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Extracellular vesicles in cancer´s communication: messages we can read and how to answer

Abstract

Extracellular vesicles (EVs) are emerging as critical mediators of intercellular communication in the tumor microenvironment (TME), profoundly influencing cancer progression. These nano-sized vesicles, released by both tumor and stromal cells, carry a diverse cargo of proteins, nucleic acids, and lipids, reflecting the dynamic cellular landscape and mediating intricate interactions between cells. This review provides a comprehensive overview of the biogenesis, composition, and functional roles of EVs in cancer, highlighting their significance in both basic research and clinical applications. We discuss how cancer cells manipulate EV biogenesis pathways to produce vesicles enriched with pro-tumorigenic molecules, explore the specific contributions of EVs to key hallmarks of cancer, such as angiogenesis, metastasis, and immune evasion, emphasizing their role in shaping TME and driving therapeutic resistance. Concurrently, we submit recent knowledge on how the cargo of EVs can serve as a valuable source of biomarkers for minimally invasive liquid biopsies, and its therapeutic potential, particularly as targeted drug delivery vehicles and immunomodulatory agents, showcasing their promise for enhancing the efficacy and safety of cancer treatments. By deciphering the intricate messages carried by EVs, we can gain a deeper understanding of cancer biology and develop more effective strategies for early detection, targeted therapy, and immunotherapy, paving the way for a new era of personalized and precise cancer medicine with the potential to significantly improve patient outcomes.

Introduction

Intercellular communication is a dynamic process that reflects emerging changes in cancer initiation and progression and enables monitoring of those changes via alternation of signals transmitted within cells and their surrounding environment. EVs contain surface molecules targeting their pathways or, together with the bioactive cargo, influencing the function of recipient cells. This evidence supports the notion that EVs play multiple roles in crucial processes that are essential not only for the physiological cell-to-cell communication but also for cancer initiation, progression and dissemination and, therefore, can serve as a very useful source of information about those processes [1].

EVs mirror processes associated with cancer progression, such as hypoxia, chronic inflammation and immune system surveillance and play key roles in tumor escape. They contain information regarding the cell of origin, cancer-related changes inclination, and potential sites of metastasis, as well as the response to treatment, including the possibility of developing resistance to therapy and/or specific features of dormancy [2]. EVs are easily accessible in the body fluids and can therefore provide a harmless source of information about ongoing processes and allow us to monitor the progression of cancer-related transformations, disease progression and response to therapy [3]. Therefore, every identified change in cancer-related EVs composition is a potential biomarker and single pixel of information that finally enables us to portray the ongoing cancer-related transformations and, moreover, can help us to target anticancer therapies more effectively [4, 5].

In this review, we will point to distinct areas where EVs were proven to contribute to the cancer progress with emphasis on the relevant EVs surface molecules and cargo that mirror the ongoing process and therefore can serve as a gadget to complete the informative panel of markers of liquid biopsy and can help to estimate the right defense and therapy. Moreover, our increasing capacity to alter the content of these vesicles is starting to be utilized to create innovative therapies; therefore, finally, we will briefly introduce how EVs can be employed in cancer treatment.

Categorization of extracellular vesicles

Over the past decades, numerous small particles have been independently discovered and described by various research groups across diverse biological samples [6]. Finally, these particles were consolidated under the designation extracellular vesicles, and as our understanding of EVs has grown, it has become increasingly clear that these vesicles represent a diverse and heterogeneous population with distinct characteristics and functions.

The classification of EVs is a complex and challenging task due to their overlapping characteristics and the continual discovery of new subtypes. However, efforts have been spent to establish standard guidelines and nomenclature to facilitate the study and discussion of EVs [7,8,9]. One common approach to classify EVs is based on their size, with small EVs being defined as those measuring < 100 nm or < 200 nm, and medium/large EVs being those > 200 nm in diameter [8]. A special heterogeneous category of EVs includes extracellular particles measuring below 50 nm [10]. This size-based classification provides a useful framework for characterizing and comparing different EV populations.

In addition to size, EVs can also be classified based on their cellular compartment of origin [11]. Exosomes, which range in size from 40–150 nm, derive from the endosomal membrane and have been extensively studied for their role in intercellular communication. Ectosomes, on the other hand, are shed directly from the cell's plasma membrane and can be further classified into microvesicles (100–200 nm) and small/large oncosomes (100 nm–10 μm), with the latter being exclusively produced by cancer cells. Apoptotic bodies (50 nm–5 μm) represent another major subtype of EVs, generated during the process of programmed cell death through the characteristic membrane blebbing [8]. Newly identified subpopulations of EVs, termed ‘exomeres’ and ‘supermeres,’ are also characterized by a size of ≤ 50 nm. Unlike other EV subtypes, exomeres have been defined as non-membranous nanovesicles, whereas supermeres, though similarly sized, differ both morphologically and structurally from exomeres and exhibit distinct cellular-uptake kinetics compared to small EVs and exomeres [10, 12]. For more details, see Fig. 1.

Fig. 1
figure 1

Classification of extracellular vesicles (EVs) and illustration of their biogenesis. EVs are classified based on their biogenesis mechanism concept (e.g., exosomes, microvesicles, apoptotic bodies and oncosomes). Exomeres and supermeres represent a special subtype of EVs themed extracellular particles. However, exomeres are morphologically distinct from supermeres, both types of extracellular particles were described to carry clinically relevant cargo. EVs exhibit several cancer-related quantity and quality modifications pointing to the development of oncogenic processes. On the other hand, vesicles´ biogenesis exhibits promising cancer therapy. Created in BioRender. Čapková, M. (2025) https://BioRender.com/y45t011

Understanding EVs diversity: biogenesis and implications in oncogenesis

Because the various EV subpopulations often overlap in size, isolating them with both high yield and precision remains challenging. This difficulty impedes the study of individual EVs subtypes and underscores the value of strategies that inhibit specific biogenesis pathways. Moreover, suppressing EVs biogenesis has emerged as a promising therapeutic avenue for cancer treatment.

Cancer cells are well recognized to secrete substantially higher quantities of EVs than their nonmalignant counterparts, frequently with altered compositions [13,14,15,16]. Both changes in EVs content and increases in secretion rate may contribute to the carcinogenic effects of tumor-derived EVs. While elevated EVs secretion can lead to excessive stimulation of recipient cells, shifts in EV composition—through modifications in EVs subtypes or cargo loading—can induce tumor-promoting changes in the microenvironment. Numerous oncogenes and tumor suppressor genes, in both wild-type and mutant forms, have been implicated in regulating EVs biogenesis [17, 18]. For summarization of cancer-related changes in biogenesis, see Table 1.

Table 1 Cancer-related changes in EVs biogenesis

Exosome biogenesis

Exosomes arise from the endosomal pathway, a complex network initially designed for sorting and degrading cellular components. Cancer cells, however, exploit this system, turning it into a production line for pro-tumorigenic EVs.

The key steps of exosome biogenesis are: (i) Inward Budding: the endosomal membrane invaginates, forming intraluminal vesicles (ILVs) within multivesicular bodies (MVBs). This process, tightly controlled by the Endosomal Sorting Complex Required for Transport (ESCRT) machinery, relies on ubiquitin tagging of target proteins for ILV inclusion [30, 31]. In cancer, oncogenic signaling pathways can directly influence ESCRT activity, leading to the preferential packaging of oncoproteins, growth factors, and immunosuppressive molecules such as RNA molecules (for more information, see Table 2) into exosomes, transforming them into potent vehicles for tumor progression [32]. Lee et al. identified that GPR143 (G-protein coupled receptor 143) interacts with Hrs (an ESCRT-0 subunit) and promotes its association with cargo proteins, which subsequently enables selective protein sorting into intraluminal vesicles in MVB. GPR143 is elevated in multiple cancers, where GPR143-ESCRT pathway promotes the secretion of EVs that carry unique cargo, including integrins and signaling proteins [33]. It was described by Hoshino et al. that Hrs also promoted invadopodia formation and cell invasion in SCC61 and head and neck squamous carcinoma cell lines. Invadopodia are part of MVBs docking and secretion mechanisms and significantly increase the secretion of EVs and metalloproteinases favoring tumor invasion and metastasis [34]. Peng et al. revealed that similarly, a long noncoding RNA LINC00511 is involved in MVB trafficking, exosome secretion, invadopodia formation, and tumor invasion [35].

Table 2 Different types of RNA contained in EVs

(ii) MVB Trafficking: Once formed, MVBs must navigate a complex intracellular landscape, avoiding degradation by lysosomes [47,48,49]. This journey is directed by Rab GTPases, master regulators of membrane trafficking [50,51,52]. Cancer cells frequently exhibit dysregulation of Rab expression, rather than mutation of Rab genes, altering both the quantity and destination of exosomes [53]. Rab proteins can participate in the activation of oncogenic signaling pathways like mTORC1 or PI3/AKT [54,55,56]. They can contribute to increased cell migration and invasion because they regulate the trafficking of integrins, which are crucial for cell adhesion and migration [55, 57, 58]. They can also regulate cell migration by interacting with vimentin and Ras-related C3 botulinum toxin substrate 1 [59]. Rab proteins, particularly Rab27 also participate in enhanced exosome secretion and have been implicated in the secretion of EVs containing miRNAs that enhance cancer cell proliferation and migration in gastric cancer [53, 60,61,62]. Rab proteins are key regulators of cellular processes implicated in cancer development and progression. Targeting these proteins could potentially be a therapeutic strategy for certain cancers.

(iii) Exosome Release: Exosome biogenesis culminates in the fusion of MVBs with the plasma membrane, releasing ILVs as exosomes into the extracellular space. This fusion process, mediated by SNARE proteins, represents another point of manipulation for cancer cells [63,64,65]. For example, syntaxin 6 and VAMP3 regulate MVB-plasma membrane fusion and exosome release in prostate cancer [66]. Similarly, SNAP23 and VAM3 are required for fusion in hepatocellular carcinoma [67, 68]. Altered SNARE expression also contributes to a pro-tumorigenic microenvironment by regulating matrix metalloproteinases (MMPs) secretion, or syntaxin-3 and 4, promotes integrin trafficking and therefore cell migration, and survival [69,70,71,72,73,74,75,76].

Due to the fact that tumor-derived exosomes are shaping TME homeostasis, possibilities of inhibition of exosome production in cancer and stromal cells were investigated to reduce cancer growth and metastasis [77]. Recently, several inhibitors operating through distinct mechanisms were described, ultimately reducing exosome secretion by blocking the ceramide-modulating inward budding of MVBs and the subsequent release of exosomes from them [78]. Other inhibitors target ATP-sensitive K+ channels or ATP-binding cassette transporters. These inhibitors regulate cellular cholesterol and phospholipid concentrations, ultimately inhibiting the release of MVBs and exosomes [79]. Another group of inhibitors targets cytoskeletal organization, which is essential for exosome release as well as for endocytic processes [80]. Another mechanism is targeting the Ras/Raf/ERK1/2 signaling pathway, which is crucial for the ESCRT-dependent exosome biogenesis [81, 82].

Ectosome biogenesis

Ectosomes, unlike exosomes, bud directly from the plasma membrane, making their content a direct reflection of the cell surface landscape, which is often dramatically altered in cancer. Alterations in membrane proteins (MPs) and their regulated pathways have been established as cancer hallmarks and extensively targeted in clinical applications. Li et al. systematically integrated MP interactions, genomics, and clinical outcomes for helping illuminate cancer-wide atlas and prognostic landscapes in tumor homo/heterogeneity and identifying prognostic biomarkers and druggable targets [83]. As already mentioned, vesicles budding from the plasma membrane of the cell keep the same composition; therefore, this atlas can also be applied in EVs-based liquid biopsy and can bring valuable information comparable with the evaluation of circulating tumor cells.

Ectosome biogenesis can be divided into three consecutive processes: Membrane Protrusion, Budding and Scission. Localized membrane protrusions, like filopodia and microvilli, serve as platforms for ectosome formation. Cancer cells, driven by oncogenic signaling, often display exaggerated membrane dynamics, leading to an increase in the number and size of these protrusions [84,85,86,87,88]. This provides ample space for accumulating pro-tumorigenic cargo, including MMPs, adhesion molecules, and signaling receptors, priming ectosomes for their role in invasion and metastasis [75, 89]. Actin stress fibers, membrane ruffles, lamellipodia, and filopodia are formed as a result of the activation of specific Rho GTPases—Rho, Rac1, and Cdc42—by WASP and WAVE. These actin structures are not merely components of cellular architecture; they are actively involved in the directional motility of cancer cells, a critical process in the invasion of surrounding tissues and the progression to metastasis. These proteins facilitate the dynamic reorganization of the actin cytoskeleton, which in turn allows cancer cells to establish cellular protrusions that are crucial for their interaction with the extracellular matrix and movement. This interaction is particularly crucial for the cells' capacity to degrade barriers, which is a prerequisite for invasive behavior. Additionally, these structures facilitate the cells' ability to navigate intricate extracellular environments, which contributes to their metastatic dissemination. Therefore, these proteins are emerging as potential targets for therapeutic interventions that are designed to reduce cancer metastasis by affecting cell motility and actin dynamics [90, 91]. Finally, the membrane protrusion pinches off, encapsulating cytoplasmic contents within an ectosome. This intricate process also relies on the actin cytoskeleton and cancer-associated proteins (CAPs), which are frequently exploited by cancer cells. Deregulated actin dynamics, a hallmark of tumor progression, can directly impact ectosome size, shape, and cargo composition, further amplifying their pro-tumorigenic potential [92].

There have already been suggested GPR77 or mesothelin neutralizing antibodies that inhibit the promotion of protumorigenic cancer-associated fibroblast (CAFs); however, CAF-targeted clinical trials did not recapitulate the advantageous effect from preclinical models yet [93, 94].

Apoptotic body biogenesis

Apoptotic bodies, while a consequence of programmed cell death, are not inert debris. They too carry a legacy of the cancer cell, with potential consequences for tumor progression [95, 96]. As cancer cells undergo apoptosis, their membranes undergo dramatic blebbing, forming large protrusions containing fragmented organelles and cytoplasmic contents [97, 98]. These blebs detach, forming large apoptotic bodies. While not actively secreted, they can be taken up by neighboring cells, potentially transferring oncogenic signals, drug resistance factors, or immunosuppressive molecules, even in death contributing to a pro-tumorigenic environment [99, 100].

Alternation of EVs composition: molecular architects in cancer progression

As already explained, EVs play a multifaceted role in cancer progression, influencing various stages from tumor growth to metastasis and also contribute to the immune system escape. Their diverse composition, reflecting both their biogenesis machinery and the dynamic cellular environment, serves as a molecular fingerprint of the originating cell and a potent tool for intercellular communication. Therefore, it is important to find a way to read those messages, because it can help us to reveal the ongoing process and predict the progression. This chapter delves into the cargo landscape of EVs, highlighting how their composition mirrors cancer-related alterations, communication within tumor and its microenvironment and enables the immune system surveillance. This EVs cargo can serve as a very promising source of information and certain biomarkers can provide a roadmap to monitor the cancer progression and a potent navigation to target the therapy.

Who is who? Functional consequences of the EVs origin to the cancer development

EV subpopulations in cancer are often challenging to distinguish by size as well as functionally, yet their origin and uptake determine their specialization [101]. Exosomes, formed within multivesicular bodies and released via plasma membrane fusion, carry specific cargo like tetraspanins and small RNAs. Ectosomes bud directly from the cell surface, encapsulating cytosolic and membrane proteins. Exosomes are enriched in endosomal markers (Alix, TSG101, CD63), while endosomes contain more plasma membrane components (integrins, Annexin A1) [102]. Consequently, exosomes often deliver signaling proteins or genetic regulators, reprogramming gene expression, whereas endosomes present surface-bound molecules, directly triggering receptors [102,103,104].

Exosome uptake typically involves endocytosis or membrane fusion, activating intracellular signaling. For example, exosomal integrins activate the Src kinase pathway in lung fibroblasts, promoting metastasis [105]. Similarly, tumor exosomes carrying oncogenic KRAS or EGFRvIII can drive proliferation [101]. Ectosomes, conversely, often engage surface pathways. FasL-bearing microvesicles initiate apoptosis in T cells [103], and tissue factor TF-expressing microvesicles trigger coagulation on endothelial surfaces [104].

EV subtype interactions with target cells also differ. Small exosomes (100 nm) can circulate widely, even crossing barriers, due to their size and surface proteins, enabling selective activation of distant cells [105]. Larger microvesicles and especially large oncosomes have shorter ranges, often being cleared by phagocytes. However, they readily interact with nearby cells expressing receptors for their ligands, such as immune or endothelial cells [104].

EV release and action timing also vary. Exosome secretion is relatively continuous and upregulated by stress factors (hypoxia, acidosis), accumulating early in tumor development to pre-condition distant sites for metastasis [105]. Microvesicle shedding, triggered by acute stimuli (e.g., calcium spikes, shear stress, RhoA/ROCK signaling during amoeboid transition) [106], is more immediate and transient. For example, TF+ microvesicles rapidly activate endothelium [104], and FasL+ vesicles induce T-cell apoptosis within minutes of contact [103]. While microvesicles are quickly cleared, exosomes can persist longer, exerting prolonged influence (e.g., sustaining fibroblast activation or long-term reprogramming of bone marrow progenitors). In vivo, large oncosomes correlate with tumor stage and aggressiveness [106], while exosomes are abundant in early-stage cancers, contributing to immune evasion and niche formation [105, 107].

Signs of cancer-related changes

EVs, carrying a diverse array of proteins and RNAs, offer valuable insights into cancer progression. They serve as biomarkers, reflecting ongoing oncogenic changes and facilitating intercellular communication. Proteomic studies have identified reliable surface pan-EV markers (CD9, HSPA8, HSP90AB1, ACTB, MSN, and RAP1B) and tumor-specific markers (thrombospondin-2, tenascin C, and VCAN), aiding in the distinction between cancer-derived and non-cancerous EVs [108]. Cell origin and tissue-alteration markers have also been extensively studied in various cancer types, such as breast cancer, ovarian cancer, non-small cell lung cancer, and bladder cancer [109,110,111,112,113,114]. EVs diagnostic potential goes hand in hand with their crucial role in intercellular communication. They carry signaling molecules that can activate surface receptors or be internalized by recipient cells, influencing cellular behavior. For example, connexins, particularly Cx43, have been shown to regulate EV uptake [115].

Inflammation, a frequent companion of cancer, is influenced by EVs, and EVs also bring the signs of inflammation on their surface. Tumor-derived EVs often contain inflammatory cytokines and can activate the NF-κB pathway in recipient cells, leading to increased expression of pro-inflammatory mediators [116, 117]. Additionally, EVs can carry miRNAs like miR-21 and miR-181b-1, further amplifying the inflammatory response and contributing to cancer progression [118]. Damage-associated molecular patterns (DAMPs) can also be associated with EVs and play a role in cancer development. Hoshino et al. have identified DAMPs enriched in tumor-derived EVs, including S100A13, basigin, galectin 9, biglycan, and integrin α5 and αX [2].

Soluble molecules within EVs constitute a diverse class of proteins or RNAs found in the lumen. Enclosed within the EV membrane, these molecules are shielded from the external environment, rendering them stable and resistant to degradation. These molecules act as messengers, pivotal in intercellular communication by transmitting signals from the donor to the recipient cell. This internal cargo of EVs, particularly RNAs, holds significant promise as biomarkers and therapeutic targets (see Table 2: Different Types of RNA Contained in EVs). These RNA molecules can regulate gene expression and function in recipient cells, influencing cancer proliferation and progression. They affect this process in both directions to accelerate and promote it as well as they may contribute to its suppression. Therefore, multiple RNAs, lipids, and proteins are suggested as cancer biomarkers, while others may hold potential to be employed in cancer treatment (see Supplementary Table 1 for RNAs and Supplementary Table 2 for proteins and lipids).

EVs contribution to angiogenesis

Increased multiplication of tumor cells is usually accompanied by a lack of nutrients and oxygen. For further tumor growth, angiogenesis, the formation of new blood vessels, is a critical process. Vascular endothelial growth factor (VEGF), a proangiogenic factor secreted by both endothelial and tumor cells, is a primary driver of this process [119,120,121]. EVs containing VEGF likely play a significant role in early tumor angiogenesis [122]. Studies have shown that EVs can activate a specific form of VEGF called VEGF90K [123, 124]. The presence of heat shock protein 90 (Hsp90) near exosomal VEGF has been demonstrated to reduce the effectiveness of bevacizumab, a monoclonal antibody targeting VEGF-A, and contribute to the resistance of angiogenesis-targeted treatments [125]. Enrichment of Hsp90/p‐IKKα/β complex in hypoxic melanoma-derived EVs can activate the IKK/IκB/NF‐κB signaling pathway, leading to increased expression of CXCL1 and promoting melanoma angiogenesis and progression [126]. Malignant transformation of prostate epithelial cells often entails a notable shift in the intracellular localization of galectin-3 (Gal-3) [127]. Under normal conditions, Gal-3 is mainly sequestered within the nucleus, where it exerts anti-apoptotic functions. In contrast, prostate cancer cells typically show a cytoplasmic redistribution of Gal-3. This change fosters tumor growth, promotes angiogenesis, and confers resistance to therapy [128]. Notably, elevated cytoplasmic Gal-3 can be actively packaged into EVs, where it may serve as a prognostic biomarker of disease progression [129].

Other proteins found in EVs, such as carbonic anhydrase 9 [130], annexin II [131, 132], and WNT5 [133], also contribute to angiogenesis and represent potential biomarkers as well as targets for antiangiogenic therapy. EVs derived from pancreatic cancer have been found to activate the PI3K/Akt or MAPK signaling pathways [134, 135]. Pancreatic cancer-derived EVs were shown to contain miR5703 downregulating the CMTM4 or miR4465 and miR616-3P repressing PTEN and activating the Akt [136, 137]. Targeting mTOR, a component of the PI3K/AKT pathway, is a common approach to inhibit tumor growth and angiogenesis [138, 139]. Lu et al. demonstrated that miR-338 can inhibit proliferation and autophagy by targeting ATF2 via the PI3K/AKT/mTOR pathway in cervical cancer cells, suggesting its potential as a novel therapeutic target [140]. The list of other RNA molecules promoting and suppressing angiogenesis, and therefore presenting potential biomarkers and components of targeted therapy, is presented in Supplementary Table 3.

EVs-mediated epithelial-to-mesenchymal transition, metastasis and organotropism

The transition of cancer cells from a benign to a metastatic state is often characterized by a shift in cellular phenotype, known as epithelial-mesenchymal transition (EMT). This is another key point determining the cancer progression and has enormous importance for monitoring of cancer development. This shift is usually diagnosed by the downregulation of epithelial markers like E-cadherin and the upregulation of mesenchymal markers like N-cadherin and vimentin on cells [141]. As explained above, endosomes keep the signs of parental cells on their surface; therefore, those changes can be determinants on tumor-derived EVs.

Hypoxia, low oxygen levels, is a common condition within tumors and plays a significant role in driving EMT and metastatic spread. While hypoxia influences the cargo of EVs and their properties, a universal EV marker specific to hypoxic conditions has not yet been identified. On the other hand, a set of secondary signs of experiencing hypoxia can be employed to monitor cancer development. Several EMT-inducers, including TGFβ, HIF-α, β-catenin, caveolin-1, and vimentin, have been found within EVs produced by solid tumors under hypoxic conditions [142,143,144,145]. Additionally, stromal cells within TME can facilitate EMT, invasion, and metastasis. For example, bone marrow-derived mesenchymal stem cells and their hypoxia-secreted EVs have been shown to transfer specific miRNAs (miR-193a-3p, miR-120-3p, and miR-5100) to surrounding lung cancer cells, activating the STAT3 signaling pathway and inducing an EMT phenotype [146].

Beyond their role in EMT, EVs secreted by hypoxic cells can also contribute to the increased mobility and invasiveness of cancer cells. Kumar et al. demonstrated that these EVs can activate the production of MMP2 and 9 and extracellular matrix components like fibronectin and collagen [147]. Jong et al. identified lysyl oxidase-like 2 (LOXL2) on the surface of EVs released by human microvascular endothelial cells [148]. LOXL2 is involved in the remodeling of extracellular matrix proteins like fibronectin and collagen, promoting their cross-linking and contributing to the formation of the pre-metastatic niche [149].

Furthermore, EVs secreted by hypoxic cells have been shown to increase the permeability of blood vessels, allowing cancer cells to enter the bloodstream and spread to distant organs. Li et al. reported that EVs released by oral squamous cell carcinoma cells under hypoxic conditions contain high levels of miR-21, which can induce growth and metastasis [150]. EVs derived from hypoxic lung adenocarcinoma cells have been shown to increase the transmigration of cancer cells by delivering miR-23, which regulates the tight junction protein ZO-1 in the endothelium [151]. Lin et al. demonstrated that a circRNA, circPDK1, induced by hypoxia, promotes pancreatic cancer cell proliferation, migration, and glycolysis. CircPDK1 may be activated mechanistically by HIF1α at the transcriptional level and by miR-628-3p, to activate the BPTF/c-myc axis [152]. All those secondary signs of experiencing hypoxia can be found on tumor-related EVs and contribute to the overall picture of the cancer progression and initiation of metastasis followed by the cancer spread. All those biomarkers can bring valuable information about ongoing changes in solid tumors and can point to a tendency to metastasize. More information on how hypoxia influences the EVs cargo and, therefore, contributes to cancer development is depicted in Fig. 2.

Fig. 2
figure 2

Hypoxia-induced adaptations in extracellular vesicle (EV) biogenesis and function in cancer progression. Activation of STAT3 under hypoxic conditions regulates Rab7 and Rab27a proteins to stimulate the production of EVs. Similarly, Rab5 regulates clathrin-coated vesicle-mediated transport from cell membrane to early endosomes and homotypic early endosome fusion, indicating a potential mechanism of early endosome formation and, consequently, the regulation of EV release. These hypoxia-adapted EVs modulate various aspects of cancer progression: metastatic niche preparation, epithelial-mesenchymal transition (EMT), enhanced cellular mobility, angiogenesis, drug resistance, and immunomodulation of immune cells. The diverse EV cargo, including specific miRNAs, proteins, and metabolites, orchestrates these multifaceted effects, illustrating the pivotal role of EVs in hypoxia-driven tumor adaptation and progression. Created in BioRender. Čapková, M. (2025) https://BioRender.com/s07i322

Integrins, a family of cell surface receptors involved in cell–matrix and cell–cell adhesion, are also very promising candidates for biomarkers [153, 154]. They bring valuable information for monitoring and/or predicting the metastatic spread of cancer. Moreover, they can help to predict the organotropism of the metastases. Hoshino et al. demonstrated that integrins on the surface of tumor-secreted EVs can direct organ-specific colonization by fusing with target cells in a tissue-specific manner, initiating the formation of the pre-metastatic niche [105]. These findings suggest that integrins not only facilitate adhesion but also activate signaling pathways and inflammatory responses in target cells, priming the organ for metastatic growth. Given the importance of integrins in organotropism and metastasis development, targeting integrins has emerged as a potential therapeutic strategy. Hoshino et al. demonstrated that integrin-blocking decoy peptides can successfully inhibit tumor EV adhesion in an integrin-specific and organ-specific manner [105]. Targeting specific integrins, such as αv, has shown promise in preventing metastasis to certain organs [105, 155,156,157,158,159]. Additionally, inhibiting α5β1, an upstream regulator of c-Met, Src, and FAK, has been shown to decelerate liver metastasis in mouse models of ovarian cancer and colorectal cancer [159,160,161].

There were several regulating RNAs identified to be connected with influence on metastasis (see Supplementary Table 4) The whole spectrum of RNAs delivered by EVs as its cargo can serve as prognostic markers. Moreover, those with suppressing influence in the metastatic spread hold significant promising potential in cancer treatment.

EVs: important players in immune system surveillance and drug resistance

Immunity serves as a primary defense against cancer, and one of the critical cancer-eliminating mechanisms is mediated by the complement system. Cancer cells that fail to evade complement-mediated killing are typically eliminated at an early stage. However, for example, prostate cancer cells use EVs to disrupt the complement cascade through at least two key strategies [162]. First, they exhibit high activity of protein kinases A and C, as well as casein kinase II, which together phosphorylate the C3 complement component and thus inhibit its activation [163]. Second, these prostate cancer cell-derived EVs overexpress CD59, a well-known inhibitor of the membrane attack complex, blocking the final step of complement-mediated cell lysis [164].

Initiation of immune surveillance is a very dangerous situation. Tumor cells compromise the immune system’s vigilance and cause its failure in elimination of the tumor cells. Moreover, those tumors usually do not respond to immunotherapy. Aberrant expression of immune checkpoints (ICPs) usually plays a significant role, while cancer cells hijack the immunosuppressive effects of immunosuppressive ICPs to promote tumor progression. Several studies revealed that EVs-related ICPs have immunomodulatory effects and are involved in tumor immunity [165]. However, this is not the only strategy. Cancer cells employ various strategies to achieve this, including the secretion of large numbers of EVs that disrupt immune cell function and activate immunosuppressive cells. This contributes to the formation of a tumor-permissive microenvironment and to the tumor escape mechanism (see Fig. 3) [166].

Fig. 3
figure 3

Immunomodulatory effects of tumor-derived extracellular vesicles (EVs) on the immune microenvironment. Schematic illustration of diverse impacts of tumor-derived EVs on various immune cell populations within the tumor microenvironment. EVs mediate multiple immunosuppressive mechanisms that collectively contribute to tumor immune evasion, promoting angiogenesis, tumor growth, and metastasis, thereby highlighting the crucial role of EVs in shaping the immunosuppressive tumor microenvironment. Created in BioRender. Čapková, M. (2025) https://BioRender.com/q08q189

Natural killers

Natural killer (NK) cells are crucial components of the innate immune system, capable of recognizing and eliminating tumor cells without prior activation [167]. However, tumor-derived EVs can effectively disarm NK cells, compromising their cytotoxic function and enabling tumor escape. One mechanism involves the downregulation of NKG2D, a key activating receptor on NK cells [168, 169]. Additionally, tumor-derived EVs can carry high levels of TNF-β, which can also reduce the expression of activating receptors NKp30 and NKG2D on NK cells [170,171,172,173].

Furthermore, tumor-derived EVs can interfere with NK cell cytokine production. While short-term exposure to these EVs may initially stimulate NK cell cytotoxicity, long-term exposure can inhibit their cytotoxic function [174]. EVs derived from various cancer types have been shown to significantly reduce the secretion of TNF-α and IFNγ by NK cells [168, 175], hindering their ability to orchestrate an effective anti-tumor immune response.

T-lymphocytes

Tumor-derived EVs exert a multifaceted suppressive effect on T-cells, orchestrating their dysfunction and ultimately facilitating immune evasion. One of the key strategies employed is metabolic reprogramming within the TME depleting the nutrients and starving the T-cells [176,177,178,179,180,181]. This nutrient depletion significantly impairs T-cell proliferation, cytokine secretion, and cytotoxic activity, hindering their ability to mount an effective anti-tumor response [182].

Beyond metabolic reprogramming, tumor-derived EVs can affect T-cells through various mechanisms, including the delivery of DNA, miRNAs, and suppressive protein ligands [183,184,185,186,187,188]. These interactions can inhibit T-cell proliferation, promote the expansion of regulatory T cells (Tregs), or trigger T-cell apoptosis and exhaustion.

Tumor-derived EVs can suppress T cell proliferation via transforming growth factor-ß [145] or hsa-miR-24-3p, hsa-miR-891a, hsa-miR-106a-5p, hsa-miR-20a-5p, and hsa-miR-1908 clusters, which down-regulate the MARK1 signaling pathway and alter cell proliferation and differentiation [186]. Additionally, EVs from mesothelioma cells have been shown to impair proliferative responses to IL-2 in CD4 + and CD8 + T cells [189]. EVs from nasopharyngeal carcinoma have been reported to impede the differentiation of immune-active Th1 and Th17 lymphocytes and induce the differentiation of immunosuppressive Tregs [186]. Specific miRNAs within EVs can also influence T-cell differentiation, such as miR-24-3p, which can inhibit the differentiation of Th1 and Th17 cells via repression of FGF11 [184], and miR-29a-3p and miR-21-5p, which can induce the Treg/Th17 cell imbalance [185].

T-cell exhaustion is another mechanism by which tumor-derived EVs can suppress anti-tumor immunity. Exhausted T cells exhibit reduced cytokine secretion, increased expression of inhibitory molecules, and a decreased ability to control tumor growth [190,191,192]. Tumor-derived EVs can induce T-cell exhaustion indirectly by activating anti-inflammatory M2 macrophages with EVs containing miR-146-5p or by delivering specific RNA cargo such as miR14-3-3ζ, circRNA-002178 [193,194,195].

Furthermore, tumor-derived EVs can induce T-cell apoptosis through mechanisms such as the activation of Fas ligand [188, 196]. EVs from pancreatic cancer cells can activate p38 MAP kinase signaling in T cells, leading to stress-mediated apoptosis [135].

Myeloid-derived suppressor cells

Myeloid-derived suppressor cells (MDSCs) play a significant role in immunosuppression and represent a challenge for many cancer immunotherapies [197].

Within the TME, cytokines produced by tumor cells, stromal cells, and activated immune cells induce the activation, expansion, and immunosuppressive activity of MDSCs [198,199,200]. Tumor-derived EVs contribute to MDSC survival by enhancing the expression of the anti-apoptotic protein Bcl-xL and activating the STAT1/3 pathway [201]. Additionally, these EVs can boost the production of suppressive molecules by MDSCs and enhance their suppressive activity in tumor models [107]. Furthermore, melanoma-derived EVs have been shown to promote the differentiation of myeloid cells into TGF-β-secreting cells while inhibiting their differentiation into dendritic cells (DCs) [202].

Neutrophils

Neutrophils, the most abundant type of white blood cell, play critical roles in tumor development. Within TME, cancer cells can regulate the behavior of neutrophils, transforming some into a pro-tumor phenotype [203].

Zhang et al. analyzed proteins derived from gastric cancer cells and found that EVs released by these cells contain high levels of high mobility group box 1 (HMGB1) [204]. HMGB1 plays a crucial role in initiating neutrophil pro-tumor activation, interacting with TLR4 to activate the TNF-β pathway and induce autophagy and pro-tumor activation of neutrophils via HMGB1/TLR4/NF-κB signaling [204].

Tumor-derived EVs can accumulate in lymphatic endothelium, creating a local chemotactic gradient involving CXCL8 that promotes neutrophil influx and the deposition of neutrophil extracellular traps (NETs). This microenvironment is favorable for tumor growth, suggesting that targeting NETs could be a potential therapeutic strategy [205].

Dendritic cells

DCs are crucial antigen-presenting cells that play a pivotal role in the immune response. However, in the context of cancer, DCs can be impaired, contributing to tumor development. DCs capture, process, and present tumor-derived antigens to T cells, but defects in DCs function can lead to antigen-specific tolerance [206,207,208].

Tumor-derived EVs play a significant role in inhibiting DCs function [209]. HLA-G, a non-classical MHC-I molecule expressed on tumor-derived EVs, can suppress T cells, NK cells, and DCs [210, 211]. Additionally, these EVs can inhibit the differentiation of DCs from bone marrow progenitors and monocytes, via prostanoids (e.g., PGE2) derived from cyclooxygenase-2, promoting the development of MDSCs [107, 202, 212,213,214,215,216].

Tumor-derived EVs can also impair DC maturation and antigen presentation [217]. Galectin-9 on the surface of glioblastoma multiforme-derived EVs can interact with the TIM3 receptor on DCs, inhibiting their antigen recognition, processing, and presentation [218, 219]. EVs enriched in S100A8 and S100A9 can also compromise DC maturation [220].

Furthermore, CD47, a protein expressed on tumor-derived EVs, can protect these EVs from phagocytosis by monocytes and macrophages [221]. This may allow EVs to avoid being taken up by DCs while still delivering their pro-tumorigenic contents. CD47 on EVs can also facilitate MDSC chemotaxis and migration, further impairing DCs maturation [197, 222].

Macrophages

Macrophages are highly plastic immune cells that can play both beneficial and harmful roles in cancer. While M1 macrophages have anti-tumor properties, M2 macrophages promote tumor growth, angiogenesis, and immunosuppression [223,224,225]. Tumor-derived EVs can actively shift the balance towards the pro-tumorigenic M2 phenotype, creating a tumor-favorable microenvironment [226].

Li et al. identified HMGB1 in EVs derived from esophageal squamous cell carcinoma and confirmed that EVs-related HMGB1 can trigger the differentiation of monocytes into PD1-positive tumor-associated macrophages, contributing to tumor progression [227].

One well-established mechanism by which tumor-derived EVs can reprogram macrophage function involves the transfer of miRNAs. For example, EVs containing miR-222 can target phosphatases and the PTEN gene, activating the Akt pathway and promoting M2 macrophage polarization [228, 229]. Similarly, upregulation of specific circRNAs such as hsa-circ0048117 or circFARSA can also promote M2 polarization in various cancer types [230]. These findings demonstrate the ability of tumor-derived cells to reprogram macrophage function by delivering the specific miRNA cargo.

Immunity functions as the primary barrier against cancer initiation and acts as the initial "treatment" to eradicate cancer cells. When this first line of defense fails (with the contribution of EVs), there are still several post-surgical strategies on how to minimize the cancer's progress and spread. Unfortunately, as with everything, cancer treatment has its limitations and weak points as well. One of them is drug resistance development.

Drug resistance

Approximately 90% of cancer-related deaths are associated with drug resistance [231]. Early distinguishing of the potential to drug resistance to a certain treatment is of high importance, as it can result in an inefficient treatment and loss of precious time, and, moreover, it helps to minimize the side effects of the treatment. EVs bring a new approach in recognition of drug resistance via liquid biopsy and also exhibit important examples of where the inhibition of EVs’ biogenesis can take its part.

EVs can facilitate drug resistance through several mechanisms, including the regulation of drug resistance genes and the horizontal transfer of molecules that confer resistance. EVs can also act as vehicles to remove drugs from cells and serve as mediators of drug efflux, they can also hide potentially dangerous signaling molecules that would attract the immune system.

Studies have shown that EVs derived from mesenchymal stem cells (MSCs) can regulate drug resistance-related proteins like lung resistance protein (LRP) and multi resistance protein (MRP), influencing the efficacy of chemotherapy drugs such as 5-fluorouracil and cisplatin [232,233,234]. Additionally, EVs can transfer multidrug resistance between cancer cells, facilitating the modulation of P-glycoprotein expression and affecting the transportation of anticancer agents and immunosuppressants [235].

EVs can also mediate the intercellular transfer of biomolecules between drug-resistant and drug-sensitive cells, resulting in altered gene expression in the recipient cell. Under hypoxic conditions, EVs can release miRNAs like miR21 and miR-301a, which can decrease recipient cell sensitivity to cisplatin and/or promote radiation resistance [236, 237].

The release of mitochondrial DNA (mtDNA) into the cytoplasm can initiate a DAMP signaling, leading to apoptosis ultimately resulting in the initiation of intrinsic apoptosis [238]. Cancer cells have evolved mechanisms to package and release mtDNA via EVs, avoiding the activation of DNA damage pathways and immunological responses [239,240,241]. This may allow cancer cells to evade apoptosis and immune activation. Furthermore, Sansone et al. demonstrated that EVs can harbor the full mitochondrial genome and transfer it to cells with impaired metabolism, restoring metabolic activity. This horizontal transfer of mtDNA in cancer stem-like cells can lead to increased self-renewal potential and resistance to hormonal therapy [242]. For the overview of cargo contributing to the EVs mediated drug resistance, see Supplementary Table 5.

In conclusion, there are several strategies on how EVs contribute to cancer development and progression. On the other hand, this is a double-edged sword, because EVs allow us to read the information as well and keep us with the progression and react to it. A comprehensive understanding of the contribution of EVs and signal molecule messages to cancer development can allow us to shift the treatment from subsequent and belated reaction to prompt interference to the initiated process.

Potential of EVs in cancer diagnostics and treatment; current advances and future perspectives

EVs in cancer diagnostic

EVs offer a valuable source of information for monitoring disease progression, particularly cancer. They are found in all body fluids and provide a non-invasive way to study the originating cells, their oncogenic transformations, TME, and immune system homeostasis. As we have already explained, EVs can offer insights into metastatic processes, organotropism, and drug resistance [243,244,245].

Selecting the most suitable biofluid for EV analysis and defining a robust panel of biomarkers that reflect the tissue of origin is critical for accurate determination of the disease status. Because tumor-derived EVs can ‘leak’ into circulation, their detection is feasible in various biofluids. The choice of which biofluid to analyze often depends on the tissue or organ of interest. For example, urinary EVs capture molecular and physiological/pathological changes in the kidney, urothelial tract, and gonads [246]. Likewise, cerebrospinal fluid–derived EVs may assist in the early detection of brain cancers, while tear-derived EVs have been proposed as a promising source of diagnostic and prognostic biomarkers for metastatic breast cancer and potentially other malignancies [247, 248].

While plasma is a rich source of EVs, it also contains other substances that can interfere with EV analysis, such as cells, cell-free DNA, and lipoproteins. Plasma EVs primarily originate from platelets, red blood cells, and leukocytes [243]. Tumor-derived EVs represent a small minority in blood samples, and their isolation can be challenging due to the presence of lipoproteins, which are present in much higher concentrations [245, 249].

Different EV isolation methods can yield varying results due to their differing efficacy in separating various types of EVs and other molecular entities [250, 251]. The choice of analytical method and its sensitivity is crucial for the effectiveness of liquid biopsy. Recent advancements in equipment sensitivity and assays have significantly improved the sensitivity of many analytical methods, reaching picomolar or femtomolar levels.

For accurate EV-biomarker analysis, meticulous attention must be paid to preanalytical variables, including sample collection, volume, preservatives, processing, and storage temperature [244, 252]. Samples should be stored at -80 °C for long-term storage to maintain EV integrity [253].

Isolating the targeted population of EVs from blood samples is crucial for liquid biopsy. Preconcentration techniques can enhance the sensitivity of EV-based analysis. Bioaffinity-based selection and concentration of EVs decorated with relevant markers, often achieved using microfluidic devices or advanced technologies like nanoscale Fluorescence Analysis and Cytometric Sorting (nanoFACS), are promising approaches [254, 255].

A challenge in EV isolation is that various methods may yield disparate results, likely due to the differing efficacy with which they segregate the distinct subtypes of EVs and other molecular entities present in the sample [250, 251].

Despite challenges in isolating specific subpopulations, EVs show considerable promise as biomarkers for early tumor diagnosis, prognosis prediction as well as treatment response assessment.

Early screening and accurate diagnosis are critical for improving patient outcomes and reducing cancer mortality. For example, a high prevalence of KRAS mutations in circulating exosomal DNA is observed in early-stage pancreatic cancer [256]. Elevated levels of GPC1+-circulating EVs are also a promising indicator, being significantly higher in patients with pancreatic ductal carcinoma and colorectal cancer compared to healthy individuals, suggesting their potential for early detection of digestive system cancers [257, 258]. In lung cancer, detecting EVs-based EGFR T790M offers a promising clinical diagnostic tool in non-small cell lung cancer [259]. EVs from breast cancer patients exhibited elevated levels of PKG1, RALGAPA2, NFX1, and TJP2 in the cancer group [260]. A panel of seven EV protein markers—EGFR, HER2, CA125, FRα, CD24, EpCAM, and CD9 + CD63 distinguished early-stage ovarian cancers from healthy controls [261]. Another study employed three EV proteins (FGG, MUC16, and APOA4) to discriminate early-stage ovarian cancers from benign cystadenoma/healthy controls [262]. It was demonstrated that EV proteins CD99, NGFR, ENO-2, EZR, and UGT3A2 are highly specific diagnostic biomarkers for Ewing sarcoma, using patient plasma samples [263]. Furthermore, several EVs related miRNAs, including miR-21-5p, miR-4454, and miR-720/3007a, are elevated in the urine of bladder cancer patients and could serve as early diagnostic biomarkers for this disease [264, 265].

EVs biomarkers hold significant prognostic potential, reflecting changes in tumor biology and predicting cancer behavior and patient survival. They also offer a promising approach for assessing treatment response, particularly drug resistance, a major obstacle in advanced cancers. Several studies highlight the role of EVs in metastasis. Keklikoglou et al. showed that cytotoxic chemotherapy can promote breast cancer metastasis by inducing the secretion of annexin A6-enriched EVs [266]. These EVs are then transferred to lung endothelial cells, creating a pre-metastatic niche. Exosome-associated Annexin II and L-plastin also contribute to metastasis and may serve as prognostic markers in advanced breast cancer [131, 267]. In colorectal cancer, overexpression of miR-193a in EVs is a potential biomarker for liver metastasis. Zeng et al. demonstrated that tumor-derived exosomal miR-25-3p promotes colorectal cancer to liver metastasis by increasing vascular permeability and angiogenesis [268]. A clinical trial in rectal cancer found elevated plasma exosomal miR-141-3p and miR-375 in patients with liver metastasis [269]. Similarly, miR-21, miR-18a, miR-17-5p, and miR‐548c‐5p may serve as early screening markers for colorectal to liver metastasis [270,271,272,273]. In prostate cancer, urinary exosomal ITGA3 and ITGB1 are upregulated in metastatic patients compared to those with benign tumors and early-stage cancer [274].

EVs also show promise in predicting recurrence and survival. In triple-negative breast cancer patients with residual disease after neoadjuvant therapy, a plasma EV miRNA profile (miR-200a-3p, miR-203a-3p, and miR-7845-5p) correlated with increased recurrence risk. This profile could help identify high-risk patients and guide adjuvant treatment decisions [275].

Furthermore, EVs can predict treatment response and resistance. In neuroblastoma, an EV microRNA signature (miR-29c, miR-342-3p, and let-7b) predicts clinical responders [276]. Elevated miR-425-3p, on the other hand, predicts poor response to cisplatin in non-small cell lung carcinoma [277]. Gastrointestinal stromal tumor-derived EVs carry proteins that can track disease burden and predict response to targeted therapy [278]. Finally, several studies have shown that PD-L1 on EVs contributes to tumor immune evasion and can predict response to therapy and adaptive resistance [279, 280]. Porcelli et al. found that uPAR-positive EVs in metastatic melanoma patients are associated with resistance to checkpoint inhibitor immunotherapy [281].

Overall, plasma and urine remain the two most commonly examined body fluids for EV-based diagnostics; plasma as a circulating biomarker reservoir and urine as a direct route for tumors arising in the genitourinary tract. Despite technological and methodological hurdles, continuous advances in bioaffinity-based selection, microfluidic devices, and high-sensitivity assays promise to overcome these challenges, broadening the clinical application of EV-based liquid biopsy.

EVs in cancer therapy

EVs can also exhibit great potential as targeted drug-delivery nanocarriers (DDN). The rise of EV-based therapies is gaining momentum due to the safer profile and easier manufacturing, storage, and clinical use of EVs compared to cell-based therapies. However, challenges related to purity, identity, and safety must be addressed [282,283,284,285]. Several guidelines and recommendations have been published to facilitate the introduction of EVs in clinical trials, including requirements for EV isolation, characterization, and potency tests [7,8,9, 286,287,288]. The urge for unified procedures for EV implementation into medicinal practice can be illustrated by the number of clinical trials employing EVs as biomarker source or therapeutic agens (see Supplementary Table 6).

EVs as drug delivery nanocarriers

An increasing number of studies in recent years have explored the use of EVs as DDNs because of their advantageous features, including low immunogenicity and high biocompatibility. MSCs and immune cells are among the principal in vitro sources of EVs intended for drug delivery (see Fig. 4). For safety reasons, using EVs derived directly from tumor cells is generally avoided, as cancer EVs could inadvertently promote tumor invasion or epithelial-mesenchymal transition, or even transfer tumor resistance genes [282, 284].

Fig. 4
figure 4

Modification strategies of extracellular vesicles (EVs) for cancer immunotherapy. Current strategies for EVs engineering are generally divided into two categories: A. endogenous engineering including gene engineering and cell-related processes to insert the cargo of interest; and B. exogenous engineering utilizing chemical methods for surface modification to display of ligands or receptors on the EVs surface or physical methods, such as electroporation, sonication, freeze–thaw cycles, and extrusion, to increase permeability of the EVs membrane and to facilitate the loading of the cargo of interest. Created in BioRender. Čapková, M. (2025) https://BioRender.com/o12r208

A comparative evaluation of EVs derived from different cell lines and their respective biodistribution patterns revealed that although EVs primarily accumulate in the liver, lung, spleen, and gastrointestinal tract, the originating cell type and route of administration markedly affect biodistribution. For example, EVs derived from dendritic cells tend to localize preferentially to the spleen, whereas melanoma cell-derived EVs predominantly accumulate in the liver [289]. Systemic EVs administration often leads to non-specific accumulation in the liver, spleen, gastrointestinal tract, and lung, yet native EVs can also show notable accumulation in tumor tissue [289, 290].

Despite these targeting advantages, the terminal half-life of EVs remains relatively short. Even when stealth properties have been implemented (e.g., polyethylene glycol modification), the terminal half-life of EVs has reached at most about 60 min [291]. Although EVs have long been considered biocompatible due to their mammalian origin and “physiological” composition, such broad generalizations are not advisable. Indeed, while transfusion of blood-cell-derived EVs (e.g., platelet-derived EVs) usually does not provoke major adverse effects, there have been occasional associations with transfusion-related acute lung injury [292], emphasizing that the immunogenicity and biocompatibility of each individual EV formulation must be rigorously evaluated—much like any drug delivery nanocarrier.

To date, most approaches have focused on producing EVs from healthy human cell lines to minimize immunogenicity. In one example, intravenous and intraperitoneal administration of EVs derived from human embryonic kidney cells to mice for three weeks showed no observable toxic effects [293]. Data from non-human primate studies are similarly encouraging. Nonetheless, every EV-based carrier must undergo specific safety and immunogenicity assessments. Although autologous EVs have been proposed, collecting and culturing patient’s own cells to produce vesicles for re-administration, most applications favor well-characterized, non-autologous EV sources [294]. This preference stems from practical considerations such as scalability, regulatory constraints, and a desire for standardized, rigorously qualified products. Of note, non-engineered, non-autologous EVs have already been administered to human subjects in numerous clinical studies with good safety outcomes [283].

Currently, MSC-derived EVs are being tested for regenerative medicine, and dendritic-cell-derived EVs are in development for vaccine delivery. Both have demonstrated encouraging safety profiles in several phase I clinical trials [295]. Although additional refinements in EV engineering and manufacturing are necessary to optimize targeting, half-life, and release kinetics, these ongoing clinical investigations underscore the feasibility of leveraging EVs as next-generation, precision drug carriers in cancer therapy [296, 297].

Engineered EVs as drug delivery nanocarriers

Technological advancements help to overcome limited clinical application of natural EVs such as low drug delivery efficacy and insufficient antitumor capacity. Engineered EVs might be loaded with different therapeutic cargo, and preferentially target tumor sites and therefore exert great potential for cancer therapy and immunotherapy [298]. Avenues for EVs modifications and EVs-based therapeutic strategies have been already reviewed [299,300,301,302,303,304].

There are basically two kinds of approaches for EVs modification and utilization in EVs-based therapies: (i) endogenous modification: the biogenesis machinery is used for incorporation of the cargo (the parental cells are often genetically altered or stimulated before EVs isolation), (ii) exogenous modification: drugs and therapeutic agents are directly encapsulated into EVs or the EVs surface is decorated after their secretion out of the parental cells.

Strategies for endogenously engineered EVs

CRISPR/Cas genome editing has revolutionized cell engineering, enabling precise modifications of cellular DNA. EVs were utilized for targeted delivery of the CRISPR/Cas9 components, including plasmids [305, 306], mRNA [307, 308], and even the pre-assembled ribonucleoprotein complex to edit the cancer cells. However, developing safe and effective in vivo delivery systems remains the key obstacle to realizing the full potential of CRISPR-Cas9 gene therapies [309, 310]. To meet the safety criteria CRISPR/Cas9 can be utilized to engineer the cells in vitro. By incorporating genes of interest into parental cells, it's possible to engineer these cells to express desired membrane-bound proteins. Those endogenously engineered EVs can be utilized, for example, in restarting the immune system vigilance and simulation of natural processes leading to cancer clearance. These overexpressed proteins can then be transferred to EVs, modifying their surface composition [311,312,313,314].

Membrane-tethering technology for proteins is a promising approach for developing therapeutic agents. This technique involves fusing bioactive proteins, such as cytokines, with membrane-targeting sequences, allowing them to be displayed on the cell surface and induce autocrine signaling [315]. Conditioning cells with added free cytokines, especially immune cells, can also influence the properties of EVs they produce. For example, conditioning DCs or macrophages with IFN-γ can enhance the anti-tumor efficacy of their EVs [316, 317]. Stimulating NK cells with IL-15 and IL-21 can enhance their cytotoxic activity against cervical or lung cancer cells [318]. Additionally, EVs can be engineered to carry specific miRNAs or small interfering RNA (siRNA) molecules to promote or suppress the production of certain genes [319, 320].

As it was described previously, CD47 expressed on tumor-derived EVs can protect these EVs from phagocytosis by monocytes and macrophages. This “don't eat me” signal can be used to improve the retention time of engineered EVs in the bloodstream, because it enables EVs to escape from clearance by the mononuclear phagocytic system [321].

Exosomes derived from tumor cells hold promise as cancer vaccines. These EVs can present tumor antigens to immune cells, triggering an anti-tumor immune response [322, 323]. DC-derived EVs, which express MHC-I and MHC-II molecules, can induce regression of tumors through cytotoxic T lymphocyte (CTL) activation [324, 325]. Conditioning DCs with tumor-specific antigens can enhance CTL responses, and LPS-stimulated DC-EVs have shown strong T-cell activation [326, 327].

Strategies for exogenously engineered EVs

Exogenously engineered EVs are the sort of exosomes modified with surface decoration and internal therapeutic molecules. After appropriate modification, engineered EVs are able to deliver antitumor drugs to tumor sites effectively and help to decrease the side effects of the treatment (see Fig. 4). There are several benefits to enhancing the therapeutic effect of EVs: (i) improved pharmacokinetics, (ii) improved targeting of the tumor sites, and (iii) improved drug release.

In exogenous engineering, drugs and therapeutic agents are directly encapsulated into EVs [328, 329]. This can be achieved via two different mechanisms: the diffusion of therapeutic agents into the lumen of EVs along a concentration gradient or the formation of transient pores in the EVs' membrane to allow the cargo to cross. This approach allows direct control over the inserted cargo composition and offers a more reproducible mechanism to control the concentration. Therapeutic agents can be represented by specific nucleic acids, proteins, cytostatics, or agents for photothermal/photodynamic therapy and maybe in the future also gene therapy that can interfere with tumor progression [330, 331].

Surface modification of EVs can enhance their ability to target specific tissues or cells. By mimicking strategies employed by cancer cells themselves, EVs can be designed to home to metastatic sites. For example, EVs associated with chemokines like CXCR4 can be beneficial for targeted delivery [332, 333]. CXCR4 exhibits a special affinity for SDF-1, a factor widely expressed on tumor surfaces. This interaction can facilitate the aggregation of MSCs at the tumor site. However, EVs expressing high levels of CXCR4 can be used as vehicles for the precise delivery of therapeutic agents. Xu et al. demonstrated that EVs loaded with siRNA can effectively accumulate at tumor sites and suppress the Survivin gene, inhibiting tumor growth [334].

Surface modification by antibodies can also take advantage of classical cancer treatment targets, for example, targeting HER-2-positive cancer using antibodies such as trastuzumab or tucatinib. Those antibodies can serve as components of the classical treatment, moreover, they can potentially also “bring” another portion of drugs or receptor silencing agents [335, 336].

Engineered EVs (CDK-004) were designed for the treatment of advanced hepatocellular carcinoma and liver metastases [337]. CDK-004 is designed to deliver the STAT6 antisense oligonucleotide to myeloid cells, repolarizing macrophages from an immunosuppressive M2 phenotype to a pro-inflammatory M1 phenotype, potentially leading to antitumor activity.

EVs loaded with conventional anti-cancer drugs can exhibit improved therapeutic efficacy compared to the drugs alone, often with reduced systemic toxicity. For example, EVs loaded with doxorubicin or paclitaxel can achieve pronounced antitumor effects while minimizing major organ damage [338, 339].

Further engineering of EVs can enhance their therapeutic potential. For instance, EVs loaded with doxorubicin and AgS2 quantum dots can be designed for controlled release under near-infrared) irradiation, enabling targeted drug delivery to tumors and improving the penetration depth of the drug [340]. Additionally, EVs can be engineered to carry other photothermal agents, such as indocyanine green, or photosensitizers and ferroptosis inducers, for use in photodynamic therapy [341,342,343].

Precision engineering of EVs is essential for their effective therapeutic application. By modifying the surface of EVs to target specific tumor sites and optimizing their pharmacokinetics, EVs can serve as cargo vehicles for delivering therapeutic agents. This approach holds promise for improving the efficacy and safety of cancer treatments.

Cancer therapy-mediated changes on EVs cargo

Cancer therapies like radiotherapy and chemotherapy induce cellular stress through various mechanisms, including reactive oxygen species (ROS) production, DNA damage, and organelle damage, often triggering autophagy [344,345,346]. These stresses significantly alter the cargo of released EVs, a complex process influenced by cancer type and specific treatment regimens [347]. Cancer cells frequently increase EV production and release, potentially as a survival mechanism to discard damaged components or signal stress to neighboring cells [348].

ROS, crucial in cell proliferation, motility, the cell cycle, and apoptosis [349, 350], can be highly toxic to both tumor and normal cells [351]. TNF-α amplifies this toxicity by boosting ROS production and mitochondrial dysfunction [352,353,354]. Oxidative stress can impact EV biogenesis, and EVs themselves may reflect therapy-induced oxidative damage, potentially contributing to cognitive impairment in some cancer survivors. For example, the reaction between 4-hydroxy-2-nonenal and proteins, a hallmark of oxidative stress, can lead to protein misfolding and proteasome dysfunction [344, 355]. EVs may then serve as a pathway for eliminating these oxidized proteins, as demonstrated by increased EV generation following doxorubicin treatment (an oxidative stress inducer) [356]. However, the precise impact of oxidative stress on EV biogenesis requires further study.

DNA damage, another consequence of cancer therapy, can lead to the release of DNA into circulation via EVs [357, 358]. Increased DNA packaging in EVs is observed in genotoxic conditions and cancer [359]. Genotoxic drugs elevate micronuclei production and exosome release [360]. Micronuclei and exosomes can interact, sharing nuclear proteins, with CD63 facilitating nuclear material transfer into exosomes. This raises the question of whether these DNA-carrying EVs can be internalized by recipient cells and how this affects the recipient cell population.

Studies have also shown that DNA within apoptotic bodies can mediate horizontal gene transfer [361]. This has also been observed with EVs carrying DNA, which can integrate into recipient cell genomes [362]. EV-DNA can even increase the expression of corresponding mRNA and proteins [363], as demonstrated with the transfer of the BCR/ABL fusion gene in chronic myeloid leukemia [364]. Oncogenic H-ras fragments can also be transferred via EVs, increasing proliferation in recipient cells [365], although these changes may not always be permanent [366]. Furthermore, mtDNA transfer via EVs has been linked to therapy resistance, for example in breast cancer [242].

Finally, therapeutic stress can induce endoplasmatic reticulum (ER) stress and trigger the unfolded protein response (UPR) [367,368,369]. The UPR, linked to exosome secretion and autophagy, can be modulated by ER stress induced by chemotherapy and radiotherapy. This interplay between therapy-induced UPR, autophagy, and EV secretion represents a critical adaptive mechanism that may influence cancer cell survival and treatment outcomes.

EVs unique cargo composition mirrors ongoing tumor processes and provides a minimally invasive means to gauge disease progression, predict treatment responses, and identify emerging drug resistance. Moreover, EV-based strategies show potential for precision drug delivery and immunotherapy, as they can be engineered to enhance targeted treatment efficacy while minimizing adverse effects. Continued research into EV biology and refinement of isolation and characterization techniques will be crucial to harness their full clinical potential, ultimately paving the way toward more personalized and effective cancer care.

Conclusion

EVs have emerged as crucial mediators of intercellular communication in cancer, orchestrating a complex network of interactions that influence tumor progression, metastasis, immune evasion, and therapeutic response. Their diverse cargo, mirroring the dynamic cellular landscape, provides a rich source of information for understanding the intricate mechanisms driving cancer development and holds immense potential for revolutionizing cancer diagnostics and treatment.

The potential of EVs as diagnostic and therapeutic tools is rapidly expanding. Liquid biopsies utilizing EVs offer a minimally invasive approach for monitoring cancer progression and treatment response in real time. By analyzing the cargo of EVs isolated from body fluids, we can gain valuable information about tumor origin, metastatic potential, and emerging drug resistance, enabling earlier interventions and personalized treatment strategies.

As we continue to unravel the intricate mechanisms governing EVs production and function, we can anticipate further advancements in utilizing EVs for both diagnostic and therapeutic applications.

In conclusion, EVs represent a powerful tool for navigating the complex landscape of cancer. By deciphering the messages carried by these vesicles, we can gain a deeper understanding of cancer biology and develop more effective strategies for early detection, targeted therapy, and immunotherapy. On one side, EVs contribute to cancer development; on the other side, they are offering a new era of personalized and precise medicine with the potential to significantly improve patient outcomes.

Data availability

No datasets were generated or analysed during the current study.

Abbreviations

CAF:

cancer-associated fibroblast

CAP:

cancer-associated protein

circRNA:

circular RNA

CTL:

cytotoxic T lymphocyte

DAMP:

damage-associated molecular pattern

DC:

dendritic cell

DDN:

drug delivery nanocarriers

EMT:

epithelial-mesenchymal transition

ER:

endoplasmatic reticulum

ESCRT:

endosomal sorting complex required for transport

EV:

extracellular vesicle

Gal-3:

galectin 3

GPR143:

G-protein coupled receptor 143

HMGB1:

high mobility group box 1

Hsp90:

heat shock protein 90

ICP:

immune check point

ILV:

intraluminal vesicle

lncRNA:

long non-coding RNA

LOXL2:

lysyl oxidase-like 2

LRP:

lung resistance protein

MDSC:

myeloid-derived suppressor cell

miRNA:

micro RNA

MMP:

matrix metalloproteinase

MP:

membrane protein

mRNA:

messenger RNA

MRP:

multi resistance protein

MSC:

mesenchymal stem cell

mtDNA:

mitochondrial DNA

MVB:

multivesicular body

nanoFACS:

nanoscale Fluorescence Analysis and Cytometric Sorting

NET:

neutrophil extracellular trap

NK:

natural killer

piRNA:

piwi-interacting RNA

ROS:

reactive oxygen species

rRNA:

ribosomal RNA

siRNA:

small interfering RNA

snoRNA:

small nucleolar RNA

TME:

tumor microenvironment

Tregs:

regulatory T cells

tRNA:

transfer RNA

UPR:

unfolded protein response

VEGF:

vascular endothelial growth factor

vtRNA:

vault RNA

References

  1. Berumen Sánchez G, et al. Extracellular vesicles: mediators of intercellular communication in tissue injury and disease. Cell Commun Signaling. 2021;19(1):104.

    Article  Google Scholar 

  2. Hoshino A, et al. Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers. Cell. 2020;182(4):1044-1061.e18.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Kumar MA, et al. Extracellular vesicles as tools and targets in therapy for diseases. Signal Transduct Target Ther. 2024;9(1):27.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Belov L, et al. Extensive surface protein profiles of extracellular vesicles from cancer cells may provide diagnostic signatures from blood samples. J Extracellular Vesicles. 2016;5(1):25355.

    Article  Google Scholar 

  5. Ilamathi HS, El Andaloussi, Wiklander OPB. Targeted tumor delivery using extracellular vesicles. In: Ü. Langel, editor. Cancer-targeted drug delivery. New York: Springer; 2025. p. 125–153.

  6. Couch Y, et al. A brief history of nearly EV-erything - The rise and rise of extracellular vesicles. J Extracell Vesicles. 2021;10(14):e12144.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Lötvall J, et al. Minimal experimental requirements for definition of extracellular vesicles and their functions: a position statement from the International Society for Extracellular Vesicles. J Extracell Vesicles. 2014;3(1):26913.

    Article  PubMed  Google Scholar 

  8. Théry C, et al. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines. J Extracell Vesicles. 2018;7(1):1535750.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Welsh JA, et al. Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches. J Extracell Vesicles. 2024;13(2):e12404.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Zhang Q, et al. Supermeres are functional extracellular nanoparticles replete with disease biomarkers and therapeutic targets. Nat Cell Biol. 2021;23(12):1240–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Dixson AC, et al. Context-specific regulation of extracellular vesicle biogenesis and cargo selection. Nat Rev Mol Cell Biol. 2023;24(7):454–76.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Anand S, Samuel M, Mathivanan S. Exomeres: A New Member of Extracellular Vesicles Family. Subcell Biochem. 2021;97:89–97.

    Article  CAS  PubMed  Google Scholar 

  13. Logozzi M, et al. High levels of exosomes expressing CD63 and caveolin-1 in plasma of melanoma patients. PLoS ONE. 2009;4(4):e5219.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Riches A, et al. Regulation of exosome release from mammary epithelial and breast cancer cells - a new regulatory pathway. Eur J Cancer. 2014;50(5):1025–34.

    Article  CAS  PubMed  Google Scholar 

  15. Kharmate G, et al. Epidermal Growth Factor Receptor in Prostate Cancer Derived Exosomes. PLoS ONE. 2016;11(5):e0154967.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Fan SJ, et al. Glutamine deprivation alters the origin and function of cancer cell exosomes. Embo J. 2020;39(16):e103009.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Bebelman MP, et al. The forces driving cancer extracellular vesicle secretion. Neoplasia. 2021;23(1):149–57.

    Article  CAS  PubMed  Google Scholar 

  18. Bebelman MP, et al. Biogenesis and function of extracellular vesicles in cancer. Pharmacol Ther. 2018;188:1–11.

    Article  CAS  PubMed  Google Scholar 

  19. Willms E, et al. Extracellular Vesicle Heterogeneity: Subpopulations, Isolation Techniques, and Diverse Functions in Cancer Progression. Front Immunol. 2018;9:738.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Menck K, et al. Microvesicles in Cancer: Small Size, Large Potential. Int J Mol Sci. 2020;21(15):5373.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Gulati, R., et al., Exosomes as Theranostic Targets: Implications for the Clinical Prognosis of Aggressive Cancers. Frontiers in Molecular Biosciences, 2022. 9.

  22. Blanc L, Vidal M. New insights into the function of Rab GTPases in the context of exosomal secretion. Small GTPases. 2018;9(1–2):95–106.

    Article  CAS  PubMed  Google Scholar 

  23. Li Z, et al. Functional implications of Rab27 GTPases in Cancer. Cell Commun Signal. 2018;16(1):44.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Wen H, et al. MiR-185-5p targets RAB35 gene to regulate tumor cell-derived exosomes-mediated proliferation, migration and invasion of non-small cell lung cancer cells. Aging (Albany NY). 2021;13(17):21435–50.

    Article  CAS  PubMed  Google Scholar 

  25. Villagomez FR, et al. The role of the oncogenic Rab35 in cancer invasion, metastasis, and immune evasion, especially in leukemia. Small GTPases. 2020;11(5):334–45.

    Article  PubMed  Google Scholar 

  26. Alam MR, Rahman MM, Li Z. The link between intracellular calcium signaling and exosomal PD-L1 in cancer progression and immunotherapy. Genes Dis. 2024;11(1):321–34.

    Article  CAS  PubMed  Google Scholar 

  27. Liu C, et al. Identification of the SNARE complex that mediates the fusion of multivesicular bodies with the plasma membrane in exosome secretion. J Extracell Vesicles. 2023;12(9):e12356.

    Article  PubMed  Google Scholar 

  28. Mitani F, et al. SNAP23-Mediated perturbation of cholesterol-enriched membrane microdomain promotes extracellular vesicle production in Src-activated cancer cells. Biol Pharm Bull. 2022;45(10):1572–80.

    Article  CAS  PubMed  Google Scholar 

  29. Ferraiuolo RM, et al. The Multifaceted Roles of the Tumor Susceptibility Gene 101 (TSG101) in Normal Development and Disease. Cancers (Basel). 2020;12(2):450.

    Article  CAS  PubMed  Google Scholar 

  30. Keeley O, Coyne AN. Nuclear and degradative functions of the ESCRT-III pathway: implications for neurodegenerative disease. Nucleus. 2024;15(1):2349085.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Liu F, et al. Ubiquitination and deubiquitination in cancer: from mechanisms to novel therapeutic approaches. Mol Cancer. 2024;23(1):148.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Hánělová K, et al. Protein cargo in extracellular vesicles as the key mediator in the progression of cancer. Cell Commun Signaling. 2024;22(1):25.

    Article  Google Scholar 

  33. Lee YJ, et al. GPR143 controls ESCRT-dependent exosome biogenesis and promotes cancer metastasis. Dev Cell. 2023;58(4):320-334.e8.

    Article  CAS  PubMed  Google Scholar 

  34. Hoshino D, et al. Exosome secretion is enhanced by invadopodia and drives invasive behavior. Cell Rep. 2013;5(5):1159–68.

    Article  CAS  PubMed  Google Scholar 

  35. Peng X, et al. LINC00511 drives invasive behavior in hepatocellular carcinoma by regulating exosome secretion and invadopodia formation. J Exp Clin Cancer Res. 2021;40(1):183.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Lai H, et al. exoRBase 2.0: an atlas of mRNA, lncRNA and circRNA in extracellular vesicles from human biofluids. Nucleic Acids Research. 2021;50(D1):D118–28.

    Article  PubMed Central  Google Scholar 

  37. Han Z, et al. Circular RNAs and Their Role in Exosomes. Front Oncol. 2022;12:848341.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Vu LT, et al. microRNA exchange via extracellular vesicles in cancer. Cell Prolif. 2020;53(11):e12877.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Wang K, et al. Identification of the microRNA alterations in extracellular vesicles derived from human haemorrhoids. Exp Physiol. 2023;108(5):752–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Dhar R, et al. Interrelation between extracellular vesicles miRNAs with chronic lung diseases. J Cell Physiol. 2022;237(11):4021–36.

    Article  CAS  PubMed  Google Scholar 

  41. Weng Q, et al. Extracellular vesicles-associated tRNA-derived fragments (tRFs): biogenesis, biological functions, and their role as potential biomarkers in human diseases. J Mol Med. 2022;100(5):679–95.

    Article  CAS  PubMed  Google Scholar 

  42. Koeppen K, Hampton TH, Barnaby R, Roche C, Gerber SA, Goo YA, et al. An rRNA fragment in extracellular vesicles secreted by human airway epithelial cells increases the fluoroquinolone sensitivity of P. aeruginosa. Am J Physiol Lung Cell Mol Physiol. 2023;325(1):L54–l65.

  43. James V, et al. Transcriptomic Analysis of Cardiomyocyte Extracellular Vesicles in Hypertrophic Cardiomyopathy Reveals Differential snoRNA Cargo. Stem Cells Dev. 2021;30(24):1215–27.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Li B, et al. piRNA-823 delivered by multiple myeloma-derived extracellular vesicles promoted tumorigenesis through re-educating endothelial cells in the tumor environment. Oncogene. 2019;38(26):5227–38.

    Article  CAS  PubMed  Google Scholar 

  45. Driedonks TAP, Nolte-’t Hoen ENM. Circulating Y-RNAs in Extracellular Vesicles and Ribonucleoprotein Complexes; Implications for the Immune System. Front Immunol. 2019;9:3164.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Chen T-Y, et al. Extracellular vesicles carry distinct proteo-transcriptomic signatures that are different from their cancer cell of origin. iScience. 2022;25(6):104414.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Sharma A. Mitochondrial cargo export in exosomes: Possible pathways and implication in disease biology. J Cell Physiol. 2023;238(4):687–97.

    Article  CAS  PubMed  Google Scholar 

  48. Strzyz P. Alternative to lysosomal degradation: mitochondrial removal via EVs. Nat Rev Mol Cell Biol. 2023;24(11):776–776.

    Article  CAS  PubMed  Google Scholar 

  49. Ding Y, et al. Emerging degrader technologies engaging lysosomal pathways. Chem Soc Rev. 2022;51(21):8832–76.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Li G, Marlin MC. Rab Family of GTPases. In: Li G., editor. Rab GTPases: Methods and protocols. New York: Springer; 2015. p. 1–15.

  51. Martins B, et al. Contribution of extracellular vesicles for the pathogenesis of retinal diseases: shedding light on blood-retinal barrier dysfunction. J Biomed Sci. 2024;31(1):48.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Sun Y, Zhang M, Ge L. A RAB transition orchestrates membrane trafficking in unconventional protein secretion. J Cell Biol. 2024;223(2):e202312096.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Xu S, et al. Function and regulation of Rab GTPases in cancers. Cell Biol Toxicol. 2024;40(1):28.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Thomas JD, et al. Rab1A is an mTORC1 activator and a colorectal oncogene. Cancer Cell. 2014;26(5):754–69.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Wheeler DB, et al. Identification of an oncogenic RAB protein. Science. 2015;350(6257):211–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Gopal Krishnan PD, et al. Rab GTPases: Emerging Oncogenes and Tumor Suppressive Regulators for the Editing of Survival Pathways in Cancer. Cancers. 2020;12(2):259.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Pellinen T, et al. Small GTPase Rab21 regulates cell adhesion and controls endosomal traffic of beta1-integrins. J Cell Biol. 2006;173(5):767–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Caswell PT, et al. Rab25 Associates with α5β1 Integrin to Promote Invasive Migration in 3D Microenvironments. Dev Cell. 2007;13(4):496–510.

    Article  CAS  PubMed  Google Scholar 

  59. Margiotta A, et al. Rab7a regulates cell migration through Rac1 and vimentin. Biochim Biophys Acta Mol Cell Res. 2017;1864(2):367–81.

    Article  CAS  PubMed  Google Scholar 

  60. AN, H.J., et al., <em>RAB27A</em> and <em>RAB27B</em> Expression May Predict Lymph Node Metastasis and Survival in Patients With Gastric Cancer. Cancer Genom Proteom. 2022;19(5):606–613.

  61. NAMBARA S, et al. Rab27b, a regulator of exosome secretion, is associated with peritoneal metastases in gastric cancer. Cancer Genom Proteom. 2023;20(1):30–39.

  62. Song DH, et al. Exosome-mediated secretion of miR-127-3p regulated by RAB27A accelerates metastasis in renal cell carcinoma. Cancer Cell Int. 2024;24(1):153.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Kaur M, et al. Most recent advances and applications of extracellular vesicles in tackling neurological challenges. Med Res Rev. 2024;44(4):1923–66.

    Article  PubMed  Google Scholar 

  64. van der Borg G, et al. SNARE mimic peptide triggered membrane fusion kinetics revealed using single particle techniques. Phys Chem Chem Phys. 2023;25(18):13019–26.

    Article  PubMed  Google Scholar 

  65. Li Y, et al. Pan-cancer proteogenomics connects oncogenic drivers to functional states. Cell. 2023;186(18):3921-3944.e25.

    Article  CAS  PubMed  Google Scholar 

  66. Peak TC, et al. Syntaxin 6-mediated exosome secretion regulates enzalutamide resistance in prostate cancer. Mol Carcinog. 2020;59(1):62–72.

    Article  CAS  PubMed  Google Scholar 

  67. Yang L, et al. Long non-coding RNA HOTAIR promotes exosome secretion by regulating RAB35 and SNAP23 in hepatocellular carcinoma. Mol Cancer. 2019;18(1):78.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Qin W, et al. Long non-coding RNA HOTAIR promotes tumorigenesis and forecasts a poor prognosis in cholangiocarcinoma. Sci Rep. 2018;8(1):12176.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Williams KC, Coppolino MG. SNARE-dependent interaction of Src, EGFR and β1 integrin regulates invadopodia formation and tumor cell invasion. J Cell Sci. 2014;127(8):1712–25.

    Article  CAS  PubMed  Google Scholar 

  70. Miyata T, et al. Involvement of syntaxin 4 in the transport of membrane-type 1 matrix metalloproteinase to the plasma membrane in human gastric epithelial cells. Biochem Biophys Res Commun. 2004;323(1):118–24.

    Article  CAS  PubMed  Google Scholar 

  71. Williams KC, Coppolino MG. Phosphorylation of membrane type 1-matrix metalloproteinase (MT1-MMP) and its vesicle-associated membrane protein 7 (VAMP7)-dependent trafficking facilitate cell invasion and migration. J Biol Chem. 2011;286(50):43405–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Williams KC, McNeilly RE, Coppolino MG. SNAP23, Syntaxin4, and vesicle-associated membrane protein 7 (VAMP7) mediate trafficking of membrane type 1-matrix metalloproteinase (MT1-MMP) during invadopodium formation and tumor cell invasion. Mol Biol Cell. 2014;25(13):2061–70.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Day P, et al. Syntaxins 3 and 4 mediate vesicular trafficking of α5β1 and α3β1 integrins and cancer cell migration. Int J Oncol. 2011;39(4):863–71.

    CAS  PubMed  Google Scholar 

  74. Camarena ME, et al. Microproteins encoded by noncanonical ORFs are a major source of tumor-specific antigens in a liver cancer patient meta-cohort. Sci Adv. 2024;10(28):eadn3628.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Rahmati S, Moeinafshar A, Rezaei N. The multifaceted role of extracellular vesicles (EVs) in colorectal cancer: metastasis, immune suppression, therapy resistance, and autophagy crosstalk. J Transl Med. 2024;22(1):452.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Ying H, et al. Mig-6 controls EGFR trafficking and suppresses gliomagenesis. Proc Natl Acad Sci. 2010;107(15):6912–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Catalano M, O’Driscoll L. Inhibiting extracellular vesicles formation and release: a review of EV inhibitors. J Extracell Vesicles. 2020;9(1):1703244.

    Article  CAS  PubMed  Google Scholar 

  78. Zhu P-J, et al. Discovery of 3,5-Dimethyl-4-Sulfonyl-1H-Pyrrole-Based Myeloid Cell Leukemia 1 Inhibitors with High Affinity, Selectivity, and Oral Bioavailability. J Med Chem. 2021;64(15):11330–53.

    Article  CAS  PubMed  Google Scholar 

  79. Tron AE, et al. Discovery of Mcl-1-specific inhibitor AZD5991 and preclinical activity in multiple myeloma and acute myeloid leukemia. Nat Commun. 2018;9(1):5341.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  80. Han JM, Kim HL, Jung HJ. Ampelopsin Inhibits Cell Proliferation and Induces Apoptosis in HL60 and K562 Leukemia Cells by Downregulating AKT and NF-κB Signaling Pathways. Int J Mol Sci. 2021;22(8):4265.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Anaya-Eugenio GD, et al. A pentamethoxylated flavone from Glycosmis ovoidea promotes apoptosis through the intrinsic pathway and inhibits migration of MCF-7 breast cancer cells. Phytother Res. 2021;35(3):1634–45.

    Article  CAS  PubMed  Google Scholar 

  82. Shin M-K, et al. In Vivo and In Vitro Effects of Tracheloside on Colorectal Cancer Cell Proliferation and Metastasis. Antioxidants. 2021;10(4):513.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Lin C-Y, et al. Membrane protein-regulated networks across human cancers. Nat Commun. 2019;10(1):3131.

    Article  PubMed  PubMed Central  Google Scholar 

  84. Nazari SS, et al. Long Prehensile Protrusions Can Facilitate Cancer Cell Invasion through the Basement Membrane. Cells. 2023;12(20):2474.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  85. Pratiwi L, Elisa E, Sutanto H. Probing the protrusions: lamellipodia and filopodia in cancer invasion and beyond. Mechanobiol Med. 2024;2(2):100064.

    Article  Google Scholar 

  86. Hu HT, et al. The cellular protrusions for inter-cellular material transfer: similarities between filopodia, cytonemes, tunneling nanotubes, viruses, and extracellular vesicles. Front Cell Dev Biol. 2024;12:1422227.

    Article  PubMed  PubMed Central  Google Scholar 

  87. Zhu X, et al. Macrophages release IL11-containing filopodial tip vesicles and contribute to renal interstitial inflammation. Cell Commun Signaling. 2023;21(1):293.

    Article  CAS  Google Scholar 

  88. Gerke V, et al. Annexins—a family of proteins with distinctive tastes for cell signaling and membrane dynamics. Nat Commun. 2024;15(1):1574.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Zhang C, et al. Tumor-derived small extracellular vesicles in cancer invasion and metastasis: molecular mechanisms, and clinical significance. Mol Cancer. 2024;23(1):18.

    Article  PubMed  PubMed Central  Google Scholar 

  90. Lane J, et al. Structure and role of WASP and WAVE in Rho GTPase signalling in cancer. Cancer Genomics Proteomics. 2014;11(3):155–65.

    PubMed  Google Scholar 

  91. Rana PS, et al. The Role of WAVE2 Signaling in Cancer. Biomedicines. 2021;9(9):1217.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Ayanlaja AA, et al. Susceptibility of cytoskeletal-associated proteins for tumor progression. Cell Mol Life Sci. 2021;79(1):13.

    Article  PubMed  PubMed Central  Google Scholar 

  93. Cao Z, et al. Cancer-associated fibroblasts as therapeutic targets for cancer: advances, challenges, and future prospects. J Biomed Sci. 2025;32(1):7.

    Article  PubMed  PubMed Central  Google Scholar 

  94. Nedaeinia R, et al. The role of cancer-associated fibroblasts and exosomal miRNAs-mediated intercellular communication in the tumor microenvironment and the biology of carcinogenesis: a systematic review. Cell Death Discovery. 2024;10(1):380.

    Article  PubMed  PubMed Central  Google Scholar 

  95. Yu L, et al. Apoptotic bodies: bioactive treasure left behind by the dying cells with robust diagnostic and therapeutic application potentials. J Nanobiotechnol. 2023;21(1):218.

    Article  Google Scholar 

  96. Zou X, et al. Advances in biological functions and applications of apoptotic vesicles. Cell Commun Signaling. 2023;21(1):260.

    Article  Google Scholar 

  97. Driscoll MK, et al. Proteolysis-free amoeboid migration of melanoma cells through crowded environments via bleb-driven worrying. Dev Cell. 2024;59(18):2414-2428.e8.

    Article  CAS  PubMed  Google Scholar 

  98. Reichman-Fried M, Raz E. Bleb protrusions help cancer cells to cheat death. Nature. 2023;615(7952):402–3.

    Article  PubMed  Google Scholar 

  99. Najafi S, Majidpoor J, Mortezaee K. Extracellular vesicle–based drug delivery in cancer immunotherapy. Drug Deliv Transl Res. 2023;13(11):2790–806.

    Article  CAS  PubMed  Google Scholar 

  100. Wen J, et al. Comparison of immunotherapy mediated by apoptotic bodies, microvesicles and exosomes: apoptotic bodies’ unique anti-inflammatory potential. J Transl Med. 2023;21(1):478.

    Article  PubMed  PubMed Central  Google Scholar 

  101. Sullivan R, et al. The Emerging Roles of Extracellular Vesicles As Communication Vehicles within the Tumor Microenvironment and Beyond. Front Endocrinol. 2017;8:194.

    Article  Google Scholar 

  102. Fu Y, Xiong S. Differential traits between microvesicles and exosomes in enterovirus infection. MedComm. 2023;4(5):e384.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  103. Andreola G, et al. Induction of lymphocyte apoptosis by tumor cell secretion of FasL-bearing microvesicles. J Exp Med. 2002;195(10):1303–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  104. Che SPY, Park JY, Stokol T. Tissue Factor-Expressing Tumor-Derived Extracellular Vesicles Activate Quiescent Endothelial Cells via Protease-Activated Receptor-1. Front Oncol. 2017;7:261.

    Article  PubMed  PubMed Central  Google Scholar 

  105. Hoshino A, et al. Tumour exosome integrins determine organotropic metastasis. Nature. 2015;527(7578):329–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  106. Minciacchi VR, Freeman MR, Di Vizio D. Extracellular vesicles in cancer: exosomes, microvesicles and the emerging role of large oncosomes. Semin Cell Dev Biol. 2015;40:41–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  107. Xiang X, et al. Induction of myeloid-derived suppressor cells by tumor exosomes. Int J Cancer. 2009;124(11):2621–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  108. Yu D, et al. Exosomes as a new frontier of cancer liquid biopsy. Mol Cancer. 2022;21(1):56.

    Article  PubMed  PubMed Central  Google Scholar 

  109. Risha Y, et al. The proteomic analysis of breast cell line exosomes reveals disease patterns and potential biomarkers. Sci Rep. 2020;10(1):13572.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  110. Esfandyari S, et al. Exosomes as Biomarkers for Female Reproductive Diseases Diagnosis and Therapy. Int J Mol Sci. 2021;22(4):2165.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  111. Chanteloup G, et al. Membrane-bound exosomal HSP70 as a biomarker for detection and monitoring of malignant solid tumours: a pilot study. Pilot and Feasibility Studies. 2020;6(1):35.

    Article  PubMed  PubMed Central  Google Scholar 

  112. Wu S, et al. Intercellular transfer of exosomal wild type EGFR triggers osimertinib resistance in non-small cell lung cancer. Mol Cancer. 2021;20(1):17.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  113. Fan Y, et al. High-sensitive and multiplex biosensing assay of NSCLC-derived exosomes via different recognition sites based on SPRi array. Biosens Bioelectron. 2020;154:112066.

    Article  CAS  PubMed  Google Scholar 

  114. Wang Y-T, et al. Proteomic Analysis of Exosomes for Discovery of Protein Biomarkers for Prostate and Bladder Cancer. Cancers. 2020;12(9):2335.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  115. Yang ZJ, et al. Exosomes Derived from Glioma Cells under Hypoxia Promote Angiogenesis through Up-regulated Exosomal Connexin 43. Int J Med Sci. 2022;19(7):1205–15.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  116. Kartikasari AER, et al. Tumor-Induced Inflammatory Cytokines and the Emerging Diagnostic Devices for Cancer Detection and Prognosis. Front Oncol. 2021;11:692142.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  117. Liu T, et al. NF-κB signaling in inflammation. Signal Transduct Target Ther. 2017;2(1):17023.

    Article  PubMed  PubMed Central  Google Scholar 

  118. Markopoulos GS, et al. Roles of NF-κB Signaling in the Regulation of miRNAs Impacting on Inflammation in Cancer. Biomedicines. 2018;6(2):40.

    Article  PubMed  PubMed Central  Google Scholar 

  119. Aslan C, et al. Tumor-derived exosomes: Implication in angiogenesis and antiangiogenesis cancer therapy. J Cell Physiol. 2019;234(10):16885–903.

    Article  CAS  PubMed  Google Scholar 

  120. Ahmadi M, Rezaie J. Tumor cells derived-exosomes as angiogenenic agents: possible therapeutic implications. J Transl Med. 2020;18(1):249.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  121. Du E, et al. The critical role of the interplays of EphrinB2/EphB4 and VEGF in the induction of angiogenesis. Mol Biol Rep. 2020;47(6):4681–90.

    Article  CAS  PubMed  Google Scholar 

  122. Bhat A, et al. Exosomes from cervical cancer cells facilitate pro-angiogenic endothelial reconditioning through transfer of Hedgehog–GLI signaling components. Cancer Cell Int. 2021;21(1):319.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  123. Feng Q, et al. A class of extracellular vesicles from breast cancer cells activates VEGF receptors and tumour angiogenesis. Nat Commun. 2017;8(1):14450.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  124. Zhang S, Yang J, Shen L. Extracellular vesicle-mediated regulation of tumor angiogenesis— implications for anti-angiogenesis therapy. J Cell Mol Med. 2021;25(6):2776–85.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  125. Wang X, et al. The updated role of exosomal proteins in the diagnosis, prognosis, and treatment of cancer. Exp Mol Med. 2022;54(9):1390–400.

    CAS  PubMed  PubMed Central  Google Scholar 

  126. Tang H, et al. HSP90/IKK-rich small extracellular vesicles activate pro-angiogenic melanoma-associated fibroblasts via the NF-κB/CXCL1 axis. Cancer Sci. 2022;113(4):1168–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  127. van den Brûle FA, et al. Alteration of the cytoplasmic/nuclear expression pattern of galectin-3 correlates with prostate carcinoma progression. Int J Cancer. 2000;89(4):361–7.

    Article  PubMed  Google Scholar 

  128. Califice S, et al. Dual activities of galectin-3 in human prostate cancer: tumor suppression of nuclear galectin-3 vs tumor promotion of cytoplasmic galectin-3. Oncogene. 2004;23(45):7527–36.

    Article  CAS  PubMed  Google Scholar 

  129. Mehul B, Hughes RC. Plasma membrane targetting, vesicular budding and release of galectin 3 from the cytoplasm of mammalian cells during secretion. J Cell Sci. 1997;110(Pt 10):1169–78.

    Article  CAS  PubMed  Google Scholar 

  130. Guo Y, et al. Effects of exosomes on pre-metastatic niche formation in tumors. Mol Cancer. 2019;18(1):39.

    Article  PubMed  PubMed Central  Google Scholar 

  131. Maji S, et al. Exosomal Annexin II Promotes Angiogenesis and Breast Cancer Metastasis. Mol Cancer Res. 2017;15(1):93–105.

    Article  CAS  PubMed  Google Scholar 

  132. Chaudhary P, et al. Serum exosomal-annexin A2 is associated with African-American triple-negative breast cancer and promotes angiogenesis. Breast Cancer Res. 2020;22(1):11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  133. Huang Z, et al. Exosomes Derived from Hypoxic Colorectal Cancer Cells Transfer Wnt4 to Normoxic Cells to Elicit a Prometastatic Phenotype. Int J Biol Sci. 2018;14(14):2094–102.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  134. Zhang W, et al. Small extracellular vesicles: from mediating cancer cell metastasis to therapeutic value in pancreatic cancer. Cell Commun Signaling. 2022;20(1):1.

    Article  Google Scholar 

  135. Shen T, et al. Pancreatic cancer-derived exosomes induce apoptosis of T lymphocytes through the p38 MAPK-mediated endoplasmic reticulum stress. FASEB J. 2020;34(6):8442–58.

    Article  CAS  PubMed  Google Scholar 

  136. Li M, et al. Pancreatic stellate cells derived exosomal miR-5703 promotes pancreatic cancer by downregulating CMTM4 and activating PI3K/Akt pathway. Cancer Lett. 2020;490:20–30.

    Article  CAS  PubMed  Google Scholar 

  137. Cao W, et al. Hypoxic pancreatic stellate cell-derived exosomal mirnas promote proliferation and invasion of pancreatic cancer through the PTEN/AKT pathway. Aging (Albany NY). 2021;13(5):7120–32.

    Article  CAS  PubMed  Google Scholar 

  138. Chiba M, et al. Exosomes released from pancreatic cancer cells enhance angiogenic activities via dynamin-dependent endocytosis in endothelial cells in vitro. Sci Rep. 2018;8(1):11972.

    Article  PubMed  PubMed Central  Google Scholar 

  139. Liu Z-L, et al. Angiogenic signaling pathways and anti-angiogenic therapy for cancer. Signal Transduct Target Ther. 2023;8(1):198.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  140. Lu R, et al. miR-338 modulates proliferation and autophagy by PI3K/AKT/mTOR signaling pathway in cervical cancer. Biomed Pharmacother. 2018;105:633–44.

    Article  CAS  PubMed  Google Scholar 

  141. Yu Y, et al. Hypoxia-induced exosomes promote hepatocellular carcinoma proliferation and metastasis via miR-1273f transfer. Exp Cell Res. 2019;385(1):111649.

    Article  CAS  PubMed  Google Scholar 

  142. Kucharzewska P, et al. Exosomes reflect the hypoxic status of glioma cells and mediate hypoxia-dependent activation of vascular cells during tumor development. Proc Natl Acad Sci. 2013;110(18):7312–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  143. Aga M, et al. Exosomal HIF1α supports invasive potential of nasopharyngeal carcinoma-associated LMP1-positive exosomes. Oncogene. 2014;33(37):4613–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  144. Ramteke A, et al. Exosomes secreted under hypoxia enhance invasiveness and stemness of prostate cancer cells by targeting adherens junction molecules. Mol Carcinog. 2015;54(7):554–65.

    Article  CAS  PubMed  Google Scholar 

  145. Rong L, et al. Immunosuppression of breast cancer cells mediated by transforming growth factor-β in exosomes from cancer cells. Oncol Lett. 2016;11(1):500–4.

    Article  CAS  PubMed  Google Scholar 

  146. Zhang X, et al. Hypoxic BMSC-derived exosomal miRNAs promote metastasis of lung cancer cells via STAT3-induced EMT. Mol Cancer. 2019;18(1):40.

    Article  PubMed  PubMed Central  Google Scholar 

  147. Deep G, et al. Exosomes secreted by prostate cancer cells under hypoxia promote matrix metalloproteinases activity at pre-metastatic niches. Mol Carcinog. 2020;59(3):323–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  148. de Jong OG, et al. Exosomes from hypoxic endothelial cells have increased collagen crosslinking activity through up-regulation of lysyl oxidase-like 2. J Cell Mol Med. 2016;20(2):342–50.

    Article  PubMed  Google Scholar 

  149. Erler JT, et al. Lysyl oxidase is essential for hypoxia-induced metastasis. Nature. 2006;440(7088):1222–6.

    Article  CAS  PubMed  Google Scholar 

  150. Li L, et al. Exosomes Derived from Hypoxic Oral Squamous Cell Carcinoma Cells Deliver miR-21 to Normoxic Cells to Elicit a Prometastatic Phenotype. Cancer Res. 2016;76(7):1770–80.

    Article  CAS  PubMed  Google Scholar 

  151. Hsu YL, et al. Hypoxic lung cancer-secreted exosomal miR-23a increased angiogenesis and vascular permeability by targeting prolyl hydroxylase and tight junction protein ZO-1. Oncogene. 2017;36(34):4929–42.

    Article  CAS  PubMed  Google Scholar 

  152. Lin J, et al. Hypoxia-induced exosomal circPDK1 promotes pancreatic cancer glycolysis via c-myc activation by modulating miR-628-3p/BPTF axis and degrading BIN1. J Hematol Oncol. 2022;15(1):128.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  153. Mezu-Ndubuisi OJ, Maheshwari A. The role of integrins in inflammation and angiogenesis. Pediatr Res. 2021;89(7):1619–26.

    Article  PubMed  Google Scholar 

  154. Valdembri D, Serini G. The roles of integrins in cancer. Fac Rev. 2021;10:45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  155. Paolillo M, Schinelli S. Integrins and Exosomes, a Dangerous Liaison in Cancer Progression. Cancers. 2017;9(8):95.

    Article  PubMed  PubMed Central  Google Scholar 

  156. Tian W, Liu S, Li B. Potential Role of Exosomes in Cancer Metastasis. Biomed Res Int. 2019;2019(1):4649705.

    PubMed  PubMed Central  Google Scholar 

  157. Costa-Silva B, et al. Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver. Nat Cell Biol. 2015;17(6):816–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  158. Pickarski M, et al. Orally active αvβ3 integrin inhibitor MK-0429 reduces melanoma metastasis. Oncol Rep. 2015;33(6):2737–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  159. Huang R, Rofstad EK. Integrins as therapeutic targets in the organ-specific metastasis of human malignant melanoma. J Exp Clin Cancer Res. 2018;37(1):92.

    Article  PubMed  PubMed Central  Google Scholar 

  160. Mitra AK, et al. Ligand-independent activation of c-Met by fibronectin and α5β1-integrin regulates ovarian cancer invasion and metastasis. Oncogene. 2011;30(13):1566–76.

    Article  CAS  PubMed  Google Scholar 

  161. Bartolomé RA, et al. VE-cadherin RGD motifs promote metastasis and constitute a potential therapeutic target in melanoma and breast cancers. Oncotarget. 2016;8(1):215–27.

    Article  PubMed Central  Google Scholar 

  162. Giusti I, Dolo V. Extracellular Vesicles in Prostate Cancer: New Future Clinical Strategies? Biomed Res Int. 2014;2014(1):561571.

    PubMed  PubMed Central  Google Scholar 

  163. Babiker AA, et al. Overexpression of ecto-protein kinases in prostasomes of metastatic cell origin. Prostate. 2006;66(7):675–86.

    Article  CAS  PubMed  Google Scholar 

  164. Babiker AA, et al. Transfer of functional prostasomal CD59 of metastatic prostatic cancer cell origin protects cells against complement attack. Prostate. 2005;62(2):105–14.

    Article  CAS  PubMed  Google Scholar 

  165. Zhang W, et al. The role of extracellular vesicle immune checkpoints in cancer. Clin Exp Immunol. 2024;216(3):230–9.

    Article  PubMed  Google Scholar 

  166. Li Q, et al. Tumor-Derived Extracellular Vesicles: Their Role in Immune Cells and Immunotherapy. Int J Nanomedicine. 2021;16:5395–409.

    Article  PubMed  PubMed Central  Google Scholar 

  167. Huntington ND, Cursons J, Rautela J. The cancer–natural killer cell immunity cycle. Nat Rev Cancer. 2020;20(8):437–54.

    Article  CAS  PubMed  Google Scholar 

  168. Zhao J, et al. Tumor-Derived Extracellular Vesicles Inhibit Natural Killer Cell Function in Pancreatic Cancer. Cancers. 2019;11(6):874.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  169. Moloudizargari M, et al. Long-chain polyunsaturated omega-3 fatty acids reduce multiple myeloma exosome-mediated suppression of NK cell cytotoxicity. Daru. 2020;28(2):647–59.

    Article  PubMed  PubMed Central  Google Scholar 

  170. Lazarova M, Steinle A. Impairment of NKG2D-Mediated Tumor Immunity by TGF-β. Front Immunol. 2019;10:2689.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  171. Rouce RH, et al. The TGF-β/SMAD pathway is an important mechanism for NK cell immune evasion in childhood B-acute lymphoblastic leukemia. Leukemia. 2016;30(4):800–11.

    Article  CAS  PubMed  Google Scholar 

  172. Szczepanski MJ, et al. Blast-derived microvesicles in sera from patients with acute myeloid leukemia suppress natural killer cell function via membrane-associated transforming growth factor-beta1. Haematologica. 2011;96(9):1302–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  173. Clayton A, et al. Human tumor-derived exosomes down-modulate NKG2D expression. J Immunol. 2008;180(11):7249–58.

    Article  CAS  PubMed  Google Scholar 

  174. Liu C, et al. Murine mammary carcinoma exosomes promote tumor growth by suppression of NK cell function. J Immunol. 2006;176(3):1375–85.

    Article  CAS  PubMed  Google Scholar 

  175. Chen J-H, et al. Cholangiocarcinoma-derived exosomes inhibit the antitumor activity of cytokine-induced killer cells by down-regulating the secretion of tumor necrosis factor-α and perforin. J Zhejiang Univ-SCIENCE B. 2016;17(7):537–44.

    Article  CAS  Google Scholar 

  176. Angiari S, et al. Regulation of T cell activation and pathogenicity by dimeric pyruvate kinase M2 (PKM2). J Immunol. 2019;202(1_Supplement):125.11-125.11.

    Article  Google Scholar 

  177. Czystowska-Kuzmicz M, et al. Small extracellular vesicles containing arginase-1 suppress T-cell responses and promote tumor growth in ovarian carcinoma. Nat Commun. 2019;10(1):3000.

    Article  PubMed  PubMed Central  Google Scholar 

  178. Chang CH, et al. Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression. Cell. 2015;162(6):1229–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  179. Ho PC, et al. Phosphoenolpyruvate Is a Metabolic Checkpoint of Anti-tumor T Cell Responses. Cell. 2015;162(6):1217–28.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  180. Clayton A, et al. Cancer exosomes express CD39 and CD73, which suppress T cells through adenosine production. J Immunol. 2011;187(2):676–83.

    Article  CAS  PubMed  Google Scholar 

  181. Burnstock G, Di Virgilio F. Purinergic signalling and cancer. Purinergic Signal. 2013;9(4):491–540.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  182. Ohta A, Sitkovsky M. Extracellular adenosine-mediated modulation of regulatory T cells. Front Immunol. 2014;5:304.

    Article  PubMed  PubMed Central  Google Scholar 

  183. Chennakrishnaiah S, et al. Leukocytes as a reservoir of circulating oncogenic DNA and regulatory targets of tumor-derived extracellular vesicles. J Thromb Haemost. 2018;16(9):1800–13.

    Article  CAS  PubMed  Google Scholar 

  184. Ye S-B, et al. Exosomal miR-24-3p impedes T-cell function by targeting and serves as a potential prognostic biomarker for nasopharyngeal carcinoma. J Pathol. 2016;240(3):329–40.

    Article  CAS  PubMed  Google Scholar 

  185. Zhou J, et al. Exosomes Released from Tumor-Associated Macrophages Transfer miRNAs That Induce a Treg/Th17 Cell Imbalance in Epithelial Ovarian Cancer. Cancer Immunol Res. 2018;6(12):1578–92.

    Article  CAS  PubMed  Google Scholar 

  186. Ye S-B, et al. Tumor-derived exosomes promote tumor progression and T-cell dysfunction through the regulation of enriched exosomal microRNAs in human nasopharyngeal carcinoma. Oncotarget. 2014;5(14):5439–52.

    Article  PubMed  PubMed Central  Google Scholar 

  187. Daassi D, Mahoney KM, Freeman GJ. The importance of exosomal PDL1 in tumour immune evasion. Nat Rev Immunol. 2020;20(4):209–15.

    Article  CAS  PubMed  Google Scholar 

  188. Abusamra AJ, et al. Tumor exosomes expressing Fas ligand mediate CD8+ T-cell apoptosis. Blood Cells Mol Dis. 2005;35(2):169–73.

    Article  CAS  PubMed  Google Scholar 

  189. Clayton A, et al. Human tumor-derived exosomes selectively impair lymphocyte responses to interleukin-2. Cancer Res. 2007;67(15):7458–66.

    Article  CAS  PubMed  Google Scholar 

  190. McLane LM, Abdel-Hakeem MS, Wherry EJ. CD8 T Cell Exhaustion During Chronic Viral Infection and Cancer. Annu Rev Immunol. 2019;37:457–95.

    Article  CAS  PubMed  Google Scholar 

  191. Baitsch L, et al. Exhaustion of tumor-specific CD8⁺ T cells in metastases from melanoma patients. J Clin Invest. 2011;121(6):2350–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  192. Wherry EJ. T cell exhaustion. Nat Immunol. 2011;12(6):492–9.

    Article  CAS  PubMed  Google Scholar 

  193. Yin C, et al. SALL4-mediated upregulation of exosomal miR-146a-5p drives T-cell exhaustion by M2 tumor-associated macrophages in HCC. OncoImmunology. 2019;8(7):e1601479.

    Article  Google Scholar 

  194. Wang X, et al. 14-3-3ζ delivered by hepatocellular carcinoma-derived exosomes impaired anti-tumor function of tumor-infiltrating T lymphocytes. Cell Death Dis. 2018;9(2):159.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  195. Wang J, et al. circRNA-002178 act as a ceRNA to promote PDL1/PD1 expression in lung adenocarcinoma. Cell Death Dis. 2020;11(1):32.

    Article  PubMed  PubMed Central  Google Scholar 

  196. Wieckowski EU, et al. Tumor-derived microvesicles promote regulatory T cell expansion and induce apoptosis in tumor-reactive activated CD8+ T lymphocytes. J Immunol. 2009;183(6):3720–30.

    Article  CAS  PubMed  Google Scholar 

  197. Groth C, et al. Immunosuppression mediated by myeloid-derived suppressor cells (MDSCs) during tumour progression. Br J Cancer. 2019;120(1):16–25.

    Article  CAS  PubMed  Google Scholar 

  198. Veglia F, Perego M, Gabrilovich D. Myeloid-derived suppressor cells coming of age. Nat Immunol. 2018;19(2):108–19.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  199. Tian X, et al. Long Non-Coding RNA HOXA Transcript Antisense RNA Myeloid-Specific 1-HOXA1 Axis Downregulates the Immunosuppressive Activity of Myeloid-Derived Suppressor Cells in Lung Cancer. Front Immunol. 2018;9:473.

    Article  PubMed  PubMed Central  Google Scholar 

  200. Tian X, et al. Long non-coding RNA RUNXOR accelerates MDSC-mediated immunosuppression in lung cancer. BMC Cancer. 2018;18(1):660.

    Article  PubMed  PubMed Central  Google Scholar 

  201. Wang J, et al. The bone marrow microenvironment enhances multiple myeloma progression by exosome-mediated activation of myeloid-derived suppressor cells. Oncotarget. 2015;6(41):43992–4004.

    Article  PubMed  PubMed Central  Google Scholar 

  202. Valenti R, et al. Human tumor-released microvesicles promote the differentiation of myeloid cells with transforming growth factor-beta-mediated suppressive activity on T lymphocytes. Cancer Res. 2006;66(18):9290–8.

    Article  CAS  PubMed  Google Scholar 

  203. Yu X, et al. Neutrophils in cancer: dual roles through intercellular interactions. Oncogene. 2024;43(16):1163–77.

    CAS  PubMed  Google Scholar 

  204. Zhang X, et al. Tumor-derived exosomes induce N2 polarization of neutrophils to promote gastric cancer cell migration. Mol Cancer. 2018;17(1):146.

    Article  PubMed  PubMed Central  Google Scholar 

  205. Su X, et al. Tumour extracellular vesicles induce neutrophil extracellular traps to promote lymph node metastasis. J Extracell Vesicles. 2023;12(8):e12341.

    Article  PubMed  Google Scholar 

  206. Théry C, Amigorena S. The cell biology of antigen presentation in dendritic cells. Curr Opin Immunol. 2001;13(1):45–51.

    Article  PubMed  Google Scholar 

  207. Wculek SK, et al. Dendritic cells in cancer immunology and immunotherapy. Nat Rev Immunol. 2020;20(1):7–24.

    Article  CAS  PubMed  Google Scholar 

  208. Almand B, et al. Clinical significance of defective dendritic cell differentiation in cancer. Clin Cancer Res. 2000;6(5):1755–66.

    CAS  PubMed  Google Scholar 

  209. Yu S, et al. Tumor exosomes inhibit differentiation of bone marrow dendritic cells. J Immunol. 2007;178(11):6867–75.

    Article  CAS  PubMed  Google Scholar 

  210. Grange C, et al. Role of HLA-G and extracellular vesicles in renal cancer stem cell-induced inhibition of dendritic cell differentiation. BMC Cancer. 2015;15(1):1009.

    Article  PubMed  PubMed Central  Google Scholar 

  211. Banas R, et al. Amnion-Derived Multipotent Progenitor Cells Inhibit Blood Monocyte Differentiation into Mature Dendritic Cells. Cell Transplant. 2014;23(9):1111–25.

    Article  PubMed  Google Scholar 

  212. Hargadon KM. Tumor-Altered Dendritic Cell Function: Implications for Anti-Tumor Immunity. Front Immunol. 2013;4:192.

    Article  PubMed  PubMed Central  Google Scholar 

  213. Sombroek CC, et al. Prostanoids play a major role in the primary tumor-induced inhibition of dendritic cell differentiation. J Immunol. 2002;168(9):4333–43.

    Article  CAS  PubMed  Google Scholar 

  214. Salimu J, et al. Dominant immunosuppression of dendritic cell function by prostate-cancer-derived exosomes. J Extracell Vesicles. 2017;6(1):1368823.

    Article  PubMed  PubMed Central  Google Scholar 

  215. Kim J, et al. Cyclooxygenase-2 expression is induced by celecoxib treatment in lung cancer cells and is transferred to neighbor cells via exosomes. Int J Oncol. 2018;52(2):613–20.

    CAS  PubMed  Google Scholar 

  216. Mignot G, et al. Tumor exosome-mediated MDSC activation. Am J Pathol. 2011;178(3):1403–4 (author reply 1404-5).

    Article  PubMed  PubMed Central  Google Scholar 

  217. Vasaturo A, et al. Clinical Implications of Co-Inhibitory Molecule Expression in the Tumor Microenvironment for DC Vaccination: A Game of Stop and Go. Front Immunol. 2013;4:417.

    Article  PubMed  PubMed Central  Google Scholar 

  218. Gao J, et al. Expression profiles and clinical value of plasma exosomal Tim-3 and Galectin-9 in non-small cell lung cancer. Biochem Biophys Res Commun. 2018;498(3):409–15.

    Article  CAS  PubMed  Google Scholar 

  219. Wang M, et al. Exosomal LGALS9 in the cerebrospinal fluid of glioblastoma patients suppressed dendritic cell antigen presentation and cytotoxic T-cell immunity. Cell Death Dis. 2020;11(10):896.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  220. Maus RLG, et al. Human Melanoma-Derived Extracellular Vesicles Regulate Dendritic Cell Maturation. Front Immunol. 2017;8:358.

    Article  PubMed  PubMed Central  Google Scholar 

  221. Willingham SB, et al. The CD47-signal regulatory protein alpha (SIRPa) interaction is a therapeutic target for human solid tumors. Proc Natl Acad Sci. 2012;109(17):6662–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  222. Chauhan S, et al. Surface Glycoproteins of Exosomes Shed by Myeloid-Derived Suppressor Cells Contribute to Function. J Proteome Res. 2017;16(1):238–46.

    Article  CAS  PubMed  Google Scholar 

  223. O’Reilly C, et al. Targeting MIF in Cancer: Therapeutic Strategies, Current Developments, and Future Opportunities. Med Res Rev. 2016;36(3):440–60.

    Article  CAS  PubMed  Google Scholar 

  224. Wu H, et al. Tumor-associated macrophages promote angiogenesis and lymphangiogenesis of gastric cancer. J Surg Oncol. 2012;106(4):462–8.

    Article  CAS  PubMed  Google Scholar 

  225. Tamura R, et al. Dual Role of Macrophage in Tumor Immunity. Immunotherapy. 2018;10(10):899–909.

    Article  CAS  PubMed  Google Scholar 

  226. Kim H, et al. Exosome-Guided Phenotypic Switch of M1 to M2 Macrophages for Cutaneous Wound Healing. Adv Sci. 2019;6(20):1900513.

    Article  CAS  Google Scholar 

  227. Li B, et al. Tumor-derived exosomal HMGB1 promotes esophageal squamous cell carcinoma progression through inducing PD1+ TAM expansion. Oncogenesis. 2019;8(3):17.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  228. Nahand JS, et al. Exosomal MicroRNAs: Novel Players in Cervical Cancer. Epigenomics. 2020;12(18):1651–60.

    Article  CAS  PubMed  Google Scholar 

  229. Pritchard A, et al. Lung Tumor Cell-Derived Exosomes Promote M2 Macrophage Polarization. Cells. 2020;9(5):1303.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  230. Lu Q, et al. Hypoxic Tumor-Derived Exosomal Circ0048117 Facilitates M2 Macrophage Polarization Acting as miR-140 Sponge in Esophageal Squamous Cell Carcinoma. Onco Targets Ther. 2020;13:11883–97.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  231. Dhanyamraju PK. Drug resistance mechanisms in cancers: Execution of pro-survival strategies. J Biomed Res. 2024;38(2):95–121.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  232. Lee S, et al. Mesenchymal stem cell-derived exosomes suppress proliferation of T cells by inducing cell cycle arrest through p27kip1/Cdk2 signaling. Immunol Lett. 2020;225:16–22.

    Article  CAS  PubMed  Google Scholar 

  233. Wang M, et al. Lymph node metastasis-derived gastric cancer cells educate bone marrow-derived mesenchymal stem cells via YAP signaling activation by exosomal Wnt5a. Oncogene. 2021;40(12):2296–308.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  234. Zhou J, et al. Mesenchymal Stem Cell Derived Exosomes in Cancer Progression, Metastasis and Drug Delivery: A Comprehensive Review. J Cancer. 2018;9(17):3129–37.

    Article  PubMed  PubMed Central  Google Scholar 

  235. Li C, et al. Effects of Michigan Cancer Foundation-7/A New Adriamycin Cell-Derived Exosomes on MCF-7 Cell Apoptosis and Drug Sensitivity Through Ubiquitin Carboxyl-Terminal Hydrolase L1. J Biomater Tissue Eng. 2020;10:1780–5.

    Article  Google Scholar 

  236. Dong C, et al. Hypoxic non-small-cell lung cancer cell-derived exosomal miR-21 promotes resistance of normoxic cell to cisplatin. Onco Targets Ther. 2019;12:1947–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  237. Yue X, Lan F, Xia T. Hypoxic Glioma Cell-Secreted Exosomal miR-301a Activates Wnt/β-catenin Signaling and Promotes Radiation Resistance by Targeting TCEAL7. Mol Ther. 2019;27(11):1939–49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  238. Abe T, Barber GN. Cytosolic-DNA-Mediated, STING-Dependent Proinflammatory Gene Induction Necessitates Canonical NF-κB Activation through TBK1. J Virol. 2014;88(10):5328–41.

    Article  PubMed  PubMed Central  Google Scholar 

  239. Takahashi A, et al. Exosomes maintain cellular homeostasis by excreting harmful DNA from cells. Nat Commun. 2017;8(1):15287.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  240. Ma Y, et al. Recent advances in critical nodes of embryo engineering technology. Theranostics. 2021;11(15):7391–424.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  241. Yim KHW, et al. Extracellular Vesicles Orchestrate Immune and Tumor Interaction Networks. Cancers. 2020;12(12):3696.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  242. Sansone P, et al. Packaging and transfer of mitochondrial DNA via exosomes regulate escape from dormancy in hormonal therapy-resistant breast cancer. Proc Natl Acad Sci. 2017;114(43):E9066–75.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  243. Tripisciano C, et al. Extracellular Vesicles Derived From Platelets, Red Blood Cells, and Monocyte-Like Cells Differ Regarding Their Ability to Induce Factor XII-Dependent Thrombin Generation. Front Cell Dev Biol. 2020;8:298.

    Article  PubMed  PubMed Central  Google Scholar 

  244. Clayton A, et al. Considerations towards a roadmap for collection, handling and storage of blood extracellular vesicles. J Extracell Vesicles. 2019;8(1):1647027.

    Article  PubMed  PubMed Central  Google Scholar 

  245. Karimi N, et al. Detailed analysis of the plasma extracellular vesicle proteome after separation from lipoproteins. Cell Mol Life Sci. 2018;75(15):2873–86.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  246. Erdbrügger U, et al. Urinary extracellular vesicles: A position paper by the Urine Task Force of the International Society for Extracellular Vesicles. J Extracell Vesicles. 2021;10(7):e12093.

    Article  PubMed  PubMed Central  Google Scholar 

  247. Xiao F, et al. Cerebrospinal fluid biomarkers for brain tumor detection: clinical roles and current progress. Am J Transl Res. 2020;12(4):1379–96.

    CAS  PubMed  PubMed Central  Google Scholar 

  248. Inubushi S, et al. Oncogenic miRNAs Identified in Tear Exosomes From Metastatic Breast Cancer Patients. Anticancer Res. 2020;40(6):3091.

    Article  PubMed  Google Scholar 

  249. Liangsupree T, Multia E, Riekkola ML. Modern isolation and separation techniques for extracellular vesicles. J Chromatogr A. 2021;1636:461773.

    Article  CAS  PubMed  Google Scholar 

  250. Van Deun J, et al. The impact of disparate isolation methods for extracellular vesicles on downstream RNA profiling. J Extracell Vesicles. 2014;3(1).

  251. Macías M, et al. Comparison of six commercial serum exosome isolation methods suitable for clinical laboratories Effect in cytokine analysis. Clin Chem Lab Med. 2019;57(10):1539–45.

    Article  PubMed  Google Scholar 

  252. Coumans FAW, et al. Methodological Guidelines to Study Extracellular Vesicles. Circ Res. 2017;120(10):1632–48.

    Article  CAS  PubMed  Google Scholar 

  253. Cheruvanky A, et al. Rapid isolation of urinary exosomal biomarkers using a nanomembrane ultrafiltration concentrator. Am J Physiol-Renal Physiol. 2007;292(5):F1657–61.

    Article  CAS  PubMed  Google Scholar 

  254. Guo SC, Tao SC, Dawn H. Microfluidics-based on-a-chip systems for isolating and analysing extracellular vesicles. J Extracell Vesicles. 2018;7(1):1508271.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  255. Morales-Kastresana A, et al. High-fidelity detection and sorting of nanoscale vesicles in viral disease and cancer. J Extracell Vesicles. 2019;8(1):1597603.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  256. Allenson K, et al. High prevalence of mutant KRAS in circulating exosome-derived DNA from early-stage pancreatic cancer patients. Ann Oncol. 2017;28(4):741–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  257. Melo SA, et al. Glypican-1 identifies cancer exosomes and detects early pancreatic cancer. Nature. 2015;523(7559):177–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  258. Li J, et al. GPC1 exosome and its regulatory miRNAs are specific markers for the detection and target therapy of colorectal cancer. J Cell Mol Med. 2017;21(5):838–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  259. Castellanos-Rizaldos E, et al. Exosome-Based Detection of EGFR T790M in Plasma from Non-Small Cell Lung Cancer Patients. Clin Cancer Res. 2018;24(12):2944–50.

    Article  CAS  PubMed  Google Scholar 

  260. Chen I-H, et al. Phosphoproteins in extracellular vesicles as candidate markers for breast cancer. Proc Natl Acad Sci. 2017;114(12):3175–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  261. Zhang P, Zhou X, Zeng Y. Multiplexed immunophenotyping of circulating exosomes on nano-engineered ExoProfile chip towards early diagnosis of cancer. Chem Sci. 2019;10(21):5495–504.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  262. Lai H, et al. Protein Panel of Serum-Derived Small Extracellular Vesicles for the Screening and Diagnosis of Epithelial Ovarian Cancer. Cancers (Basel). 2022;14(15):3719.

    Article  CAS  PubMed  Google Scholar 

  263. Turaga SM, et al. Identification of small extracellular vesicle protein biomarkers for pediatric Ewing Sarcoma. Front Mol Bioscie. 2023:10.

  264. Matsuzaki K, et al. MiR-21–5p in urinary extracellular vesicles is a novel biomarker of urothelial carcinoma. Oncotarget. 2017;8(15):24668–78.

    Article  PubMed  PubMed Central  Google Scholar 

  265. Armstrong DA, et al. MicroRNA molecular profiling from matched tumor and bio-fluids in bladder cancer. Mol Cancer. 2015;14(1):194.

    Article  PubMed  PubMed Central  Google Scholar 

  266. Keklikoglou I, et al. Chemotherapy elicits pro-metastatic extracellular vesicles in breast cancer models. Nat Cell Biol. 2019;21(2):190–202.

    Article  CAS  PubMed  Google Scholar 

  267. Tiedemann K, et al. Exosomal Release of L-Plastin by Breast Cancer Cells Facilitates Metastatic Bone Osteolysis. Transl Oncol. 2019;12(3):462–74.

    Article  PubMed  Google Scholar 

  268. Zeng Z, et al. Cancer-derived exosomal miR-25-3p promotes pre-metastatic niche formation by inducing vascular permeability and angiogenesis. Nat Commun. 2018;9(1):5395.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  269. Meltzer S, et al. Circulating Exosomal miR-141-3p and miR-375 in Metastatic Progression of Rectal Cancer. Transl Oncol. 2019;12(8):1038–44.

    Article  PubMed  PubMed Central  Google Scholar 

  270. Fu F, et al. Circulating Exosomal miR-17-5p and miR-92a-3p Predict Pathologic Stage and Grade of Colorectal Cancer. Transl Oncol. 2018;11(2):221–32.

    Article  PubMed  PubMed Central  Google Scholar 

  271. Franz C, et al. Protective effect of miR-18a in resected liver metastases of colorectal cancer and FOLFOX treatment. Cancer Rep (Hoboken). 2023;6(12):e1899.

    Article  CAS  PubMed  Google Scholar 

  272. Peng Z-Y, Gu R-H, Yan B. Downregulation of exosome-encapsulated miR-548c-5p is associated with poor prognosis in colorectal cancer. J Cell Biochem. 2019;120(2):1457–63.

    Article  CAS  PubMed  Google Scholar 

  273. Shao Y, et al. Colorectal cancer-derived small extracellular vesicles establish an inflammatory premetastatic niche in liver metastasis. Carcinogenesis. 2018;39(11):1368–79.

    Article  CAS  PubMed  Google Scholar 

  274. Bijnsdorp IV, et al. Exosomal ITGA3 interferes with non-cancerous prostate cell functions and is increased in urine exosomes of metastatic prostate cancer patients. J Extracell Vesicles. 2013;2(0):S11.

  275. Stecklein SR, et al. Extracellular vesicle-derived non-coding RNAs to predict outcome in patients with triple-negative breast cancer (TNBC) with residual disease (RD). J Clin Oncol. 2023;41(16_suppl):578–578.

    Article  Google Scholar 

  276. Morini M, et al. Exosomal microRNAs from longitudinal liquid biopsies for the prediction of response to induction chemotherapy in high-risk neuroblastoma patients: A proof of concept SIOPEN study. Cancers (Basel). 2019;11(10):1476.

  277. Yuwen D, et al. Prognostic Role of Circulating Exosomal miR-425-3p for the Response of NSCLC to Platinum-Based Chemotherapy. Cancer Epidemiol Biomarkers Prev. 2019;28(1):163–73.

    Article  CAS  PubMed  Google Scholar 

  278. Atay S, et al. Insights into the Proteome of Gastrointestinal Stromal Tumors-Derived Exosomes Reveals New Potential Diagnostic Biomarkers. Mol Cell Proteomics. 2018;17(3):495–515.

    Article  CAS  PubMed  Google Scholar 

  279. Li M, et al. WJMSC-derived small extracellular vesicle enhance T cell suppression through PD-L1. J Extracell Vesicles. 2021;10(4):e12067.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  280. Chen G, et al. Exosomal PD-L1 contributes to immunosuppression and is associated with anti-PD-1 response. Nature. 2018;560(7718):382–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  281. Porcelli L, et al. uPAR<sup>+</sup> extracellular vesicles: a robust biomarker of resistance to checkpoint inhibitor immunotherapy in metastatic melanoma patients. J Immunother Cancer. 2021;9(5):e002372.

    Article  PubMed  PubMed Central  Google Scholar 

  282. Herrmann IK, Wood MJA, Fuhrmann G. Extracellular vesicles as a next-generation drug delivery platform. Nat Nanotechnol. 2021;16(7):748–59.

    Article  CAS  PubMed  Google Scholar 

  283. Lener T, et al. Applying extracellular vesicles based therapeutics in clinical trials - an ISEV position paper. J Extracell Vesicles. 2015;4:30087.

    Article  PubMed  Google Scholar 

  284. Dai J, et al. Exosomes: key players in cancer and potential therapeutic strategy. Signal Transduct Target Ther. 2020;5(1):145.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  285. Fujita M, et al. The urgent need for clear and concise regulations on exosome-based interventions. Stem Cell Reports. 2024;19(11):1517–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  286. Gimona M, et al. Critical considerations for the development of potency tests for therapeutic applications of mesenchymal stromal cell-derived small extracellular vesicles. Cytotherapy. 2021;23(5):373–80.

    Article  CAS  PubMed  Google Scholar 

  287. Silva AKA, et al. Development of extracellular vesicle-based medicinal products: A position paper of the group “Extracellular Vesicle translatiOn to clinicaL perspectiVEs - EVOLVE France.” Adv Drug Deliv Rev. 2021;179:114001.

    Article  CAS  PubMed  Google Scholar 

  288. Beetler DJ, et al. The evolving regulatory landscape in regenerative medicine. Mol Aspects Med. 2023;91:101138.

    Article  CAS  PubMed  Google Scholar 

  289. Wiklander OPB, et al. Extracellular vesicle in vivo biodistribution is determined by cell source, route of administration and targeting. J Extracell Vesicles. 2015;4(1):26316.

    Article  PubMed  Google Scholar 

  290. Lai CP, et al. Dynamic Biodistribution of Extracellular Vesicles in Vivo Using a Multimodal Imaging Reporter. ACS Nano. 2014;8(1):483–94.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  291. Kooijmans SAA, et al. PEGylated and targeted extracellular vesicles display enhanced cell specificity and circulation time. J Control Release. 2016;224:77–85.

    Article  CAS  PubMed  Google Scholar 

  292. McVey MJ, et al. Platelet extracellular vesicles mediate transfusion-related acute lung injury by imbalancing the sphingolipid rheostat. Blood. 2021;137(5):690–701.

    Article  CAS  PubMed  Google Scholar 

  293. Zhu X, et al. Comprehensive toxicity and immunogenicity studies reveal minimal effects in mice following sustained dosing of extracellular vesicles derived from HEK293T cells. J Extracell Vesicles. 2017;6(1):1324730.

    Article  PubMed  PubMed Central  Google Scholar 

  294. de Abreu RC, et al. Native and bioengineered extracellular vesicles for cardiovascular therapeutics. Nat Rev Cardiol. 2020;17(11):685–97.

    Article  PubMed  PubMed Central  Google Scholar 

  295. Escudier B, et al. Vaccination of metastatic melanoma patients with autologous dendritic cell (DC) derived-exosomes: results of thefirst phase I clinical trial. J Transl Med. 2005;3(1):10.

    Article  PubMed  PubMed Central  Google Scholar 

  296. Van Delen M, et al. A systematic review and meta-analysis of clinical trials assessing safety and efficacy of human extracellular vesicle-based therapy. J Extracell Vesicles. 2024;13(7):e12458.

    Article  PubMed  PubMed Central  Google Scholar 

  297. Fusco C, et al. Extracellular vesicles as human therapeutics: A scoping review of the literature. J Extracell Vesicles. 2024;13(5):e12433.

    Article  PubMed  PubMed Central  Google Scholar 

  298. Jung I, et al. Modification of immune cell-derived exosomes for enhanced cancer immunotherapy: current advances and therapeutic applications. Exp Mol Med. 2024;56(1):19–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  299. Wang C-K, Tsai T-H, Lee C-H. Regulation of exosomes as biologic medicines: Regulatory challenges faced in exosome development and manufacturing processes. Clin Transl Sci. 2024;17(8):e13904.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  300. Weng Z, et al. Therapeutic roles of mesenchymal stem cell-derived extracellular vesicles in cancer. J Hematol Oncol. 2021;14(1):136.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  301. Tan F, et al. Clinical applications of stem cell-derived exosomes. Signal Transduct Target Ther. 2024;9(1):17.

    Article  PubMed  PubMed Central  Google Scholar 

  302. Chen Y-F, et al. Exosomes: a review of biologic function, diagnostic and targeted therapy applications, and clinical trials. J Biomed Sci. 2024;31(1):67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  303. Lin H, et al. Therapeutic potential of extracellular vesicles from diverse sources in cancer treatment. Eur J Med Res. 2024;29(1):350.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  304. Li J, Wang J, Chen Z. Emerging role of exosomes in cancer therapy: progress and challenges. Mol Cancer. 2025;24(1):13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  305. Kim SM, et al. Cancer-derived exosomes as a delivery platform of CRISPR/Cas9 confer cancer cell tropism-dependent targeting. J Control Release. 2017;266:8–16.

    Article  CAS  PubMed  Google Scholar 

  306. McAndrews KM, et al. Exosome-mediated delivery of CRISPR/Cas9 for targeting of oncogenic Kras(G12D) in pancreatic cancer. Life Sci Alliance. 2021;4(9):e202000875.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  307. Usman WM, et al. Efficient RNA drug delivery using red blood cell extracellular vesicles. Nat Commun. 2018;9(1):2359.

    Article  PubMed  PubMed Central  Google Scholar 

  308. Li Z, et al. In Vitro and in Vivo RNA Inhibition by CD9-HuR Functionalized Exosomes Encapsulated with miRNA or CRISPR/dCas9. Nano Lett. 2019;19(1):19–28.

    Article  CAS  PubMed  Google Scholar 

  309. Liu W, et al. Applications and challenges of CRISPR-Cas gene-editing to disease treatment in clinics. Precis Clin Med. 2021;4(3):179–91.

    Article  PubMed  PubMed Central  Google Scholar 

  310. Behr M, et al. In vivo delivery of CRISPR-Cas9 therapeutics: Progress and challenges. Acta Pharm Sin B. 2021;11(8):2150–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  311. Fan X, et al. A comprehensive review of engineered exosomes from the preparation strategy to therapeutic applications. Biomater Sci. 2024;12(14):3500–21.

    Article  CAS  PubMed  Google Scholar 

  312. Dooley K, et al. A versatile platform for generating engineered extracellular vesicles with defined therapeutic properties. Mol Ther. 2021;29(5):1729–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  313. Lu Y, et al. CRISPR-Cas9 delivery strategies with engineered extracellular vesicles. Mol Ther Nucleic Acids. 2023;34:102040.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  314. Xu Q, et al. Tropism-facilitated delivery of CRISPR/Cas9 system with chimeric antigen receptor-extracellular vesicles against B-cell malignancies. J Control Release. 2020;326:455–67.

    Article  CAS  PubMed  Google Scholar 

  315. Noh S, et al. Exploring Membrane-tethering Technology for Proteins as a Versatile Tool for Uncovering Novel Disease Targets and Advancing Biotherapeutic Development. Isr J Chem. 2023;63(10–11):e202300046.

    Article  CAS  Google Scholar 

  316. Besse B, et al. Dendritic cell-derived exosomes as maintenance immunotherapy after first line chemotherapy in NSCLC. OncoImmunology. 2016;5(4):e1071008.

    Article  PubMed  Google Scholar 

  317. Cheng L, Wang Y, Huang L. Exosomes from M1-Polarized Macrophages Potentiate the Cancer Vaccine by Creating a Pro-inflammatory Microenvironment in the Lymph Node. Mol Ther. 2017;25(7):1665–75.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  318. Enomoto Y, et al. Cytokine-enhanced cytolytic activity of exosomes from NK Cells. Cancer Gene Ther. 2022;29(6):734–49.

    Article  CAS  PubMed  Google Scholar 

  319. Zhou J, et al. miR-224-5p-enriched exosomes promote tumorigenesis by directly targeting androgen receptor in non-small cell lung cancer. Mol Ther Nucleic Acids. 2021;23:1217–28.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  320. Kaban K, et al. Therapeutic Silencing of BCL-2 Using NK Cell-Derived Exosomes as a Novel Therapeutic Approach in Breast Cancer. Cancers (Basel). 2021;13(10):2397.

    Article  CAS  PubMed  Google Scholar 

  321. Lv Q, et al. Thermosensitive Exosome-Liposome Hybrid Nanoparticle-Mediated Chemoimmunotherapy for Improved Treatment of Metastatic Peritoneal Cancer. Advanced Science. 2020;7(18):2000515.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  322. Hiltbrunner S, et al. Exosomal cancer immunotherapy is independent of MHC molecules on exosomes. Oncotarget. 2016;7(25):38707–17.

    Article  PubMed  PubMed Central  Google Scholar 

  323. Xu Z, et al. Exosome-based immunotherapy: a promising approach for cancer treatment. Mol Cancer. 2020;19(1):160.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  324. André F, et al. Exosomes as potent cell-free peptide-based vaccine. I. Dendritic cell-derived exosomes transfer functional MHC class I/peptide complexes to dendritic cells. J Immunol. 2004;172(4):2126–36.

    Article  PubMed  Google Scholar 

  325. Zitvogel L, et al. Eradication of established murine tumors using a novel cell-free vaccine: dendritic cell derived exosomes. Nat Med. 1998;4(5):594–600.

    Article  CAS  PubMed  Google Scholar 

  326. Näslund TI, et al. Dendritic cell-derived exosomes need to activate both T and B cells to induce antitumor immunity. J Immunol. 2013;190(6):2712–9.

    Article  PubMed  Google Scholar 

  327. Segura E, et al. ICAM-1 on exosomes from mature dendritic cells is critical for efficient naive T-cell priming. Blood. 2005;106(1):216–23.

    Article  CAS  PubMed  Google Scholar 

  328. Villata S, Canta M, Cauda V. EVs and Bioengineering: From Cellular Products to Engineered Nanomachines. Int J Mol Sci. 2020;21(17):6048.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  329. Kučuk N, et al. Exosomes Engineering and Their Roles as Therapy Delivery Tools, Therapeutic Targets, and Biomarkers. Int J Mol Sci. 2021;22(17):9543.

    Article  PubMed  PubMed Central  Google Scholar 

  330. Gutierrez-Millan C, et al. Advances in Exosomes-Based Drug Delivery Systems. Macromol Biosci. 2021;21(1):2000269.

    Article  CAS  Google Scholar 

  331. Zhang M, et al. Engineered exosomes from different sources for cancer-targeted therapy. Signal Transduct Target Ther. 2023;8(1):124.

    Article  PubMed  PubMed Central  Google Scholar 

  332. Li M, et al. Horizontal transfer of exosomal CXCR4 promotes murine hepatocarcinoma cell migration, invasion and lymphangiogenesis. Gene. 2018;676:101–9.

    Article  CAS  PubMed  Google Scholar 

  333. Zhang F, et al. CXCR4-containing exosomes derived from cancer associated fibroblasts promote epithelial mesenchymal transition in ovarian clear cell carcinoma. Open Med J. 2022;9:e187422032211040.

  334. Xu S, et al. Engineered mesenchymal stem cell-derived exosomes with high CXCR4 levels for targeted siRNA gene therapy against cancer. Nanoscale. 2022;14(11):4098–113.

    Article  CAS  PubMed  Google Scholar 

  335. Swain SM, Shastry M, Hamilton E. Targeting HER2-positive breast cancer: advances and future directions. Nat Rev Drug Discovery. 2023;22(2):101–26.

    Article  CAS  PubMed  Google Scholar 

  336. Wang L, et al. Exosomes containing miRNAs targeting HER2 synthesis and engineered to adhere to HER2 on tumor cells surface exhibit enhanced antitumor activity. J Nanobiotechnol. 2020;18(1):153.

    Article  CAS  Google Scholar 

  337. National Library of Medicine. Phase 1 study of macrophage reprogramming agent, exoASO-STAT6 (CDK-004), in patients with advanced Hepatocellular Carcinoma (HCC) and patients with liver metastases from either primary gastric Cancer or Colorectal Cancer (CRC). Bethesda (MD): National Library of Medicine (US); [updated 2023 Jun 01; cited 2025 Mar 10]. Available from: https://clinicaltrials.gov/study/NCT05375604.

  338. Tian Y, et al. A doxorubicin delivery platform using engineered natural membrane vesicle exosomes for targeted tumor therapy. Biomaterials. 2014;35(7):2383–90.

    Article  CAS  PubMed  Google Scholar 

  339. Liu C, Xia C, Xia C. Biology and function of exosomes in tumor immunotherapy. Biomed Pharmacother. 2023;169:115853.

    Article  CAS  PubMed  Google Scholar 

  340. Xu Z, et al. A near-infrared light-responsive extracellular vesicle as a “Trojan horse” for tumor deep penetration and imaging-guided therapy. Biomaterials. 2021;269:120647.

    Article  CAS  PubMed  Google Scholar 

  341. Cheng L, et al. Gene-engineered exosomes-thermosensitive liposomes hybrid nanovesicles by the blockade of CD47 signal for combined photothermal therapy and cancer immunotherapy. Biomaterials. 2021;275:120964.

    Article  CAS  PubMed  Google Scholar 

  342. Du J, et al. Designer exosomes for targeted and efficient ferroptosis induction in cancer via chemo-photodynamic therapy. Theranostics. 2021;11(17):8185–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  343. Dao A, et al. Engineered Exosomes as a Photosensitizer Delivery Platform for Cancer Photodynamic Therapy. ChemMedChem. 2022;17(10):e202200119.

    Article  CAS  PubMed  Google Scholar 

  344. Ho J, Chaiswing L, St DK. Clair, Extracellular Vesicles and Cancer Therapy: Insights into the Role of Oxidative Stress. Antioxidants. 2022;11(6):1194.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  345. Jiang H, et al. Drug-induced oxidative stress in cancer treatments: Angel or devil? Redox Biol. 2023;63:102754.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  346. Jahangiri B, et al. Exosomes, autophagy and ER stress pathways in human diseases: Cross-regulation and therapeutic approaches. Biochim Biophys Acta Mol Basis Dis. 2022;1868(10):166484.

    Article  CAS  PubMed  Google Scholar 

  347. Kim W, et al. Cellular Stress Responses in Radiotherapy. Cells. 2019;8(9):1105.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  348. Kalluri R, McAndrews KM. The role of extracellular vesicles in cancer. Cell. 2023;186(8):1610–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  349. Liou GY, Storz P. Reactive oxygen species in cancer. Free Radic Res. 2010;44(5):479–96.

    Article  CAS  PubMed  Google Scholar 

  350. Morgan MJ, Liu ZG. Crosstalk of reactive oxygen species and NF-κB signaling. Cell Res. 2011;21(1):103–15.

    Article  CAS  PubMed  Google Scholar 

  351. Zou Z, et al. Induction of reactive oxygen species: an emerging approach for cancer therapy. Apoptosis. 2017;22(11):1321–35.

    Article  CAS  PubMed  Google Scholar 

  352. Tangpong J, et al. Adriamycin-induced, TNF-alpha-mediated central nervous system toxicity. Neurobiol Dis. 2006;23(1):127–39.

    Article  CAS  PubMed  Google Scholar 

  353. Ren X, et al. The triangle of death of neurons: Oxidative damage, mitochondrial dysfunction, and loss of choline-containing biomolecules in brains of mice treated with doxorubicin. Advanced insights into mechanisms of chemotherapy induced cognitive impairment (“chemobrain”) involving TNF-α. Free Radic Biol Med. 2019;134:1–8.

    Article  CAS  PubMed  Google Scholar 

  354. Suematsu N, et al. Oxidative stress mediates tumor necrosis factor-alpha-induced mitochondrial DNA damage and dysfunction in cardiac myocytes. Circulation. 2003;107(10):1418–23.

    Article  CAS  PubMed  Google Scholar 

  355. Shringarpure R, et al. 4-Hydroxynonenal-modified amyloid-beta peptide inhibits the proteasome: possible importance in Alzheimer’s disease. Cell Mol Life Sci. 2000;57(12):1802–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  356. Yarana C, et al. Extracellular Vesicles Released by Cardiomyocytes in a Doxorubicin-Induced Cardiac Injury Mouse Model Contain Protein Biomarkers of Early Cardiac Injury. Clin Cancer Res. 2018;24(7):1644–53.

    Article  CAS  PubMed  Google Scholar 

  357. Yáñez-Mó M, et al. Biological properties of extracellular vesicles and their physiological functions. J Extracell Vesicles. 2015;4:27066.

    Article  PubMed  Google Scholar 

  358. van der Pol E, et al. Classification, functions, and clinical relevance of extracellular vesicles. Pharmacol Rev. 2012;64(3):676–705.

    Article  PubMed  Google Scholar 

  359. Fenech M, et al. Molecular mechanisms of micronucleus, nucleoplasmic bridge and nuclear bud formation in mammalian and human cells. Mutagenesis. 2011;26(1):125–32.

    Article  CAS  PubMed  Google Scholar 

  360. Yokoi A, et al. Mechanisms of nuclear content loading to exosomes. Sci Adv. 2019;5(11):eaax8849.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  361. Holmgren L, et al. Horizontal transfer of DNA by the uptake of apoptotic bodies. Blood. 1999;93(11):3956–63.

    Article  CAS  PubMed  Google Scholar 

  362. Fischer S, et al. Indication of Horizontal DNA Gene Transfer by Extracellular Vesicles. PLoS ONE. 2016;11(9):e0163665.

    Article  PubMed  PubMed Central  Google Scholar 

  363. Cai J, et al. Extracellular vesicle-mediated transfer of donor genomic DNA to recipient cells is a novel mechanism for genetic influence between cells. J Mol Cell Biol. 2013;5(4):227–38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  364. Cai J, et al. Transferred BCR/ABL DNA from K562 extracellular vesicles causes chronic myeloid leukemia in immunodeficient mice. PLoS ONE. 2014;9(8):e105200.

    Article  PubMed  PubMed Central  Google Scholar 

  365. Lee TH, et al. Oncogenic ras-driven cancer cell vesiculation leads to emission of double-stranded DNA capable of interacting with target cells. Biochem Biophys Res Commun. 2014;451(2):295–301.

    Article  CAS  PubMed  Google Scholar 

  366. Lee TH, et al. Barriers to horizontal cell transformation by extracellular vesicles containing oncogenic H-ras. Oncotarget. 2016;7(32):51991–2002.

    Article  PubMed  PubMed Central  Google Scholar 

  367. Høyer-Hansen M, Jäättelä M. Connecting endoplasmic reticulum stress to autophagy by unfolded protein response and calcium. Cell Death Differ. 2007;14(9):1576–82.

    Article  PubMed  Google Scholar 

  368. Walter P, Ron D. The Unfolded Protein Response: From Stress Pathway to Homeostatic Regulation. Science. 2011;334(6059):1081–6.

    Article  CAS  PubMed  Google Scholar 

  369. Zhang W, et al. Endoplasmic reticulum stress—a key guardian in cancer. Cell Death Discovery. 2024;10(1):343.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors extend their sincere thanks to Professor Jiří Homola for his exceptional support and guidance. His expertise and insightful feedback were essential to the successful completion of this manuscript. Figures were created using BioRender software. The manuscript text was linguistically enhanced and proofread using QuillBot, an artificial intelligence-based language processing tool. This step was taken to improve clarity and readability while maintaining the original scientific content and meaning.

Funding

This work was supported by the project National Institute for Cancer Research (Programme EXCELES, ID Project No. LX22NPO5102) and funded by the European Union – Next Generation EU; the Czech Science Foundation (contract 20–23787X); Research Infrastructure NanoEnviCz (Project No. LM2018124), the project Pro-NanoEnviCz (Reg. No. CZ.02.1.01/0.0/0.0/16_013/0001821 and CZ. 02.1.01/0.0/0.0/18_046/0015586), supported by the Ministry of Education, and by the project MATBIOMED—Materials and Technologies for Bioapplications and Medicine, reg. no.: CZ.02.01.01/00/23_021/0008398, funded by OP JAK; and by the Italian Ministry of Health 5 M-2019–23680417.

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A. S., M. L., R. H., and M. C. contributed to the concept and design, wrote the manuscript, and generated figures and tables. A. S., CH. B., and G. D Z. performed critical revision and editing of the scientific content. All authors read and approved the final manuscript.

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Correspondence to Alena Semeradtova, Chiara Brignole or Genny Del Zotto.

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Semeradtova, A., Liegertova, M., Herma, R. et al. Extracellular vesicles in cancer´s communication: messages we can read and how to answer. Mol Cancer 24, 86 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12943-025-02282-1

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