- Review
- Open access
- Published:
Immunotherapy: an emerging modality to checkmate brain metastasis
Molecular Cancer volume 22, Article number: 111 (2023)
Abstract
The diagnosis of brain metastasis (BrM) has historically been a dooming diagnosis that is nothing less than a death sentence, with few treatment options for palliation or prolonging life. Among the few treatment options available, brain radiotherapy (RT) and surgical resection have been the backbone of therapy. Within the past couple of years, immunotherapy (IT), alone and in combination with traditional treatments, has emerged as a reckoning force to combat the spread of BrM and shrink tumor burden. This review compiles recent reports describing the potential role of IT in the treatment of BrM in various cancers. It also examines the impact of the tumor microenvironment of BrM on regulating the spread of cancer and the role IT can play in mitigating that spread. Lastly, this review also focuses on the future of IT and new clinical trials pushing the boundaries of IT in BrM.
Introduction
Metastasis to distant or multiple organs is a major obstacle to dealing with every aspect of cancer management. Some of the metastatic cases, such as brain metastasis (BrM,) further aggravate quality of life, and it is one of the primary reasons for metastasis-related deaths. An estimated 300,000 people are diagnosed with BrM in the United States every year [1]. BrM is the most common intracranial malignancy in adults and is 10 times more common compared to primary intracranial neoplasms [2]. A diagnosis of BrM carries a poor prognosis with high mortality and morbidity [3]. The median survival time depends on the primary malignancy and ranges from 4 to 16 months [4]. The most common primary sites of cancer that BrM originate from are kidney cancer (2–4%), colorectal cancer (CRC) (3–8%), melanoma (5–20%), breast cancer (BC) (15–30%), and lung cancer (LC) (40–50%) [5].
Traditionally, the mainstay of treatment in BrM has been surgical resection and radiotherapy (RT), including whole-brain radiation therapy (WBRT) and stereotactic radiosurgery (SRS) [6]. SRS, despite the name, does not involve surgical excision of tissue, but instead is a form of RT, where 3D imaging is used to deliver a highly concentrated dose of radiation directly to the tumor. The advantage of this type of RT is that it reduces toxicity to the adjacent normal tissues around the tumor and decreases the risk of radiation toxicity to healthy tissues. Chemotherapy drugs are not typically used to treat BrM because 95% of them don’t pass through the intact blood-brain barrier (BBB) [7]. Despite the use of these therapies, the mortality and morbidity rate of BrM remains high, with part of the reason being tumor heterogeneity and tumor cell plasticity. Thus, it is imperative to explore newer therapies that can cross the BBB and target different aspects of the tumor microenvironment in BrM. One such field of therapy that has gained widespread attention in the past 10 years has been immunotherapy (IT). IT has shown promising results in improving the overall survival (OS) rate in patients with BrM, both alone and in combination with traditional therapies [8,9,10].
ITs are the types of cancer treatments that utilize components of the immune system made by the body itself or developed in a laboratory to boost our immune system that help to identify and kill cancer cells [11]. The immune system is divided into primary and secondary immune organs [12]. The primary organs are bone marrow and thymus, while the secondary immune organs are the spleen, lymph nodes, mucosal-associated lymphoid tissues (MALTs) and gut-associated lymphoid tissues (GALTs) [12]. The bone marrow produces B cells and T cells, but T cells are primed in the thymus [12]. In addition to T/B cells, neutrophils, dendritic cells (DCs), and NK cells are other major immune cells that play an indispensable role in modulating tumor immune response. For instance, neutrophils are the key players recruited during inflammation, NK cells display a rapid and potent innate cytolytic immune response to infected cells, and DCs work as specialized antigen-presenting cells (APCs) interfacing between adaptive and innate immunity [13, 14]. T and B cells are the major components of adaptive and humoral immunity that generate an immune response according to the immunological context. CD8+ or cytotoxic T cells are the most widely studied and prominent anti-tumor cells that exert direct destruction through granzyme- and perforin-containing granules-mediated exocytosis. CD4+ T cells or T helper cells (Th-1) work through the secretion of proinflammatory cytokines that induce T-cell activation and priming, and modulate the functioning of NK cells and APCs [15]. On the other hand, CD4+ T cells also work as regulatory T cells (Tregs) that suppress the immune response and maintain self-tolerance. B-cells are well studied in memory-related immune response, but less explored in cancer immunology [15]. These arms of the immune system play an important role in protecting or fighting against cancer or neoplastic growth. However, the immune barrier is compromised in most cancer types or immune cells become exhausted or non-functional when encountered with cancer cells (due to the overexpression of immune inhibitory molecules such as PD-L1 in cancer cells) [16]. Therefore, to boost or activate an anticancer immune response in various cancer types, it is necessary to remove the hurdles that compromise the functioning of immune cells or components, and immunotherapeutic approaches are the ways that help to elicit anticancer immune response.
The four major ITs currently being studied in BrM include immune checkpoint inhibitors (ICIs), adoptive cellular immunotherapy, treatment vaccines, and oncolytic virus therapy [17]. ICIs block the binding of checkpoint proteins with their partner proteins, thus allowing cytotoxic T-cells to induce tumor cell death. Common checkpoint proteins that are drug targets include programmed cell death protein-1 (PD-1), programmed death-ligand 1 (PD-L1), cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), and most recently, lymphocyte activation gene 3 (LAG-3) (Figs. 1 and 2; Tables 1 and 2) [18]. Adoptive cellular immunotherapy involves isolating immune cells from a patient and either expanding their numbers or using gene therapy to enhance their cancer-fighting abilities. Chimeric antigen receptor (CAR) is a synthetic receptor equipped with T-cells in CAR-T cell therapy, which allows the receptor to bind to cancer cells even if their antigens are not presented on the surface via a major histocompatibility complex (MHC). This overcomes the limitations of previous adoptive cellular immunotherapies, including tumor-infiltrating lymphocyte (TIL) and engineered T cell receptor (TCR) therapy, which requires cancer cells to present their antigens on the surface via MHC [19]. Tumor vaccines employ the use of tumor-associated antigens that are present at low levels or not present in healthy cells to prime the immune system to recognize and react to those antigens to target and kill cancer cells. Oncolytic virus therapy directly injects the virus into a tumor where it can then infect both normal adjacent tissue and cancerous cells, but only normal cells can kill the virus, whereas as cancer cells are unable to do so, causing the virus to replicate copies of itself unchecked and eventually causing the tumor cell to undergo cell death [20, 21].
Mechanism of brain metastasis and the timeline for progress in immunotherapy. (A) Circulating tumor cells or metastatic cells predispose the primary melanoma, lung, breast, renal, and colorectal cancers to enter the bloodstream or systemic circulation through intravasation, reach to the brain, and extravasate through the blood-brain barrier. In the brain, these metastatic cells evade apoptosis through L1CAM mediated vascular co-option, and various other factors such as STAT3, PI3K, S6GALNAC5, and cathepsin S help these cells to colonize and grow. These cells also modify their metabolism to high OXPHOS and become less glycolytic. (B) Timeline progress related to the implications of various immunotherapies in treating brain metastasis.
Brain metastasis and cancer immunotherapies. (A) In addition to metastasized tumor cells, the tumor microenvironment (TME) of brain metastasis consists of unique cell type(s), including astrocytes/activated astrocytes, microglia cells, myeloid-derived suppressor cells (MDSCs), and neurons. The neurological secretions from astrocytes/microglial cells support the growth of metastasized cancer cells in the brain microenvironment. There are multiple mechanisms for brain metastatic cancer cells to evade immune cells; it could be through upregulating the PD-L1/PD-1 axis in cancer/immune cells, overexpression of surface receptors such as CD44, or by secreting exosomes or other metabolites that enhance the recruitment of immunosuppressive regulatory T cells (Treg) cells. (B) Various types of immunotherapies, including anti-PD-L1/anti-PD1 and anti-CTLA4, are currently being evaluated for the treatment of brain metastasis. The ITs enhance the activity of T effector cells (CD8+) or induce tumor antigen presentation to cause immune activation, which promotes cancer cell death.
Despite being one of the leading causes of cancer-related deaths, BrM was historically understudied, and it is in the last decade we have witnessed a surge in active research focusing on BrM [22,23,24]. The technological advances in terms of high throughput genomics, imaging, and novel models (cell lines and animal) have helped researchers to understand BrM and develop effective therapeutic modalities such as ITs to improve outcomes in BrM patients. As IT has been emerging as a potential therapeutic strategy for BrM and various clinical trials are currently under progress (Table 1), the compilation of recent studies and development on BrM would help researchers and clinicians gain better insight into understanding and identifying gaps in knowledge, which can further serve as a guide to improving immunotherapeutic modalities and patient outcomes. This review article summarizes the implications of immunotherapies and recent progress currently being employed in treating BrM, including in combination with SRS and chemotherapy, as well as in relation to drug resistance mechanisms and the future of immunotherapy.
Brain metastasis formation
Mechanism of brain metastasis
Before we delve into IT treatments currently being used, we first need to understand the main mechanism of BrM from primary tumors. BrM formation is a complex process involving numerous signaling pathways and multiple steps, thus we have limited our focus to the main mechanism of BrM common amongst primary tumors including melanoma, breast, lung, colon, and kidney cancers (Fig. 1A). The primary tumor continuously sheds circulating tumor cells (CTCs) into the bloodstream, which not only survive, but go on to serve as seeds for secondary tumors [25]. Once CTCs reach secondary sites like the brain, they can often become dormant, but they can come out of dormancy through different mechanisms including with the help of STAT3, L1CAM, and cathepsin S [25]. A subpopulation of astrocytes are equipped with signal transducer and activator of transcription 3 (STAT3), which serves to regulate a diverse array of functions in the body [25,26,27]. Activation of STAT3 by brain metastatic cells via upregulation of cytokines like transforming growth factor α (TGF- α), epidermal growth factor (EGF), and macrophage migration inhibitor factor (MIF) leads to formation of astrospheres that then function to suppress CD8+ T cells in the brain microenvironment, allowing them to evade detection and apoptosis [25, 26]. The brain stroma contains plasmin, which can convert fas ligand (FasL), a member of the tumor necrosis factor (TNF) receptor family, which plays a role in initiating apoptosis by activating the caspase cascade, into a death signal via paracrine signaling [25]. In addition, cathepsin S functions to sever junctional adhesion molecules (JAM) like JAM-B in the BBB, thus aiding in the migration of brain metastatic cells [25]. The death signal induced by FasL against the metastatic cancer cells inhibits L1 cell adhesion molecule (L1CAM), which is needed for tumor cells to access vasculature and grow [25]. In the brain, cancer cells contain anti-plasminogen activator serpins that inhibit plasmin, thus preventing FasL from being activated and initiating apoptosis, and helping cancer cells to form brain metastasis [25].
Healthy brain immune system versus brain metastasis
The healthy brain immune system consists of immune cells like microglia, which comprise of 80% of the immune cells in the brain, as well as myeloid cells, dendritic cells, monocytes/macrophages, natural killer cells, and B and T cells [28]. In BrM, there is a coordinated effort of cancer cells to cause immunosuppression within the brain tumor microenvironment (TME). Myeloid-derived suppressor cells (MDSCs) are alerted to the inflammation and necrosis present in the TME and work to downregulate the antitumor immune response (Fig. 2A) [29]. Furthermore, the MDSCs, in a bid to reduce inflammation, starve T cells and prevent their activation by depleting amino acids in the TME. MDSCs also produce nitric oxide (NO), which impedes IL-2 signaling, a promoter of inflammatory response, via the activation of Th1 and Th2 effector cells [30, 31]. In this environment of unchecked growth in the TME, there are reactive oxygen species (ROS) generated, which damage the healthy immune cells, including T cells. Tumor-associated macrophages (TAMs) also play a part in immunosuppression by taking on a pro-tumoral M2 phenotype, which further promotes an immunosuppressive environment [32]. DCs within the TME are inhibited by the immunosuppressive environment and remain immature [33]. Lastly, regulatory T cells are involved in creating an immunosuppressive environment by releasing multiple cytokines like IL-10, IL-35, and TGFβ, while at the same time, inhibiting co-inhibitory receptors, and devouring any IL-2 in the environment [12, 34].
Immunotherapy in melanoma brain metastases
Melanoma is deadly cancer with a high propensity for BrM [35, 36]. The frontal and temporal lobes of the brain are the most common sites of MBrM [37]. Historically, the median OS of melanoma BrM (MBrM) patients has been poor, at 3 to 5 months, with even lower OS in patients with metastatic melanoma leptomeningeal disease at 2.9 months [35, 37,38,39]. Currently, the standard of care for MBrM is WBRT, SRS, a combination of the two, or IT alone or in combination with SRS. ICI drugs including ipilimumab, pembrolizumab, nivolumab, and most recently, relatlimab (in combination with nivolumab) have been approved for metastatic melanoma by the FDA (Table 2) [40, 41]. In recent years, there has been a big push to investigate whether the use of IT in MBrM also improves outcomes in patients like it has in melanoma patients.
Biomarkers for melanoma brain metastases
To effectively treat MBrM, it is important to examine the tumor immune microenvironment (TIME) and identify predictive markers of response to IT. V-raf murine sarcoma viral oncogene homolog B1 (BRAF) is a serine/threonine protein kinase that modulates the signaling of mitogen-activated protein kinases (MAPKs), which is crucial for cell proliferation, metastasis, differentiation, and cell apoptosis. A BRAF gene mutation can lead to an alteration of the BRAF protein that regulates cell growth, leading to uninhibited and unchecked growth. BRAF mutations are found in nearly half of all patients diagnosed with melanoma, with nearly 90% of those mutations at the V600E location (glutamic acid to valine substitution) [42]. There is evidence that the use of first-line IT in patients with melanoma diagnosed before the intracranial spread of the tumor can mitigate the spread. Wang et al. examined the use of first-line IT and TT in patients with melanoma who had BRAF-mutations [43]. They found that the median BrM-free survival (BMFS) in IT-treated patients was 41.9 months versus 11.0 months for TT [43]. Furthermore, they found that the median OS showed qualitatively similar results to BMFS [43]. The patients receiving first-line anti-CTLA4 + anti-PD-1 combination IT only, or followed by second-line TT had better BMFS, improved OS, and reduced incidence of BrM [43].
One study sought to create a clinical predictive model for response and survival to ITs (anti-PD-1 monotherapy or in combination with anti-CTLA-4–ipilimumab) in metastatic melanoma patients [44]. The model for the prediction of the objective response rate in patients with advanced melanoma treated with IT presented 6 clinical parameters that included: serum lactate dehydrogenase, blood neutrophil-lymphocyte ratio, Eastern Cooperative Oncology Group (ECOG) performance status, the presence or absence of liver and lung metastases, therapy (monotherapy or combination) and type of treatment [44]. The ECOG performance status is a scale that defines a patient’s level of functioning in terms of their ability to care for themselves, their daily activity, as well as their physical ability [45]. The PFS and OS predictive models included the same parameters as above (except for the presence or absence of lung metastases) as well as the presence or absence of BrM and blood hemoglobin [44]. This study illustrates a new predictive clinical model for response to IT in metastatic melanoma that may serve as a valuable tool in clinical decision-making.
Melanoma brain metastases treated with immunotherapy as a monotherapy
Given the success of IT in treating melanoma, there has been a push to see if IT could also be beneficial in MBrM patients. One study found that in MBrM patients treated with IT alone, the median OS was 7.29 months, a modest increase from patients not treated with RT or IT who had an OS of 3 to 5 months [35, 46]. However, the median OS in patients treated with SRS alone was higher at 9.33 months, indicating that while IT alone prolonged OS, it did not prolong it to the same level as traditional SRS [46]. This was reinforced by evidence from other studies that examined the OS of MBrM patients who received IT alone, indicating that those patients showed no objective responses and had worse outcomes than patients treated with SRS with or without IT [47, 48]. A similar study found that IT-naïve patients treated with IT alone were associated with an increased risk of death compared to IT-naïve patients treated with surgery followed by IT [49].
Combination immunotherapies in melanoma brain metastases
The addition of IT to traditional RT, like SRS has drastically improved median OS in MBrM patients. SRS in combination with immunotherapy has shown better clinical outcomes versus SRS or IT alone (Fig. 3) [8,9,10, 38, 50, 51]. A study found that the median OS in patients treated with SRS + IT was 15.77 months, significantly improved from the historical median OS [46]. Furthermore, SRS + IT given concurrently (defined as IT administered within 28 days of SRS), prolonged survival, with a 24-month OS rate of 47% compared to 37% for the non-concurrent group [46]. Combined concurrent IT with WBRT increased OS compared to WBRT alone, though the OS was more in the combined SRS + IT group versus WBRT + IT group [46]. The difference in OS between the two groups could also be because WBRT is used for extensive disease, while SRS is preferred for local disease, so accordingly, it is understandable why the OS in the WBRT group would be less than the SRS group. One limitation of this study is that the IT agents used were not specified and could include ICIs, interleukins, or other biomarkers. Shanker et al. conducted a similar retrospective analysis examining the concurrent use of SRS + IT versus non-current use [10]. They reported results that bolstered previous evidence that concurrent SRS + IT therapy increases the chance of achieving a complete response or partial response, with reduced likelihood of progression of the disease [10]. These outcomes definitively indicate combining IT with traditional RT increases OS for patients, and concurrent therapy is superior to nonconcurrent therapy. Furthermore, another study has found that the optimum time between SRS and administration of IT may be within 7 days, having shown a possible association with improved outcomes in patients with MBrM [52].
Different immunotherapies currently in clinics and their utilization for treating brain metastasis. Brain metastases occur following the migration of cancer cells from their primary tumor sites, commonly from the breast, lung, kidney/renal, colon, and melanoma to the brain. The immunotherapies displayed in the figure are in clinics for treating brain metastasis in combination with radiotherapy (RT)/ stereotactic radiosurgery (SRS). In addition to current ITs, the application of antibody-drug conjugates (ADCs) and CART cells can be harnessed to enhance the efficacies of these therapeutic modalities to treat BrM.
Traditionally, studies examining the concurrent use of IT with RT have not evaluated whether there is a difference in the outcomes based on the treatment order. One such study investigated whether the order of RT and IT affected treatment outcomes; they evaluated patients with MBrM who were split into 2 groups; one group was treated with RT first and then ICI therapy (anti-CTLA4 ipilimumab + anti-PD-1 nivolumab), while the other group was treated with ICI first and then RT [53]. Multivariate analysis revealed that there was an increase in OS and better disease control when starting with RT and then administering ICI therapy [53]. RT and 2 cycles of ipilimumab treatment administered with either RT or ipilimumab given first, showed increased frequency of activated CD4+ and CD8+ T cells with enhanced melanoma-specific T cell responses [53]. Lasso regression analysis also showed a high frequency of memory T cells and CD8+ T cells in the blood [53].
The use of ICIs like anti-CTLA4 and anti-PD-1 in treating MBrM patients in combination with RT is increasingly being proven to be superior in improving OS and achieving intracranial response compared to other combinations of therapies [49, 50, 54]. The CheckMate 204 phase 2 study examined the long-term outcomes of MBrM patients treated with a combination of anti-CTLA4 (ipilimumab) and anti-PD-1 (nivolumab) [55, 56]. Intracranial PFS was observed in 54.1% of asymptomatic patients and 18.9% of symptomatic patients, while the 3-year OS was 71.9% and 18.9% in asymptomatic and symptomatic patients, respectively [55]. Objectively, this data is supported by another study that found the 2-year survival rate for patients treated with anti-CTLA-4, anti-PD1, or a combination of the two was 19%, 54%, and 57%, respectively [49]. Another study evaluated patients post-GKRS and found that patients who were treated with either anti-CTLA4 or anti-PD-1 therapy or a combination of the two also showed a significantly longer OS, compared to any other types of treatment after GKRS [57]. The TT of BRAF inhibitor, mitogen-activated protein kinase (MEK) inhibitor, or tyrosine kinase inhibitors (TKI) showed no improvement in OS compared to MBrM patients who received no additional treatment post-GKRS [57]. The group further found that the occurrence of complications like hemorrhage or radiation necrosis after GKRS was not statistically significantly different in the IT/TT group [57]. This was bolstered by another study that similarly found that SRS with simultaneous IT/TT improved lesion control significantly with no noticeable difference in radiation necrosis rate [51]. Amaral et al. also investigated the use of nivolumab (anti-PD-1) combined with ipilimumab (anti-CTLA4) alone versus other combinatorial therapies in patients with symptomatic and asymptomatic MBrM [50]. In patients treated with ICI combined with SRS or surgery, there was improved OS in both symptomatic and asymptomatic MBrM patients [50]. In one study, the median OS after treatment with SRS with anti-PD-1 therapy within 3 months was 16.62 months from initial treatment with SRS, with a median PFS of 13.2 months [58]. Overall, the aforementioned studies definitively indicate that the use of ICIs in combination with SRS is vital to increasing OS in patients with MBrM. Furthermore, these studies provide strong evidence to use anti-CTLA4 and anti-PD1 drugs in combination with traditional RT should be considered as a mainstay of treatment in MBrM.
In 2022, the FDA approved the use of relatlimab, a lymphocyte activation gene 3 (LAG-3) inhibitor, in combination with nivolumab (Opdualag) for the treatment of metastatic or unresectable melanoma [41]. LAG-3 is an immune checkpoint protein found on the surface of regulatory and effector T cells, as wells as natural killer cells, B cells, and plasmacytoid dendritic cells, and works to regulate T cell activation, growth, and response, among other roles [59,60,61,62,63]. Approval of Opdualag by the FDA was based on the results of the clinical trial RELATIVITY-047, which examined the use of the combination drug versus nivolumab alone in 714 patients ≥12 years old, who had untreated metastatic or unresectable melanoma, including MBrM [41, 64]. The study found that the median OS of patients administered Opdualag was significantly higher at 10.1 months versus 4.6 months for the group treated with nivolumab alone [64]. The PFS was also significantly higher in the combination group at 47.7% versus 36.0% in the nivolumab monotherapy group [64].
When comparing treatment modalities used to treat MBrM, most studies have focused on the head-to-head comparison of traditional RT to IT or a combination of the two, with limited data on the comparison of chemotherapy to IT. One study compared the use of chemotherapies (carboplatin/paclitaxel, dacarbazine or temozolomide) in combination with surgery/radiosurgery (RSRS) with IT (CTLA-4 ± PD-L1 or PD-1 inhibitors) plus RSRS [65]. They found that the median OS for patients treated with IT + RSRS was 25 months, with the median OS of patients treated with chemotherapy and RSRS at 11 months [65]. Furthermore, the study also examined the use of combined TT (BRAF ± MEK inhibitors) with RSRS on median OS, finding it to be modestly improved in comparison to chemotherapy at 14 months [65].
The use of corticosteroids in concomitant treatment with IT has been shown to reduce the efficacy of IT [65]. Corticosteroids like dexamethasone are commonly used in symptomatic MBrM patients to reduce peritumoral edema [66]. Corticosteroids are known to depress the systemic immune system, so accordingly interfere with IT, which works to prime the immune system. One study showed that patients treated with corticosteroids, in addition to IT, had decreased median OS at 4 months and for patients not treated with concurrent corticosteroids had OS of 8 months [65]. Another case series examined the use of bevacizumab (a VEGF inhibitor) as a steroid-sparing agent in MBrM patients treated with IT, to see if it reduced peritumoral edema without interfering with the efficacy of IT treatment [66]. Bevacizumab was used in 12 very poor prognosis patients who either had BRAF wild-type MBrM or were resistant to BRAF/MEK inhibitor therapy [66]. All patients had previously been treated with surgery, SRS, or prior WBRT, with systemic therapy. Half of those patients had a concurrent decrease in the dose of dexamethasone, with 8 displaying reduced edema after 4 weeks of bevacizumab [66]. 10 patients received IT after bevacizumab [66]. Five patients survived for > 6 months, with one patient remaining disease-free after follow up of 4 years, without neurological deficits, despite previously being hemiplegic from BrM edema before bevacizumab therapy [66]. There were 7 patients who had adverse outcomes possibly related to bevacizumab treatment, including hypertension, intracranial hemorrhage, and gastrointestinal bleeding [66]. Bevacizumab has possibly been linked to increasing tumor-associated bleeding that might be due to an understudied mechanism regulating the regeneration of endothelial cells in the brain, leading to a compromise of blood vessel integrity [67]. MBrM patients have a high propensity for spontaneous hemorrhage independent of bevacizumab treatment, so the addition of another agent that may increase the risk of hemorrhage is concerning [68,69,70]. However, 10 of the 12 patients in the study displayed evidence of intracranial bleeding before beginning bevacizumab, and none of the patients displayed radiological aggravation of intratumoral bleeding that could be associated with bevacizumab [66]. Overall, this study indicates that the use of steroid-sparing agents should be considered in higher-risk MBrM patients who are going to be treated with IT, because it prolongs median OS more than corticosteroids, despite the risk of hemorrhage.
Immunotherapy in lung cancer brain metastases
Non-small cell lung cancer brain metastases
LCs account for the largest group of primary tumors that develop BrM [5]. It is further divided into two categories, non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). NSCLC comprises nearly 85% of all LC cases and is further divided into adenocarcinoma, large cell carcinoma, and squamous cell carcinoma. Advanced NSCLC has a high predilection to metastasize to distant organs, including the brain [71]. Approximately 20–40% of patients diagnosed with NSCLC will go on to develop BrM, while at the time of diagnosis, 10% of patients already have BrM [72, 73]. Interestingly, different types of primary lung cancers have a propensity to metastasize to certain parts of the brain. In squamous cell carcinoma the lesions are most commonly found in the cerebellum, while in large cell carcinoma, the lesions are most often found in the occipital lobe [37, 74]. Adenocarcinoma is more diverse in its metastasis pattern, with a proclivity for both the frontal lobe and the cerebellum [74]. Traditionally, treatment modalities of NSCLC BrM have mainly included RT (WBRT & SRS) and surgical resection. SRS is the standard RT used, while WBRT is reserved for those with high tumor burden [75]. The median OS of NSCLC patients receiving traditional therapies is between 7 and 9 months [76]. Thus, it is imperative to explore new therapies that can improve the low OS.
Biomarkers for improving the success of immunotherapy in NSCLC BrM
In recent years, studies investigating the use of ICIs have shown that they are effective treatments for various cancers. Furthermore, for advanced NSCLC without driver mutations, ICIs have become the standard first-line treatment modality [77,78,79]. However, studies examining the efficacy of IT in NSCLC BrM patients are limited in comparison. The efficacy of ICIs has been linked to various biomarkers in NSCLC, including TILs, tumor mutation burden (TMB), and PD-L1 expression [80]. It is important to better understand the brain immune microenvironment to evaluate how ICIs may interact with various biomarkers and either boost or decrease the efficacy of IT. One such study by Li et al. analyzed the differences in the TME of primary NSCLC tumors and paired BrM tumors and then compared them to normal lung and brain tissue samples [81]. An enrichment score represented the comparative abundance of various immune cell subtype, and it was found that the enrichment score of each immune cell subtype was decreased in BrM as compared to paired primary lung tumors [81]. Further, it was compared to normal lung and brain tissues, and they observed no significant difference in the enrichment score of immune cell types between normal and brain metastatic tissues, indicating the lower enrichment score of immune cells in BrM was tumor dependent [81]. BrM had higher fractions of CD4+ T-cells, dendritic cells, and neutrophils, with lower fractions of M1 macrophages and regulatory T-cells (Tregs) [81]. Tregs suppress the immune response to maintain homeostasis [82]. The differential expression analysis of ICI molecules suggests that the expression of C10orf54, otherwise known as V-domain immunoglobulin suppressor of T cell activation (VISTA), a type of transmembrane protein, and CTLA4 was decreased in BrM compared to primary lung tumors [81]. BrM were also found to have low PD-1 and CD8A expression compared to primary lung tumors [81]. Overall, these results indicate that BrM originating from lung cancer has an immunosuppressive microenvironment compared to primary tumors [81]. Traditionally, PD-1 and CTLA4 have been well-established as ICI targets, but this study indicates that the low expression of both in NSCLC BrM may decrease the effectiveness of ICIs. Additionally, PD-L1 expression can independently predict survival in patients with NSCLC BrM receiving ICI therapy [83, 84]. Interestingly, PD-L1 expression also predicts OS independent of the primary lung-graded prognostic assessment; however, the expression of PD-L1 is not associated with intracranial progression-free survival (IC-PFS) [83]. High PD-L1 expressing tumors show a robust response to anti-PD-1 (pembrolizumab) therapy, while low PD-L1 expressing tumors shows no response [85].
Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations are reported to have a poorer prognosis compared to wild-type KRAS tumors [86,87,88]. KRAS mutations are known to lead to an upregulation of PD-L1 expression [89]. PD-L1 is upregulated by KRAS mutation through extracellular signal-regulated kinase (ERK) signaling. High PD-L1 induces the apoptosis of CD3+ T cells, while ICIs like anti-PD-1 antibodies or ERK inhibitors, reverse the apoptosis [89]. KRAS mutation status plays a critical role in the efficacy of ICI therapy in NSCLC BrM patients [76]. One study found that patients with KRAS mutations treated with ICI therapy within 90 days of NSCLC BrM diagnosis, of whom 97% were initially treated with SRS, had improved OS compared to those that didn’t have KRAS mutations and were treated with ICI therapy. However, patients who were treated with ICI therapy had improved OS overall, regardless of KRAS mutation status [76].
The mutations in DNA polymerase ε (POLE, a polymerase necessary for DNA replication and repair) are common in colorectal and endometrial cancer but rare in NSCLC, accounting only for 3% of NSCLC [90, 91]. POLE mutations have been linked to high PD-L1, high TMB, and infiltration of CD8+ T cells in the TME, all favorable factors for IT [92]. There was a case report of a patient admitted for NSCLC BrM whose tumor was detected to have a POLE mutation and TP53 mutation [92]. He was treated with combination therapy with pemetrexed, carboplatin, bevacizumab, and tislelizumab (an anti-PD1 antibody) [92]. After 4 cycles of combined therapy, the BrM had completely disappeared [92]. After 11 months of combined therapy, the patient continued to respond to ongoing therapy with no adverse events related to treatment [92]. This case provides evidence that POLE mutations correlate with higher responsiveness to IT.
Another case report described a patient with BrM from squamous cell carcinoma, who showed pathologic complete response (pCR), with continuous chemo-immunotherapy [93]. The patient was found to have negative PD-L1 expression but high TMB [93]. The patient began systemic chemo-immunotherapy (paclitaxel + carboplatin + pembrolizumab) in December 2017 and achieved a partial response following 4 cycles of therapy [93]. The patient stopped receiving any treatment after the resection of his primary lung tumor and has maintained his cancer-free status as of December 2020, three years after first starting therapy, providing evidence that high TMB may correlate to higher responsiveness to IT [93].
Epidermal growth factor (EGFR) mutation responsiveness to IT has not yet been determined, but there is limited evidence that shows that it may be a predictor for better response to IT. Nong et al. present a case report of a durable response to sintilimab (PD-1 inhibitor) in addition to chemotherapy (pemetrexed and carboplatin) in a lung adenocarcinoma patient with untreated BrM having insertion mutation in EGFR exon 20 [94]. The patient started chemo-immunotherapy in November 2019 and received 6 cycles of treatment with follow-up maintenance therapy with sintilimab and pemetrexed [94]. The patient had a PFS of 18 months as reported by the last follow-up in May 2021 and continued to receive treatment with sintilimab and pemetrexed with no evidence of toxicity [94]. Another case report by Pizarro et al. presented a similar patient with EGRF mutation in NSCLC BrM who showed a complete response to ICI plus chemotherapy after clinical response to afatinib (a tyrosine kinase inhibitor) and SRS [95]. One year after treatment, the patient remained in remission with maintenance therapy of pembrolizumab plus pemetrexed [95]. These case reports highlight the prevailing theory that EGFR mutation may have a role in boosting the efficacy of IT.
Rearranged during transfection (RET) is a proto-oncogene that becomes oncogenic upon rearrangement [96]. RET rearrangements were seen in 1–2% of NSCLC patients [96]. Nearly, 50% of NSCLC patients having a RET-rearrangement have a prevalence of developing BrM. RET-rearrangements are associated with high PD-L1 expression [96]. Riudavets et al. present a case report of a woman with initial adenocarcinoma who received chemotherapy but went on to develop BrM and liver metastases with RET-rearrangement, with high PD-L1 (90%) expression seen on tumor tissues through immunohistochemistry [96]. At that point, the patient was started on ICI (pembrolizumab) and continued that treatment for 5 cycles before it was discontinued due to liver toxicity [96]. The patient refused the proposed corticosteroid therapy but, despite no further treatment, received a normal liver test at 14 weeks, and 6 months later imaging showed a complete response [96].
Prognostic predictors of responsiveness to IT in NSCLC BrM patients are invaluable tools clinically. One study examined the prognostic, predictive value of surveying the pre-SRS leukocyte-based ratios of NSCLC BrM patients who were later treated with IT or targeted therapy (TT) [97]. Within 14 days before SRS, patients’ lymphocyte-to-monocyte, platelet-to-lymphocyte, and neutrophil-to-lymphocyte ratios were assessed [97]. Leukocyte-based ratios have been found to predict the survival of patients having BrM before treatment with SRS, without additional IT or TT [98,99,100]. The pre-SRS neutrophil-to-lymphocyte ratio was found to be a significant and independent factor for survival [97]. This study provides evidence that the neutrophil-to-lymphocyte ratio may serve as a relevant prognostic predictor for survival in patients later treated with IT.
NSCLC brain metastases treatment with immune checkpoint inhibitor monotherapy
The discovery of ICI has vastly improved the OS of patients in comparison to traditional therapies and drastically changed treatment guidelines. ICI has cemented its place in metastatic NSCLC according to the National Comprehensive Cancer Network guidelines. The use of ICI monotherapy has been explored in NSCLC BrM. It shows merit in asymptomatic active BrM, with a median OS of 17.0 months and progression-free survival (PFS) of 3.19 months, which is an improvement in comparison to median OS after traditional therapies (ranging from 7 to 9 months) [76, 101].
Rounis et al. examined the efficacy of PD-1/PD-L1 inhibitor(s) as monotherapy in NSCLC BrM patients [102]. Clinical parameters such as age ≥ 70 years and no previous brain radiation therapy were associated with worse response to ICI therapy and intracranial disease progression [102]. These results expand on the findings seen in a similar trial that focused on the PD-1 inhibitor nivolumab monotherapy in non-squamous NSCLC BrM, which confirmed that while PD-1 inhibitors are active and show some benefit in OS these patients, IT monotherapy does not show the same benefit in OS as combined therapy [102, 103].
Combination immunotherapies for NSCLC brain metastases
Tumor heterogeneity/subtype switching leads to differential responses to various anticancer therapies (monotherapies); therefore, it becomes imperative to target these tumors with a combination of two or more therapeutic modalities such as chemo-immunotherapies or a combination of more than one IT or RT in combination with IT. RT works to induce cell death and then optimize the systemic immune response induced by IT by subsequently activating and increasing T-cell infiltration [104,105,106,107]. This synergistic effort is likely the cause of the abscopal effect [108,109,110]. The abscopal effect is the reduction of metastatic growth at a distance from the primary site of therapy or radiation [111]. Before the widespread use of IT, the abscopal effect was rarely seen, but because of widespread IT use, it is now commonly observed across various metastatic cancer types [111]. In a lung adenocarcinoma patient with BrM, there was a reported case of extra-cranial abscopal effect following SRS, with atezolizumab as a second-line therapy [111]. The patient had pseudo-progression of the primary tumor in the lungs before remission was confirmed [111]. This case is unique because the central nervous system (CNS) is considered as immune privileged, with limited regular immune responses observed (Fig. 2A-B) [111].
Multiple clinical trials have examined the implications of SRS monotherapy versus combined SRS + ICI in NSCLC BrM patients and its effect on OS, distant brain failure, and neurological brain death [112,113,114,115]. Combined SRS + ICI therapy (anti-PD-1/anti-PD-L1 inhibitors) demonstrated decreased distant brain failure, decreased neurological brain death, and increased OS, compared to the SRS monotherapy group [112]. Two-year lesion control in the patients who received SRS + ICI therapy was 97% versus 86% for those who received SRS monotherapy [112]. Furthermore, the concomitant use of gamma knife radiosurgery (GKRS), a type of SRS, with ICIs showed increased OS without increased complications like radiation necrosis, radiation reaction, or intralesional hemorrhage [113]. Patients receiving SRS + ICI therapy also had a longer intracranial Local Progression-Free Survival (iLPFS) [114]. If ICI was administered within 7 days of SRS, there was a correlation with increased OS, compared to ICI administered greater than 7 days from SRS [114]. It is also important to note that the time interval between SRS and ICI therapy did not impact the toxicity rate [114]. The historical control group had a local failure rate of 10% in 1 year, compared to 1.1% in the concurrent IT group [115]. The addition of ICI therapy has been shown to increase the long-term OS of NSCLC BrM patients to the same level as NSCLC patients without BrM [116]. Based on these studies, ICIs have proven to be a robust treatment option for NSCLC patients with BrM in combination with traditional RT like SRS (Figs. 2 and 3).
There is reported evidence that RT + ICI is superior to RT + chemotherapy in terms of OS in NSCLC BrM [117]. Wasilewski et al. explored the association of OS in patients with NSCLC BrM who had undergone previous neurosurgical resection and then received treatment with RT + chemotherapy or RT + ICI [117]. Patients receiving RT + chemotherapy following neurosurgery had lower OS (11.8 months) compared to patients who received RT + ICIs (23.0 months) after neurosurgery [117]. ICIs are also effective in increasing OS in patients lacking driver gene mutations in combination with RT [118]. ICI therapies in combination with RT also show a better intracranial response in NSCLC BrM patients without driver gene mutations [118].
There is reported evidence that despite stopping ICI treatment prematurely, patients continue to benefit from initial therapy and display primary tumor regression with no increase in BrM lesions [119]. Kakimoto et al. present a case report of a 69-year-old Japanese woman with giant cell carcinoma, a subtype of large cell carcinoma, with 2 brain metastases (BrMs) without any neurological symptoms [119]. The patient was initially treated with SRS for the BrM, and as the primary tumor showed high PD-L1 expression (75%), anti-PD-L1 (pembrolizumab) was administered every 3–4 weeks for 4 cycles [119]. At the end of the 4 cycles of treatment, the tumor reduced in size by 80.0% [119]. The patient experienced renal dysfunction after 4 weeks of treatment, and treatment was discontinued [119]. Twelve weeks after discontinuation of treatment, renal function was restored to normal without the use of corticosteroids [119]. Despite the discontinuation of ICI therapy, the primary lung tumor continued to regress, while the BrM remained well controlled [119]. The patient chose to undergo salvage therapy to remove the residual primary tumor in the lung, which under microscopy, revealed no tumor cells, just inflammation and residual scarring [119]. Koch et al. present a case series of 3 patients with symptomatic BrM from NSCLC [120]. The patients were treated with local ablation of BrM followed by neoadjuvant immunochemotherapy (pemetrexed, cisplatin, and pembrolizumab), and lastly, their pulmonary lesions were resected to eradicate the disease [120]. Despite treatment, one of the patients had progression of disease and passed away after 31 months of initial diagnosis [120]. At the time of submission of the paper, two of the patients remained alive and in good health with PFS and OS of 28 and 35 months, respectively [120].
While there is mounting evidence that IT is becoming the mainstay of treatment in addition to traditional RT in NSCLC BrM, there is some evidence that suggests its addition may only be useful in patients with a large volume of BrM disease. Singh et al. retrospectively examined NSCLC patients with BrM who underwent SRS followed by anti-PD-1 therapy in patients who were positive for PD-L1 antibodies and chemotherapy for those who were negative for PD-L1 antibodies [121]. The group found that the addition of anti-PD-1 therapy did not provide significant benefit for patients regarding OS or lesion response [121]. However, in lesions that were greater in volume (> 500 mm3), the combination of SRS with IT resulted in faster and better volumetric response [121]. They concluded that this would be particularly beneficial in patients with BrM lesions causing mass effects or lesions located in neurologically critical locations, but it may not benefit patients with few BrM lesions [121].
Immunotherapy in small cell lung cancer brain metastases
Small cell lung cancer (SCLC) is a fast-growing and highly aggressive neuroendocrine neoplasm that accounts for 13–15% of lung cancers [71]. Approximately 10–25% of patients with SCLC have BrM at initial diagnosis, with more than 50% of patients going on to develop BrM during the course of their disease [122]. The right frontal lobe and the cerebellum are the most common parts of the brain affected by SCLC BrM [74]. The mainstay of treatment for SCLC BrM is the same as NSCLC BrM. However, despite treatment, the 12-month OS rate of SCLC remains low at 39% [123]. IT has become popular in the treatment of SCLC, with a significant increase in OS observed, but there is limited use of IT in SCLC BrM. Here we discuss literature that examines the clinical use of IT in SCLC BrM patients and their outcomes.
Huang et al. investigated the use of anti-PD-1 therapy in combination with multikinase inhibitors in a patient with SCLC BrM [124]. A female patient (59-years old) was initially diagnosed with SCLC after PET-CT and biopsy, with no evidence of BrM [124]. She underwent chemotherapy as well as thoracic RT and prophylactic brain RT. Six months after the end of RT, the patient was seen to have BrM on MRI [124]. She underwent intensity-modulated RT followed by chemotherapy [124]. Maintenance therapy included the PD-1 inhibitor sintilimab with anlotinib (a multi-targeting tyrosine kinase inhibitor). After 5.5 months, there was a failure of treatment with relapsed brain lesions [124]. A different PD-1 inhibitor, toripalimab, combined with anlotinib was started; after two cycles, the relapsed BrM completely disappeared [124]. Another seven cycles of this treatment regimen were given with sustained complete response [124]. Wu et al. present a similar case report with a patient who had stage-III SCLC and developed BrM after concurrent chemotherapy and WBRT [125]. Durvalumab, a PD-L1 antibody, was used as maintenance therapy [125]. Treatment failure occurred with the multifocal reoccurrence of BrM after the second dose of durvalumab [125]. After administration of anlotinib along with durvalumab, near complete regression of BrM was achieved, with no severe toxicity reported [125]. These case reports suggest that failure of one PD-1/PD-L1 inhibitor does not indicate failure of IT altogether and that it is still possible to continue treatment with the same or different PD-1/PD-L1 inhibitor with treatment success. The outcomes of these studies also suggest that there is a synergistic effect of the tyrosine kinase inhibitor, anlotinib, with PD-1/PD-L1 inhibitors.
Wang et al. performed a phase 3 trial comparing the effectiveness of a novel anti-PD-L1 antibody, adrebrelimab, combined with chemotherapy versus placebo + chemotherapy in extensive-stage SCLC patients, including liver and BrM [126]. It was shown that the median OS was significantly increased in the adrebrelimab group (15.3 months) versus the placebo group (12.8 months) [126]. The results of this experiment support the utilization of IT as a first-line therapy for patients with metastatic SCLC [126].
Chang et al., performed a retrospective analysis of SCLC BrM patients treated with chemotherapy and RT versus chemotherapy, RT, and at least four cycles of ICIs (PD-1 inhibitors – nivolumab, toripalimab, tislezlizumab, sintilimab, or camrelizumab and PD-L1 inhibitors – atezolizumab or durvalumab) [127]. The results showed a significant difference in the median OS, which was 13.3 months in the non-IT group and 33.4 months in the IT group [127]. The intracranial objective response rate of the IT-treated patients was more significant than the non-IT group, but the intracranial disease control rate was similar [127].
Immunotherapy in breast cancer brain metastases
Breast cancer (BC) is the second leading cause of BrM, with up to 33% of patients developing BrM [73, 128, 129]. The most commonly affected areas of the brain by BC BrM are the cerebellum and the basal ganglia [37]. BC is traditionally classified based on the presence or absence of hormone receptors (HRs), including estrogen receptor (ER) and progesterone receptor (PR), as well as human epidermal growth factor receptor 2 (HER2). HR-positive BC subtypes account for 60-70% of all BCs and have the lowest incidence of BrM [130, 131]. Patients with HR + BC BrM have an OS of 5–10 months [132,133,134]. Approximately 20–30% of all BCs are HER2+, which have the highest incidence of BrM (31–50%) [130, 131, 135, 136]. If a BC is negative for ER, PR, or HER2 receptors, it is referred to as a triple negative BC (TNBC). TNBC is considered a highly aggressive cancer that proliferates rapidly and is often initially diagnosed at advanced stages. Between 22% and 50% of TNBC patients develop BrM and have 4–5 months OS of patients [130, 131, 133, 137,138,139,140]. Traditionally, treatment modalities for the treatment of BCs have depended on the receptor status of the tumor, thus, it is harder to treat a cancer like TNBC with no receptors to target. Patients with metastatic HER2 + and TNBCs have a predisposition for the tumor to metastasize to the brain compared to HR + and HER2− BCs [141].
Biomarkers for breast cancer brain metastases
In order to effectively treat BC BrM, it is important to examine the tumor immune microenvironment and identify markers predictive of response to IT. Ogiya et al. analyzed primary breast tumors and pair-matched BrM to assess for the difference in various biomarkers [142]. There were significantly more TILs in the primary breast tumors versus the BrM tissues [142]. The primary breast tumor also featured higher CD4+, CD8+, and forkhead box P3 protein (FOXP3) positive cells [142]. In TNBC, low TIL numbers correlated with decreased OS, compared to high TIL numbers [142]. Routh et al. conducted a similar analysis of immune biomarkers in patients with TNBC. Compared to primary breast tumor tissue, BrM displayed a higher TMB, with tumor protein 53 (TP53) altered in 50% of patients [137]. Neoantigen prediction displayed high levels of endogenous retrovirus-derived MHC class I-binding peptides in both primary and BrM tumors and further predicted significantly higher single-nucleotide variant-derived peptides in BrM compared to primary tumors [137]. BrM also had decreased immune gene expression, with reduced T and B cell receptor diversity compared to pair-matched breast tumor tissue [137]. These results proved the potential of IT vaccines or ICIs in the treatment of TNBC BrM, with further scope for investigation [137].
Chehade et al. evaluated the intracranial efficacy of IT in BC BrM patients by analyzing the expression of PD-L1 in BrM tissues (PD-L1 is a predictive biomarker for IT response) [141]. In this study, positive PD-L1 expression was defined as PD-L1 ≥1% [141]. PD-L1 expression was observed in 25.0% of TNBC, 21.4% of HER2+/HR− BCs, 11.1% in HR+/HER2− BCs, and 7.1% in HER2+/HR + BCs [141]. The 24-month CNS-specific PFS was 66.7% in patients having PD-L1 expression versus 42% in PD-L1 negative BrM patients [141]. These results warrant further study into the efficacy of intracranial IT in TNBC BrM, which is paradoxically historically poorly responsive to extracranial IT, despite it having the highest PD-L1 expression among the BrM tissue samples [141, 143].
Breast cancer brain metastases treatment with immunotherapy
Yokoi et al. examined the effectiveness of induction and activation of tumor-residing conventional type-1 dendritic cells (cDC1s), which were required for the production of CD8+ T cells that regress mammary tumors and potentiate the therapeutic efficacy of anti-PD1/PD-L1 in a mouse model of TNBC, which is historically poorly responsive to IT [143]. The orthotopic mammary tumors were established with subsequent BrM and then they were treated with in-situ immunomodulation (ISIM). It consisted of intratumoral injections of Fms-like tyrosine kinase receptor 3 ligand (Flt3L), which activates the proliferation of stem and progenitor cells by binding with the Flt-3 receptor to mobilize cDC1s, local irradiation, and TLR3/CD40 stimulation to activate cDC1s [143, 144]. ISIM treatment increases circulating T cells and infiltration of CD8+ T cells into the BrM tumors, which decreased the BrM progression and thus improved the OS [143]. Moreover, anti-PD-L1 monotherapy was inefficacious against BrM, but ISIM treatment helped overcome the anti-PD-L1 resistance, which made the tumor become responsive to anti-PD-L1 therapy, improving OS [143]. These results showcase the potential therapeutic application of IT in TNBC patients with advanced metastatic disease.
The therapy strategy for BC patients with metastatic disease remains challenging in HR + BC because of endocrine resistance, which is inevitable in ER + metastatic BCs. This is driven by ligand-independent ER reactivation, which can be modulated by gain-of-function mutations, altered interaction of ERs with their respective coactivators/corepressors, or via engagement of compensatory crosstalk among ERs, oncogenic signaling pathways, and growth factor receptors [145, 146]. Wu et al. present a case report of a patient with ER + BC with BrM, who benefited from combined anti-estrogen and IT agents, post-endocrine therapy [147]. After endocrine therapy, the patient had relapsed BC with ovarian metastatic lesions and BrM [147]. She underwent surgical resection of the ovarian lesions and then received three cycles of chemotherapy [147]. The brain lesions were unchanged in response to the chemotherapy, so chemotherapy was discontinued [147]. High T cell receptor expression was observed in the tumor, so the researchers administered the anti-estrogen drug letrozole with anti-PD-1 therapy, pembrolizumab [147]. The patient experienced a partial response and had PFS for over 21 months [147]. These results indicate that concurrent ICI therapy with anti-estrogen agents is a promising treatment option for endocrine-resistant ER + BC with BrM.
Immunotherapy in other types of brain metastases
Colon cancer
Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality [148]. Approximately 50% of CRC patients develop metastases, with BrM representing 4–6% of all metastases cases [149, 150]. Like for other types of BrM, the traditional treatment is RT, either SRS or WBRT, and in rare cases, chemotherapy (Figs. 2 and 3). The OS of patients with CRC BrM ranges from 2 to 15 months [151]. In the past, trials with IT to treat CRC BrM have had limited therapeutic success. Thus, there is room for new IT modalities in CRC BrM patients.
One study employed the use of a gamma retroviral replicating vector that encodes for a cytosine deaminase (CD), Toca 511, to selectively infect malignant CRC BrM tumor model cells [152]. The encoded CD protein was expressed in infected cells and converted the administered an oral anti-fungal prodrug, 5-fluorocytosine (5-FC) to an anti-cancer drug, 5-fluorouracil (5-FU). This system allows higher levels of 5-FU to be generated directly at the site of the tumor than systemic administration of 5-FU [152]. Toca 511 and 5-FU have been found to have immunotherapeutic effects that target myeloid-derived suppressor cells (MDSCs) [152]. MDSCs are attracted via tumor-mediated signals and subsequently mature in the TME [153,154,155,156]. Some studies have shown that MDSCs modulate cancer cell immune evasion via suppressing the immune anti-tumor response through multiple mechanisms [157]. 5-FU has been shown to deplete MDSCs, thus the use of Toca 511 and 5-FC would theoretically produce a higher local dose of 5-FU in the TME, depleting immune-suppressive cells and boosting the tumor immune system [152, 158]. The study found that the combined use of 5-FC and Toca 511 had significantly decreased MDSCs in CRC tumors in the brain and liver [152].
Kidney cancer
In renal cell carcinoma (RCC), BrM occurs in 8–16% of advanced cases and is associated with a median OS of 5 to 13 months [159,160,161,162,163,164]. The OS of patients has improved within the past decade as TT, such as tyrosine kinase (VEGF receptor) and rapamycin inhibitors, have demonstrated PFS, along with more aggressive use of local BrM therapy [165,166,167,168,169]. Despite the advances in IT, surgery and radiation remain the cornerstones of treatment. However, there is a drive to discover other therapeutic modalities that can diminish disease and prolong survival.
IT has demonstrated some efficacy in RCC BrM in recent years; a retrospective study examining the impact of nivolumab monotherapy in RCC patients having BrM demonstrated a limited intracranial response rate of 12% to treatment [170]. Combined IT and SRS treatment in RCC BrM has shown more success, such as in the retrospective analysis conducted by Uezono et al., where they determined that the median OS was considerably higher in the SRS & IT group at 27.2 months compared to 14.9 months in the SRS monotherapy group [171]. A decreased dose of ionizing radiation (2 Gy decrease) used in the combined SRS & IT group demonstrated the same efficacy in lesion control of BrM compared to the SRS group, with no increased risk of CNS toxicity [171]. Chen et al. further examined whether the timing of ICI affected the outcome. The study investigated the efficacy of concurrent SRS & ICI (ipilimumab, nivolumab, and pembrolizumab) versus nonconcurrent SRS & ICI versus SRS alone in patients with NSCLC BrM, MBrM, and RCC BrM [172]. The study parameters defined concurrent ICI as ICI given within 2 weeks of SRS [172]. Chen et al. observed that concurrent SRS & ICI predicted a decreased propensity for developing 3 or more new BrMs [172]. The median OS for concurrent SRS & ICI was by far the most at 24.7 months, compared to 12.9 months and 14.5 months for the SRS monotherapy and nonconcurrent SRS & ICI therapy group, respectively [172]. These studies demonstrate that IT has established itself as a cog in the wheel of treatment for RCC BrM with superior response in combined therapy with SRS versus monotherapy. Further development of new ITs is needed to continue to test the boundaries of treatment (Figs. 1 and 3).
Alternative immunotherapies in brain metastases treatment
CAR-T cell-based immunotherapy has shown marked benefits in hematologic malignancies like leukemia and lymphoma [173,174,175,176]. However, there has been limited success in developing CAR-T cell therapeutic models for solid tumors. One study reported the use of CAR-T cells targeting B7 homolog 3 protein (B7-H3), an immune checkpoint molecule, in vivo in xenotransplant models of orthotopic and metastatic NSCLC [177]. B7-H3, also known as CD 276, is highly expressed in tumor cells [178]. In normal human tissues, B7-H3 mRNA is widely expressed; however, a restricted expression of B7-H3 protein has been reported [177]. High expression of B7-H3 has been implicated in lowered survival, increased recurrence rate, and decreased prognosis in various cancers, including lung cancer, breast cancer, and brain tumors, among others [179,180,181,182]. It has been found that CAR-T cells can be engineered to migrate toward tumors by using chemokine gradients; this method can also be used to overcome the BBB [177, 183]. CCL2 is the most highly expressed gene in NSCLC and BrM that codes for the CCL2 chemokine [177, 184]. The C-C chemokine receptor type 2 (CCR2) is present on T cells and is the receptor for the CCL2 chemokine. The group leveraged the CCL2/CCR2 axis by engineering T cells that overexpressed the CCR2b receptor (an isoform of CCR2, which caused superior migration of T cells towards the CCL2 gradient). The group constructed a bicistronic vector encoding B7-H3.CAR and CCR2b. The study found that the co-expression of CCRb and B7-H3 in CAR-T cells significantly improved the capability of the T-cells to pass the BBB, subsequently augmenting antitumor activity in mouse models of NSCLC BrM lesions [177]. This indicates that there is scope to perhaps utilize T-cell chemotaxis to treat NSCLC BrM patients in the future.
A preliminary study reported the use of CAR T-cell-based IT in HER2 BC BrM in xenograft mouse models [185]. The HER2-CAR T-cells were optimized with protein cluster of differentiation 28 (CD28) or receptor tumor necrosis factor ligand superfamily member 9 (4-1BB), and then functional activity was evaluated through cytokine measurement, T-cell proliferation, and tumor-killing capability [185]. HER2-CARs with the 4-1BB costimulatory domain were better at targeting tumors, had decreased T-cell exhaustion, and augmented proliferation capacity in comparison to HER2.CARs with the costimulatory CD28 domain [185]. Robust in vivo antitumor activity was observed in the treatment of multifocal BrM after intraventricular delivery of HER2.CARS T cells in mouse models [185]. This rudimentary study provides reasoning for the development of CAR T-cells in the treatment of BC BrM in humans in the future.
The use of dendritic cells in IT has gained some popularity, with novel approaches to the treatment of BrM. One such therapy is adoptive T-cell transfer (ATCT) therapy, which uses recombinant adeno-associated viruses transfected dendritic cells that encode 1 or more tumor-specific antigenic determinant genes, which in turn activate T lymphocytes to generate cytotoxic lymphocytes (CTLs) [186,187,188]. The CTLs are equipped to lyse tumor-associated antigen (TAA)-positive malignant cells [189]. A preliminary study reported the use of ATCT therapy in 3 NSCLC (adenocarcinoma) patients with BrM in China [189]. The study used TAAs, carcinoembryonic antigen, and prostate-specific membrane antigen as targets of ATCT treatment because these antigens were expressed in the tumor tissues of all 3 patients [189]. The patients received 4 cycles of ATCT treatment (once every 2 weeks) [189]. MRI of the brain was done 1 month after ATCT infusion treatment, which showed BrM had completely disappeared [189]. Of the 3 patients, 2 were living at the end of the study, with respective OS of 40 and 25.3 months, while 1 passed away and had an OS of 26.7 months [189]. The surface expression of CD69 on T lymphocytes is an early marker of activation, the expression of which is seen to be upregulated after the activation of T lymphocytes [189,190,191]. Upon analysis of the patient’s T lymphocytes after each infusion, there was a clear trend of increasing the percentage of CD69+ CD8+ cells [189]. This rudimentary study invites room for further research into the use of ATCT therapy in patients with NSCLC BrM.
Dendritic cells have also been employed in MBrM treatment. One case report describes the use of autologous tumor-lysate-loaded dendritic cells (TL-DC) injected intradermally in the treatment of MBM in a patient [192]. The 44-year-old MBrM patient was initially treated with GKRS for her BrM [192]. She then also received four injections of Melanoma-associated antigen 3 (MAGE-A3 - a well-known cancer-testis antigen, a group of antigens that are originally expressed in male germ cells in adults but in cancer are common tumor antigens), as part of a clinical study LUD01-006 [192]. Unfortunately, because of rapid progression, the patient was removed from the study and was subsequently treated with autologous TL-DCs on a compassionate-use basis [192]. The patient has continued to routinely receive TL-DCs injected once a month, for a total of 133 vaccines up until the submission of the case report [192]. The patient remains in complete remission 10 years after combined treatment [192]. This remarkable case indicates that despite a grim prognosis and recurrence of cancer, IT in the form of dendritic cell injections can eradicate BrM in conjunction with combined RT.
Dendritic cell injection has also been used in metastatic RCC as an immune enhancer. The basis of this treatment was cross-priming, where infected dendritic cells initially secrete inflammatory factors that activate and recruit non-infected bystander dendritic cells [193]. The group synthesized a cellular adjuvant that contained pre-activated dendritic cells that produced high levels of dendritic cell activating and recruiting factors [193]. The dendritic cells were injected directly into the renal tumor twice at a two-week interval, with a planned nephrectomy. This clinical study of 12 patients initially excluded patients with BrM, but one patient developed BrM during follow-up treatment [193]. The patient with BrM, after treatment with the dendritic cell injection and subsequent initiation of sunitinib (multiple receptor tyrosine kinases inhibitor) treatments, notably had complete disappearance of all four brain lesions, with continued response to treatment 38 months after [193]. This indicates that in the near future, pro-inflammatory allogeneic dendritic cells can be extracted from healthy blood donors and later deep-frozen to be used in patients as immune enhancers.
Brain microenvironment in the modulation of immunotherapy response in primary brain neoplasm versus brain metastases
Recent research on the BrM-induced tumor microenvironment interrogation revealed a distinct population of immune cells, including infiltrating macrophages, tissue-resident microglia, T-cells, and neutrophils (Fig. 2A) [194,195,196]. In both primary brain neoplasms, like glioblastoma and glioma, and BrM, underlying biological processes enhance tumorigenicity and metastases. BrM and primary brain malignancies differ in the cell composition of the TME, which can influence the IT efficacy. BrM have a higher number of lymphocytes and neutrophils, while primary brain neoplasms like gliomas have a higher number of myeloid cells [194]. Gliomas are classified based on the mutational status of isocitrate dehydrogenase (IDH), which may act as an inhibitor of T cell activation when mutated by producing oncometabolite 2-hydroxyglutarate [197]. Tumor-associated macrophages, including monocyte-derived macrophages and tissue-resident microglia, are found in abundance in gliomas, while T cell numbers were lower, especially in IDH mutant tumors, in comparison to BrM [194]. This provides evidence that gliomas are immunologically cold tumors, meaning they are unlikely to trigger a strong response by the immune system, even if primed by immunotherapy since they contain few T cell numbers [198].
Cancer as well as immune cell metabolism are key factors for determining the functioning and efficacies of ITs [199, 200]. It is widely accepted that the tumor cells’ aberrant metabolic requirements lead to a nutrient scavenged microenvironment, which eventually challenges the activation and proper functioning of immune cells (Fig. 4) [199]. Thus, it is imperative to characterize the metabolic requirements of various immune cell subsets. It will enhance understanding the essential role of TME in the functioning of immune cells and simultaneously leverage the needed information to design therapeutic interventions. Nutrient availability is unique in various organs; therefore, metastatic cancer cells migrating to the brain need to reorganize their metabolic nodes to come in parallel with the metabolic flux at the metastatic niche [201]. Lipids, serine, and glycine are some scarce nutrients that compel cancer cells to make them de-novo [202, 203]. The availability of immune cells surrounding BrM allows for anti-tumor activity, but the struggle for nutrients with metabolically enhanced tumor cells sheds misfortune on immune cell metabolism for their anti-tumor activity (Fig. 4). CD4+ T-cells infiltration is high in lung cancer BrM and CD8+ T cells are high in melanoma-derived BrM. However, the status of CD4+ T cells is anergic, and CD8+ T cells is exhaustive and have PD-1 upregulated. Treg cells have also been characterized in BrM, but they are considerably low in melanoma BrM compared to breast and lung cancer BrM [194]. The energy source for T cells in early effector function, cytokine production, proliferation, and mitochondrial biogenesis include glucose, glutamine, acetate, glutamate, arginine, and serine [194, 204,205,206,207,208,209,210,211]. Methionine also helps in regulating the Th17 inflammatory potential and protein synthesis in T cells [212, 213]. Fatty acids, as well as tryptophan, kynurenine, and itaconate, are also among some of the metabolites that are involved in the proliferation of the T-cells production of proinflammatory cytokines and also aid in the suppression of Treg cells in the TME [214,215,216,217,218,219,220]. Serine, glycine, and fatty acids are limited in the brain TME for cancer cells; thus, they must reprogram their metabolism so that they either make these metabolites de-novo or use alternate pathways that are independent of these scarce metabolites [202, 203]. Both glucose and glutamine are plentiful in the brain, but these metabolites are rapidly used by tumor cells; thus, T cells adopt different metabolic pathways for sustenance, but this eventually leads to either an erroneous immune response or serves to completely dampen it [221]. BrM cells are highly glycolytic; thus, lactate production is another reason for immunosurveillance failure leading to overt metastasis [222, 223]. Interestingly, when in-vivo TILs were isolated and analyzed for the effector function, it was found to be poor. In these T cells oxidative phosphorylation (OXPHOS) was inhibited, and loss of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α), was linked to modulating the inhibition of OXPHOS. Therefore, upon ectopic expression of PGC1α, the cytotoxic activity of the TIL was restored, implying that OXPHOS could also play a major role in immunity [224]. Another aspect that could play a role in BrM is mitochondrial dynamics, where aberrant fission and fusion could also dampen the immunity, however, this has yet to be explored in context of BrM [225]. Since inflammation drives BrM and succinate is a metabolite that modulates the inflammatory pathway, there is cause to believe that interference caused by the inhibition of various complexes of the electron transport chain can yield targets that could eventually enhance the therapeutic response of the immune checkpoint blockade [226]. To enhance ICIs, dietary formulations are now aggressively being tried in different cancer settings [221]. It has been found that hypocaloric, ketogenic, and low protein isocaloric diets are correlated with increased TIL, corroborating with ITs to target malignancies [221].
Metabolic milieu of tumor microenvironment and its impact on the functioning of immunotherapies or T cells. (A) Metabolic struggle and/or metabolic reprogramming transpire between various tumor-infiltrating immune cells and tumor cells. Both T cells and tumor cells preferentially utilize glucose to meet their energy demands. Due to high proliferation potential and high energy needs, tumor cells metabolize most of the glucose through aerobic glycolysis and produce high levels of lactic acid (lactate) in the TME, thereby, decreasing glucose availability for immune cells. The lactate-enriched and glucose-deprived TME impairs T cell functioning, recruits more (regulatory T cells) Tregs, and polarizes microglial cells towards a pro-tumorigenic phenotype and tumor-associated macrophages (TAMs). There is further competition for amino acids, including glutamine/glutamate and tryptophan between T cells, myeloid-derived suppressor cells (MDSCs), and tumor cells. The availability of these amino acids in the TME that modulate T cell-mediated immune response, such as kynurenine (a product of tryptophan catabolism) produced by indoleamine 2,3-dioxygenase 1 (IDO1) present in tumor cells, MDSCs, and TAMs blocks activation of T cells and promotes the recruitment and production of immunosuppressive Treg cells. The brain microenvironment has high glutamine and tryptophan; therefore, tumor cells easily adapt to the brain microenvironment utilizes these amino acids for their growth and development. Lactate production in the TME also increases the expression of PD-1 on T cells and PD-L1 on tumor cells and suppresses the activity of immune cells. (B) The immunotherapeutic response of ITs could be enhanced by targeting the various metabolic regulators of tumor cells and immune cells. The utilization of inhibitors that specifically target glucose transporters (GLUT1), lactate production, IDO1 activity, and glutamine utilization in tumor cells could be a potential therapeutic strategy to enhance the efficacies of ITs in brain metastasis.
Leptomeningeal metastasis: a clinically important entity of brain metastases
Leptomeningeal metastasis (LM) is a distinct and clinically relevant subset of BrM that is defined by cancer cell infiltration into the cerebrospinal fluid (CSF), arachnoid space, subarachnoid space, and pia mater [227, 228]. There are four possible routes of LM including spread from BrM, hematogenous invasion, spread from spinal and cranial nerves, and metastasis from the perivascular lymphatic pathway [229]. LM is diagnosed in 10% of patients with metastatic disease from solid tumors [230,231,232,233]. The primary cancers associated with the highest LM are BC (11–64%), followed by LC (14–29%), and melanoma (6–18%) [234]. BC accounts for most cases of LM because of its high incidence, with 2.26 million new cases worldwide every year, according to cancer statistics by GLOBOCAN [235]. Historically LM patients have low survival, ranging from 4 weeks to 6 weeks if untreated, with median OS reaching 3 to 6 months after systemic therapies [231, 236]. The traditional treatment therapies for LM include WBRT, intrathecal treatment (via Ommaya reservoir or lumbar puncture), and tyrosine kinase inhibitors [237].
IT to treat LM is an emerging therapy that has shown modest success. A phase 2 trial using pembrolizumab (anti-PD-1) in patients with LM from primary BC and NSCLC, among other cancers, showed an improved median OS of 3.6 months, exceeding the primary endpoint goal of 3 months [238]. All patients received prior systemic therapies, including RT or surgery [238]. Of the 20 patients who underwent pembrolizumab therapy, 12 were alive at 3 months after initial enrollment [238]. A similar phase 2 trial also examined the safety and efficacy of pembrolizumab in LM patients and found a modest improvement in median CNS progression-free survival of 2.9 months and median OS of 4.9 months, with a CNS response rate of 38% [239]. Another phase 2 trial examining the efficacy of combined ipilimumab and nivolumab in LM found that this treatment regimen was effective in prolonging median OS to at least 3 months, with 8 out of 18 patients surviving until that endpoint [240]. The median follow-up was 8.0 months, based on patients that were still alive [240]. These clinical trials show that while IT does increase median OS in LM compared to untreated LM, there is not a marked difference in OS between patients treated with IT after systemic therapies versus traditional treatment alone. This can partially be attributed to the lack of clinical trials of IT used in LM patients, as well as perhaps, the application of treatment. A phase 1 trial (NCT03025256), with interim results published, showed that intrathecal administration of nivolumab, with the addition of subsequent intravenous administration in patients with LM originating from melanoma had a median OS of 4.9 months [241, 242]. This unique approach of dual administration of therapy shows promising results, with ongoing accrual of more patients, including patients with LM from lung cancer [241, 242]. Overall, the use of IT in LM so far does not display the same robust response seen in BrM. One reason for the lack of robust response of LM to IT compared to BrM could be due to the differences in the immune microenvironment. Within the leptomeninges, T-lymphocytes are immunologically disparate from the T-lymphocytes found in pair-matched BrMs [243]. They express an enhanced immunosuppressive phenotype [243]. Furthermore, the CSF contains dysfunctional CD8+ T cells and CD4+ T cells that do not adequately respond to ICI therapy [243, 244].
There are ongoing clinical trials that are further pushing the boundaries of IT in LM patients. One such trial is NCT04356222, which is examining the efficacy of durvalumab (anti-PD-L1) in combination with intrathecal chemotherapy in NSCLC LM patients. Another clinical trial, NCT03719768, is employing the use of avelumab, an FDA-approved IT for metastatic Merkel cell carcinoma and advanced urothelial carcinoma, in combination with WBRT (Table 1).
Thought-provoking facts for drug resistance, immunotherapy, and brain metastases
The brain is a protected organ for hiding the metastatic cells that evade systemic therapies, and this is the primary reason for drug resistance incidences in patients treated with systemic therapies or IT. Therefore, subsequent progression of BrM is not uncommon [245]. The precise mechanisms for drug resistance, including IT drug resistance, are not well understood even in primary tumors, and almost no information is available for therapeutic resistance in BrM [25, 246]. An interesting study on LC BrM suggests that drug resistance is an independent event in BrM, which can develop without drug treatment [247]. The immune-suppressive TME of the brain is a major factor that limits the efficacy of IT or systemic therapies and further generates conditions of therapeutic resistance [248,249,250]. Recently, Niesel et al. demonstrated the higher efficacy of RT + IT (WBRT + anti-PD-1) in BC BrM, where T-cell therapies fail to show an anti-tumor immune response [250]. The BrM lesions showed the accumulation of T-cells expressing PD-1, whereas recruited myeloid cells and tumor cells showed high PD-L1 expression, and eventually, anti-PD1 monotherapy did not show efficacy and became non-responsive. RT modulated the tumor immune microenvironment (TIME), increased the infiltration of CD8+ T cells, and prolonged median survival in BC BrM experimental models [250]. It has been shown that the combination of RT + IT prevented the activation of compensatory inhibitory mechanism(s) responses observed in BrM cases that were non-responsive to IT (anti-PD-1) alone. The outcomes of the study suggest that RT facilitates the recruitment of myeloid cells and sensitizes BrM to IT, and it also provides a rationale to test other IT drug(s) in combination with RT and/or systemic therapies to elicit the prominent immune response in BrM patients showing acquired resistant to ITs. One study examined the failure of ICIs in patients with advanced NSCLC, of which 45% had BrM, and found that the use of combined chemotherapy (paclitaxel) with a VEGF inhibitor (bevacizumab) is an appropriate salvage therapy option [251]. The median OS after salvage therapy in patients was 10.8 months, while the median PFS was 5.7 months [251]. Interestingly the median PFS for patients treated with salvage therapy after ICI failure was significantly superior to those not treated with previous ICI, at 7.0 months versus 5.2 months, respectively [251]. However, the use of previous ICI was not associated with increased OS after salvage therapy compared to patients that had not previously received ICI therapy [251]. This study proves that while IT can fail in advanced disease, its previous use is still beneficial to patients treated with subsequent salvage therapy.
Concluding remarks and the future of immunotherapy in brain metastases
It is evident that IT is evolving as a promising approach to treating BrM from various primary tumors. Multiple immunotherapeutic drugs have been evaluated and are currently under active clinical trials (Tables 1 and 2). However, the vulnerabilities of BrM developed from specific tumor types towards a specific immune monotherapy or combined with radiation and/or chemotherapy or salvage therapy remain to be translated. The barriers to treating BrM tumors are different compared to primary tumor types showing frequent BrM, including melanoma, breast, colorectal, renal, and lung cancer as the brain has additional protective layers for any foreign molecule or invaders, and one of them is the BBB, with the second being the immune privileged microenvironment, which might not be the case in most primary tumors [25, 247].
As far as the drug delivery problem is concerned, the future of IT in BrM hinges on new and exciting drug delivery systems that are more precise to sites of high tumor burden. In recent times, the use of nanoparticle-based drug delivery systems is an avenue that is vigorously being explored in various diagnostics and treatment settings [252]. One study investigated the use of tumor-targeting enGeneIC dream vector (EDV) nanocells that function as IT, by delivering a cytotoxin along with immune system activation [253]. The nanocells activate natural killer cells and polarize M1 macrophages, while concurrently secreting Th1 cytokines, resulting in an antitumor immune response [253]. The nanocells induced antigen presentation and dendritic cell maturation, which generated CD8+ T cells specific to the tumor [253]. EDV is superior to current IT because immune cell activation occurs primarily at the tumor site [253]. It elicits the priming of multiple aspects of the immune environment and is particularly advantageous in patients showing scant tumor immune response [253]. The unique properties of these nanocells could be utilized for developing IT carriers that show high specificities towards brain cells or the microenvironment and can penetrate the BBB.
Another potential avenue is drug repurposing, a strategy for identifying and employing drugs that have been approved for use in one type of clinical scenario, for another disease or clinical purpose. One such study examined repurposing the pro-senescence properties of doxorubicin, a chemotherapy drug, to introduce IT in BC BrM in mouse models [254]. Doxorubicin typically works by stopping cancer cell growth by blocking the enzyme topoisomerase 2, which is essential for resolving knots in DNA by forming double-stranded breaks and then re-ligating the DNA strands. The study found that inducing senescence of BC BrM cells by liposomal-doxorubicin (which can cross the BBB) triggers the recruitment of PD-1 expressing CD8+ T-cells to the brain, where they can be employed to fight tumor cells aided with PD-1 inhibitors [254]. This study provides scope for further research in using doxorubicin in conjunction with ITs to widen their clinical lens in BC BrM.
Currently, several clinical trials are in progress to expand the use of IT in BrMs. One such trial is NCT03696030, a phase I study investigating the use of intraventricular introduction of HER2.CAR T-cells in the treatment of BrM and leptomeningeal spread of recurrent cancer. Several dendritic cell vaccine trials are underway for the treatment of BrM. The clinical trial (NCT04348747) aims to examine the use of dendritic cell vaccines against HER2/HER3 along pembrolizumab treatment for BrM from TNBC or HER2 + BC. Another dendritic cell vaccine phase I trial (NCT02808416) has been completed, which is unique for its use of mRNA-encoded tumor antigens to treat patients with BrM. The NCT03638765 clinical trial investigated the use of a dendritic cell vaccine for BrM from BC or LC via direct administration to BrM through the Ommaya reservoir, a ventricular access device used for the repetitive access of the intrathecal space [255]. The NCT02774291 clinical trial examined the use of Anti-ESO (Cancer/​Test Antigen) mTCR (T-cell receptor)-transduced autologous peripheral blood lymphocytes and with chemotherapy combination for treating patients with metastatic cancer that expresses New York esophageal squamous cell carcinoma 1 (NY-ESO-1), which is an immunogenic peptide generated from the cancer-testis antigen. This trial specifically examined HLA-A2 + BrM. Lastly, memory-like natural killer cells in combination with nivolumab and relatlimab are being examined in clinical trial NCT05629546 in patients with advanced or metastatic melanoma, including patients with stable BrM. Memory-like natural killer cells are more flexible and aggressively respond to tumor targets [256].
In addition, the utilization of the metabolic axis both for cancer cells and immune cells (immunometabolism) in combination with IT drug(s) is an emerging potential therapeutic approach to treat BrM. Both cancer and immune cells are highly dependent on the availability of nutrients or metabolites, such as glutamine, glucose, arginine, and asparagine [257, 258]. Some molecules, such as glucose, glutamine, or asparagine, are required for T-cell differentiation or activation. In contrast, metabolites such as lactate and kynurenine promote Treg or exhaustion of effector T cells, thus building an immunosuppressive TME (Fig. 4A) [257, 258]. The metabolic reprogramming in cancer cells utilizes most of the glutamine, tryptophan, or glucose from TME and secretes lactate and kynurenine to the TME [258, 259]. It is imperative to utilize drug(s) or small molecule inhibitors that specifically target or restrict cancer cells to utilize glutamine, tryptophan, or glucose from TME, so that these biomolecules will be available to foster the recruitment, differentiation, and activation of immune cells in the brain microenvironment. Pro-drugs targeting specific metabolism or metabolite only in cancer and leaving T cells and/or normal brain cells unscathed could be another viable option whereby T cells are activated to kill the starved brain metastatic tumor cells. In addition, the combination strategies employing the use of RT/SRC with particular IT drug(s) that specifically target the metabolism of cancer cells could be a viable therapeutic option for treating BrM (Figs. 3 and 4). Another important but undermined axis is the role of the patient’s gut microbiota or the metabolites from the patient’s microbiota on the modulation of tumor immune response or gut-brain axis. It is well perceived now that metabolites derived from microorganisms have immense immunomodulatory effects, such as that short-chain fatty acid (butyrate and pentanoate) regulate the functioning of Tregs, CD8+ T cells, and modulate the anticancer immune response of cancer ITs [260,261,262,263]. Furthermore, recently it has been shown that the infusion of Ruminococcus, Eubacterium, Bacteroides, Akkermansia, and microbiome-encoded peptidoglycan help determine the response of CD19-CAR-T cancer immunotherapy and is also useful in segregating long-term responders from non-responders [263]. Nonetheless, whichever avenues are pursued for developing future immunotherapeutic modalities for targeting BrM, the desirable upshot would be a synergizing drug(s) and/or RT with current ITs to develop a personalized or TT that can elicit a favorable antitumor immune response in difficult-to-treat patients with BrM.
Data Availability
Not applicable, all information in this review can be found in the reference list.
Abbreviations
- 5-FC:
-
5-fluorocytosine
- 5-FU:
-
5-fluorouracil
- ATCT:
-
adoptive T-cell transfer
- ADCs:
-
antibody-drug conjugates
- B7-H3:
-
B7 homolog 3 protein
- BBB:
-
blood-brain barrier
- BrM:
-
brain metastasis
- BMFS:
-
brain metastasis-free survival
- BC:
-
breast cancer
- CNS:
-
central nervous system
- CAR:
-
chimeric antigen receptor
- CRC:
-
colorectal cancer
- CT:
-
computed tomography
- cDC1s:
-
conventional type-1 dendritic cells
- CD:
-
cytosine deaminase
- CTLs:
-
cytotoxic lymphocytes
- CTLA-4:
-
cytotoxic T-lymphocyte-associated protein 4
- ECOG:
-
Eastern Cooperative Oncology Group
- EDV:
-
enGeneIC dream vector
- EGFR:
-
Epidermal growth factor
- ER:
-
estrogen receptor
- F1t3L:
-
Fms-like tyrosine kinase receptor 3 ligand
- FOXP3:
-
forkhead box P3 protein
- GKRS:
-
gamma knife radiation surgery
- GLUT1:
-
glucose transporters
- HR:
-
hormone receptor
- HER2:
-
human epidermal growth factor receptor
- ICI:
-
immune checkpoint inhibitor
- IT:
-
immunotherapy
- ISIM:
-
in situ immunomodulation
- IDO1:
-
indoleamine 2,3-dioxygenase 1
- iLPFS:
-
intracranial Local Progression-Free Survival
- IC-PFS:
-
intracranial progression-free survival
- IDH:
-
isocitrate dehydrogenase
- IV:
-
intravenous
- KRAS:
-
kirsten rat sarcoma viral oncogene homolog
- LC:
-
lung cancer
- LM:
-
leptomeningeal metastasis
- MRI:
-
magnetic resonance imaging
- MHC:
-
major histocompatibility complex
- MBrM:
-
melanoma brain metastasis
- MAGE-A3:
-
Melanoma-associated antigen 3
- MAPK:
-
mitogen activated protein kinase
- MEK:
-
mitogen-activated protein kinase kinase
- MDSCs:
-
myeloid-derived suppressor cells
- NY-ESO-1:
-
New York esophageal squamous cell carcinoma 1
- NSCLC:
-
non-small cell lung cancer
- OS:
-
overall survival
- OXPHOS:
-
oxidative phosphorylation
- pCR:
-
pathologic complete response
- ERK:
-
extracellular signal-regulated kinase
- POLE:
-
polymeraseε
- PET-CT:
-
positron emission tomography-computed tomography
- PR:
-
progesterone receptor
- PD-1:
-
programmed cell death protein − 1
- PD-L1:
-
programmed death-ligand 1
- PFS:
-
progression free survival
- PGC1α:
-
proliferator-activated receptor gamma coactivator 1-alpha
- RT:
-
radiotherapy
- RET:
-
Rearranged during transfection
- Tregs:
-
regulatory T cells
- SCLC:
-
small cell lung cancer
- SRS:
-
stereotactic radiosurgery
- RSRS:
-
surgery/radiosurgery
- TCR:
-
T cell receptor
- TT:
-
targeted therapy
- TNBC:
-
triple negative BC
- TAMs:
-
tumor associated macrophages
- TIME:
-
tumor immune microenvironment
- TMB:
-
tumor mutational burden
- TP53:
-
tumor protein 53
- TIL:
-
tumor-infiltrating lymphocyte
- VISTA:
-
V-domain immunoglobulin suppressor of T cell activation
- BRAF:
-
V-raf murine sarcoma viral oncogene homolog B1
- WBRT:
-
whole brain radiation therapy
References
Sperduto PW, et al. Survival in patients with brain metastases: Summary Report on the updated diagnosis-specific graded Prognostic Assessment and Definition of the eligibility quotient. J Clin Oncol. 2020;38(32):3773–84.
Amin S, et al. Association of Immunotherapy with Survival among patients with brain metastases whose Cancer was Managed with definitive surgery of the primary tumor. JAMA Netw Open. 2020;3(9):e2015444.
Nolan C, Deangelis LM. Overview of metastatic disease of the central nervous system. Handb Clin Neurol. 2018;149:3–23.
Fabi A, et al. Brain metastases from solid tumors: disease outcome according to type of treatment and therapeutic resources of the treating center. J Exp Clin Cancer Res. 2011;30:10.
Brain metastases. Nat Rev Dis Primers. 2019;5(1):6.
Kocher M, et al. Adjuvant whole-brain radiotherapy versus observation after radiosurgery or surgical resection of one to three cerebral metastases: results of the EORTC 22952–26001 study. J Clin Oncol. 2011;29(2):134–41.
de Vries NA, et al. Blood-brain barrier and chemotherapeutic treatment of brain tumors. Expert Rev Neurother. 2006;6(8):1199–209.
Liermann J, et al. Stereotactic Radiosurgery with Concurrent Immunotherapy in Melanoma Brain Metastases is feasible and effective. Front Oncol. 2020;10:592796.
Le A, et al. Local and distant brain control in melanoma and NSCLC brain metastases with concurrent radiosurgery and immune checkpoint inhibition. J Neurooncol. 2022;158(3):481–8.
Shanker MD, et al. Stereotactic radiosurgery for melanoma brain metastases: concurrent immune checkpoint inhibitor therapy associated with superior clinicoradiological response outcomes. J Med Imaging Radiat Oncol. 2022;66(4):536–45.
Kirkwood JM, et al. Immunotherapy of cancer in 2012. CA Cancer J Clin. 2012;62(5):309–35.
Janeway CAJ et al. Immunobiology: The Immune System in Health and Disease. Vol. 5th edition. 2001, New York: Garland Science.
Gonzalez H, Hagerling C, Werb Z. Roles of the immune system in cancer: from tumor initiation to metastatic progression. Genes Dev. 2018;32(19–20):1267–84.
Roy P, Orecchioni M, Ley K. How the immune system shapes atherosclerosis: roles of innate and adaptive immunity. Nat Rev Immunol. 2022;22(4):251–65.
Gajewski TF, Schreiber H, Fu Y-X. Innate and adaptive immune cells in the tumor microenvironment. Nat Immunol. 2013;14(10):1014–22.
Han Y, Liu D, Li L. PD-1/PD-L1 pathway: current researches in cancer. Am J cancer Res. 2020;10(3):727.
Stanculeanu DL, et al. Development of new immunotherapy treatments in different cancer types. J Med Life. 2016;9(3):240–8.
Buchbinder EI, Desai A. CTLA-4 and PD-1 pathways: similarities, differences, and implications of their inhibition. Am J Clin Oncol. 2016;39(1):98–106.
Budnar LN et al. [The effect of exposure to magnetics and lasers on the clinical status and the electrophysiological indices of the heart in patients with cardiac arrhythmias]. Vopr Kurortol Fizioter Lech Fiz Kult, 1996(2): p. 5–8.
Santos Apolonio J, et al. Oncolytic virus therapy in cancer: a current review. World J Virol. 2021;10(5):229–55.
Shalhout SZ, et al. Therapy with oncolytic viruses: progress and challenges. Nat Rev Clin Oncol. 2023;20(3):160–77.
Chang G, et al. YTHDF3 induces the translation of m(6)A-Enriched gene transcripts to promote breast Cancer brain metastasis. Cancer Cell. 2020;38(6):857–871e7.
Boire A, et al. Brain metastasis. Nat Rev Cancer. 2020;20(1):4–11.
Maurya SK, et al. Epigenetic alterations fuel brain metastasis via regulating inflammatory cascade. Semin Cell Dev Biol; 2022.
Rehman AU, et al. Liquid biopsies to occult brain metastasis. Mol Cancer. 2022;21(1):113.
Priego N, et al. STAT3 labels a subpopulation of reactive astrocytes required for brain metastasis. Nat Med. 2018;24(7):1024–35.
Chen E, et al. A novel role of the STAT3 pathway in brain inflammation-induced human neural progenitor cell differentiation. Curr Mol Med. 2013;13(9):1474–84.
Korin B, et al. High-dimensional, single-cell characterization of the brain’s immune compartment. Nat Neurosci. 2017;20(9):1300–9.
Bunt SK, et al. Inflammation induces myeloid-derived suppressor cells that facilitate tumor progression. J Immunol. 2006;176(1):284–90.
Parker KH, Beury DW, Ostrand-Rosenberg S. Myeloid-derived suppressor cells: critical cells driving Immune suppression in the Tumor Microenvironment. Adv Cancer Res. 2015;128:95–139.
Hoyer KK, et al. Interleukin-2 in the development and control of inflammatory disease. Immunol Rev. 2008;226:19–28.
Galdiero MR, et al. Tumor associated macrophages and neutrophils in cancer. Immunobiology. 2013;218(11):1402–10.
Filley AC, Dey M. Dendritic cell based vaccination strategy: an evolving paradigm. J Neurooncol. 2017;133(2):223–35.
Chaudhary B, Elkord E. Regulatory T cells in the Tumor Microenvironment and Cancer Progression: role and therapeutic targeting. Vaccines (Basel), 2016. 4(3).
Davies MA, et al. Prognostic factors for survival in melanoma patients with brain metastases. Cancer. 2011;117(8):1687–96.
Patel JK, et al. Metastatic pattern of malignant melanoma. A study of 216 autopsy cases. Am J Surg. 1978;135(6):807–10.
Graf AH, et al. Site preference of metastatic tumours of the brain. Virchows Arch A Pathol Anat Histopathol. 1988;412(5):493–8.
Borzillo V et al. Ipilimumab and Stereotactic Radiosurgery with CyberKnife((R)) system in Melanoma Brain Metastases: a retrospective Monoinstitutional experience. Cancers (Basel), 2021. 13(8).
Chorti E, et al. Leptomeningeal disease from melanoma-poor prognosis despite new therapeutic modalities. Eur J Cancer. 2021;148:395–404.
Glitza Oliva I, Tawbi H, Davies MA. Melanoma Brain Metastases: current areas of investigation and future directions. Cancer J. 2017;23(1):68–74.
Opdualag for metastatic melanoma. Med Lett Drugs Ther, 2023. 65(1668): p. e19–e20.
Greaves WO, et al. Frequency and spectrum of BRAF mutations in a retrospective, single-institution study of 1112 cases of melanoma. J Mol Diagn. 2013;15(2):220–6.
Wang X, et al. First line immunotherapy extends brain metastasis free survival, improves overall survival, and reduces the incidence of brain metastasis in patients with advanced melanoma. Cancer Rep (Hoboken). 2021;4(6):e1419.
Pires da Silva I, et al. Clinical models to define response and survival with Anti-PD-1 antibodies alone or combined with Ipilimumab in Metastatic Melanoma. J Clin Oncol. 2022;40(10):1068–80.
Oken MM, et al. Toxicity and response criteria of the Eastern Cooperative Oncology Group. Am J Clin Oncol. 1982;5(6):649–55.
Moyers JT, et al. Real world outcomes of combination and timing of immunotherapy with radiotherapy for melanoma with brain metastases. Cancer Med. 2021;10(4):1201–11.
Le Rhun E et al. Response assessment and outcome of combining immunotherapy and radiosurgery for brain metastasis from malignant melanoma. ESMO Open, 2020. 5(4).
Qian JM, et al. Frequent use of local Therapy underscores need for Multidisciplinary Care in the management of patients with melanoma brain metastases treated with PD-1 inhibitors. Int J Radiat Oncol Biol Phys. 2019;105(5):1113–8.
Alvarez-Breckenridge C, et al. Upfront Surgical resection of Melanoma Brain Metastases provides a bridge toward immunotherapy-mediated systemic control. Oncologist. 2019;24(5):671–9.
Amaral T et al. Combined immunotherapy with nivolumab and ipilimumab with and without local therapy in patients with melanoma brain metastasis: a DeCOG* study in 380 patients. J Immunother Cancer, 2020. 8(1).
Hadi I, et al. Stereotactic radiosurgery combined with targeted/ immunotherapy in patients with melanoma brain metastasis. Radiat Oncol. 2020;15(1):37.
Wegner RE, et al. Time from stereotactic radiosurgery to immunotherapy in patients with melanoma brain metastases and impact on outcome. J Neurooncol. 2021;152(1):79–87.
Hassel JC, et al. Evaluation of radio-immunotherapy sequence on immunological responses and clinical outcomes in patients with melanoma brain metastases (ELEKTRA). Oncoimmunology. 2022;11(1):2066609.
Long GV, et al. Combination nivolumab and ipilimumab or nivolumab alone in melanoma brain metastases: a multicentre randomised phase 2 study. Lancet Oncol. 2018;19(5):672–81.
Tawbi HA, et al. Long-term outcomes of patients with active melanoma brain metastases treated with combination nivolumab plus ipilimumab (CheckMate 204): final results of an open-label, multicentre, phase 2 study. Lancet Oncol. 2021;22(12):1692–704.
Tawbi HA, et al. Combined Nivolumab and Ipilimumab in Melanoma Metastatic to the brain. N Engl J Med. 2018;379(8):722–30.
Gatterbauer B, et al. Toxicity and efficacy of Gamma Knife radiosurgery for brain metastases in melanoma patients treated with immunotherapy or targeted therapy-A retrospective cohort study. Cancer Med. 2020;9(11):4026–36.
Carron R, et al. Stereotactic radiosurgery combined with anti-PD1 for the management of melanoma brain metastases: a retrospective study of safety and efficacy. Eur J Cancer. 2020;135:52–61.
Huard B, et al. Cellular expression and tissue distribution of the human LAG-3-encoded protein, an MHC class II ligand. Immunogenetics. 1994;39(3):213–7.
Triebel F, et al. LAG-3, a novel lymphocyte activation gene closely related to CD4. J Exp Med. 1990;171(5):1393–405.
Kisielow M, et al. Expression of lymphocyte activation gene 3 (LAG-3) on B cells is induced by T cells. Eur J Immunol. 2005;35(7):2081–8.
Blackburn SD, et al. Coregulation of CD8 + T cell exhaustion by multiple inhibitory receptors during chronic viral infection. Nat Immunol. 2009;10(1):29–37.
Workman CJ, et al. LAG-3 regulates plasmacytoid dendritic cell homeostasis. J Immunol. 2009;182(4):1885–91.
Tawbi HA, et al. Relatlimab and Nivolumab versus Nivolumab in Untreated Advanced Melanoma. N Engl J Med. 2022;386(1):24–34.
Amaral T, et al. Immunotherapy plus surgery/radiosurgery is associated with favorable survival in patients with melanoma brain metastasis. Immunotherapy. 2019;11(4):297–309.
Banks PD, et al. Bevacizumab as a steroid-sparing agent during immunotherapy for melanoma brain metastases: a case series. Health Sci Rep. 2019;2(3):e115.
Gressett SM, Shah SR. Intricacies of bevacizumab-induced toxicities and their management. Ann Pharmacother. 2009;43(3):490–501.
Franceschi AM, et al. Use of susceptibility-weighted imaging (SWI) in the detection of Brain hemorrhagic metastases from breast Cancer and melanoma. J Comput Assist Tomogr. 2016;40(5):803–5.
Donato J, et al. Intracranial hemorrhage in patients with brain metastases treated with therapeutic enoxaparin: a matched cohort study. Blood. 2015;126(4):494–9.
Ghia AJ, et al. Radiosurgery for melanoma brain metastases: the impact of hemorrhage on local control. J Radiosurg SBRT. 2014;3(1):43–50.
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70(1):7–30.
Fenske DC, et al. Systematic review of Brain Metastases in patients with non-small-cell Lung Cancer in the United States, European Union, and Japan. Clin Lung Cancer. 2017;18(6):607–14.
Barnholtz-Sloan JS, et al. Incidence proportions of brain metastases in patients diagnosed (1973 to 2001) in the Metropolitan Detroit Cancer Surveillance System. J Clin Oncol. 2004;22(14):2865–72.
Wang G, et al. Distribution of Brain Metastasis from Lung Cancer. Cancer Manag Res. 2019;11:9331–8.
Suh JH, et al. Current approaches to the management of brain metastases. Nat Rev Clin Oncol. 2020;17(5):279–99.
Lauko A, et al. Impact of KRAS mutation status on the efficacy of immunotherapy in lung cancer brain metastases. Sci Rep. 2021;11(1):18174.
Gandhi L, et al. Pembrolizumab plus Chemotherapy in Metastatic Non-Small-Cell Lung Cancer. N Engl J Med. 2018;378(22):2078–92.
Paz-Ares L, et al. Pembrolizumab plus Chemotherapy for squamous non-small-cell Lung Cancer. N Engl J Med. 2018;379(21):2040–51.
West H, et al. Atezolizumab in combination with carboplatin plus nab-paclitaxel chemotherapy compared with chemotherapy alone as first-line treatment for metastatic non-squamous non-small-cell lung cancer (IMpower130): a multicentre, randomised, open-label, phase 3 trial. Lancet Oncol. 2019;20(7):924–37.
Mazzaschi G, et al. Low PD-1 expression in cytotoxic CD8(+) tumor-infiltrating lymphocytes confers an Immune-Privileged tissue Microenvironment in NSCLC with a prognostic and predictive value. Clin Cancer Res. 2018;24(2):407–19.
Li M, et al. Immune suppressive microenvironment in brain metastatic non-small cell lung cancer: comprehensive immune microenvironment profiling of brain metastases versus paired primary lung tumors (GASTO 1060). Oncoimmunology. 2022;11(1):2059874.
Kondelkova K, et al. Regulatory T cells (TREG) and their roles in immune system with respect to immunopathological disorders. Acta Medica (Hradec Kralove). 2010;53(2):73–7.
Hulsbergen AFC, et al. Programmed death receptor ligand one expression may independently predict survival in patients with Non-Small Cell Lung Carcinoma Brain Metastases receiving immunotherapy. Int J Radiat Oncol Biol Phys. 2020;108(1):258–67.
Kim H, et al. Clinicopathological analysis and prognostic significance of programmed cell death-ligand 1 protein and mRNA expression in non-small cell lung cancer. PLoS ONE. 2018;13(6):e0198634.
Goldberg SB, et al. Pembrolizumab for management of patients with NSCLC and brain metastases: long-term results and biomarker analysis from a non-randomised, open-label, phase 2 trial. Lancet Oncol. 2020;21(5):655–63.
Guin S, et al. Contributions of KRAS and RAL in non-small-cell lung cancer growth and progression. J Thorac Oncol. 2013;8(12):1492–501.
Chan BA, Hughes BG. Targeted therapy for non-small cell lung cancer: current standards and the promise of the future. Transl Lung Cancer Res. 2015;4(1):36–54.
Wood K, et al. Prognostic and predictive value in KRAS in Non-Small-Cell Lung Cancer: a review. JAMA Oncol. 2016;2(6):805–12.
Chen N, et al. KRAS mutation-induced upregulation of PD-L1 mediates immune escape in human lung adenocarcinoma. Cancer Immunol Immunother. 2017;66(9):1175–87.
Wang F, et al. Evaluation of POLE and POLD1 mutations as biomarkers for immunotherapy outcomes across multiple Cancer types. JAMA Oncol. 2019;5(10):1504–6.
Song Z, et al. Clinicopathological characteristics of POLE mutation in patients with non-small-cell lung cancer. Lung Cancer. 2018;118:57–61.
Fu Y, et al. Immunotherapy for a POLE mutation Advanced Non-Small-Cell Lung Cancer patient. Front Pharmacol. 2022;13:817265.
Hu C, et al. Case Report: pathological complete response in a brain-metastatic lung squamous cell Carcinoma Patient with Long-Term Benefit from Chemo-Immunotherapy. Front Oncol. 2021;11:693704.
Nong J, et al. Durable response to immunotherapy plus chemotherapy in a patient with untreated, brain-metastatic, EGFR exon 20 insertion mutation lung adenocarcinoma: a case report. Med (Baltim). 2021;100(29):e26650.
Pizarro G, et al. Complete response to Immunotherapy Plus Chemotherapy after an unusual clinical response to Afatinib and Stereotactic Radiosurgery in a patient with metastatic EGFR-Mutant non-small-cell Lung Cancer. Clin Lung Cancer. 2020;21(4):e250–4.
Riudavets M, et al. Complete, Unpredictable, multi-site response including brain and liver metastases in a patient with RET-rearranged non-small-cell lung Cancer treated with single-agent Immunotherapy: a Case Report. Clin Lung Cancer. 2021;22(2):e215–9.
Cho A, et al. Neutrophil-to-lymphocyte ratio is Superior to other leukocyte-based ratios as a prognostic predictor in Non-Small Cell Lung Cancer patients with Radiosurgically treated brain metastases under immunotherapy or targeted therapy. World Neurosurg. 2021;151:e324–31.
Mitsuya K, et al. Elevated preoperative neutrophil-to-lymphocyte ratio as a predictor of worse survival after resection in patients with brain metastasis. J Neurosurg. 2017;127(2):433–7.
Mandaliya H, et al. Prognostic biomarkers in stage IV non-small cell lung cancer (NSCLC): neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio (PLR) and advanced lung cancer inflammation index (ALI). Transl Lung Cancer Res. 2019;8(6):886–94.
Cho A, et al. Pre-radiosurgery leucocyte ratios and modified glasgow prognostic score predict survival in non-small cell lung cancer brain metastases patients. J Neurooncol. 2021;151(2):257–65.
Kang S et al. Central nervous systemic efficacy of immune checkpoint inhibitors and concordance between intra/extracranial response in non-small cell lung cancer patients with brain metastasis. J Cancer Res Clin Oncol, 2022.
Rounis K et al. Correlation of Clinical Parameters with Intracranial Outcome in Non-Small Cell Lung Cancer Patients with Brain Metastases Treated with Pd-1/Pd-L1 Inhibitors as Monotherapy Cancers (Basel), 2021. 13(7).
Crino L, et al. Nivolumab and brain metastases in patients with advanced non-squamous non-small cell lung cancer. Lung Cancer. 2019;129:35–40.
Chandra RA, et al. A systematic evaluation of abscopal responses following radiotherapy in patients with metastatic melanoma treated with ipilimumab. Oncoimmunology. 2015;4(11):e1046028.
Dewan MZ, et al. Fractionated but not single-dose radiotherapy induces an immune-mediated abscopal effect when combined with anti-CTLA-4 antibody. Clin Cancer Res. 2009;15(17):5379–88.
Lugade AA, et al. Local radiation therapy of B16 melanoma tumors increases the generation of tumor antigen-specific effector cells that traffic to the tumor. J Immunol. 2005;174(12):7516–23.
Lee Y, et al. Therapeutic effects of ablative radiation on local tumor require CD8 + T cells: changing strategies for cancer treatment. Blood. 2009;114(3):589–95.
Hanna GG, Coyle VM, Prise KM. Immune modulation in advanced radiotherapies: targeting out-of-field effects. Cancer Lett. 2015;368(2):246–51.
Postow MA, et al. Immunologic correlates of the abscopal effect in a patient with melanoma. N Engl J Med. 2012;366(10):925–31.
Demaria S, et al. Ionizing radiation inhibition of distant untreated tumors (abscopal effect) is immune mediated. Int J Radiat Oncol Biol Phys. 2004;58(3):862–70.
Lin X, et al. Extracranial abscopal effect induced by combining immunotherapy with brain radiotherapy in a patient with lung adenocarcinoma: a case report and literature review. Thorac Cancer. 2019;10(5):1272–5.
Enright TL, et al. Combined immunotherapy and stereotactic Radiotherapy improves neurologic outcomes in patients with non-small-cell Lung Cancer Brain Metastases. Clin Lung Cancer. 2021;22(2):110–9.
Cho A et al. Gamma Knife Radiosurgery for Brain Metastases in Non-Small Cell Lung Cancer Patients treated with immunotherapy or targeted therapy. Cancers (Basel), 2020. 12(12).
Scoccianti S, et al. Immunotherapy in association with stereotactic radiotherapy for non-small cell lung cancer brain metastases: results from a multicentric retrospective study on behalf of AIRO. Neuro Oncol. 2021;23(10):1750–64.
Abdulhaleem M, et al. Local control outcomes for combination of stereotactic radiosurgery and immunotherapy for non-small cell lung cancer brain metastases. J Neurooncol. 2022;157(1):101–7.
Bjornhart B et al. Effect and tolerability of Immunotherapy in patients with NSCLC with or without Brain Metastasis. Cancers (Basel), 2022. 14(7).
Wasilewski D, et al. Effectiveness of Immune Checkpoint Inhibition vs Chemotherapy in Combination with Radiation Therapy among patients with Non-Small Cell Lung Cancer and Brain Metastasis Undergoing Neurosurgical Resection. JAMA Netw Open. 2022;5(4):e229553.
Sheng J, et al. Efficacy of PD-1/PD-L1 inhibitors in patients with non-small cell lung cancer and brain metastases: a real-world retrospective study in China. Thorac Cancer. 2021;12(22):3019–31.
Kakimoto T et al. A Histologically Complete Response to Immunotherapy Using Pembrolizumab in a Patient with Giant Cell Carcinoma of the Lung: An Additional Report and Literature Review Case Rep Oncol Med, 2019. 2019: p. 1763625.
Koch A, et al. Pulmonary resection after Radiosurgery and Neoadjuvant Immunochemotherapy for NSCLC patients with synchronous brain Metastasis-A Case Series of three patients. Curr Oncol. 2022;29(4):2225–39.
Singh C, et al. Local tumor response and survival outcomes after combined stereotactic radiosurgery and immunotherapy in non-small cell lung cancer with brain metastases. J Neurosurg. 2019;132(2):512–7.
Hiddinga BI et al. Recent developments in the treatment of small cell lung cancer. Eur Respir Rev, 2021. 30(161).
Viani GA, et al. Stereotactic radiosurgery for brain metastases from small cell lung cancer without prior whole-brain radiotherapy: a meta-analysis. Radiother Oncol. 2021;162:45–51.
Huang F, et al. Intracranial complete response to toripalimab and anlotinib in a patient with recurrent brain metastases of small cell lung cancer after failure of second-line maintenance therapy: a case report. Transl Cancer Res. 2022;11(9):3337–42.
Wu Y, et al. Anlotinib combined with durvalumab in a patient with recurrent multifocal brain metastases of small cell lung cancer after definitive concurrent chemoradiotherapy and palliative radiotherapy of the lung and brain: a case report. Ann Palliat Med. 2021;10(2):2379–86.
Wang J, et al. Adebrelimab or placebo plus carboplatin and etoposide as first-line treatment for extensive-stage small-cell lung cancer (CAPSTONE-1): a multicentre, randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Oncol. 2022;23(6):739–47.
Chang J et al. Programmed cell death 1 pathway inhibitors improve the overall survival of small cell lung cancer patients with brain metastases. J Cancer Res Clin Oncol, 2022.
Tsukada Y, et al. Central nervous system metastasis from breast carcinoma. Autopsy study. Cancer. 1983;52(12):2349–54.
Lin NU, Bellon JR, Winer EP. CNS metastases in breast cancer. J Clin Oncol. 2004;22(17):3608–17.
Aversa C, et al. Metastatic breast cancer subtypes and central nervous system metastases. Breast. 2014;23(5):623–8.
Kuksis M, et al. The incidence of brain metastases among patients with metastatic breast cancer: a systematic review and meta-analysis. Neuro Oncol. 2021;23(6):894–904.
Sperduto PW, et al. The effect of tumor subtype on the time from primary diagnosis to development of brain metastases and survival in patients with breast cancer. J Neurooncol. 2013;112(3):467–72.
Niikura N, et al. Treatment outcomes and prognostic factors for patients with brain metastases from breast cancer of each subtype: a multicenter retrospective analysis. Breast Cancer Res Treat. 2014;147(1):103–12.
Witzel I, et al. Treatment and outcomes of patients in the brain metastases in breast Cancer Network Registry. Eur J Cancer. 2018;102:1–9.
Owens MA, Horten BC, Da Silva MM. HER2 amplification ratios by fluorescence in situ hybridization and correlation with immunohistochemistry in a cohort of 6556 breast cancer tissues. Clin Breast Cancer. 2004;5(1):63–9.
Slamon DJ, et al. Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene. Science. 1987;235(4785):177–82.
Routh ED, et al. Comprehensive Analysis of the Immunogenomics of Triple-Negative breast Cancer Brain Metastases from LCCC1419. Front Oncol. 2022;12:818693.
Lin NU, et al. Sites of distant recurrence and clinical outcomes in patients with metastatic triple-negative breast cancer: high incidence of central nervous system metastases. Cancer. 2008;113(10):2638–45.
Yerushalmi R, et al. Patterns of relapse in breast cancer: changes over time. Breast Cancer Res Treat. 2010;120(3):753–9.
Martin AM, et al. Brain metastases in newly diagnosed breast Cancer: a Population-Based study. JAMA Oncol. 2017;3(8):1069–77.
Chehade R, et al. PD-L1 expression in breast cancer brain metastases. Neurooncol Adv. 2022;4(1):vdac154.
Ogiya R, et al. Comparison of immune microenvironments between primary tumors and brain metastases in patients with breast cancer. Oncotarget. 2017;8(61):103671–81.
Yokoi T, et al. Local, multimodal intralesional therapy renders distant brain metastases susceptible to PD-L1 blockade in a preclinical model of triple-negative breast cancer. Sci Rep. 2021;11(1):21992.
Rich RR. Clinical immunology: principles and practice. 4th Expert consult. ed. London: Elsevier Saunders; 2013.
Miller TW, et al. ERalpha-dependent E2F transcription can mediate resistance to estrogen deprivation in human breast cancer. Cancer Discov. 2011;1(4):338–51.
Ma CX, et al. Mechanisms of aromatase inhibitor resistance. Nat Rev Cancer. 2015;15(5):261–75.
Wu D, et al. Case Report: long-term response to Pembrolizumab Combined with endocrine therapy in metastatic breast Cancer patients with hormone receptor expression. Front Immunol. 2021;12:610149.
Siegel RL, et al. Colorectal cancer statistics, 2020. CA Cancer J Clin. 2020;70(3):145–64.
Rahmathulla G, Toms SA, Weil RJ. The molecular biology of brain metastasis J Oncol, 2012. 2012: p. 723541.
Norden AD, Wen PY, Kesari S. Brain metastases. Curr Opin Neurol. 2005;18(6):654–61.
Kye BH, et al. Brain metastases from colorectal cancer: the role of surgical resection in selected patients. Colorectal Dis. 2012;14(7):e378–85.
Yagiz K, et al. A retroviral replicating Vector Encoding Cytosine Deaminase and 5-FC induces Immune Memory in Metastatic Colorectal Cancer Models. Mol Ther Oncolytics. 2018;8:14–26.
Gabrilovich DI, Nagaraj S. Myeloid-derived suppressor cells as regulators of the immune system. Nat Rev Immunol. 2009;9(3):162–74.
Ilkovitch D, Lopez DM. The liver is a site for tumor-induced myeloid-derived suppressor cell accumulation and immunosuppression. Cancer Res. 2009;69(13):5514–21.
Mundy-Bosse BL, et al. Distinct myeloid suppressor cell subsets correlate with plasma IL-6 and IL-10 and reduced interferon-alpha signaling in CD4(+) T cells from patients with GI malignancy. Cancer Immunol Immunother. 2011;60(9):1269–79.
Wesolowski R, Markowitz J, Carson WE 3rd. Myeloid derived suppressor cells - a new therapeutic target in the treatment of cancer. J Immunother Cancer. 2013;1:10.
Baniyash M. Myeloid-derived suppressor cells as intruders and targets: clinical implications in cancer therapy. Cancer Immunol Immunother. 2016;65(7):857–67.
Vincent J, et al. 5-Fluorouracil selectively kills tumor-associated myeloid-derived suppressor cells resulting in enhanced T cell-dependent antitumor immunity. Cancer Res. 2010;70(8):3052–61.
Suarez-Sarmiento A Jr, et al. Brain metastasis from renal-cell carcinoma: an institutional study. Clin Genitourin Cancer. 2019;17(6):e1163–70.
Cagney DN, et al. Incidence and prognosis of patients with brain metastases at diagnosis of systemic malignancy: a population-based study. Neuro Oncol. 2017;19(11):1511–21.
Bianchi M, et al. Distribution of metastatic sites in renal cell carcinoma: a population-based analysis. Ann Oncol. 2012;23(4):973–80.
Sun M, et al. The development of Brain Metastases in patients with renal cell carcinoma: epidemiologic Trends, Survival, and clinical risk factors using a Population-based Cohort. Eur Urol Focus. 2019;5(3):474–81.
Klausner G, et al. Stereotactic Radiation Therapy for Renal Cell Carcinoma Brain Metastases in the tyrosine kinase inhibitors era: outcomes of 120 patients. Clin Genitourin Cancer. 2019;17(3):191–200.
Sheehan JP, et al. Radiosurgery in patients with renal cell carcinoma metastasis to the brain: long-term outcomes and prognostic factors influencing survival and local tumor control. J Neurosurg. 2003;98(2):342–9.
Motzer RJ, et al. Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Engl J Med. 2007;356(2):115–24.
Motzer RJ, et al. Overall survival and updated results for sunitinib compared with interferon alfa in patients with metastatic renal cell carcinoma. J Clin Oncol. 2009;27(22):3584–90.
Hudes G, et al. Temsirolimus, interferon alfa, or both for advanced renal-cell carcinoma. N Engl J Med. 2007;356(22):2271–81.
Motzer RJ, et al. Phase 3 trial of everolimus for metastatic renal cell carcinoma: final results and analysis of prognostic factors. Cancer. 2010;116(18):4256–65.
Sperduto PW, et al. Effect of targeted therapies on prognostic factors, patterns of Care, and survival in patients with renal cell carcinoma and brain metastases. Int J Radiat Oncol Biol Phys. 2018;101(4):845–53.
Flippot R, et al. Safety and Efficacy of Nivolumab in Brain Metastases from Renal Cell Carcinoma: results of the GETUG-AFU 26 NIVOREN Multicenter Phase II study. J Clin Oncol. 2019;37(23):2008–16.
Uezono H, et al. Outcomes of stereotactic radiosurgery and immunotherapy in renal cell carcinoma patients with brain metastases. Am J Clin Oncol. 2021;44(9):495–501.
Chen L, et al. Concurrent Immune checkpoint inhibitors and stereotactic radiosurgery for Brain Metastases in Non-Small Cell Lung Cancer, Melanoma, and renal cell carcinoma. Int J Radiat Oncol Biol Phys. 2018;100(4):916–25.
Ramos CA, et al. Anti-CD30 CAR-T cell therapy in relapsed and refractory Hodgkin Lymphoma. J Clin Oncol. 2020;38(32):3794–804.
Raje N, et al. Anti-BCMA CAR T-Cell therapy bb2121 in relapsed or refractory multiple myeloma. N Engl J Med. 2019;380(18):1726–37.
Maude SL, et al. Chimeric antigen receptor T cells for sustained remissions in leukemia. N Engl J Med. 2014;371(16):1507–17.
Kochenderfer JN, et al. Chemotherapy-refractory diffuse large B-cell lymphoma and indolent B-cell malignancies can be effectively treated with autologous T cells expressing an anti-CD19 chimeric antigen receptor. J Clin Oncol. 2015;33(6):540–9.
Li H, et al. Targeting brain lesions of non-small cell lung cancer by enhancing CCL2-mediated CAR-T cell migration. Nat Commun. 2022;13(1):2154.
Zhou WT, Jin WL. B7-H3/CD276: an Emerging Cancer Immunotherapy. Front Immunol. 2021;12:701006.
Arigami T, et al. B7-h3 ligand expression by primary breast cancer and associated with regional nodal metastasis. Ann Surg. 2010;252(6):1044–51.
Cong F, Yu H, Gao X. Expression of CD24 and B7-H3 in breast cancer and the clinical significance. Oncol Lett. 2017;14(6):7185–90.
Li F, Chen H, Wang D. Silencing of CD276 suppresses lung cancer progression by regulating integrin signaling. J Thorac Dis. 2020;12(5):2137–45.
Majzner RG, et al. CAR T cells targeting B7-H3, a Pan-Cancer Antigen, demonstrate potent preclinical activity against Pediatric Solid Tumors and Brain Tumors. Clin Cancer Res. 2019;25(8):2560–74.
Nagarsheth N, Wicha MS, Zou W. Chemokines in the cancer microenvironment and their relevance in cancer immunotherapy. Nat Rev Immunol. 2017;17(9):559–72.
Kudo Y, et al. Suppressed immune microenvironment and repertoire in brain metastases from patients with resected non-small-cell lung cancer. Ann Oncol. 2019;30(9):1521–30.
Priceman SJ, et al. Regional Delivery of chimeric Antigen Receptor-Engineered T cells effectively targets HER2(+) breast Cancer metastasis to the brain. Clin Cancer Res. 2018;24(1):95–105.
Liu Y, et al. Use and specificity of breast cancer antigen/milk protein BA46 for generating anti-self-cytotoxic T lymphocytes by recombinant adeno-associated virus-based gene loading of dendritic cells. Cancer Gene Ther. 2005;12(3):304–12.
Liu Y, et al. Transduction and utility of the granulocyte-macrophage colony-stimulating factor gene into monocytes and dendritic cells by adeno-associated virus. J Interferon Cytokine Res. 2000;20(1):21–30.
Chiriva-Internati M, et al. Testing recombinant adeno-associated virus-gene loading of dendritic cells for generating potent cytotoxic T lymphocytes against a prototype self-antigen, multiple myeloma HM1.24. Blood. 2003;102(9):3100–7.
Wang H, et al. A preliminary study of adoptive T-cell transfer therapy for patients with non-small-cell lung Adenocarcinoma with Brain Metastasis: a Case Report of 3 patients. Clin Lung Cancer. 2020;21(4):e270–3.
Ziegler SF, Ramsdell F, Alderson MR. The activation antigen CD69. Stem Cells. 1994;12(5):456–65.
Vazquez BN, et al. CD69 gene is differentially regulated in T and B cells by evolutionarily conserved promoter-distal elements. J Immunol. 2009;183(10):6513–21.
Karbach J, et al. Long-term complete remission following radiosurgery and immunotherapy in a melanoma patient with brain metastasis: immunologic correlates. Cancer Immunol Res. 2014;2(5):404–9.
Laurell A, et al. Intratumorally injected pro-inflammatory allogeneic dendritic cells as immune enhancers: a first-in-human study in unfavourable risk patients with metastatic renal cell carcinoma. J Immunother Cancer. 2017;5:52.
Klemm F, et al. Interrogation of the Microenvironmental Landscape in Brain Tumors reveals Disease-Specific alterations of Immune cells. Cell. 2020;181(7):1643–1660e17.
Zhang H, et al. Roles of tumor-associated macrophages in anti-PD-1/PD-L1 immunotherapy for solid cancers. Mol Cancer. 2023;22(1):58.
Redmer T. Deciphering mechanisms of brain metastasis in melanoma - the gist of the matter. Mol Cancer. 2018;17(1):106.
Bunse L, et al. Suppression of antitumor T cell immunity by the oncometabolite (R)-2-hydroxyglutarate. Nat Med. 2018;24(8):1192–203.
Jackson CM, Choi J, Lim M. Mechanisms of immunotherapy resistance: lessons from glioblastoma. Nat Immunol. 2019;20(9):1100–9.
Leone RD, Powell JD. Metabolism of immune cells in cancer. Nat Rev Cancer. 2020;20(9):516–31.
Zhang Z, et al. Gut fungi enhances immunosuppressive function of myeloid-derived suppressor cells by activating PKM2-dependent glycolysis to promote colorectal tumorigenesis. Exp Hematol Oncol. 2022;11(1):88.
Bergers G, Fendt SM. The metabolism of cancer cells during metastasis. Nat Rev Cancer. 2021;21(3):162–80.
Ngo B, et al. Limited Environmental Serine and Glycine Confer Brain Metastasis sensitivity to PHGDH Inhibition. Cancer Discov. 2020;10(9):1352–73.
Ferraro GB, et al. Fatty acid synthesis is required for breast Cancer brain metastasis. Nat Cancer. 2021;2(4):414–28.
Ho PC, et al. Phosphoenolpyruvate is a metabolic checkpoint of anti-tumor T cell responses. Cell. 2015;162(6):1217–28.
Ma EH, et al. Serine is an essential metabolite for Effector T cell expansion. Cell Metab. 2017;25(2):345–57.
Mills EL, et al. Succinate dehydrogenase supports metabolic repurposing of Mitochondria to Drive Inflammatory Macrophages. Cell. 2016;167(2):457–70. e13.
Blagih J, et al. The energy sensor AMPK regulates T cell metabolic adaptation and effector responses in vivo. Immunity. 2015;42(1):41–54.
Johnson MO, et al. Distinct regulation of Th17 and Th1 cell differentiation by glutaminase-dependent metabolism. Cell. 2018;175(7):1780–1795e19.
Balmer ML, et al. Memory CD8(+) T cells require increased concentrations of acetate Induced by stress for optimal function. Immunity. 2016;44(6):1312–24.
Qiu J, et al. Acetate promotes T cell effector function during glucose restriction. Cell Rep. 2019;27(7):2063–74. e5.
Geiger R, et al. L-Arginine modulates T cell metabolism and enhances survival and anti-tumor activity. Cell. 2016;167(3):829–42. e13.
Roy DG, et al. Methionine metabolism shapes T helper cell responses through regulation of epigenetic reprogramming. Cell Metab. 2020;31(2):250–266e9.
Sinclair LV et al. Antigen receptor control of methionine metabolism in T cells. Elife, 2019. 8.
Pearce EL, et al. Enhancing CD8 T-cell memory by modulating fatty acid metabolism. Nature. 2009;460(7251):103–7.
Pan Y, et al. Survival of tissue-resident memory T cells requires exogenous lipid uptake and metabolism. Nature. 2017;543(7644):252–6.
Wang C, et al. CD5L/AIM regulates lipid biosynthesis and restrains Th17 cell pathogenicity. Cell. 2015;163(6):1413–27.
Munn DH, Mellor AL. IDO in the Tumor Microenvironment: Inflammation, Counter-Regulation, and Tolerance. Trends Immunol. 2016;37(3):193–207.
Munn DH et al. GCN2 kinase in T cells mediates proliferative arrest and anergy induction in response to indoleamine 2,3-dioxygenase Immunity, 2005. 22(5): p. 633 – 42.
Frumento G, et al. Tryptophan-derived catabolites are responsible for inhibition of T and natural killer cell proliferation induced by indoleamine 2,3-dioxygenase. J Exp Med. 2002;196(4):459–68.
Lampropoulou V, et al. Itaconate Links Inhibition of Succinate dehydrogenase with macrophage metabolic remodeling and regulation of inflammation. Cell Metab. 2016;24(1):158–66.
Roy DG, et al. Immunometabolism in the Tumor Microenvironment. Annual Rev Cancer Biology. 2021;5(1):137–59.
Parida PK, et al. Metabolic diversity within breast cancer brain-tropic cells determines metastatic fitness. Cell Metab. 2022;34(1):90–105e7.
Fischer K, et al. Inhibitory effect of tumor cell-derived lactic acid on human T cells. Blood. 2007;109(9):3812–9.
Scharping NE, et al. The Tumor Microenvironment represses T cell mitochondrial Biogenesis to Drive Intratumoral T Cell metabolic insufficiency and dysfunction. Immunity. 2016;45(2):374–88.
Rambold AS, Pearce EL. Mitochondrial Dynamics at the interface of Immune Cell metabolism and function. Trends Immunol. 2018;39(1):6–18.
Mills E, O’Neill LA. Succinate: a metabolic signal in inflammation. Trends Cell Biol. 2014;24(5):313–20.
Lee SJ, et al. Leptomeningeal carcinomatosis in non-small-cell lung cancer patients: impact on survival and correlated prognostic factors. J Thorac Oncol. 2013;8(2):185–91.
Cheng H, Perez-Soler R. Leptomeningeal metastases in non-small-cell lung cancer. Lancet Oncol. 2018;19(1):e43–e55.
Chamberlain MC, et al. Systemic therapy of brain metastases: non-small cell lung cancer, breast cancer, and melanoma. Neuro Oncol. 2017;19(1):i1–i24.
Chamberlain M, et al. Leptomeningeal metastases: a RANO proposal for response criteria. Neuro Oncol. 2017;19(4):484–92.
Grossman SA, Krabak MJ. Leptomeningeal carcinomatosis. Cancer Treat Rev. 1999;25(2):103–19.
Le Rhun E, et al. How we treat patients with leptomeningeal metastases. ESMO Open. 2019;4(Suppl 2):e000507.
Beauchesne P. Intrathecal chemotherapy for treatment of leptomeningeal dissemination of metastatic tumours. Lancet Oncol. 2010;11(9):871–9.
Kesari S, Batchelor TT. Leptomeningeal metastases. Neurol Clin. 2003;21(1):25–66.
Ferlay J et al. Cancer statistics for the year 2020: an overview. Int J Cancer, 2021.
Le Rhun E, et al. EANO-ESMO clinical practice guidelines for diagnosis, treatment and follow-up of patients with leptomeningeal metastasis from solid tumours. Ann Oncol. 2017;28(suppl4):iv84–iv99.
Wang Y, et al. Leptomeningeal metastases in non-small cell lung cancer: diagnosis and treatment. Lung Cancer. 2022;174:1–13.
Brastianos PK, et al. Single-arm, open-label phase 2 trial of pembrolizumab in patients with leptomeningeal carcinomatosis. Nat Med. 2020;26(8):1280–4.
Naidoo J et al. Pembrolizumab for patients with leptomeningeal metastasis from solid tumors: efficacy, safety, and cerebrospinal fluid biomarkers. J Immunother Cancer, 2021. 9(8).
Brastianos PK, et al. Phase II study of ipilimumab and nivolumab in leptomeningeal carcinomatosis. Nat Commun. 2021;12(1):5954.
Glitza Oliva IC, et al. Concurrent intrathecal and intravenous nivolumab in leptomeningeal disease: phase 1 trial interim results. Nat Med. 2023;29(4):898–905.
PD-1 inhibitors prolong survival in Leptomeningeal Disease. Cancer Discov, 2023: p. OF1.
Smalley I, et al. Single-cell characterization of the Immune Microenvironment of Melanoma Brain and Leptomeningeal Metastases. Clin Cancer Res. 2021;27(14):4109–25.
Remsik J, et al. Leptomeningeal metastatic cells adopt two phenotypic states. Cancer Rep (Hoboken). 2022;5(4):e1236.
Adua SJ, et al. Brain metastatic outgrowth and osimertinib resistance are potentiated by RhoA in EGFR-mutant lung cancer. Nat Commun. 2022;13(1):7690.
O’Donnell JS, Teng MWL, Smyth MJ. Cancer immunoediting and resistance to T cell-based immunotherapy. Nat Rev Clin Oncol. 2019;16(3):151–67.
Shah N, et al. Drug resistance occurred in a newly characterized preclinical model of lung cancer brain metastasis. BMC Cancer. 2020;20(1):292.
Guo X, et al. Midkine activation of CD8(+) T cells establishes a neuron-immune-cancer axis responsible for low-grade glioma growth. Nat Commun. 2020;11(1):2177.
Hambardzumyan D, Gutmann DH, Kettenmann H. The role of microglia and macrophages in glioma maintenance and progression. Nat Neurosci. 2016;19(1):20–7.
Niesel K, et al. The immune suppressive microenvironment affects efficacy of radio-immunotherapy in brain metastasis. EMBO Mol Med. 2021;13(5):e13412.
Bilger G, et al. Paclitaxel-bevacizumab combination in advanced non-squamous non-small-cell lung cancer (NSCLC): AVATAX, a retrospective multicentric study. Ther Adv Med Oncol. 2022;14:17588359221099399.
Liu R et al. Advances of nanoparticles as drug delivery systems for disease diagnosis and treatment. Chin Chem Lett, 2023. 34(2): p. 107518-1-107518-24.
Sagnella SM, et al. Cyto-Immuno-Therapy for Cancer: a pathway elicited by Tumor-Targeted, cytotoxic drug-packaged bacterially derived Nanocells. Cancer Cell. 2020;37(3):354–370e7.
Uceda-Castro R, et al. Re-purposing the pro-senescence properties of doxorubicin to introduce immunotherapy in breast cancer brain metastasis. Cell Rep Med. 2022;3(11):100821.
Zubair A, De Jesus O. Ommaya Reservoir, StatPearls. 2022: Treasure Island (FL).
Gang M, et al. Memory-like natural killer cells for cancer immunotherapy. Semin Hematol. 2020;57(4):185–93.
Fernandez-Garcia J, et al. CD8(+) T cell metabolic rewiring defined by scRNA-seq identifies a critical role of ASNS expression dynamics in T cell differentiation. Cell Rep. 2022;41(7):111639.
Stine ZE, et al. Targeting cancer metabolism in the era of precision oncology. Nat Rev Drug Discov. 2022;21(2):141–62.
Cascone T, et al. Increased tumor glycolysis characterizes Immune Resistance to adoptive T cell therapy. Cell Metab. 2018;27(5):977–87. e4.
Bachem A, et al. Microbiota-derived short-chain fatty acids promote the memory potential of Antigen-Activated CD8(+) T cells. Immunity. 2019;51(2):285–97. e5.
Luu M, et al. Microbial short-chain fatty acids modulate CD8(+) T cell responses and improve adoptive immunotherapy for cancer. Nat Commun. 2021;12(1):4077.
Sun M, et al. Microbiota-derived short-chain fatty acids promote Th1 cell IL-10 production to maintain intestinal homeostasis. Nat Commun. 2018;9(1):3555.
Stein-Thoeringer CK et al. A non-antibiotic-disrupted gut microbiome is associated with clinical responses to CD19-CAR-T cell cancer immunotherapy. Nat Med, 2023.
Reardon DA, et al. Effect of Nivolumab vs Bevacizumab in patients with recurrent glioblastoma: the CheckMate 143 phase 3 Randomized Clinical Trial. JAMA Oncol. 2020;6(7):1003–10.
Acknowledgements
We thank our colleagues for the critical reading of this manuscript, their valuable suggestions, as well as their useful comments for the preparation of this manuscript. Model illustrations were created using BioRender.com.
Funding
Brain metastasis studies of lung and breast cancer in our laboratory are supported by the National Institutes of Health (NIH) grants R01CA218545 and R01CA241752 to MWN. The work of SKB is supported by NIH R01CA247471, R01CA195586, and P01 CA217798.
Author information
Authors and Affiliations
Contributions
AA, PK, MWN were involved in the conception and design of the review. AA, PK, and AUR researched the data for the article and wrote the original draft of the manuscript. AA and PK contributed equally to this manuscript. AA, AUR, PK, SKB, and MWN critically revised the manuscript. All authors read and approved the content of the manuscript before final submission.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable to this review.
Consent for publication
All authors agree with the content of the manuscript and consent to publication.
Competing interests
SKB is co-founder of Sanguine Diagnostics and Therapeutics, Inc. Other authors declare no competing interests.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Aatiya Ahmad and Parvez Khan contributed equally.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Ahmad, A., Khan, P., Rehman, A.U. et al. Immunotherapy: an emerging modality to checkmate brain metastasis. Mol Cancer 22, 111 (2023). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12943-023-01818-7
Received:
Accepted:
Published:
DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12943-023-01818-7