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Harnessing the immune system in glioblastoma

Nicholas F. Brown, Thomas J. Carter, Diego Ottaviani and 1 more

British Journal of Cancer · 2018 · Review

doi:10.1038/s41416-018-0258-8

Abstract

Glioblastoma is the most common primary malignant brain tumour. Survival is poor and improved treatment options are urgently needed. Although immunotherapies have emerged as effective treatments for a number of cancers, translation of these through to brain tumours is a distinct challenge, particularly due to the blood-brain barrier and the unique immune tumour microenvironment afforded by CNS-specific cells. This review discusses the immune system within the CNS, mechanisms of immune escape employed by glioblastoma, and the immunological effects of conventional glioblastoma treatments. Novel therapies for glioblastoma that harness the immune system and their current clinical progress are outlined, including cancer vaccines, T-cell therapies and immune checkpoint modulators.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 20, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

Glioblastoma is the most common malignant primary brain tumour in adults. Survival is poor, with a median survival of 14.6 months with standard treatment of surgical debulking followed by external-beam radiotherapy with concurrent temozolomide (TMZ) chemotherapy and adjuvant TMZ chemotherapy. In the last decade, clinical trials investigating targeted therapies have failed to demonstrate any significant improvement in survival, and innovative new treatments are urgently needed. Recently, focus has shifted towards novel strategies that modulate the immune response towards the tumour and the surrounding tumour microenvironment.

Recognition and eradication of malignant cells via immune surveillance of tumour-associated antigens (TAAs) is a key function of the immune system. TAAs typically represent peptides which are present within tumour cells but usually absent in the surrounding normal tissue. In glioblastoma, these antigens most commonly fall into three main classes; (i) aberrantly expressed non-mutated self-antigens, (ii) mutated self-antigens and (iii) unique antigens or neo-antigens - novel peptide sequences which are the result of somatic mutations in the cancer genome. Tumours manipulate the immune system to avoid detection of TAAs and to facilitate their own growth and survival.

Immunotherapy aims to harness the immune system against tumours, with breakthroughs observed in a number of cancers, most notably malignant melanoma and haematological malignancies. However, translating these approaches into therapies for primary brain tumours represents a distinct challenge due the unique tumour microenvironment and distinctive immune system within the CNS.

The CNS was traditionally considered immune privileged due to (i) the presence of the blood–brain barrier (BBB) that restricts access to immune cells, (ii) an absence of conventional lymphatic drainage restricting the trafficking of antigens to lymph nodes, (iii) a scarcity of specialised antigen-presenting cells, and iv) downregulation of the major histocompatibility complex (MHC) expression in normal brain parenchyma, limiting antigen presentation. In recent years, this dogma has been eroded with substantial evidence now demonstrating that these interlinked factors tightly regulate a fully functional, innate and adaptive immune system within the CNS (Table 1).

In this review, we describe the features of the immune system in the CNS, discuss the immune evasion strategies of glioblastoma, the molecular properties of its microenvironment, and the current clinical evidence supporting a role for immunomodulation in the treatment of glioblastoma.

Glioblastoma tumour microenvironment and mechanisms of immune escape

Glioblastoma arises from glial cells, with surrounding brain parenchyma comprising CNS-specific cells including astrocytes, neurons and microglia, and a distinctive extracellular matrix (ECM) composition. Glioblastoma induces a TME characterised by immunosuppressive cytokines secreted by tumour cells, microglia and tumour-associated macrophages (TAMs). These factors, notably interleukin-6, interleukin-10, transforming growth factor-beta (TGF-β), and prostaglandin-E collectively inhibit both the innate and adaptive immune systems with suppression of NK activity and T-cell activation and proliferation, induction of T-cell apoptosis, downregulation of MHC expression, and skew of TAMs towards an M2 (immunosuppressive) phenotype. The TME is also characterised by tissue hypoxia provided by irregular vascularity and high-tumour oxygen consumption. Tissue hypoxia activates the immunosuppressive STAT3 pathway, leading to hypoxia-inducible factor-1 alpha (HIF-1α) synthesis, activation of regulatory T cells (T-regs) and production of vascular endothelial growth factor (VEGF), which can inhibit the maturation and function of dendritic cells. These mechanisms of immune escape are discussed below in more detail and summarised in Fig. 1.

Extracellular matrix composition

ECM proteins commonly found in abundance in peripheral tissues including collagens, laminins and fibronectin are typically only associated with vascular basement membranes within the CNS. Instead, predominant ECM proteins in the glioma TME include glycoproteins, hyaluronic acid and heparan sulphate proteoglycans (HSPGs), which may be concentrated in cancer stem cell niches. HSPGs, in particular, are upregulated in glioblastoma and cause retention of heparin-binding angiogenic growth factors such as fibroblast growth factor (FGF) and VEGF, the local release of which promotes tumour angiogenesis and progression. Furthermore, glioma vasculature can upregulate the vessel-associated macromolecules periostin and tenascin C (TNC), which can promote tumour survival. These macromolecules can also promote immune evasion with TNC shown to block T-cell movement across glioma-associated blood vessels, preventing their migration into brain parenchyma. Periostin, when secreted by glioma stem cells, is able to promote recruitment of tumour promoting macrophages from peripheral circulation.

Macrophages and microglia

Tumour-associated macrophages (TAMs), along with the resident CNS microglia, can constitute up to 30% of the tumour mass. Transcriptome analysis of TAMs has found that they may possess markers consistent with both M1 (classically activated or immunopermissive) and M2 (alternatively activated or immunosuppressive) phenotypes, incongruous with the traditional M1/M2 dichotomy. TAM populations can be described both functionally and spatially. For example, CNS-resident microglia exist within the TME alongside distinct populations of bone marrow-derived macrophages (outlined in Table 1), and recent research has suggested that within the TME, bone marrow-derived macrophages may localise preferentially to the perivascular niche, while resident microglia localise to peritumoural regions. Accumulation of TAMs expressing CD163 (haemoglobin scavenger receptor) and CD204 (macrophage scavenger receptor), considered ‘M2′ phenotype markers, increases as tumour grade increases. In glioblastoma, higher CD163 TAM expression correlates with poorer outcomes. Cancer stem cells in glioblastoma are able to recruit TAMs by overexpression of the macrophage/microglia cytokine colony-stimulating factor-1 (CSF-1). This induces a pro-tumourigenic microenvironment via release of immunosuppressive factors such as IL-10 and overexpression of the indoleamine 2,3-dioxygenase (IDO) enzyme., M2-TAMs also lack expression of key T-cell co-stimulation molecules and drive both tumour angiogenesis and resistance to anti-VEGF agents. Angiogenesis is driven through production of pro-angiogenic molecules including VEGF and FGF, with resistance to anti-angiogenics due to upregulation of alternative angiogenic pathways and stimulation of pericytes to proliferate in the perivascular niche. Pericytes are perivascular cells responsible for modulating blood flow, vessel permeability and remodelling, and their proliferation stabilises new vessels., TAMs can also enhance the invasiveness of glioma stem cells (GSCs) via the TGF-β1 signalling pathway. Further evidence, incongruous with the M1/M2 dichotomy, is that blockade of CSF-1R on the macrophage surface does not deplete glioblastoma TAMs in vivo, but leads to reprogramming of TAMs away from immunosuppressive phenotypes. Other emerging evidence includes the discovery of a link between tissue hypoxia and macrophage polarisation; with M1 macrophages present within normoxic tumour regions and M2 macrophages present in areas of hypoxia. These findings support the view that macrophage polarisation is not simply location dependent but instead dependent on distinct signals present in the local microenvironment. TAMs retain both plasticity and the ability to undergo reprogramming; characteristics which are potentially exploitable for therapeutic benefit.

Downregulation of MHC

An effective T-cell immune response requires antigen presentation and subsequent recognition, which is dependent on the co-expression of the human MHC proteins. Comparative analyses of gene expression profiles suggest that invading glioblastoma cells are able to escape immune recognition by downregulating expression of MHC molecules. The role of antigen presentation within the CNS is thought to fall primarily to the resident microglia, with supporting evidence in vivo demonstrating that microglia are able to cross-present tumour antigens to CD8+ T cells via MHC Class I. However, the presence of immunosuppressive cytokines such as IL-10 and TGF-ß within the glioblastoma TME cause microglia to lose MHC expression., Pericytes may also play a role in antigen presentation within the CNS, and pericyte MHC Class II expression is shown to increase in response to inflammatory cytokine release. In the TME, pericytes in contact with glioblastoma cells possess immunosuppressive functions evidenced by changes including a reduction in MHC expression and T-cell co-stimulatory signals. Low levels of MHC Class I molecules are also found on glioblastoma cancer stem cells, rendering them resistant to T-cell-mediated killing, and thus contributing towards tumour initiation, progression and resistance to therapy.

T lymphocytes

In patients with glioblastoma, increased T-cell infiltration is found in both tumour (tumour-infiltrating lymphocyte; TIL) and brain parenchyma. Studies of human tumour samples have shown that this influx is counteracted with a number of events that evade the immune response including further downregulating MHC to prevent antigen presentation, increasing expression of the inhibitory protein programmed death ligand-1 (PD-L1), and increased recruitment of immunosuppressive regulatory T cells (T-regs) which express co-inhibitory molecules including cytotoxic T lymphocyte-associated protein 4 (CTLA-4) and programmed death receptor 1 (PD-1)., Fourfold more T-regs are found in human glioblastoma samples than benign pituitary adenomas and meningiomas, with CTLA-4 expression on these T-regs threefold that on T-regs in peripheral blood. PD-L1 expression on circulating monocytes is significantly higher in patients with glioblastoma compared to healthy controls, while expression in tumour infiltrating monocytes is, on average, twice that of circulating monocytes from the same patient.

Immunological effects of standard therapy

Standard therapy for patients diagnosed with glioblastoma consists of maximal safe debulking surgery, followed by radiotherapy and temozolomide chemotherapy (RT-TMZ). In addition, high doses of glucocorticoids are frequently administered to reduce tumour-associated and radiotherapy-induced cerebral oedema. These therapies may potentially both augment or diminish immune responses.

Radiotherapy, chemotherapy and glucocorticoid therapy are independently immunosuppressive. Approximately 70% of patients experience clinically significant reductions in their circulating CD4+ lymphocyte counts following standard treatment, persisting for up to a year and associated with early tumour progression. TMZ-induced lymphopenia is considered a significant limitation to clinical translation of immunotherapies. Radiation induces M2 macrophages and activation of TGF-β.– RT-TMZ has been shown to increase PD-L1 expression in preclinical glioblastoma models, and acquired resistance to radiotherapy has been overcome by PD-L1 blockade in cancer models., Further, as well as depleting systemic lymphocyte counts, RT-TMZ also tilts the balance between regulatory and effector peripheral blood lymphocytes towards an immunosuppressive state., Corticosteroids dampen inflammatory cytokines, deplete T and B lymphocytes, reduce the effectiveness of anti-tumour therapy in rodent models, and their use is associated with poorer survival in patients with glioblastoma.–

Conversely, standard treatments have been shown to induce immune responses through favourable modulation of the TME and ‘immunogenic cell death’. In addition to cancer cell death through DNA damage and free radical generation, radiation activates an interconnected chain of processes in the TME including inflammation, hypoxia, revascularisation, ECM remodelling and fibrosis. Radiation induces pro-inflammatory cytokines such as TNF-α, IL-1β, IFN-γ,CXCL9, CXCL10 and CXCL16 which recruit T cells.– Sublethal doses of radiation promotes phenotypic changes in tumour cells that promote T-cell recognition and killing, including increasing expression of MHC Class I, co-stimulatory receptors, death receptors and heat-shock proteins.,– Further, evidence suggests RT is able to modulate the tumour vasculature and increase BBB permeability, leading to increased TIL trafficking. Abscopal responses (tumour response distant from the radiation field), while unusual, illustrate the potential for radiation-induced anti-tumour immunity., TMZ chemotherapy induces hypermutation of the tumour, and increased mutational load correlates with response to immune checkpoint inhibitors in a number of cancers including melanoma, NSCLC and urothelial cancers.– Durable responses to nivolumab were observed in a case report of two patients with high mutational burden glioblastoma resultant from biallelic mismatch repair deficiency. In murine glioma models, TMZ has been found to increase priming of tumour antigen-specific CD4 and CD8 T cells. While associated with early progression, in one study of patients with glioblastoma, lymphopenia following TMZ was associated with better survival. Clinical evidence of immune-stimulation has been observed in vaccine trials of a dendritic cell vaccination where pre-treatment with RT-TMZ increased tumour antigen-specific T cells.

This delicate balance between stimulation or suppression of immune responses by standard therapies is still being elucidated. Potentially, careful timing to permit lymphocyte recovery, dose modification or local rather than systemic administration of standard therapies may permit immune priming of tumours without negation due to immunosuppressive sequelae., Recently, adding tumour-treating fields (alternating electric fields delivered via a transducer array applied to the scalp) to standard therapy has been shown to prolong survival. Whether this may enhance immune responses is unknown and further clinical trials are underway (Table 2).

Immunotherapeutic approaches and clinical progress in glioblastoma

Early trials in glioblastoma largely administered systemic or intra-tumoural cytokines, with development limited by significant toxicity with only modest clinical benefit., Arguably the most promising of these, IFN-γ, possesses anti-proliferative, anti-angiogenic and pro-apoptotic functions and is able to increase antigen presentation through upregulation of MHC Class I and II, as well as mediating immune cell infiltration. However, IFN-γ also induces PD-L1 expression as well as promoting T-reg development. It is also possible that glioblastoma cells exploit IFN- γ through low level upregulation to induce PD-L1 expression and escape immune cell detection. These factors may help to explain why these early immunotherapeutic approaches were disappointing, and why current focus has moved towards therapies that either prime immune cells to target-specific tumour-associated antigens, or modulate the TME to reverse immune escape (Fig. 2). As yet, only two phase III trials have completed: the EGFRvIII-targeted vaccine rindopepimut in newly diagnosed glioblastoma; and the checkpoint inhibitor nivolumab in relapsed glioblastoma; with neither demonstrating survival advantage., Phase III trials of checkpoint inhibitors and dendritic cell vaccines are ongoing, with a large number of agents in earlier stages of clinical development including peptide vaccines, adoptive T-cell therapies, oncolytic viruses (OV) and combination therapies (Table 2).

Immune checkpoint inhibitors

The amplitude and quality of T-cell responses are regulated by a balance of co-inhibitory and co-stimulatory signals, termed immune checkpoints. Tumours exploit these safety mechanisms to render T cells inactive within the TME. In glioma, higher expression of PD-L1 expression correlates with increasing tumour grade and is associated with poor survival in glioblastoma. A total of 88–100% of glioblastomas express PD-L1, and it is also expressed on microglia and TAMs within the TME.,– Checkpoint inhibitors are monoclonal antibodies that either inhibit the activity of immune checkpoints, or mimic ligand binding. Checkpoint inhibitors targeting PD-1 (nivolumab/pembrolizumab), PD-L1 (atezolizumab/durvalumab/avelumab) and CTLA-4 (ipilimumab) are licensed for use in various cancers, with pembrolizumab licensed by the FDA for mismatch repair deficient and microsatellite instability-high tumours regardless of the tissue of origin. Although overall nivolumab was overall found not to improve survival in patients with relapsed glioblastoma, a small subset of patients did have a durable response, and analysis of their tumour biomarkers and immune responses may guide future trials. Initially within this trial, an exploratory cohort of patients were treated with nivolumab and ipilimumab (licensed for use in melanoma), but this combination was less well tolerated compared to nivolumab monotherapy and so was not included in the main trial. Nivolumab is currently under investigation in combination with radiation ± TMZ in newly diagnosed patients, and trials of other checkpoint inhibitors are ongoing or awaiting final results (Table 2). Early interim reports from phase II trials of pembrolizumab in relapsed glioblastoma and durvalumab with bevacizumab in newly diagnosed/relapsed glioblastoma are encouraging., Checkpoint inhibitors are associated with a variety of immune-mediated toxicities. Notably for glioblastoma, transient increases in tumour size can occur due to inflammatory infiltrates, which within the fixed size of the cranial vault may cause raised intracranial pressure, requiring urgent medical or surgical intervention.

Tumour vaccines

Cancer vaccination is achieved in several ways (Fig. 2). The first involves administering a tumour-specific antigen (or combination of antigens), which can then be trafficked to antigen-presenting cells for presentation to T cells to elicit an immune response. Drawbacks are that it is HLA subtype specific, and that it relies upon expression of the specific antigen within the patient’s tumour. The second method is to collect autologous dendritic cells, prime them ex vivo with the patient’s tumour antigens, and then administer them back into the patient intradermally; a process referred to as dendritic cell vaccination. The only vaccine therapy to have completed evaluation is rindopepimut, an EGFRvIII-targeted vaccine, which did not improve survival when administered alongside standard therapy in patients with newly diagnosed EGFRvIII mutant glioblastoma. However, an exploratory outcome found improved survival in patients with significant residual disease. Various vaccines are in earlier stages of development, and discussed more fully elsewhere, with several promising candidates. HSPPC-96, an autologous vaccine derived from antigenic tumour peptides bound to heat-shock protein, reported a promising 6 month survival rate of 90% in a phase II trial in 41 patients with recurrent glioblastoma. AFTV is an autologous vaccine derived from formalin-fixed tumour samples which reported a favourable 3 year survival rates of 38% in a phase I/IIa trial in 24 patients with newly diagnosed glioblastoma treated with AFTV in addition to standard therapy. A peptide vaccine that selected 4 of 14 pre-selected antigens based upon pre-existing antigen-specific IgG responses has demonstrated the feasibility of personalised vaccines in a phase I trial in 12 patients with recurrent glioblastoma.

T-cell therapies

Chimeric antigen receptor T-cell (CAR-T) therapy is an adoptive cell therapy in which autologous T cells are isolated, genetically modified to express chimeric receptors targeting tumour antigens, and re-administered to the patient subsequent to lymphodepletive chemotherapy. This strategy bypasses the need for MHC-dependent co-stimulation (Fig. 2) due the fusion of antigen-binding domain to T-cell activation and co-stimulatory domains. Impressive clinical responses in patients with treatment-refractory lymphoma treated with CD19-targeted CAR-T cells have led to the recent licensing of the first approved CAR therapies., However, deaths from cytokine release storms have occurred due to the potency of the immune response generated. In contrast to B cell aplasia which is tolerable, in solid tumours on-target off-tumour toxicity may cause critical organ dysfunction, which limits use to antigens that are highly tumour specific., In addition, the immunosuppressive TME in solid tumours reduces CAR-T trafficking to the tumour, and subsequent proliferation and persistence.

Early-phase clinical trials in glioblastoma are underway investigating CAR-T therapies targeting IL-13 receptor alpha 2 (IL-13Rα2), epidermal growth factor receptor variant III (EGFRvIII) and human epidermal growth factor receptor 2 (Her-2) (Table 2). IL-13Rα2 is abundantly expressed on the majority of glioblastomas in both differentiated and stem-cell like cells, with limited expression in normal brain. EGFRvIII is a mutated form of wild-type EGFR that is tumour-specific and present in approximately one quarter of patients with glioblastoma. Reported frequency of Her-2 expression in glioblastoma varies greatly from 0 to 42%.– Early reports highlight striking responses.– Other adoptive cell therapy strategies in early clinical development include cytotoxic T lymphocytes specific for antigens such as cytomegalovirus (present in over 90% of glioblastoma tumours, but not surrounding brain), lymphokine-activated cytotoxic T cells and natural killer cells.–

Current approaches to enhancing CAR-T cell therapy in solid tumours include strategies to incorporate additional intracellular signalling domains that enhance proliferation and persistence (e.g. IL-12-secreting armoured CARs) and provision of user control over T-cell immune activation to control toxicity, for example conditional CARs that require small molecule activation. CARs have also been inserted into other immune cell subsets (e.g. CAR-NK cells) with promising preclinical reports.,

Oncolytic viruses

OVs are native or genetically engineered viruses that promote anti-tumour responses through selective replication within cancers cells resulting in cell lysis or immunogenic cell death., Glioblastoma is susceptible to OVs in preclinical models.– Overcoming viral exclusion by the blood–brain barrier has been achieved by direct tumour injection of OVs, or by using viruses known to have good CNS penetration (e.g. parvovirus). Early phase trials have established OVs as safe in glioblastoma, but as yet efficacy has been modest. Current strategies are focussing on targeted OVs and combination therapy (Table 2).,

Bevacizumab

Bevacizumab is an anti-VEGF monoclonal antibody. It is used as a steroid-sparing agent in glioblastoma for the management of cerebral oedema, although has not demonstrated a survival benefit and is licensed outside of the EU for this indication.– As well as modulating vasculature, VEGF inhibits dendritic cell maturation, antigen presentation, and lymphocyte trafficking into tumours., As such, bevacizumab is finding a new role as an adjunct to immunotherapies, possibly via the normalisation of tumour vasculature and induction of high endothelial venule (HEV) formation within tumours, both of which facilitate T-cell infiltration and activation., Anti-VEGF therapy induces transient tumour vessel normalisation, but studies support that lower doses than those routinely used in clinical practice result in a longer ‘normalisation window’. Combination ipilimumab and bevacizumab in patients with melanoma suggests VEGF inhibition enhances anti-tumour immune responses. Several combination anti-VEGF/immunotherapy studies are underway in glioblastoma (Table 2), with interim data from a phase II trial of the anti-PD-L1 agent durvalumab in combination with bevacizumab reporting apparent clinical activity in a subset of bevacizumab-naive patients.

Conclusions and future directions

Cancer treatment is moving towards personalised care with the ability to therapeutically target-specific tumour characteristics. Immunotherapies currently in clinical development will likely benefit a subset of patients with glioblastoma; however, no reliable biomarker currently exists to predict these patients.

Unlike most cancers, glioblastomas rarely metastasise, affording the unusual opportunity of potentially using localised therapy for advanced disease. Based on observations in melanoma that increased tumour burden correlates with a poorer response to the anti-PD-1 antibody pembrolizumab, it is possible that surgical debulking in glioblastoma may enhance the effectiveness of immunotherapy by diminishing the immunosuppressive TME. Ongoing trials of nivolumab in newly diagnosed glioblastoma that are stratified by the extent of resection may provide insight. If so, the role of surgery may be extended to recurrent disease (when it is not routinely performed) as an adjunct to immunotherapy.

Various devices are available to bypass the BBB and deliver therapies directly into a tumour or tumour cavity, reducing systemic toxicity, and potentially modulating the TME more favourably than systemic treatment.– Intracranial administration via catheter delivery is currently under investigation in clinical trials of CAR-T cell therapy, with case reports of clinical efficacy.

There are also new avenues being explored to augment the efficacy of immunotherapy. Recent evidence shows that distinct gut microbial composition, or microbiome can affect and even enhance responses to checkpoint inhibitors, and that depletion of intestinal bacteria with antibiotics can diminish the patient’s response to immunotherapy., Future breakthroughs could manipulate the microbiome towards a status that promotes anti-tumour immune responses. Another growing field is thermal therapy, with evidence that hyperthermia can mediate immunogenic cell death. It is also critical that the TME if fully characterised to determine how it can be further targeted for cancer immunotherapy. T-cell metabolism is a developing field, and a promising therapeutic target is IDO, a tryptophan catabolic enzyme overexpressed in several tumour types that is thought to create an immunosuppressive microenvironment by inhibiting T-cell immunity.,

Tumour heterogeneity is well characterised in glioblastoma, and may contribute towards immune cell heterogeneity within tumours., Glioblastoma heterogeneity is at least partly maintained by extracellular vesicles (EVs) that contain molecules including DNA, RNA and proteins. The shedding and uptake of these vesicles from tumour cells form an additional communication network capable of modulating the TME. Recent evidence has also shown that PD-L1 is expressed on glioblastoma EVs., Further, vascular heterogeneity exists, with vessel co-option (glioblastoma migration along existing blood vessels) occurring alongside angiogenesis, increasing the complexity of heterogeneity within glioblastoma. Further research into these factors, including utility of techniques such as single-cell RNA sequencing to characterise both tumour, and immune cell heterogeneity, may facilitate a future shift towards more personalised treatment.

In summary, the CNS has an active immune system and glioblastoma employs a number of strategies to evade immune-mediated death. To design therapies that effectively harness the immune system against glioblastoma, a deeper understanding of the complex interactions between tumours and the tightly regulated immune system in the CNS is needed. Future therapies will need to address multi-dimensional challenges including identifying truly tumour-specific antigens to target, increasing tumour immunogenicity, targeting the immune microenvironment and controlling toxicity of therapy.

References 164

  1. 1.

    Louis DN, et al. The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol. 2016;131:803-820.

    Not in our library10.1007/s00401-016-1545-1

  2. 2.

    Stupp R, et al. Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. Lancet Oncol. 2009;10:459-466.

    Not in our library10.1016/s1470-2045(09)70025-7

  3. 3.

    Chen R., Cohen A. L., Colman H. Targeted therapeutics in patients with high-grade gliomas: past, present, and future. Curr. Treat. Options Oncol.17, 42 (2016).

    Not in our library10.1007/s11864-016-0418-0

  4. 4.
  5. 5.

    Coulie PG, Van den Eynde BJ, Van Der Bruggen P, Boon T. Tumour antigens recognized by T lymphocytes: at the core of cancer immunotherapy. Nat. Rev. Cancer. 2014;14:135.

    Not in our library10.1038/nrc3670

  6. 6.

    Lakshmi Narendra B, Eshvendar Reddy K, Shantikumar S, Ramakrishna S. Immune system: a double-edged sword in cancer. Inflamm. Res. 2013;62:823-834.

    Not in our library10.1007/s00011-013-0645-9

  7. 7.
  8. 8.

    Heimberger AB, Sampson JH. Immunotherapy coming of age: what will it take to make it standard of care for glioblastoma? Neuro. Oncol. 2011;13:3-13.

    Not in our library10.1093/neuonc/noq169

  9. 9.

    Chandramohan V, Mitchell DA, Johnson LA, Sampson JH, Bigner DD. Antibody, T-cell and dendritic cell immunotherapy for malignant brain tumors. Future Oncol. 2013;9:977-990.

    Not in our library10.2217/fon.13.47

  10. 10.

    Quail DF, Joyce JA. The microenvironmental landscape of brain tumors. Cancer Cell. 2017;31:326-341.

    Not in our library10.1016/j.ccell.2017.02.009

  11. 11.
  12. 12.

    Reinhard J, Brösicke N, Theocharidis U, Faissner A. The extracellular matrix niche microenvironment of neural and cancer stem cells in the brain. Int. J. Biochem. Cell Biol. 2016;81:174-183.

    Not in our library10.1016/j.biocel.2016.05.002

  13. 13.

    Wade A, et al. Proteoglycans and their roles in brain cancer. FEBS J. 2013;280:2399-2417.

    Not in our library10.1111/febs.12109

  14. 14.

    Kundu S, et al. Heparanase promotes glioma progression and is inversely correlated with patient survival. Mol. Cancer Res. 2016;14:1243-1253.

    Not in our library10.1158/1541-7786.mcr-16-0223

  15. 15.

    Oskarsson T, Batlle E, Massagué J. Metastatic stem cells: sources, niches, and vital pathways. Cell Stem Cell. 2014;14:306-321.

    Not in our library10.1016/j.stem.2014.02.002

  16. 16.

    Huang JY, et al. Extracellular matrix of glioblastoma inhibits polarization and transmigration of T cells: the role of tenascin-C in immune suppression. J. Immunol. 2010;185:1450-1459.

    Not in our library10.4049/jimmunol.0901352

  17. 17.

    Zhou W, et al. Periostin secreted by glioblastoma stem cells recruits M2 tumour-associated macrophages and promotes malignant growth. Nat. Cell Biol. 2015;17:170-182.

    Not in our library10.1038/ncb3090

  18. 18.

    Noy R, Pollard JW. Tumor-associated macrophages: from mechanisms to therapy. Immunity. 2014;41:49-61.

    Not in our library10.1016/j.immuni.2014.06.010

  19. 19.

    Bowman RL, Joyce JA. Therapeutic targeting of tumor-associated macrophages and microglia in glioblastoma. Immunotherapy. 2014;6:663-666.

    Not in our library10.2217/imt.14.48

  20. 20.

    Chen Z, et al. Cellular and molecular identity of tumor-associated macrophages in glioblastoma. Cancer Res. 2017;77:2266-2278.

    Not in our library10.1158/0008-5472.can-16-2310

  21. 21.

    Komohara Y, Ohnishi K, Kuratsu J, Takeya M. Possible involvement of the M2 anti‐inflammatory macrophage phenotype in growth of human gliomas. J. Pathol. 2008;216:15-24.

    Not in our library10.1002/path.2370

  22. 22.

    De I, et al. CSF1 overexpression promotes high-grade glioma formation without impacting the polarization status of glioma-associated microglia and macrophages. Cancer Res. 2016;76:2552-2560.

    Not in our library10.1158/0008-5472.can-15-2386

  23. 23.

    Komohara Y, Jinushi M, Takeya M. Clinical significance of macrophage heterogeneity in human malignant tumors. Cancer Sci. 2014;105:1-8.

    Not in our library10.1111/cas.12314

  24. 24.

    Hussain SF, et al. The role of human glioma-infiltrating microglia/macrophages in mediating antitumor immune responses. Neuro. Oncol. 2006;8:261-279.

    Not in our library10.1215/15228517-2006-008

  25. 25.

    Brandenburg S, et al. Resident microglia rather than peripheral macrophages promote vascularization in brain tumors and are source of alternative pro-angiogenic factors. Acta Neuropathol. 2016;131:365-378.

    Not in our library10.1007/s00401-015-1529-6

  26. 26.

    Bergers G, Hanahan D. Modes of resistance to anti-angiogenic therapy. Nat. Rev. Cancer. 2008;8:592.

    Not in our library10.1038/nrc2442

  27. 27.

    X-z Ye, et al. Tumor-associated microglia/macrophages enhance the invasion of glioma stem-like cells via TGF-β1 signaling pathway. J. Immunol. 2012;189:444-453.

    Not in our library10.4049/jimmunol.1103248

  28. 28.

    Pyonteck SM, et al. CSF-1R inhibition alters macrophage polarization and blocks glioma progression. Nat. Med. 2013;19:1264.

    Not in our library10.1038/nm.3337

  29. 29.

    Geissmann F, et al. Development of monocytes, macrophages, and dendritic cells. Science. 2010;327:656-661.

    Not in our library10.1126/science.1178331

  30. 30.

    Mantovani A, Biswas SK, Galdiero MR, Sica A, Locati M. Macrophage plasticity and polarization in tissue repair and remodelling. J. Pathol. 2013;229:176-185.

    Not in our library10.1002/path.4133

  31. 31.

    Venteicher AS, et al. Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq. Science. 2017;355:eaai8478.

    Not in our library10.1126/science.aai8478

  32. 32.

    Mantovani A, Marchesi F, Malesci A, Laghi L, Allavena P. Tumour-associated macrophages as treatment targets in oncology. Nat. Rev. Clin. Oncol. 2017;14:399.

    Not in our library10.1038/nrclinonc.2016.217

  33. 33.
  34. 34.

    Jarry U, et al. Efficiently stimulated adult microglia cross‐prime naive CD8+T cells injected in the brain. Eur. J. Immunol. 2013;43:1173-1184.

    Not in our library10.1002/eji.201243040

  35. 35.

    Roy LO, Poirier MB, Fortin D. Transforming growth factor-beta and its implication in the malignancy of gliomas. Target Oncol. 2015;10:1-14.

    Not in our library10.1007/s11523-014-0308-y

  36. 36.

    Pieper C, Marek JJ, Unterberg M, Schwerdtle T, Galla HJ. Brain capillary pericytes contribute to the immune defense in response to cytokines or LPS in vitro. Brain Res. 2014;1550:1-8.

    Not in our library10.1016/j.brainres.2014.01.004

  37. 37.

    Valdor R, et al. Glioblastoma progression is assisted by induction of immunosuppressive function of pericytes through interaction with tumor cells. Oncotarget. 2017;8:68614.

    Not in our library10.18632/oncotarget.19804

  38. 38.

    Di Tomaso T, et al. Immunobiological characterization of cancer stem cells isolated from glioblastoma patients. Clin. Cancer Res. 2010;16:800-813.

    Not in our library10.1158/1078-0432.ccr-09-2730

  39. 39.

    Ampie L, Woolf EC, Dardis C. Immunotherapeutic advancements for glioblastoma. Front. Oncol. 2015;5:12.

    Not in our library10.3389/fonc.2015.00012

  40. 40.

    Leone P, et al. MHC class I antigen processing and presenting machinery: organization, function, and defects in tumor cells. J. Natl Cancer Inst. 2013;105:1172-1187.

    Not in our library10.1093/jnci/djt184

  41. 41.

    Bloch O, et al. Gliomas promote immunosuppression through induction of B7-H1 expression in tumor-associated macrophages. Clin. Cancer Res. 2013;19:3165-3175.

    Not in our library10.1158/1078-0432.ccr-12-3314

  42. 42.

    Jacobs JF, et al. Regulatory T cells and the PD-L1/PD-1 pathway mediate immune suppression in malignant human brain tumors. Neuro. Oncol. 2009;11:394-402.

    Not in our library10.1215/15228517-2008-104

  43. 43.

    Reardon DA, et al. Immunotherapy advances for glioblastoma. Neuro. Oncol. 2014;16:1441-1458.

    Not in our library10.1093/neuonc/nou212

  44. 44.

    Grossman SA, et al. Immunosuppression in patients with high-grade gliomas treated with radiation and temozolomide. Clin. Cancer Res. 2011;17:5473-5480.

    Not in our library10.1158/1078-0432.ccr-11-0774

  45. 45.

    Tsai CS, et al. Macrophages from irradiated tumors express higher levels of iNOS, arginase-I and COX-2, and promote tumor growth. Int. J. Radiat. Oncol. Biol. Phys. 2007;68:499-507.

    Not in our library10.1016/j.ijrobp.2007.01.041

  46. 46.
  47. 47.

    Jobling MF, et al. Isoform-specific activation of latent transforming growth factor beta (LTGF-beta) by reactive oxygen species. Radiat. Res. 2006;166:839-848.

    Not in our library10.1667/rr0695.1

  48. 48.
  49. 49.

    Dovedi SJ, et al. Acquired resistance to fractionated radiotherapy can be overcome by concurrent PD-L1 blockade. Cancer Res. 2014;74:5458-5468.

    Not in our library10.1158/0008-5472.can-14-1258

  50. 50.

    Fadul CE, et al. Immune modulation effects of concomitant temozolomide and radiation therapy on peripheral blood mononuclear cells in patients with glioblastoma multiforme. Neuro. Oncol. 2011;13:393-400.

    Not in our library10.1093/neuonc/noq204

  51. 51.

    Schaue D, Xie MW, Ratikan JA, McBride WH. Regulatory T cells in radiotherapeutic responses. Front. Oncol. 2012;2:90.

    Not in our library10.3389/fonc.2012.00090

  52. 52.
  53. 53.

    Benedetti S, et al. Dexamethasone inhibits the anti-tumor effect of interleukin 4 on rat experimental gliomas. Gene Ther. 2003;10:188-192.

    Not in our library10.1038/sj.gt.3301863

  54. 54.

    Wong ET, Lok E, Gautam S, Swanson KD. Dexamethasone exerts profound immunologic interference on treatment efficacy for recurrent glioblastoma. Br. J. Cancer. 2015;113:232-241.

    Not in our library10.1038/bjc.2015.238

  55. 55.

    Barker HE, Paget JT, Khan AA, Harrington KJ. The tumour microenvironment after radiotherapy: mechanisms of resistance and recurrence. Nat. Rev. Cancer. 2015;15:409-425.

    Not in our library10.1038/nrc3958

  56. 56.

    Formenti SC, Demaria S. Combining radiotherapy and cancer immunotherapy: a paradigm shift. J. Natl Cancer Inst. 2013;105:256-265.

    Not in our library10.1093/jnci/djs629

  57. 57.

    Demaria S, Formenti SC. Sensors of ionizing radiation effects on the immunological microenvironment of cancer. Int. J. Radiat. Biol. 2007;83:819-825.

    Not in our library10.1080/09553000701481816

  58. 58.

    McBride WH, et al. A sense of danger from radiation. Radiat. Res. 2004;162:1-19.

    Not in our library10.1667/rr3196

  59. 59.

    Garnett CT, et al. Sublethal irradiation of human tumor cells modulates phenotype resulting in enhanced killing by cytotoxic T lymphocytes. Cancer Res. 2004;64:7985-7994.

    Not in our library10.1158/0008-5472.can-04-1525

  60. 60.

    Chakraborty M, et al. Irradiation of tumor cells up-regulates Fas and enhances CTL lytic activity and CTL adoptive immunotherapy. J. Immunol. 2003;170:6338-6347.

    Not in our library10.4049/jimmunol.170.12.6338

  61. 61.

    Reits EA, et al. Radiation modulates the peptide repertoire, enhances MHC class I expression, and induces successful antitumor immunotherapy. J. Exp. Med. 2006;203:1259-1271.

    Not in our library10.1084/jem.20052494

  62. 62.

    Vereecque R, et al. γ-ray irradiation induces B7.1 expression in myeloid leukaemic cells. Br. J. Haematol. 2000;108:825-831.

    Not in our library10.1046/j.1365-2141.2000.01967.x

  63. 63.

    Weiss T, Weller M, Roth P. Immunological effects of chemotherapy and radiotherapy against brain tumors. Expert Rev. Anticancer Ther. 2016;16:1087-1094.

    Not in our library10.1080/14737140.2016.1229600

  64. 64.

    Sahebjam S, Sharabi A, Lim M, Kesarwani P, Chinnaiyan P. Immunotherapy and radiation in glioblastoma. J. Neurooncol. 2017;134:531-539.

    Not in our library10.1007/s11060-017-2413-0

  65. 65.

    Fernandez-Palomo C, et al. Bystander effects in tumor-free and tumor-bearing rat brains following irradiation by synchrotron X-rays. Int. J. Radiat. Biol. 2013;89:445-453.

    Not in our library10.3109/09553002.2013.766770

  66. 66.

    Preusser M, Lim M, Hafler DA, Reardon DA, Sampson JH. Prospects of immune checkpoint modulators in the treatment of glioblastoma. Nat. Rev. Neurol. 2015;11:504-514.

    Not in our library10.1038/nrneurol.2015.139

  67. 67.

    Stepanenko AA, et al. Temozolomide promotes genomic and phenotypic changes in glioblastoma cells. Cancer Cell. Int. 2016;16:36.

    Not in our library10.1186/s12935-016-0311-8

  68. 68.

    Yarchoan M, Hopkins A, Jaffee EM. Tumor mutational burden and response rate to PD-1 inhibition. N. Engl. J. Med. 2017;377:2500-2501.

    Not in our library10.1056/nejmc1713444

  69. 69.

    Van Allen EM, et al. Genomic correlates of response to CTLA-4 blockade in metastatic melanoma. Science. 2015;350:207-211.

    Not in our library10.1126/science.aad0095

  70. 70.

    Rizvi NA, et al. Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer. Science. 2015;348:124-128.

    Not in our library10.1126/science.aaa1348

  71. 71.

    Rosenberg JE, et al. Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial. Lancet. 2016;387:1909-1920.

    Not in our library10.1016/s0140-6736(16)00561-4

  72. 72.

    Bouffet E, et al. Immune checkpoint inhibition for hypermutant glioblastoma multiforme resulting from germline biallelic mismatch repair deficiency. J. Clin. Oncol. 2016;34:2206-2211.

    Not in our library10.1200/jco.2016.66.6552

  73. 73.

    Kim TG, et al. Immunological factors relating to the antitumor effect of temozolomide chemoimmunotherapy in a murine glioma model. Clin. Vaccine Immunol. 2010;17:143-153.

    Not in our library10.1128/cvi.00292-09

  74. 74.

    Vaios EJ, Nahed BV, Muzikansky A, Fathi AT, Dietrich J. Bone marrow response as a potential biomarker of outcomes in glioblastoma patients. J. Neurosurg. 2017;127:132-138.

    Not in our library10.3171/2016.7.jns16609

  75. 75.

    Fadul CE, et al. Immune response in patients with newly diagnosed glioblastoma multiforme treated with intranodal autologous tumor lysate-dendritic cell vaccination after radiation chemotherapy. J. Immunother. 2011;34:382-389.

    Not in our library10.1097/cji.0b013e318215e300

  76. 76.

    Mathios D, et al. Anti–PD-1 antitumor immunity is enhanced by local and abrogated by systemic chemotherapy in GBM. Sci. Transl. Med. 2016;8:370ra180.

    Not in our library10.1126/scitranslmed.aag2942

  77. 77.

    Stupp R, et al. Effect of tumor-treating fields plus maintenance temozolomide vs maintenance temozolomide alone on survival in patients with glioblastoma: a randomized clinical trial. JAMA. 2017;318:2306-2316.

    Not in our library10.1001/jama.2017.18718

  78. 78.

    Hottinger AF, Pacheco P, Stupp R. Tumor treating fields: a novel treatment modality and its use in brain tumors. Neuro. Oncol. 2016;18:1338-1349.

    Not in our library10.1093/neuonc/now182

  79. 79.
  80. 80.

    Rand RW, et al. Intratumoral administration of recombinant circularly permuted interleukin-4-Pseudomonas exotoxin in patients with high-grade glioma. Clin. Cancer Res. 2000;6:2157-2165.

    Not in our library

  81. 81.

    Zaidi MR, Merlino G. The two faces of interferon-γ in cancer. Clin. Cancer Res. 2011;17:6118-6124.

    Not in our library10.1158/1078-0432.ccr-11-0482

  82. 82.

    Zhu VF, Yang J, LeBrun DG, Li M. Understanding the role of cytokines in glioblastoma multiforme pathogenesis. Cancer Lett. 2012;316:139-150.

    Not in our library10.1016/j.canlet.2011.11.001

  83. 83.
  84. 84.

    Reardon DA, et al. OS10.3 randomized phase 3 study evaluating the efficacy and safety of nivolumab vs bevacizumab in patients with recurrent glioblastoma: CheckMate 143. Neuro. Oncol. 2017;19:iii21-iii21.

    Not in our library10.1093/neuonc/nox036.071

  85. 85.

    Weller M, et al. Rindopepimut with temozolomide for patients with newly diagnosed, EGFRvIII-expressing glioblastoma (ACT IV): a randomised, double-blind, international phase 3 trial. Lancet Oncol. 2017;18:1373-1385.

    Not in our library10.1016/s1470-2045(17)30517-x

  86. 86.

    Wilmotte R, et al. B7-homolog 1 expression by human glioma: a new mechanism of immune evasion. Neuroreport. 2005;16:1081-1085.

    Not in our library10.1097/00001756-200507130-00010

  87. 87.

    Berghoff AS, et al. Programmed death ligand 1 expression and tumor-infiltrating lymphocytes in glioblastoma. Neuro. Oncol. 2015;17:1064-1075.

    Not in our library10.1093/neuonc/nou307

  88. 88.

    Wei B, et al. The upregulation of programmed death 1 on peripheral blood T cells of glioma is correlated with disease progression. Tumour Biol. 2014;35:2923-2929.

    Not in our library10.1007/s13277-013-1376-9

  89. 89.

    Xue S, Song G, Yu J. The prognostic significance of PD-L1 expression in patients with glioma: a meta-analysis. Sci. Rep. 2017;7:4231.

    Not in our library10.1038/s41598-017-04023-x

  90. 90.

    Omuro A, et al. Nivolumab with or without ipilimumab in patients with recurrent glioblastoma: results from exploratory phase I cohorts of CheckMate 143. Neuro. Oncol. 2018;20:674-686.

    Not in our library10.1093/neuonc/nox208

  91. 91.

    Reardon DA, et al. Phase 2 study to evaluate safety and efficacy of MEDI4736 (durvalumab [DUR]) in glioblastoma (GBM) patients: an update. J. Clin. Oncol. 2017;35:2042.

    Not in our library10.1200/jco.2017.35.15_suppl.2042

  92. 92.

    Reardon DA, et al. ATIM-35. Results of the phase IB keynote-028 multi-cohort trial of pembrolizumab monotherapy in patients with recurrent PD-L1-positive glioblastoma multiforme (GBM). Neuro. Oncol. 2016;18:vi25-vi26.

    Not in our library10.1093/neuonc/now212.100

  93. 93.

    Haanen J, et al. Management of toxicities from immunotherapy: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann. Oncol. 2017;28:iv119-iv142.

    Not in our library10.1093/annonc/mdx225

  94. 94.

    Zhu X, et al. Severe cerebral edema following nivolumab treatment for pediatric glioblastoma: case report. J. Neurosurg. Pediatr. 2017;19:249-253.

    Not in our library10.3171/2016.8.peds16326

  95. 95.

    Melief CJ, van Hall T, Arens R, Ossendorp F, van der Burg SH. Therapeutic cancer vaccines. J. Clin. Invest. 2015;125:3401-3412.

    Not in our library10.1172/jci80009

  96. 96.

    Winograd EK, Ciesielski MJ, Fenstermaker RA. Novel vaccines for glioblastoma: clinical update and perspective. Immunotherapy. 2016;8:1293-1308.

    Not in our library10.2217/imt-2016-0059

  97. 97.

    Bloch O, et al. Heat-shock protein peptide complex-96 vaccination for recurrent glioblastoma: a phase II, single-arm trial. Neuro. Oncol. 2014;16:274-279.

    Not in our library10.1093/neuonc/not203

  98. 98.

    Ishikawa E, et al. Phase I/IIa trial of fractionated radiotherapy, temozolomide, and autologous formalin-fixed tumor vaccine for newly diagnosed glioblastoma. J. Neurosurg. 2014;121:543-553.

    Not in our library10.3171/2014.5.jns132392

  99. 99.

    Terasaki M, et al. Phase I trial of a personalized peptide vaccine for patients positive for human leukocyte antigen–A24 with recurrent or progressive glioblastoma multiforme. J. Clin. Oncol. 2011;29:337-344.

    Not in our library10.1200/jco.2010.29.7499

  100. 100.

    Lim WA, June CH. The principles of engineering immune cells to treat cancer. Cell. 2017;168:724-740.

    Not in our library10.1016/j.cell.2017.01.016

  101. 101.

    Schuster SJ, et al. Chimeric antigen receptor T cells in refractory B-cell lymphomas. N. Engl. J. Med. 2017;377:2545-2554.

    Not in our library10.1056/nejmoa1708566

  102. 102.

    Neelapu SS, et al. Axicabtagene ciloleucel CAR T-cell therapy in refractory large B-cell lymphoma. N. Engl. J. Med. 2017;377:2531-2544.

    Not in our library10.1056/nejmoa1707447

  103. 103.

    Brudno JN, Kochenderfer JN. Toxicities of chimeric antigen receptor T cells: recognition and management. Blood. 2016;127:3321-3330.

    Not in our library10.1182/blood-2016-04-703751

  104. 104.

    Garber K. Driving T-cell immunotherapy to solid tumors. Nat. Biotechnol. 2018;36:215-219.

    Not in our library10.1038/nbt.4090

  105. 105.

    Thaci B, et al. Significance of interleukin-13 receptor alpha 2–targeted glioblastoma therapy. Neuro. Oncol. 2014;16:1304-1312.

    Not in our library10.1093/neuonc/nou045

  106. 106.

    Wikstrand CJ, Reist CJ, Archer GE, Zalutsky MR, Bigner DD. The class III variant of the epidermal growth factor receptor (EGFRvIII): characterization and utilization as an immunotherapeutic target. J. Neurovirol. 1998;4:148-158.

    Not in our library10.3109/13550289809114515

  107. 107.

    Zhang C, et al. ErbB2/HER2-specific NK cells for targeted therapy of glioblastoma. J. Natl Cancer Inst. 2016;108:djv375.

    Not in our library10.1093/jnci/djv375

  108. 108.
  109. 109.

    Yan M, Parker BA, Schwab R, Kurzrock R. HER2 aberrations in cancer: Implications for therapy. Cancer Treat. Rev. 2014;40:770-780.

    Not in our library10.1016/j.ctrv.2014.02.008

  110. 110.

    Ahmed N, et al. Her2-specific chimeric antigen receptor–modified virus-specific t cells for progressive glioblastoma: a phase 1 dose-escalation trial. JAMA Oncol. 2017;3:1094-1101.

    Not in our library10.1001/jamaoncol.2017.0184

  111. 111.

    O’rourke DM, et al. A single dose of peripherally infused EGFRvIII-directed CAR T cells mediates antigen loss and induces adaptive resistance in patients with recurrent glioblastoma. Sci. Transl. Med. 2017;9:eaaa0984.

    Not in our library10.1126/scitranslmed.aaa0984

  112. 112.

    Brown CE, et al. Regression of glioblastoma after chimeric antigen receptor T-cell therapy. N. Engl. J. Med. 2016;375:2561-2569.

    Not in our library10.1056/nejmoa1610497

  113. 113.

    Bielamowicz K, Khawja S, Ahmed N. Adoptive cell therapies for glioblastoma. Front. Oncol. 2013;3:275.

    Not in our library10.3389/fonc.2013.00275

  114. 114.

    Schuessler A, et al. Autologous T-cell therapy for cytomegalovirus as a consolidative treatment for recurrent glioblastoma. Cancer Res. 2014;74:3466-3476.

    Not in our library10.1158/0008-5472.can-14-0296

  115. 115.

    Mitchell DA, et al. Sensitive detection of human cytomegalovirus in tumors and peripheral blood of patients diagnosed with glioblastoma. Neuro. Oncol. 2008;10:10-18.

    Not in our library10.1215/15228517-2007-035

  116. 116.

    Jackson HJ, Rafiq S, Brentjens RJ. Driving CAR T-cells forward. Nat. Rev. Clin. Oncol. 2016;13:370-383.

    Not in our library10.1038/nrclinonc.2016.36

  117. 117.
  118. 118.

    Genssler S, et al. Dual targeting of glioblastoma with chimeric antigen receptor-engineered natural killer cells overcomes heterogeneity of target antigen expression and enhances antitumor activity and survival. Oncoimmunology. 2016;5:e1119354.

    Not in our library10.1080/2162402x.2015.1119354

  119. 119.

    Kaufman HL, Kohlhapp FJ, Zloza A. Oncolytic viruses: a new class of immunotherapy drugs. Nat. Rev. Drug Discov. 2015;14:642.

    Not in our library10.1038/nrd4663

  120. 120.
  121. 121.

    Martuza RL, Malick A, Markert JM, Ruffner KL, Coen DM. Experimental therapy of human glioma by means of a genetically engineered virus mutant. Science. 1991;252:854-856.

    Not in our library10.1126/science.1851332

  122. 122.

    Post DE, et al. Targeted cancer gene therapy using a hypoxia inducible factor dependent oncolytic adenovirus armed with interleukin-4. Cancer Res. 2007;67:6872-6881.

    Not in our library10.1158/0008-5472.can-06-3244

  123. 123.

    Leber MF, et al. MicroRNA-sensitive oncolytic measles viruses for cancer-specific vector tropism. Mol. Ther. 2011;19:1097-1106.

    Not in our library10.1038/mt.2011.55

  124. 124.
  125. 125.

    Wollmann G, Ozduman K, van den Pol AN. Oncolytic virus therapy of glioblastoma multiforme – concepts and candidates. Cancer J. 2012;18:69-81.

    Not in our library10.1097/ppo.0b013e31824671c9

  126. 126.

    Uchida H, et al. Effective treatment of an orthotopic xenograft model of human glioblastoma using an EGFR-retargeted oncolytic herpes simplex virus. Mol. Ther. 2013;21:561-569.

    Not in our library10.1038/mt.2012.211

  127. 127.

    Saha D, et al. Combinatorial effects of VEGFR kinase inhibitor axitinib and oncolytic virotherapy in mouse and human glioblastoma stem-like cell models. Clin. Cancer Res. 2018;24:3409-3422.

    Not in our library10.1158/1078-0432.ccr-17-1717

  128. 128.

    Weller M, et al. European Association for Neuro-Oncology (EANO) guideline on the diagnosis and treatment of adult astrocytic and oligodendroglial gliomas. Lancet Oncol. 2017;18:e315-e329.

    Not in our library10.1016/s1470-2045(17)30194-8

  129. 129.

    Gilbert MR, et al. A randomized trial of bevacizumab for newly diagnosed glioblastoma. N. Engl. J. Med. 2014;370:699-708.

    Not in our library10.1056/nejmoa1308573

  130. 130.

    Chinot OL, et al. Bevacizumab plus radiotherapy-temozolomide for newly diagnosed glioblastoma. N. Engl. J. Med. 2014;370:709-722.

    Not in our library10.1056/nejmoa1308345

  131. 131.

    Oyama T, et al. Vascular endothelial growth factor affects dendritic cell maturation through the inhibition of nuclear factor-κB activation in hemopoietic progenitor cells. J. Immunol. 1998;160:1224-1232.

    Not in our library

  132. 132.

    Ohm JE, Carbone DP. VEGF as a mediator of tumor-associated immunodeficiency. Immunol. Res. 2001;23:263-272.

    Not in our library10.1385/ir:23:2-3:263

  133. 133.

    Jain RK. Antiangiogenesis strategies revisited: from starving tumors to alleviating hypoxia. Cancer Cell. 2014;26:605-622.

    Not in our library10.1016/j.ccell.2014.10.006

  134. 134.

    Allen E, et al. Combined antiangiogenic and anti–PD-L1 therapy stimulates tumor immunity through HEV formation. Sci. Transl. Med. 2017;9:eaak9679.

    Not in our library10.1126/scitranslmed.aak9679

  135. 135.

    Fukumura D, Kloepper J, Amoozgar Z, Duda DG, Jain RK. Enhancing cancer immunotherapy using antiangiogenics: opportunities and challenges. Nat. Rev. Clin. Oncol. 2018;15:325-340.

    Not in our library10.1038/nrclinonc.2018.29

  136. 136.

    Hodi FS, et al. Bevacizumab plus ipilimumab in patients with metastatic melanoma. Cancer Immunol. Res. 2014;2:632-642.

    Not in our library10.1158/2326-6066.cir-14-0053

  137. 137.

    Awan M, et al. Extra-CNS metastasis from glioblastoma: a rare clinical entity. Expert Rev. Anticancer Ther. 2015;15:545-552.

    Not in our library10.1586/14737140.2015.1028374

  138. 138.

    Huang AC, et al. T-cell invigoration to tumour burden ratio associated with anti-PD-1 response. Nature. 2017;545:60-65.

    Not in our library10.1038/nature22079

  139. 139.

    Barua NU, Gill SS, Love S. Convection-enhanced drug delivery to the brain: therapeutic potential and neuropathological considerations. Brain Pathol. 2014;24:117-127.

    Not in our library10.1111/bpa.12082

  140. 140.

    Qiao J, et al. Intratumoral oncolytic adenoviral treatment modulates the glioma microenvironment and facilitates systemic tumor-antigen-specific T cell therapy. Oncoimmunology. 2015;4:e1022302.

    Not in our library10.1080/2162402x.2015.1022302

  141. 141.

    Vogelbaum, M. A. et al. First-in-human evaluation of the Cleveland Multiport Catheter for convection-enhanced delivery of topotecan in recurrent high-grade glioma: results of pilot trial 1. J. Neurosurg. 10.3171/2017.10.JNS171845 (2018)

    Not in our library10.3171/2017.10.jns171845

  142. 142.

    Sears CL, Pardoll DM. The intestinal microbiome influences checkpoint blockade. Nat. Med. 2018;24:254.

    Not in our library10.1038/nm.4511

  143. 143.

    Nelson, M. H., Diven, M. A., Huff, L. W. & Paulos, C. M. Harnessing the microbiome to enhance cancer immunotherapy. J. Immunol. Res.2015, 368736 (2015).

    Not in our library10.1155/2015/368736

  144. 144.

    Cogdill AP, Andrews MC, Wargo JA. Hallmarks of response to immune checkpoint blockade. Br. J. Cancer. 2017;117:1.

    Not in our library10.1038/bjc.2017.136

  145. 145.

    Pitt JM, et al. Resistance mechanisms to immune-checkpoint blockade in cancer: tumor-intrinsic and-extrinsic factors. Immunity. 2016;44:1255-1269.

    Not in our library10.1016/j.immuni.2016.06.001

  146. 146.

    Evans SS, Repasky EA, Fisher DT. Fever and the thermal regulation of immunity: the immune system feels the heat. Nat. Rev. Immunol. 2015;15:335-349.

    Not in our library10.1038/nri3843

  147. 147.

    Sheridan C. IDO inhibitors move center stage in immuno-oncology. Nat. Biotechnol. 2015;33:321-322.

    Not in our library10.1038/nbt0415-321

  148. 148.

    Chang CH, Pearce EL. Emerging concepts of T cell metabolism as a target of immunotherapy. Nat. Immunol. 2016;17:364.

    Not in our library10.1038/ni.3415

  149. 149.

    Aldape K, Zadeh G, Mansouri S, Reifenberger G, von Deimling A. Glioblastoma: pathology, molecular mechanisms and markers. Acta Neuropathol. 2015;129:829-848.

    Not in our library10.1007/s00401-015-1432-1

  150. 150.

    Doucette T, et al. Immune heterogeneity of glioblastoma subtypes: extrapolation from the cancer genome atlas. Cancer Immunol. Res. 2013;1:112-122.

    Not in our library10.1158/2326-6066.cir-13-0028

  151. 151.

    Ricklefs F, et al. Extracellular vesicles from high-grade glioma exchange diverse pro-oncogenic signals that maintain intratumoral heterogeneity. Cancer Res. 2016;76:2876-2881.

    Not in our library10.1158/0008-5472.can-15-3432

  152. 152.

    Ricklefs FL, et al. Immune evasion mediated by PD-L1 on glioblastoma-derived extracellular vesicles. Sci. Adv. 2018;4:eaar2766.

    Not in our library10.1126/sciadv.aar2766

  153. 153.

    Wang N, Jain RK, Batchelor TT. New directions in anti-angiogenic therapy for glioblastoma. Neurotherapeutics. 2017;14:321-332.

    Not in our library10.1007/s13311-016-0510-y

  154. 154.

    Papalexi E, Satija R. Single-cell RNA sequencing to explore immune cell heterogeneity. Nat. Rev. Immunol. 2018;18:35.

    Not in our library10.1038/nri.2017.76

  155. 155.

    Patel AP, et al. Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma. Science. 2014;344:1396-1401.

    Not in our library10.1126/science.1254257

  156. 156.

    Korn T, Kallies A. T cell responses in the central nervous system. Nat. Rev. Immunol. 2017;17:179-194.

    Not in our library10.1038/nri.2016.144

  157. 157.

    Pachter JS, De Vries HE, Fabry Z. The blood-brain barrier and its role in immune privilege in the central nervous system. J. Neuropathol. Exp. Neurol. 2003;62:593-604.

    Not in our library10.1093/jnen/62.6.593

  158. 158.

    Daneman R, Prat A. The blood–brain barrier. Perspect. Biol. 2015;7:a020412.

    Not in our library10.1101/cshperspect.a020412

  159. 159.

    Dombrowski Y, et al. Regulatory T cells promote myelin regeneration in the central nervous system. Nat. Neurosci. 2017;20:674.

    Not in our library10.1038/nn.4528

  160. 160.

    Laman JD, Weller RO. Drainage of cells and soluble antigen from the CNS to regional lymph nodes. J. Neuroimmune Pharmacol. 2013;8:840-856.

    Not in our library10.1007/s11481-013-9470-8

  161. 161.

    Jessen NA, Munk ASF, Lundgaard I, Nedergaard M. The glymphatic system: a beginner’s guide. Neurochem. Res. 2015;40:2583-2599.

    Not in our library10.1007/s11064-015-1581-6

  162. 162.

    Louveau A, et al. Structural and functional features of central nervous system lymphatic vessels. Nature. 2015;523:337.

    Not in our library10.1038/nature14432

  163. 163.

    Herz J, Filiano AJ, Smith A, Yogev N, Kipnis J. Myeloid cells in the central nervous system. Immunity. 2017;46:943-956.

    Not in our library10.1016/j.immuni.2017.06.007

  164. 164.

    Nimmerjahn A, Kirchhoff F, Helmchen F. Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo. Science. 2005;308:1314-1318.

    Not in our library10.1126/science.1110647

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