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Review
. 2023 Jan 17;133(2):e163447.
doi: 10.1172/JCI163447.

Immune checkpoint blockade in glioblastoma: from tumor heterogeneity to personalized treatment

Affiliations
Review

Immune checkpoint blockade in glioblastoma: from tumor heterogeneity to personalized treatment

Víctor A Arrieta et al. J Clin Invest. .

Abstract

Immune checkpoint blockade (ICB) has revolutionized modern cancer therapy, arousing great interest in the neuro-oncology community. While several reports show that subsets of patients with glioma exhibit durable responses to immunotherapy, the efficacy of this treatment has not been observed for unselected patient populations, preventing its broad clinical implementation for gliomas and glioblastoma (GBM). To exploit the maximum therapeutic potential of ICB for patients with glioma, understanding the different aspects of glioma-related tumor immune responses is of critical importance. In this Review, we discuss contributing factors that distinguish subsets of patients with glioma who may benefit from ICB. Specifically, we discuss (a) the complex interaction between the tumor immune microenvironment and glioma cells as a potential influence on immunotherapy responses; (b) promising biomarkers for responses to immune checkpoint inhibitors; and (c) the potential contributions of peripheral immune cells to therapeutic responses.

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Conflict of interest statement

Conflict of interest: VAA and AMS are authors of a patent filed by Northwestern University related to predicting the response to immunotherapy in gliomas (US2021071138). AMS has received in-kind and/or funding support for research from Agenus, Bristol Myers Squibb, and Carthera. RS has acted or is acting as a scientific advisor or has served on advisory boards for Alpheus Medical (formerly Craniovation), AstraZeneca, Boston Scientific, Carthera, Celularity, GT Medical, Insightech, Lockwood (BlackDiamond), Northwest Biotherapeutics, Novocure, Syneos Health (Boston Biomedical), TriAct Therapeutics, and Varian Medical Systems. ABH serves on the advisory board of Caris Life Sciences and the WCG Oncology Advisory Board; receives royalty and milestone payments from DNAtrix for the licensing of “Biomarkers and combination therapies using oncolytic virus and immunomodulation” (patent 11,065,285); and is supported by research grants from Celularity, Codiak BioSciences, and AbbVie. She additionally has active granted patents for “miRNA for treating cancer and for use with adoptive immunotherapies” (patent 9,675,633) and “Concurrent chemotherapy and immunotherapy” (patent 9,399,662), with a patent pending for “Low intensity ultrasound combination cancer therapies” (international applications PCT/US2022/019435 and US 63/158,642).

Figures

Figure 1
Figure 1. Dynamic crosstalk between tumor and immune cells as a potential contributor to an enhanced response to immune checkpoint blockade.
Different transcriptional programs are defined by the abundance of immune cells such as macrophages, microglia, and T cells as well as the immunogenicity of tumor cells that includes the expression of MHC class I and II. In addition, the generation of a peripheral immune response following immune checkpoint inhibitors is a critical component of a successful therapeutic response.
Figure 2
Figure 2. Summary of the potential mechanisms that might contribute to the response to ICB.
Three potential mechanisms have been associated with better survival in patients with GBM treated with anti–PD-1 therapy: activation of the ERK1/2 cascade of the MAPK pathway; defects in the replication stress response in tumor cells; and germline POLE mutations. In addition, the mechanism underlying intratumoral Treg depletion is shown in the context of anti–CTLA-4 immunotherapy induced by antigen-dependent, cell-mediated cytotoxicity, which has been associated with germline polymorphisms of Fc-γR with high binding affinity to the therapeutic monoclonal antibodies. AP-1, activator protein 1; A-RAF, A-rapidly accelerated fibrosarcoma; ATM, ataxia telangiectasia mutated; ATR, ataxia telangiectasia and Rad3-related protein; CHK1, checkpoint kinase 1; FOSL1, Fos-related antigen 1; GRB2, growth factor receptor–bound protein 2; NF1, neurofibromin 1; SHP-2, Src homology region 2 domain–containing phosphatase-2; SOS, Son of Sevenless.

References

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