Evidence map›Paper›PMID 39570554›Full record

ReviewJournal of neuro-oncology2025

Immune checkpoint inhibitors for glioblastoma: emerging science, clinical advances, and future directions.

Aarav Badani, Ahmad Ozair, Mustafa Khasraw, Graeme F Woodworth, Pallavi Tiwari, Manmeet S Ahluwalia, Alireza Mansouri

Abstract readReview
In one paragraph

Review in Journal of neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Advances and challenges in glioblastoma immunotherapy: a meta-analysis of immune checkpoint inhibitors.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Aarav Badani *Department of Neurosurgery, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA.
Ahmad Ozair *Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.
Mustafa KhasrawDepartment of Neurosurgery, Preston Robert Tisch Brain Tumor Center at Duke, Duke University Medical Center, Durham, NC, USA.
Graeme F WoodworthDepartment of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.
Pallavi TiwariDepartment of Radiology and Biomedical Engineering, University of Wisconsin, Madison, WI, USA.
Manmeet S AhluwaliaMiami Cancer Institute, Baptist Health South Florida, Miami, FL, USA.
Alireza MansouriDepartment of Neurosurgery, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA. amansouri@pennstatehealth.psu.edu.

Funding

Radiomic spatial maps for identifying viable tumor extent on multi-parametric MRI for GlioblastomaR01CA277728 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Manmeet Ahluwalia, Pallavi Tiwari · 2024 to 2026
$3.0M
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma .R01CA264017 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Manmeet Ahluwalia, Pallavi Tiwari · 2022 to 2026
$2.9M
RadxTools for assessing tumor treatment response on imagingU01CA248226 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI TIWARI, PALLAVI, VISWANATH, SATISH EASWAR · 2020 to 2022
$1.4M
BLRD VA I01 BX005842NCI NIH HHS R01 CA264017NCI NIH HHS R01 CA277728NCI NIH HHS U01 CA248226
6 · The paper itself

Abstract

Glioblastoma (GBM), the most common and aggressive primary central nervous system (CNS) tumor in adults, continues to have a dismal prognosis. Across hundreds of clinical trials, few novel approaches have translated to clinical practice while survival has improved by only a few months over the past three decades. Randomized controlled trials of immune checkpoint inhibitors (ICIs), which have seen impressive success for advanced or metastatic extracranial solid tumors, have so far failed to demonstrate a clinical benefit for patients with GBM. This has been secondary to GBM heterogeneity, the unique immunosuppressive CNS microenvironment, immune-evasive strategies by cancer cells, and the rapid evolution of tumor on therapy. This review aims to summarize findings from major clinical trials of ICIs for GBM, review historic failures, and describe currently promising avenues of investigation. We explore the biological mechanisms driving ICI responses, focusing on the role of the tumor microenvironment, immune evasion, and molecular biomarkers. Beyond conventional monotherapy approaches targeting PD-1, PD-L1, CTLA-4, we describe emerging approaches for GBM, such as dual-agent ICIs, and combination of ICIs with oncolytic virotherapy, antigenic peptide vaccines, chimeric antigenic receptor (CAR) T-cell therapy, along with nanoparticle-based delivery systems to enhance ICI efficacy. We highlight potential strategies for improving patient selection and treatment personalization, along with real-time, longitudinal monitoring of therapeutic responses through advanced imaging and liquid biopsy techniques. Integrated radiomics, tissue, and plasma-based analyses, may potentially uncover immunotherapeutic response signatures, enabling early, adaptive therapeutic adjustments. By specifically targeting current therapeutic challenges, outcomes for GBM patients may potentially be improved.

Indexed as

Brain NeoplasmsGlioblastomaImmune Checkpoint InhibitorsImmunotherapyHumansTumor MicroenvironmentImmune Checkpoint InhibitorsBrain malignancyDurvalumabImmune exhaustionImmunotherapyIpilimumabNivolumabPembrolizumab

Identifiers

PMID39570554
PMCPMC12188872

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.