Evidence map›Paper›PMID 28507806›Full record

ArticleOncoimmunology

Preclinical efficacy of immune-checkpoint monotherapy does not recapitulate corresponding biomarkers-based clinical predictions in glioblastoma.

Abhishek D Garg, Lien Vandenberk, Matthias Van Woensel, Jochen Belmans, Marco Schaaf, Louis Boon, Steven De Vleeschouwer, Patrizia Agostinis

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% of its field
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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. A systematic review of immunotherapy in high-grade glioma: learning from the past to shape future perspectives.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Pooled it
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  10. Materials today. Bio · 2024
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  12. The Role of Antibody-Based Therapies in Neuro-Oncology.Antibodies (Basel, Switzerland) · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Abhishek D GargCell Death Research & Therapy (CDRT) Lab, Department of Cellular and Molecular Medicine, KU Leuven University of Leuven, Leuven, Belgium.
Lien VandenberkLaboratory of Pediatric Immunology, Department of Microbiology and Immunology, KU Leuven University of Leuven, Leuven, Belgium.
Matthias Van WoenselResearch Group - Experimental Neurosurgery & Neuroanatomy, KU Leuven University of Leuven, Leuven, Belgium.
Jochen BelmansLaboratory of Pediatric Immunology, Department of Microbiology and Immunology, KU Leuven University of Leuven, Leuven, Belgium.
Marco SchaafCell Death Research & Therapy (CDRT) Lab, Department of Cellular and Molecular Medicine, KU Leuven University of Leuven, Leuven, Belgium.
Louis BoonBioceros BV, the Netherlands.
Steven De VleeschouwerResearch Group - Experimental Neurosurgery & Neuroanatomy, KU Leuven University of Leuven, Leuven, Belgium.
Patrizia AgostinisCell Death Research & Therapy (CDRT) Lab, Department of Cellular and Molecular Medicine, KU Leuven University of Leuven, Leuven, Belgium.
KU Leuven · BEPolpharma Biologics (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is resistant to most multimodal therapies. Clinical success of immune-checkpoint inhibitors (ICIs) has spurred interest in applying ICIs targeting CTLA4, PD1 or IDO1 against GBM. This amplifies the need to ascertain GBM's intrinsic susceptibility (or resistance) toward these ICIs, through clinical biomarkers that may also "guide and prioritize" preclinical testing. Here, we interrogated the TCGA and/or REMBRANDT human patient-cohorts to predict GBM's predisposition toward ICIs. We exploited various broad clinical biomarkers, including mutational or predicted-neoantigen burden, pre-existing or basal levels of tumor-infiltrating T lymphocytes (TILs), differential expression of immune-checkpoints within the tumor and their correlation with particular TILs/Treg-associated functional signature and prognostic impact of differential immune-checkpoint expression. Based on these analyses, we found that predictive biomarkers of ICI responsiveness exhibited inconsistent patterns in GBM patients, i.e., they either predicted ICI resistance (as compared with typical ICI-responsive cancer-types like melanoma, lung cancer or bladder cancer) or susceptibility to therapeutic targeting of CTLA4 or IDO1. On the other hand, our comprehensive literature meta-analysis and preclinical testing of ICIs using an orthotopic GL261-glioma mice model, indicated significant antitumor properties of anti-PD1 antibody, whereas blockade of IDO1 or CTLA4 either failed or provided very marginal advantage. These trends raise the need to better assess the applicability of ICIs and associated biomarkers for GBM.

Indexed as

Cancer immunotherapycopy-number alterations (CNA)CTLA4high-grade gliomaIDO1immune-checkpoint blockers (ICBs)mutational burdenneoantigenpatient prognosisPD1T cellsTreg cells

Identifiers

PMID28507806
PMCPMC5414887
OpenAlexW2604302794

What OpenQuestion holds

Textmetadata
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.