Evidence map›Paper›PMID 41893336›Full record

ReviewMetabolites2026

Nexus of IDO1/Kynurenine Pathway to T-Cell Exhaustion: Hypoxia-Induced Tryptophan Metabolism in Glioblastoma.

Matthew Abikenari, George Nageeb, Joseph H Ha, Matthew Adam Sjoholm, Justin Liu, Brandon Bergsneider, Jocelyn Valenzuela, James Poe, Kwang Bog Cho, Rohit Verma and 7 more

Abstract readReview
In one paragraph

Review in Metabolites, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Immunotherapy for Glioma: A compartmental framework for resistance and rational combination design.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 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

17 authors.

Matthew AbikenariDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.ORCID 0000-0001-5835-5179
George NageebDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.ORCID 0000-0001-7536-1474
Joseph H HaDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.
Matthew Adam SjoholmDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.ORCID 0009-0007-6593-6087
Justin LiuDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.
Brandon BergsneiderDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.ORCID 0000-0001-7013-8150
Jocelyn ValenzuelaDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.ORCID 0000-0002-2244-8557
James PoeDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.ORCID 0009-0002-7052-9906
Kwang Bog ChoDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.
Rohit VermaDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.
Caren WuDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.
Vivek SankerDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.
Ravi MedikondaDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.
Lily H KimDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.
John ChoiDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.
Matei A BanuDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.
Michael LimDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94304, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is a universally fatal cancer for which the standard of care has remained largely unchanged for the last 20 years. Recent work has demonstrated that most therapeutic trials for GBM fail due to complex mechanisms of immunosuppression mediated by both the innate and adaptive immune systems. Various metabolic alterations in the tumor microenvironment help maintain this local and systemic immunosuppression, of which the axis of hypoxia-driven tryptophan degradation has garnered substantial attention over the last decade. This paper synthesizes a much-needed elucidation of the immunometabolic reshaping of glioma, myeloid, endothelial, and lymphoid cell lineages induced by hypoxia. The current paper critically evaluates the role of IDO1/TDO2-mediated breakdown of tryptophan and the consequent accumulation of kynurenine, a metabolite that triggers GCN2- and AHR-mediated CD8+ T-cell exhaustion and supports regulatory T-cell differentiation and expansion. Furthermore, we propose a synthesis of mechanistic evidence that establishes a role for the Trp-GCN2-ATF4-VEGFA axis in hypoxia-induced immunosuppression, supporting that pro-tumoral metabolic dysregulation is directly linked to angiogenesis. In GBM, hypoxia and tryptophan-kynurenine pathway dysregulation operate as an integrated metabolic circuit that drives widespread immunosuppression. These mechanisms can be captured by a metabolic signature shared across nearly every cell type in the GBM microenvironment. Drawing on recent spatial transcriptomic, metabolomic, and pharmacologic studies, we outline how this metabolic axis shapes disease biology and how it can be targeted to restore effective antitumor immunity.

Indexed as

GCN2–AHR signalingglioblastomahypoxia (HIF-1α/HIF-2α)IDO1/TDO2immunometabolismmetabolic reprogrammingprecision immunotherapyspatial transcriptomicstryptophan–kynurenine pathwaytumor microenvironment

Identifiers

PMID41893336
PMCPMC13028454

What OpenQuestion holds

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Registered trials

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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.