Evidence map›Paper›PMID 42609318›Full record

ArticleFrontiers in oncology2026

Tumor-neuronal hybrid programs reveal a spatially adaptive malignant state in glioblastoma.

Claire Yuan, Jake Y Chen

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Claire YuanAlphaMind Club, Irvine, CA, United States.
Jake Y ChenSystems Pharmacology AI Research Center, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States.

Funding

Bridge2AI: Cell Maps for AI (CM4AI) Data Generation ProjectOT2OD032742 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jean-Christophe Bélisle-Pipon, TIMOTHY W CLARK · 2022 to 2026
$21.5M
CONNECT: Collaborative Network for Nurturing Ecosystems of Common Fund Team ScienceU54OD036472 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Jake Yue Chen · 2024 to 2026
$7.3M
NIH HHS OT2 OD032742NIH HHS U54 OD036472
6 · The paper itself

Abstract

Objective: Glioblastoma (GBM) exhibits marked cellular plasticity, including partial acquisition of neuron-associated transcriptional features. We tested whether public GBM spatial and single-nucleus datasets reveal a tumor-neuronal program with spatial organization and distinction from canonical proneural-like identity. Methods: We re-analyzed public multi-region GBM spatial transcriptomic data from Greenwald et al. and used healthy cortex data from Ravi et al. as a non-malignant reference. Tumor-neuronal (TN) classifications were defined by concurrent enrichment of malignancy-associated and neuronal-associated gene programs using permutation-derived empirical thresholds. Classification stability was assessed by bootstrap resampling, repeated threshold estimation, and Jaccard overlap. Greenwald-derived CNA/malignancy scores were used to evaluate tumor-associated signal in TN-classified spatial units. External validation was performed in an independent Wang malignant GBM-cell/single-nucleus dataset, including held-out TN-specific scoring after excluding genes used in the original scoring programs. Exploratory bulk-cohort analysis was performed in TCGA GBM. Results: TN-classified spatial units were detected across tumor regions at higher frequency than healthy cortex and showed regional organization within the spatial discovery specimen. They expressed synaptic and vesicle-associated genes, including SYT1 and STMN2, while retaining malignant/glial-associated features such as GFAP, VIM, and CLU. Mature neuronal subtype markers were less enriched, supporting partial neuronal mimicry rather than lineage conversion. TN-associated genes formed a connected protein-interaction network centered on synaptic, neurite-associated, and cytoskeletal proteins. CNA/malignancy-score analysis showed tumor-associated signal in TN-classified spatial units. In the Wang malignant GBM-cell validation dataset, TN-classified cells/nuclei retained held-out TN-specific enrichment relative to non-TN and proneural-high non-TN malignant cells/nuclei. Conclusion: Public spatial and single-nucleus GBM datasets identify a tumor-associated neuronal mimicry program that is spatially organized in a GBM discovery specimen and detectable in an independent malignant-cell validation dataset. This program is proneural-adjacent but not reducible to canonical proneural identity.

Indexed as

cancer neurosciencecellular plasticityglioblastomaneuronal mimicryspatial transcriptomicstumor-neuron interactions

Identifiers

PMID42609318
PMCPMC13477986

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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.