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Record W4413140323 · doi:10.1038/s41698-025-01070-w

A review of diffuse hemispheric glioma, H3 G34-mutant disease development, DNA repair, microenvironment, and treatments on the horizon

2025· review· en· W4413140323 on OpenAlexaff
Cameron Crowell, Ziwen Zhu, Y Li, María L. Varela, Quinn T. Ostrom, Patrick J. Cimino, Sohil H. Patel, Chetan Bettegowda, Houtan Noushmehr, Claudia L. Kleinman, Laura Canty, Gustavo Alencastro Veiga Cruzeiro, Anandani Nellan, Oren J. Becher, Tom B. Davidson, Dolores Hambardzumyan, Adam Green, Robert G. Thorne, Kelli M. Wilson, Brett Theeler, Jason V. Gregory, Peter Mathen, Nadia Biassou, Sheila McThenia, Craig Erker, Robert Galvin, Ariane Soldatos, Pedro R. Löwenstein, María G. Castro, Sadhana Jackson

Bibliographic record

Venuenpj Precision Oncology · 2025
Typereview
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsMcGill University Health CentreCapital District Health AuthorityHospital for Sick ChildrenIzaak Walton Killam Health CentreDalhousie University
FundersNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsMutantGliomaNeuroscienceHorizonDNA repairMutationBiologyCancer researchGeneticsDNAGenePhysics

Abstract

fetched live from OpenAlex

Diffuse hemispheric glioma H3 G34-mutant is primarily diagnosed in adolescents/young adults. While molecular diagnostics have improved, cellular mechanisms that drive tumor progression and therapy resistance are poorly understood. Combining previous published studies with findings from the 2024 NIH G34-mutant symposium aid in summarizing translational and clinical updates on disease development, cellular repair processes, and the immune microenvironment. This collective work is meant to outline opportunities for treatment and prolonged survival.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.348
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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