Evidence map›Paper›PMID 42510873›Full record

ArticleGenes2026

An Interpretable Four-Gene Cell-Cycle Signature Links Malignant Progression to Adverse Survival in Adult Primary Diffuse Glioma: A CGGA Transcriptome Study.

Hongkai Jia, Nan Pu, Chunyan Tian

Abstract read
In one paragraph

Article in Genes, 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

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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

3 authors.

Hongkai JiaRenal Division, Peking University Institute of Nephrology, Peking University First Hospital & Key Laboratory of Renal Disease, Ministry of Health of China & Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education of China & Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences & Beijing Key Laboratory of Precision Medicine and New-Drug/Equipment Development for Severe Kidney Disease, Beijing 100034, China.
Nan PuCollege of Bioengineering, Beijing Polytechnic University, Beijing 100176, China.
Chunyan TianDepartment of Ultrasound Medicine, People's Hospital of Yubei District, Chongqing 401120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdult diffuse gliomas are biologically heterogeneous and clinically lethal. We evaluated whether a compact transcriptomic program could summarize malignant progression and adverse survival.

methodsWe analyzed adult primary WHO grades II-IV gliomas from the CGGA mRNAseq_693 cohort and used CGGA mRNAseq_325 as an independent validation cohort.

resultsThe primary cohort contained 415 tumors, including 396 with evaluable survival. We identified 773 differentially expressed genes between WHO grade IV and WHO grades II/III tumors, and all four candidate genes increased monotonically with grade. In repeated cross-validation, the SVM achieved the highest mean AUROC of 0.793 ± 0.048 (95% CI 0.784-0.802), with average precision of 0.701 ± 0.063. In the independent CGGA mRNAseq_325 cohort (

conclusionsThe four-gene score captures grade-associated proliferative biology and reproducible survival risk across two CGGA cohorts. It is a research biomarker rather than a standalone diagnostic or clinical decision tool.

Indexed as

Brain NeoplasmsCell Cycle ProteinsGliomaTranscriptomeAdultBiomarkers, TumorCDC2 Protein KinaseCell CycleCyclin B2Disease ProgressionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedBiomarkers, TumorCCNB2 protein, humanCDC2 Protein KinaseCDK1 protein, humanCell Cycle ProteinsCyclin B2pituitary tumor-transforming protein 1, humanSecurinadult diffuse gliomaCCNB2CDCA3CDK1Chinese Glioma Genome Atlasmachine learningPTTG1survival signaturetranscriptomics

Identifiers

PMID42510873
PMCPMC13409654

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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.