Evidence map›Paper›PMID 42164521›Full record

ArticleiScience2026

Integration of machine learning to develop a disulfidptosis model for predicting glioma prognosis, immunotherapy response, and drug.

Ruiting Huang, Hailin Li, Yijing Zhong, Paimin Zhuo, Yibei Wang, Aoting Yang, Yu Zhang, Jiao Li, Ruiquan Xu, Quhuan Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Disulfidptosis: molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2026
    Review
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

10 authors.

Ruiting HuangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China.
Hailin LiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China.
Yijing ZhongSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China.
Paimin ZhuoSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China.
Yibei WangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China.
Aoting YangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China.
Yu ZhangThe First Clinical School of Gannan Medical University, Ganzhou, Jiangxi 341000, China.
Jiao LiGannan Medical University, Ganzhou, Jiangxi province 341000, China.
Ruiquan XuDepartment of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi 341000, China.
Quhuan LiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma prognosis is challenged by tumor heterogeneity and lack of biomarkers. Disulfidptosis, a novel cell death mechanism induced by disulfide stress, remains poorly understood in gliomas. This study analyzed eight glioma cohorts, identifying two disulfidptosis patterns with distinct genomic alterations, immune microenvironments, and clinical outcomes. A prognostic model-DisulfidpScore-was developed using machine learning, demonstrating robust predictive ability for survival. Crucially, single-cell profiling and virtual knockout analysis revealed elevated disulfidptosis in glioblastoma astrocytes and identified

Indexed as

artificial intelligence applicationsbioinformaticscancer

Identifiers

PMID42164521
PMCPMC13185775

What OpenQuestion holds

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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.