Evidence map›Paper›PMID 40636690›Full record

ArticleFrontiers in oncology2025

Integrative analysis of crotonylation-associated genes reveals prognostic and therapeutic targets in gliomas.

Bowen Yin, Zhuoyang Fan, Panpan Yu, Jin Li, Yilin Wang, Minfeng Shu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Bowen YinDepartment of Pharmacology, School of Basic Medical Sciences, Shanghai, Medical College, Fudan University, Shanghai, China.
Zhuoyang FanDepartment of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Panpan YuDepartment of Pharmacology, School of Basic Medical Sciences, Shanghai, Medical College, Fudan University, Shanghai, China.
Jin LiDepartment of Pharmacology, School of Basic Medical Sciences, Shanghai, Medical College, Fudan University, Shanghai, China.
Yilin WangDepartment of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Minfeng ShuDepartment of Pharmacology, School of Basic Medical Sciences, Shanghai, Medical College, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Crotonylation, an emerging epigenetic modification, has been implicated in various biological processes, including tumor progression. However, its role in glioma remains poorly understood. This study aims to investigate the prognostic and therapeutic implications of crotonylation-associated genes in glioma. Methods: Crotonylation levels were assessed by IHC in glioma tissues of varying grades. Key crotonylation-associated genes were identified and analyzed across five glioma datasets. A prognostic risk score was developed using machine learning algorithms and validated in multiple cohorts. Genomic alterations, immune landscapes, and therapeutic responses were examined in relation to the risk score. Single-cell dataset GSE131928 was analyzed to explore the relationship between the risk score and immune cell infiltration. After crotonate treatment of T98G cells, ChIP-seq and qPCR were performed to investigate the effect of crotonylation on gene expression. Finally, PD-1 and GZMB expression levels were assessed in glioma tissues with varying crotonylation levels. Results: Crotonylation levels were negatively correlated with glioma grade. Crotonylation-related genes stratified patients into two subtypes with distinct overall survival outcomes. High-risk patients exhibited increased somatic mutations, specific copy number variations, and an immunosuppressive tumor microenvironment. The risk score correlated positively with TIDE scores, indicating resistance to immune checkpoint blockade therapy. Single-cell analysis revealed a positive association between the risk score and TAM infiltration. Candidate therapeutic agents tailored for high- and low-risk groups were identified. ChIP-seq and qPCR demonstrated that reduced crotonylation suppressed Conclusion: Crotonylation-associated genes play a pivotal role in glioma progression and prognosis. The risk score provides a robust tool for patient stratification and treatment guidance, underscoring the importance of crotonylation in glioma biology and its potential as a therapeutic target.

Indexed as

ChIP-seqCXCL1gliomamachine learningprognosistumor microenvironment

Identifiers

PMID40636690
PMCPMC12237899

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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.