Evidence map›Paper›PMID 39994800›Full record

ArticleBMC medical genomics2025

m6A regulator-based molecular classification and hub genes associated with immune infiltration characteristics and clinical outcomes in diffuse gliomas.

Jie Lu, Siyu Chen, Wanming Hu, Ke Sai, Depei Li, Pingping Jiang

Abstract read
In one paragraph

Article in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jie Lu *Department of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China.
Siyu Chen *Department of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China.
Wanming HuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China.
Ke SaiDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China.
Depei LiDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China. lidp@sysucc.org.cn.
Pingping JiangDepartment of Traditional Chinese Medicine, The First Affiliated Hospital of Guangdong Pharmaceutical University, 19 Nongling Road, Guangzhou, 510060, P. R. China. jiangpptcm@qq.com.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515111118the Scientific and Technological Planning Project of Guangzhou City 202201010515the Scientific and Technological Planning Project of Guangzhou City 2023A04J1782
6 · The paper itself

Abstract

backgroundm6A methylation modification is a new regulatory mechanism involved in tumorigenesis and tumor-immunity interaction. However, its impact on glioma immune microenvironment and clinical outcomes remains unclear.

methodsComprehensive expression profiles of 18 m6A regulators were used to identify molecular subtypes exhibiting distinct m6A modification patterns in 1673 glioma samples sourced from public datasets. A multi-genes signature was constructed for predicting clinical outcomes and response to immunotherapy in glioma patients. Immunohistochemistry and cellular experiments were performed for validation.

resultsTwo m6A subtypes of gliomas were identified. The m6A-low-risk subtype was characterized by paucity of immune infiltrates; While the m6A-high-risk subtype had higher abundances of multiple immune cells including lymphocyte and macrophage as well as increased expression of PD-L1, corresponding to an immunosuppressive phenotype. The m6A-high-risk subtype had poorer survival than the m6A-low-risk subtype in both the glioblastoma and lower grade gliomas cohorts. Eight m6A-related hub genes of high prognostic significances were identified and selected for developing a scoring signature termed as m6Ascore. Elevated m6Ascore indicated worse survival for glioma patients under standard care, but showed enhanced response to immunotherapy. Moreover, we demonstrated that overexpression of FTO, a m6A demethylase, inhibited the expressions of m6A-related hub genes (PTX3, SPAG4), impaired glioma cell viability and reduced macrophage chemotaxis.

conclusionThis work develops an immune- and clinical-relevant m6A subtyping and a scoring model, which enhances our understanding of the role of m6A modification in regulating immune infiltration microenvironment in gliomas and helps to identify patients who are more likely to benefit from immunotherapy.

Indexed as

AdenosineBiomarkers, TumorBrain NeoplasmsGliomaCell Line, TumorGene Expression Regulation, NeoplasticHumansImmunotherapyPrognosisTumor MicroenvironmentAdenosineBiomarkers, TumorN-methyladenosineFTOGliomasImmunotherapym6ATumor immune microenvironment

Identifiers

PMID39994800
PMCPMC11853526

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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.