Evidence map›Paper›PMID 41158256›Full record

ArticleTranslational cancer research2025

Prognostic signature based on hypoxia and RNA methylation regulatory genes can improve the prognostic and recurrence prediction ability of low-grade glioma.

Zhina Liu, Huiru Sun, Xiaolong He, Liaoliao Feng, Min Ren, Guangcai Cao

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Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhina LiuCollege of Life Science, Yan'an University, Yan'an, China.
Huiru SunCollege of Life Science, Yan'an University, Yan'an, China.
Xiaolong HeCollege of Life Science, Yan'an University, Yan'an, China.
Liaoliao FengCollege of Life Science, Yan'an University, Yan'an, China.
Min RenCollege of Life Science, Yan'an University, Yan'an, China.
Guangcai CaoThe First Clinical Medical College, Yan'an University, Yan'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accumulating evidence has demonstrated that both hypoxia and methylation are closely related to cancer progression. The high heterogeneity of low-grade gliomas (LGG) impedes the accurate prediction of patient prognosis. The prognostic value of the interaction between hypoxia and methylation regulation in LGG needs further study. Therefore, this study aims to develop a prognostic model for LGG by integrating hypoxia- and methylation-regulated genes to improve clinical outcome prediction. Methods: We used a robust bioinformatics framework to explore the role of hypoxia and methylation regulatory genes in the prognostic assessment of six independent cohorts (1,499 patients with LGG). We developed a prognostic classification model of LGG related to hypoxia and methylation regulation score. We then analyzed the relationship between hypoxia-methylation regulation-related scores (HMRs), genomic changes, and immune microenvironment, and evaluated the predictive performance of this model for immunotherapy and chemotherapy. Results: HMRs demonstrated excellent prognostic classification across the six independent cohorts. HMRs indicated significant associations with genomic instability and immune infiltration. Patients with LGG with high HMRs had more genetic mutations and structural variants and higher levels of immune infiltrations, and these patients responded better to immunotherapy. In LGG, IGFBP2 represents an independent prognostic factor and a potential therapeutic target, elevated IGFBP2 expression is linked to poor prognosis. Conclusions: The prognostic model based on hypoxia and methylation regulatory genes can accurately predict the prognosis and progression of LGG and guide immunotherapy and chemotherapy in patients with LGG.

Indexed as

hypoxiaIGFBP2Low-grade gliomas (LGG)methylationsignature

Identifiers

PMID41158256
PMCPMC12554464

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