Evidence map›Paper›PMID 42243557›Full record

ArticleDiscover oncology2026

Ferroptosis-related gene EPAS1 suppresses breast cancer progression by inhibiting M2 macrophage polarization.

Zhaoneng Lin, Yongshun Li, Yuzhen Shi, Yaolu Liu, Minli Zhang

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Article in Discover oncology, 2026. 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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5 · Who and what money

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5 authors.

Zhaoneng LinDepartment of Critical Care Medicine, Longyan First Hospital, Longyan, 364000, Fujian, China.
Yongshun LiDepartment of Critical Care Medicine, Longyan First Hospital, Longyan, 364000, Fujian, China.
Yuzhen ShiDepartment of Critical Care Medicine, Longyan First Hospital, Longyan, 364000, Fujian, China.
Yaolu LiuDepartment of Critical Care Medicine, Longyan First Hospital, Longyan, 364000, Fujian, China.
Minli ZhangDepartment of Critical Care Medicine, Longyan First Hospital, Longyan, 364000, Fujian, China. zml15980@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the role of the ferroptosis-related gene EPAS1 in breast cancer progression and its impact on macrophage polarization.

methodsBioinformatics and machine learning approaches were employed to identify ferroptosis-related differentially expressed genes (DEGs) in breast cancer tissues. Functional enrichment analysis was subsequently performed to explore the biological roles of these DEGs. The expression of EPAS1 was further analyzed in relation to macrophage polarization, with a particular focus on M1 and M2 macrophage infiltration. In addition, ROC curve analysis was conducted to evaluate the prognostic value of EPAS1 expression in predicting patient survival.

resultsA total of ferroptosis-related DEGs were identified by integrating GEO and TCGA datasets, among which EPAS1 and ACO1 were selected as key genes using machine learning algorithms. Functional enrichment analysis indicated that these genes were mainly involved in hypoxia response and cancer-related pathways. Survival analysis showed that high EPAS1 expression was significantly associated with improved overall survival, whereas ACO1 exhibited no prognostic significance. ROC curve analysis demonstrated that EPAS1 had moderate prognostic value, with an AUC of 0.837. Risk score analysis further revealed that patients in the high-risk group had poorer survival outcomes and lower EPAS1 expression levels compared to the low-risk group. Moreover, immune infiltration analysis indicated that EPAS1 expression was positively correlated with M1 macrophage infiltration and negatively correlated with M2 macrophage infiltration.

conclusionEPAS1 functions as a key ferroptosis-related gene that regulates macrophage polarization in breast cancer by promoting M1 macrophage infiltration while suppressing M2 polarization. Targeting EPAS1 may represent a promising therapeutic strategy to enhance anti-tumor immunity and improve clinical outcomes in breast cancer patients.

Indexed as

Breast cancerEPAS1FerroptosisMachine learningMacrophage

Identifiers

PMID42243557
PMCPMC13454083

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