Evidence map›Paper›PMID 42321379›Full record

ArticleFunctional & integrative genomics2026

Integrative multi-omics analysis and machine learning identify M2 macrophage-induced ferroptosis resistance in glioblastoma.

Fangzhou Guo, Teng Deng, Jun Yan, Yong Mo, Qianrong Huang, Qian Jiang, Ligen Mo, Shipeng Ning, Chao Li

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Article in Functional & integrative genomics, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Fangzhou GuoDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530200, China.
Teng DengDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530200, China.
Jun YanDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530200, China.
Yong MoDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530200, China.
Qianrong HuangDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530200, China.
Qian JiangDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530200, China.
Ligen MoDepartment of Neurosurgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530200, China.
Shipeng NingResearch Center of Nanomedicine Technology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530007, China. nspdoctor@sr.gxmu.edu.cn.
Chao LiDepartment of Neurosurgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530221, China. ChaoLi@sr.gxmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is characterized by profound intratumoral heterogeneity and an immunosuppressive microenvironment that drive therapeutic resistance and poor prognosis. While both tumor-associated macrophages (TAMs) and ferroptosis have been implicated in glioma progression, their functional interplay remains elusive. Integrating multi-omics data (bulk/single-cell RNA-seq and spatial transcriptomics) from public cohorts, we identified ferroptosis-related genes correlated with monocyte/macrophage infiltration and established a machine learning‑derived 28‑gene prognostic signature with robust predictive performance. Single‑cell analysis revealed elevated expression of ferroptosis-related genes in glioma‑infiltrating monocytes/macrophages. Mechanistically, M2‑polarized macrophages conferred ferroptosis resistance to GBM cells by suppressing NCOA4 and enhancing FTH1 expression, thereby reducing labile iron release. In vivo, co‑implantation of M2 macrophages abrogated the tumor‑suppressive effect of the ferroptosis inducer erastin. Collectively, these findings uncover a previously unrecognized axis of ferroptosis resistance in GBM mediated by the NCOA4-FTH1 pathway and M2 macrophage polarization, highlighting a critical crosstalk between the immune microenvironment and programmed cell death, and offering a potential therapeutic strategy for GBM.

Indexed as

Brain NeoplasmsFerroptosisGlioblastomaMacrophagesAnimalsCell Line, TumorFerritinsGene Expression Regulation, NeoplasticHumansMachine LearningMiceMultiomicsNuclear Receptor CoactivatorsOxidoreductasesTumor-Associated MacrophagesTumor MicroenvironmentFerritinsFTH1 protein, humanNCOA4 protein, humanNuclear Receptor CoactivatorsOxidoreductasesFerroptosisGlioblastomaMachine LearningPrognostic SignatureTumor-Associated Macrophages

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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 Socratic graph.