Evidence map›Paper›PMID 40619390›Full record

ArticleBMC cancer2025

Clinical significance of NCOA4 in glioblastoma: diagnostic, prognostic, and therapeutic value.

Guangtang Chen, Xueping Shi, Rukai Jiao, Jiacai Qian, Xi Zeng

Abstract read
In one paragraph

Article in BMC cancer, 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

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

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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

5 authors.

Guangtang Chen *Department of Neurosurgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550004, China.
Xueping Shi *Department of Neurosurgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550004, China.
Rukai Jiao *Department of Neurosurgery, The Affiliated Jinyang Hospital of Guizhou Medical University, Guiyang, Guizhou, 550081, China.
Jiacai QianDepartment of Neurosurgery, The Affiliated Jinyang Hospital of Guizhou Medical University, Guiyang, Guizhou, 550081, China.
Xi ZengDepartment of Neurosurgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550004, China. zengxiloveall@163.com.

Funding

27 th Annual Meeting of the China Association for Science and Technology 2025XSJL018Guiyang Second People's Hospital (Jinyang Hospital) Youth Talent Fund Program QN[2024]03
6 · The paper itself

Abstract

backgroundGlioblastoma (GBM), classified as a WHO grade IV tumor, is associated with an extremely poor prognosis. Recent studies have identified NCOA4 as a crucial protein involved in ferritinophagy-induced ferroptosis. This research aims to investigate the clinical significance of NCOA4 in GBM.

methodsThe associations between NCOA4 and WHO grading, histology, clinicopathological characteristics, and prognosis were examined using the TCGA-GBMLGG, CGGA, and TCGA-GBM datasets, complemented by immunohistochemical experiments. Subsequently, the prognostic significance of NCOA4 was assessed through univariate and multivariate Cox regression analyses using the TCGA-GBM dataset. Moreover, the associations between NCOA4 and various infiltrating immune cells as well as their markers in GBM were investigated. Ultimately, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were utilized to elucidate the biological roles of NCOA4.

resultsNCOA4 expression significantly decreased with increasing WHO grade and malignancy of gliomas (p < 0.05), reaching the lowest levels in GBM (p < 0.05), indicating its potential diagnostic value. Low NCOA4 expression was significantly tied to a poor prognosis in GBM (p < 0.05) and functioned as an independent prognostic indicator (p < 0.05). It was also related to inadequate infiltration of B cells, macrophages, neutrophils, and dendritic cells (p < 0.05). Insufficient infiltration of B cells and macrophages could forecast a poor prognosis in GBM (p < 0.05). GO and KEGG analyses further confirmed NCOA4's involvement in ferroptosis and B cell signaling regulation pathways (p < 0.05).

conclusionsNCOA4's low expression in GBM correlates with tumor malignancy, adverse outcomes, and inadequate immune cell infiltration, suggesting its potential as a therapeutic target.

Indexed as

Biomarkers, TumorBrain NeoplasmsGlioblastomaNuclear Receptor CoactivatorsAdultAgedClinical RelevanceFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeoplasm GradingPrognosisBiomarkers, TumorNCOA4 protein, humanNuclear Receptor CoactivatorsB cellBiomarkerFerroptosisGlioblastomaNCOA4

Identifiers

PMID40619390
PMCPMC12232810

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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.