Evidence map›Paper›PMID 40822284›Full record

ArticleFrontiers in genetics2025

Identification of key ferroptosis-related genes and therapeutic target in nasopharyngeal carcinoma.

Yuanyuan Gu, Yaozhuang Zhou, Chunhua Xie, Guangyao He, Maosheng Zhang

Abstract read
In one paragraph

Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuanyuan GuSchool of Information and Management, Guangxi Medical University, Nanning, China.
Yaozhuang ZhouSchool of Information and Management, Guangxi Medical University, Nanning, China.
Chunhua XieSchool of Information and Management, Guangxi Medical University, Nanning, China.
Guangyao HeKey Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, Guangxi, China.
Maosheng ZhangSchool of Information and Management, Guangxi Medical University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Nasopharyngeal carcinoma (NPC) is a malignant tumor, but the role of ferroptosis-related genes in NPC remains unclear. This study aimed to identify ferroptosis-related therapeutic targets and explore their mechanisms in NPC. Method: NPC datasets and ferroptosis-related genes were obtained from GEO and FerrDB, respectively. Ferroptosis-related differentially expressed genes (DEGs) were identified, and Weighted Gene Co-expression Network Analysis (WGCNA) was used to pinpoint disease-related genes. Four machine learning algorithms screened hub genes, validated by ROC curves. Functional enrichment (GSEA, GSVA), drug prediction (DGIdb), immune infiltration analysis (CIBERSORT), and single-cell RNA sequencing (scRNA-seq) were performed. Result: From 3405 DEGs, 90 ferroptosis-related genes were identified, enriched in ferroptosis, IL-17, and p53 signaling pathways. WGCNA revealed 34 disease-related genes, and four hub genes (TBK1, KIF20A, SLC16A1, QSOX1) were selected, showing high diagnostic efficacy. GSEA/GSVA highlighted pathway differences between high/low expression groups. Eleven potential drugs were predicted, and immune analysis indicated increased macrophage M1 and neutrophil infiltration. scRNA-seq validated hub gene expression profiles. Conclusion: This study identified four ferroptosis hub genes in NPC, offering insights into its molecular mechanisms and potential diagnostic/therapeutic targets.

Indexed as

drug predictionenrichment analysisferroptosisimmune infiltrationnasopharyngeal carcinoma

Identifiers

PMID40822284
PMCPMC12350130

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