Evidence map›Paper›PMID 40767898›Full record

ArticleDiscover oncology2025

WGCNA and single-cell analysis reveal ferroptosis-related gene signatures for hepatocellular carcinoma prognosis and therapy.

Can Peng, Fujian Yan, Mingli Xu, Yueyue Zhao, Jiaxing Sun

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Can PengDepartment of Infectious Diseases, The first people's Hospital of Jiashan, Jiashan, 314100, Zhejiang, China.
Fujian YanDepartment of Infectious Diseases, The first people's Hospital of Jiashan, Jiashan, 314100, Zhejiang, China.
Mingli XuDepartment of Infectious Diseases, The first people's Hospital of Jiashan, Jiashan, 314100, Zhejiang, China.
Yueyue ZhaoDepartment of Infectious Diseases, The first people's Hospital of Jiashan, Jiashan, 314100, Zhejiang, China.
Jiaxing SunDepartment of Radiation Therapy, Nanjing Lishui People's Hospital, Nanjing, 211200, China. 13915933687@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a globally serious malignant tumor with high incidence and mortality. Ferroptosis, a newly discovered form of regulated cell death, is significant in tumor initiation and growth. Herein, we performed bioinformatics analysis in order to investigate the expression heterogeneity of ferroptosis-related genes as well as its correlation with HCC clinical outcomes.

methodsThe gene expression data of HCC were downloaded from the TCGA and GEO databases. Weighted Gene Co-expression Network Analysis (WGCNA) was deployed to build gene co-expression networks and explore ferroptosis-related gene modules. We used single-cell RNA sequencing data to analyze the expression of these genes in different cell types. Survival analysis and functional enrichment analysis were utilized to study the biological function and clinical significance of these genes in HCC.

resultsSeveral ferroptosis-related gene modules were identified by WGCNA, one of which was significantly linked with the clinical characteristics of HCC. Analysis of single-cell sequencing data revealed distinct expression of these core genes in different cell types. Survival analysis revealed that certain ferroptosis-related gene expressions were strongly correlated with patient survival outcomes. Functional enrichment analysis indicated that these genes mainly participate in oxidative stress response, iron metabolism, and apoptosis.

conclusionsThis study reveals the expression heterogeneity of ferroptosis-related genes in HCC and may provide new molecular targets for HCC prognosis and therapy.

Indexed as

BioinformaticsFerroptosisHepatocellular carcinoma

Identifiers

PMID40767898
PMCPMC12328866

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.