Evidence map›Paper›PMID 39893200›Full record

ArticleScientific reports2025

Comprehensive analysis reveals the tumor suppressor role of macrophage signature gene FCER1G in hepatocellular carcinoma.

Deyu Kong, Yiping Zhang, Linxin Jiang, Nana Long, Chengcheng Wang, Min Qiu

Abstract read
In one paragraph

Article in Scientific reports, 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

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

1 citing paper in PubMed.

  1. Experimental and therapeutic medicine · 2026
    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

6 authors.

Deyu Kong *Department of Clinical Laboratory, The Second Affiliated Hospital of Chengdu Medical College, National Nuclear Corporation 416 Hospital, Chengdu, Sichuan, China.
Yiping Zhang *Department of Clinical Laboratory, The Second Affiliated Hospital of Chengdu Medical College, National Nuclear Corporation 416 Hospital, Chengdu, Sichuan, China.
Linxin JiangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Chengdu Medical College, National Nuclear Corporation 416 Hospital, Chengdu, Sichuan, China.
Nana LongSichuan Integrative Medicine Hospital, 610041, Chengdu, Sichuan, China.
Chengcheng WangSichuan Integrative Medicine Hospital, 610041, Chengdu, Sichuan, China.
Min QiuSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, China. qiumin1214@163.com.

Funding

This work was supported by The School-level fund of Chengdu medical college CYZYB23-09
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) progression is closely linked to the role of macrophages. This study utilized single-cell RNA sequencing and genomic analysis to explore the characteristic genes of macrophages in HCC and their impact on patient prognosis. We obtained single-cell se-quencing data from seven HCC samples in the GEO database. Through principal component analysis and t-SNE dimensionality reduction, we identified 2,000 highly variable genes and per-formed clustering and annotation of 17 cell clusters, revealing 482 macrophage-related feature genes. A LASSO regression model based on these genes was developed to predict the prognosis of HCC patients, with validation in the TCGA-LIHC cohort demonstrating model accuracy (AUC = 0.78, 0.72, 0.71 for 1-, 3-, and 5-year survival rates, respectively). Additionally, patients in the high-risk group exhibited elevated tumor stemness scores, although no significant differences were observed in microsatellite instability (MSI) and tumor mutational burden (TMB) scores. Immune-related analyses revealed that FCER1G expression was downregulated in HCC and was associated with key pathways such as apoptosis and ferroptosis. Reduced FCER1G expression significantly affected HCC cell proliferation and migration. Our prognostic model provides new insights into precision and immunotherapy for HCC and holds significant implications for future clinical applications.

Indexed as

Carcinoma, HepatocellularGenes, Tumor SuppressorLiver NeoplasmsMacrophagesBiomarkers, TumorCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisSingle-Cell AnalysisBiomarkers, TumorFCER1GHepatocellular carcinomaMacrophagesRisk scoring modelSingle-cell RNA sequencing

Identifiers

PMID39893200
PMCPMC11787346

What Socratic 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 Socratic graph.