Evidence mapPaperPMID 41009979Full record

ArticleGenes2025

Bulk and Single-Cell Transcriptomes Reveal Exhausted Signature in Prognosis of Hepatocellular Carcinoma.

Ruixin Chun, Haisen Ni, Ziyi Zhao, Chunlong Zhang

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Article in Genes, 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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field-weighted citation impact
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

4 authors.

Ruixin ChunCollege of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.
Haisen NiCollege of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.
Ziyi ZhaoCollege of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.
Chunlong ZhangCollege of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0001-8546-9665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesHepatocellular carcinoma (HCC) is a highly heterogeneous malignancy with poor prognosis. T cell exhaustion (TEX) is a key factor in tumor immune evasion and therapeutic resistance. In this study, we integrated single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (RNA-seq) data to characterize TEX-related transcriptional features in HCC.

methodsWe first computed TEX scores for each sample using a curated 65-gene signature and classified them into high-TEX and low-TEX groups by the median score. Differentially expressed genes were identified separately in scRNA-seq and bulk RNA-seq data, then intersected to retain shared candidates. A 26-gene prognostic signature was derived from these candidates via univariate Cox and LASSO regression analysis.

resultsThe high-TEX group exhibited increased expression of immune checkpoint molecules and antigen presentation molecules, suggesting a tumor microenvironment that is more immunosuppressive but potentially more responsive to immunotherapy. Functional enrichment analysis and protein-protein interaction (PPI) network construction further validated the roles of these genes in immune regulation and tumor progression.

conclusionsThis study provides a comprehensive characterization of the TEX landscape in HCC and identifies a robust gene signature associated with prognosis and immune infiltration. These findings highlight the potential of targeting TEX-related genes for personalized immunotherapeutic strategies in HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsTranscriptomeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, Tumorhepatocellular carcinomascRNA-seqT cell exhaustiontumor microenvironment

Identifiers

PMID41009979
PMCPMC12469618

What Socratic holds

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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.