Evidence map›Paper›PMID 40356904›Full record

ArticleFrontiers in immunology2025

An immune cell activation signature reflected hepatocellular carcinoma heterogeneity and predicted clinical outcomes.

Xiaofeng Wang, Dongli Liu, Shuai Wang, Rui He

Abstract read
In one paragraph

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

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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaofeng WangDepartment of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ;China.
Dongli LiuDepartment of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ;China.
Shuai WangDepartment of Radiation, Chushi Orthopedic Hospital, Zhengzhou, Henan, ;China.
Rui HeDepartment of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ;China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prognosis of hepatocellular carcinoma (HCC) remains challenging, and immune activation plays a critical role in cancer treatment. Identifying reliable immune activation-related prognostic markers is critical for predicting HCC patient outcomes. Method: A six-gene signature was developed. The prognostic value was assessed by correlating the signature and survival. The robustness of the signature was validated in three independent Gene Expression Omnibus (GEO) datasets. Associations with clinical, genomic, and transcriptomic features were also evaluated. Additionally, single-cell sequencing data were analyzed to explore cell-cell interaction heterogeneity reflected by the signature. The biological role of candidate gene RORC was investigated, including chemotherapy resistance and detailed regulatory mechanism in affecting progression. The clinical potential role of RORC and its downstream gene was also evaluated by immunohistochemical (IHC) microarray. Results: The six-gene signature stratified patients into high-risk and low-risk groups, with high-risk samples exhibiting significantly shorter overall survival (median: 23.8 months, 95% CI: 20.6-41.8) than low-risk samples (median: 83.2 months, 95% CI: 69.6-NA, p < 0.001). Validation in independent GEO datasets confirmed the robustness of the signature. The signature was significantly associated with the pathological stage and negatively correlated with PD-L1 expression, outperforming clinical indicators in predicting 3-year survival. The signature was significantly associated with TP53 mutations, genomic stability, and canonical cancer-related pathways. Single-cell sequencing data indicated that the signature revealed cell-cell interaction heterogeneity in HCC. Candidate gene RORC promotes proliferation and migration by regulating CDC6 gene expression as a transcription factor. Furthermore, RORC is also associated with multiple drug resistance, especially docetaxel and paclitaxel. IHC revealed that RORC and candidate gene CDC6 were valuable predictive biomarkers for prognosis. Conclusion: The six-gene signature provides valuable insights into the biological status of HCC patients and is a robust tool for clinical application.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsTranscriptomeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisBiomarkers, TumorHCCimmune cell activationmicroenvironmentprognosissingle-cell sequencing

Identifiers

PMID40356904
PMCPMC12066757

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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.