ArticleFrontiers in immunology2022
Identification of a Tumor Immunological Phenotype-Related Gene Signature for Predicting Prognosis, Immunotherapy Efficacy, and Drug Candidates in Hepatocellular Carcinoma.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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32 citing papers in PubMed, 44 citations in OpenAlex.
- Machine learning-based prognostic model of stemness and angiogenesis-related genes for predicting prognosis and immune infiltration in patients with HCC.Scientific reports · 2026Article
- Editorial: Advancements in immune heterogeneity in inflammatory diseases and cancer: new targets, mechanisms, and strategies.Frontiers in molecular biosciences · 2026Article
- CD161, a promising prognostic biomarker in hepatocellular carcinoma, correlates with immune infiltration.PeerJ · 2025Article
- A novel prognostic model for Hedgehog signaling pathway-related genes predicts the prognosis of hepatocellular carcinoma.Frontiers in oncology · 2025Article
- Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning.Frontiers in molecular biosciences · 2025Article
- A tumor immune microenvironment gene expression signature for predicting prognosis, immunotherapy efficacy, and drug candidates in triple-negative breast cancer.Frontiers in immunology · 2025Article
- Machine learning-based tumor associated macrophages polarity signature predicts prognosis and treatment response in hepatocellular carcinoma.Frontiers in immunology · 2025Article
- Biomarkers and immunotherapy in endometrial cancer: mechanisms and clinical applications.Frontiers in immunology · 2025Review
- The role and prognostic value of PANoptosis-related genes in skin cutaneous melanoma.Frontiers in immunology · 2025Article
- METTL1-driven nucleotide metabolism reprograms the immune microenvironment in hepatocellular carcinoma: a multi-omics approach for prognostic biomarker discovery.Frontiers in immunology · 2025Article
- Predictive Prognostic Model for Hepatocellular Carcinoma Based on Seven Genes Participating in Arachidonic Acid Metabolism.Cancer medicine · 2024Article
- Tumor immunological phenotype-derived gene classification predicts prognosis, treatment response, and drug candidates in ovarian cancer.Genes & diseases · 2024Article
- Article
- A novel anoikis-related gene signature can predict the prognosis of hepatocarcinoma patients.Translational cancer research · 2024Article
- Identification of an immune-related gene signature for predicting prognosis and immunotherapy efficacy in liver cancerWorld journal of gastroenterology · 2024Article
- Development and validation of a chromatin regulator signature for predicting prognosis hepatocellular carcinoma patient.Journal of gastrointestinal oncology · 2024Article
- Predicting immunotherapy response in melanoma using a novel tumor immunological phenotype-related gene index.Frontiers in immunology · 2024Article
- Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I-III lung adenocarcinoma.Genes & diseases · 2023Article
- Development and validation of a copper-related gene prognostic signature in hepatocellular carcinoma.Frontiers in cell and developmental biology · 2023Article
- Expression of CKS2 in Hepatocellular Carcinoma: Correlation with Survival Outcomes and Immune Microenvironment.Journal of hepatocellular carcinoma · 2023Article
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is the predominant subtype of primary liver cancer and represents a highly heterogeneous disease, making it hard to predict the prognosis and therapy efficacy. Here, we established a novel tumor immunological phenotype-related gene index (TIPRGPI) consisting of 11 genes by Univariate Cox regression and the least absolute shrinkage and selection operator (LASSO) algorithm to predict HCC prognosis and immunotherapy response. TIPRGPI was validated in multiple datasets and exhibited outstanding performance in predicting the overall survival of HCC. Multivariate analysis verified it as an independent predictor and a TIPRGPI-integrated nomogram was constructed to provide a quantitative tool for clinical practice. Distinct mutation profiles, hallmark pathways, and infiltration of immune cells in tumor microenvironment were shown between the TIPRGPI high and low-risk groups. Notably, significant differences in tumor immunogenicity and tumor immune dysfunction and exclusion (TIDE) were observed between the two risk groups, suggesting a better response to immune checkpoint blockade (ICB) therapy of the low-risk group. Besides, six potential drugs binding to the core target of the TIPRGPI signature were predicted
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