ArticleBMC bioinformatics2023
Development and validation of a coagulation-related genes prognostic model for hepatocellular carcinoma.
Article in BMC bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 9 citations in OpenAlex.
- CCNA2, MAD2L1, AURKA, and PTTG1 promote proliferation and migration in hepatocellular carcinoma.BMC gastroenterology · 2026Article
- Integrated serum proteomics and metabolomics reveal an INR-associated multi-omics signature in hepatocellular carcinoma.Clinical proteomics · 2026Article
- Bioinformatics identification of key microRNA-correlated genes associated with hepatocellular carcinoma heterogeneity and prognosis.BMC gastroenterology · 2025Article
- Development of a coagulation‑related gene model for prognostication, immune response and treatment prediction in lung adenocarcinoma.Oncology letters · 2025Article
- CENPs in hepatocellular carcinoma: a comprehensive review of expression patterns, clinical correlations, and functional mechanisms.American journal of cancer research · 2025Review
- GenPath-PPH: Integrating gene expression and pathway networks via persistent path homology enhances detection of disease-relevant pathways.Computational and structural biotechnology journal · 2025Article
- HBx promotes tumorigenicity through RRM2-mediated autophagy in hepatocellular carcinoma.Cell & bioscience · 2024Article
- Protease activated receptor 2 as a novel druggable target for the treatment of metabolic dysfunction-associated fatty liver disease and cancer.Frontiers in immunology · 2024Review
- Applying machine learning algorithms to develop a survival prediction model for lung adenocarcinoma based on genes related to fatty acid metabolism.Frontiers in pharmacology · 2023Article
- Machine Learning-Based Integration of Single-Cell and Bulk Transcriptome Reveals Coagulation Signature and Phenotypic Heterogeneity in Hepatocellular Carcinoma.IET systems biologyArticle
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Authors and funding
8 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) has a high incidence and mortality worldwide, which seriously threatens people's physical and mental health. Coagulation is closely related to the occurrence and development of HCC. Whether coagulation-related genes (CRGs) can be used as prognostic markers for HCC remains to be investigated.
methodsFirstly, we identified differentially expressed coagulation-related genes of HCC and control samples in the datasets GSE54236, GSE102079, TCGA-LIHC, and Genecards database. Then, univariate Cox regression analysis, LASSO regression analysis, and multivariate Cox regression analysis were used to determine the key CRGs and establish the coagulation-related risk score (CRRS) prognostic model in the TCGA-LIHC dataset. The predictive capability of the CRRS model was evaluated by Kaplan-Meier survival analysis and ROC analysis. External validation was performed in the ICGC-LIRI-JP dataset. Besides, combining risk score and age, gender, grade, and stage, a nomogram was constructed to quantify the survival probability. We further analyzed the correlation between risk score and functional enrichment, pathway, and tumor immune microenvironment.
resultsWe identified 5 key CRGs (FLVCR1, CENPE, LCAT, CYP2C9, and NQO1) and constructed the CRRS prognostic model. The overall survival (OS) of the high-risk group was shorter than that of the low-risk group. The AUC values for 1 -, 3 -, and 5-year OS in the TCGA dataset were 0.769, 0.691, and 0.674, respectively. The Cox analysis showed that CRRS was an independent prognostic factor for HCC. A nomogram established with risk score, age, gender, grade, and stage, has a better prognostic value for HCC patients. In the high-risk group, CD4
conclusionsThe CRRS model has reliable predictive value for the prognosis of HCC patients.
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