Establishment and verification of a prognostic model based on coagulation and fibrinolysis-related genes in...

Area of Science:

• Oncology
• Genomics
• Biomarkers

Background:

• Coagulation and fibrinolysis (CFR) are linked to Hepatocellular carcinoma (HCC) progression and patient outcomes.
• Identifying reliable biomarkers for HCC risk assessment is crucial.

Purpose of the Study:

• To develop a predictive model for HCC risk and prognosis using CFR-related genes.
• To assess the correlation between CFR genes and HCC patient survival.

Main Methods:

• Utilized TCGA and GEO databases for HCC sample selection.
• Employed ssGSEA, WGCNA, and regression analyses to establish a RiskScore model.
• Identified key CFR-correlated genes including PCDH17, PGF, PDE2A, FAM110D, FSCN1, and FBLN5.

Main Results:

• The developed RiskScore model demonstrated strong predictive performance with high AUC values for survival prediction.
• Key genes showed differential expression in HCC, with PDE2A overexpression inhibiting cell migration and invasion.
• Higher RiskScore correlated with advanced clinicopathological features, increased immune scores, and potential benefit from chemotherapy.

Conclusions:

• A novel RiskScore model based on CFR genes accurately evaluates HCC prognosis and survival status.
• This model offers potential value for optimizing clinical treatment strategies in HCC management.