Telomere-Related Gene Risk Model for Prognosis and Immune Landscape in Hepatocellular Carcinoma

In conclusion, the authors validate that diagnostic, therapeutic, and prognostic accuracy would be enhanced through the study of gene expression data, construction of risk prediction models, and identification of risk-associated clinical factors of LIHC patients. The findings provide new biomarkers and risk prediction models for clinicians to better estimate the risk of patients for the purpose of treatment decisions.