Exploring prognosis and therapeutic strategies for HBV-HCC patients based on disulfidptosis-related genes.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) accounts for over 80% of primary liver cancers and is the third leading cause of cancer-related deaths worldwide. Hepatitis B virus (HBV) infection is the primary etiological factor. Disulfidptosis is a newly discovered form of regulated cell death. This study aims to develop a novel HBV-HCC prognostic signature related to disulfidptosis and explore potential therapeutic approaches through risk stratification based on disulfidptosis.

Methods

Transcriptomic data from HBV-HCC patients were analyzed to identify BHDRGs. A prognostic model was established and validated using machine learning, with internal datasets and external datasets for verification. We then performed immune cell infiltration analysis, tumor microenvironment (TME) ana

SUBMITTER: Zhang C 

PROVIDER: S-EPMC11774838 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature