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Dataset Information

NAP1L4 in hepatocellular carcinoma progression and treatment from gene expression to clinical impact.


ABSTRACT:

Background

Hepatocellular carcinoma (HCC) remains one of the deadliest malignancies globally, posing substantial health threats and economic burdens. Despite advances in therapeutic modalities-including surgical resection, liver transplantation, and targeted therapies-HCC prognosis remains unsatisfactory. This highlights an urgent need for novel biomarkers to improve prognostic stratification. Senescence-related genes (SRGs) have emerged as promising candidates for HCC prognostic exploration, making their association with clinical outcomes the focus of this study.​.

Methods

Comprehensive machine learning was applied to screen SRGs associated with HCC survival, identifying key prognostic genes. A clinical nomogram based on SRG scores was constructed and validated. NAP1L4 expr

SUBMITTER: Lin J 

PROVIDER: S-EPMC12708435 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature