A Multi-Gene Signature Predicting 1-Year Survival in Stage I Liver Cancer: Integration of Preclinical and TCGA Data

ABSTRACT: This study used the Long Evans Cinnamon (LEC) rat model of Wilson's Disease and Hepatocellular Carcinoma (HCC), along with data from The Cancer Genome Atlas (TCGA) human database, to create a novel biomarker panel. We generated and analyzed a rat microarray gene expression profile by comparing liver tumor tissues with adjacent normal tissues from the same animals, covering approximately 30,000 genes. The microarray results were translated into a five-gene panel that predicts 1-year survival probability in Stage I liver cancer patients using TCGA data in combination with machine learning and bioinformatics approaches. The 5-year panel of five genes demonstrated robust performance throughout validation, particularly in predicting 1-year survival in Stage I patients.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE309883 | GEO | 2026/03/04

REPOSITORIES: GEO