Development and Validation of a Metabolic Gene-Based Prognostic Signature for Hepatocellular Carcinoma.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is a malignant tumor with great variation in prognosis among individuals. Changes in metabolism influence disease progression and clinical outcomes. The objective of this study was to determine the overall survival (OS) risk of HCC patients from a metabolic perspective.

Patients and methods

The model was constructed using the least absolute shrinkage and selection operator (LASSO) COX regression based on The Cancer Genome Atlas (TCGA, n=342) dataset. The International Cancer Genome Consortium (ICGC, n=232), GSE14520 (n=242) datasets, and a clinical cohort (n=64) were then used to assess the prognostic value of the signature.

Results

A 10 metabolic gene-based signature was constructed and verified as a robust and independent pr

SUBMITTER: Weng J 

PROVIDER: S-EPMC8018394 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature