Unknown

Dataset Information

GULP1 as a novel diagnostic and predictive biomarker in hepatocellular carcinoma.


ABSTRACT:

Background/aims

Hepatocellular carcinoma (HCC) is characterized by high recurrence and mortality, necessitating the identification of reliable biomarkers. In this study, we aimed to identify the predictive gene signatures for HCC recurrence and evaluate the efficiency of GULP PTB domain-containing engulfment adaptor 1 (GULP1) as a predictive and diagnostic marker and therapeutic target for HCC.

Methods

We analyzed genomic datasets from The Cancer Genome Atlas and Gene Expression Omnibus databases via least absolute shrinkage and selection operator Cox regression and 10-fold cross-validation, leading to the development of a 15-gene risk score model, which was validated using three independent datasets. Serum GULP1 and α-fetoprotein levels were assessed to determine the diagno

SUBMITTER: Kim HS 

PROVIDER: S-EPMC12260647 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature