A signature based on NKG2D ligands to predict the recurrence of hepatocellular carcinoma after radical resection.

ABSTRACT:

Introduction

Due to the high recurrence, the HCC prognosis remains poor. Yet, the biomarkers for predicting the recurrence of high-risk patients are currently lacking. We aimed to develop a signature to predict the recurrence of HCC based on NKG2D ligands.

Methods

The multivariate Cox proportional hazards regression was used to select recurrence-related variables of NKG2D ligands in HCC patients from The Cancer Genome Atlas (TCGA). HCC patients from the OEP000321 dataset and Guilin cohort were used to validate the predictive signature. The mRNA expression of NKG2D ligands was measured by QRT-PCR. Immunohistochemistry analysis of HCC tissue microarray samples was used to identify the expression of NKG2D ligands.

Results

In this study, NKG2D ligands expression in the mR

SUBMITTER: Chen D 

PROVIDER: S-EPMC10028019 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature