PTEN-related risk classification models for predicting prognosis and immunotherapy response of hepatocellular carcinoma.

ABSTRACT:

Introduction

PTEN often mutates in tumors, and its manipulation is suggested to be used in the development of preclinical tools in cancer research. This study aims to explore the biological impact of gene expression related to PTEN mutations and to develop a prognostic classification model based on the heterogeneity of PTEN expression, and to explore its sensitivity as an indicator of prognosis and molecular and biologic features in hepatocellular carcinoma (HCC).

Material and methods

RNA-seq data and mutation data of the LIHC cohort sample downloaded from The Cancer Genome Atlas (TCGA). The HCC samples were grouped according to the mean expression of PTEN, and the tumor microenvironment (TME) was evaluated by ESTIMATE and ssGSEA. The prognostic classification model related

SUBMITTER: Cao L 

PROVIDER: S-EPMC10361452 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature