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Dataset Information

Construction of a tumor immune microenvironment-related risk scoring model for prognosis of hepatocellular carcinoma.


ABSTRACT:

Objective

This study aims to develop a prognostic model for HCC based on TME-related factors.

Introduction

Hepatocellular carcinoma (HCC) is characterized by a poor prognosis, largely due to the complex and heterogeneous interactions between stromal and immune cells within the tumor microenvironment (TME).

Methods

Genome and transcriptome data, as well as clinical information of HCC patients, were obtained from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). The TME score was evaluated using the "ESTIMATE" R package. Differentially expressed genes (DEGs) associated with TME phenotype were analyzed using the LIMMA R-package. Survival outcomes were compared using Kaplan-Meier curves with log-rank test and Cox proportional hazards model. Protein-Pro

SUBMITTER: Li X 

PROVIDER: S-EPMC12035210 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature