Identification of molecular pattern and prognostic risk model based on ligand-receptor pairs in liver cancer.

ABSTRACT:

Introduction

The tumor microenvironment of hepatocellular carcinoma is composed of multiple cells, and the interactive communication between cells drives tumor progression and characterizes the tumor. Communication between cells is mainly achieved through signal transduction between receptor ligands, and the rise of single-cell technology has made it possible to analyze the communication network between cells.

Methods

We applied a train of bioinformatic techniques and in vitro experiments. We analyzed the composition of the microenvironment of liver cancer by combining single-cell sequencing data and transcriptome sequencing data from liver cancer to construct molecular typing and risk models for LRs. Then, we analyzed association of it with prognosis, mutation, KEGG, tumor

SUBMITTER: Hu P 

PROVIDER: S-EPMC10560727 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature