Classification of Lung Adenocarcinoma Based on Immune Checkpoint and Screening of Related Genes.

ABSTRACT:

Aims

Lung adenocarcinoma (LUAD) cells could escape from the monitoring of immune cells and metastasize rapidly through immune escape. Therefore, we aimed to develop a method to predict the prognosis of LUAD patients based on immune checkpoints and their associated genes, thus providing guidance for LUAD treatment.

Methods

Gene sequencing data were downloaded from the Cancer Genome Atlas (TCGA) and analyzed by R software and R Bioconductor software package. Based on immune checkpoint genes, kmdist clustering in ConsensusClusterPlus R software package was utilized to classify LUAD. CIBERSORT was used to quantify the abundance of immune cells in LUAD samples. LM22 signature was performed to distinguish 22 phenotypes of human infiltrating immune cells. Gene set variation analysi

SUBMITTER: Zhou T 

PROVIDER: S-EPMC8337117 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature