Prognostic model of lung adenocarcinoma based on immunoprognosis-related genes and related drug prediction.

ABSTRACT:

Background

Lung cancer (LC) is the most common malignant tumor in the world, and lung adenocarcinoma (LUAD) is the most common type of LC. Immune microenvironment plays a critical role in cancer from onset to relapse. We aimed to identify an effective immune-related prediction model for assessing prognosis and predicting the relevant tumor therapeutic drugs.

Methods

According to the RNA sequencing data of LUAD transcriptome in The Cancer Genome Atlas (TCGA) database and the immune-related genes obtained from IMMPORT (The Immunology Database and Analysis Portal) database, immune prognosis-related genes were screened. Weighted gene co-expression network analysis (WGCNA) identified hub genes in differentially expressed immune-related genes (DEIRGs). Least absolute shrinkage and

SUBMITTER: Shen Z 

PROVIDER: S-EPMC11494575 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature