Identification of prognostic-related tumor microenvironment genes in lung adenocarcinoma and establishment of a prognostic prediction model.

ABSTRACT:

Background

With the swift advancements in immunotherapy for solid tumors, exploring immune characteristics of tumors has become increasingly important. The tumor microenvironment (TME) is closely related to the prognosis and treatment of tumor patients. This study aims to explore the expression characteristics and model construction of TME-related genes in lung adenocarcinoma (LUAD) patients, and provide help for clinical diagnosis and treatment.

Methods

Through the Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm, we analyzed the transcriptomic data of 559 samples from The Cancer Genome Atlas (TCGA) data set to estimate the stromal cells and immune cells, and screened the immune-related differentially expressed gen

SUBMITTER: Fang X 

PROVIDER: S-EPMC12261383 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature