Identification and validation of tumor environment phenotypes in lung adenocarcinoma by integrative genome-scale analysis.

ABSTRACT:

Purpose

To comprehensively elucidate the landscape of the tumor environment (TME) of lung adenocarcinoma (LUAD), which has a profound impact on prognosis and response to immunotherapy.

Methods and materials

Using a large dataset of LUAD patients from The Cancer Genome Atlas, Gene Expression Omnibus database (GEO), and our institution (n = 1411), we estimated the infiltration pattern of 24 immune cell populations in each sample and systematically correlated the TME phenotypes with genomic traits and clinicopathologic characteristics.

Results

The LUAD microenvironment was classified into two distinct TME clusters (A and B), and a random forest classifier model was constructed. TMEcluster A was characterized by sparse distribution of immune cell infiltration, relatively

SUBMITTER: Bi G 

PROVIDER: S-EPMC11027644 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature