Prognostic characterization of immune molecular subtypes in non-small cell lung cancer to immunotherapy.

ABSTRACT:

Background

Non-small cell lung cancer (NSCLC) was usually associated with poor prognosis and invalid therapeutical response to immunotherapy due to biological heterogeneity. It is urgent to screen reliable biomarkers, especially immunotherapy-associated biomarkers, that can predict outcomes of these patients.

Methods

Gene expression profiles of 1026 NSCLC patients were collected from The Cancer Genome Atlas (TCGA) datasets with their corresponding clinical and somatic mutation data. Based on immune infiltration scores, molecular clustering classification was performed to identify immune subtypes in NSCLC. After the functional enrichment analysis of subtypes, hub genes were further screened using univariate Cox, Lasso, and multivariate Cox regression analysis, and the risk sc

SUBMITTER: Li C 

PROVIDER: S-EPMC8628446 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature