Identification of an immune signature predicting prognosis risk of patients in lung adenocarcinoma.

ABSTRACT:

Background

Lung cancer has become the most common cancer type and caused the most cancer deaths. Lung adenocarcinoma (LUAD) is one of the major type of lung cancer. This study aimed to establish a signature based on immune related genes that can predict patients' OS for LUAD.

Methods

The expression data of 976 LUAD patients from The Cancer Genome Atlas database (training set) and the Gene Expression Omnibus database (four testing sets) and 1534 immune related genes from the ImmPort database were used for generation and validation of the signature. The glmnet Cox proportional hazards model was used to find the best gene model and construct the signature. To assess the independently prognostic ability of the signature, the Kaplan-Meier survival analysis and Cox's proportional

SUBMITTER: Song Q 

PROVIDER: S-EPMC6399972 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature