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Dataset Information

Development and validation of an immune-related prognostic signature in lung adenocarcinoma.


ABSTRACT:

Background

Lung adenocarcinomas (LUAD) is the most common histological subtype of lung cancers. Tumor immune microenvironment (TIME) is involved in tumorigeneses, progressions, and metastases. This study is aimed to develop a robust immune-related signature of LUAD.

Methods

A total of 1774 LUAD cases sourced from public databases were included in this study. Immune scores were calculated through ESTIMATE algorithm and weighted gene co-expression network analysis (WGCNA) was applied to identify immune-related genes. Stability selections and Lasso COX regressions were implemented to construct prognostic signatures. Validations and comparisons with other immune-related signatures were conducted in independent Gene Expression Omnibus (GEO) cohorts. Abundant infiltrated immune ce

SUBMITTER: Sun S 

PROVIDER: S-EPMC7433810 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature