Integrating genetic mutations and expression profiles for survival prediction of lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is a set of heterogeneous diseases with distinct genetic and transcriptomic characteristics. Since the introduction of the 2011 International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society histologic classification, increasing evidence has provided insights into genomic mutations and rearrangements among individual histologic subtypes of LUAD. However, how genotypic and phenotypic features of LUAD are interconnected is not well understood.

Methods

We obtained the genomic, transcriptomic, and clinical data sets of 488 LUAD patients from The Cancer Genome Atlas database. Advanced statistical models were used to disentangle the interactions between genetic mutations and expression profiles, a

SUBMITTER: Song Y 

PROVIDER: S-EPMC6501026 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature