Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma.

ABSTRACT:

Background

Lung cancer is the leading cause of the largest number of deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. In order to understand the molecular basis of lung adenocarcinoma, integrative analysis have been performed by using genomics, transcriptomics, epigenomics, proteomics and clinical data. Besides, molecular prognostic signatures have been generated for lung adenocarcinoma by using gene expression levels in tumor samples. However, we need signatures including different types of molecular data, even cohort or patient-based biomarkers which are the candidates of molecular targeting.

Results

We built an R pipeline to carry out an integrated meta-analysis of the genomic alterations including single-nucleotide variations and the copy

SUBMITTER: Zengin T 

PROVIDER: S-EPMC7526001 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature