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Dataset Information

Multi-omics analysis of genomics, epigenomics and transcriptomics for molecular subtypes and core genes for lung adenocarcinoma.


ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is the most frequently diagnosed histological subtype of lung cancer. Our purpose was to explore molecular subtypes and core genes for LUAD using multi-omics analysis.

Methods

Methylation, transcriptome, copy number variation (CNV), mutations and clinical feature information concerning LUAD were retrieved from The Cancer Genome Atlas Database (TCGA). Molecular subtypes were conducted via the "iClusterPlus" package in R, followed by Kaplan-Meier survival analysis. Correlation between iCluster subtypes and immune cells was analyzed. Core genes were screened out by integration of methylation, CNV and gene expression, which were externally validated by independent datasets.

Results

Two iCluster subtypes were conducted for LUAD. Patien

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC7942004 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature