Individualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissues.

ABSTRACT:

Background

Due to the heterogeneity of cancer, identifying differentially methylated (DM) CpG sites between a set of cancer samples and a set of normal samples cannot tell us which patients have methylation aberrations in a particular DM CpG site.

Methods

We firstly showed that the relative methylation-level orderings (RMOs) of CpG sites within individual normal lung tissues are highly stable but widely disrupted in lung adenocarcinoma tissues. This finding provides the basis of using the RankComp algorithm, previously developed for differential gene expression analysis at the individual level, to identify DM CpG sites in each cancer tissue compared with its own normal state. Briefly, through comparing with the highly stable normal RMOs predetermined in a large collection of

SUBMITTER: Yan H 

PROVIDER: S-EPMC5299650 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature