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Dataset Information

Identification of methylation sites and signature genes with prognostic value for luminal breast cancer.


ABSTRACT:

Background

Robust and precise molecular prognostic predictors for luminal breast cancer are required. This study aimed to identify key methylation sites in luminal breast cancer, as well as precise molecular tools for predicting prognosis.

Methods

We compared methylation levels of normal and luminal breast cancer samples from The Cancer Genome Atlas dataset. The relationships among differentially methylated sites, corresponding mRNA expression levels and prognosis were further analysed. Differentially expressed genes in normal and cancerous samples were analysed, followed by the identification of prognostic signature genes. Samples were divided into low- and high-risk groups based on the signature genes. Prognoses of low- and high-risk groups were compared. The Gene Expressi

SUBMITTER: Xiao B 

PROVIDER: S-EPMC5896050 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature