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Dataset Information

Expression profiling of ion channel genes predicts clinical outcome in breast cancer.


ABSTRACT:

Background

Ion channels play a critical role in a wide variety of biological processes, including the development of human cancer. However, the overall impact of ion channels on tumorigenicity in breast cancer remains controversial.

Methods

We conduct microarray meta-analysis on 280 ion channel genes. We identify candidate ion channels that are implicated in breast cancer based on gene expression profiling. We test the relationship between the expression of ion channel genes and p53 mutation status, ER status, and histological tumor grade in the discovery cohort. A molecular signature consisting of ion channel genes (IC30) is identified by Spearman's rank correlation test conducted between tumor grade and gene expression. A risk scoring system is developed based on IC30. We

SUBMITTER: Ko JH 

PROVIDER: S-EPMC3849355 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature