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Dataset Information

Identification of novel microRNA regulatory pathways associated with heterogeneous prostate cancer.


ABSTRACT:

Background

MicroRNAs (miRNAs) are potential regulators that contribute to the pathogenesis of cancer. Microarray technologies have been widely used to characterize aberrant miRNA expression patterns in cancer. Nevertheless, the miRNAs expression signatures identified for a same cancer differs among laboratories due to the cancer heterogeneity. In addition, how the deregulated miRNAs coordinately contribute to the tumourigenic process of prostate cancer remains elusive.

Results

We evaluated five outlier detection algorithms that take into account the heterogeneity of cancer samples. ORT was selected as the best method and applied to four prostate cancer associated microRNA expression datasets. After microRNA target prediction and pathway enrichment mapping, 38 Gene Ontology t

SUBMITTER: Tang Y 

PROVIDER: S-EPMC3852103 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature