Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancer

Mengzhu Xue; Haiyue Liu; Liwen Zhang; Hongyuan Chang; Yuwei Liu; Shaowei Du; Yingqun Yang; Peng Wang

doi:10.1038/ncomms14917

Nature Communications (Apr 2017)

Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancer

Mengzhu Xue,
Haiyue Liu,
Liwen Zhang,
Hongyuan Chang,
Yuwei Liu,
Shaowei Du,
Yingqun Yang,
Peng Wang

Affiliations

Mengzhu Xue: Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences
Haiyue Liu: Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences
Liwen Zhang: Shanghai Institute of Materia Medica, Chinese Academy of Sciences
Hongyuan Chang: Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences
Yuwei Liu: Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences
Shaowei Du: Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences
Yingqun Yang: Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences
Peng Wang: Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences

DOI: https://doi.org/10.1038/ncomms14917
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 9

Abstract

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Dysregulation of microRNAs is thought to be important for metastasis in castration-resistant prostate cancer (CRPC), but its drivers are unknown. Here, the authors use computational analysis to identify HOXC6 and NKX2-2 in addition to AR as alternative drivers of dysregulated miRNA expression in CRPC.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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