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

Androgen-ablation therapies, which are the standard treatment for metastatic prostate cancer, invariably lead to acquired resistance. Hence, a systematic identification of additional drivers may provide useful insights into the development of effective therapies. Numerous microRNAs that are critical...

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Autores principales: Xue, Mengzhu, Liu, Haiyue, Zhang, Liwen, Chang, Hongyuan, Liu, Yuwei, Du, Shaowei, Yang, Yingqun, Wang, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394245/
https://www.ncbi.nlm.nih.gov/pubmed/28397780
http://dx.doi.org/10.1038/ncomms14917
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author Xue, Mengzhu
Liu, Haiyue
Zhang, Liwen
Chang, Hongyuan
Liu, Yuwei
Du, Shaowei
Yang, Yingqun
Wang, Peng
author_facet Xue, Mengzhu
Liu, Haiyue
Zhang, Liwen
Chang, Hongyuan
Liu, Yuwei
Du, Shaowei
Yang, Yingqun
Wang, Peng
author_sort Xue, Mengzhu
collection PubMed
description Androgen-ablation therapies, which are the standard treatment for metastatic prostate cancer, invariably lead to acquired resistance. Hence, a systematic identification of additional drivers may provide useful insights into the development of effective therapies. Numerous microRNAs that are critical for metastasis are dysregulated in metastatic prostate cancer, but the underlying molecular mechanism is poorly understood. We perform an integrative analysis of transcription factor (TF) and microRNA expression profiles and computationally identify three master TFs, AR, HOXC6 and NKX2-2, which induce the aberrant metastatic microRNA expression in a mutually exclusive fashion. Experimental validations confirm that the three TFs co-dysregulate a large number of metastasis-associated microRNAs. Moreover, their overexpression substantially enhances cell motility and is consistently associated with a poor clinical outcome. Finally, the mutually exclusive overexpression between AR, HOXC6 and NKX2-2 is preserved across various tissues and cancers, suggesting that mutual exclusivity may represent an intrinsic characteristic of driver TFs during tumorigenesis.
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spelling pubmed-53942452017-05-17 Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancer Xue, Mengzhu Liu, Haiyue Zhang, Liwen Chang, Hongyuan Liu, Yuwei Du, Shaowei Yang, Yingqun Wang, Peng Nat Commun Article Androgen-ablation therapies, which are the standard treatment for metastatic prostate cancer, invariably lead to acquired resistance. Hence, a systematic identification of additional drivers may provide useful insights into the development of effective therapies. Numerous microRNAs that are critical for metastasis are dysregulated in metastatic prostate cancer, but the underlying molecular mechanism is poorly understood. We perform an integrative analysis of transcription factor (TF) and microRNA expression profiles and computationally identify three master TFs, AR, HOXC6 and NKX2-2, which induce the aberrant metastatic microRNA expression in a mutually exclusive fashion. Experimental validations confirm that the three TFs co-dysregulate a large number of metastasis-associated microRNAs. Moreover, their overexpression substantially enhances cell motility and is consistently associated with a poor clinical outcome. Finally, the mutually exclusive overexpression between AR, HOXC6 and NKX2-2 is preserved across various tissues and cancers, suggesting that mutual exclusivity may represent an intrinsic characteristic of driver TFs during tumorigenesis. Nature Publishing Group 2017-04-11 /pmc/articles/PMC5394245/ /pubmed/28397780 http://dx.doi.org/10.1038/ncomms14917 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Xue, Mengzhu
Liu, Haiyue
Zhang, Liwen
Chang, Hongyuan
Liu, Yuwei
Du, Shaowei
Yang, Yingqun
Wang, Peng
Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancer
title Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancer
title_full Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancer
title_fullStr Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancer
title_full_unstemmed Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancer
title_short Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancer
title_sort computational identification of mutually exclusive transcriptional drivers dysregulating metastatic micrornas in prostate cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394245/
https://www.ncbi.nlm.nih.gov/pubmed/28397780
http://dx.doi.org/10.1038/ncomms14917
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