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Patterns of structural variation define prostate cancer across disease states

The complex genomic landscape of prostate cancer evolves across disease states under therapeutic pressure directed toward inhibiting androgen receptor (AR) signaling. While significantly altered genes in prostate cancer have been extensively defined, there have been fewer systematic analyses of how...

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Autores principales: Zhou, Meng, Ko, Minjeong, Hoge, Anna C.H., Luu, Kelsey, Liu, Yuzhen, Russell, Magdalena L., Hannon, William W., Zhang, Zhenwei, Carrot-Zhang, Jian, Beroukhim, Rameen, Van Allen, Eliezer M., Choudhury, Atish D., Nelson, Peter S., Freedman, Matthew L., Taplin, Mary-Ellen, Meyerson, Matthew, Viswanathan, Srinivas R., Ha, Gavin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536266/
https://www.ncbi.nlm.nih.gov/pubmed/35943799
http://dx.doi.org/10.1172/jci.insight.161370
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author Zhou, Meng
Ko, Minjeong
Hoge, Anna C.H.
Luu, Kelsey
Liu, Yuzhen
Russell, Magdalena L.
Hannon, William W.
Zhang, Zhenwei
Carrot-Zhang, Jian
Beroukhim, Rameen
Van Allen, Eliezer M.
Choudhury, Atish D.
Nelson, Peter S.
Freedman, Matthew L.
Taplin, Mary-Ellen
Meyerson, Matthew
Viswanathan, Srinivas R.
Ha, Gavin
author_facet Zhou, Meng
Ko, Minjeong
Hoge, Anna C.H.
Luu, Kelsey
Liu, Yuzhen
Russell, Magdalena L.
Hannon, William W.
Zhang, Zhenwei
Carrot-Zhang, Jian
Beroukhim, Rameen
Van Allen, Eliezer M.
Choudhury, Atish D.
Nelson, Peter S.
Freedman, Matthew L.
Taplin, Mary-Ellen
Meyerson, Matthew
Viswanathan, Srinivas R.
Ha, Gavin
author_sort Zhou, Meng
collection PubMed
description The complex genomic landscape of prostate cancer evolves across disease states under therapeutic pressure directed toward inhibiting androgen receptor (AR) signaling. While significantly altered genes in prostate cancer have been extensively defined, there have been fewer systematic analyses of how structural variation shapes the genomic landscape of this disease across disease states. We uniformly characterized structural alterations across 531 localized and 143 metastatic prostate cancers profiled by whole genome sequencing, 125 metastatic samples of which were also profiled via whole transcriptome sequencing. We observed distinct significantly recurrent breakpoints in localized and metastatic castration-resistant prostate cancers (mCRPC), with pervasive alterations in noncoding regions flanking the AR, MYC, FOXA1, and LSAMP genes enriched in mCRPC and TMPRSS2-ERG rearrangements enriched in localized prostate cancer. We defined 9 subclasses of mCRPC based on signatures of structural variation, each associated with distinct genetic features and clinical outcomes. Our results comprehensively define patterns of structural variation in prostate cancer and identify clinically actionable subgroups based on whole genome profiling.
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spelling pubmed-95362662022-10-07 Patterns of structural variation define prostate cancer across disease states Zhou, Meng Ko, Minjeong Hoge, Anna C.H. Luu, Kelsey Liu, Yuzhen Russell, Magdalena L. Hannon, William W. Zhang, Zhenwei Carrot-Zhang, Jian Beroukhim, Rameen Van Allen, Eliezer M. Choudhury, Atish D. Nelson, Peter S. Freedman, Matthew L. Taplin, Mary-Ellen Meyerson, Matthew Viswanathan, Srinivas R. Ha, Gavin JCI Insight Research Article The complex genomic landscape of prostate cancer evolves across disease states under therapeutic pressure directed toward inhibiting androgen receptor (AR) signaling. While significantly altered genes in prostate cancer have been extensively defined, there have been fewer systematic analyses of how structural variation shapes the genomic landscape of this disease across disease states. We uniformly characterized structural alterations across 531 localized and 143 metastatic prostate cancers profiled by whole genome sequencing, 125 metastatic samples of which were also profiled via whole transcriptome sequencing. We observed distinct significantly recurrent breakpoints in localized and metastatic castration-resistant prostate cancers (mCRPC), with pervasive alterations in noncoding regions flanking the AR, MYC, FOXA1, and LSAMP genes enriched in mCRPC and TMPRSS2-ERG rearrangements enriched in localized prostate cancer. We defined 9 subclasses of mCRPC based on signatures of structural variation, each associated with distinct genetic features and clinical outcomes. Our results comprehensively define patterns of structural variation in prostate cancer and identify clinically actionable subgroups based on whole genome profiling. American Society for Clinical Investigation 2022-09-08 /pmc/articles/PMC9536266/ /pubmed/35943799 http://dx.doi.org/10.1172/jci.insight.161370 Text en © 2022 Zhou et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Zhou, Meng
Ko, Minjeong
Hoge, Anna C.H.
Luu, Kelsey
Liu, Yuzhen
Russell, Magdalena L.
Hannon, William W.
Zhang, Zhenwei
Carrot-Zhang, Jian
Beroukhim, Rameen
Van Allen, Eliezer M.
Choudhury, Atish D.
Nelson, Peter S.
Freedman, Matthew L.
Taplin, Mary-Ellen
Meyerson, Matthew
Viswanathan, Srinivas R.
Ha, Gavin
Patterns of structural variation define prostate cancer across disease states
title Patterns of structural variation define prostate cancer across disease states
title_full Patterns of structural variation define prostate cancer across disease states
title_fullStr Patterns of structural variation define prostate cancer across disease states
title_full_unstemmed Patterns of structural variation define prostate cancer across disease states
title_short Patterns of structural variation define prostate cancer across disease states
title_sort patterns of structural variation define prostate cancer across disease states
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536266/
https://www.ncbi.nlm.nih.gov/pubmed/35943799
http://dx.doi.org/10.1172/jci.insight.161370
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