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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Clinical Investigation
2022
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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. |
format | Online Article Text |
id | pubmed-9536266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Society for Clinical Investigation |
record_format | MEDLINE/PubMed |
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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