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Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data

A variety of models have been proposed to explain regions of recurrent somatic copy number alteration (SCNA) in human cancer. Our study employs Whole Genome DNA Sequence (WGS) data from tumor samples (n = 103) to comprehensively assess the role of the Knudson two hit genetic model in SCNA generation...

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Autores principales: Camacho, Niedzica, Van Loo, Peter, Edwards, Sandra, Kay, Jonathan D., Matthews, Lucy, Haase, Kerstin, Clark, Jeremy, Dennis, Nening, Thomas, Sarah, Kremeyer, Barbara, Zamora, Jorge, Butler, Adam P., Gundem, Gunes, Merson, Sue, Luxton, Hayley, Hawkins, Steve, Ghori, Mohammed, Marsden, Luke, Lambert, Adam, Karaszi, Katalin, Pelvender, Gill, Massie, Charlie E., Kote-Jarai, Zsofia, Raine, Keiran, Jones, David, Howat, William J., Hazell, Steven, Livni, Naomi, Fisher, Cyril, Ogden, Christopher, Kumar, Pardeep, Thompson, Alan, Nicol, David, Mayer, Erik, Dudderidge, Tim, Yu, Yongwei, Zhang, Hongwei, Shah, Nimish C., Gnanapragasam, Vincent J., Isaacs, William, Visakorpi, Tapio, Hamdy, Freddie, Berney, Dan, Verrill, Clare, Warren, Anne Y., Wedge, David C., Lynch, Andrew G., Foster, Christopher S., Lu, Yong Jie, Bova, G. Steven, Whitaker, Hayley C., McDermott, Ultan, Neal, David E., Eeles, Rosalind, Cooper, Colin S., Brewer, Daniel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628936/
https://www.ncbi.nlm.nih.gov/pubmed/28945760
http://dx.doi.org/10.1371/journal.pgen.1007001
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author Camacho, Niedzica
Van Loo, Peter
Edwards, Sandra
Kay, Jonathan D.
Matthews, Lucy
Haase, Kerstin
Clark, Jeremy
Dennis, Nening
Thomas, Sarah
Kremeyer, Barbara
Zamora, Jorge
Butler, Adam P.
Gundem, Gunes
Merson, Sue
Luxton, Hayley
Hawkins, Steve
Ghori, Mohammed
Marsden, Luke
Lambert, Adam
Karaszi, Katalin
Pelvender, Gill
Massie, Charlie E.
Kote-Jarai, Zsofia
Raine, Keiran
Jones, David
Howat, William J.
Hazell, Steven
Livni, Naomi
Fisher, Cyril
Ogden, Christopher
Kumar, Pardeep
Thompson, Alan
Nicol, David
Mayer, Erik
Dudderidge, Tim
Yu, Yongwei
Zhang, Hongwei
Shah, Nimish C.
Gnanapragasam, Vincent J.
Isaacs, William
Visakorpi, Tapio
Hamdy, Freddie
Berney, Dan
Verrill, Clare
Warren, Anne Y.
Wedge, David C.
Lynch, Andrew G.
Foster, Christopher S.
Lu, Yong Jie
Bova, G. Steven
Whitaker, Hayley C.
McDermott, Ultan
Neal, David E.
Eeles, Rosalind
Cooper, Colin S.
Brewer, Daniel S.
author_facet Camacho, Niedzica
Van Loo, Peter
Edwards, Sandra
Kay, Jonathan D.
Matthews, Lucy
Haase, Kerstin
Clark, Jeremy
Dennis, Nening
Thomas, Sarah
Kremeyer, Barbara
Zamora, Jorge
Butler, Adam P.
Gundem, Gunes
Merson, Sue
Luxton, Hayley
Hawkins, Steve
Ghori, Mohammed
Marsden, Luke
Lambert, Adam
Karaszi, Katalin
Pelvender, Gill
Massie, Charlie E.
Kote-Jarai, Zsofia
Raine, Keiran
Jones, David
Howat, William J.
Hazell, Steven
Livni, Naomi
Fisher, Cyril
Ogden, Christopher
Kumar, Pardeep
Thompson, Alan
Nicol, David
Mayer, Erik
Dudderidge, Tim
Yu, Yongwei
Zhang, Hongwei
Shah, Nimish C.
Gnanapragasam, Vincent J.
Isaacs, William
Visakorpi, Tapio
Hamdy, Freddie
Berney, Dan
Verrill, Clare
Warren, Anne Y.
Wedge, David C.
Lynch, Andrew G.
Foster, Christopher S.
Lu, Yong Jie
Bova, G. Steven
Whitaker, Hayley C.
McDermott, Ultan
Neal, David E.
Eeles, Rosalind
Cooper, Colin S.
Brewer, Daniel S.
author_sort Camacho, Niedzica
collection PubMed
description A variety of models have been proposed to explain regions of recurrent somatic copy number alteration (SCNA) in human cancer. Our study employs Whole Genome DNA Sequence (WGS) data from tumor samples (n = 103) to comprehensively assess the role of the Knudson two hit genetic model in SCNA generation in prostate cancer. 64 recurrent regions of loss and gain were detected, of which 28 were novel, including regions of loss with more than 15% frequency at Chr4p15.2-p15.1 (15.53%), Chr6q27 (16.50%) and Chr18q12.3 (17.48%). Comprehensive mutation screens of genes, lincRNA encoding sequences, control regions and conserved domains within SCNAs demonstrated that a two-hit genetic model was supported in only a minor proportion of recurrent SCNA losses examined (15/40). We found that recurrent breakpoints and regions of inversion often occur within Knudson model SCNAs, leading to the identification of ZNF292 as a target gene for the deletion at 6q14.3-q15 and NKX3.1 as a two-hit target at 8p21.3-p21.2. The importance of alterations of lincRNA sequences was illustrated by the identification of a novel mutational hotspot at the KCCAT42, FENDRR, CAT1886 and STCAT2 loci at the 16q23.1-q24.3 loss. Our data confirm that the burden of SCNAs is predictive of biochemical recurrence, define nine individual regions that are associated with relapse, and highlight the possible importance of ion channel and G-protein coupled-receptor (GPCR) pathways in cancer development. We concluded that a two-hit genetic model accounts for about one third of SCNA indicating that mechanisms, such haploinsufficiency and epigenetic inactivation, account for the remaining SCNA losses.
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spelling pubmed-56289362017-10-20 Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data Camacho, Niedzica Van Loo, Peter Edwards, Sandra Kay, Jonathan D. Matthews, Lucy Haase, Kerstin Clark, Jeremy Dennis, Nening Thomas, Sarah Kremeyer, Barbara Zamora, Jorge Butler, Adam P. Gundem, Gunes Merson, Sue Luxton, Hayley Hawkins, Steve Ghori, Mohammed Marsden, Luke Lambert, Adam Karaszi, Katalin Pelvender, Gill Massie, Charlie E. Kote-Jarai, Zsofia Raine, Keiran Jones, David Howat, William J. Hazell, Steven Livni, Naomi Fisher, Cyril Ogden, Christopher Kumar, Pardeep Thompson, Alan Nicol, David Mayer, Erik Dudderidge, Tim Yu, Yongwei Zhang, Hongwei Shah, Nimish C. Gnanapragasam, Vincent J. Isaacs, William Visakorpi, Tapio Hamdy, Freddie Berney, Dan Verrill, Clare Warren, Anne Y. Wedge, David C. Lynch, Andrew G. Foster, Christopher S. Lu, Yong Jie Bova, G. Steven Whitaker, Hayley C. McDermott, Ultan Neal, David E. Eeles, Rosalind Cooper, Colin S. Brewer, Daniel S. PLoS Genet Research Article A variety of models have been proposed to explain regions of recurrent somatic copy number alteration (SCNA) in human cancer. Our study employs Whole Genome DNA Sequence (WGS) data from tumor samples (n = 103) to comprehensively assess the role of the Knudson two hit genetic model in SCNA generation in prostate cancer. 64 recurrent regions of loss and gain were detected, of which 28 were novel, including regions of loss with more than 15% frequency at Chr4p15.2-p15.1 (15.53%), Chr6q27 (16.50%) and Chr18q12.3 (17.48%). Comprehensive mutation screens of genes, lincRNA encoding sequences, control regions and conserved domains within SCNAs demonstrated that a two-hit genetic model was supported in only a minor proportion of recurrent SCNA losses examined (15/40). We found that recurrent breakpoints and regions of inversion often occur within Knudson model SCNAs, leading to the identification of ZNF292 as a target gene for the deletion at 6q14.3-q15 and NKX3.1 as a two-hit target at 8p21.3-p21.2. The importance of alterations of lincRNA sequences was illustrated by the identification of a novel mutational hotspot at the KCCAT42, FENDRR, CAT1886 and STCAT2 loci at the 16q23.1-q24.3 loss. Our data confirm that the burden of SCNAs is predictive of biochemical recurrence, define nine individual regions that are associated with relapse, and highlight the possible importance of ion channel and G-protein coupled-receptor (GPCR) pathways in cancer development. We concluded that a two-hit genetic model accounts for about one third of SCNA indicating that mechanisms, such haploinsufficiency and epigenetic inactivation, account for the remaining SCNA losses. Public Library of Science 2017-09-25 /pmc/articles/PMC5628936/ /pubmed/28945760 http://dx.doi.org/10.1371/journal.pgen.1007001 Text en © 2017 Camacho et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Camacho, Niedzica
Van Loo, Peter
Edwards, Sandra
Kay, Jonathan D.
Matthews, Lucy
Haase, Kerstin
Clark, Jeremy
Dennis, Nening
Thomas, Sarah
Kremeyer, Barbara
Zamora, Jorge
Butler, Adam P.
Gundem, Gunes
Merson, Sue
Luxton, Hayley
Hawkins, Steve
Ghori, Mohammed
Marsden, Luke
Lambert, Adam
Karaszi, Katalin
Pelvender, Gill
Massie, Charlie E.
Kote-Jarai, Zsofia
Raine, Keiran
Jones, David
Howat, William J.
Hazell, Steven
Livni, Naomi
Fisher, Cyril
Ogden, Christopher
Kumar, Pardeep
Thompson, Alan
Nicol, David
Mayer, Erik
Dudderidge, Tim
Yu, Yongwei
Zhang, Hongwei
Shah, Nimish C.
Gnanapragasam, Vincent J.
Isaacs, William
Visakorpi, Tapio
Hamdy, Freddie
Berney, Dan
Verrill, Clare
Warren, Anne Y.
Wedge, David C.
Lynch, Andrew G.
Foster, Christopher S.
Lu, Yong Jie
Bova, G. Steven
Whitaker, Hayley C.
McDermott, Ultan
Neal, David E.
Eeles, Rosalind
Cooper, Colin S.
Brewer, Daniel S.
Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data
title Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data
title_full Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data
title_fullStr Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data
title_full_unstemmed Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data
title_short Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data
title_sort appraising the relevance of dna copy number loss and gain in prostate cancer using whole genome dna sequence data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628936/
https://www.ncbi.nlm.nih.gov/pubmed/28945760
http://dx.doi.org/10.1371/journal.pgen.1007001
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