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Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts

OBJECTIVES: To develop and validate a genetic tool to predict age of onset of aggressive prostate cancer (PCa) and to guide decisions of who to screen and at what age. DESIGN: Analysis of genotype, PCa status, and age to select single nucleotide polymorphisms (SNPs) associated with diagnosis. These...

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Autores principales: Seibert, Tyler M, Fan, Chun Chieh, Wang, Yunpeng, Zuber, Verena, Karunamuni, Roshan, Parsons, J Kellogg, Eeles, Rosalind A, Easton, Douglas F, Kote-Jarai, ZSofia, Al Olama, Ali Amin, Garcia, Sara Benlloch, Muir, Kenneth, Grönberg, Henrik, Wiklund, Fredrik, Aly, Markus, Schleutker, Johanna, Sipeky, Csilla, Tammela, Teuvo LJ, Nordestgaard, Børge G, Nielsen, Sune F, Weischer, Maren, Bisbjerg, Rasmus, Røder, M Andreas, Iversen, Peter, Key, Tim J, Travis, Ruth C, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Pharoah, Paul, Pashayan, Nora, Khaw, Kay-Tee, Maier, Christiane, Vogel, Walther, Luedeke, Manuel, Herkommer, Kathleen, Kibel, Adam S, Cybulski, Cezary, Wokolorczyk, Dominika, Kluzniak, Wojciech, Cannon-Albright, Lisa, Brenner, Hermann, Cuk, Katarina, Saum, Kai-Uwe, Park, Jong Y, Sellers, Thomas A, Slavov, Chavdar, Kaneva, Radka, Mitev, Vanio, Batra, Jyotsna, Clements, Judith A, Spurdle, Amanda, Teixeira, Manuel R, Paulo, Paula, Maia, Sofia, Pandha, Hardev, Michael, Agnieszka, Kierzek, Andrzej, Karow, David S, Mills, Ian G, Andreassen, Ole A, Dale, Anders M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5759091/
https://www.ncbi.nlm.nih.gov/pubmed/29321194
http://dx.doi.org/10.1136/bmj.j5757
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author Seibert, Tyler M
Fan, Chun Chieh
Wang, Yunpeng
Zuber, Verena
Karunamuni, Roshan
Parsons, J Kellogg
Eeles, Rosalind A
Easton, Douglas F
Kote-Jarai, ZSofia
Al Olama, Ali Amin
Garcia, Sara Benlloch
Muir, Kenneth
Grönberg, Henrik
Wiklund, Fredrik
Aly, Markus
Schleutker, Johanna
Sipeky, Csilla
Tammela, Teuvo LJ
Nordestgaard, Børge G
Nielsen, Sune F
Weischer, Maren
Bisbjerg, Rasmus
Røder, M Andreas
Iversen, Peter
Key, Tim J
Travis, Ruth C
Neal, David E
Donovan, Jenny L
Hamdy, Freddie C
Pharoah, Paul
Pashayan, Nora
Khaw, Kay-Tee
Maier, Christiane
Vogel, Walther
Luedeke, Manuel
Herkommer, Kathleen
Kibel, Adam S
Cybulski, Cezary
Wokolorczyk, Dominika
Kluzniak, Wojciech
Cannon-Albright, Lisa
Brenner, Hermann
Cuk, Katarina
Saum, Kai-Uwe
Park, Jong Y
Sellers, Thomas A
Slavov, Chavdar
Kaneva, Radka
Mitev, Vanio
Batra, Jyotsna
Clements, Judith A
Spurdle, Amanda
Teixeira, Manuel R
Paulo, Paula
Maia, Sofia
Pandha, Hardev
Michael, Agnieszka
Kierzek, Andrzej
Karow, David S
Mills, Ian G
Andreassen, Ole A
Dale, Anders M
author_facet Seibert, Tyler M
Fan, Chun Chieh
Wang, Yunpeng
Zuber, Verena
Karunamuni, Roshan
Parsons, J Kellogg
Eeles, Rosalind A
Easton, Douglas F
Kote-Jarai, ZSofia
Al Olama, Ali Amin
Garcia, Sara Benlloch
Muir, Kenneth
Grönberg, Henrik
Wiklund, Fredrik
Aly, Markus
Schleutker, Johanna
Sipeky, Csilla
Tammela, Teuvo LJ
Nordestgaard, Børge G
Nielsen, Sune F
Weischer, Maren
Bisbjerg, Rasmus
Røder, M Andreas
Iversen, Peter
Key, Tim J
Travis, Ruth C
Neal, David E
Donovan, Jenny L
Hamdy, Freddie C
Pharoah, Paul
Pashayan, Nora
Khaw, Kay-Tee
Maier, Christiane
Vogel, Walther
Luedeke, Manuel
Herkommer, Kathleen
Kibel, Adam S
Cybulski, Cezary
Wokolorczyk, Dominika
Kluzniak, Wojciech
Cannon-Albright, Lisa
Brenner, Hermann
Cuk, Katarina
Saum, Kai-Uwe
Park, Jong Y
Sellers, Thomas A
Slavov, Chavdar
Kaneva, Radka
Mitev, Vanio
Batra, Jyotsna
Clements, Judith A
Spurdle, Amanda
Teixeira, Manuel R
Paulo, Paula
Maia, Sofia
Pandha, Hardev
Michael, Agnieszka
Kierzek, Andrzej
Karow, David S
Mills, Ian G
Andreassen, Ole A
Dale, Anders M
author_sort Seibert, Tyler M
collection PubMed
description OBJECTIVES: To develop and validate a genetic tool to predict age of onset of aggressive prostate cancer (PCa) and to guide decisions of who to screen and at what age. DESIGN: Analysis of genotype, PCa status, and age to select single nucleotide polymorphisms (SNPs) associated with diagnosis. These polymorphisms were incorporated into a survival analysis to estimate their effects on age at diagnosis of aggressive PCa (that is, not eligible for surveillance according to National Comprehensive Cancer Network guidelines; any of Gleason score ≥7, stage T3-T4, PSA (prostate specific antigen) concentration ≥10 ng/L, nodal metastasis, distant metastasis). The resulting polygenic hazard score is an assessment of individual genetic risk. The final model was applied to an independent dataset containing genotype and PSA screening data. The hazard score was calculated for these men to test prediction of survival free from PCa. SETTING: Multiple institutions that were members of international PRACTICAL consortium. PARTICIPANTS: All consortium participants of European ancestry with known age, PCa status, and quality assured custom (iCOGS) array genotype data. The development dataset comprised 31 747 men; the validation dataset comprised 6411 men. MAIN OUTCOME MEASURES: Prediction with hazard score of age of onset of aggressive cancer in validation set. RESULTS: In the independent validation set, the hazard score calculated from 54 single nucleotide polymorphisms was a highly significant predictor of age at diagnosis of aggressive cancer (z=11.2, P<10(−16)). When men in the validation set with high scores (>98th centile) were compared with those with average scores (30th-70th centile), the hazard ratio for aggressive cancer was 2.9 (95% confidence interval 2.4 to 3.4). Inclusion of family history in a combined model did not improve prediction of onset of aggressive PCa (P=0.59), and polygenic hazard score performance remained high when family history was accounted for. Additionally, the positive predictive value of PSA screening for aggressive PCa was increased with increasing polygenic hazard score. CONCLUSIONS: Polygenic hazard scores can be used for personalised genetic risk estimates that can predict for age at onset of aggressive PCa.
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spelling pubmed-57590912018-01-30 Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts Seibert, Tyler M Fan, Chun Chieh Wang, Yunpeng Zuber, Verena Karunamuni, Roshan Parsons, J Kellogg Eeles, Rosalind A Easton, Douglas F Kote-Jarai, ZSofia Al Olama, Ali Amin Garcia, Sara Benlloch Muir, Kenneth Grönberg, Henrik Wiklund, Fredrik Aly, Markus Schleutker, Johanna Sipeky, Csilla Tammela, Teuvo LJ Nordestgaard, Børge G Nielsen, Sune F Weischer, Maren Bisbjerg, Rasmus Røder, M Andreas Iversen, Peter Key, Tim J Travis, Ruth C Neal, David E Donovan, Jenny L Hamdy, Freddie C Pharoah, Paul Pashayan, Nora Khaw, Kay-Tee Maier, Christiane Vogel, Walther Luedeke, Manuel Herkommer, Kathleen Kibel, Adam S Cybulski, Cezary Wokolorczyk, Dominika Kluzniak, Wojciech Cannon-Albright, Lisa Brenner, Hermann Cuk, Katarina Saum, Kai-Uwe Park, Jong Y Sellers, Thomas A Slavov, Chavdar Kaneva, Radka Mitev, Vanio Batra, Jyotsna Clements, Judith A Spurdle, Amanda Teixeira, Manuel R Paulo, Paula Maia, Sofia Pandha, Hardev Michael, Agnieszka Kierzek, Andrzej Karow, David S Mills, Ian G Andreassen, Ole A Dale, Anders M BMJ Research OBJECTIVES: To develop and validate a genetic tool to predict age of onset of aggressive prostate cancer (PCa) and to guide decisions of who to screen and at what age. DESIGN: Analysis of genotype, PCa status, and age to select single nucleotide polymorphisms (SNPs) associated with diagnosis. These polymorphisms were incorporated into a survival analysis to estimate their effects on age at diagnosis of aggressive PCa (that is, not eligible for surveillance according to National Comprehensive Cancer Network guidelines; any of Gleason score ≥7, stage T3-T4, PSA (prostate specific antigen) concentration ≥10 ng/L, nodal metastasis, distant metastasis). The resulting polygenic hazard score is an assessment of individual genetic risk. The final model was applied to an independent dataset containing genotype and PSA screening data. The hazard score was calculated for these men to test prediction of survival free from PCa. SETTING: Multiple institutions that were members of international PRACTICAL consortium. PARTICIPANTS: All consortium participants of European ancestry with known age, PCa status, and quality assured custom (iCOGS) array genotype data. The development dataset comprised 31 747 men; the validation dataset comprised 6411 men. MAIN OUTCOME MEASURES: Prediction with hazard score of age of onset of aggressive cancer in validation set. RESULTS: In the independent validation set, the hazard score calculated from 54 single nucleotide polymorphisms was a highly significant predictor of age at diagnosis of aggressive cancer (z=11.2, P<10(−16)). When men in the validation set with high scores (>98th centile) were compared with those with average scores (30th-70th centile), the hazard ratio for aggressive cancer was 2.9 (95% confidence interval 2.4 to 3.4). Inclusion of family history in a combined model did not improve prediction of onset of aggressive PCa (P=0.59), and polygenic hazard score performance remained high when family history was accounted for. Additionally, the positive predictive value of PSA screening for aggressive PCa was increased with increasing polygenic hazard score. CONCLUSIONS: Polygenic hazard scores can be used for personalised genetic risk estimates that can predict for age at onset of aggressive PCa. BMJ Publishing Group Ltd. 2018-01-10 /pmc/articles/PMC5759091/ /pubmed/29321194 http://dx.doi.org/10.1136/bmj.j5757 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research
Seibert, Tyler M
Fan, Chun Chieh
Wang, Yunpeng
Zuber, Verena
Karunamuni, Roshan
Parsons, J Kellogg
Eeles, Rosalind A
Easton, Douglas F
Kote-Jarai, ZSofia
Al Olama, Ali Amin
Garcia, Sara Benlloch
Muir, Kenneth
Grönberg, Henrik
Wiklund, Fredrik
Aly, Markus
Schleutker, Johanna
Sipeky, Csilla
Tammela, Teuvo LJ
Nordestgaard, Børge G
Nielsen, Sune F
Weischer, Maren
Bisbjerg, Rasmus
Røder, M Andreas
Iversen, Peter
Key, Tim J
Travis, Ruth C
Neal, David E
Donovan, Jenny L
Hamdy, Freddie C
Pharoah, Paul
Pashayan, Nora
Khaw, Kay-Tee
Maier, Christiane
Vogel, Walther
Luedeke, Manuel
Herkommer, Kathleen
Kibel, Adam S
Cybulski, Cezary
Wokolorczyk, Dominika
Kluzniak, Wojciech
Cannon-Albright, Lisa
Brenner, Hermann
Cuk, Katarina
Saum, Kai-Uwe
Park, Jong Y
Sellers, Thomas A
Slavov, Chavdar
Kaneva, Radka
Mitev, Vanio
Batra, Jyotsna
Clements, Judith A
Spurdle, Amanda
Teixeira, Manuel R
Paulo, Paula
Maia, Sofia
Pandha, Hardev
Michael, Agnieszka
Kierzek, Andrzej
Karow, David S
Mills, Ian G
Andreassen, Ole A
Dale, Anders M
Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts
title Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts
title_full Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts
title_fullStr Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts
title_full_unstemmed Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts
title_short Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts
title_sort polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5759091/
https://www.ncbi.nlm.nih.gov/pubmed/29321194
http://dx.doi.org/10.1136/bmj.j5757
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