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Genetically adjusted PSA levels for prostate cancer screening
Prostate-specific antigen (PSA) screening for prostate cancer remains controversial because it increases overdiagnosis and overtreatment of clinically insignificant tumors. Accounting for genetic determinants of constitutive, non-cancer-related PSA variation has potential to improve screening utilit...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287565/ https://www.ncbi.nlm.nih.gov/pubmed/37264206 http://dx.doi.org/10.1038/s41591-023-02277-9 |
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author | Kachuri, Linda Hoffmann, Thomas J. Jiang, Yu Berndt, Sonja I. Shelley, John P. Schaffer, Kerry R. Machiela, Mitchell J. Freedman, Neal D. Huang, Wen-Yi Li, Shengchao A. Easterlin, Ryder Goodman, Phyllis J. Till, Cathee Thompson, Ian Lilja, Hans Van Den Eeden, Stephen K. Chanock, Stephen J. Haiman, Christopher A. Conti, David V. Klein, Robert J. Mosley, Jonathan D. Graff, Rebecca E. Witte, John S. |
author_facet | Kachuri, Linda Hoffmann, Thomas J. Jiang, Yu Berndt, Sonja I. Shelley, John P. Schaffer, Kerry R. Machiela, Mitchell J. Freedman, Neal D. Huang, Wen-Yi Li, Shengchao A. Easterlin, Ryder Goodman, Phyllis J. Till, Cathee Thompson, Ian Lilja, Hans Van Den Eeden, Stephen K. Chanock, Stephen J. Haiman, Christopher A. Conti, David V. Klein, Robert J. Mosley, Jonathan D. Graff, Rebecca E. Witte, John S. |
author_sort | Kachuri, Linda |
collection | PubMed |
description | Prostate-specific antigen (PSA) screening for prostate cancer remains controversial because it increases overdiagnosis and overtreatment of clinically insignificant tumors. Accounting for genetic determinants of constitutive, non-cancer-related PSA variation has potential to improve screening utility. In this study, we discovered 128 genome-wide significant associations (P < 5 × 10(−8)) in a multi-ancestry meta-analysis of 95,768 men and developed a PSA polygenic score (PGS(PSA)) that explains 9.61% of constitutive PSA variation. We found that, in men of European ancestry, using PGS-adjusted PSA would avoid up to 31% of negative prostate biopsies but also result in 12% fewer biopsies in patients with prostate cancer, mostly with Gleason score <7 tumors. Genetically adjusted PSA was more predictive of aggressive prostate cancer (odds ratio (OR) = 3.44, P = 6.2 × 10(−14), area under the curve (AUC) = 0.755) than unadjusted PSA (OR = 3.31, P = 1.1 × 10(−12), AUC = 0.738) in 106 cases and 23,667 controls. Compared to a prostate cancer PGS alone (AUC = 0.712), including genetically adjusted PSA improved detection of aggressive disease (AUC = 0.786, P = 7.2 × 10(−4)). Our findings highlight the potential utility of incorporating PGS for personalized biomarkers in prostate cancer screening. |
format | Online Article Text |
id | pubmed-10287565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-102875652023-06-24 Genetically adjusted PSA levels for prostate cancer screening Kachuri, Linda Hoffmann, Thomas J. Jiang, Yu Berndt, Sonja I. Shelley, John P. Schaffer, Kerry R. Machiela, Mitchell J. Freedman, Neal D. Huang, Wen-Yi Li, Shengchao A. Easterlin, Ryder Goodman, Phyllis J. Till, Cathee Thompson, Ian Lilja, Hans Van Den Eeden, Stephen K. Chanock, Stephen J. Haiman, Christopher A. Conti, David V. Klein, Robert J. Mosley, Jonathan D. Graff, Rebecca E. Witte, John S. Nat Med Article Prostate-specific antigen (PSA) screening for prostate cancer remains controversial because it increases overdiagnosis and overtreatment of clinically insignificant tumors. Accounting for genetic determinants of constitutive, non-cancer-related PSA variation has potential to improve screening utility. In this study, we discovered 128 genome-wide significant associations (P < 5 × 10(−8)) in a multi-ancestry meta-analysis of 95,768 men and developed a PSA polygenic score (PGS(PSA)) that explains 9.61% of constitutive PSA variation. We found that, in men of European ancestry, using PGS-adjusted PSA would avoid up to 31% of negative prostate biopsies but also result in 12% fewer biopsies in patients with prostate cancer, mostly with Gleason score <7 tumors. Genetically adjusted PSA was more predictive of aggressive prostate cancer (odds ratio (OR) = 3.44, P = 6.2 × 10(−14), area under the curve (AUC) = 0.755) than unadjusted PSA (OR = 3.31, P = 1.1 × 10(−12), AUC = 0.738) in 106 cases and 23,667 controls. Compared to a prostate cancer PGS alone (AUC = 0.712), including genetically adjusted PSA improved detection of aggressive disease (AUC = 0.786, P = 7.2 × 10(−4)). Our findings highlight the potential utility of incorporating PGS for personalized biomarkers in prostate cancer screening. Nature Publishing Group US 2023-06-01 2023 /pmc/articles/PMC10287565/ /pubmed/37264206 http://dx.doi.org/10.1038/s41591-023-02277-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kachuri, Linda Hoffmann, Thomas J. Jiang, Yu Berndt, Sonja I. Shelley, John P. Schaffer, Kerry R. Machiela, Mitchell J. Freedman, Neal D. Huang, Wen-Yi Li, Shengchao A. Easterlin, Ryder Goodman, Phyllis J. Till, Cathee Thompson, Ian Lilja, Hans Van Den Eeden, Stephen K. Chanock, Stephen J. Haiman, Christopher A. Conti, David V. Klein, Robert J. Mosley, Jonathan D. Graff, Rebecca E. Witte, John S. Genetically adjusted PSA levels for prostate cancer screening |
title | Genetically adjusted PSA levels for prostate cancer screening |
title_full | Genetically adjusted PSA levels for prostate cancer screening |
title_fullStr | Genetically adjusted PSA levels for prostate cancer screening |
title_full_unstemmed | Genetically adjusted PSA levels for prostate cancer screening |
title_short | Genetically adjusted PSA levels for prostate cancer screening |
title_sort | genetically adjusted psa levels for prostate cancer screening |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287565/ https://www.ncbi.nlm.nih.gov/pubmed/37264206 http://dx.doi.org/10.1038/s41591-023-02277-9 |
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