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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
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.
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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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