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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.
Afiliación
  • Kachuri L; Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
  • Hoffmann TJ; Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA.
  • Jiang Y; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
  • Berndt SI; Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
  • Shelley JP; Institute of Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
  • Schaffer KR; Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA.
  • Machiela MJ; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
  • Freedman ND; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Huang WY; Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
  • Li SA; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
  • Easterlin R; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
  • Goodman PJ; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
  • Till C; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
  • Thompson I; Biological and Medical Informatics, University of California, San Francisco, San Francisco, CA, USA.
  • Lilja H; Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Van Den Eeden SK; SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Chanock SJ; CHRISTUS Santa Rosa Medical Center Hospital, San Antonio, TX, USA.
  • Haiman CA; Departments of Laboratory Medicine, Surgery and Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Conti DV; Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden.
  • Klein RJ; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
  • Mosley JD; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
  • Graff RE; Center for Genetic Epidemiology, Department of Population and Preventive Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Witte JS; Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Nat Med ; 29(6): 1412-1423, 2023 Jun.
Article en En | MEDLINE | ID: mdl-37264206
ABSTRACT
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 (PGSPSA) 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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies / Systematic_reviews Límite: Humans / Male Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies / Systematic_reviews Límite: Humans / Male Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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