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A Genetic Risk Score to Personalize Prostate Cancer Screening, Applied to Population Data.
Huynh-Le, Minh-Phuong; Fan, Chun Chieh; Karunamuni, Roshan; Walsh, Eleanor I; Turner, Emma L; Lane, J Athene; Martin, Richard M; Neal, David E; Donovan, Jenny L; Hamdy, Freddie C; Parsons, J Kellogg; Eeles, Rosalind A; Easton, Douglas F; Kote-Jarai, Zsofia; Amin Al Olama, Ali; Benlloch Garcia, Sara; Muir, Kenneth; Grönberg, Henrik; Wiklund, Fredrik; Aly, Markus; Schleutker, Johanna; Sipeky, Csilla; Tammela, Teuvo Lj; Nordestgaard, Børge Grønne; Key, Timothy J; Travis, Ruth C; Pharoah, Paul D P; Pashayan, Nora; Khaw, Kay-Tee; Thibodeau, Stephen N; McDonnell, Shannon K; Schaid, Daniel J; Maier, Christiane; Vogel, Walther; Luedeke, Manuel; Herkommer, Kathleen; Kibel, Adam S; Cybulski, Cezary; Wokolorczyk, Dominika; Kluzniak, Wojciech; Cannon-Albright, Lisa A; Brenner, Hermann; Schöttker, Ben; Holleczek, Bernd; Park, Jong Y; Sellers, Thomas A; Lin, Hui-Yi; Slavov, Chavdar Kroumov; Kaneva, Radka P; Mitev, Vanio I.
  • Huynh-Le MP; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California.
  • Fan CC; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California.
  • Karunamuni R; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California.
  • Walsh EI; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California.
  • Turner EL; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California.
  • Lane JA; Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom.
  • Martin RM; Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom.
  • Neal DE; Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom.
  • Donovan JL; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
  • Hamdy FC; Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom.
  • Parsons JK; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
  • Eeles RA; National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, United Kingdom.
  • Easton DF; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
  • Kote-Jarai Z; Department of Oncology, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom.
  • Amin Al Olama A; Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom.
  • Benlloch Garcia S; School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
  • Muir K; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
  • Grönberg H; Faculty of Medical Science, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom.
  • Wiklund F; Department of Urology, University of California, San Diego, La Jolla, California.
  • Aly M; The Institute of Cancer Research, London, United Kingdom.
  • Schleutker J; Royal Marsden NHS Foundation Trust, London, United Kingdom.
  • Sipeky C; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
  • Tammela TL; The Institute of Cancer Research, London, United Kingdom.
  • Nordestgaard BG; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
  • Key TJ; Department of Clinical Neurosciences, Stroke Research Group, University of Cambridge, Cambridge, United Kingdom.
  • Travis RC; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
  • Pharoah PDP; Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, United Kingdom.
  • Pashayan N; Warwick Medical School, University of Warwick, Coventry, United Kingdom.
  • Khaw KT; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
  • Thibodeau SN; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
  • McDonnell SK; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
  • Schaid DJ; Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden.
  • Maier C; Department of Urology, Karolinska University Hospital, Stockholm, Sweden.
  • Vogel W; Institute of Biomedicine, University of Turku, Turku, Finland.
  • Luedeke M; Department of Medical Genetics, Genomics, Laboratory Division, Turku University Hospital, Turku, Finland.
  • Herkommer K; Institute of Biomedicine, University of Turku, Turku, Finland.
  • Kibel AS; Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University, Tampere, Finland.
  • Cybulski C; Department of Urology, University of Tampere, Tampere, Finland.
  • Wokolorczyk D; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Kluzniak W; Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark.
  • Cannon-Albright LA; University of Oxford, University of Oxford, Oxford, United Kingdom.
  • Brenner H; University of Oxford, University of Oxford, Oxford, United Kingdom.
  • Schöttker B; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Cambridge, United Kingdom.
  • Holleczek B; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Cambridge, United Kingdom.
  • Park JY; University College London, Department of Applied Health Research, London, United Kingdom.
  • Sellers TA; Clinical Gerontology Unit, University of Cambridge, Cambridge, United Kingdom.
  • Lin HY; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Slavov CK; Division of Biomedical Statistics & Informatics, Mayo Clinic, Rochester, Minnesota.
  • Kaneva RP; Division of Biomedical Statistics & Informatics, Mayo Clinic, Rochester, Minnesota.
  • Mitev VI; Humangenetik Tuebingen, Tuebingen, Germany.
Cancer Epidemiol Biomarkers Prev ; 29(9): 1731-1738, 2020 09.
Article en En | MEDLINE | ID: mdl-32581112
ABSTRACT

BACKGROUND:

A polygenic hazard score (PHS), the weighted sum of 54 SNP genotypes, was previously validated for association with clinically significant prostate cancer and for improved prostate cancer screening accuracy. Here, we assess the potential impact of PHS-informed screening.

METHODS:

United Kingdom population incidence data (Cancer Research United Kingdom) and data from the Cluster Randomized Trial of PSA Testing for Prostate Cancer were combined to estimate age-specific clinically significant prostate cancer incidence (Gleason score ≥7, stage T3-T4, PSA ≥10, or nodal/distant metastases). Using HRs estimated from the ProtecT prostate cancer trial, age-specific incidence rates were calculated for various PHS risk percentiles. Risk-equivalent age, when someone with a given PHS percentile has prostate cancer risk equivalent to an average 50-year-old man (50-year-standard risk), was derived from PHS and incidence data. Positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was calculated using PHS-adjusted age groups.

RESULTS:

The expected age at diagnosis of clinically significant prostate cancer differs by 19 years between the 1st and 99th PHS percentiles men with PHS in the 1st and 99th percentiles reach the 50-year-standard risk level at ages 60 and 41, respectively. PPV of PSA was higher for men with higher PHS-adjusted age.

CONCLUSIONS:

PHS provides individualized estimates of risk-equivalent age for clinically significant prostate cancer. Screening initiation could be adjusted by a man's PHS. IMPACT Personalized genetic risk assessments could inform prostate cancer screening decisions.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article