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A Genetic Risk Score to Personalize Prostate Cancer Screening, Applied to Population Data

Authors :
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 DP
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
Batra, Jyotsna
Clements, Judith A
Spurdle, Amanda B
Teixeira, Manuel R
Paulo, Paula
Maia, Sofia
Pandha, Hardev
Michael, Agnieszka
Mills, Ian G
Andreassen, Ole A
Dale, Anders M
Seibert, Tyler M
Australian Prostate Cancer BioResource (APCB)
PRACTICAL Consortium
Source :
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, vol 29, iss 9
Publication Year :
2020
Publisher :
eScholarship, University of California, 2020.

Abstract

BackgroundA 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.MethodsUnited 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.ResultsThe 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.ConclusionsPHS provides individualized estimates of risk-equivalent age for clinically significant prostate cancer. Screening initiation could be adjusted by a man's PHS.ImpactPersonalized genetic risk assessments could inform prostate cancer screening decisions.

Details

Database :
OpenAIRE
Journal :
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, vol 29, iss 9
Accession number :
edsair.od.......325..8eb1108a7fd2d988d0c49d6a9a218395