Home > Publications database > A genetic risk score to personalize prostate cancer screening, applied to population data. > print |
001 | 156801 | ||
005 | 20240229123116.0 | ||
024 | 7 | _ | |a 10.1158/1055-9965.EPI-19-1527 |2 doi |
024 | 7 | _ | |a pmid:32581112 |2 pmid |
024 | 7 | _ | |a 1055-9965 |2 ISSN |
024 | 7 | _ | |a 1538-7755 |2 ISSN |
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037 | _ | _ | |a DKFZ-2020-01118 |
041 | _ | _ | |a eng |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Huynh-Le, Minh-Phuong |0 0000-0002-5025-4709 |b 0 |
245 | _ | _ | |a A genetic risk score to personalize prostate cancer screening, applied to population data. |
260 | _ | _ | |a Philadelphia, Pa. |c 2020 |b AACR |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1600331389_28430 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
500 | _ | _ | |a 2020 Sep;29(9):1731-1738 |
520 | _ | _ | |a 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.UK population incidence data (Cancer Research UK) 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≥7, stage T3-T4, PSA ≥10, or nodal/distant metastases). Using hazard ratios 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-years-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.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-years-standard risk level at ages 60 and 41, respectively. PPV of PSA was higher for men with higher PHS-adjusted age.PHS provides individualized estimates of risk-equivalent age for clinically significant prostate cancer. Screening initiation could be adjusted by a man's PHS.Personalized genetic risk assessments could inform prostate cancer screening decisions. |
536 | _ | _ | |a 313 - Cancer risk factors and prevention (POF3-313) |0 G:(DE-HGF)POF3-313 |c POF3-313 |f POF III |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
700 | 1 | _ | |a Fan, Chun Chieh |b 1 |
700 | 1 | _ | |a Karunamuni, Roshan |b 2 |
700 | 1 | _ | |a Walsh, Eleanor I |0 0000-0001-7696-3661 |b 3 |
700 | 1 | _ | |a Turner, Emma L |0 0000-0003-2575-387X |b 4 |
700 | 1 | _ | |a Lane, J Athene |0 0000-0003-4581-9346 |b 5 |
700 | 1 | _ | |a Martin, Richard M |0 0000-0002-7992-7719 |b 6 |
700 | 1 | _ | |a Neal, David E |0 0000-0002-6033-5086 |b 7 |
700 | 1 | _ | |a Donovan, Jenny L |0 0000-0002-6488-5472 |b 8 |
700 | 1 | _ | |a Hamdy, Freddie C |b 9 |
700 | 1 | _ | |a Parsons, J Kellogg Kellogg |b 10 |
700 | 1 | _ | |a Eeles, Rosalind A |0 0000-0002-3698-6241 |b 11 |
700 | 1 | _ | |a Easton, Douglas F |b 12 |
700 | 1 | _ | |a Kote-Jarai, Zsofia |b 13 |
700 | 1 | _ | |a Amin Al Olama, Ali |0 0000-0002-7178-3431 |b 14 |
700 | 1 | _ | |a Benlloch Garcia, Sara |b 15 |
700 | 1 | _ | |a Muir, Kenneth |0 0000-0001-6429-988X |b 16 |
700 | 1 | _ | |a Grönberg, Henrik |0 0000-0002-1073-2753 |b 17 |
700 | 1 | _ | |a Wiklund, Fredrik |0 0000-0002-4623-0544 |b 18 |
700 | 1 | _ | |a Aly, Markus |b 19 |
700 | 1 | _ | |a Schleutker, Johanna |0 0000-0002-1863-0305 |b 20 |
700 | 1 | _ | |a Sipeky, Csilla |b 21 |
700 | 1 | _ | |a Tammela, Teuvo |b 22 |
700 | 1 | _ | |a Nordestgaard, Børge Grønne |b 23 |
700 | 1 | _ | |a Key, Timothy J |0 0000-0003-2294-307X |b 24 |
700 | 1 | _ | |a Travis, Ruth C |0 0000-0002-9571-0763 |b 25 |
700 | 1 | _ | |a Pharoah, Paul D P |0 0000-0001-8494-732X |b 26 |
700 | 1 | _ | |a Pashayan, Nora |0 0000-0003-0843-2468 |b 27 |
700 | 1 | _ | |a Khaw, Kay-Tee |b 28 |
700 | 1 | _ | |a Thibodeau, Stephen N |b 29 |
700 | 1 | _ | |a McDonnell, Shannon K |b 30 |
700 | 1 | _ | |a Schaid, Daniel J |b 31 |
700 | 1 | _ | |a Maier, Christiane |b 32 |
700 | 1 | _ | |a Vogel, Walther |b 33 |
700 | 1 | _ | |a Luedeke, Manuel |b 34 |
700 | 1 | _ | |a Herkommer, Kathleen |0 0000-0002-0339-3394 |b 35 |
700 | 1 | _ | |a Kibel, Adam S |b 36 |
700 | 1 | _ | |a Cybulski, Cezary |b 37 |
700 | 1 | _ | |a Wokolorczyk, Dominika |b 38 |
700 | 1 | _ | |a Kluzniak, Wojciech |b 39 |
700 | 1 | _ | |a Cannon-Albright, Lisa A |0 0000-0003-2602-3668 |b 40 |
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700 | 1 | _ | |a Holleczek, Bernd |b 43 |
700 | 1 | _ | |a Park, Jong Y |b 44 |
700 | 1 | _ | |a Sellers, Thomas A |b 45 |
700 | 1 | _ | |a Lin, Hui-Yi |0 0000-0002-3307-5549 |b 46 |
700 | 1 | _ | |a Slavov, Chavdar Kroumov |b 47 |
700 | 1 | _ | |a Kaneva, Radka P |b 48 |
700 | 1 | _ | |a Mitev, Vanio I |b 49 |
700 | 1 | _ | |a Batra, Jyotsna |b 50 |
700 | 1 | _ | |a Clements, Judith A |b 51 |
700 | 1 | _ | |a Spurdle, Amanda B |0 0000-0003-1337-7897 |b 52 |
700 | 1 | _ | |a Teixeira, Manuel R |0 0000-0002-4896-5982 |b 53 |
700 | 1 | _ | |a Paulo, Paula |b 54 |
700 | 1 | _ | |a Maia, Sofia |b 55 |
700 | 1 | _ | |a Pandha, Hardev |b 56 |
700 | 1 | _ | |a Michael, Agnieszka |0 0000-0002-7262-6227 |b 57 |
700 | 1 | _ | |a Mills, Ian G |0 0000-0001-5347-5083 |b 58 |
700 | 1 | _ | |a Andreassen, Ole A |b 59 |
700 | 1 | _ | |a Dale, Anders M |b 60 |
700 | 1 | _ | |a Seibert, Tyler M |0 0000-0002-4089-7399 |b 61 |
773 | _ | _ | |a 10.1158/1055-9965.EPI-19-1527 |g p. cebp.1527.2019 - |0 PERI:(DE-600)2036781-8 |n 9 |p 1731-1738 |t Cancer epidemiology, biomarkers & prevention |v 29 |y 2020 |x 1538-7755 |
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