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Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score

Authors :
Huynh-Le, Minh-Phuong
Karunamuni, Roshan
Fan, Chun Chieh
Asona, Lui
Thompson, Wesley K
Martinez, Maria Elena
Eeles, Rosalind A
Kote-Jarai, Zsofia
Muir, Kenneth R
Lophatananon, Artitaya
Schleutker, Johanna
Pashayan, Nora
Batra, Jyotsna
Grönberg, Henrik
Neal, David E
Nordestgaard, Børge G
Tangen, Catherine M
MacInnis, Robert J
Wolk, Alicja
Albanes, Demetrius
Haiman, Christopher A
Travis, Ruth C
Blot, William J
Stanford, Janet L
Mucci, Lorelei A
West, Catharine ML
Nielsen, Sune F
Kibel, Adam S
Cussenot, Olivier
Berndt, Sonja I
Koutros, Stella
Sørensen, Karina Dalsgaard
Cybulski, Cezary
Grindedal, Eli Marie
Menegaux, Florence
Park, Jong Y
Ingles, Sue A
Maier, Christiane
Hamilton, Robert J
Rosenstein, Barry S
Lu, Yong-Jie
Watya, Stephen
Vega, Ana
Kogevinas, Manolis
Wiklund, Fredrik
Penney, Kathryn L
Huff, Chad D
Teixeira, Manuel R
Multigner, Luc
Leach, Robin J
Brenner, Hermann
John, Esther M
Kaneva, Radka
Logothetis, Christopher J
Neuhausen, Susan L
De Ruyck, Kim
Ost, Piet
Razack, Azad
Newcomb, Lisa F
Fowke, Jay H
Gamulin, Marija
Abraham, Aswin
Claessens, Frank
Castelao, Jose Esteban
Townsend, Paul A
Crawford, Dana C
Petrovics, Gyorgy
Van Schaik, Ron HN
Parent, Marie-Élise
Hu, Jennifer J
Zheng, Wei
UKGPCS Collaborators
APCB (Australian Prostate Cancer BioResource)
NC-LA PCaP Investigators
IMPACT Study Steering Committee And Collaborators
Canary PASS Investigators
Profile Study Steering Committee
PRACTICAL Consortium
Mills, Ian G
Andreassen, Ole A
Dale, Anders M
Seibert, Tyler M
Huynh-Le, Minh-Phuong [0000-0002-5025-4709]
Fan, Chun Chieh [0000-0001-9437-2128]
Asona, Lui [0000-0002-0076-3492]
Eeles, Rosalind A [0000-0002-3698-6241]
Muir, Kenneth R [0000-0001-6429-988X]
Schleutker, Johanna [0000-0002-1863-0305]
Pashayan, Nora [0000-0003-0843-2468]
Batra, Jyotsna [0000-0003-4646-6247]
Grönberg, Henrik [0000-0002-1073-2753]
Nordestgaard, Børge G [0000-0002-1954-7220]
Wolk, Alicja [0000-0001-7387-6845]
Travis, Ruth C [0000-0002-9571-0763]
West, Catharine ML [0000-0002-0839-3449]
Sørensen, Karina Dalsgaard [0000-0002-4902-5490]
Menegaux, Florence [0000-0003-3363-6411]
Park, Jong Y [0000-0002-6384-6447]
Lu, Yong-Jie [0000-0001-6174-6621]
Vega, Ana [0000-0002-7416-5137]
Kogevinas, Manolis [0000-0002-9605-0461]
Wiklund, Fredrik [0000-0002-4623-0544]
Teixeira, Manuel R [0000-0002-4896-5982]
Multigner, Luc [0000-0003-3205-8568]
Brenner, Hermann [0000-0002-6129-1572]
Ost, Piet [0000-0002-2203-4848]
Fowke, Jay H [0000-0003-3803-8162]
Gamulin, Marija [0000-0003-2431-7910]
Abraham, Aswin [0000-0003-0024-3339]
Crawford, Dana C [0000-0002-6437-6248]
Petrovics, Gyorgy [0000-0003-3732-284X]
Parent, Marie-Élise [0000-0002-4196-3773]
Zheng, Wei [0000-0003-1226-070X]
Seibert, Tyler M [0000-0002-4089-7399]
Apollo - University of Cambridge Repository
Source :
Prostate cancer and prostatic diseases, vol 25, iss 4
Publication Year :
2022
Publisher :
eScholarship, University of California, 2022.

Abstract

Funder: University of California (#C21CR2060), the Prostate Cancer Foundation<br />Funder: Research Council of Norway (#223273), KG Jebsen Stiftelsen, and South East Norway Health Authority<br />BACKGROUND: Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets. METHODS: In total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. The PHS model was evaluated in four testing datasets: African ancestry, Asian ancestry, and two of European Ancestry-the Cohort of Swedish Men (COSM) and the ProtecT study. Hazard ratios (HRs) were estimated to compare men with high versus low PHS for association with clinically significant, with any, and with fatal prostate cancer. The impact of genetic risk stratification on the positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was also measured. RESULTS: The final model (PHS290) had 290 SNPs with non-zero coefficients. Comparing, for example, the highest and lowest quintiles of PHS290, the hazard ratios (HRs) for clinically significant prostate cancer were 13.73 [95% CI: 12.43-15.16] in ProtecT, 7.07 [6.58-7.60] in African ancestry, 10.31 [9.58-11.11] in Asian ancestry, and 11.18 [10.34-12.09] in COSM. Similar results were seen for association with any and fatal prostate cancer. Without PHS stratification, the PPV of PSA testing for clinically significant prostate cancer in ProtecT was 0.12 (0.11-0.14). For the top 20% and top 5% of PHS290, the PPV of PSA testing was 0.19 (0.15-0.22) and 0.26 (0.19-0.33), respectively. CONCLUSIONS: We demonstrate better genetic risk stratification for clinically significant prostate cancer than prior versions of PHS in multi-ancestry datasets. This is promising for implementing precision-medicine approaches to prostate cancer screening decisions in diverse populations.

Details

Database :
OpenAIRE
Journal :
Prostate cancer and prostatic diseases, vol 25, iss 4
Accession number :
edsair.doi.dedup.....c5e45ca1a6a58ee0a8bd673a6a4c4fef