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Gu J, Chery L, González GMN, Huff C, Strom S, Jones JA, Griffith DP, Canfield SE, Wang X, Huang X, Roberson P, Meng QH, Troncoso P, Ittmann M, Covinsky M, Scheurer M, Irizarry Ramirez M, Pettaway CA. A west African ancestry-associated SNP on 8q24 predicts a positive biopsy in African American men with suspected prostate cancer following PSA screening. Prostate 2024; 84:694-705. [PMID: 38477020 DOI: 10.1002/pros.24686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 01/28/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND African American (AA) men have the highest incidence and mortality rates of prostate cancer (PCa) among all racial groups in the United States. While race is a social construct, for AA men, this overlaps with west African ancestry. Many of the PCa susceptibility variants exhibit distinct allele frequencies and risk estimates across different races and contribute substantially to the large disparities of PCa incidence among races. We previously reported that a single-nucleotide polymorphism (SNP) in 8q24, rs7824364, was strongly associated with west African ancestry and increased risks of PCa in both AA and Puerto Rican men. In this study, we determined whether this SNP can predict biopsy positivity and detection of clinically significant disease (Gleason score [GS] ≥ 7) in a cohort of AA men with suspected PCa. METHODS SNP rs7824364 was genotyped in 199 AA men with elevated total prostate-specific antigen (PSA) (>2.5 ng/mL) or abnormal digital rectal exam (DRE) and the associations of different genotypes with biopsy positivity and clinically significant disease were analyzed. RESULTS The variant allele carriers were significantly over-represented in the biopsy-positive group compared to the biopsy-negative group (44% vs. 25.7%, p = 0.011). In the multivariate logistic regression analyses, variant allele carriers were at a more than a twofold increased risk of a positive biopsy (odds ratio [OR] = 2.14, 95% confidence interval [CI] = 1.06-4.32). Moreover, the variant allele was a predictor (OR = 2.26, 95% CI = 1.06-4.84) of a positive biopsy in the subgroup of patients with PSA < 10 ng/mL and normal DRE. The variant allele carriers were also more prevalent in cases with GS ≥ 7 compared to cases with GS < 7 and benign biopsy. CONCLUSIONS This study demonstrated that the west African ancestry-specific SNP rs7824364 on 8q24 independently predicted a positive prostate biopsy in AA men who were candidates for prostate biopsy subsequent to PCa screening.
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Affiliation(s)
- Jian Gu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Lisly Chery
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Chad Huff
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sara Strom
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jeffrey A Jones
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Department of Urology, Baylor College of Medicine, Houston, Texas, USA
- Urology Section, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Donald P Griffith
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Steven E Canfield
- Division of Urology, UTHealth McGovern Medical School, Houston, Texas, USA
| | - Xuemei Wang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Xuelin Huang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Pamela Roberson
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Qing H Meng
- Department of Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Patricia Troncoso
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Michael Ittmann
- Department of Pathology, Baylor College of Medicine, Houston, Texas, USA
| | - Michael Covinsky
- Division of Pathology, UTHealth McGovern Medical School, Houston, Texas, USA
| | - Michael Scheurer
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Margarita Irizarry Ramirez
- Department of Graduate Studies, Clinical Laboratory Sciences, School of Health Professions, University of Puerto Rico, San Juan, Puerto Rico
| | - Curtis A Pettaway
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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Miyahira AK, Kamran SC, Jamaspishvili T, Marshall CH, Maxwell KN, Parolia A, Zorko NA, Pienta KJ, Soule HR. Disrupting prostate cancer research: Challenge accepted; report from the 2023 Coffey-Holden Prostate Cancer Academy Meeting. Prostate 2024. [PMID: 38682886 DOI: 10.1002/pros.24721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 04/16/2024] [Indexed: 05/01/2024]
Abstract
INTRODUCTION The 2023 Coffey-Holden Prostate Cancer Academy (CHPCA) Meeting, themed "Disrupting Prostate Cancer Research: Challenge Accepted," was convened at the University of California, Los Angeles, Luskin Conference Center, in Los Angeles, CA, from June 22 to 25, 2023. METHODS The 2023 marked the 10th Annual CHPCA Meeting, a discussion-oriented scientific think-tank conference convened annually by the Prostate Cancer Foundation, which centers on innovative and emerging research topics deemed pivotal for advancing critical unmet needs in prostate cancer research and clinical care. The 2023 CHPCA Meeting was attended by 81 academic investigators and included 40 talks across 8 sessions. RESULTS The central topic areas covered at the meeting included: targeting transcription factor neo-enhancesomes in cancer, AR as a pro-differentiation and oncogenic transcription factor, why few are cured with androgen deprivation therapy and how to change dogma to cure metastatic prostate cancer without castration, reducing prostate cancer morbidity and mortality with genetics, opportunities for radiation to enhance therapeutic benefit in oligometastatic prostate cancer, novel immunotherapeutic approaches, and the new era of artificial intelligence-driven precision medicine. DISCUSSION This article provides an overview of the scientific presentations delivered at the 2023 CHPCA Meeting, such that this knowledge can help in facilitating the advancement of prostate cancer research worldwide.
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Affiliation(s)
- Andrea K Miyahira
- Science Department, Prostate Cancer Foundation, Santa Monica, California, USA
| | - Sophia C Kamran
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Tamara Jamaspishvili
- Department of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Catherine H Marshall
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kara N Maxwell
- Department of Medicine-Hematology/Oncology and Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Medicine Service, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Abhijit Parolia
- Department of Pathology, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas A Zorko
- Division of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
- University of Minnesota Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA
| | - Kenneth J Pienta
- The James Buchanan Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Howard R Soule
- Science Department, Prostate Cancer Foundation, Santa Monica, California, USA
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Liu Y, Ritchie SC, Teo SM, Ruuskanen MO, Kambur O, Zhu Q, Sanders J, Vázquez-Baeza Y, Verspoor K, Jousilahti P, Lahti L, Niiranen T, Salomaa V, Havulinna AS, Knight R, Méric G, Inouye M. Integration of polygenic and gut metagenomic risk prediction for common diseases. Nat Aging 2024; 4:584-594. [PMID: 38528230 PMCID: PMC11031402 DOI: 10.1038/s43587-024-00590-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 02/13/2024] [Indexed: 03/27/2024]
Abstract
Multiomics has shown promise in noninvasive risk profiling and early detection of various common diseases. In the present study, in a prospective population-based cohort with ~18 years of e-health record follow-up, we investigated the incremental and combined value of genomic and gut metagenomic risk assessment compared with conventional risk factors for predicting incident coronary artery disease (CAD), type 2 diabetes (T2D), Alzheimer disease and prostate cancer. We found that polygenic risk scores (PRSs) improved prediction over conventional risk factors for all diseases. Gut microbiome scores improved predictive capacity over baseline age for CAD, T2D and prostate cancer. Integrated risk models of PRSs, gut microbiome scores and conventional risk factors achieved the highest predictive performance for all diseases studied compared with models based on conventional risk factors alone. The present study demonstrates that integrated PRSs and gut metagenomic risk models improve the predictive value over conventional risk factors for common chronic diseases.
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Affiliation(s)
- Yang Liu
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
- Department of Clinical Pathology, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia.
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
| | - Scott C Ritchie
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Cambridge Centre of Research Excellence, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - Shu Mei Teo
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Matti O Ruuskanen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Computing, University of Turku, Turku, Finland
| | - Oleg Kambur
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Qiyun Zhu
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
- Biodesign Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, AZ, USA
| | - Jon Sanders
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Karin Verspoor
- School of Computing Technologies, RMIT University, Melbourne, Victoria, Australia
- School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia
| | - Pekka Jousilahti
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Leo Lahti
- Department of Computing, University of Turku, Turku, Finland
| | - Teemu Niiranen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Division of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Aki S Havulinna
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, FIMM-HiLIFE, University of Helsinki, Helsinki, Finland
| | - Rob Knight
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Guillaume Méric
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia
- Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Melbourne, Victoria, Australia
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Michael Inouye
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
- Department of Clinical Pathology, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia.
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
- British Heart Foundation Cambridge Centre of Research Excellence, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK.
- The Alan Turing Institute, London, UK.
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Batura D, Patel A, Gandhi A, Pradhan A, Bachoo S, Tetea AA, Bassett P, Hellawell G. Ethnic differences in prostate cancer presentation: a time for testing advocacy. World J Urol 2023; 41:3543-3549. [PMID: 37821779 DOI: 10.1007/s00345-023-04644-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 09/16/2023] [Indexed: 10/13/2023] Open
Abstract
PURPOSE It is recognised that there are ethnic variations in prostate cancer (PCa) epidemiology, affecting outcomes. South Asians (SA) are less likely to be diagnosed with PCa than others, although recent evidence shows PCa is rising amongst SA. This study examines the differences between ethnicities in PCa presentation, progression risk and prostate-specific antigen (PSA) testing use. METHODS This retrospective study is on biopsy-diagnosed PCa patients from a multi-ethnic area in London. We grouped ethnicities as SA, White, Black and others, compared presenting symptoms, PSA, Gleason score (GS), and clinical stage, and estimated the D'Amico risk across ethnicities. We also evaluated if the presentation was due to symptoms or an elevated PSA. RESULTS We studied 1176 patients with biopsy-proven PCa. Black patients were diagnosed about 3 years before others (65 ± 8.8 years, p = < 0.001). There was no significant difference between ethnicities in presenting PSAs. At presentation, 65-71% were in the high-risk D'Amico category across all ethnicities. SA were least likely to have PSA test-detected cancers (38%, p = 0.001) and had the highest proportion with advanced GS (30.6%). There was no significant difference in the risk of disease progression between groups. CONCLUSION Black men were diagnosed youngest. SA had the highest proportion with advanced GS. Most ethnicities had a high risk of progression. SA had the least PSA test-detected cases. The significance of the study lies in understanding ethnic variations in PCa, which could direct targeted prevention and management. We recommend further ethnicity studies and interventions encouraging SA men to embrace PSA testing.
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Affiliation(s)
- Deepak Batura
- Department of Urology, London North West University Healthcare NHS Trust, Watford Road, Harrow, London, HA1 3UJ, UK.
| | - Anish Patel
- Department of Urology, London North West University Healthcare NHS Trust, Watford Road, Harrow, London, HA1 3UJ, UK
| | - Akash Gandhi
- Department of Urology, London North West University Healthcare NHS Trust, Watford Road, Harrow, London, HA1 3UJ, UK
| | - Ameena Pradhan
- Department of Urology, London North West University Healthcare NHS Trust, Watford Road, Harrow, London, HA1 3UJ, UK
| | - Samsara Bachoo
- Department of Urology, London North West University Healthcare NHS Trust, Watford Road, Harrow, London, HA1 3UJ, UK
| | - Alina Alexandra Tetea
- Department of Urology, London North West University Healthcare NHS Trust, Watford Road, Harrow, London, HA1 3UJ, UK
| | - Paul Bassett
- Statsconsultancy Ltd, 40 Longwood Lane, Amersham, HP7 9EN, UK
| | - Giles Hellawell
- Department of Urology, London North West University Healthcare NHS Trust, Watford Road, Harrow, London, HA1 3UJ, UK
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Li J, Huang X, Chen H, Gu C, Ni B, Zhou J. LINC01088/miR-22/CDC6 Axis Regulates Prostate Cancer Progression by Activating the PI3K/AKT Pathway. Mediators Inflamm 2023; 2023:9207148. [PMID: 37501932 PMCID: PMC10371595 DOI: 10.1155/2023/9207148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/31/2023] [Accepted: 04/24/2023] [Indexed: 07/29/2023] Open
Abstract
Background Prostate cancer (PCa) harms the male reproductive system, and lncRNA may play an important role in it. Here, we report that the LINC01088/microRNA- (miRNA/miR-) 22/cell division cycle 6 (CDC6) axis regulated through the phosphatidylinositide 3-kinases- (PI3K-) protein kinase B (AKT) signaling pathway controls the development of PCa. Methods lncRNA/miRNA/mRNA associated with PCa was downloaded and analyzed by Gene Expression Omnibus. The expression and correlation of LINC01088/miR-22/CDC6 in PCa were analyzed and verified by RT-qPCR. Dual-luciferase was used to analyze the binding between miR-22 and LINC01088 or CDC6. Cell Counting Kit-8 and Transwell were used to analyze the effects of LINC01088/miR-22/CDC6 interactions on PCa cell viability or migration/invasion ability. Localization of LINC01088 in cells was analyzed by nuclear cytoplasmic separation. The effect of LINC01088/miR-22/CDC6 interaction on downstream PI3K/AKT signaling was analyzed by Western blot. Results LINC01088 or CDC6 was upregulated in prostate tumor tissues or cells, whereas miR-22 was downregulated, miR-22 directly targets both LINC01088 and CDC6. si-LINC01088 inhibits the PCa process by suppressing the PI3K/AKT pathway. CDC6 reverses si-linc01088-mediated cell growth inhibition and reduction of PI3K and AKT protein levels. Conclusion Our results demonstrate that the LINC01088/miR-22/CDC6 axis functions in PCa progression and provide a promising diagnostic and therapeutic target.
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Affiliation(s)
- Jianwei Li
- Department of Urology, Longgang District People's Hospital of Shenzhen, Guangdong 518000, China
| | - Xinghua Huang
- Department of Urology, Longgang District People's Hospital of Shenzhen, Guangdong 518000, China
| | - Haodong Chen
- Department of Urology, Longgang District People's Hospital of Shenzhen, Guangdong 518000, China
| | - Caifu Gu
- Department of Thyroid and Breast Surgery, Longgang Central Hospital, Shenzhen, Guangdong 518000, China
| | - Binyu Ni
- Department of Pediatrics, Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong 518000, China
| | - Jianhua Zhou
- Department of Urology, Longgang District People's Hospital of Shenzhen, Guangdong 518000, China
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Ruan X, Huang D, Huang J, Tsu JHL, Na R. Genetic risk assessment of lethal prostate cancer using polygenic risk score and hereditary cancer susceptibility genes. J Transl Med 2023; 21:446. [PMID: 37415201 PMCID: PMC10327136 DOI: 10.1186/s12967-023-04316-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND The genetic risk of aggressive prostate cancer (PCa) is hard to be assessed due to the lack of aggressiveness-related single-nucleotide polymorphisms (SNPs). Prostate volume (PV) is a potential well-established risk factor for aggressive PCa, we hypothesize that polygenic risk score (PRS) based on benign prostate hyperplasia (BPH) or PV-related SNPs may also predict the risk of aggressive PCa or PCa death. METHODS We evaluated a PRS using 21 BPH/PV-associated SNPs, two established PCa risk-related PRS and 10 guideline-recommended hereditary cancer risk genes in the population-based UK Biobank cohort (N = 209,502). RESULTS The BPH/PV PRS was significantly inversely associated with the incidence of lethal PCa as well as the natural progress in PCa patients (hazard ratio, HR = 0.92, 95% confidence interval [CI]: 0.87-0.98, P = 0.02; HR = 0.92, 95% CI 0.86-0.98, P = 0.01). Compared with men at the top 25th PRS, PCa patients with bottom 25th PRS would have a 1.41-fold (HR, 95% CI 1.16-1.69, P = 0.001) increased PCa fatal risk and shorter survival time at 0.37 yr (95% CI 0.14-0.61, P = 0.002). In addition, patients with BRCA2 or PALB2 pathogenic mutations would also have a high risk of PCa death (HR = 3.90, 95% CI 2.34-6.51, P = 1.79 × 10-7; HR = 4.29, 95% CI 1.36-13.50, P = 0.01, respectively). However, no interactive but independent effects were detected between this PRS and pathogenic mutations. CONCLUSIONS Our findings provide a new measurement of PCa patients' natural disease outcomes via genetic risk ways.
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Affiliation(s)
- Xiaohao Ruan
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Da Huang
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jingyi Huang
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - James Hok-Leung Tsu
- Division of Urology, Department of Surgery, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Rong Na
- Division of Urology, Department of Surgery, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China.
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Seibert TM, Garraway IP, Plym A, Mahal BA, Giri V, Jacobs MF, Cheng HH, Loeb S, Helfand BT, Eeles RA, Morgan TM. Genetic Risk Prediction for Prostate Cancer: Implications for Early Detection and Prevention. Eur Urol 2023; 83:241-8. [PMID: 36609003 DOI: 10.1016/j.eururo.2022.12.021] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 11/15/2022] [Accepted: 12/20/2022] [Indexed: 01/06/2023]
Abstract
CONTEXT Prostate cancer (PCa) is a leading cause of death and partially heritable. Genetic risk prediction might be useful for strategies to reduce PCa mortality through early detection and prevention. OBJECTIVE To review evidence for genetic risk prediction for PCa. EVIDENCE ACQUISITION A collaborative literature review was conducted using PubMed and Google Scholar. Search terms included genetic, risk, prediction, and "prostate cancer". Articles addressing screening, early detection, or prevention were prioritized, as were studies involving diverse populations. EVIDENCE SYNTHESIS Rare pathogenic mutations (RPMs), especially in DNA damage repair genes, increase PCa risk. RPMs in BRCA2 are most clearly deleterious, conferring 2-8.6 times higher risk of PCa and a higher risk of aggressive disease. Common genetic variants can be combined into genetic risk scores (GRSs). A high GRS (top 20-25% of the population) confers two to three times higher risk of PCa than average; a very high GRS (top 1-5%) confers six to eight times higher risk. GRSs are not specific for aggressive PCa, possibly due to methodological limitations and/or a field effect of an elevated risk for both low- and high-grade PCa. It is challenging to disentangle genetics from structural racism and social determinants of health to understand PCa racial disparities. GRSs are independently associated with a lethal PCa risk after accounting for family history and race/ancestry. Healthy lifestyle might partially mitigate the risk of lethal PCa. CONCLUSIONS Genetic risk assessment is becoming more common; implementation studies are needed to understand the implications and to avoid exacerbating healthcare disparities. Men with a high genetic risk of PCa can reasonably be encouraged to adhere to a healthy lifestyle. PATIENT SUMMARY Prostate cancer risk is inherited through rare mutations and through the combination of hundreds of common genetic markers. Some men with a high genetic risk (especially BRCA2 mutations) likely benefit from early screening for prostate cancer. The risk of lethal prostate cancer can be reduced through a healthy lifestyle.
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Pagadala MS, Lynch J, Karunamuni R, Alba PR, Lee KM, Agiri FY, Anglin T, Carter H, Gaziano JM, Jasuja GK, Deka R, Rose BS, Panizzon MS, Hauger RL, Seibert TM. Polygenic risk of any, metastatic, and fatal prostate cancer in the Million Veteran Program. J Natl Cancer Inst 2023; 115:190-199. [PMID: 36305680 PMCID: PMC9905969 DOI: 10.1093/jnci/djac199] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/13/2022] [Accepted: 10/26/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Genetic scores may provide an objective measure of prostate cancer risk and thus inform screening decisions. We evaluated whether a polygenic hazard score based on 290 genetic variants (PHS290) is associated with prostate cancer risk in a diverse population, including Black men, who have higher average risk of prostate cancer death but are often treated as a homogeneously high-risk group. METHODS This was a retrospective analysis of the Million Veteran Program, a national, population-based cohort study of US military veterans conducted 2011-2021. Cox proportional hazards analyses tested for association of genetic and other risk factors (including self-reported race and ethnicity and family history) with age at death from prostate cancer, age at diagnosis of metastatic (nodal or distant) prostate cancer, and age at diagnosis of any prostate cancer. RESULTS A total of 590 750 male participants were included. Median age at last follow-up was 69 years. PHS290 was associated with fatal prostate cancer in the full cohort and for each racial and ethnic group (P < .001). Comparing men in the highest 20% of PHS290 with those in the lowest 20% (based on percentiles from an independent training cohort), the hazard ratio for fatal prostate cancer was 4.42 (95% confidence interval = 3.91 to 5.02). When accounting for guideline-recommended risk factors (family history, race, and ethnicity), PHS290 remained a strong independent predictor of any, metastatic, and fatal prostate cancer. CONCLUSIONS PHS290 stratified US veterans of diverse ancestry for lifetime risk of prostate cancer, including metastatic and fatal cancer. Predicting genetic risk of lethal prostate cancer with PHS290 might inform individualized decisions about prostate cancer screening.
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Affiliation(s)
- Meghana S Pagadala
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
- Medical Scientist Training Program, University of California San Diego, La Jolla, CA, USA
- Biomedical Science Program, University of California San Diego, La Jolla, CA, USA
| | - Julie Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Healthcare System (VINCI), Salt Lake City, UT, USA
- Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Roshan Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Patrick R Alba
- VA Informatics and Computing Infrastructure, VA Salt Lake City Healthcare System (VINCI), Salt Lake City, UT, USA
- Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Kyung Min Lee
- VA Informatics and Computing Infrastructure, VA Salt Lake City Healthcare System (VINCI), Salt Lake City, UT, USA
- Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Fatai Y Agiri
- VA Informatics and Computing Infrastructure, VA Salt Lake City Healthcare System (VINCI), Salt Lake City, UT, USA
| | - Tori Anglin
- VA Informatics and Computing Infrastructure, VA Salt Lake City Healthcare System (VINCI), Salt Lake City, UT, USA
- Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Hannah Carter
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Guneet Kaur Jasuja
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, USA
- Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Urology, University of California San Diego, La Jolla, CA, USA
| | - Rishi Deka
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Brent S Rose
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
- Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Urology, University of California San Diego, La Jolla, CA, USA
| | - Matthew S Panizzon
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
- Center for Behavioral Genetics of Aging, University of California San Diego, La Jolla, CA, USA
| | - Richard L Hauger
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
- Center for Behavioral Genetics of Aging, University of California San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, CA, USA
| | - Tyler M Seibert
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
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9
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Andreassen OA, Hindley GFL, Frei O, Smeland OB. New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications. World Psychiatry 2023; 22:4-24. [PMID: 36640404 PMCID: PMC9840515 DOI: 10.1002/wps.21034] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/07/2022] [Indexed: 01/15/2023] Open
Abstract
Psychiatric genetics has made substantial progress in the last decade, providing new insights into the genetic etiology of psychiatric disorders, and paving the way for precision psychiatry, in which individual genetic profiles may be used to personalize risk assessment and inform clinical decision-making. Long recognized to be heritable, recent evidence shows that psychiatric disorders are influenced by thousands of genetic variants acting together. Most of these variants are commonly occurring, meaning that every individual has a genetic risk to each psychiatric disorder, from low to high. A series of large-scale genetic studies have discovered an increasing number of common and rare genetic variants robustly associated with major psychiatric disorders. The most convincing biological interpretation of the genetic findings implicates altered synaptic function in autism spectrum disorder and schizophrenia. However, the mechanistic understanding is still incomplete. In line with their extensive clinical and epidemiological overlap, psychiatric disorders appear to exist on genetic continua and share a large degree of genetic risk with one another. This provides further support to the notion that current psychiatric diagnoses do not represent distinct pathogenic entities, which may inform ongoing attempts to reconceptualize psychiatric nosology. Psychiatric disorders also share genetic influences with a range of behavioral and somatic traits and diseases, including brain structures, cognitive function, immunological phenotypes and cardiovascular disease, suggesting shared genetic etiology of potential clinical importance. Current polygenic risk score tools, which predict individual genetic susceptibility to illness, do not yet provide clinically actionable information. However, their precision is likely to improve in the coming years, and they may eventually become part of clinical practice, stressing the need to educate clinicians and patients about their potential use and misuse. This review discusses key recent insights from psychiatric genetics and their possible clinical applications, and suggests future directions.
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Affiliation(s)
- Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Guy F L Hindley
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Oleksandr Frei
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Olav B Smeland
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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10
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Song SH, Kim E, Jung YJ, Kim HM, Park MS, Kim JK, Lee H, Oh JJ, Lee S, Hong SK, Byun SS. Polygenic risk score for tumor aggressiveness and early-onset prostate cancer in Asians. Sci Rep 2023; 13:798. [PMID: 36646726 DOI: 10.1038/s41598-022-17515-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/26/2022] [Indexed: 01/18/2023] Open
Abstract
We attempted to assess the performance of an ethnic-specific polygenic risk score (PRS) designed from a Korean population to predict aggressive prostate cancer (PCa) and early-onset (age < 60). A PRS score comprised of 22 SNPs was computed in 3695 patients gathered from one of 4 tertiary centers in Korea. Males with biopsy or radical prostatectomy-proven PCa were included for analysis, collecting additional clinical parameters such as age, BMI, PSA, Gleason Group (GG), and staging. Patients were divided into 4 groups of PRS quartiles. Intergroup differences were assessed, as well as risk ratio and predictive performance based on GG using logistic regression analysis and AUC. No significant intergroup differences were observed for BMI, PSA, and rate of ≥ T3a tumors on pathology. Rate of GG ≥ 2, GG ≥ 3, and GG ≥ 4 showed a significant pattern of increase by PRS quartile (p < 0.001, < 0.001, and 0.039, respectively). With the lowest PRS quartile as reference, higher PRS groups showed sequentially escalating risk for GG ≥ 2 and GG ≥ 3 pathology, with a 4.6-fold rise in GG ≥ 2 (p < 0.001) and 2.0-fold rise in GG ≥ 3 (p < 0.001) for the highest PRS quartiles. Combining PRS with PSA improved prediction of early onset csPCa (AUC 0.759) compared to PRS (AUC 0.627) and PSA alone (AUC 0.736). To conclude, an ethnic-specific PRS was found to predict susceptibility of aggressive PCa in addition to improving detection of csPCa when combined with PSA in early onset populations. PRS may have a role as a risk-stratification model in actual practice. Large scale, multi-ethnic trials are required to validate our results.
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11
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Pagadala MS, Linscott JA, Talwar JV, Seibert TM, Rose B, Lynch J, Panizzon M, Hauger R, Hansen MH, Sammon JD, Hayn MH, Kader K, Carter H, Ryan ST. PRState: Incorporating genetic ancestry in prostate cancer risk scores for men of African ancestry. BMC Cancer 2022; 22:1289. [PMID: 36494783 PMCID: PMC9733391 DOI: 10.1186/s12885-022-10258-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 10/30/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Prostate cancer (PrCa) is one of the most genetically driven solid cancers with heritability estimates as high as 57%. Men of African ancestry are at an increased risk of PrCa; however, current polygenic risk score (PRS) models are based on European ancestry groups and may not be broadly applicable. The objective of this study was to construct an African ancestry-specific PrCa PRS (PRState) and evaluate its performance. METHODS African ancestry group of 4,533 individuals in ELLIPSE consortium was used for discovery of African ancestry-specific PrCa SNPs. PRState was constructed as weighted sum of genotypes and effect sizes from genome-wide association study (GWAS) of PrCa in African ancestry group. Performance was evaluated using ROC-AUC analysis. RESULTS We identified African ancestry-specific PrCa risk loci on chromosomes 3, 8, and 11 and constructed a polygenic risk score (PRS) from 10 African ancestry-specific PrCa risk SNPs, achieving an AUC of 0.61 [0.60-0.63] and 0.65 [0.64-0.67], when combined with age and family history. Performance dropped significantly when using ancestry-mismatched PRS models but remained comparable when using trans-ancestry models. Importantly, we validated the PRState score in the Million Veteran Program (MVP), demonstrating improved prediction of PrCa and metastatic PrCa in individuals of African ancestry. CONCLUSIONS African ancestry-specific PRState improves PrCa prediction in African ancestry groups in ELLIPSE consortium and MVP. This study underscores the need for inclusion of individuals of African ancestry in gene variant discovery to optimize PRSs and identifies African ancestry-specific variants for use in future studies.
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Affiliation(s)
- Meghana S Pagadala
- Department of Medicine, Division of Medical Genetics, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA.
- Medical Scientist Training Program, University of California San Diego, La Jolla, CA, USA.
- Biomedical Science Program, University of California, San Diego, La Jolla, CA, USA.
| | | | - James V Talwar
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA
| | - Tyler M Seibert
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System, La Jolla, CA, USA
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Brent Rose
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System, La Jolla, CA, USA
- Department of Urology, University of California San Diego, La Jolla, CA, USA
| | - Julie Lynch
- VA Salt Lake City Healthcare System, Salt Lake City, UT, USA
- School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Matthew Panizzon
- VA San Diego Healthcare System, La Jolla, CA, USA
- Center for Behavioral Genetics of Aging, University of California San Diego, La Jolla, CA, USA
| | - Richard Hauger
- VA San Diego Healthcare System, La Jolla, CA, USA
- Center for Behavioral Genetics of Aging, University of California San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health (CESAMH), San Diego Healthcare System, San Diego, CA, USA
| | - Moritz H Hansen
- Division of Urology, Maine Medical Center, Portland, ME, USA
| | - Jesse D Sammon
- Division of Urology, Maine Medical Center, Portland, ME, USA
| | - Matthew H Hayn
- Division of Urology, Maine Medical Center, Portland, ME, USA
| | - Karim Kader
- Department of Urology, University of California San Diego, La Jolla, CA, USA
| | - Hannah Carter
- Department of Medicine, Division of Medical Genetics, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA
| | - Stephen T Ryan
- Division of Urology, Maine Medical Center, Portland, ME, USA
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12
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Miyahira AK, Soule HR. The 28th Annual Prostate Cancer Foundation Scientific Retreat report. Prostate 2022; 82:1346-1377. [PMID: 35852016 DOI: 10.1002/pros.24409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 06/24/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND The 28th Annual Prostate Cancer Foundation (PCF) Scientific Retreat was held virtually over 4 days, on October 28-29 and November 4-5, 2021. METHODS The Annual PCF Scientific Retreat is a leading global scientific conference that focuses on first-in-field, unpublished, and high-impact basic, translational, and clinical prostate cancer research, as well as research from other fields with high probability for impacting prostate cancer research and patient care. RESULTS Primary areas of research discussed at the 2021 PCF Retreat included: (i) prostate cancer disparities; (ii) prostate cancer survivorship; (iii) next-generation precision medicine; (iv) PSMA theranostics; (v) prostate cancer lineage plasticity; (vi) tumor metabolism as a cancer driver and treatment target; (vii) prostate cancer genetics and polygenic risk scores; (viii) glucocorticoid receptor biology in castration-resistant prostate cancer (CRPC); (ix) therapeutic degraders; (x) new approaches for immunotherapy in prostate cancer; (xi) novel technologies to overcome the suppressive tumor microenvironment; and (xii) real-world evidence and synthetic/virtual control arms. CONCLUSIONS This article provides a summary of the presentations from the 2021 PCF Scientific Retreat. We hope that sharing this knowledge will help to improve the understanding of the current state of research and direct new advances in prostate cancer research and care.
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Affiliation(s)
- Andrea K Miyahira
- Science Department, Prostate Cancer Foundation, Santa Monica, California, USA
| | - Howard R Soule
- Science Department, Prostate Cancer Foundation, Santa Monica, California, USA
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13
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Fusar-Poli P, Manchia M, Koutsouleris N, Leslie D, Woopen C, Calkins ME, Dunn M, Tourneau CL, Mannikko M, Mollema T, Oliver D, Rietschel M, Reininghaus EZ, Squassina A, Valmaggia L, Kessing LV, Vieta E, Correll CU, Arango C, Andreassen OA. Ethical considerations for precision psychiatry: A roadmap for research and clinical practice. Eur Neuropsychopharmacol 2022; 63:17-34. [PMID: 36041245 DOI: 10.1016/j.euroneuro.2022.08.001] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 07/04/2022] [Accepted: 08/05/2022] [Indexed: 12/14/2022]
Abstract
Precision psychiatry is an emerging field with transformative opportunities for mental health. However, the use of clinical prediction models carries unprecedented ethical challenges, which must be addressed before accessing the potential benefits of precision psychiatry. This critical review covers multidisciplinary areas, including psychiatry, ethics, statistics and machine-learning, healthcare and academia, as well as input from people with lived experience of mental disorders, their family, and carers. We aimed to identify core ethical considerations for precision psychiatry and mitigate concerns by designing a roadmap for research and clinical practice. We identified priorities: learning from somatic medicine; identifying precision psychiatry use cases; enhancing transparency and generalizability; fostering implementation; promoting mental health literacy; communicating risk estimates; data protection and privacy; and fostering the equitable distribution of mental health care. We hope this blueprint will advance research and practice and enable people with mental health problems to benefit from precision psychiatry.
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Affiliation(s)
- Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy; Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | | | | | - Monica E Calkins
- Neurodevelopment and Psychosis Section and Lifespan Brain Institute of Penn/CHOP, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA
| | - Michael Dunn
- Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore
| | - Christophe Le Tourneau
- Institut Curie, Department of Drug Development and Innovation (D3i), INSERM U900 Research unit, Paris-Saclay University, France
| | - Miia Mannikko
- European Federation of Associations of Families of People with Mental Illness (EUFAMI), Leuven, Belgium
| | - Tineke Mollema
- Global Alliance of Mental Illness Advocacy Networks-Europe (GAMIAN), Brussels, Belgium
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Eva Z Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | - Alessio Squassina
- Section of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Italy
| | - Lucia Valmaggia
- South London and Maudsley NHS Foundation Trust, London, UK; Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Psychiatry, KU Leuven, Belgium
| | - Lars Vedel Kessing
- Copenhagen Affective disorder Research Center (CADIC), Psychiatric Center Copenhagen, Denmark; Department of clinical Medicine, University of Copenhagen, Denmark
| | - Eduard Vieta
- Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Christoph U Correll
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA; Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; Center for Psychiatric Neuroscience; The Feinstein Institutes for Medical Research, Manhasset, NY, USA; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Gregorio Marañón; Health Research Institute (IiGSM), School of Medicine, Universidad Complutense de Madrid; Biomedical Research Center for Mental Health (CIBERSAM), Madrid, Spain
| | - Ole A Andreassen
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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14
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Kim MS, Naidoo D, Hazra U, Quiver MH, Chen WC, Simonti CN, Kachambwa P, Harlemon M, Agalliu I, Baichoo S, Fernandez P, Hsing AW, Jalloh M, Gueye SM, Niang L, Diop H, Ndoye M, Snyper NY, Adusei B, Mensah JE, Abrahams AOD, Biritwum R, Adjei AA, Adebiyi AO, Shittu O, Ogunbiyi O, Adebayo S, Aisuodionoe-Shadrach OI, Nwegbu MM, Ajibola HO, Oluwole OP, Jamda MA, Singh E, Pentz A, Joffe M, Darst BF, Conti DV, Haiman CA, Spies PV, van der Merwe A, Rohan TE, Jacobson J, Neugut AI, McBride J, Andrews C, Petersen LN, Rebbeck TR, Lachance J. Testing the generalizability of ancestry-specific polygenic risk scores to predict prostate cancer in sub-Saharan Africa. Genome Biol 2022; 23:194. [PMID: 36100952 PMCID: PMC9472407 DOI: 10.1186/s13059-022-02766-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 09/05/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Genome-wide association studies do not always replicate well across populations, limiting the generalizability of polygenic risk scores (PRS). Despite higher incidence and mortality rates of prostate cancer in men of African descent, much of what is known about cancer genetics comes from populations of European descent. To understand how well genetic predictions perform in different populations, we evaluated test characteristics of PRS from three previous studies using data from the UK Biobank and a novel dataset of 1298 prostate cancer cases and 1333 controls from Ghana, Nigeria, Senegal, and South Africa. RESULTS Allele frequency differences cause predicted risks of prostate cancer to vary across populations. However, natural selection is not the primary driver of these differences. Comparing continental datasets, we find that polygenic predictions of case vs. control status are more effective for European individuals (AUC 0.608-0.707, OR 2.37-5.71) than for African individuals (AUC 0.502-0.585, OR 0.95-2.01). Furthermore, PRS that leverage information from African Americans yield modest AUC and odds ratio improvements for sub-Saharan African individuals. These improvements were larger for West Africans than for South Africans. Finally, we find that existing PRS are largely unable to predict whether African individuals develop aggressive forms of prostate cancer, as specified by higher tumor stages or Gleason scores. CONCLUSIONS Genetic predictions of prostate cancer perform poorly if the study sample does not match the ancestry of the original GWAS. PRS built from European GWAS may be inadequate for application in non-European populations and perpetuate existing health disparities.
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Affiliation(s)
- Michelle S Kim
- School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Dr, Atlanta, GA, 30332, USA
| | - Daphne Naidoo
- Centre for Proteomic and Genomic Research, Cape Town, South Africa
| | - Ujani Hazra
- School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Dr, Atlanta, GA, 30332, USA
| | - Melanie H Quiver
- School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Dr, Atlanta, GA, 30332, USA
| | - Wenlong C Chen
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,National Cancer Registry, National Health Laboratory Service, Johannesburg, South Africa
| | - Corinne N Simonti
- School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Dr, Atlanta, GA, 30332, USA
| | | | - Maxine Harlemon
- School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Dr, Atlanta, GA, 30332, USA
| | - Ilir Agalliu
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Pedro Fernandez
- Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Ann W Hsing
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | | | | | - Lamine Niang
- Universite Cheikh Anta Diop de Dakar, Dakar, Senegal
| | | | - Medina Ndoye
- Universite Cheikh Anta Diop de Dakar, Dakar, Senegal
| | | | | | - James E Mensah
- Korle-Bu Teaching Hospital and University of Ghana Medical School, Accra, Ghana
| | - Afua O D Abrahams
- Korle-Bu Teaching Hospital and University of Ghana Medical School, Accra, Ghana
| | - Richard Biritwum
- Korle-Bu Teaching Hospital and University of Ghana Medical School, Accra, Ghana
| | - Andrew A Adjei
- Department of Pathology, University of Ghana Medical School, Accra, Ghana
| | | | | | | | - Sikiru Adebayo
- College of Medicine, University of Ibadan, Ibadan, Nigeria
| | | | - Maxwell M Nwegbu
- College of Health Sciences, University of Abuja and University of Abuja Teaching Hospital, Abuja, Nigeria
| | - Hafees O Ajibola
- College of Health Sciences, University of Abuja and University of Abuja Teaching Hospital, Abuja, Nigeria
| | - Olabode P Oluwole
- College of Health Sciences, University of Abuja and University of Abuja Teaching Hospital, Abuja, Nigeria
| | - Mustapha A Jamda
- College of Health Sciences, University of Abuja and University of Abuja Teaching Hospital, Abuja, Nigeria
| | - Elvira Singh
- National Cancer Registry, National Health Laboratory Service, Johannesburg, South Africa
| | - Audrey Pentz
- Non-Communicable Diseases Research Division, Wits Health Consortium (PTY) Ltd, Johannesburg, South Africa
| | - Maureen Joffe
- Non-Communicable Diseases Research Division, Wits Health Consortium (PTY) Ltd, Johannesburg, South Africa.,MRC Developmental Pathways to Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Burcu F Darst
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David V Conti
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Christopher A Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Petrus V Spies
- Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - André van der Merwe
- Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Judith Jacobson
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Alfred I Neugut
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Jo McBride
- Centre for Proteomic and Genomic Research, Cape Town, South Africa
| | | | | | - Timothy R Rebbeck
- Dana-Farber Cancer Institute, Boston, MA, USA.,Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joseph Lachance
- School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Dr, Atlanta, GA, 30332, USA.
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15
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Xu J, Resurreccion WK, Shi Z, Wei J, Wang CH, Zheng SL, Hulick PJ, Ross AE, Pavlovich CP, Helfand BT, Isaacs WB. Inherited risk assessment and its clinical utility for predicting prostate cancer from diagnostic prostate biopsies. Prostate Cancer Prostatic Dis 2022; 25:422-30. [PMID: 35347252 DOI: 10.1038/s41391-021-00458-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/25/2021] [Accepted: 09/10/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Many studies on prostate cancer (PCa) germline variants have been published in the last 15 years. This review critically assesses their clinical validity and explores their utility in prediction of PCa detection rates from prostate biopsy. METHODS An integrative review was performed to (1) critically synthesize findings on PCa germline studies from published papers since 2016, including risk-associated single nucleotide polymorphisms (SNPs), polygenic risk score methods such as genetic risk score (GRS), and rare pathogenic mutations (RPMs); (2) exemplify the findings in a large population-based cohort from the UK Biobank (UKB); (3) identify gaps for implementing inherited risk assessment in clinic based on experience from a healthcare system; (4) evaluate available GRS data on their clinical utility in predicting PCa detection rates from prostate biopsies; and (5) describe a prospective germline-based biopsy trial to address existing gaps. RESULTS SNP-based GRS and RPMs in four genes (HOXB13, BRCA2, ATM, and CHEK2) were significantly and consistently associated with PCa risk in large well-designed studies. In the UKB, positive family history, RPMs in the four implicated genes, and a high GRS (>1.5) identified 8.12%, 1.61%, and 17.38% of men to be at elevated PCa risk, respectively, with hazard ratios of 1.84, 2.74, and 2.39, respectively. Additionally, the performance of GRS for predicting PCa detection rate on prostate biopsy was consistently supported in several retrospective analyses of transrectal ultrasound (TRUS)-biopsy cohorts. Prospective studies evaluating the performance of all three inherited measures in predicting PCa detection rate from contemporary multiparametric MRI (mpMRI)-based biopsy are lacking. A multicenter germline-based biopsy trial to address these gaps is warranted. CONCLUSIONS The complementary performance of three inherited risk measures in PCa risk stratification is consistently supported. Their clinical utility in predicting PCa detection rate, if confirmed in prospective clinical trials, may improve current decision-making for prostate biopsy.
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16
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Arenas-Gallo C, Owiredu J, Weinstein I, Lewicki P, Basourakos SP, Vince R, Al Hussein Al Awamlh B, Schumacher FR, Spratt DE, Barbieri CE, Shoag JE. Race and prostate cancer: genomic landscape. Nat Rev Urol 2022; 19:547-561. [PMID: 35945369 DOI: 10.1038/s41585-022-00622-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/23/2022] [Indexed: 11/09/2022]
Abstract
In the past 20 years, new insights into the genomic pathogenesis of prostate cancer have been provided. Large-scale integrative genomics approaches enabled researchers to characterize the genetic and epigenetic landscape of prostate cancer and to define different molecular subclasses based on the combination of genetic alterations, gene expression patterns and methylation profiles. Several molecular drivers of prostate cancer have been identified, some of which are different in men of different races. However, the extent to which genomics can explain racial disparities in prostate cancer outcomes is unclear. Future collaborative genomic studies overcoming the underrepresentation of non-white patients and other minority populations are essential.
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Affiliation(s)
- Camilo Arenas-Gallo
- Department of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Jude Owiredu
- Department of Urology, NewYork-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA
| | - Ilon Weinstein
- Department of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Patrick Lewicki
- Department of Urology, NewYork-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA
| | - Spyridon P Basourakos
- Department of Urology, NewYork-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA
| | - Randy Vince
- Department of Urology, University of Michigan, Ann Arbor, MI, USA
| | - Bashir Al Hussein Al Awamlh
- Department of Urology, NewYork-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.,Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Fredrick R Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA.,Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Daniel E Spratt
- Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Christopher E Barbieri
- Department of Urology, NewYork-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan E Shoag
- Department of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA. .,Department of Urology, NewYork-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA. .,Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
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Kearns JT, Helfand BT, Xu J. Moving Prostate Cancer Polygenic Risk Scores from Research Towards Clinical Practice. Eur Urol Focus 2022; 8:913-915. [DOI: 10.1016/j.euf.2022.08.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/06/2022] [Accepted: 08/18/2022] [Indexed: 11/04/2022]
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Vickers AJ, Sud A, Bernstein J, Houlston R. Polygenic risk scores to stratify cancer screening should predict mortality not incidence. NPJ Precis Oncol 2022; 6:32. [PMID: 35637246 PMCID: PMC9151796 DOI: 10.1038/s41698-022-00280-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 04/15/2022] [Indexed: 11/16/2022] Open
Abstract
Population-based cancer screening programs such as mammography or colonscopy generally directed at all healthy individuals in a given age stratum. It has recently been proposed that cancer screening could be restricted to a high-risk subgroup based on polygenic risk scores (PRSs) using panels of single-nucleotide polymorphisms (SNPs). These PRSs were, however, generated to predict cancer incidence rather than cancer mortality and will not necessarily address overdiagnosis, a major problem associated with cancer screening programs. We develop a simple net-benefit framework for evaluating screening approaches that incorporates overdiagnosis. We use this methodology to demonstrate that if a PRS does not differentially discriminate between incident and lethal cancer, restricting screening to a subgroup with high scores will only improve screening outcomes in a small number of scenarios. In contrast, restricting screening to a subgroup defined as high-risk based on a marker that is more strongly predictive of mortality than incidence will often afford greater net benefit than screening all eligible individuals. If PRS-based cancer screening is to be effective, research needs to focus on identifying PRSs associated with cancer mortality, an unchartered and clinically-relevant area of research, with a much higher potential to improve screening outcomes.
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Affiliation(s)
- Andrew J Vickers
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Jonine Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
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Vickers AJ, Elfiky A, Freeman VL, Roach M. Race, Biology, Disparities, and Prostate Cancer. Eur Urol 2022; 81:463-465. [PMID: 35216858 DOI: 10.1016/j.eururo.2022.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 02/08/2022] [Indexed: 11/17/2022]
Affiliation(s)
- Andrew J Vickers
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | | | - Vincent L Freeman
- Division of Epidemiology and Biostatistics, University of Illinois Chicago School of Public Health, Chicago, IL, USA
| | - Mack Roach
- Department of Radiation Oncology and Helen Diller Family Comprehensive Cancer Center, University of California-San Francisco, San Francisco, CA, USA
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20
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Huynh-Le MP, Karunamuni R, Fan CC, Asona L, Thompson WK, Martinez ME, Eeles RA, Kote-Jarai Z, Muir KR, Lophatananon A, Schleutker J, Pashayan N, Batra J, Grönberg H, Neal DE, Nordestgaard BG, Tangen CM, MacInnis RJ, Wolk A, Albanes D, Haiman CA, Travis RC, Blot WJ, Stanford JL, Mucci LA, West CML, Nielsen SF, Kibel AS, Cussenot O, Berndt SI, Koutros S, Sørensen KD, Cybulski C, Grindedal EM, Menegaux F, Park JY, Ingles SA, Maier C, Hamilton RJ, Rosenstein BS, Lu YJ, Watya S, Vega A, Kogevinas M, Wiklund F, Penney KL, Huff CD, Teixeira MR, Multigner L, Leach RJ, Brenner H, John EM, Kaneva R, Logothetis CJ, Neuhausen SL, De Ruyck K, Ost P, Razack A, Newcomb LF, Fowke JH, Gamulin M, Abraham A, Claessens F, Castelao JE, Townsend PA, Crawford DC, Petrovics G, van Schaik RHN, Parent MÉ, Hu JJ, Zheng W, Mills IG, Andreassen OA, Dale AM, Seibert TM. Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score. Prostate Cancer Prostatic Dis 2022; 25:755-761. [PMID: 35152271 PMCID: PMC9372232 DOI: 10.1038/s41391-022-00497-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 01/12/2022] [Indexed: 01/14/2023]
Abstract
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.
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Affiliation(s)
- Minh-Phuong Huynh-Le
- Radiation Oncology, George Washington University, Washington, DC, USA
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, USA
| | - Roshan Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, USA
| | - Chun Chieh Fan
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, USA
| | - Lui Asona
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Wesley K Thompson
- Division of Biostatistics and Halicioğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Maria Elena Martinez
- University of California San Diego, Moores Cancer Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, 92093-0012, USA
| | - Rosalind A Eeles
- The Institute of Cancer Research, London, SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK
| | | | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Johanna Schleutker
- Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Medical Genetics, Genomics, Laboratory Division, Turku University Hospital, PO Box 52, 20521, Turku, Finland
| | - Nora Pashayan
- Department of Applied Health Research, University College London, London, WC1E 7HB, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK
| | - Jyotsna Batra
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, 4059, Australia
- Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, SE-171 77, Stockholm, Sweden
| | - David E Neal
- Nuffield Department of Surgical Sciences, University of Oxford, Room 6603, Level 6, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK
- University of Cambridge, Department of Oncology, Box 279, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
| | - Børge G Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, 2200, Copenhagen, Denmark
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Grattan Street, Parkville, VIC, 3010, Australia
| | - Alicja Wolk
- Department of Surgical Sciences, Uppsala University, 75185, Uppsala, Sweden
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, 90015, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, 37232, USA
- International Epidemiology Institute, Rockville, MD, 20850, USA
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, 98195, USA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Catharine M L West
- Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Radiotherapy Related Research, The Christie Hospital NHS Foundation Trust, Manchester, M13 9PL, UK
| | - Sune F Nielsen
- Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, 2200, Copenhagen, Denmark
| | - Adam S Kibel
- Division of Urologic Surgery, Brigham and Womens Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Olivier Cussenot
- Sorbonne Universite, GRC n°5, AP-HP, Tenon Hospital, 4 rue de la Chine, F-45020, Paris, France
- CeRePP, Tenon Hospital, F-75020, Paris, France
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Karina Dalsgaard Sørensen
- Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensen Boulevard 99, 8200, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, DK, 8200, Aarhus N, Denmark
| | - Cezary Cybulski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, 70-115, Szczecin, Poland
| | - Eli Marie Grindedal
- Department of Medical Genetics, Oslo University Hospital, 0424, Oslo, Norway
| | - Florence Menegaux
- Exposome and Heredity, CESP (UMR 1018), Faculté de Médecine, Université Paris-Saclay, Inserm, Gustave Roussy, Villejuif, France
| | - Jong Y Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA
| | - Sue A Ingles
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, 90015, USA
| | - Christiane Maier
- Humangenetik Tuebingen, Paul-Ehrlich-Str 23, D-72076, Tuebingen, Germany
| | - Robert J Hamilton
- Dept. of Surgical Oncology, Princess Margaret Cancer Centre, Toronto, ON, M5G 2M9, Canada
- Dept. of Surgery (Urology), University of Toronto, Toronto, Canada
| | - Barry S Rosenstein
- Department of Radiation Oncology and Department of Genetics and Genomic Sciences, Box 1236, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Yong-Jie Lu
- Centre for Cancer Biomarker and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, Charterhouse Square, London, EC1M 6BQ, UK
| | | | - Ana Vega
- Fundación Pública Galega Medicina Xenómica, Santiago de Compostela, 15706, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago De Compostela, 15706, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Santiago De Compostela, Spain
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, SE-171 77, Stockholm, Sweden
| | - Kathryn L Penney
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, 02115, USA
| | - Chad D Huff
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Manuel R Teixeira
- Department of Genetics, Portuguese Oncology Institute of Porto (IPO-Porto), 4200-072, Porto, Portugal
- Biomedical Sciences Institute (ICBAS), University of Porto, 4050-313, Porto, Portugal
- Cancer Genetics Group, IPO-Porto Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO-Porto), 4200-072, Porto, Portugal
| | - Luc Multigner
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
| | - Robin J Leach
- Department of Cell Systems and Anatomy, Mays Cancer Center, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, 69120, Heidelberg, Germany
| | - Esther M John
- Departments of Epidemiology & Population Health and of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, 2 Zdrave Str., 1431, Sofia, Bulgaria
| | - Christopher J Logothetis
- The University of Texas M. D. Anderson Cancer Center, Department of Genitourinary Medical Oncology, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of the City of Hope, 1500 East Duarte Road, Duarte, CA, 91010, USA
| | - Kim De Ruyck
- Ghent University, Faculty of Medicine and Health Sciences, Basic Medical Sciences, Proeftuinstraat 86, B-9000, Gent, Belgium
| | - Piet Ost
- Ghent University Hospital, Department of Radiotherapy, De Pintelaan 185, B-9000, Gent, Belgium
| | - Azad Razack
- Department of Surgery, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Lisa F Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
- Department of Urology, University of Washington, 1959 NE Pacific Street, Box 356510, Seattle, WA, 98195, USA
| | - Jay H Fowke
- Division of Epidemiology, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, 38163, USA
| | - Marija Gamulin
- Department of Oncology, University Hospital Centre Zagreb, University of Zagreb, School of Medicine, 10 000, Zagreb, Croatia
| | - Aswin Abraham
- Department of Oncology, Cross Cancer Institute, University of Alberta, 11560 University Avenue, Edmonton, AB, T6G 1Z2, Canada
| | - Frank Claessens
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, BE-3000, Belgium
| | - Jose Esteban Castelao
- Genetic Oncology Unit, CHUVI Hospital, Complexo Hospitalario Universitario de Vigo, Instituto de Investigación Biomédica Galicia Sur (IISGS), 36204, Vigo (Pontevedra), Spain
| | - Paul A Townsend
- Division of Cancer Sciences, Manchester Cancer Research Centre, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Health Innovation Manchester, Univeristy of Manchester, Manchester, M13 9WL, UK
- The University of Surrey, Guildford, Surrey, GU2 7XH, UK
| | - Dana C Crawford
- Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, 2103 Cornell Road, Wolstein Research Building, Suite 2527, Cleveland, OH, 44106, USA
| | - Gyorgy Petrovics
- Uniformed Services University, 4301 Jones Bridge Rd, Bethesda, MD, 20814, USA
- Center for Prostate Disease Research, 6720A Rockledge Drive, Suite 300, Bethesda, MD, 20817, USA
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus University Medical Center, 3015 CE, Rotterdam, The Netherlands
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, 531 Boul. des Prairies, Laval, QC, H7V 1B7, Canada
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, QC, Canada
| | - Jennifer J Hu
- The University of Miami School of Medicine, Sylvester Comprehensive Cancer Center, 1120 NW 14th Street, CRB 1511, Miami, FL, 33136, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, 37232, USA
| | - Ian G Mills
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Ole A Andreassen
- NORMENT, KG Jebsen Centre, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, USA
- NORMENT, KG Jebsen Centre, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Tyler M Seibert
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, USA.
- NORMENT, KG Jebsen Centre, Oslo University Hospital and University of Oslo, Oslo, Norway.
- Department of Radiology, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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Papachristodoulou A, Abate-Shen C. Precision intervention for prostate cancer: Re-evaluating who is at risk. Cancer Lett 2022; 538:215709. [DOI: 10.1016/j.canlet.2022.215709] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 03/30/2022] [Accepted: 04/25/2022] [Indexed: 02/08/2023]
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Wang L, Desai H, Verma SS, Le A, Hausler R, Verma A, Judy R, Doucette A, Gabriel PE, Nathanson KL, Damrauer SM, Mowery DL, Ritchie MD, Kember RL, Maxwell KN. Performance of polygenic risk scores for cancer prediction in a racially diverse academic biobank. Genet Med 2022; 24:601-609. [PMID: 34906489 PMCID: PMC9680700 DOI: 10.1016/j.gim.2021.10.015] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 08/09/2021] [Accepted: 10/22/2021] [Indexed: 01/08/2023] Open
Abstract
PURPOSE Genome-wide association studies have identified hundreds of single nucleotide variations (formerly single nucleotide polymorphisms) associated with several cancers, but the predictive ability of polygenic risk scores (PRSs) is unclear, especially among non-Whites. METHODS PRSs were derived from genome-wide significant single-nucleotide variations for 15 cancers in 20,079 individuals in an academic biobank. We evaluated the improvement in discriminatory accuracy by including cancer-specific PRS in patients of genetically-determined African and European ancestry. RESULTS Among the individuals of European genetic ancestry, PRSs for breast, colon, melanoma, and prostate were significantly associated with their respective cancers. Among the individuals of African genetic ancestry, PRSs for breast, colon, prostate, and thyroid were significantly associated with their respective cancers. The area under the curve of the model consisting of age, sex, and principal components was 0.621 to 0.710, and it increased by 1% to 4% with the inclusion of PRS in individuals of European genetic ancestry. In individuals of African genetic ancestry, area under the curve was overall higher in the model without the PRS (0.723-0.810) but increased by <1% with the inclusion of PRS for most cancers. CONCLUSION PRS moderately increased the ability to discriminate the cancer status in individuals of European but not African ancestry. Further large-scale studies are needed to identify ancestry-specific genetic factors in non-White populations to incorporate PRS into cancer risk assessment.
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Affiliation(s)
- Louise Wang
- Division of Gastroenterology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Heena Desai
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Shefali S Verma
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Anh Le
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ryan Hausler
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Anurag Verma
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Renae Judy
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Abigail Doucette
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Peter E Gabriel
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA; Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Katherine L Nathanson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA; Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Scott M Damrauer
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, U.S. Department of Veterans Affairs, Philadelphia, PA
| | - Danielle L Mowery
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Marylyn D Ritchie
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Rachel L Kember
- Corporal Michael J. Crescenz VA Medical Center, U.S. Department of Veterans Affairs, Philadelphia, PA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kara N Maxwell
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, U.S. Department of Veterans Affairs, Philadelphia, PA.
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23
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Balagué-Dobón L, Cáceres A, González JR. Fully exploiting SNP arrays: a systematic review on the tools to extract underlying genomic structure. Brief Bioinform 2022; 23:6535682. [PMID: 35211719 PMCID: PMC8921734 DOI: 10.1093/bib/bbac043] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/25/2022] [Accepted: 01/28/2022] [Indexed: 12/12/2022] Open
Abstract
Single nucleotide polymorphisms (SNPs) are the most abundant type of genomic variation and the most accessible to genotype in large cohorts. However, they individually explain a small proportion of phenotypic differences between individuals. Ancestry, collective SNP effects, structural variants, somatic mutations or even differences in historic recombination can potentially explain a high percentage of genomic divergence. These genetic differences can be infrequent or laborious to characterize; however, many of them leave distinctive marks on the SNPs across the genome allowing their study in large population samples. Consequently, several methods have been developed over the last decade to detect and analyze different genomic structures using SNP arrays, to complement genome-wide association studies and determine the contribution of these structures to explain the phenotypic differences between individuals. We present an up-to-date collection of available bioinformatics tools that can be used to extract relevant genomic information from SNP array data including population structure and ancestry; polygenic risk scores; identity-by-descent fragments; linkage disequilibrium; heritability and structural variants such as inversions, copy number variants, genetic mosaicisms and recombination histories. From a systematic review of recently published applications of the methods, we describe the main characteristics of R packages, command-line tools and desktop applications, both free and commercial, to help make the most of a large amount of publicly available SNP data.
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Karunamuni RA, Huynh-Le MP, Fan CC, Thompson W, Lui A, Martinez ME, Rose BS, Mahal B, Eeles RA, Kote-Jarai Z, Muir K, Lophatananon A, Tangen CM, Goodman PJ, Thompson IM Jr, Blot WJ, Zheng W, Kibel AS, Drake BF, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Park JY, Lin HY, Taylor JA, Bensen JT, Mohler JL, Fontham ETH, Multigner L, Blanchet P, Brureau L, Romana M, Leach RJ, John EM, Fowke JH, Bush WS, Aldrich MC, Crawford DC, Cullen J, Petrovics G, Parent MÉ, Hu JJ, Sanderson M, Mills IG, Andreassen OA, Dale AM, Seibert TM; UKGPCS Collaborators, PRACTICAL Consortium. Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24. Prostate Cancer Prostatic Dis 2022; 25:229-37. [PMID: 34127801 DOI: 10.1038/s41391-021-00403-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 05/07/2021] [Accepted: 05/27/2021] [Indexed: 12/02/2022]
Abstract
BACKGROUND We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. MATERIALS AND METHODS Genotypic data were obtained from the PRACTICAL consortium for 6253 men with African genetic ancestry. Genetic variation in a window spanning 3 African-specific 8q24 SNPs was estimated using 93 PCs. A Cox proportional hazards framework was used to identify the pair of PCs most strongly associated with the performance of PHS46+African. A calibration factor (CF) was formulated using Cox coefficients to quantify the extent to which the performance of PHS46+African varies with PC. RESULTS CF of PHS46+African was strongly associated with the first and twentieth PCs. Predicted CF ranged from 0.41 to 2.94, suggesting that PHS46+African may be up to 7 times more beneficial to some African men than others. The explained relative risk for PHS46+African varied from 3.6% to 9.9% for individuals with low and high CF values, respectively. By cross-referencing our data set with 1000 Genomes, we identified significant associations between continental and calibration groupings. CONCLUSION We identified PCs within 8q24 that were strongly associated with the performance of PHS46+African. Further research to improve the clinical utility of polygenic risk scores (or models) is needed to improve health outcomes for men of African ancestry.
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Pihlstrøm L, Fan CC, Frei O, Blauwendraat C, Bandres-Ciga S, Dale AM, Seibert TM, Andreassen OA, Dale AM, Seibert TM, Andreassen OA. Genetic Stratification of Age-Dependent Parkinson's Disease Risk by Polygenic Hazard Score. Mov Disord 2022; 37:62-69. [PMID: 34612543 PMCID: PMC9843635 DOI: 10.1002/mds.28808] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 09/08/2021] [Accepted: 09/13/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Parkinson's disease (PD) is a highly age-related disorder, where common genetic risk variants affect both disease risk and age at onset. A statistical approach that integrates these effects across all common variants may be clinically useful for individual risk stratification. A polygenic hazard score methodology, leveraging a time-to-event framework, has recently been successfully applied in other age-related disorders. OBJECTIVES We aimed to develop and validate a polygenic hazard score model in sporadic PD. METHODS Using a Cox regression framework, we modeled the polygenic hazard score in a training data set of 11,693 PD patients and 9841 controls. The score was then validated in an independent test data set of 5112 PD patients and 5372 controls and a small single-study sample of 360 patients and 160 controls. RESULTS A polygenic hazard score predicts the onset of PD with a hazard ratio of 3.78 (95% confidence interval 3.49-4.10) when comparing the highest to the lowest risk decile. Combined with epidemiological data on incidence rate, we apply the score to estimate genetically stratified instantaneous PD risk across age groups. CONCLUSIONS We demonstrate the feasibility of a polygenic hazard approach in PD, integrating the genetic effects on disease risk and age at onset in a single model. In combination with other predictive biomarkers, the approach may hold promise for risk stratification in future clinical trials of disease-modifying therapies, which aim at postponing the onset of PD. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Lasse Pihlstrøm
- Department of Neurology, Oslo University Hospital, Oslo, Norway,Corresponding authors at: Department of Neurology, Oslo University Hospital, PO Box 4950 Nydalen, 0424 Oslo, Norway. , NORMENT Centre, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway.
| | - Chun Chieh Fan
- Department of Cognitive Science, University of California San Diego, La Jolla, CA, USA,Center for Multimodal Imaging and Genetics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Oleksandr Frei
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Center for Bioinformatics, Department of Informatics, University of Oslo
| | - Cornelis Blauwendraat
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MY, USA
| | - Sara Bandres-Ciga
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MY, USA
| | | | - Anders M. Dale
- Department of Cognitive Science, University of California San Diego, La Jolla, CA, USA,Department of Radiology, University of California San Diego, La Jolla, CA, USA,Department of Neurosciences, University of California, San Diego, La Jolla, California, United States of America
| | - Tyler M. Seibert
- Department of Radiology, University of California San Diego, La Jolla, CA, USA,Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, CA, USA,Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Ole A. Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Anders M Dale
- Department of Cognitive Science, University of California San Diego, La Jolla, California, USA.,Center for Multimodal Imaging and Genetics, School of Medicine, University of California San Diego, La Jolla, California, USA.,NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Radiology, University of California San Diego, La Jolla, California, USA.,Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Tyler M Seibert
- Center for Multimodal Imaging and Genetics, School of Medicine, University of California San Diego, La Jolla, California, USA.,NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.,Department of Radiology, University of California San Diego, La Jolla, California, USA.,Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Ole A Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Guo J, Liu X, Zeng Y, Liang T, Tang K, Guo J, Zheng W. Comprehensive Analysis of the Effects of Genetic Ancestry and Genetic Characteristics on the Clinical Evolution of Oral Squamous Cell Carcinoma. Front Cell Dev Biol 2021; 9:678464. [PMID: 34950653 PMCID: PMC8689072 DOI: 10.3389/fcell.2021.678464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
Oral squamous cell carcinoma (OSCC), a kind of malignant cancer, is associated with increasing morbidity and mortality. Patients with different genetic ancestries may respond differently to clinical treatment. The limited understanding of the influence of genetic ancestry and genetic characteristics on OSCC impedes the development of precision medicine. To provide a reference for clinical treatment, this study comprehensively analyzed multigenomic differences in OSCC patients with different genetic ancestries and their impact on prognosis. An analysis of data from OSCC patients with different genetic ancestries in The Cancer Genome Atlas (TCGA) showed that the overall survival (OS) of African (AFR) patients was lower than that of primarily European (EUR) patients, and differences were also observed in the tumor-stroma ratio (TSR) and tumor-infiltrating lymphocytes (TILs), which are associated with prognosis. FAT1 is a key mutant gene in OSCC, and it has inconsistent effects on clinical evolution for patients with diverse genetic characteristics. PIKfyve and CAPN9 showed a significant difference in mutation frequency between EUR and AFR; PIKfyve was related to Ki-67 expression, suggesting that it could promote tumor proliferation, and CAPN9 was related to the expression of Bcl-2, promoting tumor cell apoptosis. A variant methylation locus, cg20469139, was correlated with the levels of PD-L1 and Caspase-7 and modulated tumor cell apoptosis. A novel ceRNA model was constructed based on genetic ancestries, and it could accurately evaluate patient prognosis. More importantly, although T cell dysfunction scores could determine the potential of tumor immune escape, the efficacy was obviously affected by patients' genetic ancestries. To provide patients with more precise, personalized therapy and to further improve their quality of life and 5-year survival rate, the influence of genetic ancestry should be fully considered when selecting treatments.
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Affiliation(s)
- Junfeng Guo
- Sports Medicine Center, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Xiaoping Liu
- Department of Stomatology, The 970th Hospital of the Joint Logistics Support Force, Yantai, China
| | - Yi Zeng
- Department of Stomatology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Taotao Liang
- Sports Medicine Center, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Kanglai Tang
- Sports Medicine Center, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Junfeng Guo
- Department of Stomatology, The 970th Hospital of the Joint Logistics Support Force, Yantai, China
| | - Weiwei Zheng
- Department of Stomatology, The 970th Hospital of the Joint Logistics Support Force, Yantai, China
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Abstract
PURPOSE OF REVIEW Recent advances in our understanding of prostate cancer genetics have transformed the field. However, challenges in implementation and clinical application remain. The aim of this review is to discuss recent noteworthy publications in prostate cancer germline testing, genetically informed treatment, and polygenetic risk. RECENT FINDINGS The recent U.S. Food and Drug Administration approval of two poly adenosine diphosphate-ribose inhibitors (olaparib and rucaparib) for the treatment of men with metastatic castration-resistant prostate cancer with mutations in DNA damage repair genes and updates to the National Cancer Center Network testing guidelines that expand the eligibility criteria for germline and somatic genetic testing in men with prostate cancer provide an opportunity for a larger portion of the prostate cancer population to access genetic testing and targeted therapies. Due to this, clinicians have needed to rapidly adapt their clinical workflows. Further, the field has renewed efforts to evaluate polygenetic risk profiles to better understand the complex genetic landscape beyond single genes. SUMMARY This review highlights advances in the understanding of prostate cancer genetics, and areas that remain less well defined. Collaboration between multidisciplinary team members is necessary to move this field forward and provide quality, optimal care.
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Wang Y, Zhu M, Ma H, Shen H. Polygenic risk scores: the future of cancer risk prediction, screening, and precision prevention. Med Rev (Berl) 2021; 1:129-149. [PMID: 37724297 PMCID: PMC10471106 DOI: 10.1515/mr-2021-0025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 12/13/2021] [Indexed: 09/20/2023]
Abstract
Genome-wide association studies (GWASs) have shown that the genetic architecture of cancers are highly polygenic and enabled researchers to identify genetic risk loci for cancers. The genetic variants associated with a cancer can be combined into a polygenic risk score (PRS), which captures part of an individual's genetic susceptibility to cancer. Recently, PRSs have been widely used in cancer risk prediction and are shown to be capable of identifying groups of individuals who could benefit from the knowledge of their probabilistic susceptibility to cancer, which leads to an increased interest in understanding the potential utility of PRSs that might further refine the assessment and management of cancer risk. In this context, we provide an overview of the major discoveries from cancer GWASs. We then review the methodologies used for PRS construction, and describe steps for the development and evaluation of risk prediction models that include PRS and/or conventional risk factors. Potential utility of PRSs in cancer risk prediction, screening, and precision prevention are illustrated. Challenges and practical considerations relevant to the implementation of PRSs in health care settings are discussed.
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Affiliation(s)
- Yuzhuo Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
| | - Hongbing Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
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Huynh-Le MP, Karunamuni R, Fan CC, Thompson WK, Muir K, Lophatananon A, Tye K, Wolk A, Håkansson N, Mills IG, Andreassen OA, Dale AM, Seibert TM. Common genetic and clinical risk factors: association with fatal prostate cancer in the Cohort of Swedish Men. Prostate Cancer Prostatic Dis 2021; 24:845-851. [PMID: 33723363 PMCID: PMC8387332 DOI: 10.1038/s41391-021-00341-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 01/31/2021] [Accepted: 02/18/2021] [Indexed: 02/01/2023]
Abstract
BACKGROUND Clinical variables-age, family history, genetics-are used for prostate cancer risk stratification. Recently, polygenic hazard scores (PHS46, PHS166) were validated as associated with age at prostate cancer diagnosis. While polygenic scores are associated with all prostate cancer (not specific for fatal cancers), PHS46 was also associated with age at prostate cancer death. We evaluated if adding PHS to clinical variables improves associations with prostate cancer death. METHODS Genotype/phenotype data were obtained from a nested case-control Cohort of Swedish Men (n = 3279; 2163 with prostate cancer, 278 prostate cancer deaths). PHS and clinical variables (family history, alcohol intake, smoking, heart disease, hypertension, diabetes, body mass index) were tested via univariable Cox proportional hazards models for association with age at prostate cancer death. Multivariable Cox models with/without PHS were compared with log-likelihood tests. RESULTS Median age at last follow-up/prostate cancer death was 78.0 (IQR: 72.3-84.1) and 81.4 (75.4-86.3) years, respectively. On univariable analysis, PHS46 (HR 3.41 [95% CI 2.78-4.17]), family history (HR 1.72 [1.46-2.03]), alcohol (HR 1.74 [1.40-2.15]), diabetes (HR 0.53 [0.37-0.75]) were each associated with prostate cancer death. On multivariable analysis, PHS46 (HR 2.45 [1.99-2.97]), family history (HR 1.73 [1.48-2.03]), alcohol (HR 1.45 [1.19-1.76]), diabetes (HR 0.62 [0.42-0.90]) all remained associated with fatal disease. Including PHS46 or PHS166 improved multivariable models for fatal prostate cancer (p < 10-15). CONCLUSIONS PHS had the most robust association with fatal prostate cancer in a multivariable model with common risk factors, including family history. Adding PHS to clinical variables may improve prostate cancer risk stratification strategies.
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Affiliation(s)
- Minh-Phuong Huynh-Le
- Division of Radiation Oncology, George Washington University, Washington, DC, USA
| | - Roshan Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA,Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA
| | - Chun Chieh Fan
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA
| | - Wesley K. Thompson
- Division of Biostatistics and Halicioğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA,Department of Family Medicine and Public Health, University of California San Diego
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK,Warwick Medical School, University of Warwick, Coventry, UK
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Karen Tye
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Alicja Wolk
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden,Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Niclas Håkansson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Ian G. Mills
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Ole A. Andreassen
- NORMENT, KG Jebsen Centre, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Anders M. Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA,Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Tyler M. Seibert
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA,Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA,Department of Radiology, University of California San Diego, La Jolla, CA, USA,Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
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Freeland J, Crowell PD, Giafaglione JM, Boutros PC, Goldstein AS. Aging of the progenitor cells that initiate prostate cancer. Cancer Lett 2021; 515:28-35. [PMID: 34052326 PMCID: PMC8494000 DOI: 10.1016/j.canlet.2021.05.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 05/12/2021] [Accepted: 05/14/2021] [Indexed: 12/18/2022]
Abstract
Many organs experience a loss of tissue mass and a decline in regenerative capacity during aging. In contrast, the prostate continues to grow in volume. In fact, age is the most important risk factor for prostate cancer. However, the age-related factors that influence the composition, morphology and molecular features of prostate epithelial progenitor cells, the cells-of-origin for prostate cancer, are poorly understood. Here, we review the evidence that prostate luminal progenitor cells are expanded with age. We explore the age-related changes to the microenvironment that may influence prostate epithelial cells and risk of transformation. Finally, we raise a series of questions about models of aging and regulators of prostate aging which need to be addressed. A fundamental understanding of aging in the prostate will yield critical insights into mechanisms that promote the development of age-related prostatic disease.
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Affiliation(s)
- Jack Freeland
- Molecular Biology Interdepartmental Program, University of California, Los Angeles, USA
| | - Preston D Crowell
- Molecular Biology Interdepartmental Program, University of California, Los Angeles, USA
| | - Jenna M Giafaglione
- Molecular Biology Interdepartmental Program, University of California, Los Angeles, USA
| | - Paul C Boutros
- Departments of Human Genetics & Urology, Jonsson Comprehensive Cancer Center and Institute for Precision Health, University of California, Los Angeles, USA
| | - Andrew S Goldstein
- Departments of Molecular, Cell and Developmental Biology & Urology, Broad Stem Cell Research Center and Jonsson Comprehensive Cancer Center, University of California, Los Angeles, USA.
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Saunders EJ, Kote-Jarai Z, Eeles RA. Identification of Germline Genetic Variants that Increase Prostate Cancer Risk and Influence Development of Aggressive Disease. Cancers (Basel) 2021; 13:760. [PMID: 33673083 PMCID: PMC7917798 DOI: 10.3390/cancers13040760] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 12/15/2022] Open
Abstract
Prostate cancer (PrCa) is a heterogeneous disease, which presents in individual patients across a diverse phenotypic spectrum ranging from indolent to fatal forms. No robust biomarkers are currently available to enable routine screening for PrCa or to distinguish clinically significant forms, therefore late stage identification of advanced disease and overdiagnosis plus overtreatment of insignificant disease both remain areas of concern in healthcare provision. PrCa has a substantial heritable component, and technological advances since the completion of the Human Genome Project have facilitated improved identification of inherited genetic factors influencing susceptibility to development of the disease within families and populations. These genetic markers hold promise to enable improved understanding of the biological mechanisms underpinning PrCa development, facilitate genetically informed PrCa screening programmes and guide appropriate treatment provision. However, insight remains largely lacking regarding many aspects of their manifestation; especially in relation to genes associated with aggressive phenotypes, risk factors in non-European populations and appropriate approaches to enable accurate stratification of higher and lower risk individuals. This review discusses the methodology used in the elucidation of genetic loci, genes and individual causal variants responsible for modulating PrCa susceptibility; the current state of understanding of the allelic spectrum contributing to PrCa risk; and prospective future translational applications of these discoveries in the developing eras of genomics and personalised medicine.
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Affiliation(s)
- Edward J. Saunders
- The Institute of Cancer Research, London SM2 5NG, UK; (Z.K.-J.); (R.A.E.)
| | - Zsofia Kote-Jarai
- The Institute of Cancer Research, London SM2 5NG, UK; (Z.K.-J.); (R.A.E.)
| | - Rosalind A. Eeles
- The Institute of Cancer Research, London SM2 5NG, UK; (Z.K.-J.); (R.A.E.)
- Royal Marsden NHS Foundation Trust, London SW3 6JJ, UK
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Song SH, Byun SS. Polygenic risk score for genetic evaluation of prostate cancer risk in Asian populations: A narrative review. Investig Clin Urol 2021; 62:256-266. [PMID: 33943048 PMCID: PMC8100017 DOI: 10.4111/icu.20210124] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 04/15/2021] [Accepted: 04/15/2021] [Indexed: 12/16/2022] Open
Abstract
Decreasing costs of genetic testing and interest in disease inheritance has changed the landscape of cancer prediction in prostate cancer (PCa), and guidelines now include genetic testing for high-risk groups. Familial and hereditary PCa comprises approximately 20% and 5% of all PCa, respectively. Multifaceted disorders like PCa are caused by a combinatory effect of rare genes of high penetrance and smaller genetic variants of relatively lower effect size. Polygenic risk score (PRS) is a novel tool utilizing PCa-associated single nucleotide polymorphisms (SNPs) identified from genome-wide association study (GWAS) to generate an additive estimate of an individual's lifetime genetic risk for cancer. However, most PRS are developed based on GWAS collected from mainly European populations and do not address ethnic differences in PCa genetics. This review highlights the attempts to generate a PRS tailored to Asian males including data from Korea, China, and Japan, and discuss the clinical implications for prediction of early onset and aggressive PCa.
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Affiliation(s)
- Sang Hun Song
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Seok Soo Byun
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.,Department of Medical Device Development, Seoul National University College of Medicine, Seoul, Korea.
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Karunamuni RA, Huynh-Le MP, Fan CC, Thompson W, Eeles RA, Kote-Jarai Z, Muir K, Lophatananon A, Tangen CM, Goodman PJ, Thompson IM, Blot WJ, Zheng W, Kibel AS, Drake BF, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Park JY, Lin HY, Bensen JT, Fontham ETH, Mohler JL, Taylor JA, Multigner L, Blanchet P, Brureau L, Romana M, Leach RJ, John EM, Fowke J, Bush WS, Aldrich M, Crawford DC, Srivastava S, Cullen JC, Petrovics G, Parent MÉ, Hu JJ, Sanderson M, Mills IG, Andreassen OA, Dale AM, Seibert TM. African-specific improvement of a polygenic hazard score for age at diagnosis of prostate cancer. Int J Cancer 2020; 148:99-105. [PMID: 32930425 DOI: 10.1002/ijc.33282] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 08/07/2020] [Accepted: 08/12/2020] [Indexed: 12/23/2022]
Abstract
Polygenic hazard score (PHS) models are associated with age at diagnosis of prostate cancer. Our model developed in Europeans (PHS46) showed reduced performance in men with African genetic ancestry. We used a cross-validated search to identify single nucleotide polymorphisms (SNPs) that might improve performance in this population. Anonymized genotypic data were obtained from the PRACTICAL consortium for 6253 men with African genetic ancestry. Ten iterations of a 10-fold cross-validation search were conducted to select SNPs that would be included in the final PHS46+African model. The coefficients of PHS46+African were estimated in a Cox proportional hazards framework using age at diagnosis as the dependent variable and PHS46, and selected SNPs as predictors. The performance of PHS46 and PHS46+African was compared using the same cross-validated approach. Three SNPs (rs76229939, rs74421890 and rs5013678) were selected for inclusion in PHS46+African. All three SNPs are located on chromosome 8q24. PHS46+African showed substantial improvements in all performance metrics measured, including a 75% increase in the relative hazard of those in the upper 20% compared to the bottom 20% (2.47-4.34) and a 20% reduction in the relative hazard of those in the bottom 20% compared to the middle 40% (0.65-0.53). In conclusion, we identified three SNPs that substantially improved the association of PHS46 with age at diagnosis of prostate cancer in men with African genetic ancestry to levels comparable to Europeans.
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Affiliation(s)
- Roshan A Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | - Minh-Phuong Huynh-Le
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | | | - Wesley Thompson
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California, USA
| | - Rosalind A Eeles
- The Institute of Cancer Research, London, UK.,Royal Marsden NHS Foundation Trust, London, UK
| | | | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.,Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | | | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ian M Thompson
- CHRISTUS Santa Rosa Hospital-Medical Center, San Antonio, Texas, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,International Epidemiology Institute, Rockville, Maryland, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adam S Kibel
- Division of Urologic Surgery, Brigham and Womens Hospital, Boston, Massachusetts, USA
| | - Bettina F Drake
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Olivier Cussenot
- Sorbonne Universite, GRC n°5, AP-HP, Tenon Hospital, Paris, France.,CeRePP, Tenon Hospital, Paris, France
| | - Géraldine Cancel-Tassin
- Sorbonne Universite, GRC n°5, AP-HP, Tenon Hospital, Paris, France.,CeRePP, Tenon Hospital, Paris, France
| | | | - Thérèse Truong
- Université Paris-Saclay, UVSQ, Inserm, CESP, Villejuif, France
| | - Jong Y Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Hui-Yi Lin
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA
| | - Jeannette T Bensen
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Elizabeth T H Fontham
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA
| | - James L Mohler
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, North Carolina, USA.,Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, North Carolina, USA
| | - Luc Multigner
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, Rennes, France
| | - Pascal Blanchet
- CHU de Pointe-à-Pitre, Univ Antilles, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, Pointe-à-Pitre, France
| | - Laurent Brureau
- CHU de Pointe-à-Pitre, Univ Antilles, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, Pointe-à-Pitre, France
| | - Marc Romana
- UMR Inserm 1134 Biologie Intégrée du Globule Rouge, INSERM/Université Paris Diderot-Université Sorbonne Paris Cité/INTS/Université des Antilles, Paris, France
| | - Robin J Leach
- Department of Cell System and Anatomy and Mays Cancer Center, University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Esther M John
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Jay Fowke
- Department of Medicine and Urologic Surgery, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, Tennessee, USA.,Division of Epidemiology, Department of Preventive Medicine, The University of Tennessee Health Science Center, Tennessee, USA
| | - William S Bush
- Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Cleveland, Ohio, USA
| | - Melinda Aldrich
- Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Dana C Crawford
- Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Cleveland, Ohio, USA
| | - Shiv Srivastava
- Uniformed Services University, Bethesda, Maryland, USA.,Center for Prostate Disease Research, Bethesda, Maryland, USA
| | - Jennifer C Cullen
- Uniformed Services University, Bethesda, Maryland, USA.,Center for Prostate Disease Research, Bethesda, Maryland, USA
| | - Gyorgy Petrovics
- Uniformed Services University, Bethesda, Maryland, USA.,Center for Prostate Disease Research, Bethesda, Maryland, USA
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, Quebec, Canada.,Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, Quebec, Canada
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center, The University of Miami School of Medicine, Miami, Florida, USA
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, Nashville, Tennessee, USA
| | - Ian G Mills
- Center for Cancer Research and Cell Biology, Queen's University of Belfast, Belfast, UK
| | - Ole A Andreassen
- NORMENT, KG Jebsen Centre, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Anders M Dale
- Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Tyler M Seibert
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.,Department of Radiology, University of California San Diego, La Jolla, California, USA
| | -
- Institute of Cancer Research, Sutton, UK
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