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Srinivasan S, Kryza T, Bock N, Tse BWC, Sokolowski KA, Panchadsaram J, Moya L, Stephens C, Dong Y, Röhl J, Alinezhad S, Vela I, Perry-Keene JL, Buzacott K, Gago-Dominguez M, Schleutker J, Maier C, Muir K, Tangen CM, Gronberg H, Pashayan N, Albanes D, Wolk A, Stanford JL, Berndt SI, Mucci LA, Koutros S, Cussenot O, Sorensen KD, Grindedal EM, Key TJ, Haiman CA, Giles GG, Vega A, Wiklund F, Neal DE, Kogevinas M, Stampfer MJ, Nordestgaard BG, Brenner H, Gamulin M, Claessens F, Melander O, Dahlin A, Stattin P, Hallmans G, Häggström C, Johansson R, Thysell E, Rönn AC, Li W, Brown N, Dimeski G, Shepherd B, Dadaev T, Brook MN, Spurdle AB, Stenman UH, Koistinen H, Kote-Jarai Z, Klein RJ, Lilja H, Ecker RC, Eeles R, Clements J, Batra J. Biochemical activity induced by a germline variation in KLK3 (PSA) associates with cellular function and clinical outcome in prostate cancer. RESEARCH SQUARE 2023:rs.3.rs-2650312. [PMID: 37034758 PMCID: PMC10081352 DOI: 10.21203/rs.3.rs-2650312/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Genetic variation at the 19q13.3 KLK locus is linked with prostate cancer susceptibility. The non-synonymous KLK3 SNP, rs17632542 (c.536T>C; Ile163Thr-substitution in PSA) is associated with reduced prostate cancer risk, however, the functional relevance is unknown. Here, we identify that the SNP variant-induced change in PSA biochemical activity as a previously undescribed function mediating prostate cancer pathogenesis. The 'Thr' PSA variant led to small subcutaneous tumours, supporting reduced prostate cancer risk. However, 'Thr' PSA also displayed higher metastatic potential with pronounced osteolytic activity in an experimental metastasis in-vivo model. Biochemical characterization of this PSA variant demonstrated markedly reduced proteolytic activity that correlated with differences in in-vivo tumour burden. The SNP is associated with increased risk for aggressive disease and prostate cancer-specific mortality in three independent cohorts, highlighting its critical function in mediating metastasis. Carriers of this SNP allele had reduced serum total PSA and a higher free/total PSA ratio that could contribute to late biopsy decisions and delay in diagnosis. Our results provide a molecular explanation for the prominent 19q13.3 KLK locus, rs17632542 SNP, association with a spectrum of prostate cancer clinical outcomes.
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Affiliation(s)
- Srilakshmi Srinivasan
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Brisbane, Queensland (QLD), Australia
| | - Thomas Kryza
- Mater Research Institute - The University of Queensland, Translational Research Institute, Woolloongabba, Brisbane, QLD, Australia
| | - Nathalie Bock
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Brisbane, Queensland (QLD), Australia
| | - Brian WC Tse
- Preclinical Imaging Facility, Translational Research Institute, Woolloongabba, Brisbane, QLD, Australia
| | - Kamil A. Sokolowski
- Preclinical Imaging Facility, Translational Research Institute, Woolloongabba, Brisbane, QLD, Australia
| | - Janaththani Panchadsaram
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Brisbane, Queensland (QLD), Australia
| | - Leire Moya
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Brisbane, Queensland (QLD), Australia
| | - Carson Stephens
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Brisbane, Queensland (QLD), Australia
| | - Ying Dong
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
| | - Joan Röhl
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
| | - Saeid Alinezhad
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Brisbane, Queensland (QLD), Australia
| | - Ian Vela
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Department of Urology, Princess Alexandra Hospital, Brisbane, Woolloongabba, Brisbane, QLD, Australia
| | - Joanna L. Perry-Keene
- Pathology Queensland, Sunshine Coast University Hospital Laboratory, Birtinya, Sunshine Coast, QLD, Australia
| | - Katie Buzacott
- Pathology Queensland, Sunshine Coast University Hospital Laboratory, Birtinya, Sunshine Coast, QLD, Australia
| | - The IMPACT Study
- The Institute of Cancer Research, London, SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, London, UK
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, IDIS, Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - The PROFILE Study Steering Committee
- The Institute of Cancer Research, London, SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, London, UK
- Ronald and Rita McAulay Foundation, London, UK
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- University of Oxford, Oxford, UK
- Queen Mary University of London, London, UK
| | - Johanna Schleutker
- Institute of Biomedicine, Kiinamyllynkatu 10, FI-20014 University of Turku, Finland
- Department of Medical Genetics, Genomics, Laboratory Division, Turku University Hospital, PO Box 52, 20521 Turku, Finland
| | - Christiane Maier
- Humangenetik Tuebingen, Paul-Ehrlich-Str 23, D-72076 Tuebingen, Germany
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, M13 9PL, UK
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Catherine M. Tangen
- SWOG Statistical Center, Division of Public Health Sciences
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Henrik Gronberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Nora Pashayan
- Department of Applied Health Research, University College London, London, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, USA
| | - Alicja Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Janet L. Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, 98109-1024, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, USA
| | - Lorelei A. Mucci
- Department of Epidemiology,Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, USA
| | - Olivier Cussenot
- CeRePP and Sorbonne Universite, GRC N°5 AP-HP, Tenon Hospital, Paris, France
| | - Karina Dalsgaard Sorensen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University & Department of Molecular Medicine (MOMA), Aarhus University Hospital, DK-8200 Aarhus N., Denmark
| | | | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - 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, USA
| | - Graham G. Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Ana Vega
- Fundación Pública Galega de Medicina Xenómica-SERGAS, Instituto de Investigación Sanitaria (IDIS), Santiago de Compostela, Spain
- Biomedical Network on Rare Diseases (CIBERER), Santiago de Compostela, Spain
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - David E. Neal
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, England
- Department of Oncology, Addenbrooke’s Hospital, University of Cambridge, England
| | - Manolis Kogevinas
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Research Institute), Barcelona, Spain
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Meir J. Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Børge G. Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marija Gamulin
- Division of Medical Oncology, Urogenital Unit, Department of Oncology, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Frank Claessens
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Belgium
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Anders Dahlin
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Pär Stattin
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Göran Hallmans
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Christel Häggström
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Department of Biobank Research, Umeå University, Umeå, Sweden
| | | | - Elin Thysell
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Ann-Charlotte Rönn
- Clinical Research Center, Karolinska University Hospital, Huddinge, Sweden
| | - Weiqiang Li
- Icahn Institute for Data Science and Genome Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nigel Brown
- Department of Chemical Pathology, Pathology Queensland, Princess Alexandra Hospital, Woolloongabba, Brisbane, QLD, Australia
| | - Goce Dimeski
- Department of Chemical Pathology, Pathology Queensland, Princess Alexandra Hospital, Woolloongabba, Brisbane, QLD, Australia
| | - Benjamin Shepherd
- Department of Anatomical Pathology, Pathology Queensland, Princess Alexandra Hospital, Woolloongabba, Brisbane, QLD, Australia
| | - Tokhir Dadaev
- The Institute of Cancer Research, London, SM2 5NG, UK
| | - Mark N. Brook
- The Institute of Cancer Research, London, SM2 5NG, UK
| | - Amanda B. Spurdle
- Molecular Cancer Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD, Australia
| | - Ulf-Håkan Stenman
- Department of Clinical Chemistry, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Hannu Koistinen
- Department of Clinical Chemistry, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Zsofia Kote-Jarai
- The Institute of Cancer Research, London, SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, London, UK
| | - Robert J. Klein
- Icahn Institute for Data Science and Genome Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hans Lilja
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, England
- Departments of Laboratory Medicine, Surgery (Urology Service) and Medicine (Genitourinary Oncology), Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Translational Medicine, Lund University, Malmö, Sweden
| | - Rupert C. Ecker
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Brisbane, Queensland (QLD), Australia
- TissueGnostics GmbH, Vienna, Austria
| | - Rosalind Eeles
- The Institute of Cancer Research, London, SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, London, UK
| | | | - The Australian Prostate Cancer BioResource
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Brisbane, Queensland (QLD), Australia
| | - Judith Clements
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Brisbane, Queensland (QLD), Australia
| | - Jyotsna Batra
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT)
- Translational Research Institute, Queensland University of Technology, Woolloongabba, Brisbane, Queensland (QLD), Australia
- Centre for Genomic and Personalised Health, Queensland University of Technology, Brisbane, QLD
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2
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Esdaille AR, Ibilibor C, Holmes A, Palmer NR, Murphy AB. Access and Representation: A Narrative Review of the Disparities in Access to Clinical Trials and Precision Oncology in Black men with Prostate Cancer. Urology 2022; 163:90-98. [PMID: 34582887 DOI: 10.1016/j.urology.2021.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 08/20/2021] [Accepted: 09/14/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To provide commentary on the disparities in access to clinical trials and precision oncology specific to Black men with Prostate Cancer (PCa) in the United States and lend a general framework to aid in closing these gaps. MATERIALS AND METHODS The ideas, commentaries and data presented in this narrative review were synthesized by utilizing qualitative and quantitative studies, reviews, and randomized control trials performed between 2010 and 2021. We searched PubMed using the key words "Medicaid", "Medicare", "clinical trials", "African Americans", "Black", "underrepresentation", "access", "Prostate Cancer", "minority recruitment", "racial disparities", "disparity", "genomics", "biomarkers", "diagnostic" "prognostic", "validation", "precision medicine", and "precision oncology" to identify important themes, trends and data described in the current review. Keywords were used alone and combination with both "AND" and "OR" terms. RESULTS Black men with prostate cancer (PCa) in the United States have earlier onset of disease, present with more advanced stages, and worse prostate cancer-specific survival than their White counterparts. Potential causative factors vary from disparities in health care access to differences in tumor immunobiology and genomics along with disparate screening rates, management patterns and underrepresentation in clinical and translational research such as clinical trials and precision oncology. CONCLUSION To avoid increasing the racial disparity in PCa outcomes for Black men, we must increase inclusion of Black men into precision oncology and clinical trials, using multilevel change. Underrepresentation in clinical and translational research may potentiate poorly validated risk calculators and biomarkers, leading to poor treatment decisions in high-risk populations. Relevant actions include funding to include minority-serving institutions as recruitment sites, and inclusion of evidence based recruitment methods in funded research to increase Black representation in clinical trials and translational research.
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Affiliation(s)
- Ashanda R Esdaille
- Department of Urology, University of Wisconsin at Madison School of Medicine and Public Health, Madison, Wisconsin
| | - Christine Ibilibor
- Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - Arturo Holmes
- Department of Urology, SUNY Downstate Medical Center, Brooklyn, New York
| | - Nynikka R Palmer
- Department of Medicine, Urology and Radiation Oncology, University of California San Francisco, San Francisco General Hospital, San Francisco, California
| | - Adam B Murphy
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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3
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Athie A, Marchese FP, González J, Lozano T, Raimondi I, Juvvuna PK, Abad A, Marin-Bejar O, Serizay J, Martínez D, Ajona D, Pajares MJ, Sandoval J, Montuenga LM, Kanduri C, Lasarte JJ, Huarte M. Analysis of copy number alterations reveals the lncRNA ALAL-1 as a regulator of lung cancer immune evasion. J Cell Biol 2021; 219:152052. [PMID: 32858747 PMCID: PMC7480115 DOI: 10.1083/jcb.201908078] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 12/12/2019] [Accepted: 06/05/2020] [Indexed: 12/31/2022] Open
Abstract
Cancer is characterized by genomic instability leading to deletion or amplification of oncogenes or tumor suppressors. However, most of the altered regions are devoid of known cancer drivers. Here, we identify lncRNAs frequently lost or amplified in cancer. Among them, we found amplified lncRNA associated with lung cancer-1 (ALAL-1) as frequently amplified in lung adenocarcinomas. ALAL-1 is also overexpressed in additional tumor types, such as lung squamous carcinoma. The RNA product of ALAL-1 is able to promote the proliferation and tumorigenicity of lung cancer cells. ALAL-1 is a TNFα- and NF-κB-induced cytoplasmic lncRNA that specifically interacts with SART3, regulating the subcellular localization of the protein deubiquitinase USP4 and, in turn, its function in the cell. Interestingly, ALAL-1 expression inversely correlates with the immune infiltration of lung squamous tumors, while tumors with ALAL-1 amplification show lower infiltration of several types of immune cells. We have thus unveiled a pro-oncogenic lncRNA that mediates cancer immune evasion, pointing to a new target for immune potentiation.
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Affiliation(s)
- Alejandro Athie
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Institute of Health Research of Navarra, Pamplona, Spain
| | - Francesco P Marchese
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Institute of Health Research of Navarra, Pamplona, Spain
| | - Jovanna González
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Institute of Health Research of Navarra, Pamplona, Spain
| | - Teresa Lozano
- Institute of Health Research of Navarra, Pamplona, Spain.,Department of Immunology and Immunotherapy, Center for Applied Medical Research, University of Navarra, Pamplona, Spain
| | - Ivan Raimondi
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Institute of Health Research of Navarra, Pamplona, Spain
| | - Prasanna Kumar Juvvuna
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Amaya Abad
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Institute of Health Research of Navarra, Pamplona, Spain
| | - Oskar Marin-Bejar
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Institute of Health Research of Navarra, Pamplona, Spain
| | - Jacques Serizay
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Institute of Health Research of Navarra, Pamplona, Spain
| | - Dannys Martínez
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Institute of Health Research of Navarra, Pamplona, Spain
| | - Daniel Ajona
- Institute of Health Research of Navarra, Pamplona, Spain.,Department of Solid Tumors, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Department of Pathology, Anatomy and Physiology, University of Navarra and CIBERONC, Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
| | - Maria Jose Pajares
- Institute of Health Research of Navarra, Pamplona, Spain.,Department of Solid Tumors, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Department of Pathology, Anatomy and Physiology, University of Navarra and CIBERONC, Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
| | - Juan Sandoval
- Biomarkers and Precision Medicine Unit, Health Research Institute La Fe, Valencia, Spain.,Epigenomics Core Facility, Health Research Institute La Fe, Valencia, Spain
| | - Luis M Montuenga
- Institute of Health Research of Navarra, Pamplona, Spain.,Department of Solid Tumors, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Department of Pathology, Anatomy and Physiology, University of Navarra and CIBERONC, Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
| | - Chandrasekhar Kanduri
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Juan J Lasarte
- Institute of Health Research of Navarra, Pamplona, Spain.,Department of Immunology and Immunotherapy, Center for Applied Medical Research, University of Navarra, Pamplona, Spain
| | - Maite Huarte
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Institute of Health Research of Navarra, Pamplona, Spain
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Otto JJ, Correll VL, Engstroem HA, Hitefield NL, Main BP, Albracht B, Johnson‐Pais T, Yang LF, Liss M, Boutros PC, Kislinger T, Leach RJ, Semmes OJ, Nyalwidhe JO. Targeted Mass Spectrometry of a Clinically Relevant PSA Variant from Post-DRE Urines for Quantitation and Genotype Determination. Proteomics Clin Appl 2020; 14:e2000012. [PMID: 32614141 PMCID: PMC7674190 DOI: 10.1002/prca.202000012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 06/08/2020] [Indexed: 01/03/2023]
Abstract
PURPOSE The rs17632542 single nucleotide polymorphism (SNP) results in lower serum prostate specific antigen (PSA) levels which may further mitigate against its clinical utility as a prostate cancer biomarker. Post-digital rectal exam (post-DRE) urine is a minimally invasive fluid that is currently utilized in prostate cancer diagnosis. To detect and quantitate the variant protein in urine. EXPERIMENTAL DESIGN Fifty-three post-DRE urines from rs17632542 genotyped individuals processed and analyzed by liquid chromatography/mass spectrometry (LC-MS) in a double-blinded randomized study. The ability to distinguish between homozygous wild-type, heterozygous, or homozygous variant is examined before unblinding. RESULTS Stable-isotope labeled peptides are used in the detection and quantitation of three peptides of interest in each sample using parallel reaction monitoring (PRM). Using these data, groupings are predicted using hierarchical clustering in R. Accuracy of the predictions show 100% concordance across the 53 samples, including individuals homozygous and heterozygous for the SNP. CONCLUSIONS AND CLINICAL RELEVANCE The study demonstrates that MS based peptide variant quantitation in urine could be useful in determining patient genotype expression. This assay provides a tool to evaluate the utility of PSA variant (rs17632542) in parallel with current and forthcoming urine biomarker panels.
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Affiliation(s)
- Joseph J. Otto
- Leroy T. Canoles Jr. Cancer Research CenterEastern Virginia Medical SchoolNorfolkVA23507USA
| | - Vanessa L. Correll
- Leroy T. Canoles Jr. Cancer Research CenterEastern Virginia Medical SchoolNorfolkVA23507USA
| | - Hampus A. Engstroem
- Leroy T. Canoles Jr. Cancer Research CenterEastern Virginia Medical SchoolNorfolkVA23507USA
| | - Naomi L. Hitefield
- Leroy T. Canoles Jr. Cancer Research CenterEastern Virginia Medical SchoolNorfolkVA23507USA
- Department of Microbiology and Molecular Cell BiologyEastern Virginia Medical SchoolNorfolkVA23507USA
| | - Brian P. Main
- Leroy T. Canoles Jr. Cancer Research CenterEastern Virginia Medical SchoolNorfolkVA23507USA
| | - Brenna Albracht
- Department of UrologyThe University of Texas Health San AntonioSan AntonioTX78229USA
| | - Teresa Johnson‐Pais
- Department of UrologyThe University of Texas Health San AntonioSan AntonioTX78229USA
| | - Li Fang Yang
- Leroy T. Canoles Jr. Cancer Research CenterEastern Virginia Medical SchoolNorfolkVA23507USA
- Department of Microbiology and Molecular Cell BiologyEastern Virginia Medical SchoolNorfolkVA23507USA
| | - Michael Liss
- Department of UrologyThe University of Texas Health San AntonioSan AntonioTX78229USA
- Mays Cancer Center at UT Health San Antonio/MD AndersonSan AntonioTX78229USA
| | - Paul C. Boutros
- Departments of Human Genetics and UrologyJonsson Comprehensive Cancer CenterInstitute for Precision Health University of California Los AngelesLos AngelesCA90095USA
- University of TorontoDepartment of Medical BiophysicsTorontoON M5G 1L7Canada
| | - Thomas Kislinger
- University of TorontoDepartment of Medical BiophysicsTorontoON M5G 1L7Canada
| | - Robin J. Leach
- Department of UrologyThe University of Texas Health San AntonioSan AntonioTX78229USA
- Department of Cell Systems and AnatomyThe University of Texas Health San AntonioSan AntonioTX78229USA
| | - Oliver J. Semmes
- Leroy T. Canoles Jr. Cancer Research CenterEastern Virginia Medical SchoolNorfolkVA23507USA
- Department of Microbiology and Molecular Cell BiologyEastern Virginia Medical SchoolNorfolkVA23507USA
| | - Julius O. Nyalwidhe
- Leroy T. Canoles Jr. Cancer Research CenterEastern Virginia Medical SchoolNorfolkVA23507USA
- Department of Microbiology and Molecular Cell BiologyEastern Virginia Medical SchoolNorfolkVA23507USA
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5
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Fiorica PN, Schubert R, Morris JD, Abdul Sami M, Wheeler HE. Multi-ethnic transcriptome-wide association study of prostate cancer. PLoS One 2020; 15:e0236209. [PMID: 32986714 PMCID: PMC7521738 DOI: 10.1371/journal.pone.0236209] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 09/11/2020] [Indexed: 12/13/2022] Open
Abstract
The genetic risk for prostate cancer has been governed by a few rare variants with high penetrance and over 150 commonly occurring variants with lower impact on risk; however, most of these variants have been identified in studies containing exclusively European individuals. People of non-European ancestries make up less than 15% of prostate cancer GWAS subjects. Across the globe, incidence of prostate cancer varies with population due to environmental and genetic factors. The discrepancy between disease incidence and representation in genetics highlights the need for more studies of the genetic risk for prostate cancer across diverse populations. To better understand the genetic risk for prostate cancer across diverse populations, we performed PrediXcan and GWAS in a case-control study of 4,769 self-identified African American (2,463 cases and 2,306 controls), 2,199 Japanese American (1,106 cases and 1,093 controls), and 2,147 Latin American (1,081 cases and 1,066 controls) individuals from the Multiethnic Genome-wide Scan of Prostate Cancer. We used prediction models from 46 tissues in GTEx version 8 and five models from monocyte transcriptomes in the Multi-Ethnic Study of Atherosclerosis. Across the three populations, we predicted 19 gene-tissue pairs, including five unique genes, to be significantly (lfsr < 0.05) associated with prostate cancer. One of these genes, NKX3-1, replicated in a larger European study. At the SNP level, 110 SNPs met genome-wide significance in the African American study while 123 SNPs met significance in the Japanese American study. Fine mapping revealed three significant independent loci in the African American study and two significant independent loci in the Japanese American study. These identified loci confirm findings from previous GWAS of prostate cancer in diverse populations while PrediXcan-identified genes suggest potential new directions for prostate cancer research in populations across the globe.
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Affiliation(s)
- Peter N. Fiorica
- Department of Chemistry & Biochemistry, Loyola University Chicago, Chicago, IL, United States of America
- Department of Biology, Loyola University Chicago, Chicago, IL, United States of America
| | - Ryan Schubert
- Department of Biology, Loyola University Chicago, Chicago, IL, United States of America
- Program in Bioinformatics, Loyola University Chicago, Chicago, IL, United States of America
- Department of Statistics, Loyola University Chicago, Chicago, IL, United States of America
| | - John D. Morris
- Department of Biology, Loyola University Chicago, Chicago, IL, United States of America
- Program in Bioinformatics, Loyola University Chicago, Chicago, IL, United States of America
| | - Mohammed Abdul Sami
- Department of Biology, Loyola University Chicago, Chicago, IL, United States of America
| | - Heather E. Wheeler
- Department of Chemistry & Biochemistry, Loyola University Chicago, Chicago, IL, United States of America
- Department of Biology, Loyola University Chicago, Chicago, IL, United States of America
- Program in Bioinformatics, Loyola University Chicago, Chicago, IL, United States of America
- Department of Public Health, Loyola University Chicago, Chicago, IL, United States of America
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6
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Hamdy FC, Donovan JL, Lane JA, Mason M, Metcalfe C, Holding P, Wade J, Noble S, Garfield K, Young G, Davis M, Peters TJ, Turner EL, Martin RM, Oxley J, Robinson M, Staffurth J, Walsh E, Blazeby J, Bryant R, Bollina P, Catto J, Doble A, Doherty A, Gillatt D, Gnanapragasam V, Hughes O, Kockelbergh R, Kynaston H, Paul A, Paez E, Powell P, Prescott S, Rosario D, Rowe E, Neal D. Active monitoring, radical prostatectomy and radical radiotherapy in PSA-detected clinically localised prostate cancer: the ProtecT three-arm RCT. Health Technol Assess 2020; 24:1-176. [PMID: 32773013 PMCID: PMC7443739 DOI: 10.3310/hta24370] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Prostate cancer is the most common cancer among men in the UK. Prostate-specific antigen testing followed by biopsy leads to overdetection, overtreatment as well as undertreatment of the disease. Evidence of treatment effectiveness has lacked because of the paucity of randomised controlled trials comparing conventional treatments. OBJECTIVES To evaluate the effectiveness of conventional treatments for localised prostate cancer (active monitoring, radical prostatectomy and radical radiotherapy) in men aged 50-69 years. DESIGN A prospective, multicentre prostate-specific antigen testing programme followed by a randomised trial of treatment, with a comprehensive cohort follow-up. SETTING Prostate-specific antigen testing in primary care and treatment in nine urology departments in the UK. PARTICIPANTS Between 2001 and 2009, 228,966 men aged 50-69 years received an invitation to attend an appointment for information about the Prostate testing for cancer and Treatment (ProtecT) study and a prostate-specific antigen test; 82,429 men were tested, 2664 were diagnosed with localised prostate cancer, 1643 agreed to randomisation to active monitoring (n = 545), radical prostatectomy (n = 553) or radical radiotherapy (n = 545) and 997 chose a treatment. INTERVENTIONS The interventions were active monitoring, radical prostatectomy and radical radiotherapy. TRIAL PRIMARY OUTCOME MEASURE Definite or probable disease-specific mortality at the 10-year median follow-up in randomised participants. SECONDARY OUTCOME MEASURES Overall mortality, metastases, disease progression, treatment complications, resource utilisation and patient-reported outcomes. RESULTS There were no statistically significant differences between the groups for 17 prostate cancer-specific (p = 0.48) and 169 all-cause (p = 0.87) deaths. Eight men died of prostate cancer in the active monitoring group (1.5 per 1000 person-years, 95% confidence interval 0.7 to 3.0); five died of prostate cancer in the radical prostatectomy group (0.9 per 1000 person-years, 95% confidence interval 0.4 to 2.2 per 1000 person years) and four died of prostate cancer in the radical radiotherapy group (0.7 per 1000 person-years, 95% confidence interval 0.3 to 2.0 per 1000 person years). More men developed metastases in the active monitoring group than in the radical prostatectomy and radical radiotherapy groups: active monitoring, n = 33 (6.3 per 1000 person-years, 95% confidence interval 4.5 to 8.8); radical prostatectomy, n = 13 (2.4 per 1000 person-years, 95% confidence interval 1.4 to 4.2 per 1000 person years); and radical radiotherapy, n = 16 (3.0 per 1000 person-years, 95% confidence interval 1.9 to 4.9 per 1000 person-years; p = 0.004). There were higher rates of disease progression in the active monitoring group than in the radical prostatectomy and radical radiotherapy groups: active monitoring (n = 112; 22.9 per 1000 person-years, 95% confidence interval 19.0 to 27.5 per 1000 person years); radical prostatectomy (n = 46; 8.9 per 1000 person-years, 95% confidence interval 6.7 to 11.9 per 1000 person-years); and radical radiotherapy (n = 46; 9.0 per 1000 person-years, 95% confidence interval 6.7 to 12.0 per 1000 person years; p < 0.001). Radical prostatectomy had the greatest impact on sexual function/urinary continence and remained worse than radical radiotherapy and active monitoring. Radical radiotherapy's impact on sexual function was greatest at 6 months, but recovered somewhat in the majority of participants. Sexual and urinary function gradually declined in the active monitoring group. Bowel function was worse with radical radiotherapy at 6 months, but it recovered with the exception of bloody stools. Urinary voiding and nocturia worsened in the radical radiotherapy group at 6 months but recovered. Condition-specific quality-of-life effects mirrored functional changes. No differences in anxiety/depression or generic or cancer-related quality of life were found. At the National Institute for Health and Care Excellence threshold of £20,000 per quality-adjusted life-year, the probabilities that each arm was the most cost-effective option were 58% (radical radiotherapy), 32% (active monitoring) and 10% (radical prostatectomy). LIMITATIONS A single prostate-specific antigen test and transrectal ultrasound biopsies were used. There were very few non-white men in the trial. The majority of men had low- and intermediate-risk disease. Longer follow-up is needed. CONCLUSIONS At a median follow-up point of 10 years, prostate cancer-specific mortality was low, irrespective of the assigned treatment. Radical prostatectomy and radical radiotherapy reduced disease progression and metastases, but with side effects. Further work is needed to follow up participants at a median of 15 years. TRIAL REGISTRATION Current Controlled Trials ISRCTN20141297. FUNDING This project was funded by the National Institute for Health Research Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 37. See the National Institute for Health Research Journals Library website for further project information.
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Affiliation(s)
- Freddie C Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | | | - J Athene Lane
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Malcolm Mason
- School of Medicine, University of Cardiff, Cardiff, UK
| | - Chris Metcalfe
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Peter Holding
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Julia Wade
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Sian Noble
- Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Grace Young
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Michael Davis
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Tim J Peters
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Emma L Turner
- Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Jon Oxley
- Department of Cellular Pathology, North Bristol NHS Trust, Bristol, UK
| | - Mary Robinson
- Department of Cellular Pathology, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - John Staffurth
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK
| | - Eleanor Walsh
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Jane Blazeby
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Richard Bryant
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Prasad Bollina
- Department of Urology and Surgery, Western General Hospital, University of Edinburgh, Edinburgh, UK
| | - James Catto
- Academic Urology Unit, University of Sheffield, Sheffield, UK
| | - Andrew Doble
- Department of Urology, Addenbrooke's Hospital, Cambridge, UK
| | - Alan Doherty
- Department of Urology, Queen Elizabeth Hospital, Birmingham, UK
| | - David Gillatt
- Department of Urology, Southmead Hospital and Bristol Urological Institute, Bristol, UK
| | | | - Owen Hughes
- Department of Urology, Cardiff and Vale University Health Board, Cardiff, UK
| | - Roger Kockelbergh
- Department of Urology, University Hospitals of Leicester, Leicester, UK
| | - Howard Kynaston
- Department of Urology, Cardiff and Vale University Health Board, Cardiff, UK
| | - Alan Paul
- Department of Urology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Edgar Paez
- Department of Urology, Freeman Hospital, Newcastle upon Tyne, UK
| | - Philip Powell
- Department of Urology, Freeman Hospital, Newcastle upon Tyne, UK
| | - Stephen Prescott
- Department of Urology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Derek Rosario
- Academic Urology Unit, University of Sheffield, Sheffield, UK
| | - Edward Rowe
- Department of Urology, Southmead Hospital and Bristol Urological Institute, Bristol, UK
| | - David Neal
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Academic Urology Group, University of Cambridge, Cambridge, UK
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7
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Kensler KH, Rebbeck TR. Cancer Progress and Priorities: Prostate Cancer. Cancer Epidemiol Biomarkers Prev 2020; 29:267-277. [PMID: 32024765 PMCID: PMC7006991 DOI: 10.1158/1055-9965.epi-19-0412] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 06/10/2019] [Accepted: 12/03/2019] [Indexed: 02/06/2023] Open
Affiliation(s)
- Kevin H Kensler
- Division of Population Sciences, Dana-Farber Cancer Institute and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Timothy R Rebbeck
- Division of Population Sciences, Dana-Farber Cancer Institute and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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8
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Shao HB, Ren K, Gao SL, Zou JG, Mi YY, Zhang LF, Zuo L, Okada A, Yasui T. Human methionine synthase A2756G polymorphism increases susceptibility to prostate cancer. Aging (Albany NY) 2019; 10:1776-1788. [PMID: 30064122 PMCID: PMC6075445 DOI: 10.18632/aging.101509] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 07/28/2018] [Indexed: 12/13/2022]
Abstract
Background/Aims: Previous results on the association between MTR gene A2756G polymorphism and PCa risk are inconclusive. Methods: We used odds ratios (ORs) with corresponding 95% confidence intervals (95% CIs) to evaluate the correlation between MTR A2756G polymorphism and risk of PCa in meta-analysis. Serum expression of MTR was detected by ELISA and in-silico tools were utilized to assess this variant. Results: Our study included 2,921 PCa patients and 3,095 control subjects. The results indicated that the MTR A2756G polymorphism is linked with an increased risk of PCa using three genetic models (G-allele vs. A-allele: OR = 1.16, 95%CI = 1.04 - 1.30; GA vs. AA: OR = 1.17, 95%CI = 1.02 - 1.33; GG+GA vs. AA: OR = 1.18, 95%CI = 1.04 - 1.34). Stratified analysis produced similar results. A significant association was also indicated in advanced PCa from the meta-analysis. Finally, our experiments showed evidence that serum MTR levels in PCa patients with AA genotypes were statistically higher than in those with GG/GA genotypes. Conclusions: Our present study suggests that the MTR A2756G polymorphism may contribute to the risk of developing PCa, particularly in Asian and hospital-based studies. Moreover, serum MTR might be utilized in diagnosis of PCa.
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Affiliation(s)
- Hong-Bao Shao
- Department of Urology, Third Affiliated Hospital of Nantong University, Wuxi 214041, China
| | - Kewei Ren
- Department of Orthopedics, the Affiliated Jiangyin Hospital of Southeast University Medical School, Jiangyin 214400, China
| | - Sheng-Lin Gao
- Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213003, Jiangsu Province, China
| | - Jian-Gang Zou
- Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213003, Jiangsu Province, China
| | - Yuan-Yuan Mi
- Department of Urology, Third Affiliated Hospital of Nantong University, Wuxi 214041, China
| | - Li-Feng Zhang
- Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213003, Jiangsu Province, China
| | - Li Zuo
- Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213003, Jiangsu Province, China
| | - Atsushi Okada
- Department of Nephrourology, Nagoya City University Graduate School of Medical Sciences, Aichi 4678601, Japan
| | - Takahiro Yasui
- Department of Nephrourology, Nagoya City University Graduate School of Medical Sciences, Aichi 4678601, Japan
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9
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The relationship between KLK3 rs17632542 and PRNCR1 rs16901979 polymorphisms with susceptibility to prostate cancer. Meta Gene 2019. [DOI: 10.1016/j.mgene.2019.100595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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10
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Yu H, Shi Z, Wu Y, Wang CH, Lin X, Perschon C, Isaacs WB, Helfand BT, Lilly Zheng S, Duggan D, Mo Z, Lu D, Xu J. Concept and benchmarks for assessing narrow-sense validity of genetic risk score values. Prostate 2019; 79:1099-1105. [PMID: 31037745 DOI: 10.1002/pros.23821] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 04/08/2019] [Accepted: 04/12/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND While higher genetic risk score (GRS) has been statistically associated with increased disease risk (broad-sense validity), the concept and tools for assessing the validity of reported GRS values from tests (narrow-sense validity) are underdeveloped. METHODS We propose two benchmarks for assessing the narrow-sense validity of GRS. The baseline benchmark requires that the mean GRS value in a general population approximates 1.0. The calibration benchmark assesses the agreement between observed risks and estimated risks (GRS values). We assessed benchmark performance for three prostate cancer (PCa) GRS tests, derived from three SNP panels with increasing stringency of selection criteria, in a PCa chemoprevention trial where 714 of 3225 men were diagnosed with PCa during the 4-year follow-up. RESULTS GRS from Panels 1, 2, and 3 were all statistically associated with PCa risk; P = 5.58 × 10-3 , P = 1 × 10-3 , and P = 1.5 × 10-13 , respectively (broad-sense validity). For narrow-sense validity, the mean GRS value among men without PCa was 1.33, 1.09, and 0.98 for Panels 1, 2, and 3, respectively (baseline benchmark). For assessing the calibration benchmark, observed risks were calculated for seven groups of men with GRS values <0.3, 0.3-0.79, 0.8-1.19, 1.2-1.49, 1.5-1.99, 2-2.99, and ≥3. The calibration slope (higher is better) was 0.15, 0.12, and 0.60, and the bias score (lower is better) between the observed risks and GRS values was 0.08, 0.08, and 0.02 for Panels 1, 2, and 3, respectively. CONCLUSION Performance differed considerably among GRS tests. We recommend that all GRS tests be evaluated using the two benchmarks before clinical implementation for individual risk assessment.
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Affiliation(s)
- Hongjie Yu
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - Zhuqing Shi
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Yishuo Wu
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chi-Hsiung Wang
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - Xiaoling Lin
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chelsea Perschon
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - William B Isaacs
- Department of Urology and the James Buchanan Brady Urologic Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Brian T Helfand
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - S Lilly Zheng
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - David Duggan
- Genetic Basis of Human Disease Division, Translational Genomics Research Institute, Phoenix, Arizona
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Daru Lu
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Jianfeng Xu
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
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11
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Search for genetic factor association with cancer-free prostate-specific antigen level elevation on the basis of a genome-wide association study in the Korean population. Eur J Cancer Prev 2019; 27:453-460. [PMID: 28471803 DOI: 10.1097/cej.0000000000000359] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
We investigated the genetic markers associated with elevated serum prostate-specific antigen (sPSA) levels to improve the predictive power of sPSA in screening for prostate cancer. A genome-wide association study was carried out among 4124 healthy Korean male adults using the Affymetrix Axiom Customized Biobank Genotyping Arrays for sPSA levels. A subgroup analysis for increased sPSA levels who underwent a prostate biopsy (n=64) was also carried out. We detected 11 single nucleotide polymorphisms (SNPs) near the Solute carrier family 45member 3, AGAP7P, MSMB, LOC101929917, and KLK3 genes associated with sPSA levels. The top SNP associated with the log of the sPSA levels was rs72434280 in the Solute carrier family 45 member 3 gene (P value, discovery set=2.98×10, replication set=7.31×10). A case-control study utilizing available biopsy reports (49 patients with normal biopsies vs. 15 patients with biopsies indicating cancer) for the sPSA more than 3 ng/ml group was carried out for the respective SNPs after adjusting for age. Only the SNPs near the KLK3 gene were associated with prostate cancer. In the model of the predictive elevation of sPSA level, adding the genetic risk score [area under the curve (AUC)=0.697] to age and BMI (AUC=0.602) significantly improved the results of the AUC (P<0.0001). We found seven SNPs associated with elevated prostate-specific antigen levels in healthy Korean men. Four SNPs were a novel marker in the Korean population. In men with increased prostate-specific antigen levels, genotyping SNP related to cancer-free elevation of sPSA level could be informative to decide the indication of prostate biopsy.
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12
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Dias A, Kote-Jarai Z, Mikropoulos C, Eeles R. Prostate Cancer Germline Variations and Implications for Screening and Treatment. Cold Spring Harb Perspect Med 2018; 8:a030379. [PMID: 29101112 PMCID: PMC6120689 DOI: 10.1101/cshperspect.a030379] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Prostate cancer (PCa) is a highly heritable disease, and rapid evolution of sequencing technologies has enabled marked progression of our understanding of its genetic inheritance. A complex polygenic model that involves common low-penetrance susceptibility alleles causing individually small but cumulatively significant risk and rarer genetic variants causing greater risk represent the current most accepted model. Through genome-wide association studies, more than 100 single-nucleotide polymorphisms (SNPs) associated with PCa risk have been identified. Consistent reports have identified germline mutations in the genes BRCA1, BRCA2, MMR, HOXB13, CHEK2, and NBS1 as conferring moderate risks, with some leading to a more aggressive disease behavior. Considering this knowledge, several research strategies have been developed to determine whether targeted prostate screening using genetic information can overcome the limitations of population-based prostate-specific antigen (PSA) screening. Germline DNA-repair mutations are more frequent in men with metastatic disease than previously thought, and these patients have a more favorable response to therapy with poly(adenosine diphosphate [ADP]-ribose) polymerase (PARP) inhibitors. Genomic information is a practical tool that has the potential to enable the concept of precision medicine to become a reality in all steps of PCa patient care.
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Affiliation(s)
- Alexander Dias
- The Institute of Cancer Research, Sutton, Surrey SM2 5NG, United Kingdom
- The Institute of Cancer Research and Royal Marsden National Health Service (NHS) Foundation Trust, Academic Urology Unit and The Oncogenetics Team, London SW3 6JJ, United Kingdom
| | - Zsofia Kote-Jarai
- The Institute of Cancer Research, Sutton, Surrey SM2 5NG, United Kingdom
| | | | - Ros Eeles
- The Institute of Cancer Research, Sutton, Surrey SM2 5NG, United Kingdom
- The Institute of Cancer Research and Royal Marsden National Health Service (NHS) Foundation Trust, Academic Urology Unit and The Oncogenetics Team, London SW3 6JJ, United Kingdom
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13
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Rebbeck TR. Prostate Cancer Disparities by Race and Ethnicity: From Nucleotide to Neighborhood. Cold Spring Harb Perspect Med 2018; 8:a030387. [PMID: 29229666 PMCID: PMC6120694 DOI: 10.1101/cshperspect.a030387] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Prostate cancer (CaP) incidence, morbidity, and mortality rates vary substantially by race and ethnicity, with African American men experiencing among the highest CaP rates in the world. The causes of these disparities are multifactorial and complex, and likely involve differences in access to screening and treatment, exposure to CaP risk factors, variation in genomic susceptibility, and other biological factors. To date, the proportion of CaP that can be explained by environmental exposures is small and differences in the role factors play by race or ethnicity is poorly understood. In the absence of additional data, it is likely that environmental factors do not contribute greatly to CaP disparities. In contrast, CaP has one of the highest heritabilities of all major cancers and many CaP susceptibility genes have been identified. Some CaP loci, including the risk loci found at chromosome 8q24, have consistent effects in all racial/ethnic groups studied to date. However, replication of many susceptibility loci across race or ethnicity remains limited. It is likely that inequities in health care access strongly influences CaP disparities. CaP is a disease with a complex multifactorial etiology, and therefore any approach attempting to address racial/ethnic disparities in CaP must consider the many sources that influence risk, outcomes, and disparities.
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Affiliation(s)
- Timothy R Rebbeck
- Dana Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02215
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14
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Freedman JA, Wang Y, Li X, Liu H, Moorman PG, George DJ, Lee NH, Hyslop T, Wei Q, Patierno SR. Single-nucleotide polymorphisms of stemness genes predicted to regulate RNA splicing, microRNA and oncogenic signaling are associated with prostate cancer survival. Carcinogenesis 2018; 39:879-888. [PMID: 29726910 PMCID: PMC6248658 DOI: 10.1093/carcin/bgy062] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 05/01/2018] [Indexed: 12/13/2022] Open
Abstract
Prostate cancer (PCa) is a clinically and molecularly heterogeneous disease, with variation in outcomes only partially predicted by grade and stage. Additional tools to distinguish indolent from aggressive disease are needed. Phenotypic characteristics of stemness correlate with poor cancer prognosis. Given this correlation, we identified single-nucleotide polymorphisms (SNPs) of stemness-related genes and examined their associations with PCa survival. SNPs within stemness-related genes were analyzed for association with overall survival of PCa in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Significant SNPs predicted to be functional were selected for linkage disequilibrium analysis and combined and stratified analyses. Identified SNPs were evaluated for association with gene expression. SNPs of CD44 (rs9666607), ABCC1 (rs35605 and rs212091) and GDF15 (rs1058587) were associated with PCa survival and predicted to be functional. A role for rs9666607 of CD44 and rs35605 of ABCC1 in RNA splicing regulation, rs212091 of ABCC1 in miRNA binding site activity and rs1058587 of GDF15 in causing an amino acid change was predicted. These SNPs represent potential novel prognostic markers for overall survival of PCa and support a contribution of the stemness pathway to PCa patient outcome.
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Affiliation(s)
- Jennifer A Freedman
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Yanru Wang
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Xuechan Li
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Hongliang Liu
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Patricia G Moorman
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA
| | - Daniel J George
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Norman H Lee
- Department of Pharmacology and Physiology, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Terry Hyslop
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA
| | - Qingyi Wei
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Steven R Patierno
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
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15
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Weng H, Zeng XT, Wang XH, Liu TZ, He DL. Genetic Association between Matrix Metalloproteinases Gene Polymorphisms and Risk of Prostate Cancer: A Meta-Analysis. Front Physiol 2017; 8:975. [PMID: 29249982 PMCID: PMC5717537 DOI: 10.3389/fphys.2017.00975] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 11/15/2017] [Indexed: 11/13/2022] Open
Abstract
Background and Objective: Studies suggests that matrix metalloproteinase (MMP)-2-1306 C/T and MMP-1-1607 1G/2G polymorphisms affect the risk of prostate cancer. However, the conclusions remain controversial and no pooled evidence of this topic has been published. Therefore, we aimed to perform a meta-analysis to shed some light on the controversial conclusion pertaining to the associations of MMP-2-1306 C/T and MMP-1-1607 1G/2G polymorphisms with prostate cancer susceptibility. Methods: A thorough literature search was performed up to August, 2016 with the PubMed, EMBASE, CBM, CNKI, and Wanfang databases. Odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs) were calculated to address the correlations between these polymorphisms and risk of prostate cancer. Results: The meta-analysis included six studies (1,921 patients and 1,988 controls) on MMP-2-1306 C/T polymorphism and three studies on MMP-1-1607 1G/2G polymorphism (438 patients and 394 controls), respectively. The overall results of meta-analysis showed that an elevated risk of the disease was implicated in MMP-2-1306 C/T polymorphism under two genetic models (CT vs. CC: OR = 1.78, 95% CI = 1.33–2.38; TT+CT vs. CC: OR = 1.62, 95% CI = 1.24–2.12) and no significant association was observed between MMP-1-1607 1G/2G polymorphism and the risk of prostate cancer. The subgroup analysis results of MMP-2-1306 C/T polymorphism were similar to the overall results. However, decreased risk of prostate cancer was observed in the Caucasians for MMP-1-1607 1G/2G polymorphism. Conclusions: Current meta-analysis indicates that MMP-2-1306 C/T polymorphism is associated with elevated risk of prostate cancer, but MMP-1-1607 1G/2G polymorphism may inhibit the occurrence of prostate cancer in Caucasians. Further studies are warranted to verify the conclusions.
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Affiliation(s)
- Hong Weng
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.,Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xian-Tao Zeng
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.,Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xing-Huan Wang
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.,Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Tong-Zu Liu
- Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Da-Lin He
- Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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16
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Abstract
Prostate cancer rates vary substantially by race, ethnicity, and geography. These disparities can be explained by variation in access to screening and treatment, variation in exposure to prostate cancer risk factors, and variation in the underlying biology of prostate carcinogenesis (including genomic propensity of some groups to develop biologically aggressive disease). It is clear that access to screening and access to treatment are critical influencing factors of prostate cancer rates; yet, even among geographically diverse populations with similar access to care (eg, low- and medium-income countries), African descent men have higher prostate cancer rates and poorer prognosis. To date, the proportion of prostate cancer that can be explained by environmental exposures is small, and the effect of these factors across different racial, ethnic, or geographical populations is poorly understood. In contrast, prostate cancer has one of the highest heritabilities of all major cancers. Numerous genetic susceptibility markers have been identified from family-based studies, candidate gene association studies, and genome-wide association studies. Some prostate cancer loci, including the risk loci found at chromosome 8q24, have consistent effects in all groups studied to date. However, replication of many susceptibility loci across race, ethnicity, and geography remains limited, and additional studies in certain populations (particularly in men of African descent) are needed to better understand the underlying genetic basis of prostate cancer.
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Affiliation(s)
- Timothy R Rebbeck
- Department of Medical Oncology Dana Farber Cancer Institute, Boston, MA; Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA.
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17
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Vaidyanathan V, Karunasinghe N, Jabed A, Pallati R, Kao CHJ, Wang A, Marlow G, Ferguson LR. Prostate Cancer: Is It a Battle Lost to Age? Geriatrics (Basel) 2016; 1:E27. [PMID: 31022820 PMCID: PMC6371152 DOI: 10.3390/geriatrics1040027] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Revised: 10/10/2016] [Accepted: 10/31/2016] [Indexed: 01/08/2023] Open
Abstract
Age is often considered an important non-modifiable risk factor for a number of diseases, including prostate cancer. Some prominent risk factors of prostate cancer include familial history, ethnicity and age. In this review, various genetic and physiological characteristics affected due to advancing age will be analysed and correlated with their direct effect on prostate cancer.
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Affiliation(s)
- Venkatesh Vaidyanathan
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand.
| | | | - Anower Jabed
- Department of Molecular Medicine and Pathology, FM & HS, University of Auckland, Auckland 1023, New Zealand.
| | - Radha Pallati
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand.
| | - Chi Hsiu-Juei Kao
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand.
| | - Alice Wang
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand.
| | - Gareth Marlow
- Experimental Cancer Medicine Centre, Cardiff University, Cardiff CF14 4XN, UK.
| | - Lynnette R Ferguson
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand.
- Auckland Cancer Society Research Centre, Auckland 1023, New Zealand.
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18
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Cornu JN, Cancel-Tassin G, Cox DG, Roupret M, Koutlidis N, Bigot P, Valeri A, Ondet V, Gaffory C, Fournier G, Azzouzi AR, Cormier L, Cussenot O. Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population. Eur Urol 2016; 70:6-8. [DOI: 10.1016/j.eururo.2016.01.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2015] [Accepted: 01/15/2016] [Indexed: 11/30/2022]
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19
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Du M, Tillmans L, Gao J, Gao P, Yuan T, Dittmar RL, Song W, Yang Y, Sahr N, Wang T, Wei GH, Thibodeau SN, Wang L. Chromatin interactions and candidate genes at ten prostate cancer risk loci. Sci Rep 2016; 6:23202. [PMID: 26979803 PMCID: PMC4793270 DOI: 10.1038/srep23202] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 03/02/2016] [Indexed: 12/12/2022] Open
Abstract
Genome-wide association studies have identified more than 100 common single nucleotide polymorphisms (SNPs) that are associated with prostate cancer risk. However, the vast majority of these SNPs lie in noncoding regions of the genome. To test whether these risk SNPs regulate their target genes through long-range chromatin interactions, we applied capture-based 3C sequencing technology to investigate possible cis-interactions at ten prostate cancer risk loci in six cell lines. We identified significant physical interactions between risk regions and their potential target genes including CAPG at 2p11.2, C2orf43 at 2p24.1, RFX6 at 6q22.1, NFASC at 1q32.1, MYC at 8q24.1 and AGAP7P at 10q11.23. Most of the interaction peaks were co-localized to regions of active histone modification and transcription factor binding sites. Expression quantitative trait locus (eQTL) analysis showed suggestive eQTL signals at rs1446669, rs699664 and rs1078004 for CAPG (p < 0.004), rs13394027 for C2orf43 (p = 2.25E-27), rs10993994 and rs4631830 for AGAP7P (p < 8.02E-5). Further analysis revealed an enhancer activity at genomic region surrounding rs4631830 which was expected to disrupt HOXB-like DNA binding affinity. This study identifies a set of candidate genes and their potential regulatory variants, and provides additional evidence showing the role of long-range chromatin interactions in prostate cancer etiology.
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Affiliation(s)
- Meijun Du
- Department of Pathology, MCW Cancer Center, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
| | - Lori Tillmans
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, 55905, MN, USA
| | - Jianzhong Gao
- Beijing 3H Medical Technology Co. Ltd., Beijing, 100176, China
| | - Ping Gao
- Faculty of Biochemistry and Molecular Medicine and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Tiezheng Yuan
- Department of Pathology, MCW Cancer Center, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
| | - Rachel L Dittmar
- Department of Pathology, MCW Cancer Center, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
| | - Wei Song
- Faculty of Biochemistry and Molecular Medicine and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Yuehong Yang
- Faculty of Biochemistry and Molecular Medicine and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Natasha Sahr
- Division of Biostatistics, Institute for Health &Society, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
| | - Tao Wang
- Division of Biostatistics, Institute for Health &Society, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
| | - Gong-Hong Wei
- Faculty of Biochemistry and Molecular Medicine and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Stephen N Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, 55905, MN, USA
| | - Liang Wang
- Department of Pathology, MCW Cancer Center, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
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20
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Xu Z, Zhang G, Duan Q, Chai S, Zhang B, Wu C, Jin F, Yue F, Li Y, Hu M. HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants. BMC Res Notes 2016; 9:159. [PMID: 26969411 PMCID: PMC4788823 DOI: 10.1186/s13104-016-1947-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Accepted: 02/22/2016] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with complex traits and diseases. However, most of them are located in the non-protein coding regions, and therefore it is challenging to hypothesize the functions of these non-coding GWAS variants. Recent large efforts such as the ENCODE and Roadmap Epigenomics projects have predicted a large number of regulatory elements. However, the target genes of these regulatory elements remain largely unknown. Chromatin conformation capture based technologies such as Hi-C can directly measure the chromatin interactions and have generated an increasingly comprehensive catalog of the interactome between the distal regulatory elements and their potential target genes. Leveraging such information revealed by Hi-C holds the promise of elucidating the functions of genetic variants in human diseases. RESULTS In this work, we present HiView, the first integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants. HiView is able to display Hi-C data and statistical evidence for chromatin interactions in genomic regions surrounding any given GWAS variant, enabling straightforward visualization and interpretation. CONCLUSIONS We believe that as the first GWAS variants-centered Hi-C genome browser, HiView is a useful tool guiding post-GWAS functional genomics studies. HiView is freely accessible at: http://www.unc.edu/~yunmli/HiView .
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Affiliation(s)
- Zheng Xu
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA.,Department of Computer Science, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Guosheng Zhang
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA.,Curriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Qing Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Shengjie Chai
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Baqun Zhang
- School of Statistics, Renmin University of China, Beijing, 100872, China
| | - Cong Wu
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Fulai Jin
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Feng Yue
- Department of Biochemistry and Molecular Biology, Institute for Personalized Medicine, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Yun Li
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA. .,Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA. .,Department of Computer Science, University of North Carolina, Chapel Hill, NC, 27599, USA.
| | - Ming Hu
- Division of Biostatistics, Department of Population Health, New York University School of Medicine, New York, NY, 10016, USA.
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21
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Jinga V, Csiki IE, Manolescu A, Iordache P, Mates IN, Radavoi D, Rascu S, Badescu D, Badea P, Mates D. Replication study of 34 common SNPs associated with prostate cancer in the Romanian population. J Cell Mol Med 2016; 20:594-600. [PMID: 26773531 PMCID: PMC5126261 DOI: 10.1111/jcmm.12729] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 09/27/2015] [Indexed: 12/14/2022] Open
Abstract
Prostate cancer is the third‐most common form of cancer in men in Romania. The Romanian unscreened population represents a good sample to study common genetic risk variants. However, a comprehensive analysis has not been conducted yet. Here, we report our replication efforts in a Romanian population of 979 cases and 1027 controls, for potential association of 34 literature‐reported single nucleotide polymorphisms (SNPs) with prostate cancer. We also examined whether any SNP was differentially associated with tumour grade or stage at diagnosis, with disease aggressiveness, and with the levels of PSA (prostate specific antigen). In the allelic analysis, we replicated the previously reported risk for 19 loci on 4q24, 6q25.3, 7p15.2, 8q24.21, 10q11.23, 10q26.13, 11p15.5, 11q13.2, 11q13.3. Statistically significant associations were replicated for other six SNPs only with a particular disease phenotype: low‐grade tumour and low PSA levels (rs1512268), high PSA levels (rs401681 and rs11649743), less aggressive cancers (rs1465618, rs721048, rs17021918). The strongest association of our tested SNP's with PSA in controls was for rs2735839, with 29% increase for each copy of the major allele G, consistent with previous results. Our results suggest that rs4962416, previously associated only with prostate cancer, is also associated with PSA levels, with 12% increase for each copy of the minor allele C. The study enabled the replication of the effect for the majority of previously reported genetic variants in a set of clinically relevant prostate cancers. This is the first replication study on these loci, known to associate with prostate cancer, in a Romanian population.
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Affiliation(s)
- Viorel Jinga
- "Prof. Dr. Th. Burghele" Clinical Hospital, Urology Department, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
| | | | - Andrei Manolescu
- School of Science and Engineering, Reykjavik University, Reykjavik, Iceland
| | - Paul Iordache
- School of Science and Engineering, Reykjavik University, Reykjavik, Iceland
| | - Ioan Nicolae Mates
- "St Mary" Clinical Hospital, General Surgery Department, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
| | - Daniel Radavoi
- "Prof. Dr. Th. Burghele" Clinical Hospital, Urology Department, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
| | - Stefan Rascu
- "Prof. Dr. Th. Burghele" Clinical Hospital, Urology Department, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
| | - Daniel Badescu
- "Prof. Dr. Th. Burghele" Clinical Hospital, Urology Department, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
| | - Paula Badea
- National Institute of Public Health, Bucharest, Romania
| | - Dana Mates
- National Institute of Public Health, Bucharest, Romania
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22
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Gilbert R, Martin RM, Evans DM, Tilling K, Davey Smith G, Kemp JP, Lane JA, Hamdy FC, Neal DE, Donovan JL, Metcalfe C. Incorporating Known Genetic Variants Does Not Improve the Accuracy of PSA Testing to Identify High Risk Prostate Cancer on Biopsy. PLoS One 2015; 10:e0136735. [PMID: 26431041 PMCID: PMC4592274 DOI: 10.1371/journal.pone.0136735] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Accepted: 07/24/2015] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION Prostate-specific antigen (PSA) testing is a widely accepted screening method for prostate cancer, but with low specificity at thresholds giving good sensitivity. Previous research identified four single nucleotide polymorphisms (SNPs) principally associated with circulating PSA levels rather than with prostate cancer risk (TERT rs2736098, FGFR2 rs10788160, TBX3 rs11067228, KLK3 rs17632542). Removing the genetic contribution to PSA levels may improve the ability of the remaining biologically-determined variation in PSA to discriminate between high and low risk of progression within men with identified prostate cancer. We investigate whether incorporating information on the PSA-SNPs improves the discrimination achieved by a single PSA threshold in men with raised PSA levels. MATERIALS AND METHODS Men with PSA between 3-10 ng/mL and histologically-confirmed prostate cancer were categorised as high or low risk of progression (Low risk: Gleason score≤6 and stage T1-T2a; High risk: Gleason score 7-10 or stage T2C). We used the combined genetic effect of the four PSA-SNPs to calculate a genetically corrected PSA risk score. We calculated the Area under the Curve (AUC) to determine how well genetically corrected PSA risk scores distinguished men at high risk of progression from low risk men. RESULTS The analysis includes 868 men with prostate cancer (Low risk: 684 (78.8%); High risk: 184 (21.2%)). Receiver operating characteristic (ROC) curves indicate that including the 4 PSA-SNPs does not improve the performance of measured PSA as a screening tool for high/low risk prostate cancer (measured PSA level AUC = 59.5% (95% CI: 54.7,64.2) vs additionally including information from the 4 PSA-SNPs AUC = 59.8% (95% CI: 55.2,64.5) (p-value = 0.40)). CONCLUSION We demonstrate that genetically correcting PSA for the combined genetic effect of four PSA-SNPs, did not improve discrimination between high and low risk prostate cancer in men with raised PSA levels (3-10 ng/mL). Replication and gaining more accurate estimates of the effects of the 4 PSA-SNPs and additional variants associated with PSA levels and not prostate cancer could be obtained from subsequent GWAS from larger prospective studies.
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Affiliation(s)
- Rebecca Gilbert
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Richard M. Martin
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - David M. Evans
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Kate Tilling
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - John P. Kemp
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - J. Athene Lane
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Freddie C. Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - David E. Neal
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Jenny L. Donovan
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Chris Metcalfe
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
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23
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Sullivan J, Kopp R, Stratton K, Manschreck C, Corines M, Rau-Murthy R, Hayes J, Lincon A, Ashraf A, Thomas T, Schrader K, Gallagher D, Hamilton R, Scher H, Lilja H, Scardino P, Eastham J, Offit K, Vijai J, Klein RJ. An analysis of the association between prostate cancer risk loci, PSA levels, disease aggressiveness and disease-specific mortality. Br J Cancer 2015; 113:166-72. [PMID: 26068399 PMCID: PMC4647539 DOI: 10.1038/bjc.2015.199] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Revised: 04/24/2015] [Accepted: 05/05/2015] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Genome-wide association studies have identified multiple single-nucleotide polymorphsims (SNPs) associated with prostate cancer (PCa). Although these SNPs have been clearly associated with disease risk, their relationship with clinical outcomes is less clear. Our aim was to assess the frequency of known PCa susceptibility alleles within a single institution ascertainment and to correlate risk alleles with disease-specific outcomes. METHODS We genotyped 1354 individuals treated for localised PCa between June 1988 and December 2007. Blood samples were prospectively collected and de-identified before being genotyped and matched to phenotypic data. We investigated associations between 61 SNPs and disease-specific end points using multivariable analysis and also determined if SNPs were associated with PSA at diagnosis. RESULTS Seven SNPs showed associations on multivariable analysis (P<0.05), rs13385191 with both biochemical recurrence (BR) and castrate metastasis (CM), rs339331 (BR), rs1894292, rs17178655 and rs11067228 (CM), and rs11902236 and rs4857841 PCa-specific mortality. After applying a Bonferroni correction for number of SNPs (P<0.0008), the only persistent significant association was between rs17632542 (KLK3) and PSA levels at diagnosis (P=1.4 × 10(-5)). CONCLUSIONS We confirmed that rs17632542 in KLK3 is associated with PSA at diagnosis. No significant association was seen between loci and disease-specific end points when accounting for multiple testing. This provides further evidence that known PCa risk SNPs do not predict likelihood of disease progression.
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Affiliation(s)
- J Sullivan
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - R Kopp
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - K Stratton
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - C Manschreck
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - M Corines
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - R Rau-Murthy
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - J Hayes
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - A Lincon
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - A Ashraf
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - T Thomas
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - K Schrader
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - D Gallagher
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - R Hamilton
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - H Scher
- Department of Medicine, Genitourinary Medical Oncology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - H Lilja
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - P Scardino
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - J Eastham
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - K Offit
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - J Vijai
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - R J Klein
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Icahn Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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24
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Song E, Hu Y, Hussein A, Yu CY, Tang H, Mechref Y. Characterization of the Glycosylation Site of Human PSA Prompted by Missense Mutation using LC-MS/MS. J Proteome Res 2015; 14:2872-83. [PMID: 26022737 DOI: 10.1021/acs.jproteome.5b00362] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Prostate specific antigen (PSA) is currently used as a diagnostic biomarker for prostate cancer. It is a glycoprotein possessing a single glycosylation site at N69. During our previous study of PSA N69 glycosylation, additional glycopeptides were observed in the PSA sample that were not previously reported and did not match glycopeptides of impure glycoproteins existing in the sample. This extra glycosylation site of PSA is associated with a mutation in KLK3 genes. Among single nucleotide polymorphisms (SNPs) of KLKs families, the rs61752561 in KLK3 genes is an unusual missense mutation resulting in the conversion of D102 to N in PSA amino acid sequence. Accordingly, a new N-linked glycosylation site is created with an N102MS motif. Here we report the first qualitative and quantitative glycoproteomic study of PSA N102 glycosylation site by LC-MS/MS. We successfully applied tandem MS to verify the amino acid sequence possessing N102 glycosylation site and associated glycoforms of PSA samples acquired from different suppliers. Among the three PSA samples, HexNAc2Hex5 was the predominant glycoform at N102, while HexNAc4Hex5Fuc1NeuAc1 or HexNAc4Hex5Fuc1NeuAc2 was the primary glycoforms at N69. D102 is the first amino acid of "kallikrein loop", which is close to a zinc-binding site and catalytic triad. The different glycosylation of N102 relative to N69 might be influenced by the close vicinity of N102 to these functional sites and steric hindrance.
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Affiliation(s)
| | | | - Ahmed Hussein
- ∥Department of Biotechnology, Alexandria University, 163-Horreya Avenue, El-Shatby 21526, Alexandria, Egypt
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25
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Abstract
PURPOSE OF REVIEW Prostate-specific antigen (PSA) testing provides significant benefits by reducing prostate cancer mortality, but also leads to important harms by detecting clinically insignificant cancers. Hence, there are urgent needs for complementary tools for middle-aged men with modest PSA elevations in blood. This review includes research on prostate cancer biomarkers in blood published from March 2013 through August 2014. RECENT FINDINGS Research progress has been made mainly on PSA as a predictive marker and in the field of kallikrein-based tests: [-2] proPSA, the prostate health index, and a panel of four kallikrein markers. As men with PSA levels below age-median are at very low 20-year risk of metastatic prostate cancer, individualized screening intervals, based on PSA levels, may help in reducing screening costs, prostate biopsies, and detection of insignificant cancer. Statistical models based on kallikrein-markers in blood improve the specificity at modestly elevated PSA (2-10 ng/ml), eliminate unnecessary biopsies, and help selecting men at risk of significant prostate cancer for biopsy or imaging. SUMMARY Individualized, risk-adapted PSA testing intervals and reflex-testing of kallikrein-markers for men with modestly increased PSA values may decrease the harms of screening. However, the clinical value of the proposed testing algorithms and additional tests awaits definitive confirmation in prospective trials.
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Affiliation(s)
- Ola Bratt
- Nuffield Department of Surgical Sciences, University of Oxford, United Kingdom
- Department of Clinical Sciences, Lund University, Sweden
| | - Hans Lilja
- Nuffield Department of Surgical Sciences, University of Oxford, United Kingdom
- Department of Laboratory Medicine in Malmö, Lund University, Sweden
- Departments of Laboratory Medicine, Surgery (Urology), and Medicine (GU-Oncology), Memorial Sloan-Kettering Cancer Center, New York, NY, USA
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