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Podocalyxin in Normal Tissue and Epithelial Cancer. Cancers (Basel) 2021; 13:cancers13122863. [PMID: 34201212 PMCID: PMC8227556 DOI: 10.3390/cancers13122863] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 05/31/2021] [Accepted: 06/02/2021] [Indexed: 12/13/2022] Open
Abstract
Podocalyxin (PODXL), a glycosylated cell surface sialomucin of the CD34 family, is normally expressed in kidney podocytes, vascular endothelial cells, hematopoietic progenitors, mesothelium, as well as a subset of neurons. In the kidney, PODXL functions primarily as an antiadhesive molecule in podocyte epithelial cells, regulating adhesion and cell morphology, and playing an essential role in the development and function of the organ. Outside the kidney, PODXL plays subtle roles in tissue remodelling and development. Furthermore, many cancers, especially those that originated from the epithelium, have been reported to overexpress PODXL. Collective evidence suggests that PODXL overexpression is linked to poor prognosis, more aggressive tumour progression, unfavourable treatment outcomes, and possibly chemoresistance. This review summarises our current knowledge of PODXL in normal tissue function and epithelial cancer, with a particular focus on its underlying roles in cancer metastasis, likely involvement in chemoresistance, and potential use as a diagnostic and prognostic biomarker.
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Saunders EJ, Kote-Jarai Z, Eeles RA. Identification of Germline Genetic Variants that Increase Prostate Cancer Risk and Influence Development of Aggressive Disease. Cancers (Basel) 2021; 13:760. [PMID: 33673083 PMCID: PMC7917798 DOI: 10.3390/cancers13040760] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 12/15/2022] Open
Abstract
Prostate cancer (PrCa) is a heterogeneous disease, which presents in individual patients across a diverse phenotypic spectrum ranging from indolent to fatal forms. No robust biomarkers are currently available to enable routine screening for PrCa or to distinguish clinically significant forms, therefore late stage identification of advanced disease and overdiagnosis plus overtreatment of insignificant disease both remain areas of concern in healthcare provision. PrCa has a substantial heritable component, and technological advances since the completion of the Human Genome Project have facilitated improved identification of inherited genetic factors influencing susceptibility to development of the disease within families and populations. These genetic markers hold promise to enable improved understanding of the biological mechanisms underpinning PrCa development, facilitate genetically informed PrCa screening programmes and guide appropriate treatment provision. However, insight remains largely lacking regarding many aspects of their manifestation; especially in relation to genes associated with aggressive phenotypes, risk factors in non-European populations and appropriate approaches to enable accurate stratification of higher and lower risk individuals. This review discusses the methodology used in the elucidation of genetic loci, genes and individual causal variants responsible for modulating PrCa susceptibility; the current state of understanding of the allelic spectrum contributing to PrCa risk; and prospective future translational applications of these discoveries in the developing eras of genomics and personalised medicine.
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Affiliation(s)
- Edward J. Saunders
- The Institute of Cancer Research, London SM2 5NG, UK; (Z.K.-J.); (R.A.E.)
| | - Zsofia Kote-Jarai
- The Institute of Cancer Research, London SM2 5NG, UK; (Z.K.-J.); (R.A.E.)
| | - Rosalind A. Eeles
- The Institute of Cancer Research, London SM2 5NG, UK; (Z.K.-J.); (R.A.E.)
- Royal Marsden NHS Foundation Trust, London SW3 6JJ, UK
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Darst BF, Dadaev T, Saunders E, Sheng X, Wan P, Pooler L, Xia LY, Chanock S, Berndt SI, Gapstur SM, Stevens V, Albanes D, Weinstein SJ, Gnanapragasam V, Giles GG, Nguyen-Dumont T, Milne RL, Pomerantz M, Schmidt JA, Mucci L, Catalona WJ, Hetrick KN, Doheny KF, MacInnis RJ, Southey MC, Eeles RA, Wiklund F, Kote-Jarai Z, Conti DV, Haiman CA. Germline Sequencing DNA Repair Genes in 5545 Men With Aggressive and Nonaggressive Prostate Cancer. J Natl Cancer Inst 2020; 113:616-625. [PMID: 32853339 DOI: 10.1093/jnci/djaa132] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 07/27/2020] [Accepted: 08/20/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND There is an urgent need to identify factors specifically associated with aggressive prostate cancer (PCa) risk. We investigated whether rare pathogenic, likely pathogenic, or deleterious (P/LP/D) germline variants in DNA repair genes are associated with aggressive PCa risk in a case-case study of aggressive vs nonaggressive disease. METHODS Participants were 5545 European-ancestry men, including 2775 nonaggressive and 2770 aggressive PCa cases, which included 467 metastatic cases (16.9%). Samples were assembled from 12 international studies and germline sequenced together. Rare (minor allele frequency < 0.01) P/LP/D variants were analyzed for 155 DNA repair genes. We compared single variant, gene-based, and DNA repair pathway-based burdens by disease aggressiveness. All statistical tests are 2-sided. RESULTS BRCA2 and PALB2 had the most statistically significant gene-based associations, with 2.5% of aggressive and 0.8% of nonaggressive cases carrying P/LP/D BRCA2 alleles (odds ratio [OR] = 3.19, 95% confidence interval [CI] = 1.94 to 5.25, P = 8.58 × 10-7) and 0.65% of aggressive and 0.11% of nonaggressive cases carrying P/LP/D PALB2 alleles (OR = 6.31, 95% CI = 1.83 to 21.68, P = 4.79 × 10-4). ATM had a nominal association, with 1.6% of aggressive and 0.8% of nonaggressive cases carrying P/LP/D ATM alleles (OR = 1.88, 95% CI = 1.10 to 3.22, P = .02). In aggregate, P/LP/D alleles within 24 literature-curated candidate PCa DNA repair genes were more common in aggressive than nonaggressive cases (carrier frequencies = 14.2% vs 10.6%, respectively; P = 5.56 × 10-5). However, this difference was non-statistically significant (P = .18) on excluding BRCA2, PALB2, and ATM. Among these 24 genes, P/LP/D carriers had a 1.06-year younger diagnosis age (95% CI = -1.65 to 0.48, P = 3.71 × 10-4). CONCLUSIONS Risk conveyed by DNA repair genes is largely driven by rare P/LP/D alleles within BRCA2, PALB2, and ATM. These findings support the importance of these genes in both screening and disease management considerations.
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Affiliation(s)
- Burcu F Darst
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Ed Saunders
- The Institute of Cancer Research, London, UK
| | - Xin Sheng
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Peggy Wan
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loreall Pooler
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lucy Y Xia
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Stephen Chanock
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sonja I Berndt
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Demetrius Albanes
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Vincent Gnanapragasam
- Department of Surgery and Oncology, Academic Urology Group, University of Cambridge, Cambridge, UK
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia
| | - Tu Nguyen-Dumont
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia.,Department of Clinical Pathology, The University of Melbourne, Victoria, Australia
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia
| | | | | | | | | | - Kurt N Hetrick
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kimberly F Doheny
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia.,Department of Clinical Pathology, The University of Melbourne, Victoria, Australia
| | - Rosalind A Eeles
- The Institute of Cancer Research, London, UK.,The Royal Marsden NHS Foundation Trust, London, UK
| | | | | | - David V Conti
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Berndt SI, Wang Z, Yeager M, Alavanja MC, Albanes D, Amundadottir L, Andriole G, Beane Freeman L, Campa D, Cancel-Tassin G, Canzian F, Cornu JN, Cussenot O, Diver WR, Gapstur SM, Grönberg H, Haiman CA, Henderson B, Hutchinson A, Hunter DJ, Key TJ, Kolb S, Koutros S, Kraft P, Le Marchand L, Lindström S, Machiela MJ, Ostrander EA, Riboli E, Schumacher F, Siddiq A, Stanford JL, Stevens VL, Travis RC, Tsilidis KK, Virtamo J, Weinstein S, Wilkund F, Xu J, Lilly Zheng S, Yu K, Wheeler W, Zhang H, Sampson J, Black A, Jacobs K, Hoover RN, Tucker M, Chanock SJ. Two susceptibility loci identified for prostate cancer aggressiveness. Nat Commun 2015; 6:6889. [PMID: 25939597 PMCID: PMC4422072 DOI: 10.1038/ncomms7889] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2014] [Accepted: 03/10/2015] [Indexed: 01/06/2023] Open
Abstract
Most men diagnosed with prostate cancer will experience indolent disease; hence, discovering genetic variants that distinguish aggressive from nonaggressive prostate cancer is of critical clinical importance for disease prevention and treatment. In a multistage, case-only genome-wide association study of 12,518 prostate cancer cases, we identify two loci associated with Gleason score, a pathological measure of disease aggressiveness: rs35148638 at 5q14.3 (RASA1, P=6.49 × 10(-9)) and rs78943174 at 3q26.31 (NAALADL2, P=4.18 × 10(-8)). In a stratified case-control analysis, the SNP at 5q14.3 appears specific for aggressive prostate cancer (P=8.85 × 10(-5)) with no association for nonaggressive prostate cancer compared with controls (P=0.57). The proximity of these loci to genes involved in vascular disease suggests potential biological mechanisms worthy of further investigation.
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Affiliation(s)
- Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Zhaoming Wang
- 1] Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA [2] Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland 21701, USA
| | - Meredith Yeager
- 1] Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA [2] Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland 21701, USA
| | - Michael C Alavanja
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Laufey Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Gerald Andriole
- Division of Urologic Surgery, Washington University School of Medicine, St Louis, Missouri 63110, USA
| | - Laura Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Daniele Campa
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | | | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Jean-Nicolas Cornu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Olivier Cussenot
- CeRePP, Assistance Publique-Hôpitaux de Paris, UPMC University Paris 6, Paris, France
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm 17177, Sweden
| | - Christopher A Haiman
- Department of Preventative Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California 90033, USA
| | - Brian Henderson
- Department of Preventative Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California 90033, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland 21701, USA
| | - David J Hunter
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - Suzanne Kolb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, USA
| | - Sara Lindström
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Elaine A Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London SW7 2AZ, UK
| | - Fred Schumacher
- Department of Preventative Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California 90033, USA
| | - Afshan Siddiq
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Janet L Stanford
- 1] Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA [2] Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington 98195, USA
| | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina 45110, Greece
| | - Jarmo Virtamo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Fredrik Wilkund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm 17177, Sweden
| | - Jianfeng Xu
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - S Lilly Zheng
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - William Wheeler
- Information Management Services Inc., Rockville, Maryland 20852, USA
| | - Han Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Kevin Jacobs
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
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Ledet EM, Hu X, Sartor O, Rayford W, Li M, Mandal D. Characterization of germline copy number variation in high-risk African American families with prostate cancer. Prostate 2013; 73:614-23. [PMID: 23060098 DOI: 10.1002/pros.22602] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2012] [Accepted: 09/10/2012] [Indexed: 01/24/2023]
Abstract
BACKGROUND Prostate cancer is a complex multi-allelic disease and the most common malignancy in men. The incidence of prostate cancer in African American men is more than twice as high as that of any other race. Despite the high prevalence of prostate cancer amongst African American men, this population has been under represented in genetic studies of prostate cancer. Although genomic copy number variations (CNVs) have been detected in prostate tumors, this is the first study describing germline CNVs in African American hereditary prostate cancer families. METHODS Ten high-risk African American families with three or more affected individuals and with an early age of onset were recruited. From these families, 37 individuals, including 23 affected males, and 14 unaffected males, were selected for CNV analysis. Array comparative genomic hybridization was used to characterize germline CNVs unique to African American men with hereditary prostate cancer. RESULTS Through common aberration analysis in affected family members; novel CNVs were identified at chromosomes 1p36.13 and 16q23.3. Differential analysis comparing affected and unaffected family members identified 9.4 kb duplication on chromosome 14q32.33 which segregate with prostate cancer patients in these high-risk families. CONCLUSIONS The duplication at 14q32.33 encompasses IGHG3 gene which has been shown to have both significant gains in copy number as well as overexpression in prostate tumors in African Americans. These CNVs may represent a component of genetic predisposition which contributes to the high prevalence and mortality of prostate cancer in African American men.
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Affiliation(s)
- Elisa M Ledet
- Department of Genetics, Louisiana State University Health Sciences Center, New Orleans, Louisiana 70112, USA
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Variants in the HEPSIN gene are associated with susceptibility to prostate cancer. Prostate Cancer Prostatic Dis 2012; 15:353-8. [PMID: 22665141 DOI: 10.1038/pcan.2012.17] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND HEPSIN (HPN) gene is one of the most consistently overexpressed genes in patients with prostate cancer; furthermore, there is some evidence supporting an association between HPN gene variants and the risk of developing prostate cancer. In this study, sequence variants in the HPN gene were investigated to determine whether they were associated with prostate cancer risk in a Korean study cohort. METHODS We evaluated the association of 17 single-nucleotide polymorphisms (SNPs) in the HPN gene with prostate cancer risk and clinical characteristics (Gleason score and tumor stage) in Korean men (240 case subjects and 223 control subjects) using unconditional logistic regression. RESULTS The statistical analysis suggested that three SNPs (rs45512696, rs2305745, rs2305747) were significantly associated with the risk of prostate cancer (odds ratio (OR)=2.22, P=0.04; OR=0.73, P=0.03; OR=0.76, P=0.05, respectively). CONCLUSIONS The results of this study suggest that, in Korean men, some polymorphisms in the HPN gene might be associated with the risk of developing prostate cancer.
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Replication and fine mapping for association of the C2orf43, FOXP4, GPRC6A and RFX6 genes with prostate cancer in the Chinese population. PLoS One 2012; 7:e37866. [PMID: 22662242 PMCID: PMC3360662 DOI: 10.1371/journal.pone.0037866] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2012] [Accepted: 04/26/2012] [Indexed: 11/19/2022] Open
Abstract
Background Prostate cancer represents the leading cause of male death across the world. A recent genome-wide association study (GWAS) identified five novel susceptibility loci for prostate cancer in the Japanese population. This study is to replicate and fine map the potential association of these five loci with prostate cancer in the Chinese Han population. Methods In Phase I of the study, we tested the five single nucleotide polymorphisms (SNPs) which showed the strongest association evidence in the original GWAS in Japanese. The study sample consists of 1,169 Chinese Hans, comprising 483 patients and 686 healthy controls. Then in phase II, flanking SNPs of the successfully replicated SNPs in Phase I were genotyped and tested for association with prostate cancer to fine map those significant association signals. Results We successfully replicated the association of rs13385191 (located in the C2orf43 gene, P = 8.60×10−5), rs12653946 (P = 1.33×10−6), rs1983891 (FOXP4, P = 6.22×10−5), and rs339331 (GPRC6A/RFX6, P = 1.42×10−5) with prostate cancer. The most significant odds ratio (OR) was recorded as 1.41 (95% confidence interval 1.18–1.68) for rs12653946. Rs9600079 did not show significant association (P = 8.07×10−2) with prostate cancer in this study. The Phase II study refined these association signals, and identified several SNPs showing more significant association with prostate cancer than the very SNPs tested in Phase I. Conclusions Our results provide further support for association of the C2orf43, FOXP4, GPRC6A and RFX6 genes with prostate cancer in Eastern Asian populations. This study also characterized the novel loci reported in the original GWAS with more details. Further work is still required to determine the functional variations and finally clarify the underlying biological mechanisms.
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Schumacher FR, Berndt SI, Siddiq A, Jacobs KB, Wang Z, Lindstrom S, Stevens VL, Chen C, Mondul AM, Travis RC, Stram DO, Eeles RA, Easton DF, Giles G, Hopper JL, Neal DE, Hamdy FC, Donovan JL, Muir K, Al Olama AA, Kote-Jarai Z, Guy M, Severi G, Grönberg H, Isaacs WB, Karlsson R, Wiklund F, Xu J, Allen NE, Andriole GL, Barricarte A, Boeing H, Bas Bueno-de-Mesquita H, Crawford ED, Diver WR, Gonzalez CA, Gaziano JM, Giovannucci EL, Johansson M, Le Marchand L, Ma J, Sieri S, Stattin P, Stampfer MJ, Tjonneland A, Vineis P, Virtamo J, Vogel U, Weinstein SJ, Yeager M, Thun MJ, Kolonel LN, Henderson BE, Albanes D, Hayes RB, Spencer Feigelson H, Riboli E, Hunter DJ, Chanock SJ, Haiman CA, Kraft P. Genome-wide association study identifies new prostate cancer susceptibility loci. Hum Mol Genet 2011; 20:3867-75. [PMID: 21743057 PMCID: PMC3168287 DOI: 10.1093/hmg/ddr295] [Citation(s) in RCA: 141] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2011] [Revised: 06/18/2011] [Accepted: 06/27/2011] [Indexed: 12/18/2022] Open
Abstract
Prostate cancer (PrCa) is the most common non-skin cancer diagnosed among males in developed countries and the second leading cause of cancer mortality, yet little is known regarding its etiology and factors that influence clinical outcome. Genome-wide association studies (GWAS) of PrCa have identified at least 30 distinct loci associated with small differences in risk. We conducted a GWAS in 2782 advanced PrCa cases (Gleason grade ≥ 8 or tumor stage C/D) and 4458 controls with 571 243 single nucleotide polymorphisms (SNPs). Based on in silico replication of 4679 SNPs (Stage 1, P < 0.02) in two published GWAS with 7358 PrCa cases and 6732 controls, we identified a new susceptibility locus associated with overall PrCa risk at 2q37.3 (rs2292884, P= 4.3 × 10(-8)). We also confirmed a locus suggested by an earlier GWAS at 12q13 (rs902774, P= 8.6 × 10(-9)). The estimated per-allele odds ratios for these loci (1.14 for rs2292884 and 1.17 for rs902774) did not differ between advanced and non-advanced PrCa (case-only test for heterogeneity P= 0.72 and P= 0.61, respectively). Further studies will be needed to assess whether these or other loci are differentially associated with PrCa subtypes.
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Affiliation(s)
- Fredrick R. Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Kevin B. Jacobs
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Core Genotyping Facility, SAIC-Frederick Inc., NCI-Frederick, Frederick, MD, USA
- Bioinformed Consulting Services, Gaithersburg, MD, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Core Genotyping Facility, SAIC-Frederick Inc., NCI-Frederick, Frederick, MD, USA
| | - Sara Lindstrom
- Program in Molecular and Genetic Epidemiology
- Department of Epidemiology and
| | | | - Constance Chen
- Program in Molecular and Genetic Epidemiology
- Department of Epidemiology and
| | - Alison M. Mondul
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ruth C. Travis
- Cancer Epidemiology Unit
- Nuffield Department of Clinical Medicine and
| | - Daniel O. Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology
- Department of Public Health
- Department of Primary Care and
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Graham Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Victoria, Australia
| | - John L. Hopper
- Centre for Molecular, Environmental, Genetic and Analytic (MEGA) Epidemiology, Melbourne School of Population Health, The University of Melbourne, Melbourne, Australia
| | - David E. Neal
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Freddie C. Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Jenny L. Donovan
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Kenneth Muir
- Health Sciences Research Institute, University of Warwick, Coventry, UK
| | - Ali Amin Al Olama
- Centre for Cancer Genetic Epidemiology
- Department of Public Health
- Department of Primary Care and
| | | | - Michelle Guy
- Oncogenetics Team, The Institute of Cancer Research, Sutton, UK
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria, Victoria, Australia
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - William B. Isaacs
- The Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jianfeng Xu
- Centers for Cancer Genomics and Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Naomi E. Allen
- Cancer Epidemiology Unit
- Nuffield Department of Clinical Medicine and
| | - Gerald L. Andriole
- Division of Urologic Surgery, Washington University School of Medicine, St Louis, MO, USA
| | | | - Heiner Boeing
- Department of Epidemiology, Deutsches Institut für Ernährungsforschung, Potsdam-Rehbrücke, Germany
| | | | | | - W. Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Carlos A. Gonzalez
- Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology (ICO-IDIBELL-RETICC RD06/0020), L'Hospitalet de Llobregat, Barcelona, Spain
| | - J. Michael Gaziano
- Division of Aging and
- Massachusetts Veterans Epidemiology Research and Information Center/VA Cooperative Studies Programs, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Edward L. Giovannucci
- Department of Epidemiology and
- Department of Nutrition, Harvard School of Public Health, Boston 02115, MA, USA
| | - Mattias Johansson
- International Agency for Research on Cancer (IARC), Lyon, France
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
| | - Loic Le Marchand
- Cancer Research Center of Hawaii, University of Hawaii, Honolulu, HI, USA
| | - Jing Ma
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Channing Laboratory, Boston, MA, USA
| | - Sabina Sieri
- Nutritional Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Pär Stattin
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
| | - Meir J. Stampfer
- Department of Epidemiology and
- Department of Nutrition, Harvard School of Public Health, Boston 02115, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Channing Laboratory, Boston, MA, USA
| | - Anne Tjonneland
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
| | - Paolo Vineis
- MRC-HPA Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Jarmo Virtamo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Ulla Vogel
- National Research Centre for the Working Environment, Copenhagen, Denmark
- National Food Institute, Technical University of Denmark, Soborg, Denmark
| | - Stephanie J. Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Michael J. Thun
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | | | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Richard B. Hayes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Division of Epidemiology, Department of Environmental Medicine, New York University Langone Medical Center, NYU Cancer Institute, New York, NY, USA and
| | | | - Elio Riboli
- Department of Epidemiology and Biostatistics and
| | - David J. Hunter
- Program in Molecular and Genetic Epidemiology
- Department of Epidemiology and
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Peter Kraft
- Program in Molecular and Genetic Epidemiology
- Department of Epidemiology and
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9
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Liu X, Cheng I, Plummer SJ, Suarez B, Casey G, Catalona WJ, Witte JS. Fine-mapping of prostate cancer aggressiveness loci on chromosome 7q22-35. Prostate 2011; 71:682-9. [PMID: 20945404 PMCID: PMC3027848 DOI: 10.1002/pros.21284] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2010] [Accepted: 08/31/2010] [Indexed: 01/10/2023]
Abstract
BACKGROUND Deciphering the genetic basis of prostate cancer aggressiveness could provide valuable information for the screening and treatment of this common but complex disease. We previously detected linkage between a broad region on chromosome 7q22-35 and Gleason score-a strong predictor of prostate cancer aggressiveness. To further clarify this finding and focus on the potentially causative gene, we undertook a fine-mapping study across the 7q22-35 region. METHODS Our study population encompassed 698 siblings diagnosed with prostate cancer. 3,072 single nucleotide polymorphisms (SNPs) spanning the chromosome 7q22-35 region were genotyped using the Illumina GoldenGate assay. The impact of SNPs on Gleason scores were evaluated using affected sibling pair linkage and family-based association tests. RESULTS We confirmed the previous linkage signal and narrowed the 7q22-35 prostate cancer aggressiveness locus to a 370 kb region. Centered under the linkage peak is the gene KLRG2 (killer cell lectin-like receptor subfamily G, member 2). Association tests indicated that the potentially functional non-synonymous SNP rs17160911 in KLRG2 was significantly associated with Gleason score (P = 0.0007). CONCLUSIONS These findings suggest that genetic variants in the gene KLRG2 may affect Gleason score at diagnosis and hence the aggressiveness of prostate cancer.
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Affiliation(s)
- Xin Liu
- Mary Ann and J. Milburn Smith Child Health Research Program, Department of Pediatrics, Northwestern University Feinberg School of Medicine and Children's Memorial Hospital and Children's Memorial Research Center, Chicago, IL, USA
| | - Iona Cheng
- Epidemiology Program, Cancer Research Center of Hawai`i, University of Hawai`i, Honolulu, HI 96813, USA
| | - Sarah J Plummer
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Brian Suarez
- Department of Genetics, Washington University, 660 South Euclid, St. Louis, Missouri 63110, USA
| | - Graham Casey
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - William J. Catalona
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - John S. Witte
- Departments of Epidemiology & Biostatistics and Urology, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94158-9001, USA
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10
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Cropp CD, Simpson CL, Wahlfors T, Ha N, George A, Jones MS, Harper U, Ponciano-Jackson D, Green TA, Tammela TLJ, Bailey-Wilson J, Schleutker J. Genome-wide linkage scan for prostate cancer susceptibility in Finland: evidence for a novel locus on 2q37.3 and confirmation of signal on 17q21-q22. Int J Cancer 2011; 129:2400-7. [PMID: 21207418 DOI: 10.1002/ijc.25906] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2010] [Revised: 11/20/2010] [Accepted: 12/10/2010] [Indexed: 12/31/2022]
Abstract
Genome-wide linkage studies have been used to localize rare and highly penetrant prostate cancer (PRCA) susceptibility genes. Linkage studies performed in different ethnic backgrounds and populations have been somewhat disparate, resulting in multiple, often irreproducible signals because of genetic heterogeneity and high sporadic background of the disease. Our first genome-wide linkage study and subsequent fine-mapping study of Finnish hereditary prostate cancer (HPC) families gave evidence of linkage to one region. Here, we conducted subsequent scans with microsatellites and SNPs in a total of 69 Finnish HPC families. GENEHUNTER-PLUS was used for parametric and nonparametric analyses. Our microsatellite genome-wide linkage study provided evidence of linkage to 17q12-q23, with a heterogeneity LOD (HLOD) score of 3.14 in a total of 54 of the 69 families. Genome-wide SNP analysis of 59 of the 69 families gave a highest HLOD score of 3.40 at 2q37.3 under a dominant high penetrance model. Analyzing all 69 families by combining microsatellite and SNP maps also yielded HLOD scores of > 3.3 in two regions (2q37.3 and 17q12-q21.3). These significant linkage peaks on chromosome 2 and 17 confirm previous linkage evidence of a locus on 17q from other populations and provide a basis for continued research into genetic factors involved in PRCA. Fine-mapping analysis of these regions is ongoing and candidate genes at linked loci are currently under analysis.
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Affiliation(s)
- Cheryl D Cropp
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
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11
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Penney KL, Pyne S, Schumacher FR, Sinnott JA, Mucci LA, Kraft PL, Ma J, Oh WK, Kurth T, Kantoff PW, Giovannucci EL, Stampfer MJ, Hunter DJ, Freedman ML. Genome-wide association study of prostate cancer mortality. Cancer Epidemiol Biomarkers Prev 2010; 19:2869-76. [PMID: 20978177 DOI: 10.1158/1055-9965.epi-10-0601] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND A pressing clinical issue in prostate cancer is to distinguish which men will have an indolent or aggressive course of disease. Clinical variables such as Gleason grade and stage are useful predictors of lethal cancer; however, the low predictive values of the common Gleason scores, changes in grading over time, and earlier diagnosis of patients due to screening limits their clinical utility. Identifying genetic variants associated with lethal prostate cancer could inform clinical decision making. METHODS We conducted a genome-wide association study, comparing lethal prostate cancer cases to cases surviving at least 10 years beyond their initial diagnosis. Genotyping was done with the Affymetrix 5.0 chip [∼500,000 single nucleotide polymorphisms (SNP) and 1,483 copy number variants (CNV)] on DNA from participants in the Physicians' Health Study and Health Professionals Follow-up Study (196 lethal cases, 368 long-term survivors). After excluding SNPs and individuals based on quality control criteria, logistic regression assuming an additive model was done using the PLINK software. RESULTS No SNP reached genome-wide significance (P ≤ 1 × 10(-7)); however, three independent SNPs had P < 1 × 10(-5). One top-ranked SNP replicated (P = 0.05) in an independent follow-up study. Although no CNV had genome-wide significance, 14 CNVs showed nominal association with prostate cancer mortality (P < 0.05). CONCLUSIONS No variants were significantly associated at a genome-wide level with prostate cancer mortality. Common genetic determinants of lethal prostate cancer are likely to have odds ratios <2.0. IMPACT Genetic markers identified could provide biological insight to improve therapy for men with potentially fatal cancer. Larger studies are necessary to detect the genetic causes of prostate cancer mortality.
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Affiliation(s)
- Kathryn L Penney
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
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12
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Holt SK, Kwon EM, Lin DW, Ostrander EA, Stanford JL. Association of hepsin gene variants with prostate cancer risk and prognosis. Prostate 2010; 70:1012-9. [PMID: 20166135 PMCID: PMC2875316 DOI: 10.1002/pros.21135] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Hepsin (HPN) is one of the most consistently overexpressed genes in prostate cancer and there is some evidence supporting an association between HPN gene variants and prostate cancer risk. We report results from a population-based case-control genetic association study for six tagging single nucleotide polymorphisms (tagSNPs) in the HPN gene. METHODS Prostate cancer risk was estimated using adjusted unconditional logistic regression in 1,401 incident prostate cancer cases diagnosed in 1993 through 1996 or 2002 through 2005 and 1,351 age-matched controls. Risks of disease recurrence/progression and prostate cancer-specific mortality were estimated using Cox proportional hazards (PH) regression in 437 cases with long-term follow-up. RESULTS There were 135 recurrence/progression events and 57 cases who died of prostate cancer. Contrary to some earlier studies, we found no evidence of altered risk of developing prostate cancer overall or when clinical measures of tumor aggressiveness were considered for any of the tagSNPs, assessed either individually or by haplotypes. There was no evidence of altered risks of tumor recurrence/progression or prostate cancer death associated with variants in the HPN gene. CONCLUSIONS Germline genetic variation of HPN does not seem to contribute to risk of prostate cancer or prognosis.
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Affiliation(s)
- Sarah K Holt
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
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13
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Fitzgerald LM, McDonnell SK, Carlson EE, Langeberg W, McIntosh LM, Deutsch K, Ostrander EA, Schaid DJ, Stanford JL. Genome-wide linkage analyses of hereditary prostate cancer families with colon cancer provide further evidence for a susceptibility locus on 15q11-q14. Eur J Hum Genet 2010; 18:1141-7. [PMID: 20407467 DOI: 10.1038/ejhg.2010.49] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The search for susceptibility loci in hereditary prostate cancer (HPC) is challenging because of locus and disease heterogeneity. One approach to reduce disease heterogeneity is to stratify families on the basis of the occurrence of multiple cancer types. This method may increase the power for detecting susceptibility loci, including those with pleiotropic effects. We have completed a genome-wide SNP linkage analysis of 96 HPC families, each of which has one or more first-degree relatives with colon cancer (CCa), and further analyzed the subset of families with two or more CCa cases (n = 27). When only a prostate cancer (PCa) phenotype was considered to be affected, we observed suggestive evidence for linkage (LOD ≥1.86) at 15q14, 18q21 and 19q13 in all families, and at 1p32 and 15q11-q14 in families with two or more CCa cases. When both the PCa and CCa phenotypes were considered affected, suggestive evidence for linkage was observed at 11q25, 15q14 and 18q21 in all families, and at 1q31, 11q14 and 15q11-14 in families with two or more CCa cases. The strongest linkage signal was identified at 15q14 when both PCa and CCa phenotypes were considered to be affected in families with two or more CCa cases (recessive HLOD = 3.88). These results provide further support for the presence of HPC susceptibility loci on chromosomes 11q14, 15q11-q14 and 19q13 and highlight loci at 1q31, 11q, 15q11-14 and 18q21 as having possible pleiotropic effects. This study shows the benefit of using a comprehensive family cancer history to create more genetically homogenous subsets of HPC families for linkage analyses.
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Affiliation(s)
- Liesel M Fitzgerald
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
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14
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Bock CH, Schwartz AG, Ruterbusch JJ, Levin AM, Neslund-Dudas C, Land SJ, Wenzlaff AS, Reich D, McKeigue P, Chen W, Heath EI, Powell IJ, Kittles RA, Rybicki BA. Results from a prostate cancer admixture mapping study in African-American men. Hum Genet 2009; 126:637-42. [PMID: 19568772 PMCID: PMC2975267 DOI: 10.1007/s00439-009-0712-z] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2009] [Accepted: 06/21/2009] [Indexed: 11/24/2022]
Abstract
There are considerable racial disparities in prostate cancer risk, with a 60% higher incidence rate among African-American (AA) men compared with European-American (EA) men, and a 2.4-fold higher mortality rate in AA men than in EA men. Recently, studies have implicated several African-ancestry associated prostate cancer susceptibility loci on chromosome 8q24. In the current study, we performed admixture mapping in AA men from two independent case-control studies of prostate cancer to confirm the 8q24 ancestry association and also identify other genomic regions that may harbor prostate cancer susceptibility genes. A total of 482 cases and 261 controls were genotyped for 1,509 ancestry informative markers across the genome. The mean estimated individual admixture proportions were 20% European and 80% African. The most significant observed increase in European ancestry occurred at rs2141360 on chromosome 7q31 in both the case-only (P = 0.0000035) and case-control analyses. The most significant observed increase in African ancestry across the genome occurred at a locus on chromosome 5q35 identified by SNPs rs7729084 (case-only analysis P = 0.002), and rs12474977 (case-control analysis P = 0.004), which are separated by 646 kb and were adjacent to one another on the panel. On chromosome 8, rs4367565 was associated with the greatest excess African ancestry in both the case-only and case-control analyses (case-only and case-control P = 0.02), confirming previously reported African-ancestry associations with chromosome 8q24. In conclusion, we confirmed ancestry associations on 8q24, and identified additional ancestry-associated regions potentially harboring prostate cancer susceptibility loci.
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15
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Abstract
Podocalyxin, a sialomucin most closely related to CD34 and endoglycan, is expressed by kidney podocytes, hematopoietic progenitors, vascular endothelia, and a subset of neurons; aberrant expression has recently been implicated in a range of cancers. Through interactions with several intracellular proteins and at least one extracellular ligand, podocalyxin regulates both adhesion and cell morphology. In the developing kidney, podocalyxin plays an essential role in the formation and maintenance of podocyte foot processes, and its absence results in perinatal lethality. Podocalyxin expression in the hematopoietic system correlates with cell migration and the seeding of new hematopoietic tissues. In addition, it is abnormally expressed in subsets of breast, prostate, liver, pancreatic, and kidney cancer as well as leukemia. Strikingly, it is often associated with the most aggressive cases, and it is likely involved in metastasis. Thus, a thorough investigation of the normal activities of podocalyxin may facilitate the development of new cancer treatment strategies.
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Affiliation(s)
- Julie S Nielsen
- The Biomedical Research Centre, Vancouver, British Columbia, Canada
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16
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Breyer JP, McReynolds KM, Yaspan BL, Bradley KM, Dupont WD, Smith JR. Genetic variants and prostate cancer risk: candidate replication and exploration of viral restriction genes. Cancer Epidemiol Biomarkers Prev 2009; 18:2137-44. [PMID: 19567509 DOI: 10.1158/1055-9965.epi-08-1223] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
The genetic variants underlying the strong heritable component of prostate cancer remain largely unknown. Genome-wide association studies of prostate cancer have yielded several variants that have significantly replicated across studies, predominantly in cases unselected for family history of prostate cancer. Additional candidate gene variants have also been proposed, many evaluated within familial prostate cancer study populations. Such variants hold great potential value for risk stratification, particularly for early-onset or aggressive prostate cancer, given the comorbidities associated with current therapies. Here, we investigate a Caucasian study population of 523 independent familial prostate cancer cases and 523 age-matched controls without a personal or family history of prostate cancer. We replicate identified associations at genome-wide association study loci 8q24, 11q13, and 2p15 (P = 2.9 x 10(-4) to P = 4.7 x 10(-5)), showing study population power. We also find evidence to support reported associations at candidate genes RNASEL, EZH2, and NKX3-1 (P = 0.031 to P = 0.0085). We further explore a set of candidate genes related to RNASEL and to its role in retroviral restriction, identifying nominal associations at XPR1 and RBM9. The effects at 8q24 seem more pronounced for those diagnosed at an early age, whereas at 2p15 and RNASEL the effects were more pronounced at a later age. However, these trends did not reach statistical significance. The effects at 2p15 were statistically significantly more pronounced for those diagnosed with aggressive disease.
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Affiliation(s)
- Joan P Breyer
- Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232-0275, USA
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17
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Linkage of atopic dermatitis to chromosomes 4q22, 3p24 and 3q21. Hum Genet 2009; 126:549-57. [PMID: 19517137 DOI: 10.1007/s00439-009-0692-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2008] [Accepted: 05/25/2009] [Indexed: 10/20/2022]
Abstract
Atopic dermatitis (AD) is a common, itchy skin disease of complex inheritance characterized by dermal and epidermal inflammation. The heritability is considerable and well documented. To date, four genome scans have examined the AD phenotype, showing replicated linkage at 3p26-22, 3q13-21 and 18q11-21. Our previous AD scan showed evidence of linkage to loci at 3p and 18q, and furthermore at 4p15-14. In order to further investigate the genetic basis of AD, we collected and analysed a new Danish family sample consisting of 130 AD sib pair families (555 individuals including 295 children with AD). AD was diagnosed after clinical examination, AD severity was scored and specific IgE was determined. A linkage scan of chromosome 3, 4 and 18 was performed using 91 microsatellite markers. Linkage analyses were performed of dichotomous phenotypes and semi-quantitative traits including the AD severity score. We analysed the novel AD sample alone and together with the previously examined sample. AD severity showed a maximum Z-score of 3.7 at 4q22.1 suggesting the localization of a novel gene for AD severity. A maximum MOD score of 4.6 was obtained at 3p24 for the AD phenotype, providing the first significant linkage of AD at this locus. A maximum MLS score of 3.3 was obtained at 3q21 for IgE-associated AD, and evidence of linkage was also obtained at 3p22.2-21.31, 3q13, 4q35, and 18q12. The results presented should provide a firm basis for gene-targeting studies of AD and related disorders.
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18
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Genomic profiling of prostate cancers from African American men. Neoplasia 2009; 11:305-12. [PMID: 19242612 DOI: 10.1593/neo.81530] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2008] [Revised: 01/11/2009] [Accepted: 01/12/2009] [Indexed: 11/18/2022] Open
Abstract
African American (AA) men have a higher incidence and significantly higher mortality rates from prostate cancer than white men, but the biological basis for these differences are poorly understood. Few studies have been carried out to determine whether there are areas of allelic loss or gain in prostate cancers from AA men that are overrepresented in or specific to this group. To better understand the molecular mechanisms of prostate cancer in AA men, we have analyzed 20 prostate cancers from AA men with high-density single-nucleotide polymorphism arrays to detect genomic copy number alterations. We identified 17 regions showing significant loss and 4 regions with significant gains. Most of these regions had been linked to prostate cancer by previous studies of copy number alterations of predominantly white patients.We identified a novel region of loss at 4p16.3, which has been shown to be lost in breast, colon, and bladder cancers. Comparison of our primary tumors with tumors from white patients from a previously published cohort with similar pathological characteristics showed higher frequency of loss of at numerous loci including 6q13-22, 8p21, 13q13-14, and 16q11-24 and gains of 7p21 and 8q24, all of which had higher frequencies in metastatic lesions in this previously published cohort. Thus, the clinically localized cancers from AA men more closely resembled metastatic cancers from white men. This difference may in part explain the more aggressive clinical behavior of prostate cancer in AA men.
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19
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Lange EM, Beebe-Dimmer JL, Ray AM, Zuhlke KA, Ellis J, Wang Y, Walters S, Cooney KA. Genome-wide linkage scan for prostate cancer susceptibility from the University of Michigan Prostate Cancer Genetics Project: suggestive evidence for linkage at 16q23. Prostate 2009; 69:385-91. [PMID: 19035517 PMCID: PMC2712837 DOI: 10.1002/pros.20891] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Prostate cancer linkage studies have been used to localize rare and presumably highly penetrant cancer susceptibility genes. Underlying genetic heterogeneity, as well as the high sporadic background of the disease, has resulted in many signals that are often not reproducible between research studies. METHODS We conducted a SNP-based genome wide linkage scan on 131 Caucasian prostate cancer families participating in the University of Michigan Prostate Cancer Genetics Project (PCGP). RESULTS The strongest evidence for linkage was detected at 16q23 (LOD = 2.70 at rs1079635). Prostate cancer linkage to the same region of 16q23 has been observed by others and the region contains several strong candidate genes including the known prostate cancer tumor suppressor genes ATBF1 and WWOX. This linkage signal was not detected in our prior linkage study on 175 PCGP families, illustrating the genetic heterogeneity underlying prostate cancer susceptibility. CONCLUSIONS Further linkage studies in combination with tumor analyses from linked families are in progress to identify the putative hereditary prostate cancer gene at 16q23.
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Affiliation(s)
- Ethan M. Lange
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina
- The Curriculumin Genetics and Molecular Biology, University of North Carolina, Chapel Hill, North Carolina
| | - Jennifer L. Beebe-Dimmer
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Internal Medicine, Wayne State University, Detroit, Michigan
| | - Anna M. Ray
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Kimberly A. Zuhlke
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Jaclyn Ellis
- The Curriculumin Genetics and Molecular Biology, University of North Carolina, Chapel Hill, North Carolina
| | - Yunfei Wang
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina
| | - Sarah Walters
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Kathleen A. Cooney
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Department of Internal Medicine and Urology, University of Michigan Medical School, Ann Arbor, Michigan
- Correspondence to: Kathleen A. Cooney, MD, Professor of Internal Medicine and Urology, University of Michigan Health System, 7216 Cancer Center, SPC 5948, 1500 East Medical Center Drive Ann Arbor, MI 48109. E-mail:
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20
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Stanford JL, FitzGerald LM, McDonnell SK, Carlson EE, McIntosh LM, Deutsch K, Hood L, Ostrander EA, Schaid DJ. Dense genome-wide SNP linkage scan in 301 hereditary prostate cancer families identifies multiple regions with suggestive evidence for linkage. Hum Mol Genet 2009; 18:1839-48. [PMID: 19251732 DOI: 10.1093/hmg/ddp100] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The search for susceptibility loci in hereditary prostate cancer (HPC) has proven challenging due to genetic and disease heterogeneity. Multiple risk loci have been identified to date, however few loci have been replicated across independent linkage studies. In addition, most previous analyses have been hampered by the relatively poor information content provided by microsatellite scans. To overcome these issues, we have performed linkage analyses on members of 301 HPC families genotyped using the Illumina SNP linkage panel IVb. The information content for this panel, averaged over all pedigrees and all chromosomes, was 86% (range 83-87% over chromosomes). Analyses were also stratified on families according to disease aggressiveness, age at diagnosis and number of affected individuals to achieve more genetically homogeneous subsets. Suggestive evidence for linkage was identified at 7q21 (HLOD = 1.87), 8q22 (KCLOD = 1.88) and 15q13-q14 (HLOD = 1.99) in 289 Caucasian families, and nominal evidence for linkage was identified at 2q24 (LOD = 1.73) in 12 African American families. Analysis of more aggressive prostate cancer phenotypes provided evidence for linkage to 11q25 (KCLOD = 2.02), 15q26 (HLOD = 1.99) and 17p12 (HLOD = 2.13). Subset analyses according to age at diagnosis and number of affected individuals also identified several regions with suggestive evidence for linkage, including a KCLOD of 2.82 at 15q13-q14 in 128 Caucasian families with younger ages at diagnosis. The results presented here provide further evidence for a prostate cancer susceptibility locus on chromosome 15q and demonstrate the power of utilizing high information content SNP scans in combination with homogenous collections of large prostate cancer pedigrees.
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Affiliation(s)
- Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
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21
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Bachmann N, Haeusler J, Luedeke M, Kuefer R, Perner S, Assum G, Paiss T, Hoegel J, Vogel W, Maier C. Expression changes of CAV1 and EZH2, located on 7q31 approximately q36, are rarely related to genomic alterations in primary prostate carcinoma. ACTA ACUST UNITED AC 2008; 182:103-10. [PMID: 18406871 DOI: 10.1016/j.cancergencyto.2008.01.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2007] [Revised: 01/09/2008] [Accepted: 01/15/2008] [Indexed: 10/22/2022]
Abstract
The chromosomal region 7q was repeatedly found to be rearranged in prostate carcinoma. It harbors several well described candidate tumor suppressor and oncogenes. We addressed two genes with opposite roles in cancer; CAV1, a putative tumor suppressor gene at 7q31, and EZH2 at 7q36, which is believed to promote tumor progression. Our primary aim was to assess their expression changes in primary tumors, and then to elucidate the underlying mechanism, assuming that genomic alterations of either locus could affect the other gene as well. In 35 prostate tumor samples, compared with adjacent tissues, CAV1 was overall downregulated (P < 10(-06)), whereas EZH2 was significantly overexpressed (P < 10(-06)). The observed dysregulations were coincident in nearly 70% of the cases. Copy number changes occurred in few tumors. Loss of CAV1 DNA was only marginally associated with reduced expression (P = 0.07), however, and genomic amplification of EZH2 could not explain its upregulation. Through bisulfite sequencing of four tumor samples, CpG-hypermethylation was verified as an alternative mechanism for CAV1 silencing, as reported previously. Moreover, it could also be involved in the reactivation of EZH2.
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Affiliation(s)
- Natascha Bachmann
- Department of Human Genetics, University of Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany
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22
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Thomas A, Camp NJ, Farnham JM, Allen-Brady K, Cannon-Albright LA. Shared genomic segment analysis. Mapping disease predisposition genes in extended pedigrees using SNP genotype assays. Ann Hum Genet 2008; 72:279-87. [PMID: 18093282 PMCID: PMC2964273 DOI: 10.1111/j.1469-1809.2007.00406.x] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We examine the utility of high density genotype assays for predisposition gene localization using extended pedigrees. Results for the distribution of the number and length of genomic segments shared identical by descent among relatives previously derived in the context of genomic mismatch scanning are reviewed in the context of dense single nucleotide polymorphism maps. We use long runs of loci at which cases share a common allele identically by state to localize hypothesized predisposition genes. The distribution of such runs under the hypothesis of no genetic effect is evaluated by simulation. Methods are illustrated by analysis of an extended prostate cancer pedigree previously reported to show significant linkage to chromosome 1p23. Our analysis establishes that runs of simple single locus statistics can be powerful, tractable and robust for finding DNA shared between relatives, and that extended pedigrees offer powerful designs for gene detection based on these statistics.
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Affiliation(s)
- A Thomas
- Department of Biomedical Informatics, University of Utah, 391 Chipeta Way, Salt Lake City, UT 84108, USA.
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23
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Ostrander EA, Johannesson B. Prostate cancer susceptibility loci: finding the genes. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2008; 617:179-90. [PMID: 18497042 DOI: 10.1007/978-0-387-69080-3_17] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/06/2022]
Abstract
Studies to date suggest that PC is a genetically very heterogeneous disease. High-risk families, in which multiple men are affected likely, reflect the contributions of a number of genes, some that are rare and highly penetrant, while others are more common and weakly penetrant. In this review, we have discussed only the first type of loci, and found that the identification of such genomic regions is a formidable problem. Replication between seemingly similar data sets is weak, likely reflecting the older age of onset associated with the disease, the inability to collect affected individuals from more than two generations in a family, and the variation seen in disease presentation, in addition to the underlying locus heterogeneity. Indeed, the definition of PC is ever changing, as diagnostic criteria and tools for pinpointing early lesions improve. Are we making progress? Clearly the answer is yes. The ability to divide large data sets into homogenous subset of families likely to share common genetic under-pinnings has improved power to identify loci and reproducibility between loci is now more common. Indeed, several groups report linkage to loci on chromosomes 1, 17, 19, and 22. Key to our continued success is our ever increasing ability to understand the disease. Identifying the subset of men who are likely to get clinically significant disease is the goal of genetic studies like these, and identifying the underlying loci is the key for developing diagnostics. The willingness of the community to work together has been an important factor in the successes the community has enjoyed to date, and will likely be as important as we move forward to untangle the genetics of this complex and common disorder.
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Affiliation(s)
- Elanie A Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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24
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Cunningham JM, Hebbring SJ, McDonnell SK, Cicek MS, Christensen GB, Wang L, Jacobsen SJ, Cerhan JR, Blute ML, Schaid DJ, Thibodeau SN. Evaluation of genetic variations in the androgen and estrogen metabolic pathways as risk factors for sporadic and familial prostate cancer. Cancer Epidemiol Biomarkers Prev 2007; 16:969-78. [PMID: 17507624 DOI: 10.1158/1055-9965.epi-06-0767] [Citation(s) in RCA: 90] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Previous studies suggest that enzymes involved in the androgen metabolic pathway are susceptibility factors for prostate cancer. Estrogen metabolites functioning as genotoxins have also been proposed as risk factors. In this study, we systematically tested the hypothesis that common genetic variations for those enzymes involved in the androgen and estrogen metabolic pathways increase risk for sporadic and familial prostate cancer. From these two pathways, 46 polymorphisms (34 single nucleotide polymorphisms, 10 short tandem repeat polymorphisms, and 2 null alleles) in 25 genes were tested for possible associations. Those genes tested included PRL, LHB, CYP11A1, HSD3B1, HSD3B2, HSD17B2, CYP17, SRD5A2, AKR1C3, UGT2B15, AR, SHBG, and KLK3 from the androgen pathway and CYP19, HSD17B1, CYP1A1, CYP1A2, CYP1B1, COMT, GSTP1, GSTT1, GSTM1, NQO1, ESR1, and ESR2 from the estrogen pathway. A case-control study design was used with two sets of cases: familial cases with a strong prostate cancer family history (n = 438 from 178 families) and sporadic cases with a negative prostate cancer family history (n = 499). The controls (n = 493) were derived from a population-based collection. Our results provide suggestive findings for an association with either familial or sporadic prostate cancer with polymorphisms in four genes: AKR1C3, HSD17B1, NQO1, and GSTT1. Additional suggestive findings for an association with clinical variables (disease stage, grade, and/or node status) were observed for single nucleotide polymorphisms in eight genes: HSD3B2, SRD5A2, SHBG, ESR1, CYP1A1, CYP1B1, GSTT1, and NQO1. However, none of the findings were statistically significant after appropriate corrections for multiple comparisons. Given that the point estimates for the odds ratio for each of these polymorphisms are <2.0, much larger sample sizes will be required for confirmation.
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Affiliation(s)
- Julie M Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
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25
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Sizemore S, Cicek M, Sizemore N, Ng KP, Casey G. Podocalyxin increases the aggressive phenotype of breast and prostate cancer cells in vitro through its interaction with ezrin. Cancer Res 2007; 67:6183-91. [PMID: 17616675 DOI: 10.1158/0008-5472.can-06-3575] [Citation(s) in RCA: 98] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Podocalyxin is an anti-adhesive transmembrane sialomucin that has been implicated in the development of more aggressive forms of breast and prostate cancer. The mechanism through which podocalyxin increases cancer aggressiveness remains poorly understood but may involve the interaction of podocalyxin with ezrin, an established mediator of metastasis. Here, we show that overexpression of podocalyxin in MCF7 breast cancer and PC3 prostate cancer cell lines increased their in vitro invasive and migratory potential and led to increased expression of matrix metalloproteases 1 and 9 (MMP1 and MMP9). Podocalyxin expression also led to an increase in mitogen-activated protein kinase (MAPK) and phosphatidylinositol 3-kinase (PI3K) activity. To determine the role of ezrin in these podocalyxin-dependent phenotypic events, we first confirmed that podocalyxin formed a complex with ezrin in MCF7 and PC3 cells. Furthermore, expression of podocalyxin was associated with a changed ezrin subcellular localization and increased ezrin phosphorylation. Transient knockdown of ezrin protein abrogated MAPK and PI3K signaling as well as MMP expression and invasiveness in cancer cells overexpressing podocalyxin. These findings suggest that podocalyxin leads to increased in vitro migration and invasion, increased MMP expression, and increased activation of MAPK and PI3K activity in MCF7 and PC3 cells through its ability to form a complex with ezrin.
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Affiliation(s)
- Steven Sizemore
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio 44195, USA
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26
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Pal P, Xi H, Sun G, Kaushal R, Meeks JJ, Thaxton CS, Guha S, Jin CH, Suarez BK, Catalona WJ, Deka R. Tagging SNPs in the kallikrein genes 3 and 2 on 19q13 and their associations with prostate cancer in men of European origin. Hum Genet 2007; 122:251-9. [PMID: 17593395 DOI: 10.1007/s00439-007-0394-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2007] [Accepted: 06/11/2007] [Indexed: 10/23/2022]
Abstract
Two of the classical kallikrein genes KLK3 and KLK2 on 19q13.4 are plausible candidates in prostate cancer susceptibility. They are expressed almost exclusively in prostate tissue. We have performed a comprehensive analysis of association of variants in these two genes with prostate cancer among men of European descent using a tagging SNP approach. Thirteen SNPs selected from the HapMap database were analyzed in a sample of 596 histologically verified prostate cancer cases and 567 ethnically matched controls. Five SNPs showed significant association at single marker level. Linkage disequilibrium (LD) analysis revealed four LD blocks. We performed a haplotype analysis within each LD block. A major haplotype in block 1 that contains the first two significantly associated SNPs was significantly underrepresented in the prostate cancer cases; a second haplotype in block 3 also showed significant frequency differences between cases and controls. Four of the studied SNPs show positive associations with serum PSA levels. A structure analysis revealed no population stratification in our samples that could have confounded the association results. These findings suggest a plausible role of kallikrein gene variants in the etiology of prostate cancer among men of European ancestry.
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Affiliation(s)
- Prodipto Pal
- Department of Environmental Health, Center for Genome Information, University of Cincinnati Medical Center, OH 45267-0056, USA
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27
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Ostrander EA, Kwon EM, Stanford JL. Genetic susceptibility to aggressive prostate cancer. Cancer Epidemiol Biomarkers Prev 2007; 15:1761-4. [PMID: 17035380 DOI: 10.1158/1055-9965.epi-06-0730] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Elaine A Ostrander
- Cancer Genetics Branch, National Human Genome Research Institute, NIH, 50 South Drive, Bethesda, MD 20892, USA.
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28
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Schaid DJ, Stanford JL, McDonnell SK, Suuriniemi M, McIntosh L, Karyadi DM, Carlson EE, Deutsch K, Janer M, Hood L, Ostrander EA. Genome-wide linkage scan of prostate cancer Gleason score and confirmation of chromosome 19q. Hum Genet 2007; 121:729-35. [PMID: 17486369 DOI: 10.1007/s00439-007-0368-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2007] [Accepted: 04/12/2007] [Indexed: 11/26/2022]
Abstract
Despite evidence that prostate cancer has a genetic etiology, it has been extremely difficult to confirm genetic linkage results across studies, emphasizing the large extent of genetic heterogeneity associated with this disease. Because prostate cancer is common--approximately one in six men will be diagnosed with prostate cancer in their life--genetic linkage studies are likely plagued by phenocopies (i.e., men with prostate cancer due to environmental or lifestyle factors), weakly penetrant alleles, or a combination of both, making it difficult to replicate linkage findings. One way to account for heterogeneous causes is to use clinical information that is related to the aggressiveness of disease as an endpoint for linkage analyses. Gleason grade is a measure of prostate tumor differentiation, with higher grades associated with more aggressive disease. This semi-quantitative score has been used as a quantitative trait for linkage analysis in several prior studies. Our aim was to determine if prior linkage reports of Gleason grade to specific loci could be replicated, and to ascertain if new regions of linkage could be found. Gleason scores were available for 391 affected sib pairs from 183 hereditary prostate cancer pedigrees as part of the PROGRESS study. Analyzing Gleason score as a quantitative trait, and using microsatellite markers, suggestive evidence for linkage (P-value <or= 0.001) was found on chromosomes 19q and 5q, with P-values <or= 0.01 observed on chromosomes 3q, 7q, and 16q. Our results confirm reports of Gleason score linkage to chromosome 19q and suggest new loci for further investigation.
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29
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Christensen GB, Camp NJ, Farnham JM, Cannon-Albright LA. Genome-wide linkage analysis for aggressive prostate cancer in Utah high-risk pedigrees. Prostate 2007; 67:605-13. [PMID: 17299800 DOI: 10.1002/pros.20554] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND It has been proposed that studying alternative phenotypes, such as tumor aggressiveness, may be a solution for overcoming the apparent heterogeneity that has hindered the identification of prostate cancer (PC) genes. We present the results of a genome-scan for predisposition to aggressive PC using the Utah high-risk pedigree resource. METHODS We identified 259 subjects with aggressive PC in 57 extended and nuclear families. Parametric and non-parametric multipoint linkage statistics were calculated for a genome-wide set of 401 microsatellite markers using the MCLINK software package. Stratification analyses by the number of affected subjects per pedigree (<5, >or=5) and the average age at diagnosis of affected subjects (<70 years, >or=70 years) were also performed. RESULTS No significant results were observed at the genome-wide level, but suggestive evidence for linkage was observed on chromosomes 9q (HLOD = 2.04) and 14q (HLOD = 2.08); several pedigrees showed individual evidence for linkage at each locus (LOD > 0.58). The subset of pedigrees with earlier age at onset demonstrated nominal linkage evidence on chromosomes 3q (HLOD = 1.79), 8q (HLOD = 1.67), and 20q (HLOD=1.82). The late-onset subset showed suggestive linkage on chromosome 6p (HLOD = 2.37) and the subset of pedigrees with fewer than five affected subjects showed suggestive linkage on chromosome 10p (HLOD = 1.99). CONCLUSIONS Linkage evidence observed on chromosomes 6p, 8q, and 20q support previously reported PC aggressiveness loci. While these results are encouraging, further research is necessary to identify the gene or genes responsible for PC aggressiveness and surmount the overarching problem of PC heterogeneity.
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Affiliation(s)
- G B Christensen
- Department of Biomedical Informatics, University of Utah School of Medicine, Utah, USA.
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30
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Pierce BL, Friedrichsen-Karyadi DM, McIntosh L, Deutsch K, Hood L, Ostrander EA, Austin MA, Stanford JL. Genomic scan of 12 hereditary prostate cancer families having an occurrence of pancreas cancer. Prostate 2007; 67:410-5. [PMID: 17192958 DOI: 10.1002/pros.20527] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Prostate cancer is a genetically heterogeneous disease. Using the occurrence of other cancers in hereditary prostate cancer (HPC) families is a promising strategy for developing genetically homogeneous data sets that can enhance the ability to identify susceptibility loci using linkage analysis. METHODS Twelve HPC families with the co-occurrence of adenocarcinoma of the pancreas were selected from the Prostate Cancer Genetic Research Study (PROGRESS). Non-parametric linkage analysis for a prostate/pancreas cancer susceptibility phenotype was performed using 441 genome-wide microsatellite markers. RESULTS No statistically significant linkage signal was detected in this analysis. The strongest linkage signals, as measured by Kong and Cox LOD score (KC LOD), were observed on chromosomes 2q37.2-q37.3 (KC LOD = 1.01; P = 0.02) and 16q23.2 (KC LOC = 1.05; P = 0.01). CONCLUSIONS Despite the lack of statistically significant findings, four chromosomal regions, three of which (2q, 16q, 17q) were previously noted as harboring potential susceptibility loci, showed suggestive linkage results in this scan.
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Affiliation(s)
- Brandon L Pierce
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109-1024, USA
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31
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Schaid DJ, McDonnell SK, Zarfas KE, Cunningham JM, Hebbring S, Thibodeau SN, Eeles RA, Easton DF, Foulkes WD, Simard J, Giles GG, Hopper JL, Mahle L, Moller P, Badzioch M, Bishop DT, Evans C, Edwards S, Meitz J, Bullock S, Hope Q, Guy M, Hsieh CL, Halpern J, Balise RR, Oakley-Girvan I, Whittemore AS, Xu J, Dimitrov L, Chang BL, Adams TS, Turner AR, Meyers DA, Friedrichsen DM, Deutsch K, Kolb S, Janer M, Hood L, Ostrander EA, Stanford JL, Ewing CM, Gielzak M, Isaacs SD, Walsh PC, Wiley KE, Isaacs WB, Lange EM, Ho LA, Beebe-Dimmer JL, Wood DP, Cooney KA, Seminara D, Ikonen T, Baffoe-Bonnie A, Fredriksson H, Matikainen MP, Tammela TLJ, Bailey-Wilson J, Schleutker J, Maier C, Herkommer K, Hoegel JJ, Vogel W, Paiss T, Wiklund F, Emanuelsson M, Stenman E, Jonsson BA, Grönberg H, Camp NJ, Farnham J, Cannon-Albright LA, Catalona WJ, Suarez BK, Roehl KA. Pooled genome linkage scan of aggressive prostate cancer: results from the International Consortium for Prostate Cancer Genetics. Hum Genet 2006; 120:471-85. [PMID: 16932970 DOI: 10.1007/s00439-006-0219-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2006] [Accepted: 06/05/2006] [Indexed: 10/24/2022]
Abstract
While it is widely appreciated that prostate cancers vary substantially in their propensity to progress to a life-threatening stage, the molecular events responsible for this progression have not been identified. Understanding these molecular mechanisms could provide important prognostic information relevant to more effective clinical management of this heterogeneous cancer. Hence, through genetic linkage analyses, we examined the hypothesis that the tendency to develop aggressive prostate cancer may have an important genetic component. Starting with 1,233 familial prostate cancer families with genome scan data available from the International Consortium for Prostate Cancer Genetics, we selected those that had at least three members with the phenotype of clinically aggressive prostate cancer, as defined by either high tumor grade and/or stage, resulting in 166 pedigrees (13%). Genome-wide linkage data were then pooled to perform a combined linkage analysis for these families. Linkage signals reaching a suggestive level of significance were found on chromosomes 6p22.3 (LOD = 3.0), 11q14.1-14.3 (LOD = 2.4), and 20p11.21-q11.21 (LOD = 2.5). For chromosome 11, stronger evidence of linkage (LOD = 3.3) was observed among pedigrees with an average at diagnosis of 65 years or younger. Other chromosomes that showed evidence for heterogeneity in linkage across strata were chromosome 7, with the strongest linkage signal among pedigrees without male-to-male disease transmission (7q21.11, LOD = 4.1), and chromosome 21, with the strongest linkage signal among pedigrees that had African American ancestry (21q22.13-22.3; LOD = 3.2). Our findings suggest several regions that may contain genes which, when mutated, predispose men to develop a more aggressive prostate cancer phenotype. This provides a basis for attempts to identify these genes, with potential clinical utility for men with aggressive prostate cancer and their relatives.
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Affiliation(s)
- Daniel J Schaid
- Harwick 7, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
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Pal P, Xi H, Kaushal R, Sun G, Jin CH, Jin L, Suarez BK, Catalona WJ, Deka R. Variants in the HEPSIN gene are associated with prostate cancer in men of European origin. Hum Genet 2006; 120:187-92. [PMID: 16783571 DOI: 10.1007/s00439-006-0204-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2006] [Accepted: 05/09/2006] [Indexed: 10/24/2022]
Abstract
There is considerable evidence that genetic factors are involved in prostate cancer susceptibility. We have studied the association of 11 single nucleotide polymorphisms (SNPs) in the HEPSIN gene (HPN) with prostate cancer in men of European ancestry. HPN is a likely candidate in prostate cancer susceptibility, as it encodes a transmembrane cell surface serum protease, which is overexpressed in prostate cancer; HPN is also located on 19q11-q13.2, where linkage is found with prostate cancer susceptibility. In this case-control association study (590 men with histologically verified prostate cancer and 576 unrelated controls, all of European descent), we find significant allele frequency differences between cases and controls at five SNPs that are located contiguously within the gene. A major 11-locus haplotype is significantly associated, which provides further support that HPN is a potentially important candidate gene involved in prostate cancer susceptibility. Association of one of the SNPs with Gleason score is also suggestive of a plausible role of HPN in tumor aggressiveness.
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Affiliation(s)
- Prodipto Pal
- Department of Environmental Health, Center for Genome Information, University of Cincinnati, Cincinnati, OH 45267-0056, USA
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Slager SL, Zarfas KE, Brown WM, Lange EM, McDonnell SK, Wojno KJ, Cooney KA. Genome-wide linkage scan for prostate cancer aggressiveness loci using families from the University of Michigan Prostate Cancer Genetics Project. Prostate 2006; 66:173-9. [PMID: 16173044 DOI: 10.1002/pros.20332] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Prostate cancer (PC) is a complex disease that displays variable disease outcome, ranging from a relatively indolent disease to forms that result in death from the disease. One measure of disease severity is the Gleason score. Using the Gleason score as a measure of tumor aggressiveness, several independent genome scans have reported evidence of linkage. As of yet, however, no genes have been implicated. METHODS We report an independent genome scan using the Gleason score as a quantitative trait. We genotyped 405 highly polymorphic microsatellite markers in 175 brother pairs from 103 families. RESULTS Our strongest evidence of linkage is to 6q23 at 137 cM (D6S292, P = 0.0009). Other interesting regions (P < 0.005) were on chromosome 1p13-q21 and on chromosome 5p13-q11. CONCLUSIONS Our results provide further evidence that tumor aggressiveness has a genetic component, and that this genetic component may be influenced by several independent genes.
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Affiliation(s)
- Susan L Slager
- Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA.
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Casey G, Neville PJ, Liu X, Plummer SJ, Cicek MS, Krumroy LM, Curran AP, McGreevy MR, Catalona WJ, Klein EA, Witte JS. Podocalyxin variants and risk of prostate cancer and tumor aggressiveness. Hum Mol Genet 2006; 15:735-41. [PMID: 16434482 DOI: 10.1093/hmg/ddi487] [Citation(s) in RCA: 79] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
We previously reported linkage of a prostate cancer tumor aggressiveness locus to chromosome 7q32-q33, a region also associated with a high frequency of allelic imbalance in prostate tumors. The smallest region of allelic imbalance contains the podocalyxin-like (PODXL) gene, which we evaluate here as a candidate prostate cancer aggressiveness gene mapping to 7q32-q33. DNA from probands of linked families was examined for germ-line mutations in PODXL. A variable in-frame deletion, four missense variants and two nonsense variants were identified in linked men. Variants that affected amino acid sequence were further evaluated for association with risk of prostate cancer and tumor aggressiveness in a family-based case-control population (439 cases and 479 sibling controls). The presence of any single in-frame deletion was positively associated with prostate cancer [odds ratio (OR)=2.14, 95% confidence interval (95%CI)=1.09-4.20, P=0.03] and the presence of two copies of any deletion further increased risk (OR=2.58, 95%CI=1.23-5.45, P=0.01). This finding was strengthened when stratifying among men with more aggressive disease (high grade or stage): OR=3.04 for one deletion (95%CI=1.01-9.15) and OR=4.42 for two deletions (95%CI=1.32-14.85, P=0.02). A weak positive association was also observed between prostate cancer risk and PODXL variant 340A (in linkage disequilibrium with another variant, 587T) (OR=1.48, 95%CI=1.02-2.14, P=0.04). These results implicate PODXL as a candidate prostate cancer tumor aggressiveness gene mapping to chromosome 7q32-q33.
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Affiliation(s)
- Graham Casey
- Department of Cancer Biology, Lerner Research Institute, The Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
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35
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Camp NJ, Farnham JM, Cannon Albright LA. Genomic search for prostate cancer predisposition loci in Utah pedigrees. Prostate 2005; 65:365-74. [PMID: 16037989 DOI: 10.1002/pros.20287] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
BACKGROUND We report a genome linkage scan in extended Utah pedigrees, utilizing a pedigree-splitting approach to reduce intra-familial heterogeneity. METHODS Fifty-nine pedigrees with at least four Prostate cancer (PrCa) cases and no more than two meioses separating PrCa cases were analyzed using the CIDR genomic search STRP marker set. Parametric linkage analyses using dominant and recessive models were performed on four datasets resulting from a pedigree splitting algorithm. In addition, age at diagnosis subset analyses were performed. RESULTS Four regions of interest (LODs>1.9) were identified on chromosomes 1p, 3q, 5q, and 22q. The linkage peaks on 1p, 3q, and 22q have been previously implicated for PrCa, though not significantly. The 1p region was supported by a single large Utah pedigree with a multipoint LOD score of 3.1. An additional 10 regions gave LOD scores>1.22 (nominal linkage evidence), including moderate evidence supporting the HPC20 region with a recessive model. CONCLUSIONS Our genome-wide search in the informative, extended Utah pedigrees continues to illustrate an ability to identify and replicate linkage peaks, and supports four regions of interest for PrCa predisposition genes.
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Affiliation(s)
- Nicola J Camp
- Genetic Epidemiology, Department of Medical Informatics, University of Utah, Salt Lake City, Utah 84108, USA
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Cicek MS, Liu X, Casey G, Witte JS. Role of Androgen Metabolism Genes CYP1B1, PSA/KLK3, and CYP11 in Prostate Cancer Risk and Aggressiveness. Cancer Epidemiol Biomarkers Prev 2005; 14:2173-7. [PMID: 16172228 DOI: 10.1158/1055-9965.epi-05-0215] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Candidate genes involved with androgen metabolism have been hypothesized to affect the risk of prostate cancer. To further investigate this, we evaluated the relationship between prostate cancer and multiple potentially functional polymorphisms in three genes involved in androgen metabolism: CYP1B1 (two single nucleotide polymorphisms: 355G/T and 4326C/G), prostate-specific antigen (PSA/KLK3 (three single nucleotide polymorphisms: -158A/G, -4643G/A, and -5412C/T), and CYP11alpha [(tttta)(n) repeat], using a moderately large (n = 918) sibling-based case-control population. When looking at all subjects combined, no association was observed between any polymorphism-or their haplotypes-and prostate cancer risk. However, among men with more aggressive prostate cancer, the CYP1B1 355G/T variant was positively associated with disease: carrying one or two T alleles gave odds ratios (OR) of 1.90 [95% confidence interval (95% CI), 1.09-3.31; P = 0.02] and 3.73 (95% CI, 1.39-10.0; P = 0.009), respectively. Similarly, carrying the CYP1B1 355T-4326C haplotype was positively associated with prostate cancer among men with high aggressive disease (P = 0.01). In addition, the PSA -158G/-158G genotype was positively associated with prostate cancer among men with less aggressive disease (OR, 2.71; 95% CI, 1.06-6.94; P = 0.04). Our findings suggest that CYP1B1 and PSA variants may affect the risk of prostate cancer and tumor aggressiveness.
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Affiliation(s)
- Mine S Cicek
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic Lerner School of Medicine, Ohio, USA
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Maier C, Herkommer K, Hoegel J, Vogel W, Paiss T. A genomewide linkage analysis for prostate cancer susceptibility genes in families from Germany. Eur J Hum Genet 2005; 13:352-60. [PMID: 15536476 DOI: 10.1038/sj.ejhg.5201333] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Prostate cancer is a complex disease with a substantial genetic contribution involved in the disease risk. Several genomewide linkage studies conducted so far have demonstrated a strong heterogeneity of susceptibility. In order to assess candidate regions that are particularly relevant for the German population, we performed a genomewide linkage search on 139 prostate cancer families. A nonparametric method (Zlr scores), using GENEHUNTERPLUS, was applied at 500 markers (panel P1400, deCODE), with an average spacing of 7.25 cM. In the entire family collection, linkage was most evident at 8p22 (Zlr=2.47, P=0.0068), close to the previously identified susceptibility gene MSR1. Further local maxima with Zlr>2 (P<0.025) were observed at 1q, 5q and 15q. In a subgroup of 47 families, which matched the Johns Hopkins criteria of hereditary prostate cancer, suggestive linkage was found on 1p31 (Zlr=3.37, P=0.00038), a previously not described candidate region. The remaining 92 pedigrees, with no strong disease history, revealed a maximum Zlr=3.15 (P=0.00082) at 8q13, possibly indicating a gene with reduced penetrance or recessive inheritance. Our results suggest pronounced locus heterogeneity of prostate cancer susceptibility in Germany. In the present study population, the MSR1 gene could play a significant role. Other conspicuous loci, like 1p31 and 8q13, need further investigation in order to verify their relevance and to identify candidate genes.
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Valeri A, Fromont G, Sakr W, Azzouzi R, Dey J, Chantrel-Groussard K, Latil A, Berthon P, Cussenot O, Pontes JE, Cher ML. High frequency of allelic losses in high-grade prostate cancer is associated with biochemical progression after radical prostatectomy. Urol Oncol 2005; 23:87-92. [PMID: 15869992 DOI: 10.1016/j.urolonc.2004.08.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2004] [Accepted: 08/19/2004] [Indexed: 11/20/2022]
Abstract
Loss of heterozygosity (LOH) is the most consistent genetic change in prostate cancer (CaP). We aimed, to correlate specific LOH and the overall LOH frequency, to disease progression after radical prostatectomy (RP) in high-grade CaP. Between January 1990 through December 1998, 126 patients who underwent RP (cT1-T2), Gleason 8-10, were pT3, or pN1, or SM(+) (surgical margins). Nine were lost of follow-up, 39/117 (33%) had no biochemical progression (mean follow-up: 45 months). After exclusion for preoperative PSA >50 ng/mL, a case-control study was designed by matching 26 of these cases with 26 similar patients without biochemical progression (criteria: pT, pN, year of surgery). Using microsatellite markers, LOH were assessed on six chromosomal regions (7q31, 8p22, 12p13, 13q14, 16q23.2, 18q21). No prognostic value was associated with LOH at any one specific locus. However, the overall LOH frequency (five classes, cutoff of 60%), was significantly higher if progression (P = 0.02; P = 0.03) in SM(+) patients, and was near statistical significance (P = 0.08; P = 0.07) for the overall case-control population. In multivariate analysis (overall population), the overall LOH rate > or =60% was independently associated with progression [P = 0.035; Odds Ratio (OR) = 5.54]. An overall LOH rate > or =60% predicted poor outcome in 85% of SM(+) patients and 69% of the whole population. Our results suggest that the overall rate of LOH at chromosomal "hot spots" is more likely to be predictive of recurrence than the presence of LOH at any one particular locus. Moreover, the identification of a threshold of LOH could help in predicting patients with poor outcome who may be candidates for local or systemic adjuvant therapies.
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Affiliation(s)
- Antoine Valeri
- Department of Urology, Detroit Medical Center and Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, MI 48201, USA.
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Burmester JK, Suarez BK, Lin JH, Jin CH, Miller RD, Zhang KQ, Salzman SA, Reding DJ, Catalona WJ. Analysis of Candidate Genes for Prostate Cancer. Hum Hered 2004; 57:172-8. [PMID: 15583422 DOI: 10.1159/000081443] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2004] [Accepted: 04/29/2004] [Indexed: 12/28/2022] Open
Abstract
Considerable evidence demonstrates that genetic factors are important in the development and aggressiveness of prostate cancer. To identify genetic variants that predispose to prostate cancer we tested candidate SNPs from genomic regions that show linkage to prostate cancer susceptibility and/or aggressiveness, as well as genes that show a significant difference in mRNA expression level between tumor and normal tissue. Cases had histologically verified prostate cancer. Controls were at least 65 years old, never registered a PSA above 2.5 ng/ml, always had digital rectal examinations that were not suspicious for cancer, and have no known family history of prostate cancer. Thirty-nine coding SNPs and nine non-coding SNPs were tested in up to 590 cases and 556 controls resulting in over 40,000 SNP genotypes. Significant differences in allele frequencies between cases and controls were observed for ID3 (inhibitor of DNA binding), p = 0.05, HPN (hepsin), p = 0.009, BCAS1 (breast carcinoma amplified sequence 1), p = 0.007, CAV2 (caveolin 2), p = 0.007, EMP3 (epithelial membrane protein 3), p < 0.0001, and MLH1 (mutL homolog 1), p < 0.0001. SNPs in three of these genes (BCAS1, EMP3 and MLH1) remained significant in an age-matched subsample.
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Affiliation(s)
- James K Burmester
- Department of Cancer Genetics, Marshfield Clinic Research Foundation, Wisc 54449, USA.
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Abstract
Prostate cancer is a heterogeneous disease with multiple loci contributing to susceptibility. Traditionally, genome-wide scans using high-risk families have utilized stratification by number of affected individuals, family history of other cancers, or family age at diagnosis to improve genetic homogeneity. In addition to locus heterogeneity, for later onset diseases such as prostate cancer, a major limitation to mapping efforts is that key parental DNA samples are rarely available. The lack of available samples from upper generations reduces inheritance information, and as a result, the standard 10-cM genome scan does not provide full power to detect linkage. To increase the ability to find disease-associated loci, much denser genome-wide scans must be undertaken in multiple ethnic groups. In addition, new ways of defining homogenous subsets of families need to be developed.
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Affiliation(s)
- Elaine A Ostrander
- Division of Clinical Research1, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109-1024, USA.
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Edwards SM, Eeles RA. Unravelling the genetics of prostate cancer. AMERICAN JOURNAL OF MEDICAL GENETICS PART C-SEMINARS IN MEDICAL GENETICS 2004; 129C:65-73. [PMID: 15264274 DOI: 10.1002/ajmg.c.30027] [Citation(s) in RCA: 52] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
This review describes what is currently known about the genetics of prostate cancer. Traditionally, the genetics of a suspected inherited cancer predisposition have generally been thought of in terms of a single, high-risk gene with a dominant mode of inheritance. Such a gene might be observed in families, as has been documented in familial breast cancer (BRCA1/2), familial colorectal cancer (HNPCC), retinoblastoma (RB1), and Wilms tumor (WT1). This review investigates the evidence for the existence, first of familial prostate cancer, and second, for the presence of such a high-risk gene in those families by epidemiological and experimental approaches. Another current area of interest in prostate cancer is the investigation of the contribution of common lower penetrance genes to the disease. This alternative approach has become popular, as it raises the issue of frequently seen genetic variations such as single nucleotide polymorphisms (SNPs) having relevance to the risk of developing the disease. Finally, this article will explore the way forward, with emphasis on worldwide collaboration from teams attempting to find the genes responsible for the disease and investment in new technologies that will aid in their discovery.
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Affiliation(s)
- Stephen M Edwards
- Translational Cancer Genetics Team, Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
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Kommu S, Edwards S, Eeles R. The clinical genetics of prostate cancer. Hered Cancer Clin Pract 2004; 2:111-21. [PMID: 20233465 PMCID: PMC4392519 DOI: 10.1186/1897-4287-2-3-111] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2004] [Accepted: 07/27/2004] [Indexed: 12/24/2022] Open
Abstract
Prostate cancer is the most common cancer in men and the second highest cause of cancer-related mortality in the U.K. A genetic component in predisposition to prostate cancer has been recognized for decades. One of the strongest epidemiological risk factors for prostate cancer is a positive family history. The hunt for the genes that predispose to prostate cancer in families has been the focus of many research groups worldwide for the past 10 years. Both epidemiological and twin studies support a role for genetic predisposition to prostate cancer. Familial cancer loci have been found, but the genes that cause familial prostate cancer remain largely elusive. Unravelling the genetics of prostate cancer is challenging and is likely to involve the analysis of numerous predisposition genes. Current evidence supports the hypothesis that excess familial risk of prostate cancer could be due to the inheritance of multiple moderate-risk genetic variants. Although research on hereditary prostate cancer has improved our knowledge of the genetic aetiology of the disease, a lot of questions still remain unanswered. This article explores the current evidence that there is a genetic component to the aetiology of prostate cancer and attempts to put into context the diverse findings that have been shown to be possibly associated with the development of hereditary prostate cancer. Linkage searches over the last decade are summarised. It explores issues as to why understanding the genetics of prostate cancer has been so difficult and why despite this, it is still a major focus of research. Finally, current and future management strategies of men with Hereditary Prostate Cancer (HPC) are discussed.
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Affiliation(s)
- Sashi Kommu
- Reader in Clinical Cancer Genetics, Translational Cancer Genetics Team, Institute of Cancer Research, Sutton, UK.
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Easton DF, Schaid DJ, Whittemore AS, Isaacs WJ. Where are the prostate cancer genes?--A summary of eight genome wide searches. Prostate 2003; 57:261-9. [PMID: 14601022 DOI: 10.1002/pros.10300] [Citation(s) in RCA: 93] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND There is strong evidence for genetic susceptibility to prostate cancer, but most of the genes underlying this susceptibility remain to be identified. METHODS We reviewed the results of eight genome-wide linkage searches based on 1,293 families with multiple cases of prostate cancer. RESULTS Across these studies, 11 linkage peaks with LOD scores in excess of 2 were identified. However, no chromosomal region was reported as significant at this level by more than one study and only one corresponded to a peak previously suggested by another group. CONCLUSIONS These results indicate that prostate cancer is genetically complex, and that combined analyses of large family sets will be required to evaluate reliably the linkage evidence.
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Affiliation(s)
- Douglas F Easton
- Cancer Research U.K. Genetic Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, United Kingdom.
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