1
|
Rafikova G, Gilyazova I, Enikeeva K, Pavlov V, Kzhyshkowska J. Prostate Cancer: Genetics, Epigenetics and the Need for Immunological Biomarkers. Int J Mol Sci 2023; 24:12797. [PMID: 37628978 PMCID: PMC10454494 DOI: 10.3390/ijms241612797] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Epidemiological data highlight prostate cancer as a significant global health issue, with high incidence and substantial impact on patients' quality of life. The prevalence of this disease is associated with various factors, including age, heredity, and race. Recent research in prostate cancer genetics has identified several genetic variants that may be associated with an increased risk of developing the disease. However, despite the significance of these findings, genetic markers for prostate cancer are not currently utilized in clinical practice as reliable indicators of the disease. In addition to genetics, epigenetic alterations also play a crucial role in prostate cancer development. Aberrant DNA methylation, changes in chromatin structure, and microRNA (miRNA) expression are major epigenetic events that influence oncogenesis. Existing markers for prostate cancer, such as prostate-specific antigen (PSA), have limitations in terms of sensitivity and specificity. The cost of testing, follow-up procedures, and treatment for false-positive results and overdiagnosis contributes to the overall healthcare expenditure. Improving the effectiveness of prostate cancer diagnosis and prognosis requires either narrowing the risk group by identifying new genetic factors or enhancing the sensitivity and specificity of existing markers. Immunological biomarkers (both circulating and intra-tumoral), including markers of immune response and immune dysfunction, represent a potentially useful area of research for enhancing the diagnosis and prognosis of prostate cancer. Our review emphasizes the need for developing novel immunological biomarkers to improve the diagnosis, prognosis, and management of prostate cancer. We highlight the most recent achievements in the identification of biomarkers provided by circulating monocytes and tumor-associated macrophages (TAMs). We highlight that monocyte-derived and TAM-derived biomarkers can enable to establish the missing links between genetic predisposition, hormonal metabolism and immune responses in prostate cancer.
Collapse
Affiliation(s)
- Guzel Rafikova
- Institute of Urology and Clinical Oncology, Bashkir State Medical University, 450077 Ufa, Russia (K.E.); (V.P.)
| | - Irina Gilyazova
- Institute of Urology and Clinical Oncology, Bashkir State Medical University, 450077 Ufa, Russia (K.E.); (V.P.)
- Institute of Biochemistry and Genetics, Ufa Federal Research Center of the Russian Academy of Sciences, 450054 Ufa, Russia
| | - Kadriia Enikeeva
- Institute of Urology and Clinical Oncology, Bashkir State Medical University, 450077 Ufa, Russia (K.E.); (V.P.)
| | - Valentin Pavlov
- Institute of Urology and Clinical Oncology, Bashkir State Medical University, 450077 Ufa, Russia (K.E.); (V.P.)
| | - Julia Kzhyshkowska
- Laboratory for Translational Cellular and Molecular Biomedicine, Tomsk State University, 634050 Tomsk, Russia
- Genetic Technology Laboratory, Siberian State Medical University, 634050 Tomsk, Russia
- Institute of Transfusion Medicine and Immunology, Mannheim Institute of Innate Immunosciences (MI3), Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- German Red Cross Blood Service Baden-Württemberg—Hessen, 68167 Mannheim, Germany
| |
Collapse
|
2
|
Genetic variations at 10q26 regions near FGFR2 gene and its association with non-syndromic cleft lip with or without cleft palate. Int J Pediatr Otorhinolaryngol 2021; 143:110648. [PMID: 33684891 DOI: 10.1016/j.ijporl.2021.110648] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 01/18/2021] [Accepted: 02/07/2021] [Indexed: 11/23/2022]
Abstract
OBJECTIVES In our study, we focussed on three SNPs in the non-coding regions near FGFR2 gene, as studies on non-coding variants in the genome are the novel trends to identify the susceptible loci for nonsyndromic cleft lip with or without cleft palate (NSCL/P). FGFR2 gene is selected as a candidate gene based on knock out animal models and the role played in syndromic forms of clefting. FGFR2 gene also plays an important role in FGF signaling pathway during craniofacial development. METHODS In the present study 148 case-parent triads were assessed for three SNPs rs10749408, rs11199874 and rs10788165 near FGFR2 gene by using TaqMan allelic discrimination method. Transmission disequilibrium test (TDT) was used to find the allelic association. Linkage disequilibrium (LD) between the markers was analysed using Haploview program 4.2. Haplotype transmission effects were estimated using FAMHAP package. The possible parent-of-origin effects were assessed by likelihood based approach. RESULTS TDT analysis of three SNPs failed to show significant transmission disortion from heterozygous parents to the affected child and are not associated with NSCL/P. Linkage disequilibrium analysis showed strong LD between rs11199874 and rs10788165 SNPs. In the haplotype TDT analysis, GG haplotype of rs11199874-rs10788165 showed significant undertransmission to affected child. No significant parent-of-origin effects were observed. CONCLUSION The present study on noncoding variants near FGFR2 gene is not associated with NSCL/P. As the numbers of triads included in the study are less, further studies are needed including large sample size to find association with NSCL/P.
Collapse
|
3
|
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.
Collapse
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
| |
Collapse
|
4
|
α-lipoic acid protects testis and epididymis against linuron-induced oxidative toxicity in adult rats. Toxicol Res 2020; 36:343-357. [PMID: 33005594 DOI: 10.1007/s43188-019-00036-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 11/20/2019] [Accepted: 12/10/2019] [Indexed: 12/12/2022] Open
Abstract
Linuron is well known for its antiandrogenic property. However, the effects of linuron on testicular and epididymal pro- and antioxidant status are not well defined. On the other hand, α-lipoic acid is well known as universal antioxidant. Therefore, the purpose of this study was twofold: firstly to investigate whether linuron exposure alters antioxidant status in the testis and epididymis of rats and if so, whether the supplementation of α-lipoic acid mitigates linuron-induced oxidative toxicity in rats. To address this question, α-lipoic acid at a dose of 70 mg/Kg body weight (three times a week) was administered to linuron exposed rats (10 or 50 mg/Kg body weight, every alternate day over a period of 60 days), and the selected reproductive endpoints were analyzed after 60 days. Respective controls were maintained in parallel. Linuron at selected doses reduced testicular daily sperm count, and epididymal sperm count, sperm motility, sperm viability, and number of tail coiled sperm, reduced activity levels of 3β- and 17β-hydroxysteroid dehydrogenases, decreased expression levels of StAR mRNA, inhibition of testosterone levels, and elevated levels of testicular cholesterol in rats over controls. Linuron intoxication deteriorated the structural integrity of testis and epididymis associated with reduced the reproductive performance over controls. Conversely, α-lipoic acid supplementation enhanced sperm quality and improved the testosterone synthesis pathway in linuron exposed rats over its respective control. Administration of α-lipoic acid restored inhibition of testicular and epididymal enzymatic (superoxide dismutase, catalase, glutathione reductase, glutathione peroxidise) and non-enzymatic (glutathione content), increased lipid peroxidation and protein carbonyl content produced by linuron in rats. α-lipoic acid supplementation inhibited the expression levels of testicular caspase-3 mRNA levels and also its activity in linuron treated rats. To summate, α-lipoic acid-induced protection of reproductive health in linuron treated rats could be attributed to its antioxidant, and steroidogenic properties.
Collapse
|
5
|
Pinto AR, Silva J, Pinto R, Medeiros R. Aggressive prostate cancer phenotype and genome-wide association studies: where are we now? Pharmacogenomics 2020; 21:487-503. [PMID: 32343194 DOI: 10.2217/pgs-2019-0123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The majority of prostate cancer (PCa) is indolent, however, a percentage of patients are initially diagnosed with metastatic disease, for which there is a worse prognosis. There is a lack of biomarkers to identify men at greater risk for developing aggressive PCa. Genome-wide association studies (GWAS) scan the genome to search associations of SNPs with specific traits, like cancer. To date, eight GWAS have resulted in the reporting of 16 SNPs associated with aggressive PCa (p < 5.00 × 10-2). Still, validation studies need to be conducted to confirm the obtained results as GWAS can generate false-positive results. Furthermore, post-GWAS studies provide a better understanding of the functional consequences.
Collapse
Affiliation(s)
- Ana R Pinto
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal.,ICBAS, Abel Salazar Institute for the Biomedical Sciences, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Jani Silva
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal
| | - Ricardo Pinto
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal
| | - Rui Medeiros
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal.,Research Department, Portuguese League Against Cancer (NRNorte), Estrada Interior da Circunvalação, 6657, 4200-172 Porto, Portugal.,CEBIMED, Faculty of Health Sciences, Fernando Pessoa University, Praça 9 de Abril, 349, 4249-004 Porto, Portugal
| |
Collapse
|
6
|
Dias A, Kote-Jarai Z, Mikropoulos C, Eeles R. Prostate Cancer Germline Variations and Implications for Screening and Treatment. Cold Spring Harb Perspect Med 2018; 8:a030379. [PMID: 29101112 PMCID: PMC6120689 DOI: 10.1101/cshperspect.a030379] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Prostate cancer (PCa) is a highly heritable disease, and rapid evolution of sequencing technologies has enabled marked progression of our understanding of its genetic inheritance. A complex polygenic model that involves common low-penetrance susceptibility alleles causing individually small but cumulatively significant risk and rarer genetic variants causing greater risk represent the current most accepted model. Through genome-wide association studies, more than 100 single-nucleotide polymorphisms (SNPs) associated with PCa risk have been identified. Consistent reports have identified germline mutations in the genes BRCA1, BRCA2, MMR, HOXB13, CHEK2, and NBS1 as conferring moderate risks, with some leading to a more aggressive disease behavior. Considering this knowledge, several research strategies have been developed to determine whether targeted prostate screening using genetic information can overcome the limitations of population-based prostate-specific antigen (PSA) screening. Germline DNA-repair mutations are more frequent in men with metastatic disease than previously thought, and these patients have a more favorable response to therapy with poly(adenosine diphosphate [ADP]-ribose) polymerase (PARP) inhibitors. Genomic information is a practical tool that has the potential to enable the concept of precision medicine to become a reality in all steps of PCa patient care.
Collapse
Affiliation(s)
- Alexander Dias
- The Institute of Cancer Research, Sutton, Surrey SM2 5NG, United Kingdom
- The Institute of Cancer Research and Royal Marsden National Health Service (NHS) Foundation Trust, Academic Urology Unit and The Oncogenetics Team, London SW3 6JJ, United Kingdom
| | - Zsofia Kote-Jarai
- The Institute of Cancer Research, Sutton, Surrey SM2 5NG, United Kingdom
| | | | - Ros Eeles
- The Institute of Cancer Research, Sutton, Surrey SM2 5NG, United Kingdom
- The Institute of Cancer Research and Royal Marsden National Health Service (NHS) Foundation Trust, Academic Urology Unit and The Oncogenetics Team, London SW3 6JJ, United Kingdom
| |
Collapse
|
7
|
Prostate Cancer Genomics: Recent Advances and the Prevailing Underrepresentation from Racial and Ethnic Minorities. Int J Mol Sci 2018; 19:ijms19041255. [PMID: 29690565 PMCID: PMC5979433 DOI: 10.3390/ijms19041255] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 04/15/2018] [Accepted: 04/15/2018] [Indexed: 02/07/2023] Open
Abstract
Prostate cancer (CaP) is the most commonly diagnosed non-cutaneous cancer and the second leading cause of male cancer deaths in the United States. Among African American (AA) men, CaP is the most prevalent malignancy, with disproportionately higher incidence and mortality rates. Even after discounting the influence of socioeconomic factors, the effect of molecular and genetic factors on racial disparity of CaP is evident. Earlier studies on the molecular basis for CaP disparity have focused on the influence of heritable mutations and single-nucleotide polymorphisms (SNPs). Most CaP susceptibility alleles identified based on genome-wide association studies (GWAS) were common, low-penetrance variants. Germline CaP-associated mutations that are highly penetrant, such as those found in HOXB13 and BRCA2, are usually rare. More recently, genomic studies enabled by Next-Gen Sequencing (NGS) technologies have focused on the identification of somatic mutations that contribute to CaP tumorigenesis. These studies confirmed the high prevalence of ERG gene fusions and PTEN deletions among Caucasian Americans and identified novel somatic alterations in SPOP and FOXA1 genes in early stages of CaP. Individuals with African ancestry and other minorities are often underrepresented in these large-scale genomic studies, which are performed primarily using tumors from men of European ancestry. The insufficient number of specimens from AA men and other minority populations, together with the heterogeneity in the molecular etiology of CaP across populations, challenge the generalizability of findings from these projects. Efforts to close this gap by sequencing larger numbers of tumor specimens from more diverse populations, although still at an early stage, have discovered distinct genomic alterations. These research findings can have a direct impact on the diagnosis of CaP, the stratification of patients for treatment, and can help to address the disparity in incidence and mortality of CaP. This review examines the progress of understanding in CaP genetics and genomics and highlight the need to increase the representation from minority populations.
Collapse
|
8
|
Nowinski S, Santaolalla A, O'Leary B, Loda M, Mirchandani A, Emberton M, Van Hemelrijck M, Grigoriadis A. Systematic identification of functionally relevant risk alleles to stratify aggressive versus indolent prostate cancer. Oncotarget 2018; 9:12812-12824. [PMID: 29560112 PMCID: PMC5849176 DOI: 10.18632/oncotarget.24400] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 01/25/2018] [Indexed: 12/20/2022] Open
Abstract
Novel approaches for classification, including molecular features, are needed to direct therapy for men with low-grade prostate cancer (PCa), especially men on active surveillance. Risk alleles identified from genome-wide association studies (GWAS) could improve prognostication. Those risk alleles that coincided with genes and somatic copy number aberrations associated with progression of PCa were selected as the most relevant for prognostication. In a systematic literature review, a total of 698 studies were collated. Fifty-three unique SNPs residing in 29 genomic regions, including 8q24, 10q11 and 19q13, were associated with PCa progression. Functional studies implicated 21 of these single nucleotide polymorphisms (SNPs) as modulating the expression of genes in the androgen receptor pathway and several other oncogenes. In particular, 8q24, encompassing MYC, harbours a high density of SNPs conferring unfavourable pathological characteristics in low-grade PCa, while a copy number gain of MYC in low-grade PCa was associated with prostate-specific antigen recurrence after radical prostatectomy. By combining GWAS data with gene expression and structural rearrangements, risk alleles were identified that could provide a new basis for developing a prognostication tool to guide therapy for men with early prostate cancer.
Collapse
Affiliation(s)
- Salpie Nowinski
- Cancer Bioinformatics, Innovation Hub, Guy's Cancer Centre, King's College London, London, UK
| | - Aida Santaolalla
- Translational Oncology & Urology Research, King's College London, London, UK
| | - Ben O'Leary
- Breast Cancer NOW Centre, The Institute of Cancer Research, The Royal Marsden Hospital, London, UK
| | - Massimo Loda
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Ayesha Mirchandani
- Cancer Bioinformatics, Innovation Hub, Guy's Cancer Centre, King's College London, London, UK
| | - Mark Emberton
- Division of Surgery and Interventional Science, University College London, London, UK
| | | | - Anita Grigoriadis
- Cancer Bioinformatics, Innovation Hub, Guy's Cancer Centre, King's College London, London, UK
| |
Collapse
|
9
|
Bell CG, Gao F, Yuan W, Roos L, Acton RJ, Xia Y, Bell J, Ward K, Mangino M, Hysi PG, Wang J, Spector TD. Obligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci. Nat Commun 2018; 9:8. [PMID: 29295990 PMCID: PMC5750212 DOI: 10.1038/s41467-017-01586-1] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Accepted: 09/29/2017] [Indexed: 12/16/2022] Open
Abstract
Integrating epigenetic data with genome-wide association study (GWAS) results can reveal disease mechanisms. The genome sequence itself also shapes the epigenome, with CpG density and transcription factor binding sites (TFBSs) strongly encoding the DNA methylome. Therefore, genetic polymorphism impacts on the observed epigenome. Furthermore, large genetic variants alter epigenetic signal dosage. Here, we identify DNA methylation variability between GWAS-SNP risk and non-risk haplotypes. In three subsets comprising 3128 MeDIP-seq peripheral-blood DNA methylomes, we find 7173 consistent and functionally enriched Differentially Methylated Regions. 36.8% can be attributed to common non-SNP genetic variants. CpG-SNPs, as well as facilitative TFBS-motifs, are also enriched. Highlighting their functional potential, CpG-SNPs strongly associate with allele-specific DNase-I hypersensitivity sites. Our results demonstrate strong DNA methylation allelic differences driven by obligatory or facilitative genetic effects, with potential direct or regional disease-related repercussions. These allelic variations require disentangling from pure tissue-specific modifications, may influence array studies, and imply underestimated population variability in current reference epigenomes. Genomic polymorphisms affect the epigenome, which in turn influences how epigenome- and genome-wide analysis are interpreted. Here, the authors characterise allelic differences in DNA methylation driven by obligatory or facilitative genetic effects, which may affect disease-related loci.
Collapse
Affiliation(s)
- Christopher G Bell
- Department of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK. .,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK. .,Epigenomic Medicine, Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, SO17 1BJ, UK. .,Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, SO16 6YD, UK.
| | - Fei Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Wei Yuan
- Department of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK.,Institute of Cancer Research, Sutton, SM2 5NG, UK
| | - Leonie Roos
- Department of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK.,MRC London Institute of Medical Sciences, Imperial College London, Du Cane Road, London, W12 0NN, UK
| | - Richard J Acton
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK.,Epigenomic Medicine, Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, SO17 1BJ, UK.,Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, SO16 6YD, UK
| | | | - Jordana Bell
- Department of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Kirsten Ward
- Department of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Massimo Mangino
- Department of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Pirro G Hysi
- Department of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Jun Wang
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
| | - Timothy D Spector
- Department of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| |
Collapse
|
10
|
Hicks C, Ramani R, Sartor O, Bhalla R, Miele L, Dlamini Z, Gumede N. An Integrative Genomics Approach for Associating Genome-Wide Association Studies Information With Localized and Metastatic Prostate Cancer Phenotypes. Biomark Insights 2017; 12:1177271917695810. [PMID: 28469398 PMCID: PMC5391982 DOI: 10.1177/1177271917695810] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Accepted: 02/05/2017] [Indexed: 01/01/2023] Open
Abstract
High-throughput genotyping has enabled discovery of genetic variants associated with an increased risk of developing prostate cancer using genome-wide association studies (GWAS). The goal of this study was to associate GWAS information of patients with primary organ–confined and metastatic prostate cancer using gene expression data and to identify molecular networks and biological pathways enriched for genetic susceptibility variants involved in the 2 disease states. The analysis revealed gene signatures for the 2 disease states and a gene signature distinguishing the 2 patient groups. In addition, the analysis revealed molecular networks and biological pathways enriched for genetic susceptibility variants. The discovered pathways include the androgen, apoptosis, and insulinlike growth factor signaling pathways. This analysis established putative functional bridges between GWAS discoveries and the biological pathways involved in primary organ–confined and metastatic prostate cancer.
Collapse
Affiliation(s)
- Chindo Hicks
- Department of Genetics, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, USA
| | - Ritika Ramani
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Oliver Sartor
- Department of Medicine, Tulane University, New Orleans, LA, USA
| | - Ritu Bhalla
- Department of Pathology, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, USA
| | - Lucio Miele
- Department of Genetics, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, USA
| | - Zodwa Dlamini
- Department of Biology, Mangosuthu University of Technology, Durban, South Africa
| | - Njabulo Gumede
- Department of Biology, Mangosuthu University of Technology, Durban, South Africa
| |
Collapse
|
11
|
Genome-wide association study of prostate-specific antigen levels identifies novel loci independent of prostate cancer. Nat Commun 2017; 8:14248. [PMID: 28139693 PMCID: PMC5290311 DOI: 10.1038/ncomms14248] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 12/12/2016] [Indexed: 12/22/2022] Open
Abstract
Prostate-specific antigen (PSA) levels have been used for detection and surveillance of prostate cancer (PCa). However, factors other than PCa—such as genetics—can impact PSA. Here we present findings from a genome-wide association study (GWAS) of PSA in 28,503 Kaiser Permanente whites and 17,428 men from replication cohorts. We detect 40 genome-wide significant (P<5 × 10−8) single-nucleotide polymorphisms (SNPs): 19 novel, 15 previously identified for PSA (14 of which were also PCa-associated), and 6 previously identified for PCa only. Further analysis incorporating PCa cases suggests that at least half of the 40 SNPs are PSA-associated independent of PCa. The 40 SNPs explain 9.5% of PSA variation in non-Hispanic whites, and the remaining GWAS SNPs explain an additional 31.7%; this percentage is higher in younger men, supporting the genetic basis of PSA levels. These findings provide important information about genetic markers for PSA that may improve PCa screening, thereby reducing over-diagnosis and over-treatment. Prostate-specific antigen is used as a biomarker of prostate cancer, but levels can be affected by other factors not related to cancer. Here, the authors find genes associated with prostate specific antigen levels in healthy men, which could be used to reduce over-diagnosis and over-treatment.
Collapse
|
12
|
Lin HY, Cheng CH, Chen DT, Chen YA, Park JY. Coexpression and expression quantitative trait loci analyses of the angiogenesis gene-gene interaction network in prostate cancer. Transl Cancer Res 2016; 5:S951-S963. [PMID: 28664150 DOI: 10.21037/tcr.2016.10.55] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Prostate cancer (PCa) shows a substantial clinical heterogeneity. The existing risk classification for PCa prognosis based on clinical factors is not sufficient. Although some biomarkers for PCa aggressiveness have been identified, their underlying functional mechanisms are still unclear. We previously reported a gene-gene interaction network associated with PCa aggressiveness based on single nucleotide polymorphism (SNP)-SNP interactions in the angiogenesis pathway. The goal of this study is to investigate potential functional evidence of the involvement of the genes in this gene-gene interaction network. METHODS A total of 11 angiogenesis genes were evaluated. The crosstalks among genes were examined through coexpression and expression quantitative trait loci (eQTL) analyses. The study population is 352 Caucasian PCa patients in the Cancer Genome Atlas (TCGA) study. The pairwise coexpressions among the genes of interest were evaluated using the Spearman coefficient. The eQTL analyses were tested using the Kruskal-Wallis test. RESULTS Among all within gene and 55 possible pairwise gene evaluations, 12 gene pairs and one gene (MMP16) showed strong coexpression or significant eQTL evidence. There are nine gene pairs with a strong correlation (Spearman correlation ≥0.6, P<1×10-13). The top coexpressed gene pairs are EGFR-SP1 (r=0.73), ITGB3-HSPG2 (r=0.71), ITGB3-CSF1 (r=0.70), MMP16-FBLN5 (r=0.68), ITGB3-MMP16 (r=0.65), ITGB3-ROBO1 (r=0.62), CSF1-HSPG2 (r=0.61), CSF1-FBLN5 (r=0.6), and CSF1-ROBO1 (r=0.60). One cis-eQTL in MMP16 and five trans-eQTLs (MMP16-ESR1, ESR1-ROBO1, CSF1-ROBO1, HSPG2-ROBO1, and FBLN5-CSF1) are significant with a false discovery rate q value less than 0.2. CONCLUSIONS These findings provide potential biological evidence for the gene-gene interactions in this angiogenesis network. These identified interactions between the angiogenesis genes not only provide information for PCa etiology mechanism but also may serve as integrated biomarkers for building a risk prediction model for PCa aggressiveness.
Collapse
Affiliation(s)
- Hui-Yi Lin
- Biostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
| | - Chia-Ho Cheng
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Dung-Tsa Chen
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Y Ann Chen
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Jong Y Park
- Department of Cancer Epidemiology, Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| |
Collapse
|
13
|
|
14
|
Hou X, Du Y, Deng Y, Wu J, Cao G. Sleeping Beauty transposon system for genetic etiological research and gene therapy of cancers. Cancer Biol Ther 2015; 16:8-16. [PMID: 25455252 DOI: 10.4161/15384047.2014.986944] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Carcinogenesis is etiologically associated with somatic mutations of critical genes. Recently, a number of somatic mutations and key molecules have been found to be involved in functional networks affecting cancer progression. Suitable animal models are required to validate cancer-promoting or -inhibiting capacities of these mutants and molecules. Sleeping Beauty transposon system consists of a transposon that carries gene(s) of interest and a transposase that recognizes, excises, and reinserts genes in given location of the genome. It can create both gain-of-function and loss-of-function mutations, thus being frequently chosen to investigate the etiological mechanisms and gene therapy for cancers in animal models. In this review, we summarized current advances of Sleeping Beauty transposon system in revealing molecular mechanism of cancers and improving gene therapy. Understanding molecular mechanisms by which driver mutations contribute to carcinogenesis and metastasis may pave the way for the development of innovative prophylactic and therapeutic strategies against malignant diseases.
Collapse
Key Words
- 7, 12-dimethylbenzanthracene/12-O-tetradecanoylphorbol-13-acetate
- Alb-Cre, Albumin promoter-Cre
- CAG promoter, CMV enhancer/chicken β-actin promoter
- CAR, chimeric antigen receptor
- CIS, common insertion site
- CMV, chimeric cytomegalovirus
- CRC, colorectal cancer
- Cre, cyclization recombination enzyme
- DDE, Asp, Asp, Glu
- DMBA/TPA
- DR, direct orientation
- Fah, fumarylacetoacetate hydrolase gene
- GWAS, gnome wide analysis study
- HBV, Hepatitis B Virus
- HBx, HBV X protein
- HCC, hepatocellular carcinoma
- IRs, inverted repeat sequences
- LsL, loxP-stop-loxP
- MPNSTs, malignant peripheral nerve sheath tumor
- MSCV, murine stem cell virus
- PAI, Pro, Ala, Ile
- PBMCs, peripheral blood mononuclear cells
- RED, Arg, Glu, Asp
- RosaSBaseLsL, Cre-inducible SBase allele
- Rtl1, Retrotransposon-like 1
- SB, Sleeping Beauty
- SBase, Sleeping Beauty transposase
- Sleeping Beauty transposon system
- StatinAE, angiostatin-endostatin fusion gene
- Trp53, transformation related protein 53
- animal model
- driver
- gene function
- gene therapy
- malignant diseases
- sgRNA, single guide RNA
- shp53, short hairpin RNA against the Trp53 gene
- somatic mutation
Collapse
Affiliation(s)
- Xiaomei Hou
- a Department of Epidemiology ; Second Military Medical University ; Shanghai , China
| | | | | | | | | |
Collapse
|
15
|
Gilbert R, Martin RM, Evans DM, Tilling K, Davey Smith G, Kemp JP, Lane JA, Hamdy FC, Neal DE, Donovan JL, Metcalfe C. Incorporating Known Genetic Variants Does Not Improve the Accuracy of PSA Testing to Identify High Risk Prostate Cancer on Biopsy. PLoS One 2015; 10:e0136735. [PMID: 26431041 PMCID: PMC4592274 DOI: 10.1371/journal.pone.0136735] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Accepted: 07/24/2015] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION Prostate-specific antigen (PSA) testing is a widely accepted screening method for prostate cancer, but with low specificity at thresholds giving good sensitivity. Previous research identified four single nucleotide polymorphisms (SNPs) principally associated with circulating PSA levels rather than with prostate cancer risk (TERT rs2736098, FGFR2 rs10788160, TBX3 rs11067228, KLK3 rs17632542). Removing the genetic contribution to PSA levels may improve the ability of the remaining biologically-determined variation in PSA to discriminate between high and low risk of progression within men with identified prostate cancer. We investigate whether incorporating information on the PSA-SNPs improves the discrimination achieved by a single PSA threshold in men with raised PSA levels. MATERIALS AND METHODS Men with PSA between 3-10 ng/mL and histologically-confirmed prostate cancer were categorised as high or low risk of progression (Low risk: Gleason score≤6 and stage T1-T2a; High risk: Gleason score 7-10 or stage T2C). We used the combined genetic effect of the four PSA-SNPs to calculate a genetically corrected PSA risk score. We calculated the Area under the Curve (AUC) to determine how well genetically corrected PSA risk scores distinguished men at high risk of progression from low risk men. RESULTS The analysis includes 868 men with prostate cancer (Low risk: 684 (78.8%); High risk: 184 (21.2%)). Receiver operating characteristic (ROC) curves indicate that including the 4 PSA-SNPs does not improve the performance of measured PSA as a screening tool for high/low risk prostate cancer (measured PSA level AUC = 59.5% (95% CI: 54.7,64.2) vs additionally including information from the 4 PSA-SNPs AUC = 59.8% (95% CI: 55.2,64.5) (p-value = 0.40)). CONCLUSION We demonstrate that genetically correcting PSA for the combined genetic effect of four PSA-SNPs, did not improve discrimination between high and low risk prostate cancer in men with raised PSA levels (3-10 ng/mL). Replication and gaining more accurate estimates of the effects of the 4 PSA-SNPs and additional variants associated with PSA levels and not prostate cancer could be obtained from subsequent GWAS from larger prospective studies.
Collapse
Affiliation(s)
- Rebecca Gilbert
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Richard M. Martin
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - David M. Evans
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Kate Tilling
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - John P. Kemp
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - J. Athene Lane
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Freddie C. Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - David E. Neal
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Jenny L. Donovan
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Chris Metcalfe
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| |
Collapse
|
16
|
Nam RK, Amemiya Y, Benatar T, Wallis CJD, Stojcic-Bendavid J, Bacopulos S, Sherman C, Sugar L, Naeim M, Yang W, Zhang A, Klotz LH, Narod SA, Seth A. Identification and Validation of a Five MicroRNA Signature Predictive of Prostate Cancer Recurrence and Metastasis: A Cohort Study. J Cancer 2015; 6:1160-71. [PMID: 26516365 PMCID: PMC4615353 DOI: 10.7150/jca.13397] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Accepted: 08/02/2015] [Indexed: 01/01/2023] Open
Abstract
Background: MicroRNA (miRNA) have been shown to be important in regulating gene expression in prostate cancer. We used next generation miRNA sequencing to conduct a whole miRNome analysis to identify miRNAs associated with prostate cancer metastasis. Methods: We conducted discovery and validation analyses of miRNAs among a total of 546 men who underwent surgery for prostate cancer using the development of metastasis as an endpoint. Genome wide analysis was conducted among the discovery group (n=31) to identify new miRNAs associated with prostate cancer metastasis. Selected miRNAs were then analyzed using qPCR on prostatectomy specimens from an independent cohort (n=515) to determine whether their expression could predict the development of metastasis after surgery. To examine the biology underlying these associations, we created prostate cancer cell lines which overexpressed miR-301a for in vitro and in vivo functional assays. Results: We identified 33 miRNAs associated with prostate cancer metastasis and selected a panel comprising miRs-301a, 652, 454, 223 and 139 which strongly predicted metastasis (AUC=95.3%, 95%C.I.:84%-99%). Among the validation cohort, the 15-year metastasis-free survival was 77.5% (95% C.I.:63.9%-86.4%) for patients with a high miRNA panel score and 98.8% (95% C.I.:94.9%-99.7%, p<0.0001 for difference) for those with a low score. After adjusting for grade, stage, and PSA, the hazard ratio for metastasis was 4.3 (95% C.I.: 1.7-11.1, p=0.002) for patients with a high miRNA panel score, compared to those with a low score. Prostate cancer cell lines overexpressing miR-301a had in significantly higher tumor growth and metastasis in a xenograft mouse model. Conclusions: A panel of miRNAs is associated with prostate cancer metastasis. These could be used as potential new prognostic factors in the surgical management of prostate cancer.
Collapse
Affiliation(s)
- Robert K Nam
- 1. Division of Urology, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Yutaka Amemiya
- 2. Department of Anatomic Pathology, Platform Biological Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Tania Benatar
- 2. Department of Anatomic Pathology, Platform Biological Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Christopher J D Wallis
- 1. Division of Urology, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Jessica Stojcic-Bendavid
- 1. Division of Urology, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Stephanie Bacopulos
- 2. Department of Anatomic Pathology, Platform Biological Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Christopher Sherman
- 3. Department of Laboratory Medicine and Pathobiology, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Linda Sugar
- 3. Department of Laboratory Medicine and Pathobiology, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Magda Naeim
- 3. Department of Laboratory Medicine and Pathobiology, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Wenyi Yang
- 2. Department of Anatomic Pathology, Platform Biological Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Aiguo Zhang
- 2. Department of Anatomic Pathology, Platform Biological Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Laurence H Klotz
- 1. Division of Urology, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| | - Steven A Narod
- 4. Department of Public Health Sciences, University of Toronto, 790 Bay St., Toronto, ON, M5G 1N8, Canada
| | - Arun Seth
- 2. Department of Anatomic Pathology, Platform Biological Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave., Toronto, ON, M4N3M5, Canada
| |
Collapse
|
17
|
He Y, Gu J, Strom S, Logothetis CJ, Kim J, Wu X. The prostate cancer susceptibility variant rs2735839 near KLK3 gene is associated with aggressive prostate cancer and can stratify gleason score 7 patients. Clin Cancer Res 2015; 20:5133-5139. [PMID: 25274378 DOI: 10.1158/1078-0432.ccr-14-0661] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE Gleason score (GS) 7 prostate cancer is a heterogeneous disease with different clinical behavior. We sought to identify genetic biomarkers that may predict the aggressiveness of GS 7 diseases. EXPERIMENTAL DESIGN We genotyped 72 prostate cancer susceptibility SNPs identified in genome-wide association studies in 1,827 white men with histologically confirmed prostate adenocarcinoma. SNPs associated with disease aggressiveness were identified by comparing high-aggressive (GS ≥8) and low-aggressive (GS ≤6) cases. The significant SNPs were then tested to see whether they could further stratify GS 7 prostate cancer. RESULTS Three SNPs-rs2735839, rs10486567, and rs103294-were associated with biopsy-proven high-aggressive (GS ≥8) prostate cancer (P < 0.05). Furthermore, the frequency of the variant allele (A) at rs2735839 was significantly higher in patients with biopsy-proven GS 4+3 disease than in those with GS 3 + 4 disease (P = 0.003). In multivariate logistic regression analysis, patients carrying the A allele at rs2735839 exhibited a 1.85-fold (95% confidence interval, 1.31-2.61) increased risk of being GS 4 + 3 compared with those with GS 3 + 4. The rs2735839 is located 600 base pair downstream of the KLK3 gene (encoding PSA) on 19q13.33 and has been shown to modulate PSA level, providing strong biologic plausibility for its association with prostate cancer aggressiveness. CONCLUSIONS We confirmed the association of the rs2735839 with high-aggressive prostate cancer (GS ≥8). Moreover, we reported for the first time that rs2735839 can stratify GS 7 patients, which would be clinically important for more accurately assessing the clinical behavior of the intermediate-grade prostate cancer and for tailoring personalized treatment and posttreatment management.
Collapse
Affiliation(s)
- Yonggang He
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Gu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sara Strom
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christopher J Logothetis
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeri Kim
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| |
Collapse
|
18
|
Helfand BT, Roehl KA, Cooper PR, McGuire BB, Fitzgerald LM, Cancel-Tassin G, Cornu JN, Bauer S, Van Blarigan EL, Chen X, Duggan D, Ostrander EA, Gwo-Shu M, Zhang ZF, Chang SC, Jeong S, Fontham ETH, Smith G, Mohler JL, Berndt SI, McDonnell SK, Kittles R, Rybicki BA, Freedman M, Kantoff PW, Pomerantz M, Breyer JP, Smith JR, Rebbeck TR, Mercola D, Isaacs WB, Wiklund F, Cussenot O, Thibodeau SN, Schaid DJ, Cannon-Albright L, Cooney KA, Chanock SJ, Stanford JL, Chan JM, Witte J, Xu J, Bensen JT, Taylor JA, Catalona WJ. Associations of prostate cancer risk variants with disease aggressiveness: results of the NCI-SPORE Genetics Working Group analysis of 18,343 cases. Hum Genet 2015; 134:439-50. [PMID: 25715684 PMCID: PMC4586077 DOI: 10.1007/s00439-015-1534-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Accepted: 02/06/2015] [Indexed: 01/18/2023]
Abstract
Genetic studies have identified single nucleotide polymorphisms (SNPs) associated with the risk of prostate cancer (PC). It remains unclear whether such genetic variants are associated with disease aggressiveness. The NCI-SPORE Genetics Working Group retrospectively collected clinicopathologic information and genotype data for 36 SNPs which at the time had been validated to be associated with PC risk from 25,674 cases with PC. Cases were grouped according to race, Gleason score (Gleason ≤ 6, 7, ≥ 8) and aggressiveness (non-aggressive, intermediate, and aggressive disease). Statistical analyses were used to compare the frequency of the SNPs between different disease cohorts. After adjusting for multiple testing, only PC-risk SNP rs2735839 (G) was significantly and inversely associated with aggressive (OR = 0.77; 95 % CI 0.69-0.87) and high-grade disease (OR = 0.77; 95 % CI 0.68-0.86) in European men. Similar associations with aggressive (OR = 0.72; 95 % CI 0.58-0.89) and high-grade disease (OR = 0.69; 95 % CI 0.54-0.87) were documented in African-American subjects. The G allele of rs2735839 was associated with disease aggressiveness even at low PSA levels (<4.0 ng/mL) in both European and African-American men. Our results provide further support that a PC-risk SNP rs2735839 near the KLK3 gene on chromosome 19q13 may be associated with aggressive and high-grade PC. Future prospectively designed, case-case GWAS are needed to identify additional SNPs associated with PC aggressiveness.
Collapse
Affiliation(s)
- Brian T Helfand
- Department of Surgery, Division of Urology, John and Carol Walter Center for Urological Health, NorthShore University Health System, Evanston, IL, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
19
|
Wallis CJ, Nam RK. Prostate Cancer Genetics: A Review. EJIFCC 2015; 26:79-91. [PMID: 27683484 PMCID: PMC4975354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Over the past decades, research has focussed on identifying the genetic underpinnings of prostate cancer. It has been recognized that a number of forms of genetic changes coupled with epigenetic and gene expression changes can increase the prediction to develop prostate cancer. This review outlines the role of somatic copy number alterations (SCNAs), structural rearrangements, point mutations, and single nucleotide polymorphisms (SNPs) as well as miRNAs. Identifying relevant genetic changes offers the ability to develop novel biomarkers to allow early and accurate detection of prostate cancer as well as provide risk stratification of patients following their diagnosis. The concept of personalized or individualized medicine has gained significant attention. Therefore, a better understanding of the genetic and metabolic pathways underlying prostate cancer development offers the opportunity to explore new therapeutic interventions with the possibility of offering patient-specific targeted therapy.
Collapse
Affiliation(s)
| | - Robert K. Nam
- 2075 Bayview Ave., Room MG-406 Toronto, ON M4N 3MS Canada 416-480-5075416-480-6121Robert.Nam(5)utoronto.ca
| |
Collapse
|
20
|
Peprah E, Xu H, Tekola-Ayele F, Royal CD. Genome-wide association studies in Africans and African Americans: expanding the framework of the genomics of human traits and disease. Public Health Genomics 2014; 18:40-51. [PMID: 25427668 DOI: 10.1159/000367962] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2014] [Accepted: 08/29/2014] [Indexed: 01/11/2023] Open
Abstract
Genomic research is one of the tools for elucidating the pathogenesis of diseases of global health relevance and paving the research dimension to clinical and public health translation. Recent advances in genomic research and technologies have increased our understanding of human diseases, genes associated with these disorders, and the relevant mechanisms. Genome-wide association studies (GWAS) have proliferated since the first studies were published several years ago and have become an important tool in helping researchers comprehend human variation and the role genetic variants play in disease. However, the need to expand the diversity of populations in GWAS has become increasingly apparent as new knowledge is gained about genetic variation. Inclusion of diverse populations in genomic studies is critical to a more complete understanding of human variation and elucidation of the underpinnings of complex diseases. In this review, we summarize the available data on GWAS in recent African ancestry populations within the western hemisphere (i.e. African Americans and peoples of the Caribbean) and continental African populations. Furthermore, we highlight ways in which genomic studies in populations of recent African ancestry have led to advances in the areas of malaria, HIV, prostate cancer, and other diseases. Finally, we discuss the advantages of conducting GWAS in recent African ancestry populations in the context of addressing existing and emerging global health conditions.
Collapse
|
21
|
Weng PH, Huang YL, Page JH, Chen JH, Xu J, Koutros S, Berndt S, Chanock S, Yeager M, Witte JS, Eeles RA, Easton DF, Neal DE, Donovan J, Hamdy FC, Muir KR, Giles G, Severi G, Smith JR, Balistreri CR, Shui IM, Chen YC. Polymorphisms of an innate immune gene, toll-like receptor 4, and aggressive prostate cancer risk: a systematic review and meta-analysis. PLoS One 2014; 9:e110569. [PMID: 25360682 PMCID: PMC4215920 DOI: 10.1371/journal.pone.0110569] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2014] [Accepted: 09/15/2014] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Toll-like receptor 4 (TLR4) is one of the best known TLR members expressed on the surface of several leukocytes and tissue cells and has a key function in detecting pathogen and danger-associated molecular patterns. The role of TLR4 in the pathophysiology of several age-related diseases is also well recognized, such as prostate cancer (PCa). TLR4 polymorphisms have been related to PCa risk, but the relationship between TLR4 genotypes and aggressive PCa risk has not been evaluated by any systematic reviews. METHODS We performed a systematic review and meta-analysis of candidate-gene and genome-wide association studies analyzing this relationship and included only white population. Considering appropriate criteria, only nine studies were analyzed in the meta-analysis, including 3,937 aggressive PCa and 7,382 controls. RESULTS Using random effects model, no significant association was found in the ten TLR4 SNPs reported by at least four included studies under any inheritance model (rs2737191, rs1927914, rs10759932, rs1927911, rs11536879, rs2149356, rs4986790, rs11536889, rs7873784, and rs1554973). Pooled estimates from another ten TLR4 SNPs reported by three studies also showed no significant association (rs10759930, rs10116253, rs11536869, rs5030717, rs4986791, rs11536897, rs1927906, rs913930, rs1927905, and rs7045953). Meta-regression revealed that study type was not a significant source of between-study heterogeneity. CONCLUSIONS TLR4 polymorphisms were not significantly associated with the risk of aggressive PCa.
Collapse
Affiliation(s)
- Pei-Hsuan Weng
- Department of Family Medicine, Taiwan Adventist Hospital, Taipei, Taiwan
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Yi-Ling Huang
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, United States of America
| | - John H. Page
- Channing Laboratory, Department of Epidemiology, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Jen-Hau Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan
| | - Jianfeng Xu
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, United States of America
| | - Sonja Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, United States of America
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, United States of America
| | - Meredith Yeager
- Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland, United States of America
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, United States of America
| | - John S. Witte
- Department of Epidemiology and Biostatistics and Center of Human Genetics, University of California San Francisco, San Francisco, California, United States of America
| | | | - Douglas F. Easton
- Centre for Cancer Epidemiology, Departments of Public Health and Primary Care and Oncology, University of Cambridge, Strangeways Laboratory, Cambridge, United Kingdom
| | - David E. Neal
- Surgical Oncology (Uro-Oncology: S4), Departments of Oncology and Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Jenny Donovan
- Department of Social Medicine, University of Bristol, Bristol, United Kingdom
| | - Freddie C. Hamdy
- Academic Urology Unit, University of Sheffield, Sheffield, United Kingdom
| | - Kenneth R. Muir
- University of Nottingham Medical School, Queens Medical Centre, Nottingham, United Kingdom
| | - Graham Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
| | - Jeffrey R. Smith
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Carmela R. Balistreri
- Department of Pathobiology and Medical and Forensic Biotechnologies, University of Palermo, Palermo, Italy
| | - Irene M. Shui
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Yen-Ching Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Research Center for Genes, Environment and Human Health, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan
| |
Collapse
|
22
|
Knipe DW, Evans DM, Kemp JP, Eeles R, Easton DF, Kote-Jarai Z, Al Olama AA, Benlloch S, Donovan JL, Hamdy FC, Neal DE, Smith GD, Lathrop M, Martin RM. Genetic variation in prostate-specific antigen-detected prostate cancer and the effect of control selection on genetic association studies. Cancer Epidemiol Biomarkers Prev 2014; 23:1356-1365. [PMID: 24753544 PMCID: PMC4082405 DOI: 10.1158/1055-9965.epi-13-0889] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Only a minority of the genetic components of prostate cancer risk have been explained. Some observed associations of SNPs with prostate cancer might arise from associations of these SNPs with circulating prostate-specific antigen (PSA) because PSA values are used to select controls. METHODS We undertook a genome-wide association study (GWAS) of screen-detected prostate cancer (ProtecT: 1,146 cases and 1,804 controls); meta-analyzed the results with those from the previously published UK Genetic Prostate Cancer Study (1,854 cases and 1,437 controls); investigated associations of SNPs with prostate cancer using either "low" (PSA < 0.5 ng/mL) or "high" (PSA ≥ 3 ng/mL, biopsy negative) PSA controls; and investigated associations of SNPs with PSA. RESULTS The ProtecT GWAS confirmed previously reported associations of prostate cancer at three loci: 10q11.23, 17q24.3, and 19q13.33. The meta-analysis confirmed associations of prostate cancer with SNPs near four previously identified loci (8q24.21,10q11.23, 17q24.3, and 19q13.33). When comparing prostate cancer cases with low PSA controls, alleles at genetic markers rs1512268, rs445114, rs10788160, rs11199874, rs17632542, rs266849, and rs2735839 were associated with an increased risk of prostate cancer, but the effect-estimates were attenuated to the null when using high PSA controls (Pheterogeneity in effect-estimates < 0.04). We found a novel inverse association of rs9311171-T with circulating PSA. CONCLUSIONS Differences in effect-estimates for prostate cancer observed when comparing low versus high PSA controls may be explained by associations of these SNPs with PSA. IMPACT These findings highlight the need for inferences from genetic studies of prostate cancer risk to carefully consider the influence of control selection criteria.
Collapse
Affiliation(s)
- Duleeka W Knipe
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - David M Evans
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC / University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - John P. Kemp
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC / University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Rosalind Eeles
- The Institute of Cancer Research, Sutton, Surrey, UK
- The Royal Marsden National Health Service Foundation Trust, Sutton, Surrey and London, UK
| | - Douglas F Easton
- Cancer Research UK Genetic Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Cambridge, UK
| | - Zsofia Kote-Jarai
- The Institute of Cancer Research, Sutton, Surrey, UK
- The Royal Marsden National Health Service Foundation Trust, Sutton, Surrey and London, UK
| | - Ali Amin Al Olama
- Cancer Research UK Genetic Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Cambridge, UK
| | - Sara Benlloch
- Cancer Research UK Genetic Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Cambridge, UK
| | - Jenny L. Donovan
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Freddie C. Hamdy
- Nuffield Department of Surgery, University of Oxford, Oxford, United Kingdom
| | - David E Neal
- The Royal Marsden National Health Service Foundation Trust, Sutton, Surrey and London, UK
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - George Davey Smith
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC / University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Mark Lathrop
- Commissariat à l‘Energie Atomique, Center National de Génotypage, Evry, France
- McGill University-Génome Québec Innovation Centre, Montreal, Canada
| | - Richard M Martin
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC / University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| |
Collapse
|
23
|
Restoring TGFβ1 pathway-related microRNAs: possible impact in metastatic prostate cancer development. Tumour Biol 2014; 35:6245-53. [PMID: 24763824 DOI: 10.1007/s13277-014-1887-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Accepted: 03/25/2014] [Indexed: 02/06/2023] Open
Abstract
In developed countries, prostate cancer (PC) is the neoplasia more frequently diagnosed in men. The signaling pathway induced by the transforming growth factor β1 (TGFβ1) has an important role in cell growth, differentiation, and development, the downregulation of this pathway being associated with cancer development. In PC, the activation of this signaling pathway is lost, resulting in favoring of tumor growth, proliferation, and evasion of apoptosis. Several studies have shown that microRNAs (miRNAs), small non-coding RNA, are closely associated with the development, invasion, and metastasis, suggesting that they have a critical role in cancer development. Recently, Smad proteins, the signal transducers of the TGFβ1 signaling pathway, were found to regulate miRNA expression, through both transcriptional and posttranscriptional mechanisms. In this review, we summarize the mechanisms underlying Smad-mediated regulation of miRNA biogenesis and the effects on cancer development, particularly in PC. We identify that TGFβ1-related miR-143, miR-145, miR-146a, and miR-199a may have a key role in the development of prostate cancer metastasis and the restoration of their expression may be a promising therapeutic strategy for PC treatment.
Collapse
|
24
|
Van den Broeck T, Joniau S, Clinckemalie L, Helsen C, Prekovic S, Spans L, Tosco L, Van Poppel H, Claessens F. The role of single nucleotide polymorphisms in predicting prostate cancer risk and therapeutic decision making. BIOMED RESEARCH INTERNATIONAL 2014; 2014:627510. [PMID: 24701578 PMCID: PMC3950427 DOI: 10.1155/2014/627510] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Accepted: 01/07/2014] [Indexed: 12/20/2022]
Abstract
Prostate cancer (PCa) is a major health care problem because of its high prevalence, health-related costs, and mortality. Epidemiological studies have suggested an important role of genetics in PCa development. Because of this, an increasing number of single nucleotide polymorphisms (SNPs) had been suggested to be implicated in the development and progression of PCa. While individual SNPs are only moderately associated with PCa risk, in combination, they have a stronger, dose-dependent association, currently explaining 30% of PCa familial risk. This review aims to give a brief overview of studies in which the possible role of genetic variants was investigated in clinical settings. We will highlight the major research questions in the translation of SNP identification into clinical practice.
Collapse
Affiliation(s)
- Thomas Van den Broeck
- Department of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| | - Steven Joniau
- Department of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Liesbeth Clinckemalie
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| | - Christine Helsen
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| | - Stefan Prekovic
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| | - Lien Spans
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| | - Lorenzo Tosco
- Department of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Hendrik Van Poppel
- Department of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Frank Claessens
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| |
Collapse
|
25
|
Hazelett DJ, Rhie SK, Gaddis M, Yan C, Lakeland DL, Coetzee SG, Henderson BE, Noushmehr H, Cozen W, Kote-Jarai Z, Eeles RA, Easton DF, Haiman CA, Lu W, Farnham PJ, Coetzee GA. Comprehensive functional annotation of 77 prostate cancer risk loci. PLoS Genet 2014; 10:e1004102. [PMID: 24497837 PMCID: PMC3907334 DOI: 10.1371/journal.pgen.1004102] [Citation(s) in RCA: 146] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2013] [Accepted: 11/14/2013] [Indexed: 11/19/2022] Open
Abstract
Genome-wide association studies (GWAS) have revolutionized the field of cancer genetics, but the causal links between increased genetic risk and onset/progression of disease processes remain to be identified. Here we report the first step in such an endeavor for prostate cancer. We provide a comprehensive annotation of the 77 known risk loci, based upon highly correlated variants in biologically relevant chromatin annotations--we identified 727 such potentially functional SNPs. We also provide a detailed account of possible protein disruption, microRNA target sequence disruption and regulatory response element disruption of all correlated SNPs at r(2) ≥ 0.88%. 88% of the 727 SNPs fall within putative enhancers, and many alter critical residues in the response elements of transcription factors known to be involved in prostate biology. We define as risk enhancers those regions with enhancer chromatin biofeatures in prostate-derived cell lines with prostate-cancer correlated SNPs. To aid the identification of these enhancers, we performed genomewide ChIP-seq for H3K27-acetylation, a mark of actively engaged enhancers, as well as the transcription factor TCF7L2. We analyzed in depth three variants in risk enhancers, two of which show significantly altered androgen sensitivity in LNCaP cells. This includes rs4907792, that is in linkage disequilibrium (r(2) = 0.91) with an eQTL for NUDT11 (on the X chromosome) in prostate tissue, and rs10486567, the index SNP in intron 3 of the JAZF1 gene on chromosome 7. Rs4907792 is within a critical residue of a strong consensus androgen response element that is interrupted in the protective allele, resulting in a 56% decrease in its androgen sensitivity, whereas rs10486567 affects both NKX3-1 and FOXA-AR motifs where the risk allele results in a 39% increase in basal activity and a 28% fold-increase in androgen stimulated enhancer activity. Identification of such enhancer variants and their potential target genes represents a preliminary step in connecting risk to disease process.
Collapse
Affiliation(s)
- Dennis J. Hazelett
- Departments of Urology and Preventive Medicine, Norris Cancer Center, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - Suhn Kyong Rhie
- Departments of Urology and Preventive Medicine, Norris Cancer Center, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - Malaina Gaddis
- Department of Biochemistry and Molecular Biology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Chunli Yan
- Departments of Urology and Preventive Medicine, Norris Cancer Center, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - Daniel L. Lakeland
- Sonny Astani Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, California, United States of America
| | - Simon G. Coetzee
- Department of Genetics, University of São Paulo, Ribeirão Preto, Brazil
| | - Ellipse/GAME-ON consortium
- Department of Preventive Medicine, Norris Cancer Center, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | | | - Brian E. Henderson
- Department of Preventive Medicine, Norris Cancer Center, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - Houtan Noushmehr
- Department of Genetics, University of São Paulo, Ribeirão Preto, Brazil
| | - Wendy Cozen
- USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | | | - Rosalind A. Eeles
- The Institute of Cancer Research, Sutton, United Kingdom
- Royal Marsden National Health Service (NHS) Foundation Trust, London and Sutton, United Kingdom
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Christopher A. Haiman
- Department of Preventive Medicine, Norris Cancer Center, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - Wange Lu
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Biochemistry and Molecular Biology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Peggy J. Farnham
- Department of Biochemistry and Molecular Biology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Gerhard A. Coetzee
- Departments of Urology and Preventive Medicine, Norris Cancer Center, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| |
Collapse
|
26
|
Tindall EA, Bornman MSR, van Zyl S, Segone AM, Monare LR, Venter PA, Hayes VM. Addressing the contribution of previously described genetic and epidemiological risk factors associated with increased prostate cancer risk and aggressive disease within men from South Africa. BMC Urol 2013; 13:74. [PMID: 24373635 PMCID: PMC3882498 DOI: 10.1186/1471-2490-13-74] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2013] [Accepted: 12/24/2013] [Indexed: 11/30/2022] Open
Abstract
Background Although African ancestry represents a significant risk factor for prostate cancer, few studies have investigated the significance of prostate cancer and relevance of previously defined genetic and epidemiological prostate cancer risk factors within Africa. We recently established the Southern African Prostate Cancer Study (SAPCS), a resource for epidemiological and genetic analysis of prostate cancer risk and outcomes in Black men from South Africa. Biased towards highly aggressive prostate cancer disease, this is the first reported data analysis. Methods The SAPCS is an ongoing population-based study of Black men with or without prostate cancer. Pilot analysis was performed for the first 837 participants, 522 cases and 315 controls. We investigate 46 pre-defined prostate cancer risk alleles and up to 24 epidemiological measures including demographic, lifestyle and environmental factors, for power to predict disease status and to drive on-going SAPCS recruitment, sampling procedures and research direction. Results Preliminary results suggest that no previously defined risk alleles significantly predict prostate cancer occurrence within the SAPCS. Furthermore, genetic risk profiles did not enhance the predictive power of prostate specific antigen (PSA) testing. Our study supports several lifestyle/environmental factors contributing to prostate cancer risk including a family history of cancer, diabetes, current sexual activity and erectile dysfunction, balding pattern, frequent aspirin usage and high PSA levels. Conclusions Despite a clear increased prostate cancer risk associated with an African ancestry, experimental data is lacking within Africa. This pilot study is therefore a significant contribution to the field. While genetic risk factors (largely European-defined) show no evidence for disease prediction in the SAPCS, several epidemiological factors were associated with prostate cancer status. We call for improved study power by building on the SAPCS resource, further validation of associated factors in independent African-based resources, and genome-wide approaches to define African-specific risk alleles.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Vanessa M Hayes
- J, Craig Venter Institute, Genomic Medicine Group, San Diego, CA, USA.
| |
Collapse
|
27
|
Kashyap A, Kluźniak W, Wokołorczyk D, Gołąb A, Sikorski A, Słojewski M, Gliniewicz B, Świtała J, Borkowski T, Borkowski A, Antczak A, Wojnar Ł, Przybyła J, Sosnowski M, Małkiewicz B, Zdrojowy R, Sikorska-Radek P, Matych J, Wilkosz J, Różański W, Kiś J, Bar K, Bryniarski P, Paradysz A, Jersak K, Niemirowicz J, Słupski P, Jarzemski P, Skrzypczyk M, Dobruch J, Domagała P, Piotrowski K, Jakubowska A, Gronwald J, Huzarski T, Byrski T, Dębniak T, Górski B, Masojć B, van de Wetering T, Menkiszak J, Akbari MR, Lubiński J, Narod SA, Cybulski C. The presence of prostate cancer at biopsy is predicted by a number of genetic variants. Int J Cancer 2013; 134:1139-46. [PMID: 24037955 DOI: 10.1002/ijc.28447] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Accepted: 07/31/2013] [Indexed: 12/22/2022]
Abstract
Several single nucleotide polymorphisms (SNPs) have been associated with an elevated risk of prostate cancer risk. It is not established if they are useful in predicting the presence of prostate cancer at biopsy or if they can be used to define a low-risk group of men. In this study, 4,548 men underwent a prostate biopsy because of an elevated prostate specific antigen (PSA; ≥4 ng/mL) or an abnormal digital rectal examination (DRE). All men were genotyped for 11 selected SNPs. The effect of each SNP, alone and in combination, on prostate cancer prevalence was studied. Of 4,548 men: 1,834 (40.3%) were found to have cancer. A positive association with prostate cancer was seen for 5 of 11 SNPs studied (rs1800629, rs1859962, rs1447295, rs4430796, rs11228565). The cancer detection rate rose with the number of SNP risk alleles from 29% for men with no variant to 63% for men who carried seven or more risk alleles (OR = 4.2; p = 0.002). The SNP data did not improve the predictive power of clinical factors (age, PSA and DRE) for detecting prostate cancer (AUC: 0.726 vs. 0.735; p = 0.4). We were unable to define a group of men with a sufficiently low prevalence of prostate cancer that a biopsy might have been avoided. In conclusion, our data do not support the routine use of SNP polymorphisms as an adjunct test to be used on the context of prostate biopsy for Polish men with an abnormal screening test.
Collapse
Affiliation(s)
- Aniruddh Kashyap
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
28
|
Chen R, Ren S, Sun Y. Genome-wide association studies on prostate cancer: the end or the beginning? Protein Cell 2013; 4:677-86. [PMID: 23982739 DOI: 10.1007/s13238-013-3055-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2013] [Accepted: 07/31/2013] [Indexed: 10/26/2022] Open
Abstract
Prostate cancer (PCa) is the second most frequently diagnosed malignancy in men. Genome-wide association studies (GWAS) has been highly successful in discovering susceptibility loci for prostate cancer. Currently, more than twenty GWAS have identified more than fifty common variants associated with susceptibility with PCa. Yet with the increase in loci, voices from the scientific society are calling for more. In this review, we summarize current findings, discuss the common problems troubling current studies and shed light upon possible breakthroughs in the future. GWAS is the beginning of something wonderful. Although we are quite near the end of the beginning, post-GWAS studies are just taking off and future studies are needed extensively. It is believed that in the future GWAS information will be helpful to build a comprehensive system intergraded with PCa prevention, diagnosis, molecular classification, personalized therapy.
Collapse
Affiliation(s)
- Rui Chen
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Shancheng Ren
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Yinghao Sun
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, 200433, China.
| |
Collapse
|
29
|
Zeegers MP, Nekeman D, Khan HS, van Dijk BAC, Goldbohm RA, Schalken J, Shajahan S, Pearlman A, Oddoux C, van den Brandt PA, Schouten LJ, Ostrer H. Prostate cancer susceptibility genes on 8p21–23 in a Dutch population. Prostate Cancer Prostatic Dis 2013; 16:248-53. [DOI: 10.1038/pcan.2013.9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2012] [Revised: 02/01/2013] [Accepted: 02/21/2013] [Indexed: 01/03/2023]
|
30
|
SNP-SNP interaction network in angiogenesis genes associated with prostate cancer aggressiveness. PLoS One 2013; 8:e59688. [PMID: 23593148 PMCID: PMC3618555 DOI: 10.1371/journal.pone.0059688] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2012] [Accepted: 02/17/2013] [Indexed: 01/27/2023] Open
Abstract
Angiogenesis has been shown to be associated with prostate cancer development. The majority of prostate cancer studies focused on individual single nucleotide polymorphisms (SNPs) while SNP-SNP interactions are suggested having a great impact on unveiling the underlying mechanism of complex disease. Using 1,151 prostate cancer patients in the Cancer Genetic Markers of Susceptibility (CGEMS) dataset, 2,651 SNPs in the angiogenesis genes associated with prostate cancer aggressiveness were evaluated. SNP-SNP interactions were primarily assessed using the two-stage Random Forests plus Multivariate Adaptive Regression Splines (TRM) approach in the CGEMS group, and were then re-evaluated in the Moffitt group with 1,040 patients. For the identified gene pairs, cross-evaluation was applied to evaluate SNP interactions in both study groups. Five SNP-SNP interactions in three gene pairs (MMP16+ ROBO1, MMP16+ CSF1, and MMP16+ EGFR) were identified to be associated with aggressive prostate cancer in both groups. Three pairs of SNPs (rs1477908+ rs1387665, rs1467251+ rs7625555, and rs1824717+ rs7625555) were in MMP16 and ROBO1, one pair (rs2176771+ rs333970) in MMP16 and CSF1, and one pair (rs1401862+ rs6964705) in MMP16 and EGFR. The results suggest that MMP16 may play an important role in prostate cancer aggressiveness. By integrating our novel findings and available biomedical literature, a hypothetical gene interaction network was proposed. This network demonstrates that our identified SNP-SNP interactions are biologically relevant and shows that EGFR may be the hub for the interactions. The findings provide valuable information to identify genotype combinations at risk of developing aggressive prostate cancer and improve understanding on the genetic etiology of angiogenesis associated with prostate cancer aggressiveness.
Collapse
|
31
|
Isaacs WB. Inherited susceptibility for aggressive prostate cancer. Asian J Androl 2012; 14:415-8. [PMID: 22543676 PMCID: PMC3568760 DOI: 10.1038/aja.2011.146] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2012] [Revised: 03/30/2012] [Accepted: 03/30/2012] [Indexed: 01/17/2023] Open
Abstract
Whether or not there is inherited basis for prostate cancer aggressiveness is not clear, but advances in DNA analysis should provide an answer to this question in the very near future.
Collapse
Affiliation(s)
- William B Isaacs
- Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
| |
Collapse
|
32
|
Amankwah EK, Sellers TA, Park JY. Gene variants in the angiogenesis pathway and prostate cancer. Carcinogenesis 2012; 33:1259-69. [PMID: 22523086 DOI: 10.1093/carcin/bgs150] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Although the causes of prostate cancer are still unknown, numerous studies support the role of genetic factors in the development and progression of this disease. Single nucleotide polymorphisms (SNPs) in key angiogenesis genes have been studied in prostate cancer. In this review, we provide an overview of the current knowledge of the role of genetic variants in the angiogenesis pathway in prostate cancer risk and progression. Of the 17 prostate cancer genome-wide association studies (GWAS) conducted to date, only one identified disease-associated SNPs in a region of an angiogenesis pathway gene. An association was observed between aggressive disease and three intergenic SNPs (rs11199874, rs10749408 and rs10788165) in a region on chromosome 10q26 that encompasses FGFR2. The majority (27/32, 84.4%) of primary candidate gene studies reviewed had a small (n < 800, 20/32, 62.5%) to medium sample size (n = 800-2000, 7/32, 21.9%), whereas only five (15.6%) had a large sample size (n ≥ 2000). Results from the large studies revealed associations with risk and aggressive disease for SNPs in NOS2A, NOS3 and MMP-2 and risk for HIF1-α. Meta-analyses have so far been conducted on FGFR2, TGF-β, TNF-α, HIF1-α and IL10 and the results reveal an association with risk for SNPs in FGFR2 and TGF-β and aggressive disease for SNPs in IL-10. Thus, existing evidence from GWAS and large candidate gene studies indicates that SNPs from a limited number of angiogenesis pathway genes are associated with prostate cancer risk and progression.
Collapse
Affiliation(s)
- Ernest K Amankwah
- Department of Cancer Epidemiology, Division of Cancer Prevention and Control, Moffitt Cancer Center, Tampa, FL, USA
| | | | | |
Collapse
|