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Silva IMD, Vacario BGL, Okuyama NCM, Barcelos GRM, Fuganti PE, Guembarovski RL, Cólus IMDS, Serpeloni JM. Polymorphisms in drug-metabolizing genes and urinary bladder cancer susceptibility and prognosis: Possible impacts and future management. Gene 2024; 907:148252. [PMID: 38350514 DOI: 10.1016/j.gene.2024.148252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/22/2024] [Accepted: 02/05/2024] [Indexed: 02/15/2024]
Abstract
Epidemiological studies have shown the association of genetic variants with risks of occupational and environmentally induced cancers, including bladder (BC). The current review summarizes the effects of variants in genes encoding phase I and II enzymes in well-designed studies to highlight their contribution to BC susceptibility and prognosis. Polymorphisms in genes codifying drug-metabolizing proteins are of particular interest because of their involvement in the metabolism of exogenous genotoxic compounds, such as tobacco and agrochemicals. The prognosis between muscle-invasive and non-muscle-invasive diseases is very different, and it is difficult to predict which will progress worse. Web of Science, PubMed, and Medline were searched to identify studies published between January 1, 2010, and February 2023. We included 73 eligible studies, more than 300 polymorphisms, and 46 genes/loci. The most studied candidate genes/loci of phase I metabolism were CYP1B1, CYP1A1, CYP1A2, CYP3A4, CYP2D6, CYP2A6, CYP3E1, and ALDH2, and those in phase II were GSTM1, GSTT1, NAT2, GSTP1, GSTA1, GSTO1, and UGT1A1. We used the 46 genes to construct a network of proteins and to evaluate their biological functions based on the Reactome and KEGG databases. Lastly, we assessed their expression in different tissues, including normal bladder and BC samples. The drug-metabolizing pathway plays a relevant role in BC, and our review discusses a list of genes that could provide clues for further exploration of susceptibility and prognostic biomarkers.
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Affiliation(s)
- Isabely Mayara da Silva
- Department of General Biology, Center of Biological Sciences, State University of Londrina (UEL), Londrina 86057-970, Brazil.
| | - Beatriz Geovana Leite Vacario
- Department of General Biology, Center of Biological Sciences, State University of Londrina (UEL), Londrina 86057-970, Brazil; Center of Health Sciences, State University of West Paraná (UNIOESTE), Francisco Beltrão-Paraná, 85605-010, Brazil.
| | - Nádia Calvo Martins Okuyama
- Department of General Biology, Center of Biological Sciences, State University of Londrina (UEL), Londrina 86057-970, Brazil.
| | - Gustavo Rafael Mazzaron Barcelos
- Department of Biosciences, Institute for Health and Society, Federal University of São Paulo (UNIFESP), Santos 11.060-001, Brazil.
| | | | - Roberta Losi Guembarovski
- Department of General Biology, Center of Biological Sciences, State University of Londrina (UEL), Londrina 86057-970, Brazil.
| | - Ilce Mara de Syllos Cólus
- Department of General Biology, Center of Biological Sciences, State University of Londrina (UEL), Londrina 86057-970, Brazil.
| | - Juliana Mara Serpeloni
- Department of General Biology, Center of Biological Sciences, State University of Londrina (UEL), Londrina 86057-970, Brazil.
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Hu Q, Li C, Huang Y, Wei Z, Chen L, Luo Y, Li X. Effects of Glutathione S-Transferases (GSTM1, GSTT1 and GSTP1) gene variants in combination with smoking or drinking on cancers: A meta-analysis. Medicine (Baltimore) 2024; 103:e37707. [PMID: 38579033 PMCID: PMC10994484 DOI: 10.1097/md.0000000000037707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/04/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND This meta-analysis aimed to systematically summarize the association between cancer risks and glutathione s-transferases (GSTs) among smokers and drinkers. METHODS Literature was searched through PubMed, Web of Science, CNKI, and WANFANG published from 2001 to 2022. Stata was used with fixed-effect model or random-effect model to calculate pooled odds ratios (ORs) and the 95% confidence interval (95% CI). Sensitivity and heterogeneity calculations were performed, and publication bias was analyzed by Begg and Egger's test. Regression analysis was performed on the correlated variables about heterogeneity, and the false-positive report probabilities (FPRP) and the Bayesian False Discovery Probability (BFDP) were calculated to assess the confidence of a statistically significant association. RESULTS A total of 85 studies were eligible for GSTs and cancer with smoking status (19,604 cases and 23,710 controls), including 14 articles referring to drinking status (4409 cases and 5645 controls). GSTM1-null had significant associations with cancer risks (for smokers: OR = 1.347, 95% CI: 1.196-1.516, P < .001; for nonsmokers: OR = 1.423, 95% CI: 1.270-1.594, P < .001; for drinkers: OR = 1.748, 95% CI: 1.093-2.797, P = .02). GSTT1-null had significant associations with cancer risks (for smokers: OR = 1.356, 95% CI: 1.114-1.651, P = .002; for nonsmokers: OR = 1.103, 95% CI: 1.011-1.204, P = .028; for drinkers: OR = 1.423, 95% CI: 1.042-1.942, P = .026; for nondrinkers: OR = 1.458, 95% CI: 1.014-2.098, P = .042). Negative associations were found between GSTP1rs1695(AG + GG/AA) and cancer risks among nondrinkers (OR = 0.840, 95% CI: 0.711-0.985, P = .032). CONCLUSIONS GSTM1-null and GSTT1-null might be related cancers in combination with smoking or drinking, and GSTP1rs1695 might be associated with cancers among drinkers.
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Affiliation(s)
- Qiurui Hu
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
| | - Cuiping Li
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Clinical Research Center for Craniofacial Deformity, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, People’s Republic of China
| | - Yonghui Huang
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
| | - Zhenxia Wei
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
| | - Li Chen
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
| | - Ying Luo
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Clinical Research Center for Craniofacial Deformity, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, People’s Republic of China
| | - Xiaojie Li
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Clinical Research Center for Craniofacial Deformity, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, People’s Republic of China
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Pradhan P, Jia G, Khankari NK, Zheng W. Evaluating interactions of polygenic risk scores and NAT2 genotypes with tobacco smoking in bladder cancer risk. Int J Cancer 2024; 154:210-216. [PMID: 37728483 DOI: 10.1002/ijc.34736] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/25/2023] [Accepted: 08/29/2023] [Indexed: 09/21/2023]
Abstract
Tobacco smoking is the most important risk factor for bladder cancer. Previous studies have identified the N-acetyltransferase (NAT2) gene in association with bladder cancer risk. The NAT2 gene encodes an enzyme that metabolizes aromatic amines, carcinogens commonly found in tobacco smoke. In our study, we evaluated potential interactions of tobacco smoking with NAT2 genotypes and polygenic risk score (PRS) for bladder cancer, using data from the UK Biobank, a large prospective cohort study. We used Cox proportional hazards models to measure the strength of the association. The PRS was derived using genetic risk variants identified by genome-wide association studies for bladder cancer. With an average of 10.1 years of follow-up of 390 678 eligible participants of European descent, 769 incident bladder cancer cases were identified. Current smokers with a PRS in the highest tertile had a higher risk of developing bladder cancer (HR: 6.45, 95% CI: 4.51-9.24) than current smokers with a PRS in the lowest tertile (HR: 2.41, 95% CI: 1.52-3.84; P for additive interaction = <.001). A similar interaction was found for genetically predicted metabolizing NAT2 phenotype and tobacco smoking where current smokers with the slow NAT2 phenotype had an increased risk of developing bladder cancer (HR: 5.70, 95% CI: 2.64-12.30) than current smokers with the fast NAT2 phenotype (HR: 3.61, 95% CI: 1.14-11.37; P for additive interaction = .100). Our study provides support for considering both genetic and lifestyle risk factors in developing prevention measures for bladder cancer.
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Affiliation(s)
- Pranoti Pradhan
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Guochong Jia
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Nikhil K Khankari
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Grębowski R, Saluk J, Bijak M, Szemraj J, Wigner-Jeziorska P. The role of SOD2 and NOS2 genes in the molecular aspect of bladder cancer pathophysiology. Sci Rep 2023; 13:14491. [PMID: 37660159 PMCID: PMC10475080 DOI: 10.1038/s41598-023-41752-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 08/31/2023] [Indexed: 09/04/2023] Open
Abstract
Bladder cancer (BC) is a severe health problem of the genitourinary system and is characterised by a high risk of recurrence. According to the recent GLOBOCAN report, bladder cancer accounts for 3% of diagnosed cancers in the world, taking 10th place on the list of the most common cancers. Despite numerous studies, the full mechanism of BC development remains unknown. Nevertheless, precious results suggest a crucial role of oxidative stress in the development of BC. Therefore, this study explores whether the c. 47 C > T (rs4880)-SOD2, (c. 1823 C > T (rs2297518) and g.-1026 C > A (rs2779249)-NOS2(iNOS) polymorphisms are associated with BC occurrence and whether the bladder carcinogenesis induces changes in SOD2 and NOS2 expression and methylation status in peripheral blood mononuclear cells (PBMCs). In this aim, the TaqMan SNP genotyping assay, TaqMan Gene Expression Assay, and methylation-sensitive high-resolution melting techniques were used to genotype profiling and evaluate the expression of the genes and the methylation status of their promoters, respectively. Our findings confirm that heterozygote of the g.-1026 C > A SNP was associated with a decreased risk of BC. Moreover, we detected that BC development influenced the expression level and methylation status of the promoter region of investigated genes in PBMCs. Concluding, our results confirmed that oxidative stress, especially NOS2 polymorphisms and changes in the expression and methylation of the promoters of SOD2 and NOS2 are involved in the cancer transformation initiation of the cell urinary bladder.
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Affiliation(s)
- Radosław Grębowski
- Department of Medical Biochemistry, Medical University of Lodz, Lodz, Poland, Mazowiecka 6/8, 90-001
- Department of Urology, Provincial Integrated Hospital in Plock, Plock, Poland, Medyczna 19, 09-400
| | - Joanna Saluk
- Department of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland, Pomorska 141/143, 90-236
| | - Michał Bijak
- Biohazard Prevention Centre, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland, Pomorska 141/143, 90-236
| | - Janusz Szemraj
- Department of Medical Biochemistry, Medical University of Lodz, Lodz, Poland, Mazowiecka 6/8, 90-001
| | - Paulina Wigner-Jeziorska
- Department of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland, Pomorska 141/143, 90-236.
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Hong KU, Hein DW. N -acetyltransferase 2 haplotype modifies risks for both dyslipidemia and urinary bladder cancer. Pharmacogenet Genomics 2023; 33:136-137. [PMID: 37306342 PMCID: PMC10524719 DOI: 10.1097/fpc.0000000000000500] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
A novel haplotype in N -acetyltransferase 2 ( NAT2 ) composed of seven non-coding variants (rs1495741, rs4921913, rs4921914, rs4921915, rs146812806, rs35246381, and rs35570672) has been linked to dyslipidemia by multiple, independent genome-wide association studies. The haplotype is located approximately 14 kb downstream of NAT2-coding region (ch8:18,272,377-18,272,881; GRCh38/hg38) and represents a non-coding, intergenic haplotype. Interestingly, the same dyslipidemia NAT2 haplotype is also linked to urinary bladder cancer risk. Dyslipidemia risk alleles are associated with rapid acetylator phenotype, whereas bladder cancer risk alleles are associated with slow acetylator, suggesting that the level of systemic NAT2 activity modifies the risk of these pathologies. We speculate that rs1495741 (and its associated haplotype) belongs to a distal regulatory element of human NAT2 gene (e.g., enhancer or silencer), and the genetic variation at the newly discovered haplotype results in a differential level of NAT2 gene expression. Understanding how this NAT2 haplotype contributes to not only urinary bladder cancer but also to dyslipidemia will ultimately help devise strategies to identify and protect susceptible individuals.
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Affiliation(s)
- Kyung U Hong
- Department of Pharmacology & Toxicology and Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky, USA
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Hong KU, Walls KM, Hein DW. Non-coding and intergenic genetic variants of human arylamine N-acetyltransferase 2 (NAT2) gene are associated with differential plasma lipid and cholesterol levels and cardiometabolic disorders. Front Pharmacol 2023; 14:1091976. [PMID: 37077812 PMCID: PMC10106703 DOI: 10.3389/fphar.2023.1091976] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 03/02/2023] [Indexed: 04/05/2023] Open
Abstract
Arylamine N-acetyltransferase 2 (NAT2) is a phase II metabolic enzyme, best known for metabolism of aromatic amines and hydrazines. Genetic variants occurring in the NAT2 coding region have been well-defined and are known to affect the enzyme activity or protein stability. Individuals can be categorized into rapid, intermediate, and slow acetylator phenotypes that significantly alter their ability to metabolize arylamines, including drugs (e.g., isoniazid) and carcinogens (e.g., 4-aminobiphenyl). However, functional studies on non-coding or intergenic variants of NAT2 are lacking. Multiple, independent genome wide association studies (GWAS) have reported that non-coding or intergenic variants of NAT2 are associated with elevated plasma lipid and cholesterol levels, as well as cardiometabolic disorders, suggesting a novel cellular role of NAT2 in lipid and cholesterol homeostasis. The current review highlights and summarizes GWAS reports that are relevant to this association. We also present a new finding that seven, non-coding, intergenic NAT2 variants (i.e., rs4921913, rs4921914, rs4921915, rs146812806, rs35246381, rs35570672, and rs1495741), which have been associated with plasma lipid and cholesterol levels, are in linkage disequilibrium with one another, and thus form a novel haplotype. The dyslipidemia risk alleles of non-coding NAT2 variants are associated with rapid NAT2 acetylator phenotype, suggesting that differential systemic NAT2 activity might be a risk factor for developing dyslipidemia. The current review also discusses the findings of recent reports that are supportive of the role of NAT2 in lipid or cholesterol synthesis and transport. In summary, we review data suggesting that human NAT2 is a novel genetic factor that influences plasma lipid and cholesterol levels and alters the risk of cardiometabolic disorders. The proposed novel role of NAT2 merits further investigations.
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Leeming RC, Koutros S, Karagas MR, Baris D, Schwenn M, Johnson A, Zens MS, Schned AR, Rothman N, Silverman DT, Passarelli MN. Diet quality, common genetic polymorphisms, and bladder cancer risk in a New England population-based study. Eur J Nutr 2022; 61:3905-3913. [PMID: 35759030 PMCID: PMC10329807 DOI: 10.1007/s00394-022-02932-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 05/31/2022] [Indexed: 11/04/2022]
Abstract
PURPOSE We examined the interaction between common genetic bladder cancer variants, diet quality, and bladder cancer risk in a population-based case-control study conducted in New England. METHODS At the time of enrollment, 806 bladder cancer cases and 974 controls provided a DNA sample and completed a diet history questionnaire. Diet quality was assessed using the 2010 Alternate Healthy Eating Index (AHEI-2010) score. Single nucleotide polymorphisms (SNPs) reported in genome-wide association studies to be associated with bladder cancer risk were combined into a polygenic risk score and also examined individually for interaction with the AHEI-2010. Adjusted odds ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression. RESULTS A 1-standard deviation increase in polygenic risk score was associated with higher bladder cancer risk (OR, 1.34; 95% CI 1.21-1.49). Adherence to the AHEI-2010 was not associated with bladder cancer risk (OR, 0.99; 95% CI 0.98-1.00) and the polygenic risk score did not appear to modify the association between the AHEI-2010 and bladder cancer risk. In single-SNP analyses, rs8102137 (bladder cancer risk allele, C) modified the association between the AHEI-2010 total score and bladder cancer risk, with the strongest evidence for the AHEI-2010 long chain fat guideline (OR for TT, 0.92; 95% CI 0.87-0.98; OR for CT, 1.02; 95% CI 0.96-1.08; OR for CC, 1.03; 95% CI 0.93-1.14; p for interaction, 0.02). CONCLUSIONS In conclusion, rs8102137 near the cyclin E1 gene ( CCNE1 ) may be involved in gene-diet interactions for bladder cancer risk.
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Affiliation(s)
- Reno C Leeming
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, HB 7927, Hanover, Lebanon, NH, 03756, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, HB 7927, Hanover, Lebanon, NH, 03756, USA
| | - Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, MD, USA
| | | | | | - Michael S Zens
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, HB 7927, Hanover, Lebanon, NH, 03756, USA
| | - Alan R Schned
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Michael N Passarelli
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, HB 7927, Hanover, Lebanon, NH, 03756, USA.
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Teleka S, Orho-Melander M, Liedberg F, Melander O, Jirström K, Stocks T. Interaction between blood pressure and genetic risk score for bladder cancer, and risk of urothelial carcinoma in men. Sci Rep 2022; 12:18336. [PMID: 36316463 PMCID: PMC9622916 DOI: 10.1038/s41598-022-23225-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022] Open
Abstract
There is substantial genetic predisposition to bladder cancer (BC). Recently, blood pressure (BP) was positively associated with BC risk in men, but the potential interaction with genetic susceptibility for BC is unknown. We investigated a weighted genetic risk score (wGRS) of 18 BC genetic variants, BP, and their interaction, in relation to incident urothelial cancer (UC, n = 385) risk in 10,576 men. We used Cox regression, the likelihood ratio test, and the relative excess risk for interaction to calculate hazard ratios (HR) of UC, multiplicative interaction and additive interaction respectively. There was evidence of a positive additive interaction between SBP and the wGRS in relation to aggressive (P = 0.02) but not non-aggressive (P = 0.60) UC. The HR of aggressive UC was for SBP ≥ 140 mmHg and the upper 50% of the wGRS combined 1.72 (95% CI 1.03-2.87) compared to the counterpart group. Additionally, the 20-year risk of aggressive UC in 60 year-old men was 0.78% in the low SBP/low wGRS group and 1.33% in the high SBP/high wGRS group. Our findings support a potential additive interaction between the wGRS and SBP on aggressive UC among men. If replicated, the findings on interaction may provide biological and public health insight to prevent aggressive UC.
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Affiliation(s)
- Stanley Teleka
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Uppsala University, Epihubben, Dag Hammarskjölds Väg 14 B, 75185 Uppsala, Sweden ,grid.4514.40000 0001 0930 2361Department of Clinical Sciences in Lund, Lund University, Lund, Sweden
| | - Marju Orho-Melander
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Fredrik Liedberg
- grid.411843.b0000 0004 0623 9987Department of Urology, Skåne University Hospital Malmö, Malmö, Sweden ,grid.4514.40000 0001 0930 2361Department of Translational Medicine, Lund University, Malmö, Sweden
| | - Olle Melander
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Karin Jirström
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences in Lund, Lund University, Lund, Sweden
| | - Tanja Stocks
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences in Lund, Lund University, Lund, Sweden
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Teleka S, Jochems SHJ, Jirström K, Stocks T. The interaction between smoking and bladder cancer genetic variants on urothelial cancer risk by disease aggressiveness. Cancer Med 2022; 11:2896-2905. [PMID: 35285182 PMCID: PMC9359879 DOI: 10.1002/cam4.4654] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/18/2022] [Accepted: 01/19/2022] [Indexed: 12/13/2022] Open
Abstract
Background Smoking has shown interactions with bladder cancer (BC) genetic variants, especially N‐acetyltransferase‐2 (NAT2), a tobacco smoke metabolism gene, on BC risk. The interactions by disease aggressiveness are unknown. Methods We investigated the interaction between smoking and 18 single nucleotide polymorphisms (SNPs) for BC, individually and in a genetic risk score (GRS), on urothelial cancer (UC) risk including BC. We analysed data from 25,453 individuals with 520 incident UCs during follow‐up, 339 non‐aggressive (non‐fatal, non‐muscle invasive) and 163 aggressive (all other) UCs. Hazard ratios (HRs), absolute risks and additive and multiplicative interactions for two‐by‐two combinations of never/ever smoking with low/high genetic risk were calculated. Results Smoking and NAT2 rs1495741 interacted strongly, positively on aggressive UC on both the multiplicative (p = 0.004) and additive (p = 0.0002) scale, which was not observed for non‐aggressive UC (pinteractions ≥ 0.6). This manifested in a higher HR of aggressive UC by ever smoking for the slow acetylation NAT2 genotype (HR, 5.00 [95% confidence interval, 2.67–9.38]) than for intermediate/fast acetylation NAT2 (HR, 1.50 [0.83–2.71]), and in differences in absolute risks by smoking and NAT2 genotype. Smoking also interacted additively and positively with the GRS on any UC (p = 0.01) and non‐aggressive UC (p = 0.02), but not on aggressive UC (p = 0.1). Gene‐smoking interactions of lesser magnitude than for NAT2 were found for SNPs in APOBEC3A, SLC14A1 and MYNN. Conclusions This study suggests that smoking increases UC risk more than expected when combined with certain genetic risks. Individuals with the slow acetylation NAT2 variant might particularly benefit from smoking intervention to prevent lethal UC; however, replication in larger studies is needed.
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Affiliation(s)
- Stanley Teleka
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.,Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | | | - Karin Jirström
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Tanja Stocks
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden
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Genome-Wide Association Study Adjusted for Occupational and Environmental Factors for Bladder Cancer Susceptibility. Genes (Basel) 2022; 13:genes13030448. [PMID: 35328002 PMCID: PMC8950368 DOI: 10.3390/genes13030448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 02/25/2022] [Accepted: 02/26/2022] [Indexed: 02/01/2023] Open
Abstract
This study examined the effects of single-nucleotide polymorphisms (SNPs) on the development of bladder cancer, adding longest-held occupational and industrial history as regulators. The genome purified from blood was genotyped, followed by SNP imputation. In the genome-wide association study (GWAS), several patterns of industrial/occupational classifications were added to logistic regression models. The association test between bladder cancer development and the calculated genetic score for each gene region was evaluated (gene-wise analysis). In the GWAS and gene-wise analysis, the gliomedin gene satisfied both suggestive association levels of 10−5 in the GWAS and 10−4 in the gene-wise analysis for male bladder cancer. The expression of the gliomedin protein in the nucleus of bladder cancer cells decreased in cancers with a tendency to infiltrate and those with strong cell atypia. It is hypothesized that gliomedin is involved in the development of bladder cancer.
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Functional variability of rhesus macaque (Macaca mulatta) NAT2 gene for drug-metabolising arylamine N-acetyltransferase 2. Biochem Pharmacol 2021; 188:114545. [PMID: 33831395 DOI: 10.1016/j.bcp.2021.114545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 03/30/2021] [Accepted: 03/31/2021] [Indexed: 11/21/2022]
Abstract
Human NAT2 is a polymorphic pharmacogene encoding for N-acetyltransferase 2, a hepatic enzyme active towards arylamine and arylhydrazine drugs, including the anti-tubercular antibiotic isoniazid. The isoenzyme also modulates susceptibility to chemical carcinogenesis, particularly of the bladder. Human NAT2 represents an ideal model for anthropological investigations into the demographic adaptation of worldwide populations to their xenobiotic environment. Its sequence appears to be subject to positive selection pressures that are population-specific and may be attributed to gene-environment interactions directly associated with exogenous chemical challenges. However, recent evidence suggests that the same evolutionary pattern may not be observed in other primates. Here, we report NAT2 polymorphism in 25 rhesus macaques (Macaca mulatta) and compare the frequencies and functional characteristics of 12 variants. Seven non-synonymous single nucleotide variations (SNVs) were identified, including one nonsense mutation. The missense SNVs were demonstrated to affect enzymatic function in a substrate-dependent manner, albeit more moderately than certain NAT1 SNVs recently characterised in the same cohort. Haplotypic and functional variability of NAT2 was comparable to that previously observed for NAT1 in the same population sample, suggesting that the two paralogues may have evolved under similar selective pressures in the rhesus macaque. This is different to the population variability distribution pattern reported for humans and chimpanzees. Recorded SNVs were also different from those found in other primates. The study contributes to further understanding of NAT2 functional polymorphism in the rhesus macaque, a non-human primate model used in biomedicine and pharmacology, indicating variability in xenobiotic acetylation that could affect drug metabolism.
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Lipunova N, Wesselius A, Cheng KK, van Schooten FJ, Bryan RT, Cazier JB, Zeegers MP. Gene-environment interaction with smoking for increased non-muscle-invasive bladder cancer tumor size. Transl Androl Urol 2020; 9:1329-1337. [PMID: 32676417 PMCID: PMC7354298 DOI: 10.21037/tau-19-523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background Urinary bladder cancer (UBC) is one of few cancers with an established gene-environment interaction (GxE) with smoking. However, it is unknown whether the interaction with tobacco use is present non-muscle invasive bladder cancer (NMIBC) and characteristics of prognostic relevance. We aimed to investigate if smoking status and/or smoking intensity interact with the effect of discovered variants on key NMIBC characteristics of tumor grade, stage, size, and patient age within the Bladder Cancer Prognosis Programme (BCPP) cohort. Methods Analyzed sample consisted of 546 NMIBC patients with valid smoking data from the BCPP. In a previous genome-wide association study (GWAS), we have identified 61 single nucleotide polymorphisms (SNPs) potentially associated with the NMIBC characteristics of tumor stage, grade, size, and patient age. In the current analysis, we have tested these SNPs for GxE with smoking. Results Out of 61 SNPs, 10 have showed suggestion (statistical significance level of P<0.05) for GxE with NMIBC tumor size rs35225990, rs188958632, rs180910528, rs74603364, rs187040828, rs144383242, rs117587674, rs113705641, rs2937268, and chromosome 14:38247577. All SNPs were located across loci of 1p31.3, 3p26.1, 6q14.1, 14q21.1, and 13q14.13. In addition, two of the tested polymorphisms were suggestive for interaction with smoking intensity (chromosome 14:38247577 and rs2937268). Conclusions Our study suggests interaction between genetic variance and smoking behavior for increased NMIBC tumor size at the time of diagnosis. Further replication is required to validate these findings.
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Affiliation(s)
- Nadezda Lipunova
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.,Centre for Computational Biology, University of Birmingham, Birmingham, UK.,Department of Complex Genetics, Maastricht University, Maastricht, The Netherlands
| | - Anke Wesselius
- Department of Complex Genetics, Maastricht University, Maastricht, The Netherlands
| | - Kar K Cheng
- Institute for Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Richard T Bryan
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Jean-Baptiste Cazier
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.,Centre for Computational Biology, University of Birmingham, Birmingham, UK
| | - Maurice P Zeegers
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.,Department of Complex Genetics, Maastricht University, Maastricht, The Netherlands
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13
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N-acetyltransferase 2 polymorphism is associated with bladder cancer risk: An updated meta-analysis based on 54 case-control studies. Gene 2020; 757:144924. [PMID: 32622992 DOI: 10.1016/j.gene.2020.144924] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 06/08/2020] [Accepted: 06/27/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVE N-acetyltransferase 2 (NAT2) polymorphism could participate in the metabolism of carcinogens through regulating the activity of a series of critical enzymes. However, the effects of NAT2 polymorphism on bladder cancer (BCa) risk were still inconclusive. In order to illustrate whether NAT2 polymorphism may influence the susceptibility to BCa, we conducted this updated meta-analysis. MATERIALS AND METHODS Databases including PubMed, Medline, Embase, Web of Science, Cochrane Library, and China National Knowledge Infrastructure(CNKI) were systematically retrieved and we applied MetaGenyo to perform final meta-analysis. Odds ratios (ORs) as well as 95% confidence intervals (CIs) were calculated and Bonferroni method was applied to correct the P-value for multiple comparisons. The registration of this study protocol is at PROSPERO and ID is CRD42019133957. RESULTS Ultimately, 54 case-control studies were identified for final meta-analysis (13343 BCa cases and 18,586 controls). Overall analysis indicated that the slow genotype in NAT2 polymorphism was obviously associated with BCa risk (PBonferroni < 0.001). Subgroup analyses demonstrated that significant risk with the slow genotype was observed in Caucasians, Asians, smokers, non-exposed individuals, high grade bladder cancer (HGBC) patients and muscle-invasive bladder cancer (MIBC) patients. In addition, the intermediate NAT2 genotype was revealed to increase the BCa risk of Asians and transitional cell carcinoma (TCC) patients. However, no correlation was identified in Africans with the NAT2 polymorphism. CONCLUSIONS The slow NAT2 genotype was identified to be the risk genotype for BCa. The intermediate genotype could serve as the candidate risk genotype. The gene-smoking interaction with NAT2 polymorphism might accelerate the tumor progression.
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Hanson HA, Leiser CL, O'Neil B, Martin C, Gupta S, Smith KR, Dechet C, Lowrance WT, Madsen MJ, Camp NJ. Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk. Cancer Epidemiol Biomarkers Prev 2020; 29:918-926. [PMID: 32098890 PMCID: PMC7196496 DOI: 10.1158/1055-9965.epi-19-0681] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 11/12/2019] [Accepted: 02/14/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel approach to simultaneously assess risks for multiple cancers to identify distinct multicancer configurations (multiple different cancer types that cluster in relatives) surrounding patients with familial bladder cancer. METHODS This study takes advantage of a unique population-level data resource, the Utah Population Database (UPDB), containing vast genealogy and statewide cancer data. Familial risk is measured using standardized incidence risk (SIR) ratios that account for sex, age, birth cohort, and person-years of the pedigree members. RESULTS We identify 1,023 families with a significantly higher bladder cancer rate than population controls (familial bladder cancer). Familial SIRs are then calculated across 25 cancer types, and a weighted Gower distance with K-medoids clustering is used to identify familial multicancer configurations (FMC). We found five FMCs, each exhibiting a different pattern of cancer aggregation. Of the 25 cancer types studied, kidney and prostate cancers were most commonly enriched in the familial bladder cancer clusters. Laryngeal, lung, stomach, acute lymphocytic leukemia, Hodgkin disease, soft-tissue carcinoma, esophageal, breast, lung, uterine, thyroid, and melanoma cancers were the other cancer types with increased incidence in familial bladder cancer families. CONCLUSIONS This study identified five familial bladder cancer FMCs showing unique risk patterns for cancers of other organs, suggesting phenotypic heterogeneity familial bladder cancer. IMPACT FMC configurations could permit better definitions of cancer phenotypes (subtypes or multicancer) for gene discovery and environmental risk factor studies.
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Affiliation(s)
- Heidi A Hanson
- Population Sciences, Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah.
- Division of Urology, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Claire L Leiser
- Population Sciences, Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Brock O'Neil
- Division of Urology, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Christopher Martin
- Division of Urology, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Sumati Gupta
- Division of Oncology, Department of Medicine, Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah
| | - Ken R Smith
- Population Sciences, Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah
- Department of Family and Consumer Studies, University of Utah, Salt Lake City, Utah
| | - Christopher Dechet
- Division of Urology, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - William T Lowrance
- Division of Urology, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Michael J Madsen
- Population Sciences, Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah
| | - Nicola J Camp
- Population Sciences, Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah
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Vlachostergios PJ, Faltas BM, Carlo MI, Nassar AH, Alaiwi SA, Sonpavde G. The emerging landscape of germline variants in urothelial carcinoma: Implications for genetic testing. Cancer Treat Res Commun 2020; 23:100165. [PMID: 31982787 DOI: 10.1016/j.ctarc.2020.100165] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 12/30/2019] [Indexed: 06/10/2023]
Abstract
Urothelial carcinoma (UC) of the bladder and upper tract (ureter, renal pelvis) is one of the most frequently occurring malignancies. While the majority of UC are chemically induced by smoking, accumulating evidence from genetic studies have demonstrated a small, but consistent impact of heritable gene variants and family history of UC on the development of the disease. Beyond the established association between upper tract UC and germline mismatch DNA repair defects as a defining feature of Lynch syndrome, newer investigations focusing on moderate- and high-risk cancer-related gene variants in DNA damage repair and other signaling pathways are expanding our knowledge on the heritable genetic basis of UC, opening new avenues in the breadth of genetic testing and in clinical counseling of these patients. Overcoming existing challenges in the interpretation of uncertain findings and family cascade testing may help expand our testing approach and guidelines. Following the paradigm of other tumor types, such as breast and ovarian cancers, germline genetic testing, particularly when combined with somatic testing, has the potential to directly benefit affected UC patients and their families in the future through therapeutic targeting (i.e. with poly(ADP-ribose)) polymerase inhibitors, immune checkpoint inhibitors) and genetically informed screening/surveillance, respectively.
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Affiliation(s)
| | - Bishoy M Faltas
- Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, United States; Department of Cell and Developmental Biology, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Maria I Carlo
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Amin H Nassar
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States
| | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, 450 Brookline Ave, DANA 1230, Boston, MA 02215, United States
| | - Guru Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, 450 Brookline Ave, DANA 1230, Boston, MA 02215, United States.
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Wang T, Luo R, Li W, Yan H, Xie S, Xiao W, Wang Y, Chen B, Bai P, Xing J. Dihydroartemisinin suppresses bladder cancer cell invasion and migration by regulating KDM3A and p21. J Cancer 2020; 11:1115-1124. [PMID: 31956358 PMCID: PMC6959076 DOI: 10.7150/jca.36174] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 11/11/2019] [Indexed: 12/12/2022] Open
Abstract
Emerging evidences have shown that Dihydroartemisinin (DHA), used in malaria treatment, possess anti-cancer activity. However, the study of its potential functional roles and the anti-cancer mechanisms in bladder cancer is limited. We performed this study to elucidate the influence of DHA in the biological behavior of bladder cancer cells and tried to explore the molecular mechanism. The results of CCK-8 assay showed that DHA significantly inhibited bladder cancer cell 5637, UMUC3 and T24 proliferation and the inhibitory effect is dose- and time- dependent. Further mechanism study showed that DHA performed its function via down-regulating the expression of histone demethylase KDM3A and inducing p21 expression. Moreover, wound healing and transwell migration/invasion assays revealed that DHA inhibited the ability of migration and metastasis in bladder cancer cell line T24. Finally, flow cytometry and colony formation assays demonstrated that DHA significantly promoted apoptosis of T24 cells and suppressed tumorigenesis as expected. Taken together, our study identifies the anti-cancer capacity of DHA in bladder cancer and explores the underlying mechanism.
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Affiliation(s)
- Tao Wang
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China 361003
| | - Rongtuan Luo
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China 361003
| | - Wei Li
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China 361003
| | - Houyu Yan
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China 361003
| | - Shunqiang Xie
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China 361003
| | - Wen Xiao
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China 361003
| | - Yongfeng Wang
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China 361003
| | - Bin Chen
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China 361003
| | - Peide Bai
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China 361003
| | - Jinchun Xing
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China 361003
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Salazar-González RA, Zhang X, Doll MA, Lykoudi A, Hein DW. Role of the human N-acetyltransferase 2 genetic polymorphism in metabolism and genotoxicity of 4, 4'-methylenedianiline. Arch Toxicol 2019; 93:2237-2246. [PMID: 31292670 PMCID: PMC6713601 DOI: 10.1007/s00204-019-02516-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 07/04/2019] [Indexed: 01/06/2023]
Abstract
4, 4'-Methylenedianiline (MDA) is used extensively as a curing agent in the production of elastomers and is classified as reasonably anticipated to be a human carcinogen based on sufficient evidence in animal experiments. Human N-acetyltransferase 1 (NAT1) and 2 (NAT2) catalyze the N-acetylation of aromatic amines and NAT2 is subjected to a common genetic polymorphism in human populations separating individuals into rapid, intermediate, and slow acetylator phenotypes. Although MDA is known to undergo N-acetylation to mono- and di-acetyl metabolites, very little is known regarding whether this metabolism is subject to the NAT2 genetic polymorphism. We investigated the N-acetylation of MDA by recombinant human NAT1, NAT2, genetic variants of NAT2, and cryoplateable human hepatocytes obtained from rapid, intermediate and slow acetylators. MDA N-acetylation was catalyzed by both recombinant human NAT1 and NAT2 exhibiting a fivefold higher affinity for human NAT2. N-acetylation of MDA was acetylator genotype dependent as evidenced via its N-acetylation by recombinant human NAT2 genetic variants or by cryoplateable human hepatocytes. MDA N-acetylation to the mono-acetyl or di-acetyl-MDA was highest in rapid, lower in intermediate, and lowest in slow acetylator human hepatocytes. MDA-induced DNA damage in the human hepatocytes was dose-dependent and also acetylator genotype dependent with highest levels of DNA damage in rapid, lower in intermediate, and lowest in slow acetylator human hepatocytes under the same MDA exposure level. In summary, the N-acetylation of MDA by recombinant human NAT2 and cryopreserved human hepatocytes support an important role for the NAT2 genetic polymorphism in modifying MDA metabolism and genotoxicity and potentially carcinogenic risk.
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Affiliation(s)
- Raúl A Salazar-González
- Department of Pharmacology and Toxicology and James Graham Brown Cancer Center, University of Louisville School of Medicine, 505 South Hancock Street, Louisville, KY, 40202-1617, USA
| | - Xiaoyan Zhang
- Department of Pharmacology and Toxicology and James Graham Brown Cancer Center, University of Louisville School of Medicine, 505 South Hancock Street, Louisville, KY, 40202-1617, USA
- Department of Clinical Pharmacology, ADC Therapeutics, Murray Hill, NJ, USA
| | - Mark A Doll
- Department of Pharmacology and Toxicology and James Graham Brown Cancer Center, University of Louisville School of Medicine, 505 South Hancock Street, Louisville, KY, 40202-1617, USA
| | - Angeliki Lykoudi
- Department of Pharmacology and Toxicology and James Graham Brown Cancer Center, University of Louisville School of Medicine, 505 South Hancock Street, Louisville, KY, 40202-1617, USA
| | - David W Hein
- Department of Pharmacology and Toxicology and James Graham Brown Cancer Center, University of Louisville School of Medicine, 505 South Hancock Street, Louisville, KY, 40202-1617, USA.
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Primary aromatic amines and cancer: Novel mechanistic insights using 4-aminobiphenyl as a model carcinogen. Pharmacol Ther 2019; 200:179-189. [DOI: 10.1016/j.pharmthera.2019.05.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 05/02/2019] [Indexed: 02/07/2023]
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Tao J, Li N, Liu Z, Qiu J, Deng Y, Li X, Chen M, Yu J, Zhu J, Yu P, Wang Y. Risk of congenital heart diseases associated with NAT2 genetic polymorphisms and maternal polycyclic aromatic hydrocarbons exposure. Prenat Diagn 2019; 39:968-975. [PMID: 31254350 DOI: 10.1002/pd.5516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 06/20/2019] [Accepted: 06/20/2019] [Indexed: 12/25/2022]
Abstract
OBJECTIVE N-Acetyltransferase 2 (NAT2) is a phase II xenobiotic-metabolizing enzyme participating in the detoxification of toxic arylamines and aromatic amines. The present study was designed to investigate whether maternal NAT2 genetic polymorphisms are associated with fetal susceptibility to congenital heart diseases (CHDs) and to assess whether the risk is modified by polycyclic aromatic hydrocarbons (PAHs) exposure. METHODS We conducted a hospital-based case-control study to investigate the association of NAT2 gene polymorphisms (rs1799930 G/A, rs1208 A/G, and rs1799931 G/A) and the combinations of PAHs exposure and genetic variants with the risk of CHDs. Three hundred fifty-seven mothers of CHDs fetuses and 270 control mothers were recruited. Logistic regression models for the risk of CHDs were applied to determine the effect of NAT2 polymorphisms, as well as gene-exposure interactions. RESULTS Our study did not demonstrate an association of maternal NAT2 genetic polymorphisms alone with CHDs occurrence. However, we found that certain genetic polymorphisms of NAT2 in the present of high PAHs exposure have a higher risk of CHDs. CONCLUSION Our study suggests that the risk of CHDs associated with maternal NAT2 gene polymorphisms is potentiated by PAHs exposure.
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Affiliation(s)
- Jing Tao
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Nana Li
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Zhen Liu
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - JinPing Qiu
- Department of Neonatal Disease Screening, Maternal and Child Health Hospital of Zaozhuang, Zaozhuang, China
| | - Ying Deng
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Xiaohong Li
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Ming Chen
- Department of Ultrasound, Harbin Red Cross Central Hospital, Harbin, China
| | - Jing Yu
- Department of Pediatrics, Mianyang Central Hospital, Mianyang, China
| | - Jun Zhu
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Ping Yu
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Yanping Wang
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
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Tao J, Li N, Liu Z, Deng Y, Li X, Chen M, Yu J, Zhu J, Yu P, Wang Y. The effect on congenital heart diseases of maternal EPHX1 polymorphisms modified by polycyclic aromatic hydrocarbons exposure. Medicine (Baltimore) 2019; 98:e16556. [PMID: 31348278 PMCID: PMC6709072 DOI: 10.1097/md.0000000000016556] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Polycyclic aromatic hydrocarbons (PAHs) may be 1 of etiologic factors responsible for congenital heart diseases (CHDs). Variations of the microsomal epoxide hydrolase (EPHX1) gene, as well as their possible interactions with PAHs exposure, may increase susceptibility to CHDs.This case-control study investigated the risk of CHDs in relation to the EPHX1 polymorphisms and assessed the interactions between these polymorphisms and PAHs exposure in 357 mothers of CHDs fetuses and 270 control mothers. Logistic regression models for the risk of CHDs were applied to determine the effect of genetic polymorphisms using additive, recessive, and dominant genetic models, as well as gene-exposure interactions. Multiple testing was adjusted by applying the false discovery rate (FDR).None of the maternal genetic polymorphisms of EPHX1 was associated with CHDs occurrence. Only the single nucleotide polymorphism rs1051740 was associated with an increased risk of right-sided obstructive malformations under the recessive model (adjusted odds ratio [aOR] = 1.852, 95% confidence interval [CI]: 1.065, 3.22) before FDR correction. A possible modifying effect of PAHs exposure on genetic polymorphisms of EPHX1 was found in susceptibility to CHDs, though no multiplicative-scale interactions between maternal exposure to PAHs and polymorphisms of EPHX1 gene were seento affect the risk of CHDs.The role of EPHX1 gene polymorphisms for CHDs need to be further evaluated, in particularly by interacting with PAHs exposure.
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Affiliation(s)
- Jing Tao
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan
| | - Nana Li
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan
| | - Zhen Liu
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan
| | - Ying Deng
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan
| | - Xiaohong Li
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan
| | - Ming Chen
- Department of Ultrasound, Harbin Red Cross Central Hospital, Harbin, Heilongjiang
| | - Jing Yu
- Department of Pediatrics, Mianyang Central Hospital, Mianyang, Sichuan, China
| | - Jun Zhu
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan
| | - Ping Yu
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan
| | - Yanping Wang
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan
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Zhou T, Li HY, Xie WJ, Zhong Z, Zhong H, Lin ZJ. Association of Glutathione S-transferase gene polymorphism with bladder Cancer susceptibility. BMC Cancer 2018; 18:1088. [PMID: 30419877 PMCID: PMC6233535 DOI: 10.1186/s12885-018-5014-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 10/30/2018] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND We conducted a meta-analysis to evaluate the relationship between the glutathione S-transferase μ1 (GSTM1)- and glutathione S-transferase θ1 (GSTT1)- null genotypes and susceptibility to bladder cancer. METHODS We identified association reports from the databases of PubMed, Embase, the Cochrane Library and the China Biological Medicine Database (CBM disc) on July 1, 2017 and synthesized eligible investigations. Results were expressed using odds ratios (ORs) for dichotomous data, and we also calculated 95% confidence intervals (CIs). RESULTS In this meta-analysis, we found that the GSTM1-null genotype was associated with bladder cancer risk in the overall population, and individually in whites, Africans and Asians (overall population: OR = 1.40, 95% CI: 1.31-1.48, P<0.00001; whites: OR = 1.39, 95% CI: 1.26-1.54, P<0.00001; Africans: OR = 1.54, 95% CI: 1.16-2.05, P = 0.003; Asians: OR = 1.45, 95% CI: 1.33-1.59, P<0.00001). The GSTT1-null genotype was associated with bladder cancer risk in the overall population, but not in whites, in Africans or Asians (overall population: OR = 1.11, 95% CI: 1.01-1.22, P = 0.03; whites: OR = 1.16, 95% CI: 0.99-1.36, P = 0.07; Africans: OR = 1.07, 95% CI: 0.65-1.76, P = 0.79; Asians: OR = 1.05, 95% CI: 0.91-1.22, P = 0.51). Interestingly, a dual-null GSTM1-GSTT1 genotype was associated with bladder cancer risk in the overall population and in Asians (overall population: OR = 1.48, 95% CI: 1.15-1.92, P = 0.002; Asians: OR = 1.62, 95% CI: 1.15-2.28, P = 0.006). In conclusion, the GSTM1-null, GSTT1-null and dual-null GSTM1-GSTT1 genotypes might be associated with the onset of bladder cancer, but additional genetic-epidemiological studies should be conducted to explore this association further.
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Affiliation(s)
- Tianbiao Zhou
- Department of Nephrology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041 China
| | - Hong-Yan Li
- Department of Nephrology, Huadu District People’s Hospital of Guangzhou, Southern Medical University, Guangzhou, China
| | - Wei-Ji Xie
- Department of Nephrology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041 China
| | - Zhiqing Zhong
- Department of Nephrology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041 China
| | - Hongzhen Zhong
- Department of Nephrology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041 China
| | - Zhi-Jun Lin
- Department of Nephrology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041 China
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de Maturana EL, Rava M, Anumudu C, Sáez O, Alonso D, Malats N. Bladder Cancer Genetic Susceptibility. A Systematic Review. Bladder Cancer 2018; 4:215-226. [PMID: 29732392 PMCID: PMC5929300 DOI: 10.3233/blc-170159] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Background: The variant/gene candidate approach to explore bladder cancer (BC) genetic susceptibility has been applied in many studies with significant findings reported. However, results are not always conclusive due to the lack of replication by subsequent studies. Objectives: To identify all epidemiological investigations on the genetic associations with BC risk, to quantify the likely magnitude of the associations by applying metaanalysis methodology and to assess whether there is a potential for publication/reporting bias. Methods: To address our aims, we have catalogued all genetic association studies published in the field of BC risk since 2000. Furthermore, we metaanalysed all polymorphisms with data available from at least three independent case-control studies with subjects of Caucasian origin analyzed under the same mode of inheritance. Results: The characterization of the genetic susceptibility of BC is composed of 28 variants, GWAS contributing most of them. Most of the significant variants associated with BC risk are located in genes belonging to chemical carcinogenesis, DNA repair, and cell cycle pathways. Causal relationship was also provided by functional analysis for GSTM1-null, NAT2-slow, APOBEC-rs1014971, CCNE1-rs8102137, SLC14A1-rs10775480, PSCA-rs2294008, UGT1A-rs1189203, and TP63-rs35592567. Conclusions: Genetic susceptibility of BC is still poorly defined, with GWAS contributing most of the strongest evidence. The systematic review did not provide evidence of further genetic associations. The potential public health translation of the existing knowledge on genetic susceptibility on BC is still limited.
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Affiliation(s)
| | - Marta Rava
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and CIBERONC, Spain
| | - Chiaka Anumudu
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and CIBERONC, Spain
| | - Olga Sáez
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and CIBERONC, Spain
| | - Dolores Alonso
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and CIBERONC, Spain
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and CIBERONC, Spain
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Yu C, Hequn C, Longfei L, Long W, Zhi C, Feng Z, Jinbo C, Chao L, Xiongbing Z. GSTM1 and GSTT1 polymorphisms are associated with increased bladder cancer risk: Evidence from updated meta-analysis. Oncotarget 2018; 8:3246-3258. [PMID: 27911277 PMCID: PMC5356879 DOI: 10.18632/oncotarget.13702] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Accepted: 11/16/2016] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Previous studies have indicated association between GSTM1 and GSTT1 gene polymorphisms and bladder cancer susceptibility, but the results have been inconclusive. Here, we performed a meta-analysis to investigate the association between GSTM1/GSTT1 deletion polymorphisms and bladder cancer susceptibility. METHODS We searched for all studies investigating the association between GSTM1 or GSTT1 polymorphism and bladder cancer susceptibility in Pubmed, Web of Knowledge, and the Cochrane Central Search Library. A systematic review and meta-analysis were performed. Subgroup analyses were performed on different ethnicity, population-based and smoking status. RESULTS Our search identified 63 studies. GSTM1 null, GSTT1 null and GSTM1/GSTT1 double-null genotypes were associated with increased risk of bladder cancer (OR: 1.36 95% CI: 1.25-1.47, P<0.01; OR: 1.13 95% CI: 1.02-1.25, P<0.01; OR: 1.84 95% CI: 1.50-2.26, P<0.01). Subgroup analyses indicated that the GSTM1-null genotype was associated with increased risk of bladder cancer in Caucasians and Asians, while the GSTT1-null genotype was associated with increased risk of bladder cancer in Caucasians. The GSTM1/GSTT1 double-null genotype was associated with increased risk of bladder cancer in Caucasians, Asians, and Africans. Stratified analyses of population-based associations indicated increased bladder cancer risk associated with GSTM1-null and GSTM1/GSTT1 double-null genotypes in hospital-based and population-based studies. GSTM1 deletion was associated with increased bladder cancer risk in both smokers and nonsmokers. Non-smokers with the GSTM1/GSTT1 double-null genotype had an increased bladder cancer risk. CONCLUSION This meta-analysis demonstrates that the GSTM1-null, GSTT1-null, and GSTM1/GSTT1 double-null genotypes are associated with increased bladder cancer risk.
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Affiliation(s)
- Cui Yu
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
| | - Chen Hequn
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
| | - Liu Longfei
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
| | - Wang Long
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
| | - Chen Zhi
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
| | - Zeng Feng
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
| | - Chen Jinbo
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
| | - Li Chao
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
| | - Zu Xiongbing
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
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24
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Bao F, Deng Y, Dai Q. ACID: Association Correction for Imbalanced Data in GWAS. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2018; 15:316-322. [PMID: 28113676 DOI: 10.1109/tcbb.2016.2608819] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Genome-wide association study (GWAS) has been widely witnessed as a powerful tool for revealing suspicious loci from various diseases. However, real world GWAS tasks always suffer from the data imbalance problem of sufficient control samples and limited case samples. This imbalance issue can cause serious biases to the result and thus leads to losses of significance for true causal markers. To tackle this problem, we proposed a computational framework to perform association correction for imbalanced data (ACID) that could potentially improve the performance of GWAS under the imbalance condition. ACID is inspired by the imbalance learning theory but is particularly modified to address the task of association discovery from sequential genomic data. Simulation studies demonstrate ACID can dramatically improve the power of traditional GWAS method on the dataset with severe imbalances. We further applied ACID to two imbalanced datasets (gastric cancer and bladder cancer) to conduct genome wide association analysis. Experimental results indicate that our method has better abilities in identifying suspicious loci than the regression approach and shows consistencies with existing discoveries.
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25
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Selinski S, Blaszkewicz M, Ickstadt K, Gerullis H, Otto T, Roth E, Volkert F, Ovsiannikov D, Moormann O, Banfi G, Nyirady P, Vermeulen SH, Garcia-Closas M, Figueroa JD, Johnson A, Karagas MR, Kogevinas M, Malats N, Schwenn M, Silverman DT, Koutros S, Rothman N, Kiemeney LA, Hengstler JG, Golka K. Identification and replication of the interplay of four genetic high-risk variants for urinary bladder cancer. Carcinogenesis 2017; 38:1167-1179. [PMID: 29028944 PMCID: PMC5862341 DOI: 10.1093/carcin/bgx102] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Accepted: 09/18/2017] [Indexed: 12/27/2022] Open
Abstract
Little is known whether genetic variants identified in genome-wide association studies interact to increase bladder cancer risk. Recently, we identified two- and three-variant combinations associated with a particular increase of bladder cancer risk in a urinary bladder cancer case-control series (Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), 1501 cases, 1565 controls). In an independent case-control series (Nijmegen Bladder Cancer Study, NBCS, 1468 cases, 1720 controls) we confirmed these two- and three-variant combinations. Pooled analysis of the two studies as discovery group (IfADo-NBCS) resulted in sufficient statistical power to test up to four-variant combinations by a logistic regression approach. The New England and Spanish Bladder Cancer Studies (2080 cases and 2167 controls) were used as a replication series. Twelve previously identified risk variants were considered. The strongest four-variant combination was obtained in never smokers. The combination of rs1014971[AA] near apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3A (APOBEC3A) and chromobox homolog 6 (CBX6), solute carrier family 1s4 (urea transporter), member 1 (Kidd blood group) (SLC14A1) exon single nucleotide polymorphism (SNP) rs1058396[AG, GG], UDP glucuronosyltransferase 1 family, polypeptide A complex locus (UGT1A) intron SNP rs11892031[AA] and rs8102137[CC, CT] near cyclin E1 (CCNE1) resulted in an unadjusted odds ratio (OR) of 2.59 (95% CI = 1.93-3.47; P = 1.87 × 10-10), while the individual variant ORs ranged only between 1.11 and 1.30. The combination replicated in the New England and Spanish Bladder Cancer Studies (ORunadjusted = 1.60, 95% CI = 1.10-2.33; P = 0.013). The four-variant combination is relatively frequent, with 25% in never smoking cases and 11% in never smoking controls (total study group: 19% cases, 14% controls). In conclusion, we show that four high-risk variants can statistically interact to confer increased bladder cancer risk particularly in never smokers.
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Affiliation(s)
- Silvia Selinski
- Systems Toxicology, Leibniz-Institut für Arbeitsforschung an der TU Dortmund, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Germany
| | - Meinolf Blaszkewicz
- Systems Toxicology, Leibniz-Institut für Arbeitsforschung an der TU Dortmund, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Germany
| | | | - Holger Gerullis
- Department of Urology, Lukasklinik Neuss, Germany.,University Hospital for Urology, Klinikum Oldenburg, School of Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, Germany
| | - Thomas Otto
- Department of Urology, Lukasklinik Neuss, Germany
| | - Emanuel Roth
- Department of Urology, Evangelic Hospital, Paul Gerhardt Foundation, Germany
| | - Frank Volkert
- Department of Urology, Evangelic Hospital, Paul Gerhardt Foundation, Germany
| | - Daniel Ovsiannikov
- Department of Urology, St.-Josefs-Hospital, Germany.,Department of Urology and Pediatric Urology, Kemperhof Hospital, Germany
| | | | - Gergely Banfi
- Department of Urology, Semmelweis University Budapest, Hungary
| | - Peter Nyirady
- Department of Urology, Semmelweis University Budapest, Hungary
| | - Sita H Vermeulen
- Department for Health Evidence (133 HEV) and Department of Urology (659 URO), Radboud University Medical Center (Radboudumc), The Netherlands
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute (NCI), National Institutes of Health (NIH), USA
| | - Jonine D Figueroa
- Usher Institute of Population Health Sciences and Informatics, CRUK Edinburgh Centre, University of Edinburgh, UK
| | - Alison Johnson
- Vermont Department of Health, Vermont Cancer Registry, USA
| | | | - Manolis Kogevinas
- Cancer Program, ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Spain.,CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Spain.,Hospital del Mar Medical Research Institute, Spain.,University Pompeu Fabra (UPF), Spain
| | - Nuria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Spain
| | - Molly Schwenn
- Maine Department of Health and Human Services, Maine Cancer Registry, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute (NCI), National Institutes of Health (NIH), USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute (NCI), National Institutes of Health (NIH), USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute (NCI), National Institutes of Health (NIH), USA
| | - Lambertus A Kiemeney
- Department for Health Evidence (133 HEV) and Department of Urology (659 URO), Radboud University Medical Center (Radboudumc), The Netherlands
| | - Jan G Hengstler
- Systems Toxicology, Leibniz-Institut für Arbeitsforschung an der TU Dortmund, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Germany
| | - Klaus Golka
- Systems Toxicology, Leibniz-Institut für Arbeitsforschung an der TU Dortmund, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Germany
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Dhaini HR, El Hafi B, Khamis AM. NAT1 genotypic and phenotypic contribution to urinary bladder cancer risk: a systematic review and meta-analysis. Drug Metab Rev 2017; 50:208-219. [PMID: 29258340 DOI: 10.1080/03602532.2017.1415928] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
N-acetyltransferase 1 (NAT1), a polymorphic Phase II enzyme, plays an essential role in metabolizing heterocyclic and aromatic amines, which are implicated in urinary bladder cancer (BCa). This systematic review investigates a possible association between the different NAT1 genetic polymorphisms and BCa risk. Medline, PubMed, EMBASE, Scopus, Web of Science, OpenGrey, and BASE databases were searched to identify eligible studies. The random-effect model was used to calculate pooled effects estimates. Statistical heterogeneity was tested with Chi-square and I2. Twenty case-control studies, including 5606 cases and 6620 controls, met the inclusion criteria. Pooled odds ratios (OR) analyses showed a statistically significant difference in NAT1*10 versus non-NAT1*10 acetylators in the total sample (OR: 0.87; 95% CI: 0.79-0.96) but was borderline among Caucasians (OR: 0.88 with 95% CI: 0.77-1.01). No statistically significant differences in BCa risk were found for: NAT1*10 versus NAT1*4 wild type (OR: 0.97; 95% CI: 0.78-1.19), NAT1 'Fast' versus 'Normal' acetylators (OR: 1.03; 95% CI: 0.84-1.27), and NAT1 'Slow' versus 'Fast' (OR: 2.32; 95% CI: 0.93-5.84) or 'Slow' versus 'Normal' acetylators (OR: 1.84; 95% CI: 0.92-3.68). When stratifying by smoking status, no statistically significant differences in BCa risk were found for NAT1*10 versus non-NAT1*10 acetylators among the different subgroups. Our study suggests a modest protective role for NAT1*10 and a possible risk contributory role for slow acetylation genotypes in BCa risk. Further research is recommended to confirm these associations.
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Affiliation(s)
- Hassan R Dhaini
- a Department of Environmental Health, Faculty of Health Sciences , American University of Beirut , Beirut , Lebanon
| | - Bassam El Hafi
- b Department of Experimental Pathology, Immunology and Microbiology, Faculty of Medicine , American University of Beirut , Beirut , Lebanon
| | - Assem M Khamis
- c Faculty of Medicine , Clinical Research Institute, American University of Beirut , Beirut , Lebanon
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27
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Selinski S. Discovering urinary bladder cancer risk variants: Status quo after almost ten years of genome-wide association studies. EXCLI JOURNAL 2017; 16:1288-1296. [PMID: 29285021 PMCID: PMC5735342 DOI: 10.17179/excli2017-1000] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 12/05/2017] [Indexed: 12/20/2022]
Affiliation(s)
- Silvia Selinski
- Leibniz Research Centre for Working Environment and Human Factors (IfADo)
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28
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Fang Z, Wu Y, Zhang N. Association between CYP2E1 genetic polymorphisms and urinary cancer risk: a meta-analysis. Oncotarget 2017; 8:86853-86864. [PMID: 29156840 PMCID: PMC5689730 DOI: 10.18632/oncotarget.20993] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 08/29/2017] [Indexed: 12/19/2022] Open
Abstract
Objective Studies investigating the contribution of Cytochrome P4502E1 (CYP2E1) polymorphisms to the etiology of urinary cancer draw inconsistent conclusions. Thus, we performed a meta-analysis to evaluate the association between CYP2E1 Rsa I/Pst I and Dra I polymorphisms and urinary cancer susceptibility. Materials and Methods Meta-analysis based on the eligible case-control studies that assess the association of CYP2E1 Rsa I/Pst I and Dra I polymorphisms with urinary cancer was conducted. Subgroup analyses based on ethnicity and cancer type were also carried out. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated to evaluate the strength of the associations between the two polymorphisms. Funnel plot and Begg’s test were used for publication bias diagnosis. Results We found decreased urinary cancer risk among subjects carrying CYP2E1 RsaI/PstI c1c2 + c2c2 genotype and c2 allele (OR = 0.73, 95% CI = 0.68–0.79 and OR = 0.79, 95% CI = 0.74–0.85, respectively), with 3,301 cases and 3,786 controls from 14 studies. We also observed a significant difference in c1c2 + c2c2 vs. c1c1 and c2 vs. c1 among Asians (OR = 0.68, 95% CI = 0.60–0.78 and OR = 0.75, 95% CI = 0.66–0.85, respectively). However, the meta-analysis based on 5 eligible studies showed no significant association between CYP2E1 Dra I polymorphism and urinary cancer susceptibility in either dominant model or the allele model. Conclusions Our meta-analysis concluded that CYP2E1 Rsa I/Pst I polymorphism correlates with urinary cancers risk in Asian population; while CYP2E1 Dra I polymorphism might be not significantly associated with the urinary cancer risks. Large and well-designed studies are needed to confirm these results.
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Affiliation(s)
- Zhiqing Fang
- Department of Urology, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Yun Wu
- Department of Breast Surgery, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Ning Zhang
- Department of Breast Surgery, Qilu Hospital, Shandong University, Jinan, Shandong, China
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Ritz BR, Chatterjee N, Garcia-Closas M, Gauderman WJ, Pierce BL, Kraft P, Tanner CM, Mechanic LE, McAllister K. Lessons Learned From Past Gene-Environment Interaction Successes. Am J Epidemiol 2017; 186:778-786. [PMID: 28978190 PMCID: PMC5860326 DOI: 10.1093/aje/kwx230] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 04/01/2017] [Accepted: 04/04/2017] [Indexed: 12/20/2022] Open
Abstract
Genetic and environmental factors are both known to contribute to susceptibility to complex diseases. Therefore, the study of gene-environment interaction (G×E) has been a focus of research for several years. In this article, select examples of G×E from the literature are described to highlight different approaches and underlying principles related to the success of these studies. These examples can be broadly categorized as studies of single metabolism genes, genes in complex metabolism pathways, ranges of exposure levels, functional approaches and model systems, and pharmacogenomics. Some studies illustrated the success of studying exposure metabolism for which candidate genes can be identified. Moreover, some G×E successes depended on the availability of high-quality exposure assessment and longitudinal measures, study populations with a wide range of exposure levels, and the inclusion of ethnically and geographically diverse populations. In several examples, large population sizes were required to detect G×Es. Other examples illustrated the impact of accurately defining scale of the interactions (i.e., additive or multiplicative). Last, model systems and functional approaches provided insights into G×E in several examples. Future studies may benefit from these lessons learned.
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Affiliation(s)
- Beate R. Ritz
- Correspondence to Dr. Beate R. Ritz, Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, 650 Charles Young Drive South, Los Angeles, CA 90095 (e-mail: )
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30
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Nasr R, Temraz S, Mukherji D, Shamseddine A, Akika R, Abbasi S, Khauli R, Bulbul M, Tamim H, Zgheib NK. Distribution and Role of N-acetyltransferase 2 Genetic Polymorphisms in Bladder Cancer Risk in a Lebanese Population. Asian Pac J Cancer Prev 2017; 18:2561-2568. [PMID: 28952301 PMCID: PMC5720667 DOI: 10.22034/apjcp.2017.18.9.2561] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Background: In Lebanon, bladder cancer (BC) has an unusually high prevalence. Individuals who are exposed to aromatic amines from smoking or certain occupations and carrying the slow N-acetyl transferase 2 (NAT2) acetylator’ phenotype may be at a higher risk. Methods: Data and DNA from 115 Lebanese BC cases and 306 controls were examined. Ten NAT2 single nucleotide polymorphisms were genotyped, seven of which were then included in haplotype and phenotype analysis. Results: BC patients were more likely to be males (87.8% vs. 54.9%) and current smokers (60.9% vs. 26.5%) when compared to controls. In both groups, most participants had the slow NAT2 acetylator phenotype (66.1% of BC cases vs 62.7% of controls; P=0.302) with the NAT2*5B and *6A haplotypes being the most common. The odds ratio (95%CI) of having BC among slow NAT2 acetylators was 1.157 (0.738-1.815) and remained non-significant after adjustment [1.097 (0.666-1.806)]. Sensitivity analysis with a subgroup of 113 cases and 84 controls for which occupational history was available revealed a statistically significant association between slow NAT2 acetylators and BC in females only. The sample size was however very small and the CI quite wide. Conclusions: This is the first study to evaluate the distribution of NAT2 haplotypes and their potential role in BC in a Lebanese population. The absence of any significant association may be due to the relatively small sample size, the unavailability of matching by gender, and the lack of evaluation of genetic interactions with extent of active and passive smoking, exposure to environmental pollutants, diet, and other genes. The potential association limited to females needs further evaluation.
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Affiliation(s)
- Rami Nasr
- Division of Urology, Department of Surgery, American University of Beirut Faculty of Medicine, Beirut, Lebanon.
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31
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Lukas C, Selinski S, Prager HM, Blaszkewicz M, Hengstler JG, Golka K. Occupational bladder cancer: Polymorphisms of xenobiotic metabolizing enzymes, exposures, and prognosis. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2017; 80:439-452. [PMID: 28696839 DOI: 10.1080/10937404.2017.1304731] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Approximately 7% of all bladder cancer cases in males are associated with occupation. The question arises whether the use of genome-wide association studies was able to identify bladder cancer risk factors that may modulate occupational bladder cancer risk and prognosis. One hundred and forty-three bladder cancer cases with suspected occupational bladder cancer and 337 controls were genotyped for the following polymorphisms: N-acetyltransferase 2 (NAT2), glutathione S-transferase M1 (GSTM1), glutathione S-transferase T1 (GSTT1), UDP-glucuronyltransferase 1A rs11892031 (UGT1A), rs9642880 (close to c-MYC), and rs710521 (close to TP63). The most relevant polymorphisms for occupational bladder cancer risk were GSTM1 and UGT1A, especially when co-occurring (GSTM1 negative and rs11892031[A/A]: 48% cases vs. 38% controls, OR 1.47, 95% CI 0.99-2.20). The effect was more pronounced in smokers. GSTM1 negative genotype occurred more frequently in cancer cases exposed to aromatic amines, carbolineum, and in painters and varnishers. UGT1A (rs11892031[A/A]) was found frequently in cases exposed to carbolineum, crack test spray, PAH, and in painters and varnishers. All investigated polymorphisms except rs710521 (TP63) seemed to exert an impact on recurrence risk. Relapse-free times were shorter for NAT2 slow and ultra-slow, GSTT1 positive and GSTM1 negative cases. Occupational bladder cancer cases with a number of risk variants displayed significantly shorter relapse-free times compared to cases with few, less relevant risk alleles as evidenced by median difference 8 months. In conclusion, in the present, suspected occupational bladder cancer cases phase II polymorphisms involved in bladder carcinogen metabolism modulate bladder cancer recurrence. Most relevant for bladder cancer risk were GSTM1 and UGT1A but not NAT2.
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Affiliation(s)
- Cordula Lukas
- a Institute for Occupational, Social and Environmental Medicine , Castrop-Rauxel , Germany
| | - Silvia Selinski
- b Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund , Germany
| | - Hans-Martin Prager
- a Institute for Occupational, Social and Environmental Medicine , Castrop-Rauxel , Germany
| | - Meinolf Blaszkewicz
- b Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund , Germany
| | - Jan G Hengstler
- b Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund , Germany
| | - Klaus Golka
- b Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund , Germany
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Ebbinghaus D, Bánfi G, Selinski S, Blaszkewicz M, Bürger H, Hengstler JG, Nyirády P, Golka K. Polymorphisms of xenobiotic metabolizing enzymes in bladder cancer patients of the Semmelweis University Budapest, Hungary. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2017; 80:423-429. [PMID: 28696897 DOI: 10.1080/10937404.2017.1304736] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Polymorphic xenobiotic metabolizing enzymes such as N-acetyltransferase 2 (NAT2) or glutathione S-transferase M1 (GSTM1) are known to modulate bladder cancer risk. As no apparent data were available from Hungary, a former member of the eastern European economic organization, a study was performed in Budapest. In total, 182 bladder cancer cases and 78 cancer-free controls were investigated by questionnaire. Genotypes of NAT2, GSTM1, GSTT1, rs1058396 and rs17674580 were determined by standard methods. Current smokers' crude odds ratio (OR) (3.43) and former smokers crude OR (2.36) displayed a significantly increased bladder cancer risk. The risk rose by a factor of 1.56 per 10 pack years. Exposure to fumes was associated with an elevated bladder cancer risk (23% cases, 13% controls). Sixty-four % of the cases and 59% of controls were slow NAT2 acetylators. It was not possible to establish a particular impact of NAT2*6A and *7B genotypes (15 cases, 8%, 5 controls, 7%). GSTT1 exerted no marked influence on bladder cancer (negative 21% cases vs. 22% controls). The portion of GSTM1 negative bladder cancer patients was increased (63% cases vs. 54% controls). The SLC14A1 SNPs rs1058396[AG/GG] and the nearby rs17674580[CT/TT] occurred more frequently in cases (79% and 68%) than controls (77% and 55%). The portion of GSTM1 negative bladder cancer patients is comparable with portions reported from other industrialized areas like Lutherstadt Wittenberg/Germany (58%), Dortmund/Germany (70%), Brescia/Italy (66%) or an occupational case-control series in Germany (56%). Data indicate that GSTM1 is a susceptibility factor for environmentally triggered bladder cancer rather than for smoking-mediated bladder cancer.
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Affiliation(s)
- Dörte Ebbinghaus
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund, Germany
| | - Gergely Bánfi
- b Department of Urology , Semmelweis University , Budapest, Hungary
| | - Silvia Selinski
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund, Germany
| | - Meinolf Blaszkewicz
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund, Germany
| | - Hannah Bürger
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund, Germany
- c Faculty of Statistics , TU Dortmund University , Dortmund, Germany
| | - Jan G Hengstler
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund, Germany
| | - Péter Nyirády
- b Department of Urology , Semmelweis University , Budapest, Hungary
| | - Klaus Golka
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund, Germany
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Catalytic properties and heat stabilities of novel recombinant human N-acetyltransferase 2 allozymes support existence of genetic heterogeneity within the slow acetylator phenotype. Arch Toxicol 2017; 91:2827-2835. [PMID: 28523442 DOI: 10.1007/s00204-017-1989-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 05/11/2017] [Indexed: 01/25/2023]
Abstract
Human N-acetyltransferase 2 (NAT2) catalyzes the N-acetylation of numerous aromatic amine drugs such as sulfamethazine (SMZ) and hydrazine drugs such as isoniazid (INH). NAT2 also catalyzes the N-acetylation of aromatic amine carcinogens such as 2-aminofluorene and the O- and N,O-acetylation of aromatic amine and heterocyclic amine metabolites. Genetic polymorphism in NAT2 modifies drug efficacy and toxicity as well as cancer risk. Acetyltransferase catalytic activities and heat stability associated with six novel NAT2 haplotypes (NAT2*6C, NAT2*14C, NAT2*14D, NAT2*14E, NAT2*17, and NAT2*18) were compared with that of the reference NAT2*4 haplotype following recombinant expression in Escherichia coli. N-acetyltransferase activities towards SMZ and INH were significantly (p < 0.0001) lower when catalyzed by the novel recombinant human NAT2 allozymes compared to NAT2 4. SMZ and INH N-acetyltransferase activities catalyzed by NAT2 14C and NAT2 14D were significantly lower (p < 0.001) than catalyzed by NAT2 6C and NAT2 14E. N-Acetylation catalyzed by recombinant human NAT2 17 was over several hundred-fold lower than by recombinant NAT2 4 precluding measurement of its kinetic or heat inactivation constants. Similar results were observed for the O-acetylation of N-hydroxy-2-aminofluorene and N-hydroxy-2-amino-1-methyl-6-phenylimidazo [4,5-b] pyridine and the intramolecular N,O-acetylation of N-hydroxy-N-acetyl-2-aminofluorene. The apparent V max of the novel recombinant NAT2 allozymes NAT2 6C, NAT2 14C, NAT2 14D, and NAT2 14E towards AF, 4-aminobiphenyl (ABP), and 3,2'-dimethyl-4-aminobiphenyl (DMABP) were each significantly (p < 0.001) lower while their apparent K m values did not differ significantly (p > 0.05) from recombinant NAT2 4. The apparent V max catalyzed by NAT2 14C and NAT2 14D were significantly lower (p < 0.05) than the apparent V max catalyzed by NAT2 6C and NAT2 14E towards AF, ABP, and DMABP. Heat inactivation rate constants for recombinant human NAT2 14C, 14D, 14E, and 18 were significantly (p < 0.05) higher than NAT2 4. These results provide further evidence of genetic heterogeneity within the NAT2 slow acetylator phenotype.
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Doll MA, Hein DW. Genetic heterogeneity among slow acetylator N-acetyltransferase 2 phenotypes in cryopreserved human hepatocytes. Arch Toxicol 2017; 91:2655-2661. [PMID: 28516247 DOI: 10.1007/s00204-017-1988-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Accepted: 05/11/2017] [Indexed: 01/29/2023]
Abstract
Genetic polymorphisms in human N-acetyltransferase 2 (NAT2) modify the metabolism of numerous drugs and carcinogens. These genetic polymorphisms modify both drug efficacy and toxicity and cancer risk associated with carcinogen exposure. Previous studies have suggested phenotypic heterogeneity among different NAT2 slow acetylator genotypes. NAT2 phenotype was investigated in vitro and in situ in samples of human hepatocytes obtained from various NAT2 slow and intermediate NAT2 acetylator genotypes. NAT2 gene dose response (NAT2*5B/*5B > NAT2*5B/*6A > NAT2*6A/*6A) was observed towards the N-acetylation of the NAT2-specific drug sulfamethazine by human hepatocytes both in vitro and in situ. N-acetylation of 4-aminobiphenyl, an arylamine carcinogen substrate for both N-acetyltransferase 1 and NAT2, showed the same trend both in vitro and in situ although the differences were not significant (p > 0.05). The N-acetylation of the N-acetyltransferase 1-specific substrate p-aminobenzoic acid did not follow this trend. In comparisons of NAT2 intermediate acetylator genotypes, differences in N-acetylation between NAT2*4/*5B and NAT2*4/*6B hepatocytes were not observed in vitro or in situ towards any of these substrates. These results further support phenotypic heterogeneity among NAT2 slow acetylator genotypes, consistent with differential risks of drug failure or toxicity and cancer associated with carcinogen exposure.
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Affiliation(s)
- Mark A Doll
- Department of Pharmacology and Toxicology and James Graham Brown Cancer Center, University of Louisville Health Sciences Center, Kosair Charities CTR, 505 South Hancock Street, Louisville, KY, 40202, USA
| | - David W Hein
- Department of Pharmacology and Toxicology and James Graham Brown Cancer Center, University of Louisville Health Sciences Center, Kosair Charities CTR, 505 South Hancock Street, Louisville, KY, 40202, USA.
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Susilowati RW, Prayuni K, Razari I, Bahri S, Yuliwulandari R. High frequency of NAT2 slow acetylator alleles in the Malay population of Indonesia: an awareness to the anti-tuberculosis drug induced liver injury and cancer. MEDICAL JOURNAL OF INDONESIA 2017. [DOI: 10.13181/mji.v26i1.1563] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
Background: Arylamine N-acetyltransferase 2 (NAT2) polymorphism was previously reported to have association with the risk of drug toxicities and the development of various diseases. Previous research on the Indonesian population, especially Javanese and Sundanese, showed that there were 33% NAT2 slow acetylator phenotype. The aim of this study was to map the NAT2 variation in the Malay ethnic to gain a deeper insight into NAT2 haplotypic composition in this ethnic.Methods: 50 healthy samples from the Indonesian Malay ethnic were obtained. They were interviewed about their ethnic backgrounds for the last three generations. DNA was extracted from peripheral blood and NAT2 genotyping was done using the PCR direct Sequencing. Data were compiled according to the genotype and allele frequencies estimated from the observed numbers of each specific allele. Haplotype reconstruction was performed using PHASE v2.1.1 software.Results: We found 7 haplotypes consisting of 6 SNPs and 14 NAT2 genotype variations in Indonesian Malay population. The most frequent allele was NAT2*6A (38%) which was classified as a slow acetylator allele. According to bimodal distribution, the predicted phenotype of the Malay population was composed of 62% rapid acetylator and 38% slow acetylator. According to trimodal distribution, the predicted phenotypes for rapid, intermediate and slow acetylators were 10%, 52% and 38% respectively.Conclusion: Our result indicates the presence of the allelic distribution and revealed the most frequent acetylator status and phenotype for the Indonesian Malay population. The result of this study will be helpful for future epidemiological or clinical studies and for understanding the genetic basis of acetylation polymorphism in Indonesia.
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Combined Genetic Biomarkers Confer Susceptibility to Risk of Urothelial Bladder Carcinoma in a Saudi Population. DISEASE MARKERS 2017. [PMID: 28348449 DOI: 10.1155/2017/1474560]] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
We evaluated the associations between seven single nucleotide polymorphisms and susceptibility to urothelial bladder carcinoma (UBC) in a Saudi population. Genomic DNA was taken from buccal cells of 52 patients with UBC and 104 controls for genotyping of GSTT1, GSTM1, rs4646903, rs1048943, TP53 rs1042522, rs1801133, and rs1801394 using PCR and TaqMan® assays. The rs1801133 and rs1801394 variants showed strong associations with UBC (OR = 2.3, P = 0.0002; OR = 2.6, P = 0.0001, resp.). Homozygosity of Pro72 conferred a significant double risk in cases compared with controls (30.8% versus 15.4%), but the homozygote Arg/Arg had no effect on risk. Genotypic combinations of GSTM1/GSTT1, rs4646903/rs1048943, and rs1801133/rs1801394 exhibited significant linkage with the disease (χ2 = 10.3, P = 0.006; χ2 = 13.9, P = 0.003; and χ2 = 20.4, P = 0.0004, resp.). The GSTM1 and rs1042522Arg and rs1801394G variant alleles were more frequent in current smokers with UBC (52.4%, 52.5%, and 64.3%, resp.) than were the corresponding wild-types. Despite some variants having only a slight effect on UBC risk, the interaction effect of combined genetic biomarkers-or even the presence of one copy of a variant allele-is potentially much greater. Perhaps more studies regarding next-generation genetic sequencing and its utility can add to the risk of UBC.
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Elhawary NA, Nassir A, Saada H, Dannoun A, Qoqandi O, Alsharif A, Tayeb MT. Combined Genetic Biomarkers Confer Susceptibility to Risk of Urothelial Bladder Carcinoma in a Saudi Population. DISEASE MARKERS 2017; 2017:1474560. [PMID: 28348449 PMCID: PMC5350417 DOI: 10.1155/2017/1474560] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/05/2016] [Revised: 01/21/2017] [Accepted: 02/05/2017] [Indexed: 02/07/2023]
Abstract
We evaluated the associations between seven single nucleotide polymorphisms and susceptibility to urothelial bladder carcinoma (UBC) in a Saudi population. Genomic DNA was taken from buccal cells of 52 patients with UBC and 104 controls for genotyping of GSTT1, GSTM1, rs4646903, rs1048943, TP53 rs1042522, rs1801133, and rs1801394 using PCR and TaqMan® assays. The rs1801133 and rs1801394 variants showed strong associations with UBC (OR = 2.3, P = 0.0002; OR = 2.6, P = 0.0001, resp.). Homozygosity of Pro72 conferred a significant double risk in cases compared with controls (30.8% versus 15.4%), but the homozygote Arg/Arg had no effect on risk. Genotypic combinations of GSTM1/GSTT1, rs4646903/rs1048943, and rs1801133/rs1801394 exhibited significant linkage with the disease (χ2 = 10.3, P = 0.006; χ2 = 13.9, P = 0.003; and χ2 = 20.4, P = 0.0004, resp.). The GSTM1 and rs1042522Arg and rs1801394G variant alleles were more frequent in current smokers with UBC (52.4%, 52.5%, and 64.3%, resp.) than were the corresponding wild-types. Despite some variants having only a slight effect on UBC risk, the interaction effect of combined genetic biomarkers-or even the presence of one copy of a variant allele-is potentially much greater. Perhaps more studies regarding next-generation genetic sequencing and its utility can add to the risk of UBC.
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Affiliation(s)
- Nasser Attia Elhawary
- 1Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, P.O. Box 57543, Mecca 21955, Saudi Arabia
- 2Department of Molecular Genetics, Medical Genetics Center, Faculty of Medicine, Ain Shams University, Cairo 11566, Egypt
- *Nasser Attia Elhawary:
| | - Anmar Nassir
- 3Department of Surgery, Faculty of Medicine, Umm Al-Qura University, Mecca 21955, Saudi Arabia
- 4Department of Urology, King Abdullah Medical City Specialist Hospital, Mecca 21955, Saudi Arabia
| | - Hesham Saada
- 4Department of Urology, King Abdullah Medical City Specialist Hospital, Mecca 21955, Saudi Arabia
| | - Anas Dannoun
- 1Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, P.O. Box 57543, Mecca 21955, Saudi Arabia
| | - Omar Qoqandi
- 1Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, P.O. Box 57543, Mecca 21955, Saudi Arabia
| | - Ammar Alsharif
- 5Division of Internal Medicine, Al-Noor Specialist Hospital, Mecca 21955, Saudi Arabia
| | - Mohammed Taher Tayeb
- 1Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, P.O. Box 57543, Mecca 21955, Saudi Arabia
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A prospective multicenter study on bladder cancer: the COBLAnCE cohort. BMC Cancer 2016; 16:837. [PMID: 27809812 PMCID: PMC5094141 DOI: 10.1186/s12885-016-2877-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 10/24/2016] [Indexed: 12/21/2022] Open
Abstract
Background Bladder cancer is a very heterogeneous disease as regards natural history. Environmental exposures, constitutional genetic and/or epigenetic background may affect not only the likelihood of bladder tumor occurrence, but also the histologic type of cancer and its outcome. Currently, only a few data are available to study the prognostic role of genetic and environmental factors. Likewise, data on the economic burden of bladder cancer and the longitudinal impact of the disease and the treatments on patient quality of life are scarce. Methods COBLAnCE is a large French-based clinical cohort study on bladder cancer. Newly diagnosed patients are enrolled prospectively in 12 public hospitals and 5 private for profits hospitals. The target sample size is 2,000 patients. All patients are to be followed for 6 years. Information on patient characteristics and lifestyle is collected during a face-to-face interview at enrollment. Clinical information on disease presentation, diagnosis, and treatment is extracted from medical records for the primary tumor and for all subsequent local and distant recurrences. Quality of life and resource use is collected at recruitment and during follow-up. In parallel, 4 types of biological samples (blood, tumor tissue, urine and nail) are collected, at baseline and during follow-up. DNA, RNA and PBMLs are extracted from blood samples, DNA and RNA from stabilized urine, proteins from frozen urine, DNA, RNA and proteins from frozen tumor tissues, and DNA and RNA from formalin-fixed paraffin-embedded tumor tissues. All derived products are stored at −80 °C or in liquid nitrogen. Main endpoints are gene-environment interactions, molecular classification, biomarker discovery, therapeutic innovation, treatment patterns, healthcare resource use, bladder cancer outcomes and quality of life. Discussion The COBLAnCE cohort will provide considerable insight into the biology of bladder cancer and the mechanisms through which genetic and environmental factors may influence the prognosis. It may allow the discovery of emerging biomarkers. Finally, economic data will be useful for future cost-effectiveness studies of immunotherapy drugs or other therapeutics in bladder cancer.
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Selinski S, Blaszkewicz M, Getzmann S, Golka K. N-Acetyltransferase 2: ultra-slow acetylators enter the stage. Arch Toxicol 2016; 89:2445-7. [PMID: 26608182 DOI: 10.1007/s00204-015-1650-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- S Selinski
- Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
| | - M Blaszkewicz
- Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
| | - S Getzmann
- Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
| | - K Golka
- Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
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Yu Y, Li X, Liang C, Tang J, Qin Z, Wang C, Xu W, Hua Y, Shao P, Xu T. The relationship between GSTA1, GSTM1, GSTP1, and GSTT1 genetic polymorphisms and bladder cancer susceptibility: A meta-analysis. Medicine (Baltimore) 2016; 95:e4900. [PMID: 27631264 PMCID: PMC5402607 DOI: 10.1097/md.0000000000004900] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Previous studies have investigated the relationship between GSTA1, GSTM1, GSTP1, and GSTT1 polymorphisms and bladder cancer (BCa) susceptibility, respectively, but the results remain inconsistent. So, we conducted this meta-analysis including 79 case-control studies to explore such relationships. METHODS We searched PubMed, EMBASE, Cochrane library, Web of Science, and CNKI for relevant available studies. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were implemented to evaluate the intensity of associations. Publication bias was estimated using Begg funnel plots and Egger regression test. To assess the stability of the results, we used sensitivity analysis with the method of calculating the results again by omitting 1 single study each time. Between-study heterogeneity was tested using the I statistic. RESULTS No significant association between GSTA1 polymorphism and BCa susceptibility (OR = 1.05, 95% CI 0.83-1.33) was noted. Besides, meaningful association between individuals who carried the GSTM1 null genotype and increased BCa risk was detected (OR = 1.39, 95%CI 1.28-1.51). When stratified by ethnicity, significant difference was found in both Caucasian (OR = 1.39, 95% CI 1.23-1.58) and Asian populations (OR = 1.45, 95% CI 1.31-1.61). Moreover, in the subgroup analysis by source of controls (SOC), the results were significant in both hospital-based control groups (OR = 1.49, 95% CI 1.35-1.64) and population-based control groups (OR = 1.21, 95% CI = 1.07-1.37). Additionally, the analysis revealed no significant association between GSTP1 polymorphism and BCa risk (OR = 1.07, 95% CI 0.96-1.20). What is more, significant associations between GSTT1 polymorphism and BCa susceptibility were discovered (OR = 1.11, 95% CI 1.00-1.22). In the subgroup analysis by ethnicity, significant associations between GSTT1 null genotype and BCa risk were observed only in Caucasians (OR = 1.25, 95% CI 1.09-1.44). Furthermore, when stratified by SOC, no obvious relationship was found between the GSTT1 null genotype polymorphism with hospital-based population (OR = 1.11, 95% CI 0.97-1.28) or population-based population (OR = 1.10, 95% CI 0.96-1.27). CONCLUSION This study suggested that GSTM1 null genotype and GSTT1 null genotype might be related to higher BCa risk, respectively. However, no associations were observed between GSTA1 or GSTP1 polymorphisms and BCa susceptibility.
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Affiliation(s)
- Yajie Yu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Xiao Li
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
- Department of Urologic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University, Nanjing, China
| | - Chao Liang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Jingyuan Tang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Zhiqiang Qin
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Chengming Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Weizhang Xu
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital; Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province
| | - Yibo Hua
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Pengfei Shao
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
- Correspondence: Pengfei Shao, Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China (e-mail: ); Ting Xu, Department of Urologic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University, Nanjing 210009, China (e-mail: )
| | - Ting Xu
- Department of Urologic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University, Nanjing, China
- Correspondence: Pengfei Shao, Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China (e-mail: ); Ting Xu, Department of Urologic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University, Nanjing 210009, China (e-mail: )
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Ma C, Gu L, Yang M, Zhang Z, Zeng S, Song R, Xu C, Sun Y. rs1495741 as a tag single nucleotide polymorphism of N-acetyltransferase 2 acetylator phenotype associates bladder cancer risk and interacts with smoking: A systematic review and meta-analysis. Medicine (Baltimore) 2016; 95:e4417. [PMID: 27495060 PMCID: PMC4979814 DOI: 10.1097/md.0000000000004417] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Rs1495741 has been identified to infer N-acetyltransferase 2 (NAT2) acetylator phenotype, and to decrease the risk of bladder cancer. However, a number of studies conducted in various regions showed controversial results. To quantify the association between rs1495741 and the risk of bladder cancer and to estimate the interaction effect of this genetic variant with smoking, we performed a systematic literature review and meta-analysis involving 14,815 cases and 58,282 controls from 29 studies. Our results indicates rs1495741 significantly associated with bladder cancer risk (OR = 0.85, 95% CI = 0.82-0.89, test for heterogeneity P = 0.36, I = 7.0%). And we verified this association in populations from Europe, America, and Asia. Further, our stratified meta-analysis showed rs1495741's role is typically evident only in ever smokers, which suggests its interaction with smoking. This study may provide new insight into gene-environment study on bladder cancer.
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Affiliation(s)
| | | | - Mingyuan Yang
- Department of Spine Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China
| | | | | | | | - Chuanliang Xu
- Department of Urology
- Correspondence: Chuanliang Xu, Department of Urology, Changhai Hospital No.168 Changhai Road, Shanghai, 200433 China (e-mail: )
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Chen M, Rothman N, Ye Y, Gu J, Scheet PA, Huang M, Chang DW, Dinney CP, Silverman DT, Figueroa JD, Chanock SJ, Wu X. Pathway analysis of bladder cancer genome-wide association study identifies novel pathways involved in bladder cancer development. Genes Cancer 2016; 7:229-239. [PMID: 27738493 PMCID: PMC5059113 DOI: 10.18632/genesandcancer.113] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Accepted: 07/28/2016] [Indexed: 11/25/2022] Open
Abstract
Genome-wide association studies (GWAS) are designed to identify individual regions associated with cancer risk, but only explain a small fraction of the inherited variability. Alternative approach analyzing genetic variants within biological pathways has been proposed to discover networks of susceptibility genes with additional effects. The gene set enrichment analysis (GSEA) may complement and expand traditional GWAS analysis to identify novel genes and pathways associated with bladder cancer risk. We selected three GSEA methods: Gen-Gen, Aligator, and the SNP Ratio Test to evaluate cellular signaling pathways involved in bladder cancer susceptibility in a Texas GWAS population. The candidate genetic polymorphisms from the significant pathway selected by GSEA were validated in an independent NCI GWAS. We identified 18 novel pathways (P < 0.05) significantly associated with bladder cancer risk. Five of the most promising pathways (P ≤ 0.001 in any of the three GSEA methods) among the 18 pathways included two cell cycle pathways and neural cell adhesion molecule (NCAM), platelet-derived growth factor (PDGF), and unfolded protein response pathways. We validated the candidate polymorphisms in the NCI GWAS and found variants of RAPGEF1, SKP1, HERPUD1, CACNB2, CACNA1C, CACNA1S, COL4A2, SRC, and CACNA1C were associated with bladder cancer risk. Two CCNE1 variants, rs8102137 and rs997669, from cell cycle pathways showed the strongest associations; the CCNE1 signal at 19q12 has already been reported in previous GWAS. These findings offer additional etiologic insights highlighting the specific genes and pathways associated with bladder cancer development. GSEA may be a complementary tool to GWAS to identify additional loci of cancer susceptibility.
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Affiliation(s)
- Meng Chen
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yuanqing Ye
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Jian Gu
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Paul A Scheet
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Maosheng Huang
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - David W Chang
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Colin P Dinney
- Department of Urology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
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Quan L, Chattopadhyay K, Nelson HH, Chan KK, Xiang YB, Zhang W, Wang R, Gao YT, Yuan JM. Differential association for N-acetyltransferase 2 genotype and phenotype with bladder cancer risk in Chinese population. Oncotarget 2016; 7:40012-40024. [PMID: 27223070 PMCID: PMC5129988 DOI: 10.18632/oncotarget.9475] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Accepted: 04/16/2016] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND N-acetyltransferase 2 (NAT2) is involved in both carcinogen detoxification through hepatic N-acetylation and carcinogen activation through local O-acetylation. NAT2 slow acetylation status is significantly associated with increased bladder cancer risk among European populations, but its association in Asian populations is inconclusive. METHODS NAT2 acetylation status was determined by both single nucleotide polymorphisms (SNPs) and caffeine metabolic ratio (CMR), in a population-based study of 494 bladder cancer patients and 507 control subjects in Shanghai, China. RESULTS The CMR, a functional measure of hepatic N-acetylation, was significantly reduced in a dose-dependent manner among both cases and controls possessing the SNP-inferred NAT2 slow acetylation status (all P-values<5.0×10-10). The CMR-determined slow N-acetylation status (CMR<0.34) was significantly associated with a 50% increased risk of bladder cancer (odds ratio = 1.50, 95% confidence interval = 1.10-2.06) whereas the SNP-inferred slow acetylation statuses were significantly associated with an approximately 50% decreased risk of bladder cancer. The genotype-disease association was strengthened after the adjustment for CMR and was primarily observed among never smokers. CONCLUSIONS The apparent differential associations for phenotypic and genetic measures of acetylation statuses with bladder cancer risk may reflect dual functions of NAT2 in bladder carcinogenesis because the former only measures the capacity of carcinogen detoxification pathway while the latter represents both carcinogen activation and detoxification pathways. Future studies are warranted to ascertain the specific role of N- and O-acetylation in bladder carcinogenesis, particularly in populations exposed to different types of bladder carcinogens.
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Affiliation(s)
- Lei Quan
- University of Pittsburgh Cancer Institute, and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Current affiliation: School of Bioscience and Bioengineering, Guangdong Provincial Key Laboratory of Fermentation and Enzyme Engineering, South China University of Technology, Guangzhou China
| | - Koushik Chattopadhyay
- University of Pittsburgh Cancer Institute, and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Heather H. Nelson
- Masonic Cancer Center, and Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Kenneth K. Chan
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Yong-Bing Xiang
- Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wei Zhang
- Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Renwei Wang
- University of Pittsburgh Cancer Institute, and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Yu-Tang Gao
- Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Simonds NI, Ghazarian AA, Pimentel CB, Schully SD, Ellison GL, Gillanders EM, Mechanic LE. Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know? Genet Epidemiol 2016; 40:356-65. [PMID: 27061572 DOI: 10.1002/gepi.21967] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Revised: 01/07/2016] [Accepted: 02/11/2016] [Indexed: 12/15/2022]
Abstract
BACKGROUND Risk of cancer is determined by a complex interplay of genetic and environmental factors. Although the study of gene-environment interactions (G×E) has been an active area of research, little is reported about the known findings in the literature. METHODS To examine the state of the science in G×E research in cancer, we performed a systematic review of published literature using gene-environment or pharmacogenomic flags from two curated databases of genetic association studies, the Human Genome Epidemiology (HuGE) literature finder and Cancer Genome-Wide Association and Meta Analyses Database (CancerGAMAdb), from January 1, 2001, to January 31, 2011. A supplemental search using HuGE was conducted for articles published from February 1, 2011, to April 11, 2013. A 25% sample of the supplemental publications was reviewed. RESULTS A total of 3,019 articles were identified in the original search. From these articles, 243 articles were determined to be relevant based on inclusion criteria (more than 3,500 interactions). From the supplemental search (1,400 articles identified), 29 additional relevant articles (1,370 interactions) were included. The majority of publications in both searches examined G×E in colon, rectal, or colorectal; breast; or lung cancer. Specific interactions examined most frequently included environmental factors categorized as energy balance (e.g., body mass index, diet), exogenous (e.g., oral contraceptives) and endogenous hormones (e.g., menopausal status), chemical environment (e.g., grilled meats), and lifestyle (e.g., smoking, alcohol intake). In both searches, the majority of interactions examined were using loci from candidate genes studies and none of the studies were genome-wide interaction studies (GEWIS). The most commonly reported measure was the interaction P-value, of which a sizable number of P-values were considered statistically significant (i.e., <0.05). In addition, the magnitude of interactions reported was modest. CONCLUSION Observations of published literature suggest that opportunity exists for increased sample size in G×E research, including GWAS-identified loci in G×E studies, exploring more GWAS approaches in G×E such as GEWIS, and improving the reporting of G×E findings.
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Affiliation(s)
- Naoko I Simonds
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Armen A Ghazarian
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Camilla B Pimentel
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Sheri D Schully
- Office of Disease Prevention, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Gary L Ellison
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Elizabeth M Gillanders
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Leah E Mechanic
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, United States of America
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Wu H, Wang X, Zhang L, Mo N, Lv Z. Association Between N-acetyltransferase 2 Polymorphism and Bladder Cancer Risk: Results From Studies of the Past Decade and a Meta-Analysis. Clin Genitourin Cancer 2016; 14:122-9. [DOI: 10.1016/j.clgc.2015.10.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Revised: 10/04/2015] [Accepted: 10/17/2015] [Indexed: 12/24/2022]
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Wang M, Li Z, Chu H, Lv Q, Ye D, Ding Q, Xu C, Guo J, Du M, Chen J, Song Z, Yin C, Qin C, Gu C, Zhu Y, Xia G, Liu F, Zhang Z, Yuan L, Fu G, Hu Z, Tong N, Shen J, Liu K, Sun J, Sun Y, Li J, Li X, Shen H, Xu J, Shi Y, Zhang Z. Genome-Wide Association Study of Bladder Cancer in a Chinese Cohort Reveals a New Susceptibility Locus at 5q12.3. Cancer Res 2016; 76:3277-84. [PMID: 27206850 DOI: 10.1158/0008-5472.can-15-2564] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Accepted: 03/03/2016] [Indexed: 11/16/2022]
Abstract
Genome-wide association studies (GWAS) of bladder cancer have identified a number of susceptibility loci in European populations but have yet to uncover the genetic determinants underlying bladder cancer incidence among other ethnicities. Therefore, we performed the first GWAS in a Chinese cohort comprising 3,406 cases of bladder cancer and 4,645 controls. We identified a new susceptibility locus for bladder cancer at 5q12.3, located in the intron of CWC27 (rs2042329), that was significantly associated with disease risk (OR = 1.40; P = 4.61 × 10(-11)). However, rs2042329 was not associated with bladder cancer risk in patients of European descent. The rs2042329 risk allele was also related to significantly increased expression levels of CWC27 mRNA and protein in bladder cancer tissues from Chinese patients. Additional functional analyses suggested that CWC27 played an oncogenic role in bladder cancer by inducing cell proliferation and suppressing apoptosis. In conclusion, the identification of a risk-associated locus at 5q12.3 provides new insights into the inherited susceptibility to bladder cancer in Chinese populations and may help to identify high-risk individuals. Cancer Res; 76(11); 3277-84. ©2016 AACR.
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Affiliation(s)
- Meilin Wang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China. Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China. Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Zhiqiang Li
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Haiyan Chu
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China. Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Qiang Lv
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Dingwei Ye
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qiang Ding
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chuanliang Xu
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Jianming Guo
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mulong Du
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China. Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Jianhua Chen
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Zhijian Song
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Changjun Yin
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Chao Qin
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Chengyuan Gu
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yao Zhu
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
| | - Guowei Xia
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Fang Liu
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhengsheng Zhang
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Lin Yuan
- Department of Urology, Jiangsu Province Hospital of TCM, Nanjing, China
| | - Guangbo Fu
- Department of Urology, The Huai-An First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Na Tong
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jiawei Shen
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Ke Liu
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Jielin Sun
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Yinghao Sun
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Jue Li
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Xingwang Li
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jianfeng Xu
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China. Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina. Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois.
| | - Yongyong Shi
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China. Shandong Provincial Key Laboratory of Metabolic Disease, The Affiliated Hospital of Qingdao University, Qingdao, China. Department of Psychiatry, The First Teaching Hospital of Xinjiang Medical University, Urumqi, China. Institute of Neuropsychiatric Science and Systems Biological Medicine, Shanghai Jiao Tong University, Shanghai, China. Institute of Social Cognitive and Behavioral Sciences, Shanghai Jiao Tong University, Shanghai, China.
| | - Zhengdong Zhang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China. Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China. Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
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Figueroa JD, Middlebrooks CD, Banday AR, Ye Y, Garcia-Closas M, Chatterjee N, Koutros S, Kiemeney LA, Rafnar T, Bishop T, Furberg H, Matullo G, Golka K, Gago-Dominguez M, Taylor JA, Fletcher T, Siddiq A, Cortessis VK, Kooperberg C, Cussenot O, Benhamou S, Prescott J, Porru S, Dinney CP, Malats N, Baris D, Purdue MP, Jacobs EJ, Albanes D, Wang Z, Chung CC, Vermeulen SH, Aben KK, Galesloot TE, Thorleifsson G, Sulem P, Stefansson K, Kiltie AE, Harland M, Teo M, Offit K, Vijai J, Bajorin D, Kopp R, Fiorito G, Guarrera S, Sacerdote C, Selinski S, Hengstler JG, Gerullis H, Ovsiannikov D, Blaszkewicz M, Castelao JE, Calaza M, Martinez ME, Cordeiro P, Xu Z, Panduri V, Kumar R, Gurzau E, Koppova K, Bueno-De-Mesquita HB, Ljungberg B, Clavel-Chapelon F, Weiderpass E, Krogh V, Dorronsoro M, Travis RC, Tjønneland A, Brennan P, Chang-Claude J, Riboli E, Conti D, Stern MC, Pike MC, Van Den Berg D, Yuan JM, Hohensee C, Jeppson RP, Cancel-Tassin G, Roupret M, Comperat E, Turman C, De Vivo I, Giovannucci E, Hunter DJ, Kraft P, Lindstrom S, Carta A, Pavanello S, Arici C, Mastrangelo G, Kamat AM, Zhang L, Gong Y, Pu X, Hutchinson A, Burdett L, Wheeler WA, Karagas MR, Johnson A, Schned A, Monawar Hosain GM, Schwenn M, Kogevinas M, Tardón A, Serra C, Carrato A, García-Closas R, Lloreta J, Andriole G, Grubb R, Black A, Diver WR, Gapstur SM, Weinstein S, Virtamo J, Haiman CA, Landi MT, Caporaso NE, Fraumeni JF, Vineis P, Wu X, Chanock SJ, Silverman DT, Prokunina-Olsson L, Rothman N. Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of European ancestry. Hum Mol Genet 2016; 25:1203-14. [PMID: 26732427 PMCID: PMC4817084 DOI: 10.1093/hmg/ddv492] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Revised: 10/12/2015] [Accepted: 11/26/2015] [Indexed: 12/21/2022] Open
Abstract
Candidate gene and genome-wide association studies (GWAS) have identified 15 independent genomic regions associated with bladder cancer risk. In search for additional susceptibility variants, we followed up on four promising single-nucleotide polymorphisms (SNPs) that had not achieved genome-wide significance in 6911 cases and 11 814 controls (rs6104690, rs4510656, rs5003154 and rs4907479, P < 1 × 10(-6)), using additional data from existing GWAS datasets and targeted genotyping for studies that did not have GWAS data. In a combined analysis, which included data on up to 15 058 cases and 286 270 controls, two SNPs achieved genome-wide statistical significance: rs6104690 in a gene desert at 20p12.2 (P = 2.19 × 10(-11)) and rs4907479 within the MCF2L gene at 13q34 (P = 3.3 × 10(-10)). Imputation and fine-mapping analyses were performed in these two regions for a subset of 5551 bladder cancer cases and 10 242 controls. Analyses at the 13q34 region suggest a single signal marked by rs4907479. In contrast, we detected two signals in the 20p12.2 region-the first signal is marked by rs6104690, and the second signal is marked by two moderately correlated SNPs (r(2) = 0.53), rs6108803 and the previously reported rs62185668. The second 20p12.2 signal is more strongly associated with the risk of muscle-invasive (T2-T4 stage) compared with non-muscle-invasive (Ta, T1 stage) bladder cancer (case-case P ≤ 0.02 for both rs62185668 and rs6108803). Functional analyses are needed to explore the biological mechanisms underlying these novel genetic associations with risk for bladder cancer.
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Affiliation(s)
- Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA, Usher Institute of Population Health Sciences and Informatics, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK,
| | - Candace D Middlebrooks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - A Rouf Banday
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA, Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lambertus A Kiemeney
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | | | | | - Giuseppe Matullo
- Department of Medical Sciences, University of Turin, Turin, Italy, Human Genetics Foundation, Turin, Italy
| | - Klaus Golka
- Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Research Triangle Park, NC, USA
| | - Tony Fletcher
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Victoria K Cortessis
- Department of Preventive Medicine, USC Keck School of Medicine, Department of Obstetrics and Gynecology, Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Olivier Cussenot
- Department of Urology, Tenon, Centre de Recherche sur les Pathologies Prostatiques, Paris, France, UPMC Univ Paris 06, GRC n°5, ONCOTYPE-URO, Paris, France
| | - Simone Benhamou
- Institut national de la sante et de la recherche medicale, U946, Foundation Jean Dausset Centre d'Etude du Polymorphisme Humain (CEPH), Paris, France, Centre National de la Receherche Scientifique, UMR8200, Institut Gustave-Roussy, Villejuif, France
| | - Jennifer Prescott
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA, Department of Epidemiology
| | - Stefano Porru
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Colin P Dinney
- Department of Urology, MD Anderson Cancer Center, Houston, TX, USA
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Eric J Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Zhaoming Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MD, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA, Department of Urology, MD Anderson Cancer Center, Houston, TX, USA
| | - Sita H Vermeulen
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Katja K Aben
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Tessel E Galesloot
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | | | - Kari Stefansson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Anne E Kiltie
- CRUK/MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford OX3 7DQ, UK
| | | | - Mark Teo
- Radiotherapy Research Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds LS9 7TF, UK
| | | | | | - Dean Bajorin
- Genitourinary Oncology Service, Division of Solid Tumor Oncology, Department of Medicine
| | - Ryan Kopp
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Giovanni Fiorito
- Department of Medical Sciences, University of Turin, Turin, Italy, Human Genetics Foundation, Turin, Italy
| | - Simonetta Guarrera
- Department of Medical Sciences, University of Turin, Turin, Italy, Human Genetics Foundation, Turin, Italy
| | | | - Silvia Selinski
- Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany
| | - Jan G Hengstler
- Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany
| | - Holger Gerullis
- University Hospital for Urology, Klinikum Oldenburg, School of Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany, Department of Urology, Lukasklinik Neuss, Germany
| | | | - Meinolf Blaszkewicz
- Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany
| | - Jose Esteban Castelao
- Oncology and Genetics Unit, Complejo Hospitalario, Instituto de Investigacion Biomedica (IBI) Orense-Pontevedra-Vigo, Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Manuel Calaza
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain, Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), University of Santiago de Compostela, Galicia, Spain
| | - Maria Elena Martinez
- Department of Family Medicine and Public Health, Moores Cancer Center, University of California San Diego, San Diego, CA, USA
| | - Patricia Cordeiro
- Department of Urology, Complejo Hospitalario, University of Santiago de Compostela, Servicio Galego de Saude (SERGAS), Santiago de Compostela, Spain
| | - Zongli Xu
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS)
| | - Vijayalakshmi Panduri
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Research Triangle Park, NC, USA
| | - Rajiv Kumar
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg; University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | | | - H Bas Bueno-De-Mesquita
- School of Public Health, Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Börje Ljungberg
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umea University, Umea, Sweden
| | - Françoise Clavel-Chapelon
- Inserm, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health team, Villejuif F-94805, France, Université Paris Sud, UMRS 1018, Villejuif F-94805, France, Institut Gustave Roussy, Villejuif F-94805, France
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway, Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Miren Dorronsoro
- Health Department, BioDonostia Research Institute, Basque Region, Spain, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | | | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg; University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - David Conti
- School of Public Health, Department of Obstetrics and Gynecology
| | - Marianna C Stern
- School of Public Health, Department of Obstetrics and Gynecology
| | | | | | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
| | - Chancellor Hohensee
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Rebecca P Jeppson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Geraldine Cancel-Tassin
- Centre de Recherche sur les Pathologies Prostatiques, Paris, France, UPMC Univ Paris 06, GRC n°5, ONCOTYPE-URO, Paris, France
| | - Morgan Roupret
- Department of Urology, Pitié-Salpétrière, Centre de Recherche sur les Pathologies Prostatiques, Paris, France, UPMC Univ Paris 06, GRC n°5, ONCOTYPE-URO, Paris, France
| | - Eva Comperat
- Department of Pathology, Pitié-Salpétrière, Assistance-Publique Hôpitaux de Paris (APHP), Paris, France, Centre de Recherche sur les Pathologies Prostatiques, Paris, France, UPMC Univ Paris 06, GRC n°5, ONCOTYPE-URO, Paris, France
| | | | - Immaculata De Vivo
- Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA, Department of Epidemiology, Department of Nutrition
| | - David J Hunter
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA, Department of Epidemiology, Department of Nutrition, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Peter Kraft
- Department of Epidemiology, Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | | | - Angela Carta
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Sofia Pavanello
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
| | - Cecilia Arici
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Giuseppe Mastrangelo
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy
| | - Ashish M Kamat
- Department of Urology, MD Anderson Cancer Center, Houston, TX, USA
| | - Liren Zhang
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Yilei Gong
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Xia Pu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MD, USA
| | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MD, USA
| | | | | | | | - Alan Schned
- Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | | | | | - Manolis Kogevinas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain, Municipal Institute of Medical Research, (IMIM-Hospital del Mar), Barcelona, Spain, National School of Public Health, Athens, Greece
| | - Adonina Tardón
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Consol Serra
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain, Municipal Institute of Medical Research, (IMIM-Hospital del Mar), Barcelona, Spain, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | | | - Reina García-Closas
- Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain
| | - Josep Lloreta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Gerald Andriole
- Division of Urologic Surgery, Washington University School of Medicine, Saint Louis, MO, USA and
| | - Robert Grubb
- Division of Urologic Surgery, Washington University School of Medicine, Saint Louis, MO, USA and
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jarmo Virtamo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | | | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Paolo Vineis
- Human Genetics Foundation, Turin, Italy, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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48
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Sakai K, Loza E, Roig GVG, Nozaki R, Asai T, Ikoma T, Tsuchiya Y, Kiyohara C, Yamamoto M, Nakamura K. CYP1A1, GSTM1, GSTT1 and TP53 Polymorphisms and Risk of Gallbladder Cancer in Bolivians. Asian Pac J Cancer Prev 2016; 17:781-4. [DOI: 10.7314/apjcp.2016.17.2.781] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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49
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Selinski S, Bürger H, Blaszkewicz M, Otto T, Volkert F, Moormann O, Niedner H, Hengstler JG, Golka K. Occupational risk factors for relapse-free survival in bladder cancer patients. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2016; 79:1136-1143. [PMID: 27924711 DOI: 10.1080/15287394.2016.1219606] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The influence of occupational risk factors on bladder cancer development is well investigated. However, studies on the influence on bladder cancer prognosis are rare. Therefore, it was of interest to investigate the time to first relapse in the follow-ups of three case-control series from Dortmund, Neuss, and Lutherstadt Wittenberg, Germany. Relapse-free survival of in total 794 urinary bladder cancer patients (Dortmund 174, Neuss 407, Lutherstadt Wittenberg 213) was derived from medical records. Cox regression models were used to determine the impact of profession and exposure to bladder carcinogens if the risk factor was present in at least four cases. One or several relapses were observed in 416 cases (52%). Median time to first relapse was 0.94 yr. Ten professions were observed in at least 4 patients. No significant associations were found. However, workers in the leather industry (n = 4), printing industry (n = 4), transportation (n = 43), and chemical industry (n = 40) and locksmiths/mechanics (n = 44) showed shorter relapse-free times. No trend to shorter relapse-free time was observed for miners (n = 42), agriculturists (n = 18), painters/lacquerers (n = 21), colorant production and processing workers (n = 7), foundry workers (n = 5), and persons exposed to aromatic amines (n = 45). Although the follow-up comprised nearly 800 cases, data on occupations and exposures of interest were not sufficient to obtain significant results. However, first results indicated potential associations that are worth further investigations.
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Affiliation(s)
- Silvia Selinski
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund , Germany
| | - Hannah Bürger
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund , Germany
- b Faculty of Statistics , TU Dortmund University , Dortmund , Germany
| | - Meinolf Blaszkewicz
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund , Germany
| | - Thomas Otto
- c Department of Urology , Lukasklinik Neuss , Germany
| | - Frank Volkert
- d Department of Urology, Evangelic Hospital , Paul Gerhardt Foundation , Lutherstadt Wittenberg , Germany
| | - Oliver Moormann
- e Department of Urology , St.-Josefs-Hospital , Dortmund-Hoerde , Germany
| | - Hartmut Niedner
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund , Germany
| | - Jan G Hengstler
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund , Germany
| | - Klaus Golka
- a Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo) , Dortmund , Germany
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50
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Wang Y, He J, Ma TJ, Lei W, Li F, Shen H, Shen ZY. GSTT1 Null Genotype Significantly Increases the Susceptibility to Urinary System Cancer: Evidences from 63,876 Subjects. J Cancer 2016; 7:1680-1693. [PMID: 27698905 PMCID: PMC5039389 DOI: 10.7150/jca.15494] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 05/18/2016] [Indexed: 02/07/2023] Open
Abstract
GSTT1 gene plays an important role in detoxification and clearance of reactive oxygen species(ROS). A null variant in this gene has been demonstrated to confer cancer susceptibility. Although many studies have demonstrated the association between GSTT1 null polymorphism and urinary system cancer susceptibility, several publications reported opposite conclusions. For better understanding the effects of this polymorphism on the risk of urinary system cancer, a updated meta-analysis was performed with a total of 26,666 cases and 37,210 controls extracted from 117 studies, by following the latest meta-analysis guidelines (PRISMA). The results suggested that the GSTT1 null genotype was significantly associated with an increased risk of urinary system cancer (OR=1.13, 95%CI=1.05-1.22). Furthermore, stratified analyses by the type of cancer, ethnicity, source of control and quality score presented a significantly increased risk associated with GSTT1 null genotype in bladder and prostate cancer subgroup, Caucasians and Indians subgroup, population-based(PB) subgroup, medium quality and low quality subgroup. Overall, our meta-analysis suggested that GSTT1 null genotype is a potential cancer susceptibility variant. Well-designed and large-cohort studies are needed to confirm the association between GSTT1 null genotype and urinary system cancer risk.
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Affiliation(s)
- Ying Wang
- Department of Cardiovascular Surgery of the First Affiliated Hospital& Institute for Cardiovascular Science, Soochow University, Suzhou, Jiangsu, China
| | - Jing He
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, Guangdong, China
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, Guangdong, China
| | - Tian-Jiao Ma
- Department of Internal Medicine, Harbin Medical University, Harbin 150081, Heilongjiang, China
| | - Wei Lei
- Department of Cardiovascular Surgery of the First Affiliated Hospital& Institute for Cardiovascular Science, Soochow University, Suzhou, Jiangsu, China
| | - Feng Li
- Department of Urinary Surgery, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Han Shen
- Department of Cardiovascular Surgery of the First Affiliated Hospital& Institute for Cardiovascular Science, Soochow University, Suzhou, Jiangsu, China
| | - Zhen-Ya Shen
- Department of Cardiovascular Surgery of the First Affiliated Hospital& Institute for Cardiovascular Science, Soochow University, Suzhou, Jiangsu, China
- ✉ Corresponding author: Zhen-Ya Shen, Department of Cardiovascular Surgery & Institute of Cardiovascular Science, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China,
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