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Hellwege JN, Stallings S, Torstenson ES, Carroll R, Borthwick KM, Brilliant MH, Crosslin D, Gordon A, Hripcsak G, Jarvik GP, Linneman JG, Devi P, Peissig PL, Sleiman PAM, Hakonarson H, Ritchie MD, Verma SS, Shang N, Denny JC, Roden DM, Velez Edwards DR, Edwards TL. Heritability and genome-wide association study of benign prostatic hyperplasia (BPH) in the eMERGE network. Sci Rep 2019; 9:6077. [PMID: 30988330 PMCID: PMC6465359 DOI: 10.1038/s41598-019-42427-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 03/27/2019] [Indexed: 02/07/2023] Open
Abstract
Benign prostatic hyperplasia (BPH) results in a significant public health burden due to the morbidity caused by the disease and many of the available remedies. As much as 70% of men over 70 will develop BPH. Few studies have been conducted to discover the genetic determinants of BPH risk. Understanding the biological basis for this condition may provide necessary insight for development of novel pharmaceutical therapies or risk prediction. We have evaluated SNP-based heritability of BPH in two cohorts and conducted a genome-wide association study (GWAS) of BPH risk using 2,656 cases and 7,763 controls identified from the Electronic Medical Records and Genomics (eMERGE) network. SNP-based heritability estimates suggest that roughly 60% of the phenotypic variation in BPH is accounted for by genetic factors. We used logistic regression to model BPH risk as a function of principal components of ancestry, age, and imputed genotype data, with meta-analysis performed using METAL. The top result was on chromosome 22 in SYN3 at rs2710383 (p-value = 4.6 × 10-7; Odds Ratio = 0.69, 95% confidence interval = 0.55-0.83). Other suggestive signals were near genes GLGC, UNCA13, SORCS1 and between BTBD3 and SPTLC3. We also evaluated genetically-predicted gene expression in prostate tissue. The most significant result was with increasing predicted expression of ETV4 (chr17; p-value = 0.0015). Overexpression of this gene has been associated with poor prognosis in prostate cancer. In conclusion, although there were no genome-wide significant variants identified for BPH susceptibility, we present evidence supporting the heritability of this phenotype, have identified suggestive signals, and evaluated the association between BPH and genetically-predicted gene expression in prostate.
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Affiliation(s)
- Jacklyn N Hellwege
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah Stallings
- Division of Geriatric Medicine, Meharry-Vanderbilt Alliance, Nashville, TN, USA
| | - Eric S Torstenson
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert Carroll
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA
| | | | - Murray H Brilliant
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - David Crosslin
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, USA
| | - Adam Gordon
- Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
- Medical Informatics Services, New York-Presbyterian Hospital, New York, NY, USA
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington, Seattle, WA, USA
| | - James G Linneman
- Office of Research Computing and Analytics/Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Parimala Devi
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, USA
| | - Peggy L Peissig
- Center for Computational and Biomedical Informatics, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Patrick A M Sleiman
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marylyn D Ritchie
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Ning Shang
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Josh C Denny
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dan M Roden
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Digna R Velez Edwards
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA.
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt Epidemiology Center, Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Todd L Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
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Risk factors for prostate cancer: A multifactorial case-control study. Curr Probl Cancer 2018; 42:337-343. [PMID: 29433825 DOI: 10.1016/j.currproblcancer.2018.01.014] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Revised: 01/09/2018] [Accepted: 01/15/2018] [Indexed: 01/04/2023]
Abstract
Prostate cancer is the third most commonly diagnosed cancer among Pakistani men. It is a multifactorial disease involving genetics together with environmental factors. Countries where men have greater dietary fat intake showed increased prostate cancer mortality rates. A population based case-control study was conducted to evaluate various prostate cancer risk factors. Study subjects were 896 prostate cancer cases (2010-2015) and 900 age matched controls. Odds ratio (OR) and 95% CI were used to estimate the association between different risk factors and prostate cancer. P values for different factors were computed by t-test, chi-square test, and Fisher exact test. Results showed significant association of increased age (OR = 10.6; CI: 7.92-14.31; P = 0.0001; Z = 15.7) and smoking (P = 0.05) with risk of disease. Consistent evidence suggested that fruits (P = 0.0001), vegetables (P = 0.0007), and diabetes mellitus (OR = 0.84; CI: 0.72-0.97; P = 0.02; Z = 2.28) were significantly associated with decreased prostate cancer risk. Comparison of education, marital status, occupation, intake of meat (<100 grams/week, 101-250 grams/week, >250 grams/week), number of cigarettes smoked per day, smoking duration, and family history of disease among cases and controls were not associated (P > 0.05) with risk of prostate cancer. Most of the prostate cancer patients were at stage IV with a Gleason score ranging from 7-9 and had undergone surgery. This epidemiological study illustrated that age and smoking were potential risk factors for prostate cancer in Pakistani men. Furthermore, phytonutrients can reduce its risk to a greater extent. Prospective studies with detailed analysis and greater sample size are required to explore more accurate findings.
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Genetic variations in UGT2B28, UGT2B17, UGT2B15 genes and the risk of prostate cancer: A case-control study. Gene 2017; 634:47-52. [PMID: 28882566 DOI: 10.1016/j.gene.2017.08.038] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Revised: 07/27/2017] [Accepted: 08/30/2017] [Indexed: 12/17/2022]
Abstract
Glucuronidation is a major pathway for elimination of exogenous and endogenous compounds such as environmental carcinogens and androgens from the body. This biochemical pathway is mediated by enzymes called uridine diphosphoglucuronosyltransferases (UGTs). Null (del/del) genes polymorphisms in UGT2B17, and UGT2B28 and D85Y single-nucleotide polymorphism (SNP) of UGT2B15 have been reported to increase the risk of prostate cancer. The goal of this study was to determine the association of mentioned genetic variants with the risk of prostate cancer. We investigated the copy number variations (CNVs) of UGT2B17 and UGT2B28 loci and the association between rs1902023 polymorphism of UGT2B15 gene in 360 subjects consisted of 120 healthy controls, 120 prostate cancer (PC) patients and 120 benign prostatic hyperplasia (BPH) patients. No association was detected for the mentioned polymorphisms and the risk of PC. However, a significant association was detected between UGT2B17 copy number variation and BPH risk (OR=2.189; 95% CI, 1.303-3.675; p=0.003). Furthermore, we observed that the D85Y polymorphism increases the risk of BPH when analyzed in combination with the copy number variation of UGT2B17 gene (OR=0.135; 95% CI, 0.036-0.512; p=0.003). Our findings suggest that the D85Y polymorphism of UGT2B15 and CNVs in UGT2B28 and UGT2B17 genes is not associated with prostate cancer risk in Iranian patients. To our knowledge, this is the first report that implicates the role of CNV of UGT2B17 gene in BPH.
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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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Shi J, Zhuang Y, Liu Y, Yan CQ, Liu XK, Zhang Y. Systematic analysis on the GSTM1 null phenotype and prostate cancer risk in Chinese people. Asian Pac J Cancer Prev 2015; 16:2009-11. [PMID: 25773803 DOI: 10.7314/apjcp.2015.16.5.2009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE Glutathione S-transferase M 1 (GSTM1) is implicated as a risk factor for prostate cancer. However, this issue is not clear in Chinese population. This systemic analysis was conducted to evaluate the effect of GSTM1 null genotypes on prostate cancer risk in Chinese. METHODS Published studies investigating the associations between GSTM1 null genotypes and the risk of prostate cancer in China were identified by using a predefined search strategy. Main statisticals were pooled and estimated according to the primarily reported data. RESULTS The prevalence of the GSTM1 null genotype was higher in prostate cancer patients than in controls, with significance. CONCLUSION The GSTM1 null genotypes is associated with increased risk of prostate cancer in Chinese.
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Affiliation(s)
- Jing Shi
- Department of Urology, Tangshan Gongren hospital, Hebei Medical University, Tangshan, China E-mail :
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Malik SS, Masood N, Yasmin A. Prostate cancer and glutathione S-transferase deletions. EXCLI JOURNAL 2015; 14:1049-54. [PMID: 26600754 PMCID: PMC4650940 DOI: 10.17179/excli2015-192] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2015] [Accepted: 09/15/2015] [Indexed: 11/24/2022]
Abstract
GSTM1 and GSTT1 gene polymorphisms have been studied in many populations to evaluate their association with prostate cancer risk with contrasting results. The current study was aimed to find out the association of GSTM1 and GSTT1 gene polymorphisms with prostate cancer in Pakistani men. This case control study included pathologically confirmed prostate cancer patients and age matched male controls. Epidemiological data was collected by a standard questionnaire and presence or absence of GSTM1 and GSTT1 gene was observed by multiplex PCR using CYP1A1 as housekeeping gene. Prostate cancer was more prevalent in age of >60 years and most of the patients were at stage IV (70 %) and have undergone surgery. Family history of cancer, smoking, metastasis and surgery were found to be significant (P<0.05) risk factors in prostate cancer development. Gleason score 7 was most prevalent (40.5 %) in prostate cancer patients. Source of drinking water, residential area, occupation, eating habits and number of family members had no association (P>0.05) with prostate cancer risk. No significant association was found when comparing GSTM1 (OR=0.78) and GSTT1 (OR=0.89) gene deletions with prostate cancer risk. Smoking and TNM staging were also not associated with deletion of GSTM1 and GSTT1 genes. Comparison of dual null deletion of both genes with prostate cancer also showed non-significant associations. Deletion of GSTM1 gene at stage IV prostate cancer patients was significantly higher compared with other stages of cancer while no significance was shown by GSTT1 gene deletion. GSTM1, GSTT1 and deletion of both GSTM1 and GSTT1 genes do not contribute towards increased risk of prostate cancer in Pakistani population.
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Affiliation(s)
- Saima Shakil Malik
- Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan, E9, Environmental Sciences Department/ Biotechnology
| | - Nosheen Masood
- Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan, E9, Environmental Sciences Department/ Biotechnology
| | - Azra Yasmin
- Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan, E9, Environmental Sciences Department/ Biotechnology
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Feber A, Guilhamon P, Lechner M, Fenton T, Wilson GA, Thirlwell C, Morris TJ, Flanagan AM, Teschendorff AE, Kelly JD, Beck S. Using high-density DNA methylation arrays to profile copy number alterations. Genome Biol 2014; 15:R30. [PMID: 24490765 PMCID: PMC4054098 DOI: 10.1186/gb-2014-15-2-r30] [Citation(s) in RCA: 100] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2013] [Accepted: 02/03/2014] [Indexed: 12/17/2022] Open
Abstract
The integration of genomic and epigenomic data is an increasingly popular approach for studying the complex mechanisms driving cancer development. We have developed a method for evaluating both methylation and copy number from high-density DNA methylation arrays. Comparing copy number data from Infinium HumanMethylation450 BeadChips and SNP arrays, we demonstrate that Infinium arrays detect copy number alterations with the sensitivity of SNP platforms. These results show that high-density methylation arrays provide a robust and economic platform for detecting copy number and methylation changes in a single experiment. Our method is available in the ChAMP Bioconductor package: http://www.bioconductor.org/packages/2.13/bioc/html/ChAMP.html.
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Affiliation(s)
- Andrew Feber
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
| | - Paul Guilhamon
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
| | - Matthias Lechner
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
| | - Tim Fenton
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
| | - Gareth A Wilson
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
| | - Christina Thirlwell
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
| | - Tiffany J Morris
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
| | - Adrienne M Flanagan
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
- Royal National Orthopaedic Hospital, Stanmore, Brockly Hill, Middlesex HA7 4LP, UK
| | - Andrew E Teschendorff
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
| | - John D Kelly
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
- Division of Surgery and Interventional Science, UCL Medical School, University College London, London WC1E 6BT, UK
| | - Stephan Beck
- UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
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Systematic review and meta-analysis of candidate gene association studies of lower urinary tract symptoms in men. Eur Urol 2014; 66:752-68. [PMID: 24491308 PMCID: PMC4410299 DOI: 10.1016/j.eururo.2014.01.007] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2013] [Accepted: 01/10/2014] [Indexed: 12/15/2022]
Abstract
Context Although family studies have shown that male lower urinary tract symptoms (LUTS) are highly heritable, no systematic review exists of genetic polymorphisms tested for association with LUTS. Objective To systematically review and meta-analyze studies assessing candidate polymorphisms/genes tested for an association with LUTS, and to assess the strength, consistency, and potential for bias among pooled associations. Evidence acquisition A systematic search of the PubMed and HuGE databases as well as abstracts of major urologic meetings was performed through to January 2013. Case-control studies reporting genetic associations in men with LUTS were included. Reviewers independently and in duplicate screened titles, abstracts, and full texts to determine eligibility, abstracted data, and assessed the credibility of pooled associations according to the interim Venice criteria. Authors were contacted for clarifications if needed. Meta-analyses were performed for variants assessed in more than two studies. Evidence synthesis We identified 74 eligible studies containing data on 70 different genes. A total of 35 meta-analyses were performed with statistical significance in five (ACE, ELAC2, GSTM1, TERT, and VDR). The heterogeneity was high in three of these meta-analyses. The rs731236 variant of the vitamin D receptor had a protective effect for LUTS (odds ratio: 0.64; 95% confidence interval, 0.49–0.83) with moderate heterogeneity (I2 = 27.2%). No evidence for publication bias was identified. Limitations include wide-ranging phenotype definitions for LUTS and limited power in most meta-analyses to detect smaller effect sizes. Conclusions Few putative genetic risk variants have been reliably replicated across populations. We found consistent evidence of a reduced risk of LUTS associated with the common rs731236 variant of the vitamin D receptor gene in our meta-analyses. Patient summary Combining the results from all previous studies of genetic variants that may cause urinary symptoms in men, we found significant variants in five genes. Only one, a variant of the vitamin D receptor, was consistently protective across different populations.
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GSTT1 and GSTM1 polymorphisms and prostate cancer risk in Asians: a systematic review and meta-analysis. Tumour Biol 2013; 34:2539-44. [PMID: 23817691 PMCID: PMC3785708 DOI: 10.1007/s13277-013-0778-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Accepted: 03/26/2013] [Indexed: 01/01/2023] Open
Abstract
Glutathione S-transferases (GSTs) enzymes are involved in conjugation of electrophilic compounds to glutathione, and glutathione S-transferase T 1 (GSTT1) and glutathione S-transferase M 1 (GSTM1) polymorphisms have been implicated as risk factors for prostate cancer. We conducted a systematic review and meta-analysis to define the effect of GSTM1 and GSTT1 null genotypes on prostate cancer risk in Asians. We searched the PubMed and Wanfang Medical databases to identify published case-control studies investigating the associations of GSTM1 and GSTT1 null genotypes with risk of prostate cancer in Asians. Heterogeneity was assessed using Cochran's Q statistic and odds ratios (OR) with corresponding 95 % confidence intervals (95 % CI) from individual studies were pooled using fixed or random effects models according to the heterogeneity. There were 18 studies (2,046 cases, 2,876 controls) on GSTM1 polymorphism, 15 studies (1,677 cases, 2,431 controls) on GSTT1 polymorphism, and 6 studies (675 cases, 853 controls) on GSTM1/GSTT1 interaction analysis. Overall, GSTM1 null genotype was significantly associated with increased risk of prostate cancer in Asians (random effects OR 1.80, 95 % CI 1.48-2.18, P < 0.001), and GSTT1 null genotype was also significantly associated with increased risk of prostate cancer in Asians (random effects OR 1.40, 95 % CI 1.10-1.80, P < 0.001). In addition, the GSTM1/GSTT dual null genotype was associated with higher risk of prostate cancer in Asians (random effects OR 2.14, 95 % CI 1.59-2.89, P = 0.007). In conclusion, GSTM1 and GSTT1 null genotypes are associated with increased risk of prostate cancer in Asians, and GSTM1 and GSTT1 null genotypes are risk factors for the development of prostate cancer.
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Association of GSTT1 gene polymorphisms with the risk of prostate cancer: an updating meta-analysis. Tumour Biol 2013; 34:1431-40. [PMID: 23456766 DOI: 10.1007/s13277-012-0640-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2012] [Accepted: 12/19/2012] [Indexed: 10/27/2022] Open
Abstract
It has been demonstrated that the glutathione S-transferase (GST) superfamily helps remove carcinogens from the body and thus might be associated with prostate cancer risk. In recent years, GSTT1 polymorphism has been extensively studied as a potential prostate cancer risk factor; however, the results are inconsistent. To investigate the association between GSTT1 and prostate cancer, we conducted a meta-analysis of 33 studies with 6,697 prostate patients and 7,643 controls. For GSTM1 null versus present genotype, the random effects odds ratio was 0.98 (95 % confidence interval (CI) 0.83-1.16) based on a wide population. Subgroup analyses in the different ethnic groups and different controls were performed. The OR was 1.01 (95 % CI 0.86-1.19) in Caucasians, 1.01 (95 % CI 0.70-1.47) in Asians, and 0.77 (95 % CI 0.42-1.42) in Africans. The OR was 0.98 (95 % CI 0.82-1.16) in non-benign prostate hyperplasia (BPH) controls and 1.09 (95 % CI 0.66-1.79) in BPH controls. In conclusion, our present meta-analysis demonstrates that there is no association between GSTT1 polymorphism and prostate cancer, even in the sub-analysis concerning different races and control sources. The direction of further research should focus not only on the simple relationship of GSTT1 and prostate cancer but also on gene-environment interaction and distinctions of different GSTs.
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Yang Q, Du J, Yao X. Significant association of Glutathione S-transferase T1 null genotype with prostate cancer risk: a meta-analysis of 26,393 subjects. PLoS One 2013; 8:e53700. [PMID: 23365641 PMCID: PMC3554715 DOI: 10.1371/journal.pone.0053700] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2012] [Accepted: 12/03/2012] [Indexed: 01/04/2023] Open
Abstract
Background Recent studies on the association between Glutathione S-transferase T1 (GSTT1) polymorphism and risk of prostate cancer showed inconclusive results. To clarify this possible association, we conducted a meta-analysis of published studies. Methods Data were collected from the following electronic databases: Pubmed, Embase, and Chinese Biomedical Database (CBM). The odds ratio (OR) and its 95% confidence interval (95%CI) was used to assess the strength of the association. We summarized the data on the association between GSTT1 null genotype and risk of prostate cancer in the overall population, and performed subgroup analyses by ethnicity, adjusted ORs, and types of controls. Results Ultimately, a total of 43 studies with a total of 26,393 subjects (9,934 cases and 16,459 controls) were eligible for meta-analysis. Overall, there was a significant association between GSTT1 null genotype and increased risk of prostate cancer (OR = 1.14, 95%CI 1.01–1.29, P = 0.034). Meta-analysis of adjusted ORs also showed a significant association between GSTT1 null genotype and increased risk of prostate cancer (OR = 1.34, 95%CI 1.09–1.64, P = 0.006). Similar results were found in the subgroup analyses by ethnicity and types of controls. Conclusion This meta-analysis demonstrates that GSTT1 null genotype is associated with prostate cancer susceptibility, and GSTT1 null genotype contributes to increased risk of prostate cancer.
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Affiliation(s)
- Qing Yang
- Department of Genitourinary Oncology, Tianjin Medical University Cancer Hospital, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
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Abstract
Background and Objectives The GSTM1, GSTT1 and GSTP1 polymorphisms might be involved in inactivation of procarcinogens that contribute to the genesis and progression of cancers. However, studies investigating the association between GSTM1, GSTT1 or GSTP1 polymorphisms and prostate cancer (PCa) risk report conflicting results, therefore, we conducted a meta-analysis to re-examine the controversy. Methods Published literature from PubMed, Embase, Google Scholar and China National Knowledge Infrastructure (CNKI) were searched (updated to June 2, 2012). According to our inclusion criteria, studies that observed the association between GSTM1, GSTT1 or GSTP1 polymorphisms and PCa risk were included. The principal outcome measure was the odds ratio (OR) with 95% confidence interval (CI) for the risk of PCa associated with GSTM1, GSTT1 and GSTP1 polymorphisms. Results Fifty-seven studies involving 11313 cases and 12934 controls were recruited. The overall OR, which was 1.2854 (95% CI = 1.1405–1.4487), revealed a significant risk of PCa and GSTM1 null genotype, and the similar results were observed when stratified by ethnicity and control source. Further, the more important is that the present study first reported the high risks of PCa for people who with dual null genotype of GSTM1 and GSTT1 (OR = 1.4353, 95% CI = 1.0345–1.9913), or who with GSTT1 null genotype and GSTP1 A131G polymorphism (OR = 1.7335, 95% CI = 1.1067–2.7152). But no association was determined between GSTT1 null genotype (OR = 1.102, 95% CI = 0.9596–1.2655) or GSTP1 A131G polymorphism (OR = 1.0845, 95% CI = 0.96–1.2251) and the PCa risk. Conclusions Our meta-analysis suggested that the people with GSTM1 null genotype, with dual null genotype of GSTM1 and GSTT1, or with GSTT1 null genotype and GSTP1 A131G polymorphism are associated with high risks of PCa, but no association was found between GSTT1 null genotype or GSTP1 A131G polymorphism and the risk of PCa. Further rigorous analytical studies are highly expected to confirm our conclusions and assess gene-environment interactions with PCa risk.
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