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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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Song W, Bian L, Xiong M, Duan Y, Wang Y, Zhang X, Li B, Dai Y, Lu J, Li M, Liu Z, Liu S, Zhang L, Yao H, Shao R, Li G, Li L. Association of genetic polymorphisms with mercapturic acids in the urine of young healthy subjects before and after exposure to outdoor air pollution. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:936-948. [PMID: 35469493 DOI: 10.1080/09603123.2022.2066068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 04/09/2022] [Indexed: 06/14/2023]
Abstract
We aimed to identify the relationship between variations in metabolic genes and human urinary changes in mercapturic acids (MAs), including CEMA, HMPMA, SPMA, HPMA and HEMA, before and after air pollution exposure. Genotype detection for 47 relevant single nucleotide polymorphisms (SNPs) collected by literature research was performed. Five MAs expression levels in the urinary samples of 50 young healthy individuals with short-term exposure to clean, polluted and purified air at five time points were detected by targeted online solid-phase extraction liquid chromatography tandem mass spectrometry (SPE-LC-MS/MS), followed with associations of SNPs with MAs changes. Difference in MAs between polluted and clean/purified air was significantly associated with 21 SNPs mapped into 9 genes. Five SNPs in GSTP1 showed the most prominent association with the changes in SPMA expression, indicating that those SNPs in GSTP1 and SPMA might serve as biomarkers for susceptibility and the prognosis of lung cancer.
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Affiliation(s)
- Wenping Song
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Lingjie Bian
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Mengran Xiong
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Yuanyuan Duan
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Yi Wang
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Xia Zhang
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Biao Li
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Yulong Dai
- Department of Bioinformatics Analysis & Technical Support, Shanghai Lu Ming Biological Technology Co. Ltd, Shanghai, China
| | - Jiawei Lu
- Department of Bioinformatics Analysis & Technical Support, Shanghai Lu Ming Biological Technology Co. Ltd, Shanghai, China
| | - Meng Li
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Zhiguo Liu
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Shigang Liu
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Li Zhang
- Key Laboratory of Antibiotic Bioengineering of National Health and Family Planning Commission (NHFPC), Institute of Medicinal Biotechnology (IMB), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China
| | - Hongjuan Yao
- Key Laboratory of Antibiotic Bioengineering of National Health and Family Planning Commission (NHFPC), Institute of Medicinal Biotechnology (IMB), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China
| | - Rongguang Shao
- Key Laboratory of Antibiotic Bioengineering of National Health and Family Planning Commission (NHFPC), Institute of Medicinal Biotechnology (IMB), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China
| | - Guangxi Li
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Liang Li
- Key Laboratory of Antibiotic Bioengineering of National Health and Family Planning Commission (NHFPC), Institute of Medicinal Biotechnology (IMB), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China
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Xiao J, Wang Y, Wang Z, Zhang Y, Li Y, Xu C, Xiao M, Wang H, Guo S, Jin L, Wang J, Bao Y, Shang Y, Wu J. The relevance analysis of GSTP1 rs1695 and lung cancer in the Chinese Han population. Int J Biol Markers 2021; 36:48-54. [PMID: 34596453 DOI: 10.1177/17246008211039236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND This study explored the relevance between rs1695 and susceptibility to the lung cancer in the Chinese Han population. Stratification analysis was conducted on the basis of age, gender, smoking status, tumor-related family history, and pathological type to observe relations between rs1695 and susceptibility to lung cancer in the subgroups. METHODS A case-control study was performed with 974 lung cancer patients who were pathologically diagnosed and 1005 healthy cases based on physical examination to analyze the association between rs1695 and the risk of lung cancer. RESULTS The frequencies of the AA, GA, and GG genotypes of rs1695 were 68.4%, 28.7%, and 2.9% in cases and 64.8%, 30.8%, and 4.2% in controls, respectively. After adjustment for age, gender, smoking status, and family history, it appears that the rs1695 G allele decreases the risk of lung cancer (OR = 0.811, 95% CI 0.684-0.961, P = 0.016). Moreover, compared with the AA genotype, the GA + GG genotype decreased lung cancer susceptibility (OR = 0.808, 95% CI 0.663-0.985, P = 0.035) and the GG genotype (OR = 0.591, 95% CI 0.347-0.988, P = 0.048). In a stratified analysis, the risk of lung cancer in the G allele carriers decreased among the males, patients without a tumor-related family history, and patients with lung adenocarcinoma, especially in smokers. CONCLUSION The polymorphism of locus rs1695 is related to the risk of lung cancer and is expected to be a target for the prediction of lung cancer.
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Affiliation(s)
- Jiang Xiao
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Yulu Wang
- Department of Emergency, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Zhimin Wang
- Shanghai-MOST key Laboratory of Heath and Disease Genomics, Chinese National Human Genome Center at Shanghai (CHGC) and Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), Shanghai, China
| | - Yao Zhang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Yutao Li
- Ministry of Education Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Chang Xu
- Clinical College of Xiangnan University, Chenzhou, China
| | - Man Xiao
- Department of Biochemistry and Molecular Biology, Hainan Medical University, Haikou, China
| | - Haijian Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Shicheng Guo
- Department of Medical Genetics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Li Jin
- Ministry of Education Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Human Phenome Institute, Fudan University, Shanghai, China
| | - Jiucun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Human Phenome Institute, Fudan University, Shanghai, China
| | - Yang Bao
- Department of Cardiothoracic Surgery, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Yan Shang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China.,Department of General Practice, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Junjie Wu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China.,Ministry of Education Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
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Kim J, Kim H, Lee J, Choi IJ, Kim YI, Kim J. Antioxidant-Rich Diet, GSTP1 rs1871042 Polymorphism, and Gastric Cancer Risk in a Hospital-Based Case-Control Study. Front Oncol 2021; 10:596355. [PMID: 33634021 PMCID: PMC7902036 DOI: 10.3389/fonc.2020.596355] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 12/14/2020] [Indexed: 12/20/2022] Open
Abstract
Background Chronic gastritis along with Helicobacter pylori (H. pylori) infection has been implicated in inflammatory response-related genes linked to the causation of gastric cancer. Glutathione S-transferase Pi (GSTP1) plays a role in regulating oxidative stress and detoxification against carcinogenesis. In this study, we aimed to determine whether an antioxidant-rich diet is associated with gastric cancer risk and identify how this association could be altered by GSTP1 genetic variants. Methods This study included 1,245 participants (415 cases and 830 controls) matched for age and sex. The dietary antioxidant capacity was estimated based on the oxygen radical absorbance capacity (ORAC) incorporated with a semiquantitative food frequency questionnaire. Five single nucleotide polymorphisms (SNPs) of GSTP1 (rs1695, rs749174, rs1871042, rs4891, and rs947895) were selected among the exome array genotype data. Results High dietary ORAC was inversely associated with gastric cancer (hydrophilic ORAC OR T3vs. T1, 95% CI = 0.57, 0.39–0.82, P = 0.004; lipophilic ORAC = 0.66, 0.45–0.95, P = 0.021; total phenolics = 0.57, 0.39–0.83, P = 0.005). The polymorphism rs1871042 increased the risk of gastric cancer (OR, 95% CI = 1.55, 1.10–2.16, P = 0.01, CT+TT vs. CC). A remarkably reduced risk of gastric cancer was observed among those who had a high dietary ORAC according to rs1871042 polymorphism (hydrophilic ORAC OR T3vs. T1, 95% CI = 0.36, 0.17–0.78, P for trend = 0.013; lipophilic ORAC = 0.58, 0.37–0.93, P for trend = 0.021; total phenolics = 0.38, 0.17–0.83, P for trend = 0.019). Conclusions Our findings indicate that dietary ORAC intake may be inversely associated with the risk of gastric cancer altered by genetic variants of GSTP1, providing new intervention strategies for gastric cancer patients.
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Affiliation(s)
- Jimi Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, South Korea
| | - Hyejin Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, South Korea
| | - Jeonghee Lee
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, South Korea
| | - Il Ju Choi
- Center for Gastric Cancer, National Cancer Center Hospital, National Cancer Center, Goyang-si, South Korea
| | - Young-Il Kim
- Center for Gastric Cancer, National Cancer Center Hospital, National Cancer Center, Goyang-si, South Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, South Korea
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Akhtar N, Bansal JG. Risk factors of Lung Cancer in nonsmoker. Curr Probl Cancer 2017; 41:328-339. [PMID: 28823540 DOI: 10.1016/j.currproblcancer.2017.07.002] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 05/12/2017] [Accepted: 07/17/2017] [Indexed: 12/18/2022]
Abstract
Generally, the cause of lung cancer is attributed to tobacco smoking. But many of the new lung cancer cases have been reported in nonsmokers. Apart from smoking; air pollution, environmental exposure, mutations, and single-nucleotide polymorphisms are known to be associated with lung cancer. Improper diet, alcohol consumption, marijuana smoking, estrogen, infections with human papillomavirus (HPV), HIV, and Epstein-Barr virus are suggested to be linked with lung cancer but clear evidences to ascertain their relation is not available. This article provides a comprehensive review of various risk factors and the underlying molecular mechanisms responsible for increasing the incidence of lung cancer. The pathologic, histologic, and genetic differences exist with lung cancer among smokers and nonsmokers. A better understanding of the risk factors, differences in pathology and molecular features of lung cancer in smokers and nonsmokers and the mode of action of various carcinogens will facilitate the prevention and management of lung cancer.
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Affiliation(s)
- Nahid Akhtar
- Department of Bioengineering and Biosciences, Lovely Professional University (LPU), Phagwara, Punjab, India
| | - Jeena Gupta Bansal
- Department of Bioengineering and Biosciences, Lovely Professional University (LPU), Phagwara, Punjab, India.
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Abstract
In first part of this study, a systematic review was designed to explore the involvement of CYP1A1 and GSTP1 genes in breast cancerogenesis. Based on systematic review, we designed a study to screen CYP1A1 and GSTP1 genes for mutation and their possible association with breast carcinogenesis. A total of 400 individuals were collected and analyzed by PCR-SSCP. After sequence analysis of coding region of CYP1A1 we identified eleven mutations in different exons of respective gene. Among these eleven mutations, ~3 folds increased breast cancer risk was found associated with Asp82Glu mutation (OR 2.99; 95% CI 1.26-7.09), with Ser83Thr mutation (OR 2.99; 95% CI 1.26-7.09) and with Glu86Ala mutation (OR 3.18; 95% CI 1.27-7.93) in cancer patients compared to controls. Furthermore, ~4 folds increase in breast cancer risk was found associated with Asp347Glu, Phe398Tyr and 5178delT mutations (OR 3.92; 95% CI 1.35-11.3) in patients compared to controls. The sequence analysis of GSTP1 resulted in identification of total five mutations. Among these five mutations, ~3 folds increase in breast cancer risk was observed associated with 1860G>A mutation, with 1861-1876delCAGCCCTCTGGAGTGG mutation (OR 2.70; 95% CI 1.10-6.62) and with 1861C>A mutation (OR 2.97; 95% CI 1.01-8.45) in cancer patients compared to controls. Furthermore, ~5 folds increase in breast cancer risk was associated with 1883G>T mutation (OR 4.75; 95% CI 1.46-15.3) and ~6 folds increase in breast cancer risk was found associated with Iso105Val mutation (OR 6.43; 95% CI 1.41-29.3) in cancer patients compared to controls. Our finding, based on systematic review and experimental data suggest that the polymorphic CYP1A1 and GSTP1 genes may contribute to risk of developing breast cancer.
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Hollman AL, Tchounwou PB, Huang HC. The Association between Gene-Environment Interactions and Diseases Involving the Human GST Superfamily with SNP Variants. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:379. [PMID: 27043589 PMCID: PMC4847041 DOI: 10.3390/ijerph13040379] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Revised: 03/11/2016] [Accepted: 03/14/2016] [Indexed: 12/25/2022]
Abstract
Exposure to environmental hazards has been associated with diseases in humans. The identification of single nucleotide polymorphisms (SNPs) in human populations exposed to different environmental hazards, is vital for detecting the genetic risks of some important human diseases. Several studies in this field have been conducted on glutathione S-transferases (GSTs), a phase II detoxification superfamily, to investigate its role in the occurrence of diseases. Human GSTs consist of cytosolic and microsomal superfamilies that are further divided into subfamilies. Based on scientific search engines and a review of the literature, we have found a large amount of published articles on human GST super- and subfamilies that have greatly assisted in our efforts to examine their role in health and disease. Because of its polymorphic variations in relation to environmental hazards such as air pollutants, cigarette smoke, pesticides, heavy metals, carcinogens, pharmaceutical drugs, and xenobiotics, GST is considered as a significant biomarker. This review examines the studies on gene-environment interactions related to various diseases with respect to single nucleotide polymorphisms (SNPs) found in the GST superfamily. Overall, it can be concluded that interactions between GST genes and environmental factors play an important role in human diseases.
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Affiliation(s)
- Antoinesha L Hollman
- NIH/NIMHD RCMI Center for Environmental Heath, College of Science, Engineering, and Technology (CSET), Jackson State University, Jackson, MS 39217, USA.
| | - Paul B Tchounwou
- NIH/NIMHD RCMI Center for Environmental Heath, College of Science, Engineering, and Technology (CSET), Jackson State University, Jackson, MS 39217, USA.
- Department of Biology, CSET, Jackson State University, Jackson, MS 39217, USA.
| | - Hung-Chung Huang
- NIH/NIMHD RCMI Center for Environmental Heath, College of Science, Engineering, and Technology (CSET), Jackson State University, Jackson, MS 39217, USA.
- Department of Biology, CSET, Jackson State University, Jackson, MS 39217, USA.
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Wang Y, Ren BU, Zhang L, Guo Z. Correlation between metabolic enzyme GSTP1 polymorphisms and susceptibility to lung cancer. Exp Ther Med 2015; 10:1521-1527. [PMID: 26622518 DOI: 10.3892/etm.2015.2666] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2014] [Accepted: 03/17/2015] [Indexed: 02/06/2023] Open
Abstract
The aim of the present study was to determine the frequency distribution and characteristics of polymorphic alleles and genotypes in glutathione S-transferase π 1 (GSTP1) exon 5, and to explore the correlation between GSTP1 exon 5 polymorphisms and susceptibility to lung cancer using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. Patients were diagnosed with lung cancer from May 2006 to October 2008 by postoperative pathological examination. A total of 150 patients, including 115 males and 35 females, aged 31-76 years (mean, 57.1 years) were enrolled. The control group consisted of 152 healthy volunteers who received physical examination at outpatient clinics. Genomic DNA was extracted from the peripheral venous blood of the 302 subjects, and the GSTP1 genotype was determined by PCR-RFLP and restricted enzyme digestion of PCR products. GSTP1 polymorphisms were analyzed in the 302 subjects. The C and G allele frequencies of GSTP1 in the control and lung cancer groups showed no significant difference (P=0.135); the frequencies of three different genotypes, A/A, A/G and G/G, of GSTP1 in the control and lung cancer groups exhibited no significant differences between the two groups (P=0.223). GSTP1 genotype frequencies in the study population fitted the Hardy-Weinberg equilibrium, demonstrating that the genotype results of this study conform to this genetic law. Overall, 50.7% of the subjects in the lung cancer group carried the non-A/A genotype of GSTP1, which was higher than the 43.4% of the control group. The risk of lung cancer in subjects with the non-A/A genotype was 1.43-fold higher than that in those with the A/A genotype, but no statistical significance was found (P=0.138). GSTP1 exon 5 polymorphisms were demonstrated to be associated with lung cancer susceptibility on the whole. However, stratified analysis suggested the correlation of GSTP1 exon 5 polymorphisms with lung squamous cell carcinoma risk, and that exon 5 polymorphisms might increase the risk of lung squamous cell carcinoma. Exon 5 GSTP1 polymorphisms were not found to be a strong influencing factor in lung cancer risk, but may play a certain role.
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Affiliation(s)
- Yufei Wang
- Department of Thoracic Surgery, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010059, P.R. China
| | - B U Ren
- Department of Thoracic Surgery, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010059, P.R. China
| | - Lei Zhang
- Department of Thoracic Surgery, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010059, P.R. China
| | - Zhanlin Guo
- Department of Thoracic Surgery, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia 010059, P.R. China
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