1.Study on the association between smoking behavior and dopamine receptor D2 gene polymorphisms among lung cancer cases.
Jun QI ; Wen TAN ; Deyin XING ; Xiaoping MIAO ; Dongxin LIN
Chinese Journal of Epidemiology 2002;23(5):370-373
OBJECTIVETo investigate the possible association between dopamine D2 receptor (DRD2) TaqI A and TaqI B genotypes as well as smoking behavior and the risk of lung cancer among Chinese Han people.
METHODSPCR was used to perform genotyping on peripheral WBC DNA from 326 lung cancer patients and 326 age, sex and ethnicity-matched healthy controls. Subjects were interviewed to obtain relevant information and lifetime history of tobacco use.
RESULTSThere were no statistically significant differences in the distribution of DRD2 genotypes between lung cancer cases and controls. The DRD2 genotypes and smoking status showed no correlation among cases and among controls as well. However, among controls, the frequency of the DRD2 * A2/A2 genotype in smokers who smoked > or = 25 cigarettes/day appeared to be higher than that in those who smoked < 25 cigarettes/day (42.5% versus 26.1%, P = 0.047). A similar trend was also found for the DRD2 * B2/B2 genotype, which was linked to the DRD2 * A2/A2 genotype, although the difference was not significant (40.0% versus 26.1%, P = 0.091). In contrast to controls, no association was found between the DRD2 genotypes and smoking among lung cancer cases.
CONCLUSIONOur results suggested that DRD2 * A2/A2 genotype might be associated with a greater smoking intensity in Chinese. Further studies are needed to confirm this preliminary finding.
Aged ; Female ; Humans ; Lung Neoplasms ; etiology ; genetics ; Male ; Middle Aged ; Polymorphism, Genetic ; Receptors, Dopamine D2 ; genetics ; Smoking ; adverse effects
2.Regulatory mechanism of activator protein-1 on the expression of MUC5AC induced by cigarette smoke extract.
Journal of Central South University(Medical Sciences) 2010;35(11):1150-1155
OBJECTIVE:
To investigate the mechanism of activator protein-1 (AP-1) on cigarette smoke-induced airway mucous hypersecretion and to explore the possible signal transduction pathway that activates AP-1.
METHODS:
The airway epithelial cell line (BEAS-2B) was cultured in vivo and treated with cigarette smoke extract (CSE). The DNA binding activity of AP-1 was blocked by the transfection of c-Jun dominant negative mutant TAM67 into the cells. SP600125 and PD98059 were used to block the activation of c-Jun terminal kinase (JNK) and extracellular signal-regulated kinase (ERK) respectively. MUC5AC protein was detected by enzyme-linked immunosorbent assay, MUC5AC mRNA level was analyzed by RT-PCR, while the protein contents of p-JNK, p-ERK and p-P38 were detected by Western blot, and the DNA binding activity of AP-1 was determined by electrophoretic mobility shift assay.
RESULTS:
The MUC5AC protein production and mRNA expression in the CSE group were significantly higher than those in the control group, and the DNA binding activity of AP-1 was also higher than that in the control group (P<0.01). The protein contents of p-ERK and p-JNK in the CSE group were higher than those in the control group (P<0.01), but the p-P38 level was not significantly different from that in the control group (P>0.05). After the transfection of TAM67 into the cells, the expression levels of MUC5AC protein and mRNA and the binding activity of AP-1 decreased significantly (P<0.01). The DNA binding activity of AP-1 and the expression levels of MUC5AC protein and mRNA were lower in the SP600125 group and in the PD98059 group than those in the CSE group (P<0.05).
CONCLUSION
After being activated by JNK and ERK which are phosphorylated by cigarette smoke, AP-1 binds to its DNA binding elements on the promoter of MUC5AC gene and up-regulates the MUC5AC expression at the transcriptional level.
Bronchi
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cytology
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Cells, Cultured
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Epithelial Cells
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cytology
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metabolism
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Humans
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Mucin 5AC
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genetics
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metabolism
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Smoke
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adverse effects
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Smoking
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adverse effects
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Tobacco
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chemistry
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Transcription Factor AP-1
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pharmacology
3.Impact of smoking status and pathologic type on epidermal growth factor receptor mutations in lung cancer.
Yi-Sheng HUANG ; Jin-Ji YANG ; Xu-Chao ZHANG ; Xue-Ning YANG ; Yu-Juan HUANG ; Chong-Rui XU ; Qing ZHOU ; Zhen WANG ; Jian SU ; Yi-Long WU
Chinese Medical Journal 2011;124(16):2457-2460
BACKGROUNDEpidermal growth factor receptor (EGFR) mutations in lung carcinomas can make the disease more responsive to the treatment with tyrosine kinase inhibitors. We aimed to evaluate the prevalence of EGFR mutations in a large series of lung carcinomas.
METHODSWe examined 1195 consecutive lung cancer patients for EGFR mutations in exons 18, 19, and 21 using direct sequencing of polymerase chain reaction products. A detailed smoking history was obtained. Patients were categorized as never smokers (< 100 lifetime cigarettes), former smokers (quit > 1 year ago), or current smokers (quit < 1 year ago).
RESULTSThere were EGFR mutations in 9 (4.5%) of 201 squamous carcinomas, in 1 (2%) of 50 large cell carcinomas, and in 1 (2.3%) of 44 small cell carcinomas that were investigated. Three hundred and twenty-seven mutations were found in the series of 858 adenocarcinomas (38.1%). Among 858 lung adenocarcinomas, we detected EGFR mutations in 250 (48.6%) of 514 never smokers, 39 (33.9%) of 115 former smokers, and 38 (16.6%) of 229 current smokers. Significantly fewer EGFR mutations were found in people who smoked for more than 15 pack-years (P = 0.0002) or stopped smoking less than 15 years ago (P = 0.033) compared with individuals who never smoked.
CONCLUSIONSAdenocarcinoma is the most frequent EGFR mutation pathologic type in lung cancer. The likelihood of EGFR mutations in exons 18, 19 and 21 decreases as the number of pack-years increases. Mutations were less common in people who smoked for more than 15 pack-years or who stopped smoking cigarettes less than 15 years ago. These data can assist clinicians in assessing the likelihood of exons 18, 19, or 21 EGFR mutations in Chinese patients with lung cancer when mutational analysis is not feasible.
Adenocarcinoma ; genetics ; DNA Mutational Analysis ; Exons ; genetics ; Female ; Humans ; Lung Neoplasms ; genetics ; Male ; Mutation ; Polymerase Chain Reaction ; Receptor, Epidermal Growth Factor ; genetics ; Smoking ; adverse effects
4.Association of nicotinic acetylcholine receptor subunit alpha-4 polymorphisms with smoking behaviors in Chinese male smokers.
Cheng-Jing CHU ; Yan-Chun YANG ; Jin-Xue WEI ; Lan ZHANG
Chinese Medical Journal 2011;124(11):1634-1638
BACKGROUNDIt has been reported that the nicotinic acetylcholine receptor subunit α4 gene (CHRNA4) might be associated with smoking behaviors in the previous studies. Up to now, there are few reports on the relationship between CHRNA4 and smoking initiation. In this study, we tried to explore the role of two polymorphisms in CHRNA4 (rs1044396 and rs1044397) in smoking initiation and nicotine dependence in Chinese male smokers.
METHODSNine hundred and sixty-six Chinese male lifetime nonsmokers and smokers were assessed by the Fagerström test for nicotine dependence (FTND), smoking quantity (SQ) and the heaviness of smoking index (HSI). All subjects were divided into four groups based on their tobacco use history and the FTND scores. The polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was performed to find two polymorphisms of CHRNA4 in these subjects.
RESULTSThe χ(2) test showed that rs1044396 was significantly associated with smoking initiation (χ(2) = 4.65, P = 0.031), while both rs1044396 and rs1044397 were significantly associated with nicotine dependence (χ(2) = 5.42, P = 0.020; χ(2) = 7.58, P = 0.005). Furthermore, the T-G (3.9%) haplotype of rs1044396-rs1044397 showed significant association with smoking initiation (χ(2) = 6.30, P = 0.012) and the C-G haplotype (58.9%) remained positive association with nicotine dependence (χ(2) = 8.64, P = 0.003) after Bonferroni correction. The C-G haplotype also significantly increased the HSI (P = 0.002) and FTND scores (P = 0.001) after Bonferroni correction.
CONCLUSIONThese findings suggest that CHRNA4 may be associated with smoking initiation and the C-G haplotype of rs1044396-rs1044397 might increase the vulnerability to nicotine dependence in Chinese male smokers.
Adult ; Aged ; Asian Continental Ancestry Group ; genetics ; Genetic Predisposition to Disease ; genetics ; Humans ; Male ; Middle Aged ; Polymorphism, Genetic ; genetics ; Receptors, Nicotinic ; genetics ; Smoking ; adverse effects
5.Risk factors of lung cancer in Tianjin.
Ke-xin CHEN ; Wei-li XU ; Zhen-lin JIA ; Man YU ; Qing-sheng WANG ; Shu-fen DONG ; Ji-fang WANG
Chinese Journal of Oncology 2003;25(6):575-580
OBJECTIVETo investigate the risk factors of lung cancer in Tianjin and to provide evidence for further monitor there of.
METHODSA case-control study involving interviews with 193 new cases and 259 controls aged 30 - 76 years was carried out. Structured questionnaires were used to collect information on general condition, living environment, living style, disease and family history, etc. Logistic regression model univariate and multivariate analysis were used to pick out the significant lung cancer risk factors.
RESULTSBy monovariate analysis, risk factors such as smoking, passive smoking, drinking, history of malignancy in family and occupation were found. By multivariate analysis, smoking, passive smoking, higher body mass index (BMI) and average income and living space per capita ten years earlier were ascertained, their operations research (OR) values were 3.302, 1.193, 1.003, 1.067 and 0.913.
CONCLUSIONSmoking and passive smoking are independent risk factors of lung cancer. Monthly income per person and living space per person 10 years earlier are associated with elevated risk of lung cancer. Higher body mass index has protective effects on lung cancer risk.
Adult ; Aged ; Humans ; Logistic Models ; Lung Neoplasms ; etiology ; genetics ; Middle Aged ; Occupations ; Risk Factors ; Smoking ; adverse effects
6.Impact of cigarette smoking on human sperm DNA integrity.
Zhi-Hong NIU ; Jian-Bing LIU ; Ting-Yan SHI ; Yao YUAN ; Hui-Juan SHI
National Journal of Andrology 2010;16(4):300-304
OBJECTIVETo investigate the influence of cigarette smoking on human sperm DNA integrity.
METHODSTotally, 784 cases of male infertility were selected from our case database and grouped according to whether they were smokers or nonsmokers, how much they smoked (< or = 10, 11-19 and > or = 20 cigarettes/d) and how long they smoked (< or = 5, 6-9 and > or = 10 yr). Sperm DNA integrity was measured using sperm chromatin structure assay (SCSA) and flow cytometry. DNA fragmentation and immature spermatozoa were expressed by the DNA fragmentation index (DFI) and high DNA stainability (HDS) respectively. Conventional sperm parameters and sperm DNA integrity were compared among different groups.
RESULTSThe total semen volume and percentage of grade a + b sperm were lower and the sperm morphological abnormality was higher in the > or = 20 cigarettes/d and > or = 10 yr groups than in the others (P < 0.05). DFI and HDS were significantly higher in the smokers than in the nonsmokers (P < 0.05). HDS was negatively correlated with the percentage of grade a + b sperm (r = -0.18, P < 0.05) and both DFI and HDS were positively correlated with the rate of sperm malformation (r = 0.31 and r = 0.39, P < 0.05).
CONCLUSIONSmoking more than 20 cigarettes a day or longer than 10 years has deleterious effects on the semen volume, percentage of grade a + b sperm and sperm morphology of the smokers. Cigarette smoking decreases sperm DNA integrity and nuclear maturation.
Adult ; DNA Damage ; drug effects ; DNA Fragmentation ; Humans ; Infertility, Male ; genetics ; Male ; Middle Aged ; Smoking ; adverse effects ; Sperm Count ; Sperm Motility ; Spermatozoa ; drug effects ; Young Adult
7.Meta-analysis on the relationship between tobacco smoking, alcohol drinking and p53 alteration in cases with esophageal carcinoma.
Bo WANG ; Yan ZHANG ; De-zhong XU ; An-hui WANG ; Lei ZHANG ; Chang-sheng SUN ; Liang-shou LI
Chinese Journal of Epidemiology 2004;25(9):775-778
OBJECTIVETo investigate the relationship between tobacco smoking, drinking and p53 alteration in esophageal carcinoma.
METHODSLiterature on the relationship between p53 alteration in esophageal carcinoma and tobacco smoking, drinking through Meta-analysis were reviewed.
RESULTSIn 14 selected papers related to tobacco smoking, pooled odds ratio (OR) of tobacco smoking with P53 overexpression and p53 alteration were 1.99 (95% CI: 1.30- 3.06) and 1.64 (95% CI: 1.13 - 2.37), respectively (P < 0.05). Pooled OR of tobacco smoking with p53 mutation was 1.11 (95% CI: 0.47 - 2.76) (P > 0.05). In 11 selected papers on alcohol drinking, pooled OR of drinking with P53 overexpression, p53 mutation and p53 alteration were 1.30 (95% CI: 0.83 - 2.04), 1.13 (95% CI: 0.67 - 1.90) and 1.22 (95% CI: 0.87 - 1.72) respectively (P > 0.05).
CONCLUSIONThere were significant relations between tobacco smoking and p53 alteration while there were no significant relations between alcohol drinking and p53 alteration.
Alcohol Drinking ; Esophageal Neoplasms ; etiology ; genetics ; Female ; Genes, p53 ; genetics ; Humans ; Male ; Mutation ; Risk Factors ; Smoking ; adverse effects ; Tumor Suppressor Protein p53 ; biosynthesis ; genetics
8.Meta-analysis on glutathione S-transferase M1 polymorphisms and the risk of esophageal cancer.
Chinese Journal of Epidemiology 2004;25(10):898-901
OBJECTIVETo study the association of genetic polymorphism of glutathione S-transferase M1 (GSTM1) and its susceptibility to esophageal cancer.
METHODSOdds ratio was employed to evaluate the risk of esophageal cancer and GSTM1 status. To take into account the possibility of heterogeneity across the studies, a statistical test for heterogeneity across the studies was performed. Both fixed and random effect Meta-analysis models were used. Publication bias was evaluated by funnel plot.
RESULTSA total of 1190 cases and 1964 controls from 11 studies was included. The pooled OR (with 95% CI) was 1.197 (0.846 - 1.692). Of 11 studies, 5 studies were stratified by smoking. In smoking groups, the pooled OR was 1.523 (1.099 - 2.109) while in non-smoking groups, the pooled OR was 0.933 (0.469 - 1.692).
CONCLUSIONOur results through Meta-analysis did not support the association between GSTM1 null genotype and esophageal cancer, but the smokers carring the GSTM1 null genotype might be associated with the increased risk of esophageal cancer.
Case-Control Studies ; Esophageal Neoplasms ; enzymology ; genetics ; Female ; Genetic Predisposition to Disease ; genetics ; Genotype ; Glutathione Transferase ; biosynthesis ; genetics ; Humans ; Male ; Odds Ratio ; Polymorphism, Genetic ; Risk Factors ; Smoking ; adverse effects
9.Study on the risk factors and its interaction on Parkinson disease.
Xian-Hua TAN ; Shu-Mei WANG ; Nan-Qing XUE ; Wen-Tao TENG ; Yue-Qiu FENG
Chinese Journal of Epidemiology 2004;25(6):527-530
OBJECTIVETo explore the risk factors of Parkinson disease (PD), interaction between family history of PD and other risk factors, as well as the relative strength of genetic factors over the vulnerability of PD.
METHODSOne 1:1 matched case-control study including 157 pairs of cases and controls was conducted in Qilu Hospital of Shandong University.
RESULTSConditional logistic regression analysis showed that family history of PD, mental labor, insecticide, alcohol drinking and history of depression all had positive relationship, while smoking had a negative relationship with PD. The AP (AB)s of family history of PD and insecticide, alcohol drinking, history of depression were 55.2%, 34.0%, 41.4% and the RERIs were 8.96, 3.31, 7.85 respectively. The heritability of PD patients' first degree relatives was 36.86% +/- 5.76%, and second degree relatives was 20.66% +/- 6.81%.
CONCLUSIONFamily history of PD had an additive model synergism on PD, coexisting with other risk factors. Genetic factors had a smaller action on PD than environmental factors.
Adult ; Alcohol Drinking ; adverse effects ; Case-Control Studies ; Confidence Intervals ; Family Health ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Parkinson Disease ; etiology ; genetics ; Pedigree ; Pesticides ; adverse effects ; Proportional Hazards Models ; Risk Factors ; Smoking ; adverse effects ; Surveys and Questionnaires
10.Case control study on the risk factors of primary open angle glaucoma in China.
Ning WANG ; Zhipei PENG ; Baojian FAN ; Yao LIU ; Xiaomei DONG ; Xuhui LIANG ; Jie LUAN
Chinese Journal of Epidemiology 2002;23(4):293-296
OBJECTIVEThe purpose of this study is to comprehensively explore the risk factors of primary open angle glaucoma (POAG) in China.
METHODSTwo groups of data based on distinct resources were analyzed to explore the risk factors of POAG. One group of data was based on hospital records between 1995 and 2000 which composed of 107 patients with POAG and 149 controls without POAG. The other group of data was based on 40 patients with POAG and 120 matched controls without POAG. The former was designed by non-matched case control study, the latter was done by 1:3 matched case control study. The relationships between POAG and the factors such as age, sex, family history, diabetes, hypertension, intraocular pressure (IOP), cardiovascular diseases, smoking, drinking and mutation of TIGR gene were studied by logistic regression analysis.
RESULTSThe simple factor analysis showed that the risk of POAG was related to age, family history, hypertension, IOP, cardiovascular diseases, smoking, drinking and the mutation of TIGR gene (T353I). However, logistic regression analysis confirmed that POAG mainly related to IOP, family history, hypertension, smoking, alcohol intake and the mutation of TIGR gene.
CONCLUSIONThe most important risk factor of POAG was IOP. Family history, hypertension, smoking and the mutation of TIGR gene were also important risk factors of POAG. However, alcohol intake was a protective factor for POAG.
Adolescent ; Adult ; Age Factors ; Aged ; Alcohol Drinking ; adverse effects ; Case-Control Studies ; China ; epidemiology ; Cytoskeletal Proteins ; Eye Proteins ; genetics ; Female ; Glaucoma, Open-Angle ; epidemiology ; genetics ; Glycoproteins ; genetics ; Humans ; Male ; Middle Aged ; Risk Factors ; Smoking ; adverse effects