| Literature DB >> 24819391 |
Li Shen1, Zhihua Yin1, Wei Wu1, Yangwu Ren1, Xuelian Li1, Baosen Zhou1.
Abstract
BACKGROUND: The ataxia-telangiectasia mutated (ATM) gene plays an important role in the DNA double-strand breaks repair pathway. Single nucleotide polymorphisms (SNPs) of DNA repair genes are suspected to influence the risk of lung cancer. This study aimed to investigate the association between the ATM -111G>A (rs189037) polymorphism, environmental risk factors and the risk of lung adenocarcinoma in Chinese female non-smokers.Entities:
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Year: 2014 PMID: 24819391 PMCID: PMC4018408 DOI: 10.1371/journal.pone.0096911
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of lung cancer cases and controls.
| Variables | Cases(%) | Controls(%) |
|
| Female | 487 | 516 | |
| Mean age (years) | 56.5±11.7 | 56.3±12.5 | 0.248 |
| Income (yuan/month) | 628.9±419.3 | 563.5±387.6 | 0.084 |
| Never smoker | 487 | 516 | |
| Histological type | |||
| NSCLC | 434(89.1) | ||
| Adenocarcinoma | 320(65.7) | ||
| Squamous cell carcinoma | 73(15.0) | ||
| Small cell carcinoma | 53(10.9) | ||
| Other | 41(8.4) |
Student's t-test was used to compare the frequency distributions of demographic variables between the cases and controls.
Distribution of ATM rs189037 genotypes and ORs for lung cancer cases and controls.
| Genotype | Cases(%) | Controls(%) | OR | 95%CI |
|
| overall (n = 487) | |||||
| GG | 148(30.4) | 152(29.5) | ref | ||
| GA | 240(49.3) | 272(52.7) | 0.91 | 0.68–1.20 | 0.494 |
| AA | 99(20.3) | 92(17.8) | 1.11 | 0.77–1.59 | 0.590 |
| dominant model | 0.96 | 0.73–1.25 | 0.742 | ||
| recessive model | 1.18 | 0.86–1.61 | 0.313 | ||
| NSCLC (n = 434) | |||||
| GG | 129(29.7) | 152(29.5) | ref | ||
| GA | 213(49.1) | 272(52.7) | 0.92 | 0.68–1.24 | 0.573 |
| AA | 92(21.2) | 92(17.8) | 1.18 | 0.81–1.71 | 0.397 |
| dominant model | 0.98 | 0.74–1.30 | 0.906 | ||
| recessive model | 1.24 | 0.90–1.71 | 0.192 | ||
| Adenocarcinoma (n = 320) | |||||
| GG | 94(29.4) | 152(29.5) | ref | ||
| GA | 150(46.9) | 272(52.7) | 0.89 | 0.64–1.23 | 0.485 |
| AA | 76(23.7) | 92(17.8) | 1.33 | 0.90–1.99 | 0.156 |
| dominant model | 1.00 | 0.74–1.36 | 0.987 | ||
| recessive model | 1.44 | 1.02–2.02 | 0.039 | ||
| Squamous cell carcinoma (n = 73) | |||||
| GG | 24(32.9) | 152(29.5) | ref | ||
| GA | 39(53.4) | 272(52.7) | 0.90 | 0.52–1.56 | 0.706 |
| AA | 10(13.7) | 92(17.8) | 0.69 | 0.32–1.51 | 0.355 |
| dominant model | 0.85 | 0.50–1.43 | 0.537 | ||
| recessive model | 0.74 | 0.37–1.50 | 0.400 |
*P<0.05.
GA+AA vs GG.
AA vs GA+GG.
adjusted for age and data were calculated by unconditional logistic regression.
Basic demographic data and environmental risk factor in lung adenocarcinoma cases and controls.
| Variable | Cases(%) | Controls(%) |
|
| Female | 242 | 277 | |
| Mean age (±S.D.) | 55.7±11.6 | 56.6±11.0 | 0.346 |
| Income(yuan/month) | 626.5±384.0 | 558.1±391.4 | 0.066 |
| Education | |||
| Never | 26(10.7) | 26(9.4) | 0.305 |
| Elementary school | 111(45.9) | 141(50.9) | |
| Junior school | 76(31.4) | 69(24.9) | |
| Senior school and upwards | 29(12.0) | 41(14.8) | |
| Fuel smoke exposure | 66(27.3) | 76(27.4) | 0.967 |
| Cooking oil fume exposure | 86(35.5) | 70(25.3) | 0.011b
|
| Family history of cancer | 26(10.7) | 30(10.8) | 0.975 |
| Passive smoking exposure | 141(58.3) | 158(57.0) | 0.778 |
*P<0.05.
Student's t-test was used to compare the frequency distribution of demographic variables between the cases and controls.
Peason's chi square was used to compare the frequency distribution of demographic variables, fuel smoke exposure, cooking oil fume exposure, family history of cancer, passive smoking between the cases and controls.
Overall association, stratification analysis and combined analysis between ATM rs189037 polymorphism and lung adenocarcinoma risk.
| Comparison model | Genotype | OR | 95%CI |
|
| Overall | ||||
| GG | ref | |||
| GA | 0.89 | 0.59–1.35 | 0.592 | |
| AA | 1.57 | 0.93–2.62 | 0.089 | |
| dominant model | 1.05 | 0.70–1.55 | 0.825 | |
| recessive model | 1.69 | 1.09–2.61 | 0.019 | |
| Stratified by cooking oil fuel exposure | ||||
| Yes | GG | ref | ||
| GA | 0.72 | 0.34–1.54 | 0.395 | |
| AA | 1.19 | 0.43–3.24 | 0.740 | |
| dominant model | 0.81 | 0.39–1.68 | 0.573 | |
| recessive model | 1.48 | 0.62–3.52 | 0.381 | |
| No | GG | ref | ||
| GA | 0.94 | 0.57–1.56 | 0.811 | |
| AA | 1.89 | 1.03–3.49 | 0.040 | |
| dominant model | 1.16 | 0.72–1.87 | 0.542 | |
| recessive model | 1.97 | 1.18–3.29 | 0.009 | |
| Cooking oil fumes exposure-genotype combined analysis | ||||
| non-exposed | GG | ref | ||
| non-exposed | GA | 0.91 | 0.55–1.50 | 0.714 |
| non-exposed | AA | 1.71 | 0.94–3.09 | 0.078 |
| exposed | GG | 1.99 | 0.96–4.12 | 0.063 |
| exposed | GA | 1.58 | 0.88–2.82 | 0.127 |
| exposed | AA | 2.07 | 0.87–4.93 | 0.099 |
*P<0.05.
GA+AA vs GG.
AA vs GA+GG.
the overall test was adjusted for age, fuel smoke exposure, cooking oil fume exposure, family history of cancer and passive smoking and the stratified analysis was adjusted for age, fuel smoke exposure, family history of cancer and passive smoking.
Comparisons of distribution of risk factors between cooking oil fumes exposed group and non-exposed group.
| Variable | Exposed(%) | Non-exposed(%) |
|
| Mean age (±S.D.) | 56.3±11.7 | 56.1±11.1 | 0.871 |
| Fuel smoke exposure | 44(28.2%) | 98(27.0%) | 0.777 |
| Passive smoking exposure | 96(61.5%) | 203(55.9%) | 0.235 |
| Family history of cancer | 19(12.2%) | 37(10.2%) | 0.504 |
Student's t-test was used to compare the frequency distribution of demographic variables between the exposed group and non-exposed group.
Peason's chi square was used to compare the frequency distribution of demographic variables, fuel smoke exposure, family history of cancer, passive smoking between the exposed group and non-exposed group.