Angela S. Wenzlaff

Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD

Recently, genetic association findings for nicotine dependence, smoking behavior, and smoking-related diseases converged to implicate the chromosome 15q25.1 region, which includes the CHRNA5-CHRNA3-CHRNB4 cholinergic nicotinic receptor subunit genes. In particular, association with the nonsynonymous CHRNA5 SNP rs16969968 and correlates has been replicated in several independent studies. Extensive genotyping of this region has suggested additional statistically distinct signals for nicotine dependence, tagged by rs578776 and rs588765. One goal of the Consortium for the Genetic Analysis of Smoking Phenotypes (CGASP) is to elucidate the associations among these markers and dichotomous smoking quantity (heavy versus light smoking), lung cancer, and chronic obstructive pulmonary disease (COPD). We performed a meta-analysis across 34 datasets of European-ancestry subjects, including 38,617 smokers who were assessed for cigarettes-per-day, 7,700 lung cancer cases and 5,914 lung-cancer-free controls (all smokers), and 2,614 COPD cases and 3,568 COPD-free controls (all smokers). We demonstrate statistically independent associations of rs16969968 and rs588765 with smoking (mutually adjusted p-values<10−35 and <10−8 respectively). Because the risk alleles at these loci are negatively correlated, their association with smoking is stronger in the joint model than when each SNP is analyzed alone. Rs578776 also demonstrates association with smoking after adjustment for rs16969968 (p<10−6). In models adjusting for cigarettes-per-day, we confirm the association between rs16969968 and lung cancer (p<10−20) and observe a nominally significant association with COPD (p = 0.01); the other loci are not significantly associated with either lung cancer or COPD after adjusting for rs16969968. This study provides strong evidence that multiple statistically distinct loci in this region affect smoking behavior. This study is also the first report of association between rs588765 (and correlates) and smoking that achieves genome-wide significance; these SNPs have previously been associated with mRNA levels of CHRNA5 in brain and lung tissue.

Reproductive Factors, Hormone Use, Estrogen Receptor Expression and Risk of Non Small-Cell Lung Cancer in Women

PURPOSE Estrogen receptor (ER) expression in lung tumors suggests that estrogens may play a role in the development of lung cancer. We evaluated the role of hormone-related factors in determining risk of non-small-cell lung cancer (NSCLC) in women. We also evaluated whether risk factors were differentially associated with cytoplasmic ER-alpha and/or nuclear ER-beta expression-defined NSCLC in postmenopausal women. PATIENTS AND METHODS Population-based participants included women aged 18 to 74 years diagnosed with NSCLC in metropolitan Detroit between November 1, 2001 and October 31, 2005. Population-based controls were identified through random digit dialing, matched to patient cases on race and 5-year age group. Interview data were analyzed for 488 patient cases (241 with tumor ER results) and 498 controls. RESULTS Increased duration of hormone replacement therapy (HRT) use in quartiles was associated with decreased risk of NSCLC in postmenopausal women (odds ratio = 0.88; 95% CI, 0.78 to 1.00; P = .04), adjusting for age, race, pack-years, education, family history of lung cancer, current body mass index, years exposed to second-hand smoke in the workplace, and obstructive lung disease history. Among postmenopausal women, ever using HRT, increasing HRT duration of use in quartiles, and increasing quartiles of estrogen use were significant predictors of reduced risk of NSCLC characterized as ER-alpha and/or ER-beta positive. None of the hormone-related variables were associated with nuclear ER-alpha- or ER-beta-negative NSCLC. CONCLUSION These findings suggest that postmenopausal hormone exposures are associated with reduced risk of ER-alpha- and ER-beta-expressing NSCLC. Understanding tumor characteristics may direct development of targeted treatment for this disease.

Tobacco and estrogen metabolic polymorphisms and risk of non-small cell lung cancer in women

To explore the potential role for estrogen in lung cancer susceptibility, candidate single-nucleotide polymorphism (SNPs) in tobacco and estrogen metabolism genes were evaluated. Population-based cases (n = 504) included women aged 18-74, diagnosed with NSCLC in metropolitan Detroit between November 2001 and October 2005. Population-based controls (n = 527) were identified through random digit dialing and matched on race and age. Eleven SNPs in 10 different genes were examined in relation to risk: CYP1A1 Msp1, CYP1A1 Ile462Val, CYP1B1 Leu432Val, CYP17, CYP19A1, XRCC1 Gln399Arg, COMT Val158Met, NQO1 Pro187Ser, GSTM1, GSTT1 and GSTP1 Ile105Val. Lung cancer risk associated with individual SNPs was seen for GSTP1 [A allele; odds ratio (OR) = 1.85; 95% confidence interval (CI), 1.04-3.27] and XRCC1 (A/A genotype; OR = 1.68; 95% CI, 1.01-2.79) in white women and CYP1B1 (G allele; OR = 11.1; 95% CI, 1.18-104) in black women smokers. White women smokers carrying two risk genotypes at the following loci were at increased risk of lung cancer compared with individuals not carrying risk alleles at these loci: CYP17 and GSTM1, COMT and GSTM1, CYP17 and GSTT1, XRCC1 and GSTP1, CYP1B1 and XRCC1 and COMT and XRCC1. The most parsimonious model of lung cancer risk in white smoking women included age, family history of lung cancer, history of chronic lung disease, pack-years, body mass index, XRCC1 A/A genotype, GSTM1 null and COMT A/G or G/G genotype. These findings support the need for continued study of estrogen in relation to lung cancer risk. Polymorphisms in the tobacco metabolism, estrogen metabolism and DNA repair pathways will be useful in developing more predictive models of individual risk.

Development and validation of a lung cancer risk prediction model for African-Americans.

Because existing risk prediction models for lung cancer were developed in white populations, they may not be appropriate for predicting risk among African-Americans. Therefore, a need exists to construct and validate a risk prediction model for lung cancer that is specific to African-Americans. We analyzed data from 491 African-Americans with lung cancer and 497 matched African-American controls to identify specific risks and incorporate them into a multivariable risk model for lung cancer and estimate the 5-year absolute risk of lung cancer. We performed internal and external validations of the risk model using data on additional cases and controls from the same ongoing multiracial/ethnic lung cancer case-control study from which the model-building data were obtained as well as data from two different lung cancer studies in metropolitan Detroit, respectively. We also compared our African-American model with our previously developed risk prediction model for whites. The final risk model included smoking-related variables [smoking status, pack-years smoked, age at smoking cessation (former smokers), and number of years since smoking cessation (former smokers)], self-reported physician diagnoses of chronic obstructive pulmonary disease or hay fever, and exposures to asbestos or wood dusts. Our risk prediction model for African-Americans exhibited good discrimination [75% (95% confidence interval, 0.67–0.82)] for our internal data and moderate discrimination [63% (95% confidence interval, 0.57–0.69)] for the external data group, which is an improvement over the Spitz model for white subjects. Existing lung cancer prediction models may not be appropriate for predicting risk for African-Americans because (a) they were developed using white populations, (b) level of risk is different for risk factors that African-American share with whites, and (c) unique group-specific risk factors exist for African-Americans. This study developed and validated a risk prediction model for lung cancer that is specific to African-Americans and thus more precise in predicting their risks. These findings highlight the importance of conducting further ethnic-specific analyses of disease risk.

Meta- and Pooled Analysis of GSTP1 Polymorphism and Lung Cancer: A HuGE-GSEC Review

Lung cancer is the most common cancer worldwide. Polymorphisms in genes associated with carcinogen metabolism may modulate risk of disease. Glutathione S-transferase pi (GSTP1) detoxifies polycyclic aromatic hydrocarbons found in cigarette smoke and is the most highly expressed glutathione S-transferase in lung tissue. A polymorphism in the GSTP1 gene, an A-to-G transition in exon 5 (Ile105Val, 313A --> 313G), results in lower activity among individuals who carry the valine allele. The authors present a meta- and a pooled analysis of case-control studies that examined the association between this polymorphism in GSTP1 and lung cancer risk (27 studies, 8,322 cases and 8,844 controls and 15 studies, 4,282 cases and 5,032 controls, respectively). Overall, the meta-analysis found no significant association between lung cancer risk and the GSTP1 exon 5 polymorphism. In the pooled analysis, there was an overall association (odds ratio = 1.11, 95% confidence interval: 1.03, 1.21) between lung cancer and carriage of the GSTP1 Val/Val or Ile/Val genotype compared with those carrying the Ile/Ile genotype. Increased risk varied by histologic type in Asians. There appears to be evidence for interaction between amount of smoking, the GSTP1 exon 5 polymorphism, and risk of lung cancer in whites.

Racial Differences in the Association Between SNPs on 15q25.1, Smoking Behavior, and Risk of Non-small Cell Lung Cancer

Introduction: Three genome-wide association studies identified a region on chromosome 15q25.1 associated with lung cancer and measures of nicotine addiction. This region includes nicotinic acetylcholine receptor subunit genes CHRNA3 and CHRNA5. These studies were conducted in European or European American populations and do not provide risk estimates for African Americans. The goal of this study was to determine whether recently identified genetic variation in 3 SNPs (rs1051730, rs931794, rs8034191) on chromosome 15q25.1 contributes to risk of lung cancer in African Americans. Methods: Data were derived from three case-control studies. Participants included 1058 population-based non-small cell lung cancer cases selected from the Detroit area SEER registry and 1314 controls matched within study by age, race, and sex. Thirty-nine percent of participants were African American. Results: Risk associated with rs1051730 (odds ratio 1.59; 95% confidence interval 1.16-2.19) and rs931794 (odds ratio 1.39; 95% confidence interval 1.09-1.78) increased in ever smoking African Americans adjusting for cigarettes smoked per day. Among white cases, the number of cigarettes smoked varied by genotype at all three SNPs, and when smoking quantity was included in the models, risk was not significantly associated with any of the three SNPs. Conclusions: These findings suggest that SNPs in the CHRNA3 and CHRNA5 region contribute to lung cancer risk, and while variant alleles are less frequent in African Americans, risk in this group may be greater than in whites and less likely to reflect an indirect effect on lung cancer risk through nicotine dependence.

Chronic Obstructive Lung Diseases and Risk of Non-small Cell Lung Cancer in Women

Introduction: The link between lung cancer and chronic obstructive lung diseases (COPD) has not been well studied in women even though lung cancer and COPD account for significant and growing morbidity and mortality among women. Methods: We evaluated the relationship between COPD and non-small cell lung cancer in a population-based case-control study of women and constructed a time course of chronic lung diseases in relation to onset of lung cancer. Five hundred sixty-two women aged 18 to 74, diagnosed with non-small cell lung cancer and 564 population-based controls matched on race and age participated. Multivariable unconditional logistic regression models were used to estimate risk associated with a history of COPD, chronic bronchitis, or emphysema. Results: Lung cancer risk increased significantly for white women with a history of COPD (odds ratios [OR] = 1.85; 95% confidence intervals [CI]: 1.21–2.81), but this was not seen in African American women. Risk associated with a history of chronic bronchitis was strongest when diagnosed at age 25 or earlier (OR = 2.35, 95% CI: 1.17–4.72); emphysema diagnosed within 9 years of lung cancer was also associated with substantial risk (OR = 6.36, 95% CI: 2.36–17.13). Race, pack-years of smoking, exposure to environmental tobacco smoke as an adult, childhood asthma, and exposure to asbestos were associated with a history of COPD among lung cancer cases. Conclusions: In women, COPD is associated with risk of lung cancer differentially by race. Untangling whether COPD is in the causal pathway or simply shares risk factors will require future studies to focus on specific COPD features, while exploring underlying genetic susceptibility to these diseases.

CHRNA5 Risk Variant Predicts Delayed Smoking Cessation and Earlier Lung Cancer Diagnosis—A Meta-Analysis

BACKGROUND Recent meta-analyses show strong evidence of associations among genetic variants in CHRNA5 on chromosome 15q25, smoking quantity, and lung cancer. This meta-analysis tests whether the CHRNA5 variant rs16969968 predicts age of smoking cessation and age of lung cancer diagnosis. METHODS Meta-analyses examined associations between rs16969968, age of quitting smoking, and age of lung cancer diagnosis in 24 studies of European ancestry (n = 29 072). In each dataset, we used Cox regression models to evaluate the association between rs16969968 and the two primary phenotypes (age of smoking cessation among ever smokers and age of lung cancer diagnosis among lung cancer case patients) and the secondary phenotype of smoking duration. Heterogeneity across studies was assessed with the Cochran Q test. All statistical tests were two-sided. RESULTS The rs16969968 allele (A) was associated with a lower likelihood of smoking cessation (hazard ratio [HR] = 0.95, 95% confidence interval [CI] = 0.91 to 0.98, P = .0042), and the AA genotype was associated with a four-year delay in median age of quitting compared with the GG genotype. Among smokers with lung cancer diagnoses, the rs16969968 genotype (AA) was associated with a four-year earlier median age of diagnosis compared with the low-risk genotype (GG) (HR = 1.08, 95% CI = 1.04 to 1.12, P = 1.1*10(-5)). CONCLUSION These data support the clinical significance of the CHRNA5 variant rs16969968. It predicts delayed smoking cessation and an earlier age of lung cancer diagnosis in this meta-analysis. Given the existing evidence that this CHRNA5 variant predicts favorable response to cessation pharmacotherapy, these findings underscore the potential clinical and public health importance of rs16969968 in CHRNA5 in relation to smoking cessation success and lung cancer risk.

Hormone use and risk for lung cancer: A pooled analysis from the International Lung Cancer Consortium (ILCCO)

Background:The association between oral contraceptive (OC) use, hormone replacement therapy (HRT) and lung cancer risk in women is still debated.Methods:We performed a pooled analysis of six case–control studies (1961 cases and 2609 controls) contributing to the International Lung Cancer Consortium. Potential associations were investigated with multivariable unconditional logistic regression and meta-analytic models. Multinomial logistic regressions were performed to investigate lung cancer risk across histologic types.Results:A reduced lung cancer risk was found for OC (odds ratio (OR)=0.81; 95% confidence interval (CI): 0.68–0.97) and HRT ever users (OR=0.77; 95% CI: 0.66–0.90). Both oestrogen only and oestrogen+progestin HRT were associated with decreased risk (OR=0.76; 95% CI: 0.61–0.94, and OR=0.66; 95% CI: 0.49–0.88, respectively). No dose-response relationship was observed with years of OC/HRT use. The greatest risk reduction was seen for squamous cell carcinoma (OR=0.53; 95% CI: 0.37–0.76) in OC users and in both adenocarcinoma (OR=0.79; 95% CI: 0.66–0.95) and small cell carcinoma (OR=0.37; 95% CI: 0.19–0.71) in HRT users. No interaction with smoking status or BMI was observed.Conclusion:Our findings suggest that exogenous hormones can play a protective role in lung cancer aetiology. However, given inconsistencies with epidemiological evidence from cohort studies, further and larger investigations are needed for a more comprehensive view of lung cancer development in women.

Chromosome 5p Region SNPs Are Associated with Risk of NSCLC among Women

In a population-based case-control study, we explored the associations between 42 polymorphisms in seven genes in this region and non-small cell lung cancer (NSCLC) risk among Caucasian (364 cases; 380 controls) and African American (95 cases; 103 controls) women. Two TERT region SNPs, rs2075786 and rs2853677, conferred an increased risk of developing NSCLC, especially among African American women, and TERT-rs2735940 was associated with a decreased risk of lung cancer among African Americans. Five of the 20 GHR polymorphisms and SEPP1-rs6413428 were associated with a marginally increased risk of NSCLC among Caucasians. Random forest analysis reinforced the importance of GHR among Caucasians and identified AMACR, TERT, and GHR among African Americans, which were also significant using gene-based risk scores. Smoking-SNP interactions were explored, and haplotypes in TERT and GHR associated with NSCLC risk were identified. The roles of TERT, GHR, AMACR and SEPP1 genes in lung carcinogenesis warrant further exploration.