Abstract
This study was conducted to assess the association between prior history of respiratory disease and lung cancer among Mexican Americans using data from a multi-racial/ethnic lung cancer case–control study. Cases (n = 204) were patients with previously untreated lung cancer. Healthy control participants (n = 325) were recruited from a large physician group practice. Demographics, cigarette use, and history of respiratory disease were collected. Multivariable logistic regression models were used to estimate relative risk. Prior history of COPD (OR = 2.0; 95 % CI 1.2–3.3) and pneumonia (OR = 2.2; 95 % CI 1.3–3.6) were associated with an increased risk of lung cancer. These findings illustrate that prior COPD and pneumonia are associated with an increased risk of lung cancer among Mexican Americans. To our knowledge, this is one of largest case–control analyses assessing the role of respiratory disease and lung cancer risk specifically among Mexican-Americans.
Keywords: Lung diseases, Mexican Americans, Case–control studies, Epidemiology, Lung cancer
Introduction
In the United States (US) lung cancer is the leading cause of cancer-related deaths among Hispanic men and the second leading cause of cancer-related deaths among Hispanic women [1]. Compared to non-Hispanic whites in the US, Hispanics have a 33 % lower age-adjusted incidence of cancer and a 38 % lower cancer mortality rate, [2] but have worse survival for non-small cell lung cancer [3, 4]. There is evidence that suggest as Hispanics are assimilated into the US culture their lower cancer rates could potentially dissipate and mimic rates observed among non-Hispanic whites [2, 5]. Unfortunately, few epidemiologic studies for lung cancer have specifically targeted Hispanics or Mexican Americans, the largest Hispanic subgroup.
Cigarette smoking accounts for 30 % of all cancer deaths and an estimated 85 % of lung cancer deaths [6], yet only a fraction (~15 %) of smokers actually develop lung cancer [7]. Nonmalignant lung conditions (i.e., asthma, bronchitis, emphysema, hay fever, tuberculosis, and pneumonia) have been associated with an increased risk of lung cancer [8–16] and the injury and inflammation induced by smoking and chronic respiratory diseases may predispose individuals to carcinogenesis in affected tissues [17–21]. However, the biological role of respiratory disease is not entirely elucidated and data from epidemiologic studies have been inconsistent.
To address the paucity of research regarding the health of Mexican Americans, the US’ fastest growing population [22], and to better understand the role of lung cancer factors among Mexican-Americans, particularly smoking and prior history of respiratory disease, we analyzed data from a case–control study of lung cancer comprised of Mexican-American lung cancer cases and healthy controls who resided in the Houston, Texas Metropolitan area. To our knowledge, this is one of largest case–control analyses assessing the role of respiratory disease and lung cancer risk specifically among Mexican-Americans.
Methods
Study Population
The study population, covariates, and data collection procedures have been previously described [23, 24]. Briefly, the data were collected between 1991 and 2010 as a part of a multi-racial/ethnic lung cancer case–control study. Cases (n = 204) were patients who presented at The University of Texas MD Anderson Cancer Center with newly diagnosed, histopathologically confirmed lung cancer and were enrolled in the study before initiation of chemo- or radiation therapy. Patients were excluded from the study if they had received prior chemotherapy or radiotherapy at least 6 months prior to consent. Healthy control participants (n = 325) without a prior history of cancer (except non-melanoma skin cancer) were recruited from the Kelsey-Seybold Clinic, Houston’s largest multispecialty physician group practice. There were no age, gender, ethnicity, or disease stage restrictions on recruitment.
Ethnicity or country of origin was ascertained by the following question and response: “Are you of Spanish, Hispanic or Latino ethnicity or origin?” and “Yes, Mexican or Mexican American.” For our analysis, we focused on all the participants who were self-reported Mexican Americans which represented the majority of all self-reported Hispanics and approximately 6 % of the overall multi-racial/ethnic lung study population. All enrollees signed an informed consent and completed a personal interview; proxy interviews were not conducted. The institutional review boards of The University of Texas MD Anderson Cancer Center and the Kelsey-Seybold Clinic approved the study.
Exposure Assessment
Participants were classified as never smokers (<100 cigarettes in their lifetime), former smokers (quit more than 1 year before lung cancer diagnosis for the cases or 1 year before the interview date for the controls) and current smokers. Smoking variables included duration of smoking, number of cigarettes per day and pack-years smoked (i.e., years smoked times the average number of cigarettes per day divided by 20). For our analysis, smoking status was further categorized as 0<pack-years ≤ 20 (light); 20<pack-years ≤ 40 (moderate) and >40 pack-year (heavy). Among former smokers, we also ascertained age of smoking initiation, age at smoking cessation and years since quitting. Medical co-morbidities included self-reported physician-diagnosed respiratory diseases such as asthma, hay fever, chronic obstructive pulmonary disease (COPD; which included emphysema and chronic bronchitis) and pneumonia. Clinical covariates including stage of disease at diagnosis and histological characteristics were abstracted from the patient medical records of the lung cancer cases.
Statistical Analysis
Pearson’s χ2 test and Student’s t test were used to test for differences in distributions between the cases and controls for categorical and continuous variables, respectively. Unconditional logistic regression analyses were used to calculate odds ratios (ORs) and 95 % confidence intervals (CIs) as estimates of lung cancer risk. A simple yes/no binary variable was used for analysis of the respiratory diseases. To address potential residual confounding, the final logistic regression models were adjusted for age, gender, smoking intensity and self-reported pesticide exposure. Given that we previously found an increased risk of lung cancer for those with self-reported pesticide exposure in the same Mexican American lung study population [25], pesticide exposure was added to the final models. All analyses were performed using SPSS version 19 (IBM software, 2010).
Results
Data from 204 cases with lung cancer and 325 healthy controls were available for this analysis (Table 1). There were no statistically significant differences between the cases and controls in terms of gender, age by gender, family history of first degree relatives with cancer, and self-reported history of asthma or hay fever. Approximately 44 % of the cases were self-reported current smokers and 35 % of the cases were former smokers as compared to 30 and 36 %, respectively, for the controls (P<0.001). In general, cases reported heavier smoking histories than controls. Among current smokers, cases smoked 51 pack-years [mean (SD) = 34.3] compared with 25 pack-years [mean (SD) = 22.9] among controls. Among former smokers, cases smoked 41 pack-years [mean (SD) = 32.0] compared with 22 pack-years [mean (SD) = 31.6] among controls. Former smoker cases smoked longer [37.9 years, mean (SD) = 15.5] and quit smoking at a later age [57.5 years, mean (SD) = 12.2] than controls [24.6 years, mean (SD) = 14.7 and 44.7 years, mean (SD) = 14.3, respectively]. Approximately 23 % of cases reported a history of COPD and 25 % of cases reported a history of pneumonia, compared to 12 and 12 %, respectively, among the controls (P<0.001). The most common histology was adenocarcinoma (42.3 %) followed by squamous cell carcinoma (26.5 %) and the majority of the cases presented with stage III (28.1 %) or stage IV (50.6 %) lung cancer.
Table 1.
Characteristic | Cases (n = 204)
|
Controls (n = 325)
|
P value* | ||
---|---|---|---|---|---|
No. or mean (SD) | % | No. or mean (SD) | % | ||
Gender | |||||
Males | 134 | 65.7 | 198 | 60.9 | 0.270 |
Females | 70 | 34.3 | 127 | 39.1 | |
Mean age (years) | |||||
Overall | 63.5 (10.8) | 60.9 (13.3) | 0.013 | ||
Males | 63.8 (10.4) | 61.8 (12.9) | 0.127 | ||
Females | 63.0 (11.7) | 59.4 (13.8) | 0.065 | ||
Smoking status | |||||
Never | 43 | 21.1 | 110 | 33.9 | |
Former | 72 | 35.3 | 118 | 36.3 | 0.001 |
Current | 89 | 43.6 | 97 | 29.9 | |
Current smokers | |||||
Smoking duration | 43.4 (12.1) | 34.5 (16.2) | <0.001 | ||
No. of cigarettes/day | 23.3 (13.8) | 13.5 (11.1) | <0.001 | ||
Pack-years: mean(SD) | 50.7 (34.3) | 25.1 (22.9) | <0.001 | ||
Smoking Intensity | |||||
Light smoker: 0<pack-years ≤ 20 | 13 | 14.6 | 47 | 51.1 | |
Moderate smoker: 20<pack-years ≤ 40 | 24 | 27.0 | 23 | 25.0 | <0.001 |
Heavy smoker: 40<pack-years | 52 | 58.4 | 22 | 23.9 | |
Former smokers | |||||
Smoking duration | 37.9 (15.5) | 24.6 (14.7) | <0.001 | ||
No. of cigarettes/day | 20.8 (13.0) | 16.6 (14.6) | 0.045 | ||
Pack-years: mean | 41.2 (32.0) | 22.4 (31.6) | <0.001 | ||
Years since smoking cessation | 10.6 (9.19) | 16.2 (12.3) | 0.001 | ||
Age at smoking cessation | 57.5 (12.2) | 44.7 (14.3) | <0.001 | ||
Smoking intensity | |||||
Light smoker: 0<Pack-years ≤ 20 | 21 | 29.2 | 76 | 67.3 | |
Moderate smoker: 20<Pack-years ≤ 40 | 21 | 41.7 | 21 | 18.6 | <0.001 |
Heavy smoker: 40<pack-years | 30 | 29.2 | 16 | 14.2 | |
Co-morbidities | |||||
Asthma | 14 | 7.6 | 19 | 6.5 | 0.631 |
Chronic obstructive pulmonary diseasea | 42 | 22.8 | 34 | 11.6 | 0.001 |
Hay Fever | 10 | 5.6 | 39 | 13.3 | 0.007 |
Pneumonia | 46 | 25.3 | 35 | 11.9 | <0.001 |
Histology | |||||
Adenocarcinoma | 80 | 42.3 | |||
Squamous cell | 50 | 26.5 | |||
Other NSCLC | 25 | 13.2 | |||
Small cell | 16 | 8.5 | |||
Other LC | 18 | 9.5 | |||
Stage | |||||
I | 14 | 15.7 | |||
II | 5 | 5.6 | |||
III | 25 | 28.1 | |||
IV | 45 | 50.6 | |||
Family history among first degree relatives | |||||
Lung cancer | 15 | 7.4 | 25 | 7.7 | 0.886 |
Smoking-related cancersb | 53 | 26.0 | 81 | 24.9 | 0.785 |
SD standard deviation
P values were derived from Pearson’s χ2 test for categorical variables and Student’s t test for continuous variables
COPD included emphysema and chronic bronchitis
Smoking related cancers (e.g., head and neck; urinary bladder and kidney; esophageal; pancreatic; cervical; and esophageal)
As expected, we observed statistically significantly increased risks among the smoking-related variables except for years of smoking cessation which was inversely associated with lung cancer risk (Table 2). Overall risk for former smokers was 1.6-fold higher (OR = 1.6, 95 % CI 1.0–2.6) compared to never smokers and 2.4-fold higher for current smokers (OR = 2.4, 95 % CI 1.5–4.0). Among current smokers, moderate smokers (20<packyears ≤ 40) exhibited over a fourfold increased risk (OR = 4.2, 95 % CI 1.7–10.3) compared with a tenfold increased risk (OR = 10.0, 95 % CI 4.0–24.7) for heavy smokers (>40 pack-years). Similar patterns of risks were observed among former smokers but the ORs were attenuated. Furthermore, former smokers who had quit smoking for>10 years had a 60 % decreased risk of lung cancer (OR = 0.4, 95 % CI 0.2–0.7) compared to those who quit smoking for 10 years or less. Moreover, former smokers who quit smoking after age 30 years had nearly a sixfold higher risk of lung cancer (OR = 5.8, 95 % CI 1.2–27.4) compared to those who quit before the age of 30 years.
Table 2.
Variable | No. of cases | (%) | No. of controls | (%) | Multivariate odds ratioa | 95 % confidence interval |
---|---|---|---|---|---|---|
Smoking status | ||||||
Never | 43 | 21.1 | 110 | 33.9 | ||
Former | 72 | 35.3 | 118 | 36.3 | 1.6 | 1.0, 2.6 |
Current | 89 | 43.6 | 97 | 29.9 | 2.4 | 1.5, 4.0 |
Current smokers | ||||||
Smoking duration | ||||||
≤30 years | 15 | 16.9 | 30 | 32.6 | ||
>30 years | 74 | 83.1 | 62 | 67.4 | 1.9 | 0.8, 4.5 |
No. of cigarettes/day | ||||||
≤20 per day | 58 | 65.2 | 81 | 87.1 | ||
>20 per day | 31 | 34.8 | 12 | 12.9 | 3.7 | 1.7, 8.1 |
Smoking intensity | ||||||
Light smoker: 0<pack-years ≤ 20 | 13 | 14.6 | 47 | 51.1 | ||
Moderate smoker: 20<pack-years ≤ 40 | 24 | 27.0 | 23 | 25.0 | 4.2 | 1.7, 10.3 |
Heavy smoker: 40<pack-years | 52 | 58.4 | 22 | 23.9 | 10.0 | 4.0, 24.7 |
Former smokers | ||||||
Smoking duration | ||||||
≤30 years | 25 | 34.7 | 70 | 62.0 | ||
>30 years | 47 | 65.3 | 43 | 38.0 | 1.8 | 0.9, 3.7 |
No. of cigarettes/day | ||||||
≤20 per day | 43 | 59.7 | 93 | 82.3 | ||
>20 per day | 29 | 40.3 | 20 | 17.7 | 3.3 | 1.5, 7.1 |
Smoking intensity | ||||||
Light smoker: 0<pack-years ≤ 20 | 21 | 29.2 | 76 | 67.3 | ||
Moderate smoker: 20<pack-years ≤ 40 | 21 | 41.7 | 21 | 18.6 | 3.6 | 1.6, 8.33 |
Heavy smoker: 40<pack-years | 30 | 29.2 | 16 | 14.2 | 5.8 | 2.4, 13.9 |
Years since smoking cessation | ||||||
≤10 years | 42 | 58.3 | 49 | 41.5 | ||
>10 years | 30 | 41.7 | 69 | 58.5 | 0.4 | 0.2, 0.7 |
Age at smoking cessation | ||||||
≤30 years | 2 | 2.8 | 25 | 21.2 | ||
>30 years | 70 | 97.2 | 93 | 78.8 | 5.8 | 1.2, 27.4 |
Smoking cessation | ||||||
Years>10, Age ≤30 | 2 | 2.8 | 22 | 18.6 | ||
Years<10, Age ≤30 | 0 | 0.0 | 3 | 2.5 | – | – |
Years>10, Age>30 | 28 | 38.9 | 47 | 39.8 | 3.7 | 0.7, 18.8 |
Years<10, Age>30 | 42 | 58.3 | 46 | 39.0 | 8.2 | 1.6, 40.6 |
Respiratory co-morbidities | ||||||
No respiratory disease | 115 | 57.2 | 224 | 68.9 | ||
Any respiratory disease | 86 | 42.8 | 101 | 31.1 | 1.5 | 1.0, 2.3 |
No Asthma | 184 | 92.5 | 305 | 93.8 | ||
Asthma | 15 | 7.5 | 20 | 6.2 | 1.3 | 0.6, 2.8 |
No COPD | 154 | 77.0 | 285 | 88.0 | ||
COPD | 46 | 23.0 | 39 | 12.0 | 2.0 | 1.2, 3.3 |
No hay fever | 184 | 94.4 | 284 | 87.7 | ||
Hay fever | 11 | 5.6 | 40 | 12.3 | 0.4 | 0.2 0.9 |
No pneumonia | 148 | 75.1 | 286 | 88.0 | ||
Pneumonia | 49 | 24.9 | 39 | 12.0 | 2.2 | 1.3, 3.6 |
All variables are adjusted for age, sex, and self-reported pesticide exposure. Respiratory co-morbidities are also adjusted for smoking intensity (number of smoking years/number of cigarettes per day)
For the testing of those with respiratory co-morbidities, a previous self-reported physician diagnosis of hay fever (OR = 0.4, 95 % CI 0.2–0.9) was inversely associated with lung cancer. Conversely, self-reported history of those with COPD (OR = 2.0; 95 % CI 1.2–3.3) and those with pneumonia (OR = 2.2, 95 % CI 1.3–3.6) were both associated with a statistically significant increased risk of lung cancer. When we conducted the same main-effect models among never smokers only, the findings for asthma, hay fever, COPD and pneumonia exhibited the effects in the same directions but the odds ratios (ORs) were not statistically significant (data not shown).
Discussion
In this case–control analysis comprised of self-reported Mexican-Americans, we found a prior history of pneumonia and prior history of COPD were both associated with an increased risk of lung cancer; yet we found an inverse relationship for those with a prior history of hay fever.
Previous epidemiology studies have reported increased lung cancer risk associated with prior COPD diagnosis in Caucasian and African American populations [8, 15, 24–28]. However, this is the first analysis reporting this association among Mexican-Americans. COPD, primarily emphysema and chronic bronchitis, is characterized by airflow limitation that is not completely irreversible and this airflow limitation is usually progressive and often associated with an inflammatory response to environmental exposures (e.g., cigarette smoking) [29]. In our analysis, COPD was associated with a significant twofold increased risk for lung cancer (OR = 2.0, 95 % CI 1.2–3.3) and these findings are substantially lower than what we previously reported for African Americans (OR = 6.4, 95 % CI 3.2–12.6) [24] and moderately lower among non-Hispanic whites (OR for emphysema = 2.7; 95 % CI 2.2–3.6) [23] from the same multi-racial/ethnic lung cancer case–control study. A recent meta-analysis of twelve studies found an increased risk for lung cancer associated with a history of pneumonia in both prospective studies (OR = 1.2, 95 % CI 1.0–1.3) and retrospective studies (OR = 2.2, 95 % CI 1.8–2.6) [30]. In contrast, Koshiol and colleagues [31] found that individuals who reported multiple pneumonia diagnosis exhibited a statistically decreased risk of lung cancer (OR = 0.8, 95 % CI 0.6–1.0). Since we did not collect number of pneumonia diagnoses, we could not perform multiple diagnoses analysis in this study. Presently there are no data to support a biologic role for pneumonia in lung cancer; however, one could speculate that the inflammation involved with pneumonia infection could be attributed to this observed relationship. Pneumonia is commonly caused by viruses or bacteria (i.e., Steptocococcus pneumonia, Haemphilis influenzae, Legionella pneumophilia and Chlamydia pneumoniae) [32–34] and is associated with pulmonary inflammation. Moreover, inflammation has been proposed as a biological mechanism to explain the increased lung cancer risk for those with lung infections including pneumonia and tuberculosis [17–21]. Mechanistically inflammation has been implicated as a cancer initiator or promoter since inflammation generates reactive oxygen species (ROS) which can result in DNA damage; lead to cell injury and impaired DNA repair capacity; increase cell proliferation; as well as stimulate angiogenesis [21, 35–37]. At present the biological role of pneumonia and lung cancer risk is not well-established.
The association between hay fever and lung cancer risk is unclear as previous studies have found protective effects [38–43], no association [13, 38] and increased risk [13, 38]. In the present study we found a statistically significant inverse effect (OR = 0.4, 95 % CI 0.2–0.9) associated with a prior history of hay fever which is also consistent with our previous findings among non-Hispanic whites [44]. As we previously discussed [44], there are several hypotheses that have been postulated to address the association between hay fever and lung cancer. Some studies propose that hay fever results in an enhanced stimulated immune system and is better able to detect and destroy malignant cells thereby conferring a protective effect [38–43]. The protective effect of hay fever may be explained by the proliferation and use of over-the-counter and prescription allergy medications. These agents include antihistamines, corticosteroids, decongestants, mast cell stabilizer, leukotriene modifiers and bronchodilators, all of which block allergy symptoms through various mechanisms [45]. It is also possible that individuals with allergies will make lifestyle choices to prevent exacerbation of their symptoms such as avoiding certain dietary constituents and/or environments with environmental tobacco smoke, air pollution, or occupational carcinogens [44, 46–49]. Further, as stated in our previous findings [45], we cannot overlook the “immune surveillance hypothesis” a process by which tumors may be suppressed by tumor-associated antigens [50].
Since cigarette smoking is more strongly associated with lung cancer than any other cancer [51], we expected to find sizeable increased risks among current- and former smokers. In our study for both case and control participants, current smokers smoked at levels similar to those reported by Haiman et al. [52] and with our previous study in non-Hispanic Whites [23]. The age a participant quit smoking among former smokers remains an important determinant as the reduction in risk is greater the younger the age of smoking cessation [53]. In this present analysis, former smokers who quit after the age of thirty exhibited a threefold increased risk of lung cancer. This finding was not unexpected since cancer incidence of former smokers, which represent the majority of lung cancers diagnosed, does not return to the rate of never smokers [24, 54]. Due to small sample size, were not able to evaluate the interaction between smoking status and previous lung disease.
Limitations in our study necessitate consideration. We used a hospital-based case recruitment system because we were required by the parent grant to identify lung cancer patients prior to therapy. Therefore, our study is not population-based and we recognize this limitation in control accrual. However, the principle that controls must represent the entire population of non-diseased individuals has been debated. Many epidemiologists argue that the selection of controls should be based on individuals who have the possibility of becoming cases [55, 56]. We believe our controls, who were recruited through a local multi-specialty physician practice in the Houston metropolitan area, would have sought treatment at MD Anderson Cancer Center if they had developed cancer, thereby meeting the criteria of Rothman and Greenland [55]. We acknowledge that one could argue selection bias may occur and those who declined to participate may have had differing rates of lung disease.
Whilst recall and reporting bias are another potential limitation, studies have validated the use of self-report as a viable means for assessing chemical-related exposures [57–59] as well as chronic diseases. Toren et al. [60] determined that questions regarding self-reported physician-diagnosed asthma, regardless of mode of validation (i.e., against a bronchial challenge test; clinical assessment; and/or no comparison) offer the highest specificity and were the most reliable. Others have found that self-reported data for hypertension to be highly correlated with physician records [61–64]. Moreover, misclassification bias due to language barriers and low levels of literacy can occur in well-validated survey instruments [65]. However, we feel recall of co-morbidities in our study would be minimal since participants are more apt to remember if “a doctor ever told you that you have had any of the following medical conditions?” (e.g., asthma, COPD, pneumonia, and hay fever) than if a proxy was used. If misclassification occurred it would be non-differential and therefore underestimate the association [66]. Even though we adjusted for smoking status, COPD is so strongly associated with tobacco use that we cannot overlook the possibility of residual confounding. Finally, small sample size prohibited testing interaction between smoking and prior respiratory disease.
Despite these limitations these data suggest that prior respiratory diseases such as COPD and pneumonia as are associated with an increased risk for lung cancer in Mexican Americans. Identifying risk factors such as C. pneumonia infections and COPD may induce targeted treatments to help attenuate progression to lung cancer. Furthermore, the observed increased risks in our study of Mexican Americans is similar to the increased risks to that of non-Hispanic whites which lends support to the hypothesis that once Mexican Americans are assimilated into US culture their rates of chronic diseases, including cancer, mimics rates observed among non-Hispanic whites [2, 5]. Our findings that Mexican Americans risk of lung cancer significantly differs from what we have previously published for African Americans [24] from the same multiracial/ethnic lung cancer case–control study may indicate an enhanced genetic predisposition for lung cancer in certain race/ethnicities. Therefore, the development of gene-environment interaction studies are needed to identify specific genes associated with this increased risk of lung cancer. Since this study is one of the largest case–control analyses assessing lung cancer risk among Mexican-Americans, we believe disseminating our findings is vital to address the gap that exists in Mexican American lung cancer research, while advancing our knowledge of the United States’ fastest growing ethnic population.
Acknowledgments
This work was supported by the National Cancer Institute at the National Institutes of Health (K07CA093592 to C.J.E., CA55769 and CA127219 to M.R.S., and CA123208 and CA131327 to C.J.E.), and by a National Cancer Institute at the National Institutes of Health cancer prevention fellowship (R25T CA57730 to M.K.M.), Shine Chang, Ph.D., Principal Investigator.
Contributor Information
Michelle K. McHugh, Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
Matthew B. Schabath, Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
Chung-han Ho, Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Mei Liu, Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Anthony M. D’Amelio, Jr., Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
Anthony J. Greisinger, Kelsey Research Foundation, Houston, TX 77005, USA
George L. Delclos, Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX 77030, USA. Universitat Pompeu Fabra, Barcelona, Spain. CIBER Epidemiología y Salud Pública (CIBERESP), Center for Research in Occupational Health, Barcelona, Spain
Margaret R. Spitz, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
Carol J. Etzel, Email: cetzel@mdanderson.org, Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
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