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Lung cancer risk in never-smokers: a population-based case-control study of epidemiologic risk factors

  • Darren R Brenner1, 2,
  • Rayjean J Hung1, 2,
  • Ming-Sound Tsao3, 4,
  • Frances A Shepherd3, 4,
  • Michael R Johnston3, 4,
  • Steven Narod2, 3, 5,
  • Warren Rubenstein6 and
  • John R McLaughlin1, 2, 7Email author
BMC Cancer201010:285

DOI: 10.1186/1471-2407-10-285

Received: 26 November 2009

Accepted: 14 June 2010

Published: 14 June 2010

Abstract

Background

We conducted a case-control study in the greater Toronto area to evaluate potential lung cancer risk factors including environmental tobacco smoke (ETS) exposure, family history of cancer, indoor air pollution, workplace exposures and history of previous respiratory diseases with special consideration given to never smokers.

Methods

445 cases (35% of which were never smokers oversampled by design) between the ages of 20-84 were identified through four major tertiary care hospitals in metropolitan Toronto between 1997 and 2002 and were frequency matched on sex and ethnicity with 425 population controls and 523 hospital controls. Unconditional logistic regression models were used to estimate adjusted odds ratios (OR) and 95% confidence intervals (CI) for the associations between exposures and lung cancer risk.

Results

Any previous exposure to occupational exposures (OR total population 1.6, 95% CI 1.4-2.1, OR never smokers 2.1, 95% CI 1.3-3.3), a previous diagnosis of emphysema in the total population (OR 4.8, 95% CI 2.0-11.1) or a first degree family member with a previous cancer diagnosis before age 50 among never smokers (OR 1.8, 95% CI 1.0-3.2) were associated with increased lung cancer risk.

Conclusions

Occupational exposures and family history of cancer with young onset were important risk factors among never smokers.

Background

Lung cancer is the most common type of cancer and the leading cause of cancer death in Canada with approximately 23,400 new cases (14.3 percent of all new cancers among males, 13.1 percent among females) and 20,500 deaths annually [1]. Although active tobacco smoking has been well established as the major cause of lung cancer [25], the etiology among never smokers beyond ETS exposure [6] remains to be elucidated and is of great public health importance [7, 8]. The influences of indoor air pollution, workplace exposures and previous history of respiratory disease on lung cancer development among never smokers require additional investigation.

To further understand the etiology of lung cancer, with special consideration given to never smokers, we conducted a case-control study in the greater Toronto area with oversampling among never smokers. The objective of this study was to evaluate potential lung cancer risk factors including ETS exposure, family history of cancer, indoor air pollution, workplace exposures and history of previous respiratory diseases.

Methods

Study population and data collection

The case series consisted of incident cases of cancer of the trachea, bronchus or lung diagnosed among men and women between the ages of 20 and 84. Cases were identified between 1997 and 2002 through four major tertiary care hospitals in metropolitan Toronto that have the largest lung cancer services for surgical and medical oncology, including the two centres that see all patients who require radiotherapy. Diagnoses were histologically confirmed by a pulmonary pathologist following classification according to the ICD for oncology-3 [9]. As one of the main objectives of the study was to study lung cancer etiology other than from tobacco exposure, among never smokers, we therefore over sampled never smoking lung cancer patients, leading to 35% of the total cases being never smokers. A total of 445 eligible cases and 948 controls were recruited into the study for whom consent was obtained. Controls were residents of metropolitan Toronto who did not have cancer at the time of recruitment. Population-based controls were randomly sampled from property tax assessment files (n = 425). Hospital-based controls were sampled from patients seen in the Mount Sinai Hospital Family Medicine Clinic (n = 523), which is a non-specialty, family medicine practice situated within the hospital where recruitment into the study was conducted independent of reason for visit to the clinic. Controls were frequency matched with cases on sex and ethnicity. Participation rates were similar between cases (62%, 445 of 716 total eligible, 116 refused participation, whereas the remaining patients died before study entry and/or complete data collection was possible) and population controls, (60%, 425 of total 718 eligible) and slightly higher among hospital controls (84%, 523 of 621 total eligible). Informed consent was obtained from all participants and approvals were obtained from the Research Ethics Board.

Exposure Information

Participants' lifetime information concerning tobacco consumption, exposure to ETS exposure, air pollution from heating, workplace exposures to potential lung carcinogens, family history of cancer and health history were collected through a detailed questionnaire administered via interview either in person or over the telephone. 'Never smokers' were defined as those who had not smoked more than 100 cigarettes in their lifetime. 'Former smokers' were smokers who had stopped smoking for at least two years at the date of the interview. Cumulative tobacco exposure was estimated in pack-years, where a pack is 20 cigarette equivalents.

Environmental tobacco smoke (ETS) exposure was categorized as having been exposed to second hand smoke either during childhood, as an adult or at work, with duration in years categorized to examine dose-response relationships. Indoor air pollution from heating was collected for oil, gas, coal & wood sources, with the duration of each exposure recorded. A measure of solid fuels for heating (coal and wood) was also created to examine the potential for differential effects of heating sources with particulate matter emission. Workplace exposures to potential lung carcinogens including asbestos, paints and/or solvents, welding equipment, pesticides, grain elevator dust, wood dust and smoke, soot or exhaust (not from tobacco) were dichotomized as exposed or unexposed. Family history was classified as the number of first degree relatives with any cancer, lung cancer, or aerodigestive tract cancers with distinction by relative types.

Statistical Analysis

Differences in demographics between cases and controls as well as between control types were evaluated using χ2 tests and t-tests. Multivariate unconditional logistic regression models were used to obtain odds ratio (OR) estimates and 95% confidence intervals (CI) for the associations between exposures and lung cancer risk, adjusted for cumulative tobacco exposures (pack-years), age (years), gender, education and ethnicity. Given that cases were sampled based on smoking status, all analyses were adjusted for smoking and the focus of this investigation is on factors other than tobacco. Indicator variables were created for all categorical variables in analyses. We stratified analyses by years of exposure and age of onset when applicable in an attempt to determine the temporality of potential exposure-disease associations. Analyses were conducted using SAS Version 9.1 (SAS V9.1; SAS Institute Inc, Cary NC, USA).

We also applied the Spitz (2007) [10] and Liverpool Lung Project (2008) [11] lung cancer risk models to evaluate the predictive ability of their models within our population. We stratified our population by smoking status to examine the area under the curve and Hosmer Lemeshow goodness-of-fit statistics [12] within the subgroups. Previous history of hay fever and dust exposure were not available in our study and were thus not included as part of the Spitz model.

Results

Table 1 shows the frequency distribution of demographic variables and smoking for cases and controls. Controls were younger and more educated. There was a higher percentage of never smokers among controls than cases. Among cases, adenocarcinoma was the most common histological subtype with a higher proportion of adenocarcinomas among never smoking cases. Never smoking cases also consisted of a higher proportion of females and Asians and were on average younger at diagnosis (p < .0001). When examining demographic differences between population and hospital based controls, controls varied across gender, education, age groups and smoking groups. However, when examining age and pack-years smoking as included in regression models, we observed no significant differences across control types.
Table 1

Demographic characteristics of lung cancer patients and controls in a population based case-control study, Greater Toronto Area, Ontario, 1997- 2002

 

Case, n(%)

Control, n(%)

 
 

Smokers

Never smokers

Total

Smokers

Never smokers

Total

p valuea

Total

289

156

445

482

466

948

 

Gender

       

   Male

163 (56)

46 (30)

209 (47)

241 (50)

145 (31)

386 (41)

p = 0.03

   Female

126 (44)

110 (70)

236 (53)

241 (50)

321 (69)

562 (59)

 

Age

       

   < 35

1 (< 1)

10 (6)

11 (3)

58 (12)

86 (18)

144 (15)

 

   35-45

9 (3)

21 (13)

30 (7)

77 (16)

89 (19)

166 (180

 

   45-55

34 (12)

27 (17)

61 (14)

88 (18)

85 (18)

173 (18)

 

   55-65

63 (22)

28 (18)

91 (20)

101 (21)

88 (19)

189 (20)

 

   65-75

131 (45)

57 (37)

188 (42)

100 (21)

71 (15)

170 (18)

 

   > 75

51 (18)

13 (8)

64 (14)

58 (12)

48 (10)

106 (11)

 

Age, Mean ± SD

66 ± 10

59 ± 13

64 ± 12

56 ± 16

53 ± 17

54 ± 16

< .0001

Ethnicity

       

   White

255 (88)

97 (62)

352 (79)

429 (89)

346 (74)

775 (82)

p = 0.07

   Asian

21 (7)

48 (31)

69 (16)

27 (6)

78 (17)

105 (11)

 

   Other

13 (5)

11 (7)

24 (5)

26 (5)

42 (9)

68 (7)

 

Education

       

   < 8 years

97 (34)

36 (23)

137 (31)

55 (11)

68 (15)

140 (15)

< .0001

   8-11 years

137 (47)

52 (33)

189 (42)

212 (44)

187 (40)

399 (42)

 

   ≥12 years

55 (19)

64 (41)

119 (27)

205 (43)

204 (44)

409 (43)

 

All types of smoking combined

       

   Never

 

156

156 (35)

 

466

466 (49)

< .0001

   Former (> 2 yrs. Since quitting)

159 (55)

 

159 (36)

319 (66)

 

319 (34)

 

   Current

130 (45)

 

130 (29)

163 (34)

 

163 (17)

 

   Pack-yearsb, Mean ± SD

45 ± 35

  

25 ± 27

  

< .0001

Histology

       

   Adenocarcinoma

80 (28)

76 (49)

156 (35)

    

   Squamous cell carcinoma

68 (24)

9 (6)

77 (17)

    

   Small-cell carcinoma

28 (10)

4 (3)

32 (7)

    

   Large cell carcinoma

21 (7)

6 (4)

27 (6)

    

   Others/Mixed

46 (16)

26 (17)

72 (16)

    

Not classified/clinical

diagnosis

46 (16)

35 (22)

81 (18)

    

a p-values from χ2 test or t-test across cases and controls

b Pack-years among ever and current smokers

Cases and controls did not vary significantly in the total hours exposed to ETS during childhood or adulthood at home (data not shown). Among never smokers in our population, we observed no association between either exposure to ETS at home or at the workplace and lung cancer risk (Table 2). In general, the effect estimates for ETS exposure were similar between the total population and only among never smokers. In terms of indoor air pollution, we did not observe a significant association between heating source (coal and/or wood) and lung cancer risk among never smokers (OR 1.5, 95% CI 0.1-2.8).
Table 2

The association between ETS and risk of lung cancer among never smokers in a population based case-control study, Greater Toronto Area, Ontario, 1997-2002

 

Total Population n = 1393

 

Never smokers n = 622

 
 

Case, n

Control, n

ORa

95%CI

Case, n

Control, n

ORb

95%CI

 

445

948

  

156

466

  

ETS Exposure

        

   None

29

88

Refc

 

23

68

Refd

 

   At home Adult and/or Child

375

772

1.2

0.7-1.9

109

341

1.1

0.6-1.9

Childhood

333

672

1.1

0.7-1.9

93

298

1.0

0.6-1.8

Adulthood

226

439

1.0

0.6-1.7

50

247

1.0

0.5-2.0

   At work

259

463

1.3

0.9-1.9

69

179

1.2

0.7-2.1

< 10 years

73

194

1.1

0.8-1.6

32

90

1.3

0.8-2.2

> 10 years

176

261

1.2

0.9-1.6

37

86

1.2

0.7-2.0

   At both home and work

226

405

1.4

0.9-2.2

50

142

1.2

0.7-2.1

aOR is adjusted for pack-years of smoking, age, sex, education and ethnicity

bOR is adjusted for age, sex, education and ethnicity

cReference group consists of all participants with no ETS exposure

dReference group consists of never-smokers with no ETS exposure

The association between occupational exposures to asbestos, solvents, paints or thinners, welding equipment, pesticides, grain elevator dust, wood dust and smoke, soot or exhaust (from sources other than tobacco) and lung cancer risk is shown in Table 3. Occupational exposure to any of the putative lung carcinogens was associated with lung cancer risk in the total population (OR 1.6, 95% CI 1.4-2.1). Among never smokers, the odds ratio for exposure to any of the putative carcinogens was 2.1 (95% CI 1.3- 3.3). Specifically among never smokers, exposure to solvents, paints or thinners conferred an OR of 2.8 (95% CI 1.6-5.0), while exposure to welding equipment conferred an OR of 3.4 (95% CI 1.1-10.4) and exposure to smoke, soot or exhaust (other than tobacco) conferred an OR of 2.8 (95% CI 1.4-5.3). We did not observe significant associations for exposures to asbestos, pesticides, grain elevator dust, and wood dust among never smokers in our study.
Table 3

The association between workplace exposures and risk of lung cancer in a population based case-control study, Greater Toronto Area, Ontario, 1997-2002

 

Total Population n = 1393

 

Never smokers n = 622

 
 

Case, n

Control, n

ORa

95%CI

Case, n

Control, n

ORb

95%CI

 

445

948

  

156

466

  

No previous exposures

261

691

 

Refc

104

371

 

Refd

Any occupational exposure

191

275

1.6

1.4-2.1

52

95

2.1

1.3-3.3

Ever worked with/been exposed to:

      

   Asbestos

31

51

1.1

0.6-2.0

5

16

1.0

0.3-3.0

   Solvents, paints or thinners

107

152

1.6

1.2-2.3

33

54

2.8

1.6-5.0

   Welding equipment

33

43

1.7

1.0-3.0

7

11

3.4

1.1-10.4

   Pesticides

21

24

1.6

0.8-3.1

3

6

1.1

0.2-5.3

   Grain elevator dust

12

19

1.1

0.5-2.4

3

7

1.1

0.3-4.6

   Wood dust

47

80

1.5

1.0-2.4

11

26

1.8

0.8-4.2

   smoke-soot or exhaust

75

99

1.7

1.2-2.5

21

33

2.8

1.4-5.3

   other than tobacco

        

aOR is adjusted for pack-years of smoking, age, sex, education and ethnicity

bOR is adjusted for age, sex, education and ethnicity

cReference group consists of all participants with no previous workplace exposures

dReference group consists of never smokers with no previous workplace exposures

With regard to previous medical history of respiratory conditions, we observed a significant increase in lung cancer risk associated with a previous diagnosis of emphysema among the total population (OR 4.8, 95 % CI 2.0-11.1) (Table 4). When stratified by age at onset, those with age of onset of emphysema greater than 50 years old had a significant increase in lung cancer risk (OR 4.2, 95% CI 1.0-10.9), whereas among those less than 50 years of age, the risk was not significant (OR 4.0, 95% CI 0.6-27.5) (Data not shown). None of the other previous conditions we investigated (asthma, chronic bronchitis, pneumonia or tuberculosis) were associated with increased risk. In a model including all previous lung disease, the effects of emphysema maintained significance.
Table 4

The association between previous medical history and risk of lung cancer in a population based case-control study, Greater Toronto Area, Ontario, 1997-2002

 

Total Population n = 1393

 

Never smokers n = 622

 
 

Case, n

Control, n

ORa

95%CI

Case, n

Control, n

ORb

95%CI

 

445

948

  

156

466

  

Emphysema

        

   Never

414

940

1.0

Ref

154

465

1.0

Ref

   Ever

31

8

4.8

2.0-11.1

2

1

3.1

0.3-35.9

Chronic Bronchitis

        

   Never

424

899

1.0

Ref

153

440

1.0

Ref

   Ever

21

49

0.9

0.5-1.7

3

26

0.4

0.1-1.5

Asthma

        

   Never

388

835

1.0

Ref

140

408

1.0

Ref

   Ever

57

113

1.2

0.8-1.8

16

58

1.0

0.5-1.9

Pneumonia

        

   Never

434

913

1.0

Ref

151

456

1.0

Ref

   Ever

11

35

0.6

0.3-1.2

5

10

1.9

0.6-6.2

Tuberculosis

        

   Never

439

943

1.0

Ref

153

463

1.0

Ref

   Ever

6

5

2.6

0.7-9.2

3

3

2.2

0.4-12.5

Other respiratory illness

      

   Never

385

823

1.0

Ref

139

403

1.0

Ref

   Ever

60

125

1.1

0.8-1.6

17

63

0.9

0.5-1.7

aOR is adjusted for pack-years of smoking, age, sex, education and ethnicity

bOR is adjusted for age, sex, education and ethnicity

We did not observe a significant association between family history of cancer and lung cancer risk, except among those with affected relatives with young onset (< 50 years of age) cases (Table 5). Among never smokers having a relative with young onset cancer was associated with a significant increase in risk (OR 1.8, 95% CI 1.0-3.2, (p = 0.04)). An increasing number of first degree relatives with a previous history of any cancer suggested an increase in risk for having 2 or more family members. Trend statistics for increasing number of first degree relatives with cancer were, however, not significant (p-trend = 0.2). No association was detected when data were analyzed by the type of affected relatives (data not shown).
Table 5

The association between family history of previous cancer and risk of lung cancer in a population based case-control study, Greater Toronto Area, Ontario, 1997-2002

 

Total Population n = 1393

 

Never smokers n = 622

 
 

Case, n

Control, n

ORa

95%CI

Case, n

Control, n

ORb

95%CI

 

445

948

  

156

466

  

No family history of any cancer

246

563

1.0

Refc

95

293

1.0

Refd

Positive family history of any cancer

        

   1

141

292

1.1

0.8-1.4

42

134

0.9

0.6-1.4

   2 or more

58

93

1.3

0.9-1.9

19

39

1.4

0.8-2.8

   Affected relatives age at onset < 50

82

126

1.3

0.9-1.9

28

48

1.8

1.0-3.2

Positive family history of aero-digestive cancer

45

78

1.2

0.8-1.8

11

34

0.9

0.4-1.9

Positive family history of lung cancer

30

63

1.0

0.6-1.7

8

26

0.9

0.4-2.1

aAdjusted for pack-years smoking, age, sex, education and ethnicity

bAdjusted for age, sex, education and ethnicity

cReference group consists of all participants with no family history of cancer

dReference group consists of never smokers with no family history of cancer

Applying the Spitz risk model indicated that there was only modest predictive ability among never smokers in our population (Area under the Curve (AUC) 0.525). Among smokers (current and former), however, the Spitz model was shown to have better predictive power, (AUC former smokers = 0.716, current smokers = 0.780), despite our study not possessing data for hay fever or dust exposure. The Liverpool Lung Project risk model provided similar outcomes in prediction, identifying cases in the total population well (AUC 0.788) with lower statistics when applied to only never smokers in the population (AUC 0.721).

Discussion

In this study we investigated the impact of several factors on lung cancer risk overall as well as specifically among never smokers. The most important risk factors we observed among never smokers were exposure to potential occupational carcinogens, family history of cancer with young onset and previous history of respiratory diseases among the total population.

In our examination of the effects of several occupational exposures among never smokers in the greater Toronto area we found several significant potential sources of increased risk including exposure to solvents, paints or thinners, welding equipment and smoke, soot or exhaust (from sources other than tobacco). This information is important as data concerning occupational exposures and lung cancer among never smokers are still lacking in the literature [13].

Our results support the concept that exposure to exhaust fumes and or soot/smoke (from non-tobacco sources) is a source of carcinogenic exposure. A previous meta-analysis suggested that when adjusted for smoking, heavy diesel exhaust exposure was associated with an increased risk (OR 1.4, 95% CI 1.3-1.6) [14], and a recent study examining the effects in a similar Canadian population, was also suggestive of increased risk (OR 1.6, 95% CI 0.9-2.8) [15]. With regards to soot and exhaust exposure, these substances contain benzo[a]pyrene, a known carcinogen, and has been consistently shown to increase risk [16, 17]. We observed an increased risk associated with exposure to paints, thinners and solvents, which was in agreement with previous studies [1822]. When ingested, these substances can affect the pleural membranes, causing scarring and or mutations, thus increasing the potential for carcinogenesis [23]. Similarly, exposure to welding equipment was associated with increased risk as observed in a meta-analysis of welding and lung cancer [24]. Wood dust is a known carcinogen associated with the development of cancers of the respiratory tract [2527]. In this study the estimate for wood dust exposure was suggestive of increased risk among never smokers. While these observations require replication, they are consistent with the overall patterns seen for wood dust, with the potential implication that workplace exposures should be controlled and monitored. Asbestos exposure has been previously shown to have an effect on lung cancer risk [28, 29]; however, no association between lung cancer and asbestos was seen here among never smokers, contrary to previously published results [30]. The discrepancies with the previous studies may be due to an attenuation of the risk estimate as a result of the simple dichotomy used to indicate asbestos exposure which may not distinguish between actual or potential exposure among the small number of individuals reporting exposure in this non-occupational cohort. Overall, these observations provide support for efforts to control, monitor and reduce exposures to potentially hazardous workplace exposures, which in this study are shown to be associated with lung cancer, even among never smokers.

Our findings are consistent with the evidence suggesting that a previous history of acquired respiratory conditions is a risk factor for lung cancer [3141]. Chronic inflammation and airway obstruction may predispose individuals to various types of cancer as the damage created by acquired pulmonary diseases such as chronic obstructive pulmonary disease (COPD) may be involved in cancer development [4247]. Proposed biological mechanisms include enhanced effects of carcinogenic exposures in the presence of chronic inflammation or a compromised immune response [48, 49], as well as the possibility of lung cancer evolving directly from the scar lesions created by non-malignant conditions [50, 51]. Although the analyses performed here accounted for active smoking, it is still possible that the relationship between acquired respiratory disease and lung cancer is partially explained by residual confounding from tobacco [52]. In addition, due to the relatively small numbers further investigations among never smokers is still warranted. Further elucidation and characterization of the genetic variants associated with inflammation of the lungs may also help to clarify the role of acquired respiratory conditions in the etiology of lung cancer.

ETS exposure was not found to significantly increase risk among never smokers in this study, however, several potential explanations are possible. ETS exposure either as a child or an adult in the home or the workplace has been evaluated in numerous studies [53]. The results, however, have been inconsistent as to the significance and magnitude of the effects among never smokers. When estimates were pooled in a meta-analysis of 34 case-control studies of non-smokers, a pooled relative risk of 1.2 (95% CI 1.1-1.4) was observed, although only seven out of 34 studies reporting significantly elevated risk [6]. It was suggested that the inconsistency in the significance of findings across studies could be due to issues of sample size, measurement error, recall bias and confounding [54]. Despite our efforts to minimize misclassification bias by collecting data on involuntary tobacco smoke exposure data for home, work and other exposure locations during both childhood and adulthood, the possibility of these issues cannot be excluded. The main limitation in our study is the lack of power to detect a modest effect. Non-differential misclassification of the dichotomous exposures may also lead to a bias toward to null. We combined hospital and population based controls in an attempt to increase our sample size and in turn the ability to detect significant associations. In order to address any issues created by this pooling we investigated effect estimates among only population based controls. Effect estimates were of a similar magnitude and no significant associations were observed among population based controls that were not observed among the total population.

Another limitation of this study is its dependence on self-reported exposures. Previous history of respiratory disease was self-reported as access to patient medical records was not available for validation, and similarly, validation of occupation was not possible due to a lack of occupational records. Even so, this study provides risk estimates for a relatively large group of never smoking lung cancer cases in a population-based study, and thus yields findings that are of increasing relevance given recent changes in tobacco use in the population. The detailed risk factor information concerning indoor air pollution and family history collected from patients following diagnosis, as well as similar participation rates among cases and controls are additional strengths of the study.

When applying previously specified risk prediction models to our population, both models were able to adequately predict outcomes among smokers, however, both models had substantially less predictive ability among never smokers. This indicates that previously identified risk prediction models have little utility among never smokers and that additional determinants of increased risk or susceptibility must still be identified among this group. Identification of these new factors among never smokers has been difficult due to the small numbers of never smoking cases in studies to date. With the development of large-scale collaborations and consortia [55], it will become possible for much more detailed risk models to be evaluated among larger populations of never smokers, leading ultimately to improved risk prediction and understanding of lung cancer etiology among never smokers.

This study mainly assessed environmental risk factors for the development of lung cancer in never smokers. It is now clear that the molecular pathogenesis of lung cancer in smokers and non-smokers is different, with a higher proportion of adenocarincoma observed among never smoking cases. Recent studies have demonstrated that activating mutations in the EGFR tyrosine kinase domain occur much more frequently in lung cancers in non and never smoking patients. Furthermore, these mutations are found significantly more often in adenocarcinomas, women, and individuals of Asian origin where the mutation rate can reach 60% in patients with these characteristics [56]. These characteristics were all significantly higher in our never smoking subset. Unfortunately, we do not have adequate tissue samples to assess mutation status in our cases, but studies of the interaction between EGFR mutations and environmental factors deserve further investigation.

Conclusion

In conclusion, occupational exposures displayed the strongest associations with increased lung cancer risk among never smokers in this study. Further understanding of the role of these factors in lung cancer etiology may ultimately lead to improved lung cancer prevention strategies for the whole population.

Declarations

Acknowledgements

The authors gratefully acknowledge the collaboration of Drs. A. Bezjak, R. Burke, G. Darling, R. Feld, A. Gordon, D. Jones, D. Payne, J. Ringash, T. Rohan, E. Spratt, R. Tyndale, D. Vespirini, Y. Ung; the support of Mount Sinai Hospital, Princess Margaret Hospital, Sunnybrook & Women's College Health Sciences Centre, St. Joseph's Hospital, the University Health Network, and the Yee Hong Medical Centre; and the assistance of T. Chan, I. Fan, M. Kebabdjian, G. Manca, C. Neglia, T. Oh, S. Farooq, K. Scott, N. Sheikh, A. Vasilopoulos, E. Weinroth, H. White and K. Yoong. This work was funded through a grant from the National Cancer Institute of Canada with funds from the Canadian Cancer Society (NCIC # 8046); JRM was supported as an Investigator of the Canadian Institute for Health Research.

The study was also supported by a Canadian Cancer Society Research Institute grant (no. 020214). DB holds a CIHR Canada Graduate Scholarship.

Authors’ Affiliations

(1)
Prosserman Centre for Health Research, Samuel Lunenfeld Research Institute
(2)
Dalla Lana School of Public Health, University of Toronto
(3)
Faculty of Medicine, University of Toronto
(4)
Princess Margaret Hospital
(5)
Women's College Health Research Institute
(6)
Mount Sinai Hospital Family Medicine Clinic
(7)
Population Studies and Surveillance, Cancer Care Ontario

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