Zum Inhalt

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

  • Open Access
  • 01.12.2010
  • Research article
Erschienen in:

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.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

DB carried out the analysis and drafted the manuscript. RH assisted in drafting of the manuscript and provided critical revision. MT aided in the design of the study and data collection. FS aided in the design of the study and data collection and provided critical revision of the manuscript. MJ aided in the design of the study and data collection. SN aided in the design of the study and data collection. WR aided in the design of the study and data collection. JM led the study design and data collection and coordinated the drafting of the manuscript while providing critical revision. All authors read and approved the final manuscript.

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.

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.
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

DB carried out the analysis and drafted the manuscript. RH assisted in drafting of the manuscript and provided critical revision. MT aided in the design of the study and data collection. FS aided in the design of the study and data collection and provided critical revision of the manuscript. MJ aided in the design of the study and data collection. SN aided in the design of the study and data collection. WR aided in the design of the study and data collection. JM led the study design and data collection and coordinated the drafting of the manuscript while providing critical revision. All authors read and approved the final manuscript.
Download
Titel
Lung cancer risk in never-smokers: a population-based case-control study of epidemiologic risk factors
Verfasst von
Darren R Brenner
Rayjean J Hung
Ming-Sound Tsao
Frances A Shepherd
Michael R Johnston
Steven Narod
Warren Rubenstein
John R McLaughlin
Publikationsdatum
01.12.2010
Verlag
BioMed Central
Erschienen in
BMC Cancer / Ausgabe 1/2010
Elektronische ISSN: 1471-2407
DOI
https://doi.org/10.1186/1471-2407-10-285
1.
Zurück zum Zitat Canadian Cancer Society's Steering Committee: Canadian Cancer Statistics 2009. 2009, Toronto: Canadian Cancer Society
2.
Zurück zum Zitat Daff ME, Doll R, Kennaway EL: Cancer of the lung in relation to tobacco. Br J Cancer. 1951, 5 (1): 1-20.CrossRefPubMedPubMedCentral
3.
Zurück zum Zitat Doll R, Peto R, Wheatley K, Gray R, Sutherland I: Mortality in relation to smoking: 40 years' observations on male British doctors. Bmj. 1994, 309 (6959): 901-911.CrossRefPubMedPubMedCentral
4.
Zurück zum Zitat Tobacco Smoke and Involuntary Smoking. 2004, Lyon, France: IARC Press, 83:
5.
Zurück zum Zitat Baron J, Rohan TE: Tobacco. Cancer epidemiology and Prevention. Edited by: Schottenfeld D, Fraumeni JF. 1996, New York, NY: Oxford University Press, 2
6.
Zurück zum Zitat Hackshaw AK, Law MR, Wald NJ: The accumulated evidence on lung cancer and environmental tobacco smoke. Bmj. 1997, 315 (7114): 980-988.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Subramanian J, Govindan R: Lung cancer in never smokers: a review. J Clin Oncol. 2007, 25 (5): 561-570. 10.1200/JCO.2006.06.8015.CrossRefPubMed
8.
Zurück zum Zitat Sun S, Schiller JH, Gazdar AF: Lung cancer in never smokers--a different disease. Nat Rev Cancer. 2007, 7 (10): 778-790. 10.1038/nrc2190.CrossRefPubMed
9.
Zurück zum Zitat World Health Organization: International Classification of Diseases for Oncology - 3. 2000, Geneva, WHO
10.
Zurück zum Zitat Spitz MR, Hong WK, Amos CI, Wu X, Schabath MB, Dong Q, Shete S, Etzel CJ: A risk model for prediction of lung cancer. J Natl Cancer Inst. 2007, 99 (9): 715-726. 10.1093/jnci/djk153.CrossRefPubMed
11.
Zurück zum Zitat Cassidy A, Myles JP, van Tongeren M, Page RD, Liloglou T, Duffy SW, Field JK: The LLP risk model: an individual risk prediction model for lung cancer. Br J Cancer. 2008, 98 (2): 270-276. 10.1038/sj.bjc.6604158.CrossRefPubMed
12.
Zurück zum Zitat Lemeshow S, Hosmer DW: A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol. 1982, 115 (1): 92-106.PubMed
13.
Zurück zum Zitat Neuberger JS, Field RW: Occupation and lung cancer in nonsmokers. Rev Environ Health. 2003, 18 (4): 251-267.CrossRefPubMed
14.
Zurück zum Zitat Lipsett M, Campleman S: Occupational exposure to diesel exhaust and lung cancer: a meta-analysis. Am J Public Health. 1999, 89 (7): 1009-1017. 10.2105/AJPH.89.7.1009.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Parent ME, Rousseau MC, Boffetta P, Cohen A, Siemiatycki J: Exposure to diesel and gasoline engine emissions and the risk of lung cancer. Am J Epidemiol. 2007, 165 (1): 53-62. 10.1093/aje/kwj343.CrossRefPubMed
16.
Zurück zum Zitat Lloyd JW: Long-term mortality study of steelworkers. V. Respiratory cancer in coke plant workers. J Occup Med. 1971, 13 (2): 53-68. 10.1097/00043764-197102000-00001.CrossRefPubMed
17.
Zurück zum Zitat Doll R, Fisher RE, Gammon EJ, Gunn W, Hughes GO, Tyrer FH, Wilson W: Mortality of Gasworkers with Special Reference to Cancers of the Lung and Bladder, Chronic Bronchitis, and Pneumoconiosis. Br J Ind Med. 1965, 22: 1-12.PubMedPubMedCentral
18.
Zurück zum Zitat Zeka A, Mannetje A, Zaridze D, Szeszenia-Dabrowska N, Rudnai P, Lissowska J, Fabianova E, Mates D, Bencko V, Navratilova M, et al: Lung cancer and occupation in nonsmokers: a multicenter case-control study in Europe. Epidemiology. 2006, 17 (6): 615-623. 10.1097/01.ede.0000239582.92495.b5.CrossRefPubMed
19.
Zurück zum Zitat Stockwell HG, Matanoski GM: A case-control study of lung cancer in painters. J Occup Med. 1985, 27 (2): 125-126.PubMed
20.
Zurück zum Zitat Lerchen ML, Wiggins CL, Samet JM: Lung cancer and occupation in New Mexico. J Natl Cancer Inst. 1987, 79 (4): 639-645.PubMed
21.
Zurück zum Zitat Muscat JE, Stellman SD, Richie JP, Wynder EL: Lung cancer risk and workplace exposures in black men and women. Environ Res. 1998, 76 (2): 78-84. 10.1006/enrs.1997.3787.CrossRefPubMed
22.
Zurück zum Zitat Chen R, Seaton A: A meta-analysis of painting exposure and cancer mortality. Cancer Detect Prev. 1998, 22 (6): 533-539. 10.1046/j.1525-1500.1998.00A47.x.CrossRefPubMed
23.
Zurück zum Zitat IARC Monographs programme on the evaluation of the carcinogenic risk of chemicals to humans. Preamble. IARC Monogr Eval Carcinog Risk Chem Hum. 1986, 39: 13-32.
24.
Zurück zum Zitat Ambroise D, Wild P, Moulin JJ: Update of a meta-analysis on lung cancer and welding. Scand J Work Environ Health. 2006, 32 (1): 22-31.CrossRefPubMed
25.
Zurück zum Zitat Jayaprakash V, Natarajan KK, Moysich KB, Rigual NR, Ramnath N, Natarajan N, Reid ME: Wood Dust Exposure and the Risk of Upper Aero-Digestive and Respiratory Cancers in Males. Occup Environ Med. 2008, 65 (10): 647-54. 10.1136/oem.2007.036210.CrossRefPubMed
26.
Zurück zum Zitat Baran S, Teul I: Wood dust: an occupational hazard which increases the risk of respiratory disease. J Physiol Pharmacol. 2007, 58 (Suppl 5 Pt 1): 43-50.PubMed
27.
Zurück zum Zitat Barcenas CH, Delclos GL, El-Zein R, Tortolero-Luna G, Whitehead LW, Spitz MR: Wood dust exposure and the association with lung cancer risk. Am J Ind Med. 2005, 47 (4): 349-357. 10.1002/ajim.20137.CrossRefPubMed
28.
Zurück zum Zitat Hillerdal G, Henderson DW: Asbestos, asbestosis, pleural plaques and lung cancer. Scand J Work Environ Health. 1997, 23 (2): 93-103.CrossRefPubMed
29.
Zurück zum Zitat Gustavsson P, Nyberg F, Pershagen G, Scheele P, Jakobsson R, Plato N: Low-dose exposure to asbestos and lung cancer: dose-response relations and interaction with smoking in a population-based case-referent study in Stockholm, Sweden. Am J Epidemiol. 2002, 155 (11): 1016-1022. 10.1093/aje/155.11.1016.CrossRefPubMed
30.
Zurück zum Zitat Neuberger JS, Mahnken JD, Mayo MS, Field RW: Risk factors for lung cancer in Iowa women: implications for prevention. Cancer Detect Prev. 2006, 30 (2): 158-167. 10.1016/j.cdp.2006.03.001.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Skillrud DM, Offord KP, Miller RD: Higher risk of lung cancer in chronic obstructive pulmonary disease. A prospective, matched, controlled study. Ann Intern Med. 1986, 105 (4): 503-507.CrossRefPubMed
32.
Zurück zum Zitat Mayne ST, Buenconsejo J, Janerich DT: Previous lung disease and risk of lung cancer among men and women nonsmokers. Am J Epidemiol. 1999, 149 (1): 13-20.CrossRefPubMed
33.
Zurück zum Zitat Samet JM, Humble CG, Pathak DR: Personal and family history of respiratory disease and lung cancer risk. Am Rev Respir Dis. 1986, 134 (3): 466-470.PubMed
34.
Zurück zum Zitat Alavanja MC, Brownson RC, Boice JD, Hock E: Preexisting lung disease and lung cancer among nonsmoking women. Am J Epidemiol. 1992, 136 (6): 623-632.PubMed
35.
Zurück zum Zitat Brenner AV, Wang Z, Kleinerman RA, Wang L, Zhang S, Metayer C, Chen K, Lei S, Cui H, Lubin JH: Previous pulmonary diseases and risk of lung cancer in Gansu Province, China. Int J Epidemiol. 2001, 30 (1): 118-124. 10.1093/ije/30.1.118.CrossRefPubMed
36.
Zurück zum Zitat Wu AH, Fontham ET, Reynolds P, Greenberg RS, Buffler P, Liff J, Boyd P, Henderson BE, Correa P: Previous lung disease and risk of lung cancer among lifetime nonsmoking women in the United States. Am J Epidemiol. 1995, 141 (11): 1023-1032.PubMed
37.
Zurück zum Zitat Talbot-Smith A, Fritschi L, Divitini ML, Mallon DF, Knuiman MW: Allergy, atopy, and cancer: a prospective study of the 1981 Busselton cohort. Am J Epidemiol. 2003, 157 (7): 606-612. 10.1093/aje/kwg020.CrossRefPubMed
38.
Zurück zum Zitat Osann KE, Lowery JT, Schell MJ: Small cell lung cancer in women: risk associated with smoking, prior respiratory disease, and occupation. Lung Cancer. 2000, 28 (1): 1-10. 10.1016/S0169-5002(99)00106-3.CrossRefPubMed
39.
Zurück zum Zitat Santillan AA, Camargo CA, Colditz GA: A meta-analysis of asthma and risk of lung cancer (United States). Cancer Causes Control. 2003, 14 (4): 327-334. 10.1023/A:1023982402137.CrossRefPubMed
40.
Zurück zum Zitat Boffett P, Ye W, Boman Nyren: Lung cancer risk in a population-based cohort of patients hospitalized for asthma in Sweden. Eur Respir J. 2002, 19 (1): 127-133. 10.1183/09031936.02.00245802.CrossRef
41.
Zurück zum Zitat Ramanakumar AV, Parent ME, Menzies D, Siemiatycki J: Risk of lung cancer following nonmalignant respiratory conditions: evidence from two case-control studies in Montreal, Canada. Lung Cancer. 2006, 53 (1): 5-12. 10.1016/j.lungcan.2006.04.007.CrossRefPubMed
42.
Zurück zum Zitat O'Byrne KJ, Dalgleish AG: Chronic immune activation and inflammation as the cause of malignancy. Br J Cancer. 2001, 85 (4): 473-483. 10.1054/bjoc.2001.1943.CrossRefPubMedPubMedCentral
43.
Zurück zum Zitat Seow A, Ng DP, Choo S, Eng P, Poh WT, Ming T, Wang YT: Joint effect of asthma/atopy and an IL-6 gene polymorphism on lung cancer risk among lifetime non-smoking Chinese women. Carcinogenesis. 2006, 27 (6): 1240-1244. 10.1093/carcin/bgi309.CrossRefPubMed
44.
Zurück zum Zitat Bauer AK, Malkinson AM, Kleeberger SR: Susceptibility to neoplastic and non-neoplastic pulmonary diseases in mice: genetic similarities. Am J Physiol Lung Cell Mol Physiol. 2004, 287 (4): L685-703. 10.1152/ajplung.00223.2003.CrossRefPubMed
45.
Zurück zum Zitat Schabath MB, Delclos GL, Martynowicz MM, Greisinger AJ, Lu C, Wu X, Spitz MR: Opposing effects of emphysema, hay fever, and select genetic variants on lung cancer risk. Am J Epidemiol. 2005, 161 (5): 412-422. 10.1093/aje/kwi063.CrossRefPubMed
46.
Zurück zum Zitat Suzuki K, Ito Y, Wakai K, Kawado M, Hashimoto S, Seki N, Ando M, Nishino Y, Kondo T, Watanabe Y, et al: Serum heat shock protein 70 levels and lung cancer risk: a case-control study nested in a large cohort study. Cancer Epidemiol Biomarkers Prev. 2006, 15 (9): 1733-1737. 10.1158/1055-9965.EPI-06-0005.CrossRefPubMed
47.
Zurück zum Zitat Yang P, Wentzlaff KA, Katzmann JA, Marks RS, Allen MS, Lesnick TG, Lindor NM, Myers JL, Wiegert E, Midthun DE, et al: Alpha1-antitrypsin deficiency allele carriers among lung cancer patients. Cancer Epidemiol Biomarkers Prev. 1999, 8 (5): 461-465.PubMed
48.
Zurück zum Zitat Ohshima H, Bartsch H: Chronic infections and inflammatory processes as cancer risk factors: possible role of nitric oxide in carcinogenesis. Mutat Res. 1994, 305 (2): 253-264.CrossRefPubMed
49.
Zurück zum Zitat Zheng W, Blot WJ, Liao ML, Wang ZX, Levin LI, Zhao JJ, Fraumeni JF, Gao YT: Lung cancer and prior tuberculosis infection in Shanghai. Br J Cancer. 1987, 56 (4): 501-504.CrossRefPubMedPubMedCentral
50.
Zurück zum Zitat Madri JA, Carter D: Scar cancers of the lung: origin and significance. Hum Pathol. 1984, 15 (7): 625-631. 10.1016/S0046-8177(84)80286-5.CrossRefPubMed
51.
Zurück zum Zitat Xie L, Ugnat AM, Morriss J, Semenciw R, Mao Y: Histology-related variation in the treatment and survival of patients with lung carcinoma in Canada. Lung Cancer. 2003, 42 (2): 127-139. 10.1016/S0169-5002(03)00283-6.CrossRefPubMed
52.
Zurück zum Zitat Boffetta P, Ye W, Boman Nyren: Lung cancer risk in a population-based cohort of patients hospitalized for asthma in Sweden. Eur Respir J. 2002, 19 (1): 127-133. 10.1183/09031936.02.00245802.CrossRefPubMed
53.
Zurück zum Zitat Boffetta P: Involuntary smoking and lung cancer. Scand J Work Environ Health. 2002, 28 (Suppl 2): 30-40.PubMed
54.
Zurück zum Zitat Lee PN: Difficulties in assessing the relationship between passive smoking and lung cancer. Stat Methods Med Res. 1998, 7 (2): 137-163. 10.1191/096228098669795194.CrossRefPubMed
55.
Zurück zum Zitat Hung RJ, Christiani DC, Risch A, Popanda O, Haugen A, Zienolddiny S, Benhamou S, Bouchardy C, Lan Q, Spitz MR, et al: International Lung Cancer Consortium: pooled analysis of sequence variants in DNA repair and cell cycle pathways. Cancer Epidemiol Biomarkers Prev. 2008, 17 (11): 3081-3089. 10.1158/1055-9965.EPI-08-0411.CrossRefPubMedPubMedCentral
56.
Zurück zum Zitat Mok TS, Wu YL, Thongprasert S, Yang CH, Chu DT, Saijo N, Sunpaweravong P, Han B, Margono B, Ichinose Y, et al: Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma. N Engl J Med. 2009, 361 (10): 947-957. 10.1056/NEJMoa0810699.CrossRefPubMed
Zurück zum Zitat The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/10/285/prepub

Neu im Fachgebiet Onkologie

Stellenwert der Neoadjuvanz beim lokal fortgeschrittenen kolorektalen Karzinom

Mit der NeoCol-Studie ist nun die dritte randomisierte kontrollierte Studie zur neoadjuvanten Therapie des lokal fortgeschrittenen CRC ohne Vorteil für das krankheitsfreie Überleben verlaufen. Und dennoch ruhen auf dem Ansatz weiter Hoffnungen.

Arbeitsvertrag für angestellte Ärztinnen und Ärzte: Das gilt bei Fortbildungen, Überstunden und Boni

Immer mehr Ärztinnen und Ärzte arbeiten angestellt in Praxen bzw. MVZ. Was im Arbeitsvertrag geklärt werden kann und sollte und wo Risiken liegen, erklärt Medizin- und Arbeitsrechtlerin Gabriele Leucht.

Wird die Therapie bei inflammatorischem Brustkrebs voreilig deeskaliert?

Die Prognose beim inflammatorischen Mammakarzinom bleibt ungünstig, wie eine Analyse von US-Registerdaten nahelegt. Ein weiteres Problem ist demnach, dass zunehmend weniger Frauen die leitliniengerechte trimodale Therapie erhalten. 

Fokale Salvage-Therapie bei lokalem Prostatakrebsrezidiv langfristig wirksam

Bei einem nach Radiotherapie lokal rezidivierten Prostatakarzinom sind fokale Salvage-Therapien mit einer guten Prognose verbunden: Das krebsspezifische Zehn-Jahres-Überleben ist einem retrospektiven Vergleich zufolge ebenso hoch wie nach Salvage-Prostatektomie.

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Bildnachweise
Inflammatorisches Mammakarzinom/© Springer Medizin Verlag GmbH