An Estimate of Cancers Attributable to Occupational Exposures in France

Boffetta, Paolo; Autier, Philippe; Boniol, Mathieu; Boyle, Peter; Hill, Catherine; Aurengo, André; Massé, R.; Valleron, Alain‐Jacques; Monier, R.; Tubiana, M

doi:10.1097/jom.0b013e3181d5e355

Cited by 74 publications

(32 citation statements)

References 29 publications

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“…Occupational exposures are the second major risk factor for lung cancer, and the attributable risk fraction is approximately 15% to 30% in men and 3 to 6% in women [13]. However, the occupational lung carcinogens that have been identified thus far are found almost exclusively in male occupations (e.g., building, metallurgy, mining).…”

Section: Introductionmentioning

confidence: 99%

Women Epidemiology Lung Cancer (WELCA) study: reproductive, hormonal, occupational risk factors and biobank

et al. 2017

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BackgroundLung cancer aetiology and clinical aspects have been mainly studied in men, although specific risk factors probably exist in women. Here we present the rationale, design and organization of the WELCA study (Women Epidemiology Lung CAncer) that has been launched to investigate lung cancer in women, focusing particularly on hormonal and occupational factors.Methods/DesignWELCA is a population based case-control study and planned to recruit 1000 cases and 1000 controls in three years, based on study power calculation. Eligible cases are female patients newly diagnosed with lung cancer, living in Paris and the Ile de France area and aged up to 75 years. Almost all Parisian pneumology and oncology clinical departments are involved. The control group is a random sample of the population living in the same area, frequency-matched on age and additionally stratified on the distribution of socio-professional categories of women residing there. After acquisition of written consent, research nurses administer standardized computer assisted questionnaires to all the subjects in face-to-face interviews and acquire anthropometric measures. Besides usual socio-demographic characteristics, information is gathered about menstrual and reproductive factors, hormonal treatments, lifestyle and leisure characteristics, occupational history, personal and familial medical history. Biological samples are also collected, in order to establish a biobank for molecular epidemiology studies. Molecular characteristics of the tumours will be obtained and patients will be followed up for five years.DiscussionThe WELCA study aims to answer key questions in lung cancer aetiology and clinical characteristics specifically in women. The role of hormonal impregnation is investigated, and the interactions with cigarette smoking or body mass index (BMI) will be analyzed in detail. The occupational history of the subjects is carefully reconstructed, focusing in particular on the service sector. The creation of a biobank for collection of serum, plasma, DNA and tumour tissue will allow the genetic and biochemical characterization of both the subjets and the tumours. The follow-up of the patients will help in disentangling the role of hormonal factors and tumour molecular characteristics in survival.

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Section: Introductionmentioning

confidence: 99%

Women Epidemiology Lung Cancer (WELCA) study: reproductive, hormonal, occupational risk factors and biobank

et al. 2017

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“…Industrial Health 2013, 51, [128][129][130][131][132][133] Original Article Goodman 3) , which are based on meta-analysis of cohort studies, as in French 4) and UK 5) studies. World Health…”

confidence: 99%

Variations of Lung Cancer Risk from Asbestos Exposure: Impact on Estimation of Population Attributable Fraction

et al. 2013

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The purpose of this study is to investigate the potential impact of differing lung cancer risks in study populations on estimating population attributable fraction (PAF) from asbestos exposure. Studies were identified via a MEDLINE search up to September 2009 and from the reference lists of publications about asbestos exposure and lung cancer risk. Relative risk estimates were extracted from 160 studies and meta-relative risks were calculated according to randomeffect models. Hypothetical PAFs were calculated based on the meta results and on the difference exposure scenarios. The risks for lung cancer from asbestos exposure were variable according to the region as well as other study characteristics. The risk estimates proved higher in Asian countries (RR=3.53), in studies with 500 or fewer subjects (RR=2.26), and papers published in the 1990s or earlier (RR=1.91), than did those for European or North American countries, studies with more than 500 subjects, and papers published in the 2000s, respectively. The differences in PAFs between Asian and North American studies were 15.5%, 30.3%, and 36.2% when the exposure prevalence was 10%, 30%, and 50%, respectively. This study suggested that it is important to apply appropriate lung cancer estimates to each study population when calculating PAF from asbestos exposure.

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“…We used a PAR of 11.6% estimated from a Dutch case–cohort study 7. Although this estimate appears to be reasonable compared with other studies, higher and lower PARs have also been reported 5 6 32 33. A systematic review of asbestos-related cancer in Europe estimated the PAR to be between 5.7% and 19% 32.…”

Section: Discussionmentioning

confidence: 99%

Expected number of asbestos-related lung cancers in the Netherlands in the next two decades: a comparison of methods

et al. 2016

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An Estimate of Cancers Attributable to Occupational Exposures in France

Abstract: Our estimates are comparable with those obtained for other countries in studies based on similar methodology.

Cited by 74 publications

References 29 publications

Women Epidemiology Lung Cancer (WELCA) study: reproductive, hormonal, occupational risk factors and biobank

Women Epidemiology Lung Cancer (WELCA) study: reproductive, hormonal, occupational risk factors and biobank

Variations of Lung Cancer Risk from Asbestos Exposure: Impact on Estimation of Population Attributable Fraction

Expected number of asbestos-related lung cancers in the Netherlands in the next two decades: a comparison of methods

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