# Occupational exposure to organic solvents and risk of male breast cancer: a European multicenter case-control study

Nasser Laoulali, Corinne Pilorget, Diane Cyr, Monica Neri, Linda Kaerlev, Svend Sabroe, Giuseppe Gorini, Lorenzo Richiardi, Maria Morales-Suarez-Varela, Agustin Llopis-Gonzalez, et al.

<figure><img src="image_1.png" /></figure>

## To cite this version:

Nasser Laoulali, Corinne Pilorget, Diane Cyr, Monica Neri, Linda Kaerlev, et al. Occupational exposure to organic solvents and risk of male breast cancer: a European multicenter case-control study. Scandinavian Journal of Work, Environment and Health, 2018, 44 (3), pp. 310-322. 10.5271/sjweh.3717. hal-02051513

HAL Id: hal-02051513

https://hal.science/hal-02051513

Submitted on 20 May 2021

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

<figure><img src="image_2.png" /></figure>

Distributed under a Creative Commons Attribution 4.0 International License
<figure><img src="image_3.png" /></figure>

**Original article**

Scand J Work Environ Health Online-first -article

doi:10.5271/sjweh.3717

**Occupational exposure to organic solvents and risk of male breast cancer: a European multicenter case-control study**

by Laouali N, Pilorget C, Cyr D, Neri M, Kaerlev L, Sabroe S, Gorini G, Richiardi L, Morales-Suárez-Varela M, Llopis-Gonzalez A, Ahrens W, Jöckel K-H, Afonso N, Eriksson M, Merletti F, Olsen J, Lynge E, Guénel P

Exposure to organic solvents is suspected to increase breast cancer risk, but previous epidemiological studies have often been restricted to women who are generally less exposed than men). In our data, high occupational exposure to trichloroethylene was associated with a doubling of odds ratio of male breast cancer and a dose-response trend. A possible role for benzene and ethylene glycol was also suggested.

**Affiliation:** Center for research in Epidemiology and Population Health (CESP), Inserm U1018, 16 avenue Paul Vaillant-Couturier, 94807 Villejuif Cedex, France. pascal.guenel@inserm.fr

Refers to the following text of the Journal: 1999;25(3):0

**Key terms:** alcoholic solvent; benzene; breast cancer; case-control study; case-control study; chlorinated solvent; ethylene glycol; European; JEM; job-exposure matrix; male breast cancer; multicenter case-control study; occupational exposure; organic solvent; petroleum solvent; trichloroethylene

**Additional material**

Please note that there is additional material available belonging to this article on the [Scandinavian Journal of Work, Environment & Health](https://www.sjweh.fi) -website.

<figure><img src="image_4.png" /></figure>

This work is licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
# Occupational exposure to organic solvents and risk of male breast cancer: a European multicenter case-control study

by Nasser Laouali, MSc,<fnref n="1" /> Corinne Pilorget, PhD,<fnref n="2" />,<fnref n="3" /> Diane Cyr, MSc,<fnref n="4" /> Monica Neri, PhD,<fnref n="1" /> Linda Kaerlev, PhD,<fnref n="5" />,<fnref n="6" /> Svend Sabroe, PhD,<fnref n="7" /> Giuseppe Gorini, PhD,<fnref n="8" /> Lorenzo Richiardi, PhD,<fnref n="9" /> Maria Morales-Suárez-Varela, PhD,<fnref n="10" />,<fnref n="11" /> Agustin Llopis-Gonzalez, PhD,<fnref n="10" />,<fnref n="11" /> Wolfgang Ahrens, PhD,<fnref n="12" /> Karl-Heinz Jöckel, PhD,<fnref n="13" /> Noemia Afonso, MD, PhD,<fnref n="14" /> Mikael Eriksson, PhD,<fnref n="15" /> Franco Merletti, PhD,<fnref n="9" /> Jørn Olsen, PhD,<fnref n="7" /> Elsebeth Lynge, PhD,<fnref n="16" /> Pascal Guénel, MD, PhD <fnref n="1" />,<fnref n="2" />

Laouali N, Pilorget C, Cyr D, Neri M, Kaerlev L, Sabroe S, Gorini G, Richiardi L, Morales-Suárez-Varela M, Llopis-Gonzalez A, Ahrens W, Jöckel K-H, Afonso N, Eriksson M, Merletti F, Olsen J, Lynge E, Guénel P. Occupational exposure to organic solvents and risk of male breast cancer: a European multicenter case-control study. *Scand J Work Environ Health* – online first. doi:10.5271/sjweh.3717

**Objectives** The etiology of male breast cancer (MBC) is largely unknown but a causal role of exposure to organic solvents has been suggested. Previous studies on occupational risk factors of breast cancer were often restricted to women who are frequently exposed to lower levels and at a lower frequency than men. We investigated the association between MBC and occupational exposure to petroleum and oxygenated and chlorinated solvents in a multicenter case-control study of rare cancers in Europe.

**Methods** The study included 104 MBC cases and 1901 controls. Detailed lifetime work history was obtained during interviews, together with sociodemographic characteristics, medical history and lifestyle factors. Occupational exposures to solvents were estimated from a job-exposure matrix. Odds ratios (OR) and their 95% confidence intervals (CI) were calculated using unconditional logistic regression models.

**Results** Lifetime cumulative exposure to trichloroethylene >23.9 ppm years was associated with an increased MBC risk, compared to non-exposure [OR (95% CI): 2.1 (1.2–4.0); P trend <0.01]. This increase in risk persisted when only exposures that occurred ≥10 years before diagnosis were considered. In addition, a possible role for benzene and ethylene glycol in MBC risk was suggested, but no exposure-response trend was observed.

**Conclusions** These findings add to the evidence of an increased risk of breast cancer among men professionally exposed to trichloroethylene and possibly to benzene or ethylene glycol. Further studies should be conducted in populations with high level of exposure to confirm our results.

**Key terms** alcoholic solvent; benzene; chlorinated solvent; ethylene glycol; JEM; job-exposure matrix; petroleum solvent; trichloroethylene.

<footnote n="1">¹ Center for research in Epidemiology and Population Health (CESP) – Cancer and Environment Team – Inserm UMR 1018 – Université Paris-Sud – UVSQ - Université Paris-Saclay - Villejuif, France.</footnote>

<footnote n="2">² Santé Publique France, National Agency for Public Health, Occupational Health Department, Saint-Maurice, France.</footnote>

<footnote n="3">³ Claude Bernard Lyon University, Epidemiological research and surveillance unit in transport, occupation and environment, Lyon, France.</footnote>

<footnote n="4">⁴ Population-based Epidemiologic Cohorts Unit, Inserm, Villejuif, France.</footnote>

<footnote n="5">⁵ Research Unit of Clinical Epidemiology, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.</footnote>

<footnote n="6">⁶ Center for Clinical Epidemiology, Odense University Hospital, Odense, Denmark.</footnote>

<footnote n="7">⁷ Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark.</footnote>

<footnote n="8">⁸ Occupational & Environmental Epidemiology Section, Cancer Research & Prevention Institute (ISPO), Florence, Italy.</footnote>

<footnote n="9">⁹ Department of Medical Sciences, University of Turin, Turin, Italy.</footnote>

<footnote n="10">¹⁰ Unit of Public Health and Environmental Care, Department of Preventive Medicine, University of Valencia, Burjassot, Valencia, Spain.</footnote>

<footnote n="11">¹¹ CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain.</footnote>

<footnote n="12">¹² Institute for Prevention Research and Epidemiology; BIPS-Institute for Epidemiology and Prevention Research GmbH, Bremen, Germany.</footnote>

<footnote n="13">¹³ Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.</footnote>

<footnote n="14">¹⁴ Centro Hospitalar do Porto, Porto, Portugal.</footnote>

<footnote n="15">¹⁵ Department of Oncology, Skane University Hospital, Lund, Sweden.</footnote>

<footnote n="16">¹⁶ Department of Public Health, University of Copenhagen, Copenhagen, Denmark.</footnote>

<footnote>Correspondence to: Pascal Guénel, MD, PhD, CESP Inserm U1018, 16 avenue Paul Vaillant-Couturier, 94807 Villejuif Cedex, France. [E-mail: pascal.guenel@inserm.fr]</footnote>
Breast cancer is the most frequent cancer among women, with over 1.6 million new cases in 2012 across the world (1), but it is a rare disease among men, accounting for <1% of all breast cancers (2). Risk factors related to hormones and reproduction are well-established causes of female breast cancer, but the etiology of male breast cancer (MBC) is largely unknown (3). However, the clinical features of MBC are often similar to those of the late-onset type of female breast tumors (4), suggesting that these two conditions may share some risk factors. The risk factors for MBC that have been investigated so far include genetics (family history of breast cancer, mutations in *BRCA2* or *CHEK2*), conditions associated with an abnormal estrogen-to-androgen ratio (Klinefelter's syndrome, obesity, orchitis, infertility, exogenous estrogen or testosterone use), and lifestyle (lack of physical activity, alcohol consumption) (3, 5, 6).

Environmental and occupational factors are also suspected to play a role in the etiology of breast cancer in both sexes (7, 8). Solvents are ubiquitous chemicals in occupational settings. They have retained particular attention because they are highly lipophilic compounds that can accumulate in the adipose tissue of the breast and initiate or promote carcinogenesis through genotoxic mechanisms (9). Because of the high proliferative activity of epithelial cells of the mammary gland and susceptibility to chemical carcinogens, mammary terminal duct lobular units are likely target tissues for tumorigenesis (10). Animal studies have provided strong evidence for an association between organic solvents and breast cancer (11), and the International Agency for Research on Cancer (IARC) has recognized solvents such as benzene and trichloroethylene (TCE) as known human carcinogens. However, there are limited data on solvents as human breast carcinogens (12, 13).

The major families of solvents used in the work places include petroleum, chlorinated and oxygenated solvents. Petroleum solvents consist of fuel and organic solvents produced by oil refining. The main petroleum solvent, benzene, was initially used as industrial solvent, eg, to degrease metals, besides being a constituent of gasoline. The toxicity of benzene has largely been proven in leukaemia risk (14). Its use has now been restricted as an intermediate for the synthesis of other chemicals. Chlorinated solvents including TCE, perchloroethylene or methylene chloride, are usually used as solvents in paints, paint removers or resines, chemical intermediates for pesticide synthesis, in dry-cleaning and in the steel industry. Most of them have been used as solvents in place of benzene. Oxygenated solvents include alcohols, ketones, esters, ethylene glycol, or tetrahydrofurans and are widely used in the paint, ink, pharmaceutical, fragrance, adhesive, cosmetic, detergent, or food industries. Ethylene glycol, in particular, is used as a sterilizing agent for medical equipment and supplies.

A limited number of epidemiological studies have investigated the role of organic solvents in female breast cancer, and the increases were either small or inconsistent (15–22). Only two studies have considered MBC in relation to occupational exposure to solvents (23, 24). Because occupational exposures to many chemicals, including solvents, are usually present in jobs mostly held by men (eg, mechanics or painters), studies among men with higher prevalence of exposure than women and less competing risk factors (eg, hormonal and reproductive factors) may facilitate the detection of an association between exposure to solvents and breast cancer, despite the rarity of the disease in men.

In a previous paper based on data from a European case-control study on rare cancers including 104 cases of MBC (25), we reported that motor vehicle mechanics and painters with probable exposure to organic solvents had a two- to threefold increased risk of MBC. To further evaluate the hypothesis that organic solvents increases the incidence of MBC, we specifically assessed lifetime occupational exposure to organic solvents by solvent subtype using a detailed job exposure matrix (JEM) (26).

## Methods

We conducted a European multi-center retrospective case-control study on occupational risk factors of seven rare cancer sites (gallbladder and extra-hepatic bile ducts, small intestine, bone, eye melanoma, mycosis fungoides, and male breast). Cases and controls were recruited from selected areas of eight European countries (Denmark, France, Germany, Italy, Latvia, Portugal, Spain and Sweden) representing a source population of 37 million people. The study design and the procedures of data collection have been described in detail earlier (25, 27) and are summarized below. The local ethics committees in each participating country approved the study.

## Recruitment of cases and controls

Men living in the study areas who were diagnosed with a breast cancer between 1995 and 1997, aged 35–70 years at diagnosis were eligible for inclusion in the study. This age range was based on the assumption that occupational exposures are not likely to be the cause of the disease in younger patients.

Case ascertainment was based on regular contacts with clinical and pathology departments and/or cancer registers in each study area. For each case, an expert pathologist reviewed the pathology report and, if possible, a representative histological slide of the tumor. In total, 122 MBC patients were eligible for the study from all the countries. Eighteen cases could not be included
because the doctor did not give permission to contact the patient or the patient refused to participate. Thus, 104 cases (85%) were interviewed and available for analysis.

The controls were selected randomly from population registers in Denmark, Italy, and Sweden, from electoral rolls in France and from municipality registers in Germany during the case recruitment period and were frequency-matched to the cases by gender, year of birth (5-year strata), and residence area. In countries where population controls were difficult to identify, colon and stomach cancer patients were regarded as appropriate alternatives to population controls, as no occupational exposure to organic solvents is suspected to play an important role in these cancers. Hospital-based cancer controls were selected randomly among incident colon cancer patients in Latvia and Spain, and among colon or stomach cancer patients in Portugal. The controls served as a common pool of controls for each of the seven groups of rare cancer cases included in the European study. The participation rate among male population controls was high in France (81%) and Italy (74%) but relatively low in Denmark, Germany, and Sweden (<60%). In countries using a hospital-based design, the participation rate among cancer controls was >95%. The overall participation rate among controls was 67%. For the present study, we selected only male controls sampled in study areas from which ≥1 MBC patient was included. Finally, 1901 male controls (1395 population controls and 506 cancer controls) were available for the analyses.

## Data collection

A structured questionnaire was first developed in English, and then translated into the language of each participating country. Back-translation to English was performed for quality control, and no major departure from the original version was observed. A trained interviewer administered this questionnaire face to face or by telephone and collected information on sociodemographic characteristics, previous medical conditions, lifestyle factors, anthropometric characteristics, alcohol and tobacco consumption, and detailed occupational activities in each job held for >6 months. For each occupational period, we recorded data on products and production processes, the year the job started and ended, job title, and working hours per week. The materials handled, chemical exposures, and occupations held by nearby workers were also recorded. The specific nature of the work was also addressed, such as work tasks, machines or products used, and duration of their use (hours per week). Specific questionnaires were also developed for 27 definite jobs or tasks, such as welding or painting.

## Exposure assessment

As previously described, trained coders coded the jobs

(28). Briefly, occupation was coded according to the International Standard Classification of Occupations of the International Labor Office (ISCO), 1968 revision, while industry was coded according to the Classification of Activities in the European Community (NACE), 1996 revision.

Occupational exposures to organic solvents were assessed using JEM developed at the Occupational Health Department of the French National Agency for Public Health (Santé Publique France) by experts in occupational hygiene (29, 30). Jobs were defined according to both the ISCO code and the Nomenclature d'Activité Française (NAF: Institut National de la Statistique et des Etudes Economiques, revision 1, 2003), subsequently converted to the European NACE code for the purpose of this study. Exposures to occupational hazards were assessed by job and calendar period to account for changes in exposures over time.

In the JEM, exposure to chlorinated solvents [TCE, perchloroethylene (tetrachloroethylene), methylene chloride (dichloromethane), chloroform (trichloromethane) and carbon tetrachloride], petroleum solvents [benzene, special boiling point spirits and other aliphatic petroleum-based solvents (SBP), gasoline, white spirits, and kerosene/diesel oil/fuel oils (KDF)] and to oxygenated solvents (alcohol, ketones/esters, diethyl ether, ethylene glycol and tetrahydrofuran) was determined for each job using semi-quantitative indicators for exposure probability (ie, proportion of exposed workers 0, 0–10, 10–20, … ≥90%), exposure frequency (eg, for petroleum solvents 1=<30%, 2=30–70%, 3= >70% of working hours) and exposure intensity [semi-quantitative exposure scores on the basis of literature review of occupational measurement data, for example, for benzene: 1=0.1–1 ppm, 2>1–5 ppm, 3=>5–15 ppm, and 4=>15 ppm].

Each job held by a case or a control included in the European study was assigned the exposure indices reported in the JEM. In order to improve specificity, exposure to a given solvent was assigned only to jobs whose probability of exposure according to the JEM was >10%, while the jobs below this cut-off were considered as non-exposed. A job-specific exposure score was then calculated as the result of the product of exposure probability, frequency and intensity, and duration of the job in years. An individual Cumulative Exposure Score (CES) was then calculated for each study subject as the sum of the job-specific exposure scores over his entire work history.

## Statistical analysis

The distributions of baseline characteristics of study population according to cases and controls status were expressed as means and standard deviation (SD) for con-
tinuous variables or number (percentage) for dichotomous variables. The CES was categorized into “not exposed” plus two classes of exposed workers, according to the median among the exposed controls. Regarding ethylene glycol and tetrahydrofuran, subjects were simply defined as “never or ever exposed” because of the small number of exposed workers. We could not estimate associations between MBC and exposure to perchloroethylene, carbon tetrachloride, chloroform and diethyl ether because no case of breast cancer was exposed to these solvents.

We conducted unconditional logistic regressions to estimate odds ratios (OR) and their 95% confidence intervals (95% CI) adjusting for age, country, alcohol intake in three categories (0-≥30; >30-≤60; >60 g/day), education in three categories (left school at age ≤18; professional training; university) and body mass index (BMI) in four categories (≤18.5, >18.5-≤25, >25-≤30 and >30 kg/m²) as these variables are potentially associated with both breast cancer and solvent exposure. We used three different models: model A where each solvent was included separately; model B where all solvents

where included simultaneously to control for potential confounding between exposures; model C using a step-wise multiple logistic regression method that allowed dropping and adding solvents at each step to identify independent predictors of MBC. F probabilities were used as stepping criteria: 0.05 was the entry cut-off and 0.10 was the removal cut-off (31).

All analyses were performed using Statistical Analysis Systems (SAS) software, version 9.3 (SAS Institute, Inc, Cary, NC, USA).

## Results

The main characteristics of cases (N=104) and controls (N=1901) are presented in table 1. Compared to controls, cases tended to be older and have a lower education level. The BMI and the mean number of jobs did not differ significantly. An elevated consumption of alcohol >60 g/day was associated with a 2.6 increased risk of MBC, as reported in a previous paper (5).

The proportion of men ever exposed to organic solvent of any kind was higher among cases than among controls (table 2). As regards the most common exposures, 44% of the cases and 32% of the controls had been exposed to TCE, 30% and 20% respectively to white spirits, 21% and 17% to KDF, 21% and 9% to benzene. Each of the other exposures accounted for ≤10% of cases and controls. Each subject was typically exposed to more than one substance. For example, 144 subjects had been exposed to both benzene and TCE, a number that repre-

<table><caption>**Table 1.** Comparison of cases and controls by selected characteristics (European study on male breast cancer) [BMI=body mass index; CI=confidence interval; SD=standard deviation]</caption><thead><tr><th rowspan="2"></th><th colspan="2">Cases (N=104)</th><th colspan="2">Controls (N=1901)</th><th rowspan="2">OR <sup>a</sup></th><th rowspan="2">95% CI</th></tr><tr><th>N</th><th>%</th><th>N</th><th>%</th></tr></thead><tbody><tr><td>Country</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Denmark</td><td>8</td><td>7.7</td><td>195</td><td>10.3</td><td></td><td></td></tr><tr><td>Sweden</td><td>7</td><td>6.7</td><td>140</td><td>7.4</td><td></td><td></td></tr><tr><td>Latvia</td><td>3</td><td>2.9</td><td>69</td><td>3.6</td><td></td><td></td></tr><tr><td>France</td><td>29</td><td>27.9</td><td>308</td><td>16.2</td><td></td><td></td></tr><tr><td>Germany</td><td>10</td><td>9.6</td><td>542</td><td>28.5</td><td></td><td></td></tr><tr><td>Italy</td><td>20</td><td>19.2</td><td>210</td><td>11</td><td></td><td></td></tr><tr><td>Spain</td><td>19</td><td>18.3</td><td>365</td><td>19.2</td><td></td><td></td></tr><tr><td>Portugal</td><td>8</td><td>7.7</td><td>72</td><td>3.8</td><td></td><td></td></tr><tr><td>Age (years)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;40</td><td>6</td><td>5.8</td><td>218</td><td>11.5</td><td></td><td></td></tr><tr><td>40-44</td><td>6</td><td>5.8</td><td>193</td><td>10.1</td><td></td><td></td></tr><tr><td>45-49</td><td>10</td><td>9.6</td><td>190</td><td>10</td><td></td><td></td></tr><tr><td>50-54</td><td>14</td><td>13.4</td><td>202</td><td>10.6</td><td></td><td></td></tr><tr><td>55-59</td><td>16</td><td>15.4</td><td>264</td><td>13.9</td><td></td><td></td></tr><tr><td>60-64</td><td>20</td><td>19.2</td><td>329</td><td>17.3</td><td></td><td></td></tr><tr><td>≥65</td><td>32</td><td>30.8</td><td>505</td><td>26.6</td><td></td><td></td></tr><tr><td>Alcohol intake (g/day)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>0-30</td><td>43</td><td>41.4</td><td>1130</td><td>59.4</td><td>1.0</td><td>reference</td></tr><tr><td>30-60</td><td>31</td><td>29.8</td><td>503</td><td>26.5</td><td>1.3</td><td>0.8-2.2</td></tr><tr><td>>60</td><td>30</td><td>28.8</td><td>268</td><td>14.1</td><td>2.6</td><td>1.5-4.4</td></tr><tr><td>Education <sup>b</sup></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Left school at ≤18</td><td>63</td><td>60.6</td><td>866</td><td>45.6</td><td>1.5</td><td>0.8-2.8</td></tr><tr><td>Professional training</td><td>25</td><td>24.0</td><td>515</td><td>27.1</td><td>1.5</td><td>0.8-2.9</td></tr><tr><td>University</td><td>16</td><td>14.4</td><td>516</td><td>27.1</td><td>1.0</td><td>reference</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;18.5</td><td>8</td><td>7.7</td><td>83</td><td>4.4</td><td>2.0</td><td>0.9-4.7</td></tr><tr><td>18.5-25</td><td>40</td><td>38.5</td><td>733</td><td>38.6</td><td>1.0</td><td>reference</td></tr><tr><td>25-30</td><td>40</td><td>38.5</td><td>883</td><td>46.4</td><td>0.8</td><td>0.5-1.3</td></tr><tr><td>>30</td><td>16</td><td>15.4</td><td>202</td><td>10.6</td><td>1.5</td><td>0.8-2.7</td></tr></tbody></table>

<table><caption>**Table 2.** Prevalence of occupational exposure to organic solvents for cases and controls (European study on male breast cancer) [KDF=kerosene/diesel oil/fuels oil; SBP=special-boiling-point spirits]</caption><thead><tr><th rowspan="2">Solvents</th><th colspan="2">Cases (N=104) ever exposed</th><th colspan="2">Controls (N=1901) ever exposed</th></tr><tr><th>N</th><th>%</th><th>N</th><th>%</th></tr></thead><tbody><tr><td>Petroleum solvents</td><td></td><td></td><td></td><td></td></tr><tr><td>Benzene</td><td>22</td><td>21.1</td><td>178</td><td>9.3</td></tr><tr><td>SBP</td><td>6</td><td>5.7</td><td>83</td><td>4.3</td></tr><tr><td>Gasoline</td><td>9</td><td>8.6</td><td>112</td><td>5.8</td></tr><tr><td>White spirits</td><td>31</td><td>29.8</td><td>376</td><td>19.7</td></tr><tr><td>KDF</td><td>22</td><td>21.1</td><td>317</td><td>16.6</td></tr><tr><td>Chlorinated solvents</td><td></td><td></td><td></td><td></td></tr><tr><td>Trichloroethylene</td><td>46</td><td>44.2</td><td>613</td><td>32.2</td></tr><tr><td>Perchloroethylene</td><td>0</td><td>0.0</td><td>16</td><td>0.8</td></tr><tr><td>Methylene chloride</td><td>8</td><td>7.6</td><td>96</td><td>5.0</td></tr><tr><td>Chloroform</td><td>0</td><td>0.0</td><td>6</td><td>0.3</td></tr><tr><td>Carbon tetrachloride</td><td>0</td><td>0.0</td><td>1</td><td>0.0</td></tr><tr><td>Oxygenated solvents</td><td></td><td></td><td></td><td></td></tr><tr><td>Alcohol</td><td>10</td><td>9.6</td><td>171</td><td>8.9</td></tr><tr><td>Ketones/esters</td><td>11</td><td>10.5</td><td>137</td><td>7.2</td></tr><tr><td>Diethyl ether</td><td>0</td><td>0.0</td><td>11</td><td>0.5</td></tr><tr><td>Ethylene glycol</td><td>5</td><td>4.8</td><td>25</td><td>1.3</td></tr><tr><td>Tetrahydrofuran</td><td>2</td><td>1.9</td><td>8</td><td>0.4</td></tr></tbody></table>

<footnote><sup>a</sup> Adjusted for age and country.</footnote>

<footnote><sup>b</sup> Four missing values.</footnote>
sented 72% of all those exposed to benzene (N=200) and 21% of all those exposed to TCE (N=659).

Table 3 shows the adjusted OR for MBC associated with cumulative exposure scores of organic solvents obtained with three different models.

Among the petroleum solvents, significant two- to threefold increased OR were observed in all the models for the low benzene exposure levels compared to non-exposure. The narrower CI were observed in model C, which reports a 2.2 increase in risk. However the OR were smaller and did not reach statistical significance in the high exposure group.

High exposures to gasoline, white spirits and KDF

were associated with similarly increased OR of 1.9, 1.8, and 1.7, respectively, using model A where each solvent was included separately. However no evidence of association was found in model B including all the solvents at a time. Exposure to SBP was not associated with MBC.

For chlorinated solvents, high exposure to TCE was associated with OR≈2 in all models, with a dose-response trend (P<0.01). The three models gave very similar estimates, including the one with stepwise variable selection.

Low level exposure to methylene chloride was associated with an OR of 2.4 in model A, but this decreased to 1.9 and was non-significant after adjustment for other solvents

<table><caption>**Table 3.** Odds ratios (OR) for male breast cancer for exposure to organic solvents. [CES=cumulative exposure score; CI=confidence interval; KDF=kerosene/diesel oil/fuel oils; SBP=special-boiling-point spirits]</caption><thead><tr><th rowspan="2">Solvent CES (ppm.<br>years)</th><th rowspan="2">Cases<br>(N=104)</th><th rowspan="2">Controls<br>(N=1901)</th><th colspan="2">Model A<sup>a</sup></th><th colspan="2">Model B<sup>b</sup></th><th colspan="2">Model C<sup>c</sup></th></tr><tr><th>OR</th><th>95% CI</th><th>OR</th><th>95% CI</th><th>OR</th><th>95% CI</th></tr></thead><tbody><tr><td><strong>Benzene</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>82</td><td>1723</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td></tr><tr><td>&gt;0-&lt;0.87</td><td>13</td><td>89</td><td>2.6</td><td>1.3-5.1</td><td>3.1</td><td>1.1-8.9</td><td>2.2</td><td>1.1-4.3</td></tr><tr><td>≥0.87</td><td>9</td><td>89</td><td>1.9</td><td>0.9-4.1</td><td>2.6</td><td>0.7-9.4</td><td>1.5</td><td>0.7-3.4</td></tr><tr><td><strong>Gasoline</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>95</td><td>1789</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>&gt;0-&lt;0.16</td><td>4</td><td>56</td><td>1.3</td><td>0.4-3.8</td><td>1.2</td><td>0.4-3.6</td><td></td><td></td></tr><tr><td>≥ 0.16</td><td>5</td><td>56</td><td>1.9</td><td>0.7-5.0</td><td>0.7</td><td>0.2-3.0</td><td></td><td></td></tr><tr><td><strong>SBP</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>98</td><td>1818</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>&gt;0-&lt;1.10</td><td>3</td><td>42</td><td>1.1</td><td>0.3-3.8</td><td>0.5</td><td>0.1-1.8</td><td></td><td></td></tr><tr><td>≥1.10</td><td>3</td><td>41</td><td>1.2</td><td>0.4-4.2</td><td>0.6</td><td>0.1-2.6</td><td></td><td></td></tr><tr><td><strong>White spirits</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>73</td><td>1525</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>&gt;0-&lt;0.13</td><td>14</td><td>188</td><td>1.5</td><td>0.8-2.8</td><td>0.9</td><td>0.4-2.0</td><td></td><td></td></tr><tr><td>≥0.13</td><td>17</td><td>188</td><td>1.8</td><td>1.0-3.1</td><td>0.8</td><td>0.3-2.1</td><td></td><td></td></tr><tr><td><strong>KDF</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>82</td><td>1584</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>&gt;0-&lt;0.08</td><td>9</td><td>158</td><td>1.1</td><td>0.6-2.4</td><td>0.8</td><td>0.4-1.8</td><td></td><td></td></tr><tr><td>≥0.08</td><td>13</td><td>159</td><td>1.7</td><td>0.9-3.3</td><td>0.9</td><td>0.4-2.1</td><td></td><td></td></tr><tr><td><strong>Trichloroethylene</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>58</td><td>1288</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td></tr><tr><td>&gt;0-&lt;23.90</td><td>17</td><td>306</td><td>1.5</td><td>0.8-2.8</td><td>1.3</td><td>0.7-2.6</td><td>1.4</td><td>0.7-2.5</td></tr><tr><td>≥23.90</td><td>29</td><td>307</td><td>2.2</td><td>1.3-3.7</td><td>2.1</td><td>1.2-4.0</td><td>1.9</td><td>1.1-3.3</td></tr><tr><td><strong>Methylene chloride</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>96</td><td>1805</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>&gt;0-&lt;17.71</td><td>6</td><td>49</td><td>2.4</td><td>1.0-6.0</td><td>1.9</td><td>0.7-5.1</td><td></td><td></td></tr><tr><td>≥17.71</td><td>2</td><td>47</td><td>0.7</td><td>0.2-2.9</td><td>0.5</td><td>0.1-2.6</td><td></td><td></td></tr><tr><td><strong>Alcohol</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>94</td><td>1730</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>&gt;0-&lt;10.25</td><td>7</td><td>84</td><td>1.9</td><td>0.8-4.3</td><td>1.3</td><td>0.5-3.4</td><td></td><td></td></tr><tr><td>≥10.25</td><td>3</td><td>87</td><td>0.6</td><td>0.2-2.1</td><td>0.6</td><td>0.2-2.7</td><td></td><td></td></tr><tr><td><strong>Ketones/esters</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>93</td><td>1764</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>&gt;0-&lt;20.25</td><td>7</td><td>70</td><td>2.0</td><td>0.9-4.6</td><td>1.4</td><td>0.5-3.7</td><td></td><td></td></tr><tr><td>≥20.25</td><td>4</td><td>67</td><td>1.0</td><td>0.3-2.8</td><td>1.1</td><td>0.3-4.5</td><td></td><td></td></tr><tr><td><strong>Ethylene glycol</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>99</td><td>1876</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>Exposed</td><td>5</td><td>25</td><td>2.4</td><td>1.1-4.9</td><td>1.1</td><td>0.4-3.1</td><td></td><td></td></tr><tr><td><strong>Tetrahydrofuran</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>102</td><td>1893</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>Exposed</td><td>2</td><td>8</td><td>0.7</td><td>0.2-3.0</td><td>0.4</td><td>0.1-2.6</td><td></td><td></td></tr></tbody></table>

<footnote><sup>a</sup>Adjusted for age, country, education, body mass index, and alcohol consumption.</footnote>

<footnote><sup>b</sup>Adjusted for variables in model A and all solvents.</footnote>

<footnote><sup>c</sup>Adjusted for variables in model B and regression model performed respectively with stepwise backward and stepwise forward variable selection.</footnote>
<table><caption>**Table 4.** Odds ratios (OR) for male breast cancer according to occupational exposures to organic solvents with 10-year lag time period. [CES=cumulative exposure score; CI=confidence interval; KDF=kerosene/diesel oil/fuels oil; SBP=special-boiling-point spirits]</caption><thead><tr><th rowspan="2">Solvent CES<br>(ppm.years)</th><th rowspan="2">Cases<br>(N=104)</th><th rowspan="2">Controls<br>(N=1901)</th><th colspan="2">Model A<sup>a</sup></th><th colspan="2">Model B<sup>b</sup></th><th colspan="2">Model C<sup>c</sup></th></tr><tr><th>OR</th><th>95% CI</th><th>OR</th><th>95% CI</th><th>OR</th><th>95% CI</th></tr></thead><tbody><tr><td><strong>Benzene</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>91</td><td>1762</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>&gt;0-&lt;0.51</td><td>8</td><td>70</td><td>1.8</td><td>0.7-4.6</td><td>1.8</td><td>0.7-4.7</td><td></td><td></td></tr><tr><td>≥0.51</td><td>5</td><td>69</td><td>1.7</td><td>0.6-5.0</td><td>1.6</td><td>0.5-4.9</td><td></td><td></td></tr><tr><td><strong>Gasoline</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>96</td><td>1805</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>&gt;0-&lt;0.09</td><td>4</td><td>49</td><td>1.0</td><td>0.4-2.7</td><td>1.0</td><td>0.4-2.8</td><td></td><td></td></tr><tr><td>≥ 0.09</td><td>4</td><td>47</td><td>1.1</td><td>0.3-3.2</td><td>0.8</td><td>0.2-2.8</td><td></td><td></td></tr><tr><td><strong>SBP</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>98</td><td>1823</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>0-1.10</td><td>3</td><td>39</td><td>1.2</td><td>0.4-4.1</td><td>0.9</td><td>0.2-2.1</td><td></td><td></td></tr><tr><td>≥1.10</td><td>3</td><td>39</td><td>1.2</td><td>0.3-4.2</td><td>0.7</td><td>0.1-2.4</td><td></td><td></td></tr><tr><td><strong>White spirits</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>80</td><td>1559</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>0-0.05</td><td>11</td><td>172</td><td>1.2</td><td>0.6-2.3</td><td>1.1</td><td>0.6-2.2</td><td></td><td></td></tr><tr><td>≥0.05</td><td>13</td><td>170</td><td>1.2</td><td>0.6-2.6</td><td>1.1</td><td>0.5-2.5</td><td></td><td></td></tr><tr><td><strong>KDF</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>86</td><td>1648</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>0-0.05</td><td>8</td><td>126</td><td>1.6</td><td>0.8-3.0</td><td>1.4</td><td>0.7-2.8</td><td></td><td></td></tr><tr><td>≥0.05</td><td>10</td><td>127</td><td>1.3</td><td>0.6-2.8</td><td>1.0</td><td>0.5-2.4</td><td></td><td></td></tr><tr><td><strong>Trichloroethylene</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>64</td><td>1363</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td></tr><tr><td>0-15.30</td><td>15</td><td>269</td><td>1.2</td><td>0.6-2.2</td><td>1.0</td><td>0.5-1.9</td><td>1.2</td><td>0.6-2.1</td></tr><tr><td>≥15.30</td><td>25</td><td>269</td><td>2.2</td><td>1.3-3.6</td><td>1.6</td><td>0.8-2.9</td><td>1.9</td><td>1.2-3.2</td></tr><tr><td><strong>Methylene chloride</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>99</td><td>1826</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>0-9.37</td><td>3</td><td>37</td><td>0.9</td><td>0.3-3.0</td><td>1.0</td><td>0.3-3.5</td><td></td><td></td></tr><tr><td>≥9.37</td><td>2</td><td>38</td><td>1.0</td><td>0.4-2.5</td><td>1.1</td><td>0.4-3.2</td><td></td><td></td></tr><tr><td><strong>Alcohol</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>97</td><td>1763</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>0-3.48</td><td>4</td><td>69</td><td>0.5</td><td>0.2-1.4</td><td>0.5</td><td>0.2-1.5</td><td></td><td></td></tr><tr><td>≥3.48</td><td>3</td><td>69</td><td>0.7</td><td>0.3-1.9</td><td>0.7</td><td>0.2-1.9</td><td></td><td></td></tr><tr><td><strong>Ketones/esters</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>95</td><td>1790</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>0-7.00</td><td>5</td><td>56</td><td>2.1</td><td>0.8-5.5</td><td>1.7</td><td>0.6-5.1</td><td></td><td></td></tr><tr><td>≥7.00</td><td>4</td><td>55</td><td>1.9</td><td>0.7-5.4</td><td>1.4</td><td>0.4-4.8</td><td></td><td></td></tr><tr><td><strong>Ethylene glycol</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>101</td><td>1878</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td></tr><tr><td>Exposed</td><td>3</td><td>23</td><td>2.3</td><td>0.9-5.6</td><td>2.1</td><td>0.7-6.3</td><td>1.8</td><td>0.8-3.9</td></tr><tr><td><strong>Tetra-hydrofuran</strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Not exposed</td><td>102</td><td>1895</td><td>1.0</td><td>reference</td><td>1.0</td><td>reference</td><td>Not selected</td><td></td></tr><tr><td>Exposed</td><td>2</td><td>6</td><td>0.5</td><td>0.1-2.4</td><td>0.6</td><td>0.1-3.0</td><td></td><td></td></tr></tbody></table>

exposure in model B indicating no strong association.

Occupational exposure to oxygenated solvents was not associated with MBC except for ethylene glycol in the least-adjusted model based on five ever-exposed cases.

In order to estimate the stability of the results, we repeated the analyses using 10-year lagtime between exposure and diagnosis or interview (table 4). Overall, we observed a shift towards null results. OR for benzene were lower and not statistically significant anymore, while the association between exposure to TCE and MBC was more stable. OR≈2 (not significant) were found in association with ethylene glycol exposure. The stepwise analysis selected TCE (statistically significant) and ethylene glycol, but not benzene.

Results were not substantially modified in sensitivity analyses performed by excluding the hospital-based cancer controls in all countries (supplemental table S1, www.sjweh.fi/show仑abstract.php?abstract_id=3717).

Discussion

In this European case-control study on MBC, one of the largest ever conducted, occupational exposure to organic solvents was assessed using a detailed JEM. High exposure to TCE was significantly associated with a doubling of the risk of MBC, a finding that remained

<footnote><sup>a</sup>Adjusted for age, country, education, body mass index and alcohol consumption.</footnote>

<footnote><sup>b</sup>Adjusted for variables in model A and all solvents.</footnote>

<footnote><sup>c</sup>Adjusted for variables in model A and stepwise selection of solvents.</footnote>
stable in different models and after accounting for a
10-year lag time period. A dose-response trend was also
indicated. In addition, a possible role for benzene and
ethylene glycol in the etiology of MBC was suggested.

Petroleum solvents

The toxicity of benzene has been largely proven towards leukemia risk, and the IARC has classified benzene as a carcinogen (group 1) (12). It is generally recognized that aromatic hydrocarbons, such as benzene or methylene chloride, are mammary carcinogens in animals (7, 8, 32, 33). Benzene induces oxidative stress, is genotoxic and immunosuppressive. It causes genomic instability and induces apoptosis (12). In a study on female mice, benzene-induced mammary tumors exhibited a distinct pattern in the p53 and H-ras mutations compared to spontaneous tumors, suggesting that benzene induces specific genetic alterations (34). In addition, benzene and other aromatic hydrocarbons have exhibited endocrine-disrupting properties (35, 36) making the mammary gland more prone to tumor cell proliferation through hormonal mechanisms (37, 38).

In our study, exposure to benzene was associated
with MBC, although the highest OR was found in the
low-exposure group. Overall, this is consistent with the
two-fold increased OR of MBC among motor vehicle
mechanics and painters with known exposure to benzene
previously reported in the same study population (25).
According to the JEM, in addition to motor vehicle
mechanics and painters, the most frequent occupations
involving exposure to benzene included machinery fit-
ters, shoe makers, printers, precision-instrument makers,
tire makers and vulcanizers. To explain the non-mono-
tonic dose-response curve between benzene exposure
and MBC in our study, it is possible that the participa-
tion rate of the most highly exposed cases was reduced,
eg, because of survival bias, thus leading to a smaller
OR in the high exposure group. It is also possible that
the risk of health outcome induced at low doses of ben-
zene exposure does not increase linearly at higher doses,
as is frequently observed in studies on health effects of
endocrine disrupting chemicals (39). Several epidemio-
logical studies have examined breast cancer in men or
women in relation to benzene exposure. One study has
evaluated the risk of MBC associated with exposure to
benzene among US marines exposed to drinking water
contaminated with solvents (40), but no association was
found. However, the context and route of exposure were
not the same as in our study and exposure levels were
very low. As regards female breast cancer, population-
based or occupational cohort studies reported positive
associations with occupational exposure to benzene
(17, 18, 41), but other did not (19, 42). However, most
studies did not assess benzene exposure levels quanti-

tatively. One study among shoe factory workers in Italy
reported a two-fold increased standardized incidence
ratio among women exposed to benzene >40 ppm years,
but this results was based on only one case (41). In total,
our study provides some support for the hypothesis that
benzene may increase breast cancer risk, but this should
be scrutinized in further studies.

Apart from benzene, petroleum solvents in our
analysis were complex mixtures of polycyclic aromatic
hydrocarbons (PAH). We found elevated OR for white
spirits, but the association disappeared when benzene
was included in the model, suggesting that benzene
content in white spirits explains this association. Previ-
ous studies on MBC reported no association between
MBC mortality and PAH exposure (23) or a doubling of
MBC incidence in workers exposed to PAH or gasoline
(24). Occupational exposures to aromatic, aliphatic and
alicyclic hydrocarbon solvents were positively associ-
ated with female breast cancer in some studies (16, 20).
However, other studies gave inconsistent or null results
(19, 42, 43). In another study, PAH DNA adducts, con-
sidered as a body-burden measure of exposure to PAH of
any source, were more frequent in female breast cancer
patients than controls (44). In total, these studies are
very sparse, are based on weak exposure characteriza-
tion, and do not allow to conclude about breast cancer
risk in relation to petroleum derivatives in general.

Exposure to chlorinated solvents

TCE is one of the most important chlorinated solvents,
and the IARC recently upgraded it from group 2A (prob-
ably carcinogenic to humans) to group 1 (carcinogenic
to humans) based on epidemiological and animal evi-
dence of a role in the risk of kidney cancer (13). TCE
is metabolized to multiple mutagenic and carcinogenic
metabolites that contribute to the carcinogenicity of
the parent compound via genotoxic or non-genotoxic
mechanisms (45). However, the biological mechanisms
that could explain an excess breast cancer risk associated
with TCE exposure are not known.

We found that TCE exposure was associated with an
increased risk of MBC. This association was stable in
different models, robust in the analysis accounting for
a 10-year lagtime and reinforced by a dose-response
trend. The most frequent occupations exposed to TCE in
our data were motor mechanics, machine fitters, plumb-
ers and painters. Conversely, no consistent association
with methylene chloride was detected in our study after
adjustment for exposure to other solvents based on eight
exposed cases, whereas no cases were exposed to the
three remaining chlorinated solvents (perchloroethylene,
chloroform and carbon tetrachloride).

In the study of US marines exposed to contaminated
drinking water, exposure to TCE did not increase the
risk of MBC (40). However exposure to TCE in this
study (median cumulative exposure 159 ppb months)
was several orders of magnitude lower than in our data.
Previous studies on female breast cancer, including a
large population-based cohort in Finland (20) and a
cohort of military women in the US (15) occupationally
exposed to TCE, reported no evidence of an association
with exposure to chlorinated solvents. No association of
breast cancer with urinary biomarkers of exposure to TCE
was found in a Scandinavian study, which included 260
female and 2 male cases (46). However, in an electron-
ics workers cohort study in Taiwan, an increased risk of
female breast cancer in association with a long duration
of exposure to chlorinated solvents was reported (47).
Overall, results of epidemiological studies do not allow
for the drawing of firm conclusions, but our data add to
the evidence that TCE may play a role in breast cancer.

Oxygenated solvents

Oxygenated solvents include a large variety of chemi-
cals. Among alcoholic solvents, ethanol has well-known
carcinogenic effects on many organs including the
breast. These effects have been investigated intensively
among alcohol drinkers in numerous studies. However
exposure to alcoholic solvents from occupational origin
through inhalation or cutaneous absorption may have
different effects on health. Exposure to oxygenated
solvents in general has been known to cause reprotoxic
or neurologic effects, but their carcinogenic properties
are not documented. It has been shown for example, that
female workers exposed to ethylene glycol ethers had
prolonged menstrual cycles and time-to-pregnancy com-
pared to those who were not exposed (48, 49). Experi-
mental studies have also demonstrated an increased pro-
duction of progesterone in ovarian luteal cells exposed
to ethylene glycol ethers (50, 51). It can be hypothesized
that modifications of hormone synthesis in exposed
women has an impact on breast cancer risk.

Our findings suggest a possible role of occupational
exposure to ethylene glycol in MBC. OR were ≈2 in
the model without adjustment for other solvents and
in the analyses (five exposed cases) and in the models
accounting for a 10-year lag time (three exposed cases).
Conversely, we did not observe any association with
occupational exposure to alcohol (seven exposed cases),
tetrahydrofuran (two exposed cases), and ketones/esters
(nine exposed cases) in our study. The small number
of cases in our data and the lack of known mechanistic
pathway does not allow us to draw conclusions.

To the best of our knowledge, no study has evaluated
the risk of MBC specifically associated with exposure
to oxygenated solvents to date. One case–control study
in Australia evaluated occupational exposure to alcohol
solvents in women and found no association with female

breast cancer (43). Of note, cohort studies of workers
exposed to ethylene oxide, an intermediate chemical
used in the production of ethylene glycol that is also
used as a sterilizing agent for medical equipment, found
that breast cancer incidence was increased in exposed
women (52, 53). However, the data on breast cancer in
relation to oxygenated solvents are sparse and require
further investigations in groups of workers with well-
characterized exposure.

Study strengths and limitations

As reported earlier (27), the number of eligible cases
identified during the study period was close to the
expected number, based on incidence data from cancer
registries in the participating areas. The case participa-
tion rate was 85%. The overall participation rate among
controls was 67%, but there were large disparities across
countries. Among countries that used population controls,
the response rate was low in Northern Europe (Denmark,
Germany, and Sweden). A differential participation of
cases and controls, eg, according to social class, is thus
possible, but its effects on our results were attenuated by
adjustment on education level. Selection bias could occur
in countries using hospital-based controls, mainly colon
cancer patients. However, the results were not different
when the analyses were conducted separately for subjects
recruited with a population- and hospital-based design.

Regarding the quality of exposure assessment, we
used a detailed JEM elaborated for assessing occupa-
tional exposures in France as far back as the 1950s
and based on the expertise of experienced industrial
hygienists, extensive literature review and relevant
exposure monitoring data at the work places. Using a
JEM is considered to be a less accurate method than
expert judgment based on the review of individual job
histories (54). Moreover, the same JEM were used for all
countries, while the jobs and the job tasks could differ
to some extent between European countries. This could
have led to errors in exposure estimates, however mis-
classification errors are expected to be non-differential.

Although this is the largest case–control study ever
conducted to evaluate the association of MBC and
occupational exposure to organic solvents, an impor-
tant limitation is the relatively small number of cancer
cases for certain exposures evaluated due to the rarity
of the disease. This may lead to low statistical power
for detecting significant associations or concluding
on the lack thereof, particularly for the less-frequent
exposures. However, our study permitted the detection
of some associations between occupational factors and
breast cancer that could have been difficult to observe
in studies on women.

Concluding remarks
In conclusion, this study suggests that men occupation-
ally exposed to TCE, and possibly benzene or ethylene
glycol, are at increased risk of breast cancer, a finding
that conceivably can be extrapolated to female breast
cancer. Mechanisms that can explain these associa-
tions are still to be elucidated. Further epidemiological
studies should be conducted in populations with well-
characterized exposure to organic solvents in order to
confirm these findings.

Acknowledgements

Rare Cancer Study Group members. Project manage-
ment group: Wolfgang Ahrens, Mikael Eriksson, Pascal
Guenel, Henrik Kolstad, Linda Kaerlev, Jean-Michel
Lutz, Elsebeth Lynge, Franco Merletti, Maria M. Morales
Suarez-Varela, Jorn Olsen, and Svend Sabroe. Other
members: Denmark: Herman Autrup, Lisbeth Norum
Pedersen, Preben Johansen, Stein Poulsen, Peter Stubbe
Teglbjaerg, and Mogens Vyberg. France: Antoine Buemi,
Paule-Marie Carli, Gilles Chaplain, Jean-Pierre Dau-
res, Jean Faivre, Joelle Fevotte, Pascale Grosclaude,
Anne-Valérie Guizard, Michel Henry-Amar, Guy Launoy,
Francois Menegoz, Nicole Raverdy, and Paul Schaffer.
Germany: Cornelia Baumgardt-Elms, Sibylle Gotthardt,
Ingeborg Jahn, Karl-Heinz Jockel, Hiltrud Merzenick,
Andreas Stang, Christa Stegmaier, Antje Timmer, and
Hartwig Ziegler. Italy Terri Ballard, Franco Bertoni,
Giuseppe Gorini, Sandra Gostinicchi, Giovanna Masala,
Enzo Merler, Lorenzo Richiardi, Lorenzo Simonato,
and Paola Zambon. Latvia: Irena Rogovska, Galina
Sharkova, and Aivars Stengrevics. Lithuania: Jolita
Gibaviciene, Laimonas Jazukevicius, Juozas Kurtinaitis,
and Roma Pociute. Portugal: Noemia Afonso, Altamiro
Costa-Pereira, Sonia Doria, Carlos Lopes, Jose Manuel
Lopes, Ana Miranda, and Cristina Santos. Spain: Daniel
Almenar, Ines Aguinaga, Juan J. Aurrekoetxea, Con-
cepcion Brun, Alicia Cordoba, Francisco Guillen, Rosa
Guarch, Agustin Llopis, Rosa Llorente, Blanca Marín,
Amparo Marquina, Miguel Angel Martínez, JM Martínez
Penuela, Ana Puras, Ma Adela Sanz, Francisco Vega, and
Ma Aurora Villanueva. Sweden: Lennart Hardell, Irene
Larsson, Hakan Olson, Monica Sandstrom, and Gun
Wingren. The United Kingdom: Janine Bell, Ian Cree,
Tony Fletcher, and Alex JE Foss.

We acknowledge collaboration from the patients, con-
trols, participating hospitals and data providers. The con-
tribution of the individual cancer registries is gratefully
acknowledged. The study was financially supported by
the European Commission, DGXII, Grants No. BMH1
CT 931630 and ERB CIPD CT 940285, and national
funding agencies. Denmark: The Strategic Environment
Programme and the Danish Science Foundation. France:

Ligue Nationale contre le Cancer, Fondation de France (Grant No. 955368), Institut National de la Santé et de la Recherche Médicale, Programme Environnement-Santé, Ministère de l'Environnement. Germany: Federal Ministry for Education, Science, Research and Technology (BMBF), Grant No. 01-HP-684/8. Italy: MURST, Italian Association for Cancer Research, Compagnia San Paolo/FIRMS. Portugal: Junta Nacional de Investigacao Científica e Tecnológica, Praxis XXI, No. 2/2.1/SAU/1178/95. Spain: Fondo de Investigación de la Sanitarie, Ministerio de Sanidad y Consumo, Unidad de Investigación Clinico Epidemiologica, Hospital Dr. Peset. Generalitet Valenciana; Departamento de Sanidad y Consumo, Gobierno Vasco; Fondo de Investigación de la Sanitaria (FIS), Ministerio de Sanidad y Consumo, Ayuda a la Investigación del Departamento de Salud del Gobierno de Navarra. Sweden: Swedish Council for Work Life Research, Research Foundation of the Department of Oncology in Umea, Swedish Society of Medicine, Lund University Hospital Research Foundation, Gunnar, Arvid and Elsebeth Nilsson Cancer Foundation.

References

1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA: Cancer J Clin. 2015.65(2):87–108. https://doi.org/10.3322/caac.21262.

2. Curado M, Edwards B, Shin H, Storm H, Ferlay J, Heanue M, et al. Cancer incidence in five continents. Lyon: International Agency for Research (IARC); Scientific publication No. 160, vol IX, 2007.

3. Ferzoco RM, Ruddy KJ, The Epidemiology of Male Breast Cancer. Curr Oncol Rep. 2016;18(1):1. https://doi.org/10.1007/s11912-015-0487-4.

4. Anderson WF, Jatoi I, Tse J, Rosenberg PS. Male breast cancer: a population-based comparison with female breast cancer. J Clin Oncol. 2010;28(2):232–9. https://doi.org/10.1200/JCO.2009.23.8162.

5. Guenel P, Cyr D, Sabroe S, Lynge E, Merletti F, Ahrens W, et al. Alcohol drinking may increase risk of breast cancer in men: a European population-based case-control study. Cancer Causes Control. 2004;15(6):571–80. https://doi.org/10.1023/B:CACO.0000036154.18162.43.

6. Ruddy KJ, Winer EP. Male breast cancer: risk factors, biology, diagnosis, treatment, and survivorship. Ann Oncol. 2013;24(6):1434–43. https://doi.org/10.1093/annonc/mdt025.

7. Rodgers KM, Udesky JO, Rudel RA, Brody J. Environmental chemicals and breast cancer: An updated review of epidemiological literature informed by biological mechanisms. Environ Res. 2018;160:152–82. https://doi.org/10.1016/j.envres.2017.08.045.
8. Rudel RA, Attfield KR, Schifano JNB, Brody JG, Chemicals causing mammary gland tumors in animals signal new directions for epidemiology, chemicals testing, and risk assessment for breast cancer prevention. Cancer. 2007;109(12 Suppl):2635-66. https://doi.org/10.1002/cncr.22653.

9. Labreche FP, Goldberg MS, Exposure to organic solvents and breast cancer in women: a hypothesis. Am J Ind Med. 1997;32(1):1-14. https://doi.org/10.1002/(SICI)1097-0274(199707)32:1<1::AID-AJIM1>3.0.CO;2-3.

10. Telang NT, Basu A, Modak MJ, Osborne MP, Cellular ras protooncogene expression in human mammary explant cultures. A potential marker for chemical carcinogenesis. Ann NY Acad Sci. 1990;586:230-7. https://doi.org/10.1111/j.1749-6632.1990.tb17811.x.

11. Dunnick JK, Elwell MR, Huff J, Barrett CJ. Chemically induced mammary gland cancer in the National Toxicology Program's carcinogenesis bioassay. Carcinogenesis. 1995;16(2):173-9. https://doi.org/10.1093/carcin/16.2.173.

12. Loomis D, Guyton KZ, Grosse Y, El Ghissassi F, Bouvard V, Benbrahim-Tallaa L, et al. Carcinogenicity of benzene. Lancet Oncol. 2017;18(12):1574-5. https://doi.org/10.1016/S1470-2045(17)30832-X.

13. International Agency for Research on Cancer (IARC). Trichloroehylene, tetrachloroethylene and some other chlorinated agents. Lyon: IARC; 2014. IARC monographs on the evaluation of the carcinogenic risks of chemicals to humans, vol 106, 2014.

14. Lamm SH, Engel A, Joshi KP, Byrd DM 3rd, Chen R, Chronic myelogenous leukemia and benzene exposure: a systematic review and meta-analysis of the case-control literature. Chem Biol Interact. 2009.182(2-3):93-7. https://doi.org/10.1016/j.cbi.2009.08.010.

15. Blair A, Hartge P, Stewart PA, McAdams M, Lubin J, Mortality and cancer incidence of aircraft maintenance workers exposed to trichloroethylene and other organic solvents and chemicals: extended follow up. Occup Environ Med. 1998;55(3):161-71. https://doi.org/10.1136/oem.55.3.161.

16. Labreche F, Goldberg MS, Valois MF, Nadon L. Postmenopausal breast cancer and occupational exposures. Occup Environ Med. 2010.67(4):263-9. https://doi.org/10.1136/oem.2009.049817.

17. Petralia SA, Chow WH, McLaughlin J, Jin F, Gao YT, Dosemeci M. Occupational risk factors for breast cancer among women in Shanghai. Am J Ind Med. 1998;34(5): 477-83. https://doi.org/10.1002/(SICI)1097-0274(199811)34:5<477::AID-AJIM8>3.0.CO;2-N.

18. Petralia S, Vena JE, Freudenheim JL, Dosemeci M, Michalek A, Goldberg MS, et al. Risk of premenopausal breast cancer in association with occupational exposure to polycyclic aromatic hydrocarbons and benzene. Scand J Work Environ Health. 1999;25(3):215-21. https://doi.org/10.5271/sjweh.426.

19. Ray RM, Gao DL, Li W, Wernli KJ, Astrakianakis G, Seixas NS, et al., Occupational exposures and breast cancer among women textile workers in Shanghai. Epidemiology. 2007;18(3):383-92. https://doi.org/10.1097/01.ede.0000259984.40934.ae.

20. Weiderpass E, Pukkala E, Kauppinen T, Mutanen P, Paakkulainen H, Vasama-Neuvonen K, et al. Breast cancer and occupational exposures in women in Finland. Am J Ind Med. 1999;36(1):48-53. https://doi.org/10.1002/(SICI)1097-0274(199907)36:1<48::AID-AJIM7>3.0.CO;2-2.

21. Ekenga CC, Parks CG, Sandler DP. Chemical exposures in the workplace and breast cancer risk: A prospective cohort study. Int J Cancer. 2015;137(7):1765-74. https://doi.org/10.1002/ijc.29545.

22. Peplonska B, Stewart P, Szeszenia-Dabrowska N, Lissowska, J, Brinton LA, Gromiec JP, et al. Occupational exposure to organic solvents and breast cancer in women. Occupational Environ Med 2010. 67(11): p. 722-729. https://doi.org/10.1136/oem.2009.046557

23. Cocco P, Figgs L, Dosemeci M, Hayes R, Linet MS, Hsing AW. Case-control study of occupational exposures and male breast cancer. Occup Environ Med. 1998; 55(9):599-604. https://doi.org/10.1136/oem.55.9.599.

24. Hansen J. Elevated risk for male breast cancer after occupational exposure to gasoline and vehicular combustion products. Am J Ind Med. 2000;37(4):349-52. https://doi.org/10.1002/(SICI)1097-0274(200004)37:4<349::AID-AJIM4>3.0.CO;2-L.

25. Villeneuve S, Cyr D, Lynge E, Orsi L, Sabroe S, Merletti F, et al. Occupation and occupational exposure to endocrine disrupting chemicals in male breast cancer: a case-control study in Europe. Occup Environ Med. 2010;67(12):837-44. https://doi.org/10.1136/oem.2009.052175.

26. Fevotte J, Dananche B, Delabre L, Ducamp S, Garras L, Houot M, et al. Matgene: a program to develop job-exposure matrices in the general population in France. Ann Occup Hyg. 2011;55(8):865-78. https://doi.org/10.1136/oemed-2011-100382.256.

27. Lynge E, Afonso N, Kaerlev L, Olsen J, Sabroe S, Ahrens W, et al. European multi-centre case-control study on risk factors for rare cancers of unknown aetiology. Eur J Cancer. 2005;41(4):601-12. https://doi.org/10.1016/j.ejca.2004.12.016.

28. Kaerlev L, Teglbjaerg PS, Sabroe S, Kolstad HA, Ahrens W, Eriksson M, et al. Occupational risk factors for small bowel carcinoid tumor: a European population-based case-control study. J Occup Environ Med. 2002;44(6):516-22. https://doi.org/10.1097/00043764-200206000-00012.

29. Pilorget C, Dananche B, Luce D, Fevotte J. Éléments techniques sur l'exposition professionnelle aux carburants et solvants pétroliers. matrice emplois-expositions aux carburants et solvants pétroliers. [Technical data on occupational exposure to fuel oils and petroleum solvents. Job-exposure matrix for fuel oils and petroleum solvents]. Saint-Maurice; Institut de veille sanitaire; 2007.

30. Dananche B, Fevotte J. Éléments techniques sur l'exposition professionnelle à cinq solvants chlorés. Matrices emplois-expositions à cinq solvants chlorés : trichloroéthylène, perchloroéthylène, chlorure de méthylène, tétrachlorure de carbone, chloroforme. [Technical data on occupational exposure to five chlorinated solvents. Job-exposure
matrices for five chlorinated solvents: trichloroethylene, perchloroethylene, methylene chloride, carbon tetrachloride, chloroform]. Saint-Maurice; Institut de veille sanitaire; 2009.

31. Zhang Z. Variable selection with stepwise and best subset approaches. Ann Transl Med. 2016;4(7):136. https://doi.org/10.21037/atm.2016.03.35.

32. Brody JG, Rudel RA. Environmental pollutants and breast cancer. Environ Health Persp. 2003;111(8):1007-19. https://doi.org/10.1289/ehp.6310.

33. Bennett LM, Davis BJ. Identification of mammary carcinogens in rodent bioassays. Environ Mol Mutagen. 2002; 39(2-3):150-7. https://doi.org/10.1002/em.10068.

34. Houle CD, Ton TV, Clayton N, Huff J, Hong HH, Sills RC. Frequent p53 and H-ras mutations in benzene- and ethylene oxide-induced mammary gland carcinomas from B6C3F1 mice. Toxicol Pathol. 2006;34(6):752-62. https://doi.org/10.1080/01926230600935912.

35. Reutman SR, LeMasters GK, Knecht EA, Shukla R, Lockey JE, Burroughs GE, et al. Evidence of reproductive endocrine effects in women with occupational fuel and solvent exposures. Environ Health Persp. 2002;110(8):805-11. https://doi.org/10.1289/ehp.02110805.

36. Bolden AL, Kwiatkowski CF, Colborn T. New Look at BTEX: Are Ambient Levels a Problem? Environ Sci Technol. 2015;49(9). https://doi.org/10.1021/es505316f.

37. Diamanti-Kandarakis E, Bourguignon J-PP, Giudice LC, Hauser R, Prins GS, Soto AM, et al. Endocrine-disrupting chemicals: an Endocrine Society scientific statement. Endoc Rev. 2009;30(4):293-342. https://doi.org/10.1210/er.2009-0002.

38. Fenton SE. Endocrine-disrupting compounds and mammary gland development: early exposure and later life consequences. Endocrin. 2006;147(6 Suppl):24. https://doi.org/10.1210/en.2005-1131.

39. Vandenberg LN, Colborn T, Hayes TB, Heindel JJ, Jacobs DR, Lee D-H, et al. Hormones and endocrine-disrupting chemicals: low-dose effects and nonmonotonic dose responses. Endocr Rev. 2012;33(3):378-455. https://doi.org/10.1210/er.2011-1050.

40. Ruckart PZ, Bove FJ, Shanley E 3rd, Maslia M. Evaluation of contaminated drinking water and male breast cancer at Marine Corps Base Camp Lejeune, North Carolina: a case control study. Environ Health. 2015;14:74. https://doi.org/10.1186/s12940-015-0061-4.

41. Costantini AS, Gorini G, Consonni D, Miligi L, Giovannetti L, Quinn M. Exposure to benzene and risk of breast cancer among shoe factory workers in Italy. Tumori. 2009;95(1):8-12.

42. Peplonska B, Stewart P, Szeszenia-Dabrowska N, Lissowska J, Brinton LA, Gromiec JP, et al. Occupational exposure to organic solvents and breast cancer in women. Occup Environ Med. 2010;67(11):722-9. https://doi.org/10.1136/oem.2009.046557.

43. Glass DC, Heyworth J, Thomson AK, Peters S, Saunders C, Fritschi L. Occupational exposure to solvents and risk of breast cancer. Am J Ind Med. 2015;58(9):915-22. https://doi.org/10.1002/ajim.22478.

44. Gammon MD, Sagiv SK, Eng SM, Shantakumar S, Gaudet MM, Teitelbaum SL, et al. Polycyclic aromatic hydrocarbon-DNA adducts and breast cancer: a pooled analysis. Arch Environ Health. 2004;59(12):640-9. https://doi.org/10.1080/00039890409602948.

45. Rusyn I, Chiu WA, Lash LH, Kromhout H, Hansen J, Guyton KZ. Trichloroethylene: Mechanistic, epidemiologic and other supporting evidence of carcinogenic hazard. Pharmacol Ther. 2014;141(1):55-68. https://doi.org/10.1016/j.pharmthera.2013.08.004.

46. Hansen J, Sallmen M, Selden AI, Anttila A, Pukkala E, Andersson K, et al. Risk of cancer among workers exposed to trichloroethylene: analysis of three Nordic cohort studies. J Natl Cancer Inst. 2013;105(12):869-77. https://doi.org/10.1093/jnci/djt107.

47. Sung TI, Chen PC, Jyuhn-Hsiarn Lee L, Lin YP, Hsieh GY, Wang JD. Increased standardized incidence ratio of breast cancer in female electronics workers. BMC Public Health. 2007;7:102. https://doi.org/10.1186/1471-2458-7-102.

48. Hsieh GYY, Wang JDD, Cheng TJJ, Chen PCC. Prolonged menstrual cycles in female workers exposed to ethylene glycol ethers in the semiconductor manufacturing industry. Occup Environ Med. 2005;62(8):510-6. https://doi.org/10.1136/oem.2004.016014.

49. Chen PCC, Hsieh GYY, Wang JDD, Cheng TJJ. Prolonged time to pregnancy in female workers exposed to ethylene glycol ethers in semiconductor manufacturing. Epidem. (Cambridge, Mass.). 2002;13(2):191-6. https://doi.org/10.1097/00001648-200203000-00014.

50. Davis BJ, Almekinder JL, Flagler N, Travlos G, Wilson R, Maronpot RR. Ovarian luteal cell toxicity of ethylene glycol monomethyl ether and methoxy acetic acid in vivo and in vitro. Toxic Appl Pharmac. 1997;142(2):328-37. https://doi.org/10.1006/taap.1996.8035

51. Almekinder JL, Lennard DE, Walmer DK, Davis BJ. Toxicity of methoxyacetic acid in cultured human luteal cells. Fund App Toxic: Off J Soc Toxic. 1997;38(2):191-4. https://doi.org/10.1006/faat.1997.2332.

52. Norman SA, Berlin JA, Soper KA, Middendorf BF, Stolley PD. Cancer incidence in a group of workers potentially exposed to ethylene oxide. Int J Epidemiol. 1995; 24(2): 276-84. https://doi.org/10.1093/ije/24.2.276.

53. Mikoczy Z, Tinnerberg H, Bjork J, Albin M. Cancer incidence and mortality in Swedish sterilant workers exposed to ethylene oxide: updated cohort study findings 1972-2006. Int J Environ Res Public Health. 2011;8(6):2009-19. https://doi.org/10.3390/ijerph8062009.

54. Siemiatycki J, Dewar R, Richardson L. Costs and statistical power associated with five methods of collecting occupation exposure information for population-based case-control studies. Am J Epidemiol. 1989;130(6):1236-46. https://doi.org/10.1093/oxfordjournals.aje.a115452.

Received for publication: 27 September 2017