{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T13:08:51Z","timestamp":1792501731704,"version":"4.5.0"},"reference-count":59,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T00:00:00Z","timestamp":1722902400000},"content-version":"vor","delay-in-days":5,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100017171","name":"ADEME","doi-asserted-by":"publisher","award":["21ESD0020"],"award-info":[{"award-number":["21ESD0020"]}],"id":[{"id":"10.13039\/501100017171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020552","name":"Ministry of Higher Education, Research and Innovation","doi-asserted-by":"publisher","award":["2103236497"],"award-info":[{"award-number":["2103236497"]}],"id":[{"id":"10.13039\/100020552","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020552","name":"Ministry of Higher Education, Research and Innovation","doi-asserted-by":"publisher","award":["2102 918823"],"award-info":[{"award-number":["2102 918823"]}],"id":[{"id":"10.13039\/100020552","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020552","name":"Ministry of Higher Education, Research and Innovation","doi-asserted-by":"publisher","award":["2103586016"],"award-info":[{"award-number":["2103586016"]}],"id":[{"id":"10.13039\/100020552","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004099","name":"Ligue Nationale Contre Le Cancer","doi-asserted-by":"publisher","award":["18-383-C"],"award-info":[{"award-number":["18-383-C"]}],"id":[{"id":"10.13039\/501100004099","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008018","name":"Mutuelle G\u00e9n\u00e9rale de l'Education Nationale","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008018","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-10-COHO-0006"],"award-info":[{"award-number":["ANR-10-COHO-0006"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001677","name":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001677","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008017","name":"Institut Gustave-Roussy","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008017","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003031","name":"Agence de l'Environnement et de la Ma\u00eetrise de l'Energie","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003031","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Environment International"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1016\/j.envint.2024.108943","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T00:17:32Z","timestamp":1723076252000},"page":"108943","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":10,"special_numbering":"C","title":["Multi-pollutant exposure profiles associated with breast cancer risk: A Bayesian profile regression analysis in the French E3N cohort"],"prefix":"10.1016","volume":"190","author":[{"given":"Camille","family":"Giampiccolo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6662-2089","authenticated-orcid":false,"given":"Amina","family":"Amadou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Coudon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Delphine","family":"Praud","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1774-2073","authenticated-orcid":false,"given":"L\u00e9ny","family":"Grassot","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elodie","family":"Faure","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florian","family":"Couvidat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gianluca","family":"Severi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Romana Mancini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3498-6499","authenticated-orcid":false,"given":"B\u00e9atrice","family":"Fervers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3837-3198","authenticated-orcid":false,"given":"Pascal","family":"Roy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.envint.2024.108943_b0005","doi-asserted-by":"crossref","first-page":"1848","DOI":"10.1289\/EHP172","article-title":"A systematic comparison of linear regression-based statistical methods to assess exposome-health associations","volume":"124","author":"Agier","year":"2016","journal-title":"Environ. Health Perspect."},{"key":"10.1016\/j.envint.2024.108943_b0010","doi-asserted-by":"crossref","DOI":"10.2196\/15167","article-title":"Chronic low-dose exposure to xenoestrogen ambient air pollutants and breast cancer risk: XENAIR protocol for a case-control study nested within the French E3N Cohort","volume":"9","author":"Amadou","year":"2020","journal-title":"JMIR Res. Protoc."},{"key":"10.1016\/j.envint.2024.108943_b0015","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1002\/ijc.32257","article-title":"Chronic long-term exposure to cadmium air pollution and breast cancer risk in the French E3N cohort","volume":"146","author":"Amadou","year":"2020","journal-title":"Int. J. Cancer"},{"key":"10.1016\/j.envint.2024.108943_b0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2021.106399","article-title":"Risk of breast cancer associated with long-term exposure to benzo[a]pyrene (BaP) air pollution: Evidence from the French E3N cohort study","volume":"149","author":"Amadou","year":"2021","journal-title":"Environ. Int."},{"key":"10.1016\/j.envint.2024.108943_b0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.envpol.2022.120719","article-title":"Long-term exposure to nitrogen dioxide air pollution and breast cancer risk: A nested case-control within the French E3N cohort study","volume":"317","author":"Amadou","year":"2023","journal-title":"Environ. Pollut."},{"key":"10.1016\/j.envint.2024.108943_b0030","doi-asserted-by":"crossref","first-page":"2450","DOI":"10.1002\/ijc.32575","article-title":"Exposure to ambient air pollution and the incidence of lung cancer and breast cancer in the Ontario Population Health and Environment Cohort","volume":"146","author":"Bai","year":"2020","journal-title":"Int. J. Cancer"},{"key":"10.1016\/j.envint.2024.108943_b0035","doi-asserted-by":"crossref","unstructured":"Bellavia, A., 2023. 1.1 Environmental mixtures | Statistical Methods for Environmental Mixtures.","DOI":"10.1007\/978-3-031-78987-8_1"},{"key":"10.1016\/j.envint.2024.108943_b0040","doi-asserted-by":"crossref","unstructured":"Belloni, M., Laurent, O., Guihenneuc, C., Ancelet, S., 2020. Bayesian Profile Regression to Deal With Multiple Highly Correlated Exposures and a Censored Survival Outcome. First Application in Ionizing Radiation Epidemiology. Frontiers in Public Health 8.","DOI":"10.3389\/fpubh.2020.557006"},{"key":"10.1016\/j.envint.2024.108943_b0045","doi-asserted-by":"crossref","unstructured":"Billionnet, C., Sherrill, D., Annesi-Maesano, I., GERIE study, 2012. Estimating the health effects of exposure to multi-pollutant mixture. Ann Epidemiol 22, 126\u2013141. Doi: 10.1016\/j.annepidem.2011.11.004.","DOI":"10.1016\/j.annepidem.2011.11.004"},{"key":"10.1016\/j.envint.2024.108943_b0050","unstructured":"Chaumeny, Davison, J. van der M.M., Anthony C., Paul D. W. Kirk, 2022. Bayesian nonparametric mixture inconsistency for the number of components: How worried should we be in practice?."},{"key":"10.1016\/j.envint.2024.108943_b0055","doi-asserted-by":"crossref","unstructured":"Clavel-Chapelon, F., E3N Study Group, 2015. Cohort Profile: The French E3N Cohort Study. Int J Epidemiol 44, 801\u2013809. Doi: 10.1093\/ije\/dyu184.","DOI":"10.1093\/ije\/dyu184"},{"key":"10.1016\/j.envint.2024.108943_b0060","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1038\/cdd.2016.107","article-title":"Long-term exposure to bisphenol A or benzo(a)pyrene alters the fate of human mammary epithelial stem cells in response to BMP2 and BMP4, by pre-activating BMP signaling","volume":"24","author":"Cl\u00e9ment","year":"2017","journal-title":"Cell Death Differ."},{"key":"10.1016\/j.envint.2024.108943_b0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2020.105471","article-title":"Household air pollution profiles associated with persistent childhood cough in urban Uganda","volume":"136","author":"Coker","year":"2020","journal-title":"Environ. Int."},{"key":"10.1016\/j.envint.2024.108943_b0070","doi-asserted-by":"crossref","DOI":"10.1016\/j.envres.2022.114484","article-title":"Bayesian profile regression to study the ecologic associations of correlated environmental exposures with excess mortality risk during the first year of the Covid-19 epidemic in lombardy, Italy","volume":"216","author":"Coker","year":"2023","journal-title":"Environ. Res."},{"key":"10.1016\/j.envint.2024.108943_b0075","doi-asserted-by":"crossref","first-page":"165","DOI":"10.5194\/gmd-11-165-2018","article-title":"Development of an inorganic and organic aerosol model (CHIMERE 2017\u03b2 v1.0): Seasonal and spatial evaluation over Europe","volume":"11","author":"Couvidat","year":"2018","journal-title":"Geosci. Model Dev."},{"key":"10.1016\/j.envint.2024.108943_b0080","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.envint.2019.01.001","article-title":"Long-term airborne dioxin exposure and breast cancer risk in a case-control study nested within the French E3N prospective cohort","volume":"124","author":"Danjou","year":"2019","journal-title":"Environ. Int."},{"key":"10.1016\/j.envint.2024.108943_b0085","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/bs.apha.2021.04.006","article-title":"Endocrine disrupting chemicals and breast cancer cells","volume":"92","author":"Darbre","year":"2021","journal-title":"Adv. Pharmacol."},{"key":"10.1016\/j.envint.2024.108943_b0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.envres.2021.110743","article-title":"Long-term atmospheric exposure to PCB153 and breast cancer risk in a case-control study nested in the French E3N cohort from 1990 to 2011","volume":"195","author":"Deygas","year":"2021","journal-title":"Environ. Res."},{"key":"10.1016\/j.envint.2024.108943_b0095","unstructured":"Eurostat, 2024. Contexte - NUTS - Nomenclature des unit\u00e9s territoriales statistiques - Eurostat [WWW Document]. URL https:\/\/ecas.ec.europa.eu\/cas\/login?loginRequestId=ECAS_LR-16888280-M3H0vlhFbSx4npCwalt3EYeABmoVSGOmK3oP8LD1znoHWZkzHVziwuLbVsXhmGj8nw0v6y5SoBztCSwzQAK5xMzG-yntOf97TTHqmOIW4k0Hqea-KhMAUIv0vCiJr2StB9kuYZ40zkrcXZcQPenDWbu74zvAZSlJXD7UqXdK3U8FrueHdYnv4zJXfmlDsREUeazq2sO (accessed 8.2.24)."},{"key":"10.1016\/j.envint.2024.108943_b0100","doi-asserted-by":"crossref","first-page":"92","DOI":"10.2307\/1937887","article-title":"Multicollinearity in regression analysis: The problem revisited","volume":"49","author":"Farrar","year":"1967","journal-title":"Rev. Econ. Stat."},{"key":"10.1016\/j.envint.2024.108943_b0105","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1186\/s12940-017-0217-5","article-title":"Accuracy of two geocoding methods for geographic information system-based exposure assessment in epidemiological studies","volume":"16","author":"Faure","year":"2017","journal-title":"Environ. Health"},{"key":"10.1016\/j.envint.2024.108943_b0110","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2020.105879","article-title":"Cadmium exposure and risk of breast cancer: A dose-response meta-analysis of cohort studies","volume":"142","author":"Filippini","year":"2020","journal-title":"Environ. Int."},{"key":"10.1016\/j.envint.2024.108943_b0115","doi-asserted-by":"crossref","unstructured":"Fiolet, T., Casagrande, C., Nicolas, G., Horvath, Z., Frenoy, P., Weiderpass, E., Katzke, V., Kaaks, R., Rodriguez-Barranco, M., Panico, S., Sacerdote, C., Manjer, J., Sonestedt, E., Grioni, S., Agudo, A., Rylander, C., Haugdahl N\u00f8st, T., Skeie, G., Tj\u00f8nneland, A., Raaschou-Nielsen, O., Ardanaz, E., Amiano, P., Dolores Chirlaque L\u00f3pez, M., Schulze, M.B., Wennberg, M., Harlid, S., Cairat, M., Kvaskoff, M., Huybrechts, I., Romana Mancini, F., 2022. Dietary intakes of dioxins and polychlorobiphenyls (PCBs) and breast cancer risk in 9 European countries. Environ Int 163, 107213. Doi: 10.1016\/j.envint.2022.107213.","DOI":"10.1016\/j.envint.2022.107213"},{"key":"10.1016\/j.envint.2024.108943_b0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.envres.2022.115109","article-title":"Cadmium exposure and risk of breast cancer: A meta-analysis","volume":"219","author":"Florez-Garcia","year":"2023","journal-title":"Environ. Res."},{"key":"10.1016\/j.envint.2024.108943_b0125","doi-asserted-by":"crossref","first-page":"57012","DOI":"10.1289\/EHP8419","article-title":"Breast cancer risk in association with atmospheric pollution exposure: A meta-analysis of effect estimates followed by a health impact assessment","volume":"129","author":"Gabet","year":"2021","journal-title":"Environ. Health Perspect."},{"key":"10.1016\/j.envint.2024.108943_b0130","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1016\/j.ijcard.2018.10.005","article-title":"On the prospect of serum exosomal miRNA profiling and protein biomarkers for the diagnosis of ascending aortic dilatation in patients with bicuspid and tricuspid aortic valve","volume":"273","author":"Gallo","year":"2018","journal-title":"Int. J. Cardiol."},{"key":"10.1016\/j.envint.2024.108943_b0135","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1016\/j.envpol.2016.04.081","article-title":"Benzo(a)pyrene in Europe: Ambient air concentrations, population exposure and health effects","volume":"214","author":"Guerreiro","year":"2016","journal-title":"Environ. Pollut."},{"key":"10.1016\/j.envint.2024.108943_b0140","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1007\/s11222-014-9471-3","article-title":"Sampling from Dirichlet process mixture models with unknown concentration parameter: Mixing issues in large data implementations","volume":"25","author":"Hastie","year":"2015","journal-title":"Stat. Comput."},{"key":"10.1016\/j.envint.2024.108943_b0145","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1080\/00401706.1970.10488634","article-title":"Ridge regression: Biased estimation for nonorthogonal problems","volume":"12","author":"Hoerl","year":"1970","journal-title":"Technometrics"},{"key":"10.1016\/j.envint.2024.108943_b0150","doi-asserted-by":"crossref","unstructured":"Hoover, J.H., Coker, E.S., Erdei, E., Luo, L., Begay, D., MacKenzie, D., NBCS Study Team, Lewis, J., 2023. Preterm Birth and Metal Mixture Exposure among Pregnant Women from the Navajo Birth Cohort Study. Environmental Health Perspectives 131, 127014. Doi: 10.1289\/EHP10361.","DOI":"10.1289\/EHP10361"},{"key":"10.1016\/j.envint.2024.108943_b0155","unstructured":"INSEE, 2024. Base du comparateur de territoires [WWW Document]. URL https:\/\/www.insee.fr\/fr\/statistiques\/2521169 (accessed 8.2.24)."},{"key":"10.1016\/j.envint.2024.108943_b0160","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1007\/s12403-021-00395-8","article-title":"Environmental and dietary exposures near a major industrial harbour (Fos-sur-Mer, France) identified as a significant pathway for PCBs and PCDD\/Fs accumulation in residents\u2019 blood serum","volume":"13","author":"Jeanjean","year":"2021","journal-title":"Expo. Health"},{"key":"10.1016\/j.envint.2024.108943_b0165","doi-asserted-by":"crossref","first-page":"17874","DOI":"10.1007\/s11356-017-9395-5","article-title":"Geographic variations in female breast cancer incidence in relation to ambient air emissions of polycyclic aromatic hydrocarbons","volume":"24","author":"Large","year":"2017","journal-title":"Environ. Sci. Pollut. Res. Int."},{"key":"10.1016\/j.envint.2024.108943_b0170","doi-asserted-by":"crossref","first-page":"13231","DOI":"10.1002\/ece3.5774","article-title":"Silhouette width using generalized mean\u2014A flexible method for assessing clustering efficiency","volume":"9","author":"Lengyel","year":"2019","journal-title":"Ecol. Evol."},{"key":"10.1016\/j.envint.2024.108943_b0175","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v064.i07","article-title":"PReMiuM: An R package for profile regression mixture models using Dirichlet processes","volume":"64","author":"Liverani","year":"2015","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.envint.2024.108943_b0180","doi-asserted-by":"crossref","unstructured":"Loomis, D., Grosse, Y., Lauby-Secretan, B., El Ghissassi, F., Bouvard, V., Benbrahim-Tallaa, L., Guha, N., Baan, R., Mattock, H., Straif, K., International Agency for Research on Cancer Monograph Working Group IARC, 2013. The carcinogenicity of outdoor air pollution. Lancet Oncol 14, 1262\u20131263. Doi: 10.1016\/s1470-2045(13)70487-x.","DOI":"10.1016\/S1470-2045(13)70487-X"},{"key":"10.1016\/j.envint.2024.108943_b0185","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1097\/01.ede.0000256320.30737.c0","article-title":"Bayesian methods for highly correlated exposure data","volume":"18","author":"MacLehose","year":"2007","journal-title":"Epidemiology"},{"key":"10.1016\/j.envint.2024.108943_b0190","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1136\/oemed-2015-103177","article-title":"Multidimensional analysis of the effect of occupational exposure to organic solvents on lung cancer risk: the ICARE study","volume":"73","author":"Mattei","year":"2016","journal-title":"Occup. Environ. Med."},{"key":"10.1016\/j.envint.2024.108943_b0195","doi-asserted-by":"crossref","first-page":"981","DOI":"10.5194\/gmd-6-981-2013","article-title":"CHIMERE 2013: A model for regional atmospheric composition modelling","volume":"6","author":"Menut","year":"2013","journal-title":"Geosci. Model Dev."},{"key":"10.1016\/j.envint.2024.108943_b0200","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1093\/biostatistics\/kxq013","article-title":"Bayesian profile regression with an application to the National survey of children\u2019s health","volume":"11","author":"Molitor","year":"2010","journal-title":"Biostatistics"},{"key":"10.1016\/j.envint.2024.108943_b0205","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2019.06.007","article-title":"Airborne mammary carcinogens and breast cancer risk in the Sister Study","volume":"130","author":"Niehoff","year":"2019","journal-title":"Environ. Int."},{"key":"10.1016\/j.envint.2024.108943_b0210","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1158\/1055-9965.EPI-21-1140","article-title":"Air pollution and breast cancer: An examination of modification by underlying familial breast cancer risk","volume":"31","author":"Niehoff","year":"2022","journal-title":"Cancer Epidemiol. Biomark. Prev."},{"key":"10.1016\/j.envint.2024.108943_b0215","article-title":"Analysis of matched case-control studies","volume":"352","author":"Pearce","year":"2016","journal-title":"BMJ"},{"key":"10.1016\/j.envint.2024.108943_b0220","doi-asserted-by":"crossref","first-page":"927","DOI":"10.3390\/cancers15030927","article-title":"Traffic-related air pollution and breast cancer risk: A systematic review and meta-analysis of observational studies","volume":"15","author":"Praud","year":"2023","journal-title":"Cancers (Basel)"},{"key":"10.1016\/j.envint.2024.108943_b0225","doi-asserted-by":"crossref","first-page":"e59","DOI":"10.1136\/oem.2004.014472","article-title":"An incidence density sampling program for nested case-control analyses","volume":"61","author":"Richardson","year":"2004","journal-title":"Occup. Environ. Med."},{"key":"10.1016\/j.envint.2024.108943_b0230","unstructured":"Rouanet, A., Johnson, R., Strauss, M.E., Richardson, S., Tom, B.D., White, S.R., Kirk, P.D.W., 2021. Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables. arXiv:2111.04518 [stat]."},{"key":"10.1016\/j.envint.2024.108943_b0235","first-page":"209","article-title":"Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"71","author":"Sung","year":"2021","journal-title":"CA Cancer J. Clin."},{"key":"10.1016\/j.envint.2024.108943_b0240","article-title":"Outdoor air pollution and cancer: An overview of the current evidence and public health recommendations","author":"Turner","year":"2020","journal-title":"CA Cancer J. Clin."},{"key":"10.1016\/j.envint.2024.108943_b0245","doi-asserted-by":"crossref","DOI":"10.1016\/j.envres.2020.109516","article-title":"Dioxin exposure and breast cancer risk in a prospective cohort study","volume":"186","author":"VoPham","year":"2020","journal-title":"Environ. Res."},{"key":"10.1016\/j.envint.2024.108943_b0250","doi-asserted-by":"crossref","first-page":"6549","DOI":"10.1080\/10408398.2021.1903382","article-title":"Endocrine disrupting chemicals and breast cancer: A systematic review of epidemiological studies","volume":"62","author":"Wan","year":"2022","journal-title":"Crit. Rev. Food Sci. Nutr."},{"key":"10.1016\/j.envint.2024.108943_b0255","doi-asserted-by":"crossref","first-page":"63278","DOI":"10.1007\/s11356-021-14903-5","article-title":"Association between long-term ambient air pollution exposure and the risk of breast cancer: a systematic review and meta-analysis","volume":"28","author":"Wei","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"10.1016\/j.envint.2024.108943_b0260","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1007\/s40471-018-0143-2","article-title":"Air pollution and breast cancer: A review","volume":"5","author":"White","year":"2018","journal-title":"Curr. Epidemiol. Rep."},{"key":"10.1016\/j.envint.2024.108943_b0265","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1097\/EDE.0000000000000917","article-title":"Metallic air pollutants and breast cancer risk in a nationwide cohort study","volume":"30","author":"White","year":"2019","journal-title":"Epidemiology"},{"key":"10.1016\/j.envint.2024.108943_b0270","doi-asserted-by":"crossref","DOI":"10.1016\/j.envres.2020.110651","article-title":"Air pollution and breast cancer risk in the Black Women\u2019s Health Study","volume":"194","author":"White","year":"2021","journal-title":"Environ. Res."},{"key":"10.1016\/j.envint.2024.108943_b0275","doi-asserted-by":"crossref","first-page":"38012","DOI":"10.1038\/srep38012","article-title":"Association between dioxin and cancer incidence and mortality: A meta-analysis","volume":"6","author":"Xu","year":"2016","journal-title":"Sci. Rep."},{"key":"10.1016\/j.envint.2024.108943_b0280","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1186\/s13058-017-0828-3","article-title":"Association between air pollution and mammographic breast density in the Breast Cancer Surveilance Consortium","volume":"19","author":"Yaghjyan","year":"2017","journal-title":"Breast Cancer Res."},{"key":"10.1016\/j.envint.2024.108943_b0285","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/s11154-019-09521-z","article-title":"Endocrine disrupting chemicals: Exposure, effects on human health, mechanism of action, models for testing and strategies for prevention","volume":"21","author":"Yilmaz","year":"2020","journal-title":"Rev. Endocr. Metab. Disord."},{"key":"10.1016\/j.envint.2024.108943_b0290","doi-asserted-by":"crossref","first-page":"665","DOI":"10.5858\/arpa.2016-0042-RA","article-title":"Phyllodes tumor of the breast: histopathologic features, differential diagnosis, and molecular\/genetic updates","volume":"140","author":"Zhang","year":"2016","journal-title":"Arch. Pathol. Lab. Med."},{"key":"10.1016\/j.envint.2024.108943_b0295","doi-asserted-by":"crossref","first-page":"e18349","DOI":"10.1097\/MD.0000000000018349","article-title":"The relationship between exposure to particulate matter and breast cancer incidence and mortality: A meta-analysis","volume":"98","author":"Zhang","year":"2019","journal-title":"Medicine (Baltimore)"}],"container-title":["Environment International"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0160412024005294?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0160412024005294?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:42:58Z","timestamp":1777491778000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0160412024005294"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":59,"alternative-id":["S0160412024005294"],"URL":"https:\/\/doi.org\/10.1016\/j.envint.2024.108943","relation":{},"ISSN":["0160-4120"],"issn-type":[{"value":"0160-4120","type":"print"}],"subject":[],"published":{"date-parts":[[2024,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multi-pollutant exposure profiles associated with breast cancer risk: A Bayesian profile regression analysis in the French E3N cohort","name":"articletitle","label":"Article Title"},{"value":"Environment International","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.envint.2024.108943","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"108943"}}