Impact of mixtures of persistent organic pollutants on breast cancer aggressiveness
Introduction: Breast cancer (BC) is frequent with a poor prognosis in case of metastasis. The role of the environment has been poorly evaluated in its progression. We searched to assess whether a mixture of pollutants could be responsible of BC aggressiveness. Methods: Patients undergoing surgery fo...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Environment International |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412022005426 |
| _version_ | 1811185464694013952 |
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| author | Louise Benoit Meriem Koual Céline Tomkiewicz Anne-Sophie Bats Jean-Philippe Antignac Xavier Coumoul Robert Barouki German Cano-Sancho |
| author_facet | Louise Benoit Meriem Koual Céline Tomkiewicz Anne-Sophie Bats Jean-Philippe Antignac Xavier Coumoul Robert Barouki German Cano-Sancho |
| author_sort | Louise Benoit |
| collection | DOAJ |
| description | Introduction: Breast cancer (BC) is frequent with a poor prognosis in case of metastasis. The role of the environment has been poorly evaluated in its progression. We searched to assess whether a mixture of pollutants could be responsible of BC aggressiveness. Methods: Patients undergoing surgery for their BC were prospectively included in the METAPOP cohort. Forty-two POPs were extracted, among them 17 dioxins (PCDD/F), 16 polychlorobiphenyls (PCB), 8 polybromodiphenylethers (PBDE) and 2,2′,4,4′,5,5′-hexabromobiphenyl (PBB153) were measured in the adipose tissue surrounding the tumor. BC aggressiveness was defined using tumor size and metastasis (distant or lymph nodes). Two complementary models were used to evaluate the impact of the mixture of pollutants: the BKMR (Bayesian Kernel machine regression) and WQS (weighted quantile sum regression) models. The WQS estimates the weight (positive or negative) of a certain chemical based on its quantile and the BKMR model applies a kernel-based approach to estimate posterior inclusion probabilities. The sub-group of patients with a body mass index (BMI) > 22 kg/ m2 was also analyzed. Results: Ninety-one patients were included. Of these, 38 patients presented a metastasis, and the mean tumor size was 25.4 mm. The mean BMI was 24.5 kg/m2 (+/- 4.1). No statistical association was found in the general population. However, in patients with a BMI > 22 kg/ m2, our mixture was positively associated with tumor size (OR: 9.73 95 %CI: 1.30–18.15) and metastasis (OR = 3.98 95 %CI = 1.09–17.53) using the WQS model. Moreover, using the BKMR model on chemical families, dioxin like chemicals and PCDD were associated with a higher risk of metastasis. Discussion: These novel findings identified a mixture associated with breast cancer aggressiveness in patients with a BMI > 22 kg/ m2. |
| first_indexed | 2024-04-11T13:29:48Z |
| format | Article |
| id | doaj.art-3f6ff450000745cf8a1265b059c1566d |
| institution | Directory Open Access Journal |
| issn | 0160-4120 |
| language | English |
| last_indexed | 2024-04-11T13:29:48Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environment International |
| spelling | doaj.art-3f6ff450000745cf8a1265b059c1566d2022-12-22T04:21:52ZengElsevierEnvironment International0160-41202022-12-01170107615Impact of mixtures of persistent organic pollutants on breast cancer aggressivenessLouise Benoit0Meriem Koual1Céline Tomkiewicz2Anne-Sophie Bats3Jean-Philippe Antignac4Xavier Coumoul5Robert Barouki6German Cano-Sancho7INSERM UMR-S 1124, T3S, Toxicologie Environnementale, Cibles thérapeutiques, Signalisation cellulaire et Biomarqueurs, France; Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges-Pompidou, Service de Chirurgie Cancérologique Gynécologique et du Sein, Paris, France; Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, France; Corresponding author at: INSERM UMR-S 1124, T3S, Toxicologie Environnementale, Cibles thérapeutiques, Signalisation cellulaire et Biomarqueurs, France.INSERM UMR-S 1124, T3S, Toxicologie Environnementale, Cibles thérapeutiques, Signalisation cellulaire et Biomarqueurs, France; Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges-Pompidou, Service de Chirurgie Cancérologique Gynécologique et du Sein, Paris, France; Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, FranceINSERM UMR-S 1124, T3S, Toxicologie Environnementale, Cibles thérapeutiques, Signalisation cellulaire et Biomarqueurs, FranceAssistance Publique-Hôpitaux de Paris, Hôpital Européen Georges-Pompidou, Service de Chirurgie Cancérologique Gynécologique et du Sein, Paris, France; Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, France; INSERM UMR-S 1147, Université Paris Cité, Centre de Recherche des Cordeliers, Paris, FranceLABERCA, Oniris, INRAE, 44307 Nantes, FranceINSERM UMR-S 1124, T3S, Toxicologie Environnementale, Cibles thérapeutiques, Signalisation cellulaire et Biomarqueurs, France; Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, FranceINSERM UMR-S 1124, T3S, Toxicologie Environnementale, Cibles thérapeutiques, Signalisation cellulaire et Biomarqueurs, France; Université Paris Cité, 45 rue des Saints-Pères, 75006 Paris, FranceLABERCA, Oniris, INRAE, 44307 Nantes, FranceIntroduction: Breast cancer (BC) is frequent with a poor prognosis in case of metastasis. The role of the environment has been poorly evaluated in its progression. We searched to assess whether a mixture of pollutants could be responsible of BC aggressiveness. Methods: Patients undergoing surgery for their BC were prospectively included in the METAPOP cohort. Forty-two POPs were extracted, among them 17 dioxins (PCDD/F), 16 polychlorobiphenyls (PCB), 8 polybromodiphenylethers (PBDE) and 2,2′,4,4′,5,5′-hexabromobiphenyl (PBB153) were measured in the adipose tissue surrounding the tumor. BC aggressiveness was defined using tumor size and metastasis (distant or lymph nodes). Two complementary models were used to evaluate the impact of the mixture of pollutants: the BKMR (Bayesian Kernel machine regression) and WQS (weighted quantile sum regression) models. The WQS estimates the weight (positive or negative) of a certain chemical based on its quantile and the BKMR model applies a kernel-based approach to estimate posterior inclusion probabilities. The sub-group of patients with a body mass index (BMI) > 22 kg/ m2 was also analyzed. Results: Ninety-one patients were included. Of these, 38 patients presented a metastasis, and the mean tumor size was 25.4 mm. The mean BMI was 24.5 kg/m2 (+/- 4.1). No statistical association was found in the general population. However, in patients with a BMI > 22 kg/ m2, our mixture was positively associated with tumor size (OR: 9.73 95 %CI: 1.30–18.15) and metastasis (OR = 3.98 95 %CI = 1.09–17.53) using the WQS model. Moreover, using the BKMR model on chemical families, dioxin like chemicals and PCDD were associated with a higher risk of metastasis. Discussion: These novel findings identified a mixture associated with breast cancer aggressiveness in patients with a BMI > 22 kg/ m2.http://www.sciencedirect.com/science/article/pii/S0160412022005426Adipose tissueMammary cancerEndocrine disrupting chemicalsEnvironmental exposureMetastasis |
| spellingShingle | Louise Benoit Meriem Koual Céline Tomkiewicz Anne-Sophie Bats Jean-Philippe Antignac Xavier Coumoul Robert Barouki German Cano-Sancho Impact of mixtures of persistent organic pollutants on breast cancer aggressiveness Environment International Adipose tissue Mammary cancer Endocrine disrupting chemicals Environmental exposure Metastasis |
| title | Impact of mixtures of persistent organic pollutants on breast cancer aggressiveness |
| title_full | Impact of mixtures of persistent organic pollutants on breast cancer aggressiveness |
| title_fullStr | Impact of mixtures of persistent organic pollutants on breast cancer aggressiveness |
| title_full_unstemmed | Impact of mixtures of persistent organic pollutants on breast cancer aggressiveness |
| title_short | Impact of mixtures of persistent organic pollutants on breast cancer aggressiveness |
| title_sort | impact of mixtures of persistent organic pollutants on breast cancer aggressiveness |
| topic | Adipose tissue Mammary cancer Endocrine disrupting chemicals Environmental exposure Metastasis |
| url | http://www.sciencedirect.com/science/article/pii/S0160412022005426 |
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