4.7 Article

Low-Dose Alkylphenol Exposure Promotes Mammary Epithelium Alterations and Transgenerational Developmental Defects, But Does Not Enhance Tumorigenic Behavior of Breast Cancer Cells

Journal

FRONTIERS IN ENDOCRINOLOGY
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fendo.2017.00272

Keywords

mammary gland; alkylphenol mix; cancer; development; estrogen receptor alpha 36

Funding

  1. Agence Nationale de Securite Sanitaire de l'Alimentation, de l'Environnement et du Travail (ANSES) [PNR EST 2012-2-014]
  2. INSERM Cancer-Environnement [ENV201304]
  3. La Ligue contre le Cancer
  4. Region Lorraine PhD fellowship

Ask authors/readers for more resources

Fetal and neonatal exposure to long-chain alkylphenols has been suspected to promote breast developmental disorders and consequently to increase breast cancer risk. However, disease predisposition from developmental exposures remains unclear. In this work, human MCF-10A mammary epithelial cells were exposed in vitro to a low dose of a realistic (4-nonylphenol + 4-tert-octylphenol) mixture. Transcriptome and cell phenotype analyses combined to functional and signaling network modeling indicated that long-chain alkylphenols triggered enhanced proliferation, migration ability, and apoptosis resistance and shed light on the underlying molecular mechanisms which involved the human estrogen receptor alpha 36 (ER alpha 36) variant. A male mouse-inherited transgenerational model of exposure to three environmentally relevant doses of the alkylphenol mix was set up in order to determine whether and how it would impact on mammary gland architecture. Mammary glands from F3 progeny obtained after intrabuccal chronic exposure of C57BL/6J PO pregnant mice followed by F1-F3 male inheritance displayed an altered histology which correlated with the phenotypes observed in vitro in human mammary epithelial cells. Since cellular phenotypes are similar in vivo and in vitro and involve the unique FR136 human variant, such consequences of alkylphenol exposure could be extrapolated from mouse model to human. However, transient alkylphenol treatments combined to ER alpha 36 overexpression in mammary epithelial cells were not sufficient to trigger tumorigenesis in xenografted Nude mice. Therefore, it remains to be determined if low-dose alkylphenol transgenerational exposure and subsequent abnormal mammary gland development could account for an increased breast cancer susceptibility.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Review Biochemistry & Molecular Biology

The Role of ERα36 in Development and Tumor Malignancy

Charlene Thiebaut, Henri-Philippe Konan, Marie-Justine Guerquin, Amand Chesnel, Gabriel Livera, Muriel Le Romancer, Helene Dumond

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2020)

Article Multidisciplinary Sciences

Head-to-head comparison of clustering methods for heterogeneous data: a simulation-driven benchmark

Gregoire Preud'homme, Kevin Duarte, Kevin Dalleau, Claire Lacomblez, Emmanuel Bresso, Malika Smail-Tabbone, Miguel Couceiro, Marie-Dominique Devignes, Masatake Kobayashi, Olivier Huttin, Joao Pedro Ferreira, Faiez Zannad, Patrick Rossignol, Nicolas Girerd

Summary: The text discusses the selection of the most appropriate unsupervised machine-learning method for heterogeneous data, comparing model-based methods to distance/dissimilarity-based methods. It concludes that model-based methods typically outperform distance-based methods for mixed data.

SCIENTIFIC REPORTS (2021)

Article Medical Informatics

Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

Emmanuel Bresso, Pierre Monnin, Cedric Bousquet, Francois-Elie Calvier, Ndeye-Coumba Ndiaye, Nadine Petitpain, Malika Smail-Tabbone, Adrien Coulet

Summary: In this study, a method using knowledge graphs to identify biomolecular features for distinguishing drug causality for ADRs was proposed. By training classifiers and extracting features, drugs causative for drug-induced liver injuries and severe cutaneous adverse reactions were successfully distinguished. The most discriminative features extracted could potentially provide insights into the mechanisms behind ADRs.

BMC MEDICAL INFORMATICS AND DECISION MAKING (2021)

Article Cardiac & Cardiovascular Systems

Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals

Masatake Kobayashi, Olivier Huttin, Martin Magnusson, Joao Pedro Ferreira, Erwan Bozec, Anne-Cecile Huby, Gregoire Preud'homme, Kevin Duarte, Zohra Lamiral, Kevin Dalleau, Emmanuel Bresso, Malika Smail-Tabbone, Marie-Dominique Devignes, Peter M. Nilsson, Margret Leosdottir, Jean-Marc Boivin, Faiez Zannad, Patrick Rossignol, Nicolas Girerd

Summary: This study identified three echocardiographic phenotypes in community-based cohorts, including mostly normal, diastolic changes, and diastolic changes with structural remodeling. These phenotypes were associated with vascular function and circulating biomarkers. In a separate cohort, they were also found to be associated with cardiovascular mortality or heart failure hospitalization.

JACC-CARDIOVASCULAR IMAGING (2022)

Article Cardiac & Cardiovascular Systems

Impact of smoking on cardiovascular risk and premature ageing: Findings from the STANISLAS cohort

Tripti Rastogi, Nicolas Girerd, Zohra Lamiral, Emmanuel Bresso, Erwan Bozec, Jean-Marc Boivin, Patrick Rossignol, Faiez Zannad, Joao Pedro Ferreira

Summary: This study aimed to investigate the impact of smoking on the cardiovascular system and circulating proteins. The results showed that current smoking is associated with signs of early onset of cardiovascular ageing and protein biomarkers that regulate inflammation, endothelial function, metabolism, oncological processes, and apoptosis.

ATHEROSCLEROSIS (2022)

Article Cell Biology

Non-genomic signaling of steroid receptors in cancer

Charlene Thiebaut, Virginie Vlaeminck-Guillem, Olivier Tredan, Coralie Poulard, Muriel Le Romancer

Summary: Steroid receptors play a crucial role in regulating cellular responses to steroids through both genomic and non-genomic signaling pathways. Research on non-genomic signaling in breast and prostate cancers has shown its clinical importance and potential for developing therapeutic strategies. Understanding the non-genomic pathways of ER, PR, AR, and GR may offer new perspectives for cancer treatment.

MOLECULAR AND CELLULAR ENDOCRINOLOGY (2021)

Article Cell Biology

GPER Agonist G-1 Disrupts Tubulin Dynamics and Potentiates Temozolomide to Impair Glioblastoma Cell Proliferation

Alex Hirtz, Nolwenn Lebourdais, Fabien Rech, Yann Bailly, Athenais Vaginay, Malika Smail-Tabbone, Helene Dubois-Pot-Schneider, Helene Dumond

Summary: Glioblastoma is the most common and aggressive brain tumor in adults, affecting men more than women. Research suggests that the hormone estrogen plays a protective role in GBM female patient survival, and that the GPER agonist G-1 can inhibit cell proliferation independent of GPER, while enhancing the efficacy of standard chemotherapy.

CELLS (2021)

Review Biology

Structure, Activity, and Function of PRMT1

Charlene Thiebaut, Louisane Eve, Coralie Poulard, Muriel Le Romancer

Summary: PRMT1, the major protein arginine methyltransferase in mammals, plays essential roles in various biological processes such as transcriptional regulation, signal transduction, and DNA repair. It catalyzes monomethylation and asymmetric dimethylation of arginine side chains in proteins, with a wide range of substrates identified including histone and non-histone proteins. The enzyme is also involved in embryonic development, DNA damage repair, and the progression of various cancers.

LIFE-BASEL (2021)

Article Biochemistry & Molecular Biology

Computational Strategy for Minimizing Mycotoxins in Cereal Crops: Assessment of the Biological Activity of Compounds Resulting from Virtual Screening

Vessela Atanasova, Emmanuel Bresso, Bernard Maigret, Natalia Florencio Martins, Florence Richard-Forget

Summary: Cereal crops are commonly affected by toxigenic Fusarium species, and there is an urgent need to develop new, environmentally-friendly plant protection solutions. Through virtual screening, two compounds were identified as potential inhibitors of fungal toxin production. Biological tests confirmed their inhibitory effects on fungal growth.

MOLECULES (2022)

Article Multidisciplinary Sciences

Inflammation and remodeling pathways and risk of cardiovascular events in patients with ischemic heart failure and reduced ejection fraction

Nicolas Girerd, John Cleland, Stefan D. Anker, William Byra, Carolyn S. P. Lam, David Lapolice, Mandeep R. Mehra, Dirk J. van Veldhuisen, Emmanuel Bresso, Zohra Lamiral, Barry Greenberg, Faiez Zannad

Summary: This study evaluated the associations between clinical events and proteomic biomarkers in patients with HF and CAD. The results showed that biomarkers associated with inflammation and remodeling mechanisms were strong predictors of various cardiovascular events.

SCIENTIFIC REPORTS (2022)

Article Computer Science, Interdisciplinary Applications

Inductive database to support iterative data mining: Application to biomarker analysis on patient data in the Fight-HF project

Emmanuel Bresso, Joao-Pedro Ferreira, Nicolas Girerd, Masatake Kobayashi, Gregoire Preud'homme, Patrick Rossignol, Fayez Zannad, Marie-Dominique Devignes, Malika Smail-Tabbone

Summary: Machine learning is an essential part of biomedical studies, but its integration into effective Learning Health Systems is still in progress. In this study, a model of an Inductive Clinical Database (ICDB) was proposed to host patient data and learned models. Experiments conducted on patient data in a heart failure project demonstrated the effectiveness of the ICDB approach in identifying biomarker combinations that are predictive of heart fibrosis phenotype and generating hypotheses about underlying mechanisms. This proof of concept paves the way for the development of a next-generation Knowledge Discovery Environment (KDE).

JOURNAL OF BIOMEDICAL INFORMATICS (2022)

Article Oncology

Identification of Gender- and Subtype-Specific Gene Expression Associated with Patient Survival in Low-Grade and Anaplastic Glioma in Connection with Steroid Signaling

Alex Hirtz, Nolwenn Lebourdais, Magalie Thomassin, Fabien Rech, Helene Dumond, Helene Dubois-Pot-Schneider

Summary: This study demonstrates a link between the expression of steroid biosynthesis enzymes or hormone receptors and patient survival in low-grade and anaplastic gliomas, which is dependent on gender and molecular subtype. The study also identifies genes associated with these steroid signaling factors and their functions, providing insights into the mechanisms underlying gender-dependent differences. These findings have important implications for refining the classification and personalized management of glioma patients.

CANCERS (2022)

Article Biochemistry & Molecular Biology

Molecular Characterization of the Dual Effect of the GPER Agonist G-1 in Glioblastoma

Alex Hirtz, Yann Bailly, Fabien Rech, Julien Pierson, Helene Dumond, Helene Dubois-Pot-Schneider

Summary: Glioblastoma is a common primary brain tumor with poor treatment outcomes. High expression of GPER1 is associated with better survival, suggesting the protective role of estrogen signaling. The G-1 agonist demonstrates anti-tumor effects on GBM.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2022)

Article Peripheral Vascular Disease

Associations of childhood adiposity with adult intima-media thickness and inflammation: a 20-year longitudinal population-based cohort

Tomona Fujikawa, Masatake Kobayashi, Sandra Wagner, Kevin Duarte, Pauline Scherdel, Barbara Heude, Vincent Dupont, Erwan Bozec, Emmanuel Bresso, Faiez Zannad, Patrick Rossignol, Nicolas Girerd

Summary: The association between childhood adiposity and increased carotid intima-media thickness (cIMT) in adults has been confirmed, which may be related to the association between childhood adiposity and inflammation in adults. However, longitudinal data on the biological pathways associated with childhood adiposity are still lacking.

JOURNAL OF HYPERTENSION (2023)

Article Statistics & Probability

A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles in oncology

B. Bastien, T. Boukhobza, H. Dumond, A. Gegout-Petit, A. Muller-Gueudin, C. Thiebaut

Summary: This article proposes a new methodology for selecting and ranking covariates associated with a variable of interest in a context of high-dimensional data under dependence but few observations. The methodology includes clustering, decorrelation, selection, and ranking, and has been validated through simulation studies. Using this method, the researchers successfully selected transcriptomic covariates that explained the survival outcome of chemotherapy in patients with advanced non-small-cell lung cancer, and defined patient profiles for a new metastatic biomarker and associated gene network in breast tumor samples to personalize treatments.

JOURNAL OF APPLIED STATISTICS (2022)

No Data Available