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Identification of Linkages between EDCs in Personal Care Products and Breast Cancer through Data Integration Combined with Gene Network Analysis

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  • Hyeri Jeong

    (Environmental Safety Group, Korea Institute of Science and Technology (KIST) Europe, Campus E 7.1, Saarbruecken D-66123, Germany
    Division of Energy and Environment Technology, KIST School, University of Science and Technology, Hwarang-ro 14-gil 5, Seoul 02792, Korea)

  • Jongwoon Kim

    (Environmental Safety Group, Korea Institute of Science and Technology (KIST) Europe, Campus E 7.1, Saarbruecken D-66123, Germany
    Division of Energy and Environment Technology, KIST School, University of Science and Technology, Hwarang-ro 14-gil 5, Seoul 02792, Korea)

  • Youngjun Kim

    (Environmental Safety Group, Korea Institute of Science and Technology (KIST) Europe, Campus E 7.1, Saarbruecken D-66123, Germany
    Division of Energy and Environment Technology, KIST School, University of Science and Technology, Hwarang-ro 14-gil 5, Seoul 02792, Korea)

Abstract

Approximately 1000 chemicals have been reported to possibly have endocrine disrupting effects, some of which are used in consumer products, such as personal care products (PCPs) and cosmetics. We conducted data integration combined with gene network analysis to: (i) identify causal molecular mechanisms between endocrine disrupting chemicals (EDCs) used in PCPs and breast cancer; and (ii) screen candidate EDCs associated with breast cancer. Among EDCs used in PCPs, four EDCs having correlation with breast cancer were selected, and we curated 27 common interacting genes between those EDCs and breast cancer to perform the gene network analysis. Based on the gene network analysis, ESR1, TP53, NCOA1, AKT1, and BCL6 were found to be key genes to demonstrate the molecular mechanisms of EDCs in the development of breast cancer. Using GeneMANIA, we additionally predicted 20 genes which could interact with the 27 common genes. In total, 47 genes combining the common and predicted genes were functionally grouped with the gene ontology and KEGG pathway terms. With those genes, we finally screened candidate EDCs for their potential to increase breast cancer risk. This study highlights that our approach can provide insights to understand mechanisms of breast cancer and identify potential EDCs which are in association with breast cancer.

Suggested Citation

  • Hyeri Jeong & Jongwoon Kim & Youngjun Kim, 2017. "Identification of Linkages between EDCs in Personal Care Products and Breast Cancer through Data Integration Combined with Gene Network Analysis," IJERPH, MDPI, vol. 14(10), pages 1-17, September.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:10:p:1158-:d:113757
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    References listed on IDEAS

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    1. Xueping Chen & Shisan Xu & Tianfeng Tan & Sin Ting Lee & Shuk Han Cheng & Fred Wang Fat Lee & Steven Jing Liang Xu & Kin Chung Ho, 2014. "Toxicity and Estrogenic Endocrine Disrupting Activity of Phthalates and Their Mixtures," IJERPH, MDPI, vol. 11(3), pages 1-13, March.
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