Literature DB >> 34773240

Identification of epigenetic modifications mediating the antagonistic effect of selenium against cadmium-induced breast carcinogenesis.

Zhuo-Zhi Liang1, Yi-Xin Zhang1, Rui-Mei Zhu1,2, Yue-Lin Li1,2, Hong-Mei Jiang1, Ruo-Bi Li1, Qian-Xin Chen1, Qing Wang1, Lu-Ying Tang3, Ze-Fang Ren4.   

Abstract

The antagonistic effect of selenium (Se) against cadmium (Cd)-induced breast carcinogenesis was reported, but underlying mechanisms were unclear. The aim of this study was to identify the epigenetically regulated genes and biological pathways mediating the antagonistic effect. We exposed MCF-7 cells to Cd and Se alone or simultaneously. Cell proliferation was assessed by MTT assay, and differential epigenome (DNA methylation, microRNA, and long non-coding RNA) was obtained by microarrays. We cross-verified the epigenetic markers with differential transcriptome, and the ones modulated by Cd and Se in opposite directions were regarded to mediate the antagonistic effect. The epigenetically regulated genes were validated by using gene expression data in human breast tissues. We further assessed the biological functions of these validated genes. Our results showed that Se alleviated the proliferative effect of Cd on MCF-7 cell. A total of 10 epigenetically regulated genes were regarded to mediate the antagonistic effect, including APBA2, KIAA0895, DHX35, CPEB3, SVIL, MYLK, ZFYVE28, ABLIM2, GRB10, and PCDH9. Biological function analyses suggested that these epigenetically regulated genes were involved in multiple cancer-related pathways, such as focal adhesion and PI3K/Akt pathway. In conclusion, we provided evidence that Se antagonized the Cd-induced breast carcinogenesis via epigenetic modification and revealed the critical pathways.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Breast cancer; Cadmium; LncRNA; Methylation; MiRNA; Selenium

Mesh:

Substances:

Year:  2021        PMID: 34773240     DOI: 10.1007/s11356-021-17355-z

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

Review 1.  Gene-environment interactions in Alzheimer disease: the emerging role of epigenetics.

Authors:  Lucia Migliore; Fabio Coppedè
Journal:  Nat Rev Neurol       Date:  2022-09-30       Impact factor: 44.711

2.  Application of Feature Selection and Deep Learning for Cancer Prediction Using DNA Methylation Markers.

Authors:  Rahul Gomes; Nijhum Paul; Nichol He; Aaron Francis Huber; Rick J Jansen
Journal:  Genes (Basel)       Date:  2022-08-29       Impact factor: 4.141

  2 in total

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