4.7 Article

Profiling of the transcriptional response to all-trans retinoic acid in breast cancer cells reveals RARE-independent mechanisms of gene expression

Journal

SCIENTIFIC REPORTS
Volume 7, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-017-16687-6

Keywords

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Funding

  1. Canadian Institutes of Health Research (CIHR) [MOP-130304]
  2. Beatrice Hunter Cancer Research Institute (BHCRI)
  3. Breast Cancer Society of Canada
  4. QEII Health Sciences Center Foundation
  5. BHCRI
  6. Canadian Breast Cancer Foundation
  7. Canadian Imperial Bank of Commerce
  8. CGS-D awards from CIHR
  9. Nova Scotia Health Research Foundation
  10. Killam Trusts at Dalhousie University
  11. NS Research and Innovation Graduate Scholarships

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Retinoids, derivatives of vitamin A, are key physiological molecules with regulatory effects on cell differentiation, proliferation and apoptosis. As a result, they are of interest for cancer therapy. Specifically, models of breast cancer have varied responses to manipulations of retinoid signaling. This study characterizes the transcriptional response of MDA-MB-231 and MDA-MB-468 breast cancer cells to retinaldehyde dehydrogenase 1A3 (ALDH1A3) and all-trans retinoic acid (atRA). We demonstrate limited overlap between ALDH1A3-induced gene expression and atRA-induced gene expression in both cell lines, suggesting that the function of ALDH1A3 in breast cancer progression extends beyond its role as a retinaldehyde dehydrogenase. Our data reveals divergent transcriptional responses to atRA, which are largely independent of genomic retinoic acid response elements (RAREs) and consistent with the opposing responses of MDA-MB-231 and MDA-MB-468 to in vivo atRA treatment. We identify transcription factors associated with each gene set. Manipulation of the IRF1 transcription factor demonstrates that it is the level of atRA-inducible and epigenetically regulated transcription factors that determine expression of target genes (e.g. CTSS, cathepsin S). This study provides a paradigm for complex responses of breast cancer models to atRA treatment, and illustrates the need to characterize RARE-independent responses to atRA in a variety of models.

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