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Transcription Regulation Network Analysis of MCF7 Breast Cancer Cells Exposed to Estradiol

  • Wu, Jun-Zhao (Breast Cancer Diagnosis and Treatment Center, Henan Cancer Hospital) ;
  • Lu, Peng (Department of Oncological Surgery, People's Hospital of Zhengzhou) ;
  • Liu, Rong (Academician Experts Workstation of Henan Province, People's Hospital of Zhengzhou) ;
  • Yang, Tie-Jian (Department of Oncological Surgery, People's Hospital of Zhengzhou)
  • Published : 2012.08.31

Abstract

Background: In breast cancer, estrogen receptors have been demonstrated to interact with transcription factors to regulate target gene expression. However, high-throughput identification of the transcription regulation relationship between transcription factors and their target genes in response to estradiol is still in its infancy. Purpose: Thus, the objective of our study was to interpret the transcription regulation network of MCF7 breast cancer cells exposed to estradiol. Methods: In this work, GSE11352 microarray data were used to identify differentially expressed genes (DEGs). Results: Our results showed that the MYB (v-myb myeloblastosis viral oncogene homolog [avian]), PGR (progesterone receptor), and MYC (v-myc myelocytomatosis viral oncogene homolog [avian]) were hub nodes in our transcriptome network, which may interact with ER and, in turn, regulate target gene expression. MYB can up-regulate MCM3 (minichromosome maintenance 3) and MCM7 expression; PGR can suppress BCL2 (B-cell lymphoma 2) expression; MYC can inhibit TGFB2 (transforming growth factor, beta 2) expression. These genes are associated with breast cancer progression via cell cycling and the $TGF{\beta}$ signaling pathway. Conclusion: Analysis of transcriptional regulation may provide a better understanding of molecular mechanisms and clues to potential therapeutic targets in the treatment of breast cancer.

Keywords

Regulation network;network motif analysis;breast cancer;estradiol;microarray;transcriptome network

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