@article{88196,
  keywords = {Animals, Humans, Promoter Regions, Genetic, Transcription, Genetic, Mice, Female, Cell Line, Tumor, Gene Regulatory Networks, Breast Neoplasms, Gene Expression Regulation, Neoplastic, Neoplasm Invasiveness, Neoplasms, Neoplasm Metastasis, Basic-Leucine Zipper Transcription Factors, Mice, Nude, Bone Neoplasms, Mammary Neoplasms, Animal, Bone and Bones, Fanconi Anemia Complementation Group Proteins, Hypoxia, Matrix Metalloproteinase 1, Smad Proteins},
  author = {Yajun Liang and Heng Wu and Rong Lei and Robert Chong and Yong Wei and Xin Lu and Ilias Tagkopoulos and Sun-Yuan Kung and Qifeng Yang and Guohong Hu and Yibin Kang},
  title = {Transcriptional network analysis identifies BACH1 as a master regulator of breast cancer bone metastasis.},
  abstract = {<p>The application of functional genomic analysis of breast cancer metastasis has led to the identification of a growing number of organ-specific metastasis genes, which often function in concert to facilitate different steps of the metastatic cascade. However, the gene regulatory network that controls the expression of these metastasis genes remains largely unknown. Here, we demonstrate a computational approach for the deconvolution of transcriptional networks to discover master regulators of breast cancer bone metastasis. Several known regulators of breast cancer bone metastasis such as Smad4 and HIF1 were identified in our analysis. Experimental validation of the networks revealed BACH1, a basic leucine zipper transcription factor, as the common regulator of several functional metastasis genes, including MMP1 and CXCR4. Ectopic expression of BACH1 enhanced the malignance of breast cancer cells, and conversely, BACH1 knockdown significantly reduced bone metastasis. The expression of BACH1 and its target genes was linked to the higher risk of breast cancer recurrence in patients. This study established BACH1 as the master regulator of breast cancer bone metastasis and provided a paradigm to identify molecular determinants in complex pathological processes.</p>
},
  year = {2012},
  journal = {J Biol Chem},
  volume = {287},
  pages = {33533-44},
  month = {09/2012},
  issn = {1083-351X},
  doi = {10.1074/jbc.M112.392332},
  language = {eng},
}