| Literature DB >> 31619506 |
Vincent T Wu1, Boris Kiriazov1, Kelsey E Koch1, Vivian W Gu2, Anna C Beck1, Nicholas Borcherding3, Tiandao Li1, Peter Addo1, Zachary J Wehrspan4, Weizhou Zhang5, Terry A Braun6, Bartley J Brown6, Vimla Band7, Hamid Band7, Mikhail V Kulak1, Ronald J Weigel8,2,4.
Abstract
The AP-2γ transcription factor, encoded by the TFAP2C gene, regulates the expression of estrogen receptor-alpha (ERα) and other genes associated with hormone response in luminal breast cancer. Little is known about the role of AP-2γ in other breast cancer subtypes. A subset of HER2+ breast cancers with amplification of the TFAP2C gene locus becomes addicted to AP-2γ. Herein, we sought to define AP-2γ gene targets in HER2+ breast cancer and identify genes accounting for physiologic effects of growth and invasiveness regulated by AP-2γ. Comparing HER2+ cell lines that demonstrated differential response to growth and invasiveness with knockdown of TFAP2C, we identified a set of 68 differentially expressed target genes. CDH5 and CDKN1A were among the genes differentially regulated by AP-2γ and that contributed to growth and invasiveness. Pathway analysis implicated the MAPK13/p38δ and retinoic acid regulatory nodes, which were confirmed to display divergent responses in different HER2+ cancer lines. To confirm the clinical relevance of the genes identified, the AP-2γ gene signature was found to be highly predictive of outcome in patients with HER2+ breast cancer. We conclude that AP-2γ regulates a set of genes in HER2+ breast cancer that drive cancer growth and invasiveness. The AP-2γ gene signature predicts outcome of patients with HER2+ breast cancer and pathway analysis predicts that subsets of patients will respond to drugs that target the MAPK or retinoic acid pathways. IMPLICATIONS: A set of genes regulated by AP-2γ in HER2+ breast cancer that drive proliferation and invasion were identified and provided a gene signature that is predictive of outcome in HER2+ breast cancer. ©2019 American Association for Cancer Research.Entities:
Year: 2019 PMID: 31619506 PMCID: PMC6942205 DOI: 10.1158/1541-7786.MCR-19-0359
Source DB: PubMed Journal: Mol Cancer Res ISSN: 1541-7786 Impact factor: 5.852