Hormonal modulation of ESR1 mutant metastasis
Estrogen receptor alpha gene ( ESR1 ) mutations occur frequently in ER-positive metastatic breast cancer, and confer clinical resistance to aromatase inhibitors. Expression of the ESR1 Y537S mutation induced an epithelial–mesenchymal transition (EMT) with cells exhibiting enhanced migration and inva...
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Published in | Oncogene Vol. 40; no. 5; pp. 997 - 1011 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
04.02.2021
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Estrogen receptor alpha gene (
ESR1
) mutations occur frequently in ER-positive metastatic breast cancer, and confer clinical resistance to aromatase inhibitors. Expression of the
ESR1
Y537S mutation induced an epithelial–mesenchymal transition (EMT) with cells exhibiting enhanced migration and invasion potential in vitro. When small subpopulations of Y537S
ESR1
mutant cells were injected along with WT parental cells, tumor growth was enhanced with mutant cells becoming the predominant population in distant metastases. Y537S mutant primary xenograft tumors were resistant to the antiestrogen tamoxifen (Tam) as well as to estradiol (E
2
) withdrawal. Y537S
ESR1
mutant primary tumors metastasized efficiently in the absence of E
2
; however, Tam treatment significantly inhibited metastasis to distant sites. We identified a nine-gene expression signature, which predicted clinical outcomes of ER-positive breast cancer patients, as well as breast cancer metastasis to the lung. Androgen receptor (AR) protein levels were increased in mutant models, and the AR agonist dihydrotestosterone significantly inhibited estrogen-regulated gene expression, EMT, and distant metastasis in vivo, suggesting that AR may play a role in distant metastatic progression of
ESR1
mutant tumors. |
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Bibliography: | Authors’ Contributions Development of methodology: Guowei Gu, Lin Tian, Dan Liu, Sarah K. Herzog, Cristian Coarfa Administrative, technical or material support: Amanda R. Beyer, Sebastiano Andò, Shunqiang Li, Gordon B. Mills, Filip Janku, Xiang H.-F. Zhang Study supervision: Suzanne A.W. Fuqua, Guowei Gu Conception and design: Guowei Gu, Suzanne Fuqua Acquisition of data: Guowei Gu, Sarah K. Herzog, Hin Ching Lo, Thomas Gonzalez, Yassine Rechoum, Ralf Kittler, Lili Du, Amanda R. Beyer, Meng Gao, Derek Dustin, Luca Gelsomino, Jin-Ah Kim, Helen J. Huang, Natalie M. Fernandez, Jun Xu, Alyssa Alaniz, Charles E. Foulds, David G. Edwards, Sandra L. Grimm Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computation analysis): Guowei Gu, Suzanne A.W. Fuqua, Lin Tian, Thomas Gonzalez, Anna Tsimelzon, Susan G. Hilsenbeck, Cristian Coarfa, Sandra L. Grimm, Sarah K. Herzog, W. Fraser, Symmans Writing, review, and/or revision of the manuscript: Guowei Gu, Suzanne A.W. Fuqua, Thomas Gonzalez, Amanda R. Beyer |
ISSN: | 0950-9232 1476-5594 |
DOI: | 10.1038/s41388-020-01563-x |