Valentina Vircillo, Saverio Minucci, Giancarlo Pruneri, Marco Angelo Colleoni, Antonino Neri, Giuseppe Viale, Andreas Trumpp, Massimo Saini, Ylenia Perone, Sung-Pil Hong, Giacomo Corleone, Iros Barozzi, Pernette J Verschure, Mannus H Kempe, Sonia Fabris, Raffaella Maria Gadaleta, Gianmaria Frige, Simak Ali, Luca Magnani
Journal: Nature genetics 2017;49(3):444-450
PMID: 28112739
Tumor evolution is shaped by many variables, potentially involving external selective pressures induced by therapies. After surgery, patients with estrogen receptor (ERα)-positive breast cancer are treated with adjuvant endocrine therapy, including selective estrogen receptor modulators (SERMs) and/or aromatase inhibitors (AIs). However, more than 20% of patients relapse within 10 years and eventually progress to incurable metastatic disease. Here we demonstrate that the choice of therapy has a fundamental influence on the genetic landscape of relapsed diseases. We found that 21.5% of AI-treated, relapsed patients had acquired CYP19A1 (encoding aromatase) amplification (CYP19A1). Relapsed patients also developed numerous mutations targeting key breast cancer-associated genes, including ESR1 and CYP19A1. Notably, CYP19A1 cells also emerged in vitro, but only in AI-resistant models. CYP19A1 amplification caused increased aromatase activity and estrogen-independent ERα binding to target genes, resulting in CYP19A1 cells showing decreased sensitivity to AI treatment. These data suggest that AI treatment itself selects for acquired CYP19A1 and promotes local autocrine estrogen signaling in AI-resistant metastatic patients.
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