| Literature DB >> 31924700 |
Lillian M Smyth1, Qin Zhou2, Bastien Nguyen2, Celeste Yu3, Eva M Lepisto4, Monica Arnedos5, Michael J Hasset4, Michele L Lenoue-Newton6, Natalie Blauvelt2, Semih Dogan5, Christine M Micheel6, Chetna Wathoo7, Hugo Horlings8, Jan Hudecek8, Benjamin E Gross2, Ritika Kundra2, Shawn M Sweeney9, JianJiong Gao2, Nikolaus Schultz2, Andrew Zarski2, Stuart M Gardos2, Jocelyn Lee9, Seth Sheffler-Collins9, Ben H Park6, Charles L Sawyers2, Fabrice André5, Mia Levy6, Funda Meric-Bernstam7, Philippe L Bedard3, Alexia Iasonos2, Deborah Schrag4, David M Hyman.
Abstract
AKT inhibitors have promising activity in AKT1 E17K-mutant estrogen receptor (ER)-positive metastatic breast cancer, but the natural history of this rare genomic subtype remains unknown. Utilizing AACR Project GENIE, an international clinicogenomic data-sharing consortium, we conducted a comparative analysis of clinical outcomes of patients with matched AKT1 E17K-mutant (n = 153) and AKT1-wild-type (n = 302) metastatic breast cancer. AKT1-mutant cases had similar adjusted overall survival (OS) compared with AKT1-wild-type controls (median OS, 24.1 vs. 29.9, respectively; P = 0.98). AKT1-mutant cases enjoyed longer durations on mTOR inhibitor therapy, an observation previously unrecognized in pivotal clinical trials due to the rarity of this alteration. Other baseline clinicopathologic features, as well as durations on other classes of therapy, were broadly similar. In summary, we demonstrate the feasibility of using a novel and publicly accessible clincogenomic registry to define outcomes in a rare genomically defined cancer subtype, an approach with broad applicability to precision oncology. SIGNIFICANCE: We delineate the natural history of a rare genomically distinct cancer, AKT1 E17K-mutant ER-positive breast cancer, using a publicly accessible registry of real-world patient data, thereby illustrating the potential to inform drug registration through synthetic control data.See related commentary by Castellanos and Baxi, p. 490. ©2020 American Association for Cancer Research.Entities:
Year: 2020 PMID: 31924700 PMCID: PMC7125034 DOI: 10.1158/2159-8290.CD-19-1209
Source DB: PubMed Journal: Cancer Discov ISSN: 2159-8274 Impact factor: 39.397