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Data from Characteristics and Outcome of AKT1E17K-Mutant Breast Cancer Defined through AACR Project GENIE, a Clinicogenomic Registry

Authors :
David M. Hyman
Deborah Schrag
Alexia Iasonos
Philippe L. Bedard
Funda Meric-Bernstam
Mia Levy
Fabrice André
Charles L. Sawyers
Ben H. Park
Seth Sheffler-Collins
Jocelyn Lee
Stuart M. Gardos
Andrew Zarski
Nikolaus Schultz
JianJiong Gao
Shawn M. Sweeney
Ritika Kundra
Benjamin E. Gross
Jan Hudecek
Hugo Horlings
Chetna Wathoo
Christine M. Micheel
Semih Dogan
Natalie Blauvelt
Michele L. Lenoue-Newton
Michael J. Hasset
Monica Arnedos
Eva M. Lepisto
Celeste Yu
Bastien Nguyen
Qin Zhou
Lillian M. Smyth
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

AKT inhibitors have promising activity in AKT1E17K-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 AKT1E17K-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, AKT1E17K-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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........0817109907ec64ff1ced72b981c80277
Full Text :
https://doi.org/10.1158/2159-8290.c.6547928.v1