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Characteristics and Outcome of AKT1 E17K-Mutant Breast Cancer Defined through AACR Project GENIE, a Clinicogenomic Registry
Author(s) -
Lillian M. Smyth,
Qin Zhou,
Bastien Nguyen,
Celeste Yu,
Eva M. Lepisto,
Mónica Arnedos,
Michael J. Hasset,
Michele L. Lenoue-Newton,
Natalie Blauvelt,
Semih Doğan,
Christine Micheel,
Chetna Wathoo,
Hugo M. Horlings,
Jan Hudeček,
Benjamin Groß,
Ritika Kundra,
Shawn M. Sweeney,
Jianjiong Gao,
Nikolaus Schultz,
Andrew Zarski,
Stuart M. Gardos,
Jocelyn Lee,
Seth ShefflerCollins,
Ben Ho Park,
Charles L. Sawyers,
Fabrice André,
Mia Levy,
Funda MericBernstam,
Philippe L. Bédard,
Alexia Iasonos,
Deborah Schrag,
David M. Hyman
Publication year - 2020
Publication title -
cancer discovery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.795
H-Index - 163
eISSN - 2159-8290
pISSN - 2159-8274
DOI - 10.1158/2159-8290.cd-19-1209
Subject(s) - akt1 , mutant , cancer , breast cancer , outcome (game theory) , medicine , computational biology , bioinformatics , oncology , biology , genetics , gene , signal transduction , mathematics , pi3k/akt/mtor pathway , mathematical economics
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 .

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