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Cancer discovery · 2020

Characteristics and Outcome of AKT1 E17K-Mutant Breast Cancer Defined through AACR Project GENIE, a Clinicogenomic Registry.

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Smyth Lillian M, Zhou Qin, Nguyen Bastien, Yu Celeste, Lepisto Eva M, Arnedos Monica, Hasset Michael J, Lenoue-Newton Michele L, Blauvelt Natalie, Dogan Semih, Micheel Christine M, Wathoo Chetna, Horlings Hugo, Hudecek Jan, Gross Benjamin E, Kundra Ritika, Sweeney Shawn M, Gao JianJiong, Schultz Nikolaus, Zarski Andrew, Gardos Stuart M, Lee Jocelyn, Sheffler-Collins Seth, Park Ben H, Sawyers Charles L, André Fabrice, Levy Mia, Meric-Bernstam Funda, Bedard Philippe L, Iasonos Alexia, Schrag Deborah, Hyman David M, AACR Project GENIE Consortium

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты