Genetic Alterations in the PI3K/AKT Pathway and Baseline AKT Activity Define AKT Inhibitor Sensitivity in Breast Cancer Patient-derived Xenografts.

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Date
2020-07Author
Gris-Oliver, A
Palafox, M
Monserrat, L
Brasó-Maristany, F
Òdena, A
Sánchez-Guixé, M
Ibrahim, YH
Villacampa, G
Grueso, J
Parés, M
Guzmán, M
Rodríguez, O
Bruna, A
Hirst, CS
Barnicle, A
de Bruin, EC
Reddy, A
Schiavon, G
Arribas, J
Mills, GB
Caldas, C
Dienstmann, R
Prat, A
Nuciforo, P
Razavi, P
Scaltriti, M
Turner, NC
Saura, C
Davies, BR
Oliveira, M
Serra, V
Type
Journal Article
Metadata
Show full item recordAbstract
Purpose AZD5363/capivasertib is a pan-AKT catalytic inhibitor with promising activity in combination with paclitaxel in triple-negative metastatic breast cancer harboring PI3K/AKT-pathway alterations and in estrogen receptor-positive breast cancer in combination with fulvestrant. Here, we aimed to identify response biomarkers and uncover mechanisms of resistance to AZD5363 and its combination with paclitaxel. Experimental design Genetic and proteomic markers were analyzed in 28 HER2-negative patient-derived xenografts (PDXs) and in patient samples, and correlated to AZD5363 sensitivity as single agent and in combination with paclitaxel. Results Four PDX were derived from patients receiving AZD5363 in the clinic which exhibited concordant treatment response. Mutations in PIK3CA / AKT1 and absence of mTOR complex 1 (mTORC1)-activating alterations, for example, in MTOR or TSC1 , were associated with sensitivity to AZD5363 monotherapy. Interestingly, excluding PTEN from the composite biomarker increased its accuracy from 64% to 89%. Moreover, resistant PDXs exhibited low baseline pAKT S473 and residual pS6 S235 upon treatment, suggesting that parallel pathways bypass AKT/S6K1 signaling in these models. We identified two mechanisms of acquired resistance to AZD5363: cyclin D1 overexpression and loss of AKT1 p.E17K. Conclusions This study provides insight into putative predictive biomarkers of response and acquired resistance to AZD5363 in HER2-negative metastatic breast cancer.
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Research team
Molecular Oncology
Preclinical Modelling of Paediatric Cancer Evolution
Language
eng
Date accepted
2020-03-24
License start date
2020-07
Citation
Clinical cancer research : an official journal of the American Association for Cancer Research, 2020, 26 (14), pp. 3720 - 3731