4.4 Article

Phosphorylation of AKT and ERK1/2 and mutations of PIK3CA and PTEN are predictive of breast cancer cell sensitivity to everolimus in vitro

Journal

CANCER CHEMOTHERAPY AND PHARMACOLOGY
Volume 81, Issue 4, Pages 745-754

Publisher

SPRINGER
DOI: 10.1007/s00280-018-3543-6

Keywords

mTOR/AKT/ERK pathway; PTEN/PIK3CA mutations; Everolimus; Breast cancer; Resistance

Funding

  1. Novartis Pharma (Italy)

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Everolimus is the hydroxyethyl derivative of sirolimus and a strong inhibitor of mammalian target of rapamycin (mTOR). This drug has immunosuppressive and anticancer activities and the present in vitro study was aimed at identifying the cellular and molecular profiles of breast cancer cells predictive of sensitivity to everolimus. MCF-7, T-47D, ZR-75-1, CAMA-1, HCC-1500 and MCF-10A cells were used and viability was assessed using WST-1 dye. Sensitivity to everolimus was correlated with phosphorylation of AKT (Ser473/Thr308), mTOR (Ser2448), and ERK1/2 (Thr202/Tyr204) and mutational profile of KRAS, NRAS, BRAF, PIK3CA, PTEN, TSC1, TSC2 and FRAP genes. Protein phosphorylation was evaluated by AlphaScreen SureFire, while the mutational status was examined by digital droplet PCR and Sanger sequencing. Everolimus showed a transient growth inhibition in non-tumorigenic cells, while in tumorigenic lines the drug suppressed the proliferation in a concentration-dependent manner but with different potency (IC50) and efficacy (E (max)), being ZR-75-1 the most sensitive and T47D the least sensitive. MCF-7, T47D and HCC1500 had activating mutations in PIK3CA gene, while loss-of-activity PTEN mutations were detected in sensitive cell lines, including ZR-75-1, which showed no changes or minimal increase in the amount of p-AKT(Ser473/Thr308) and p-ERK1/2(Thr202/Tyr204) induced by everolimus compared to the resistant cell line T47D in which phosphorylation of AKT and ERK was increased. Cellular levels of p-AKT(Ser473/Thr308) and p-ERK1/2(Thr202/Tyr204), activating mutations of PIK3CA and inactivating mutations of PTEN may predict response to everolimus in breast cancer cells; these findings have potential applications for treatment personalization of everolimus in breast cancer patients.

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