Artículo

All-trans retinoic acid and protein kinase C α/β1 inhibitor combined treatment targets cancer stem cells and impairs breast tumor progression

Berardi, Damian Emilio Icon; Ariza Bareño, Lizeth Aixa Icon; Amigo, Natalia Icon; Cañonero, Luciana Icon; Pelagatti, Maria de las Nieves ; Motter, Andrea Nora ; Taruselli, María Agustina ; Díaz Bessone, María Inés Icon; Cirigliano, Stéfano Martín Icon; Edelstein, Alexis ; Peters, María Giselle Icon; Diament, Miriam ; Urtreger, Alejandro Jorge Icon; Todaro, Laura Beatriz Icon

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Fecha

12/2021

Editorial

Nature Publishing Group

Revista

Scientific Reports

Título del libro

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

2045-2322

eISSN

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

Breast cancer is the leading cause of cancer death among women worldwide. Blocking a single signaling pathway is often an ineffective therapy, especially in the case of aggressive or drug-resistant tumors. Since we have previously described the mechanism involved in the crosstalk between Retinoic Acid system and protein kinase C (PKC) pathway, the rationale of our study was to evaluate the effect of combining all-trans-retinoic acid (ATRA) with a classical PCK inhibitor (Gö6976) in preclinical settings. Employing hormone-independent mammary cancer models, Gö6976 and ATRA combined treatment induced a synergistic reduction in proliferative potential that correlated with an increased apoptosis and RARs modulation towards an anti-oncogenic profile. Combined treatment also impairs growth, self-renewal and clonogenicity potential of cancer stem cells and reduced tumor growth, metastatic spread and cancer stem cells frequency in vivo. An in-silico analysis of “Kaplan–Meier plotter” database indicated that low PKCα together with high RARα mRNA expression is a favorable prognosis factor for hormone-independent breast cancer patients. Here we demonstrate that a classical PKC inhibitor potentiates ATRA antitumor effects also targeting cancer stem cells growth, self-renewal and frequency.

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