Valentina Gambardella 1 , Francisco Gimeno-Valiente 1 , Josefa Castillo 2,3,4 , Andrés Cervantes 2,3 , Noelia Tarazona 1,3 , Carolina Martinez-Ciarpaglini 5 , Desamparados Roda 1,3 , Tania Fleitas 1 , Pablo Tolosa 1 , Juan Miguel Cejalvo 1 , Marisol Huerta 1 , Susana Roselló 1,3 . Show Affiliations »
Abstract
PURPOSE: Despite the clinical advantage of the combination of trastuzumab and platinum-based chemotherapy in HER2-amplified tumors, resistance will eventually develop. The identification of molecular mechanisms related to primary and acquired resistance is needed. EXPERIMENTAL DESIGN: We generated lapatinib- and trastuzumab-resistant clones deriving from two different HER2-amplified gastric cancer cell lines. Molecular changes such as protein expression and gene-expression profile were evaluated to detect alterations that could be related to resistance. Functional studies in vitro were corroborated in vivo. The translational relevance of our findings was verified in a patient cohort. RESULTS: We found RPS6 activation and NRF2 to be related to anti-HER2 drug resistance. RPS6 or NRF2 inhibition with siRNA reduced viability and resistance to anti-HER2 drugs. In knockdown cells for RPS6, a decrease of NRF2 expression was demonstrated, suggesting a potential link between these two proteins. The use of a PI3K/TORC1/TORC2 inhibitor, tested in vitro and in vivo, inhibited pRPS6 and NRF2 expression and caused cell and tumor growth reduction, in anti-HER2-resistant models. In a cohort of HER2-amplified patients treated with trastuzumab and chemotherapy, a high level of NRF2 at baseline corresponds with worse progression-free survival. CONCLUSIONS: NRF2 through the PI3K/AKT/mTOR/RPS6 pathway could be a potential effector of resistance to anti-HER2 drugs in our models. RPS6 inhibition decreases NRF2 expression and restores sensitivity in HER2-amplified gastric cancer in vitro and in vivo. High NRF2 expression in gastric cancer patients predicts resistance to treatment. RPS6 and NRF2 inhibition could prevent resistance to anti-HER2 drugs. ©2018 American Association for Cancer Research.
PURPOSE: Despite the clinical advantage of the combination of trastuzumab and platinum -based chemotherapy in HER2 -amplified tumors , resistance will eventually develop. The identification of molecular mechanisms related to primary and acquired resistance is needed. EXPERIMENTAL DESIGN: We generated lapatinib - and trastuzumab -resistant clones deriving from two different HER2 -amplified gastric cancer cell lines. Molecular changes such as protein expression and gene-expression profile were evaluated to detect alterations that could be related to resistance. Functional studies in vitro were corroborated in vivo. The translational relevance of our findings was verified in a patient cohort. RESULTS: We found RPS6 activation and NRF2 to be related to anti-HER2 drug resistance. RPS6 or NRF2 inhibition with siRNA reduced viability and resistance to anti-HER2 drugs. In knockdown cells for RPS6 , a decrease of NRF2 expression was demonstrated, suggesting a potential link between these two proteins. The use of a PI3K/TORC1 /TORC2 inhibitor, tested in vitro and in vivo, inhibited pRPS6 and NRF2 expression and caused cell and tumor growth reduction, in anti-HER2 -resistant models. In a cohort of HER2 -amplified patients treated with trastuzumab and chemotherapy, a high level of NRF2 at baseline corresponds with worse progression-free survival. CONCLUSIONS: NRF2 through the PI3K/AKT /mTOR /RPS6 pathway could be a potential effector of resistance to anti-HER2 drugs in our models. RPS6 inhibition decreases NRF2 expression and restores sensitivity in HER2 -amplified gastric cancer in vitro and in vivo. High NRF2 expression in gastric cancer patients predicts resistance to treatment. RPS6 and NRF2 inhibition could prevent resistance to anti-HER2 drugs. ©2018 American Association for Cancer Research.
Entities: Chemical
Disease
Gene
Species
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Year: 2018
PMID: 30504425 DOI: 10.1158/1078-0432.CCR-18-2421
Source DB: PubMed Journal: Clin Cancer Res ISSN: 1078-0432 Impact factor: 12.531