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Erschienen in: Tumor Biology 7/2016

14.01.2016 | Original Article

RANK-RANKL interactions are involved in cell adhesion-mediated drug resistance in multiple myeloma cell lines

verfasst von: Masanobu Tsubaki, Tomoya Takeda, Misako Yoshizumi, Emi Ueda, Tatsuki Itoh, Motohiro Imano, Takao Satou, Shozo Nishida

Erschienen in: Tumor Biology | Ausgabe 7/2016

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Abstract

Interaction between multiple myeloma (MM) cells and the bone marrow microenvironment plays a critical role in MM pathogenesis and the development of drug resistance. Recently, it has been reported that MM cells express the receptor activator of nuclear factor-κB (NF-κB) (RANK). However, the role of the RANK/RANK ligand (RANKL) system in drug resistance remains unclear. In this study, we demonstrated a novel function of the RANK/RANKL system in promoting drug resistance in MM. We found that RANKL treatment induced drug resistance in RANK-expressing but not RANK-negative cell lines. RANKL stimulation of RANK-expressing cells increased multidrug resistance protein 1 (MDR1), breast cancer resistance protein (BCRP), and lung resistance protein 1 (LRP1) expression and decreased Bim expression through various signaling molecules. RNA silencing of Bim expression induced drug resistance, but the RANKL-mediated drug resistance could not be overcome through the RNA silencing of MDR1, BCRP, and LRP1 expression. These results indicate that the RANK/RANKL system induces chemoresistance through the activation of multiple signal transduction pathways and by decreasing Bim expression in RANK-positive MM cells. These findings may prove to be useful in the development of cell adhesion-mediated drug resistance inhibitors in RANK-positive MM cells.
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Metadaten
Titel
RANK-RANKL interactions are involved in cell adhesion-mediated drug resistance in multiple myeloma cell lines
verfasst von
Masanobu Tsubaki
Tomoya Takeda
Misako Yoshizumi
Emi Ueda
Tatsuki Itoh
Motohiro Imano
Takao Satou
Shozo Nishida
Publikationsdatum
14.01.2016
Verlag
Springer Netherlands
Erschienen in
Tumor Biology / Ausgabe 7/2016
Print ISSN: 1010-4283
Elektronische ISSN: 1423-0380
DOI
https://doi.org/10.1007/s13277-015-4761-8

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