Literature DB >> 29729272

Designing an effective drug combination for ER stress loading in cancer therapy using a real-time monitoring system.

Hiromi Kazama1, Masaki Hiramoto1, Kana Miyahara2, Naoharu Takano1, Keisuke Miyazawa3.   

Abstract

Excess stress caused by accumulation of misfolded proteins inside the endoplasmic reticulum (ER) lumen can cause cells to undergo apoptosis. Misfolded proteins exported from ER to cytoplasm are ubiquitinated and mostly degraded by the proteasome, but can also be destroyed by autophagy mediated by the docking proteins p62 and NBR1. When misfolded proteins accumulate beyond the capacity of these clearance systems, they are transported to the microtubule organization center to form aggresomes, which are also degraded by autophagy. Together, these phenomena suggest the existence of a coordinated intracellular network for coping with the accumulation of misfolded proteins. Thus, rational inhibition of this network system might enhance killing of cancer cells subjected to pronounced ER stress loading. Based on this rationale, we sought to establish a quantitative assay for monitoring ER stress loading. MDA-MB231 cells stably transfected with the ERAI-Venus vector exhibited a strong XBP1 splicing signal in response to ER stress. Using the IncuCyte cell imaging system, we monitored the fluorescence intensity of XBP1-Venus, normalized against cell density, as an ER stress indicator. This parameter correlated closely with other reporters of unfolded protein responses. Assessment of the XBP1-Venus signal during exposure to various drug combinations revealed that simultaneous inhibition of the proteasome, autophagy, and aggresome formation led to more effective ER stress loading and higher cytotoxicity than inhibition of only two components. Our data suggest that this monitoring system is a useful tool for designing effective drug combinations for ER stress loading in cancer therapy.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aggresom; Autophagy; Breast cancer; Cancer; ER stress; ERAI-Venus; Proteasome; XBP1

Mesh:

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Year:  2018        PMID: 29729272     DOI: 10.1016/j.bbrc.2018.05.001

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  3 in total

1.  Deep Learning-Based Morphological Classification of Endoplasmic Reticulum Under Stress.

Authors:  Yuanhao Guo; Di Shen; Yanfeng Zhou; Yutong Yang; Jinzhao Liang; Yating Zhou; Ningning Li; Yu Liu; Ge Yang; Wenjing Li
Journal:  Front Cell Dev Biol       Date:  2022-01-21

2.  Induction of synergistic non-apoptotic cell death by simultaneously targeting proteasomes with bortezomib and histone deacetylase 6 with ricolinostat in head and neck tumor cells.

Authors:  Kazuhiro Hattori; Naoharu Takano; Hiromi Kazama; Shota Moriya; Keitaro Miyake; Masaki Hiramoto; Kiyoaki Tsukahara; Keisuke Miyazawa
Journal:  Oncol Lett       Date:  2021-07-22       Impact factor: 2.967

3.  Lysosome‑targeted drug combination induces multiple organelle dysfunctions and non‑canonical death in pancreatic cancer cells.

Authors:  Sumire Suzuki; Masato Ogawa; Masaya Miyazaki; Kohki Ota; Hiromi Kazama; Ayako Hirota; Naoharu Takano; Masaki Hiramoto; Keisuke Miyazawa
Journal:  Oncol Rep       Date:  2021-12-27       Impact factor: 3.906

  3 in total

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