Cytotoxic effect of disulfiram/copper on human glioblastoma cell lines and ALDH-positive cancer-stem-like cells

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Abstract

Background:

Glioblastoma multiforme (GBM) cells are resistant to anticancer drugs. Cancer stem cells (CSCs) are a key mediator of chemoresistance. We have reported that disulfiram (DS), an aldehyde dehydrogenase (ALDH) inhibitor, targets breast CSC-like cells. In this study, the effect of DS and combination of DS and gemcitabine (dFdC) on GBM cells and GBM stem-like cells was investigated.

Methods:

1-(4,5-Dimethylthiazol-2-yl)-3,5-diphenylformazan (MTT), combination index (CI)-isobologram, western blot, luciferase reporter gene assay, electrophoretic mobility-shift assay and ALDH analysis were used in this study.

Results:

Disulfiram is cytotoxic in GBM cell lines in a copper (Cu)-dependent manner. Disulfiram/copper enhances the cytotoxicity of dFdC. Combination index-isobologram analysis indicates a synergistic effect between DS/Cu and dFdC. Disulfiram/copper induces reactive oxygen species (ROS), activates JNK and p38 pathways and inhibits nuclear factor-kappa B activity in GBM cell lines. Disulfiram/copper may trigger intrinsic apoptotic pathway via modulation of the Bcl2 family. Disulfiram/copper abolishes stem-like cell population in GBM cell lines.

Conclusion:

Our findings indicate that the cytotoxicity of DS/Cu and the enhancing effect of DS/Cu on the cytotoxicity of dFdC in GBM stem-like cells may be caused by induction of ROS and inhibition of both ALDH and the NFkB pathway. Both DS and dFdC can traverse the blood–brain barrier. Further study may lead them into GBM chemotherapy.

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Most cited references 38

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Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors.

P Talalay, T C Chou (1984)

A generalized method for analyzing the effects of multiple drugs and for determining summation, synergism and antagonism has been proposed. The derived, generalized equations are based on kinetic principles. The method is relatively simple and is not limited by whether the dose-effect relationships are hyperbolic or sigmoidal, whether the effects of the drugs are mutually exclusive or nonexclusive, whether the ligand interactions are competitive, noncompetitive or uncompetitive, whether the drugs are agonists or antagonists, or the number of drugs involved. The equations for the two most widely used methods for analyzing synergism, antagonism and summation of effects of multiple drugs, the isobologram and fractional product concepts, have been derived and been shown to have limitations in their applications. These two methods cannot be used indiscriminately. The equations underlying these two methods can be derived from a more generalized equation previously developed by us (59). It can be shown that the isobologram is valid only for drugs whose effects are mutually exclusive, whereas the fractional product method is valid only for mutually nonexclusive drugs which have hyperbolic dose-effect curves. Furthermore, in the isobol method, it is laborious to find proper combinations of drugs that would produce an iso-effective curve, and the fractional product method tends to give indication of synergism, since it underestimates the summation of the effect of mutually nonexclusive drugs that have sigmoidal dose-effect curves. The method described herein is devoid of these deficiencies and limitations. The simplified experimental design proposed for multiple drug-effect analysis has the following advantages: It provides a simple diagnostic plot (i.e., the median-effect plot) for evaluating the applicability of the data, and provides parameters that can be directly used to obtain a general equation for the dose-effect relation; the analysis which involves logarithmic conversion and linear regression can be readily carried out with a simple programmable electronic calculator and does not require special graph paper or tables; and the simplicity of the equation allows flexibility of application and the use of a minimum number of data points. This method has been used to analyze experimental data obtained from enzymatic, cellular and animal systems.

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NF-kappaB activation by reactive oxygen species: fifteen years later.

Geoffrey Gloire, Sylvie Legrand-Poels, Jacques Piette (2006)

The transcription factor NF-kappaB plays a major role in coordinating innate and adaptative immunity, cellular proliferation, apoptosis and development. Since the discovery in 1991 that NF-kappaB may be activated by H(2)O(2), several laboratories have put a considerable effort into dissecting the molecular mechanisms underlying this activation. Whereas early studies revealed an atypical mechanism of activation, leading to IkappaBalpha Y42 phosphorylation independently of IkappaB kinase (IKK), recent findings suggest that H(2)O(2) activates NF-kappaB mainly through the classical IKK-dependent pathway. The molecular mechanisms leading to IKK activation are, however, cell-type specific and will be presented here. In this review, we also describe the effect of other ROS (HOCl and (1)O(2)) and reactive nitrogen species on NF-kappaB activation. Finally, we critically review the recent data highlighting the role of ROS in NF-kappaB activation by proinflammatory cytokines (TNF-alpha and IL-1beta) and lipopolysaccharide (LPS), two major components of innate immunity.

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Mechanisms for copper acquisition, distribution and regulation.

Byung-Eun Kim, Tracy Nevitt, Dennis Thiele (2008)

Copper (Cu) is a redox-active metal ion essential for most aerobic organisms. Cu serves as a catalytic and structural cofactor for enzymes that function in energy generation, iron acquisition, oxygen transport, cellular metabolism, peptide hormone maturation, blood clotting, signal transduction and a host of other processes. The inability to control Cu balance is associated with genetic diseases of overload and deficiency and has recently been tied to neurodegenerative disorders and fungal virulence. The essential nature of Cu, the existence of human genetic disorders of Cu metabolism and the potential impact of Cu deposition in the environment have been driving forces for detailed investigations in microbial and eukaryotic model systems. Here we review recent advances in the identification and function of cellular and systemic molecules that drive Cu accumulation, distribution and sensing.

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Author and article information

Journal

Journal ID (nlm-ta): Br J Cancer

Journal ID (iso-abbrev): Br. J. Cancer

Title: British Journal of Cancer

Publisher: Nature Publishing Group

ISSN (Print): 0007-0920

ISSN (Electronic): 1532-1827

Publication date (Print): 23 October 2012

Publication date (Electronic): 02 October 2012

Volume: 107

Issue: 9

Pages: 1488-1497

Affiliations

[1 ]Research Institute in Healthcare Science, School of Applied Sciences, University of Wolverhampton , Wolverhampton, UK

[2 ]Institute of Neuroscience of Montpellier , Montpellier, France

[3 ]Institute of Pathology and Southwest Cancer Center, Third Military Medical University , Chongqing, China

Author notes

[* ]E-mail: w.wang2@ 123456wlv.ac.uk

[4]

These authors contributed equally to this work.

Article

Publisher Item ID: bjc2012442

DOI: 10.1038/bjc.2012.442

PMC ID: 3493777

PubMed ID: 23033007

SO-VID: 97696bf3-687a-4278-a31e-c24e52797b24

License:

From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

Cytotoxic effect of disulfiram/copper on human glioblastoma cell lines and ALDH-positive cancer-stem-like cells

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Abstract

Background:

Methods:

Results:

Conclusion:

Related collections

Stress signalling in stem cells

Most cited references 38

Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors.

NF-kappaB activation by reactive oxygen species: fifteen years later.

Mechanisms for copper acquisition, distribution and regulation.

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