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The latency of peroxisomal catalase in terms of effectiveness factor for pancreatic and glioblastoma cancer cell lines in the presence of high concentrations of H2O2: Implications for the use of pharmacological ascorbate in cancer therapy
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The latency of peroxisomal catalase in terms of effectiveness factor for pancreatic and glioblastoma cancer cell lines in the presence of high concentrations of H2O2: Implications for the use of pharmacological ascorbate in cancer therapy

Dieanira T. Erudaitius, Garry R. Buettner and Victor G. J. Rodgers
Free radical biology & medicine, Vol.156, pp.20-25
08/20/2020
DOI: 10.1016/j.freeradbiomed.2020.05.023
PMCID: PMC7434663
PMID: 32522584
url
https://doi.org/10.1016/j.freeradbiomed.2020.05.023View
Published (Version of record) Open Access

Abstract

Previous research has identified variation in cancer cell line response to high levels of extracellular H2O2 (eH(2)O(2)) exposure. This directly contributes to our understanding cellular efficacy of pharmacological ascorbate (P-AscH(-)) therapy. Here we investigate the factors contributing to latency of peroxisomal catalase of a cell and the importance of latency in evaluating cell exposure to eH(2)O(2). First, we develop a mathematical framework for the latency of catalase in terms of an effectiveness factor, eta(eff), to describe the catalase activity in the presence of high levels of eH(2)O(2). A simplified relationship emerges, eta(eff) = 3m(p)/(k(2)C(Catp)r(p)) when m(p)r(p)/D-ij << 1, where m(p), r(p), and k(2)C(Catp) are the experimentally determined peroxisome permeability, average peroxisome radius, and the pseudo first-order reaction rate constant, respectively. C-Catp is the catalase concentration in the peroxisome and k(2) = 1.7 x 10 M-1 s(-1). Next, previously published parameters are used to determine the latency effect of the cell lines: normal pancreatic cells (H6c7), pancreatic cancer cells (MIA PaCa-2), and glioblastoma cells (LN-229, T98G, and U-87), all which vary in their susceptibility to exposure to high eH(2)O(2). The results show that effectiveness is not significantly different except for the most susceptible, MIA PaCa-2 cell line, which is higher when compared to all other cell lines. This result is counterintuitive and further implies that latency, as a single parameter, is ineffective in forecasting cell line susceptibility to P-AscH- therapy equivalent eH(2)O. Thus, further research remains necessary to identify why cancer cells vary in susceptibility to P-AscH- therapy.
Biochemistry & Molecular Biology Endocrinology & Metabolism Life Sciences & Biomedicine Science & Technology

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