Literature DB >> 21703291

Sulfur amino acid metabolism in doxorubicin-resistant breast cancer cells.

Chang Seon Ryu1, Hui Chan Kwak, Kye Sook Lee, Keon Wook Kang, Soo Jin Oh, Ki Ho Lee, Hwan Mook Kim, Jin Yeul Ma, Sang Kyum Kim.   

Abstract

Although methionine dependency is a phenotypic characteristic of tumor cells, it remains to be determined whether changes in sulfur amino acid metabolism occur in cancer cells resistant to chemotherapeutic medications. We compared expression/activity of sulfur amino acid metabolizing enzymes and cellular levels of sulfur amino acids and their metabolites between normal MCF-7 cells and doxorubicin-resistant MCF-7 (MCF-7/Adr) cells. The S-adenosylmethionine/S-adenosylhomocysteine ratio, an index of transmethylation potential, in MCF-7/Adr cells decreased to ~10% relative to that in MCF-7 cells, which may have resulted from down-regulation of S-adenosylhomocysteine hydrolase. Expression of homocysteine-clearing enzymes, such as cystathionine beta-synthase, methionine synthase/methylene tetrahydrofolate reductase, and betaine homocysteine methyltransferase, was up-regulated in MCF-7/Adr cells, suggesting that acquiring doxorubicin resistance attenuated methionine-dependence and activated transsulfuration from methionine to cysteine. Homocysteine was similar, which is associated with a balance between the increased expressions of homocysteine-clearing enzymes and decreased extracellular homocysteine. Despite an elevation in cysteine, cellular GSH decreased in MCF-7/Adr cells, which was attributed to over-efflux of GSH into the medium and down-regulation of the GSH synthesis enzyme. Consequently, MCF-7/Adr cells were more sensitive to the oxidative stress induced by bleomycin and menadione than MCF-7 cells. In conclusion, our results suggest that regulating sulfur amino acid metabolism may be a possible therapeutic target for chemoresistant cancer cells. These results warrant further investigations to determine the role of sulfur amino acid metabolism in acquiring anticancer drug resistance in cancer cells using chemical and biological regulators involved in sulfur amino acid metabolism.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21703291     DOI: 10.1016/j.taap.2011.06.004

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  9 in total

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2.  A Multiscale Map of the Stem Cell State in Pancreatic Adenocarcinoma.

Authors:  Nikki K Lytle; L Paige Ferguson; Nirakar Rajbhandari; Kathryn Gilroy; Raymond G Fox; Anagha Deshpande; Christian M Schürch; Michael Hamilton; Neil Robertson; Wei Lin; Pawan Noel; Martin Wartenberg; Inti Zlobec; Micha Eichmann; José A Galván; Eva Karamitopoulou; Tami Gilderman; Lourdes Adriana Esparza; Yutaka Shima; Philipp Spahn; Randall French; Nathan E Lewis; Kathleen M Fisch; Roman Sasik; Sara Brin Rosenthal; Marcie Kritzik; Daniel Von Hoff; Haiyong Han; Trey Ideker; Aniruddha J Deshpande; Andrew M Lowy; Peter D Adams; Tannishtha Reya
Journal:  Cell       Date:  2019-04-04       Impact factor: 41.582

Review 3.  Emerging roles of cystathionine β-synthase in various forms of cancer.

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Journal:  Redox Biol       Date:  2022-05-10       Impact factor: 10.787

4.  Serial expression analysis of breast tumors during neoadjuvant chemotherapy reveals changes in cell cycle and immune pathways associated with recurrence and response.

Authors:  Mark Jesus M Magbanua; Denise M Wolf; Christina Yau; Sarah E Davis; Julia Crothers; Alfred Au; Christopher M Haqq; Chad Livasy; Hope S Rugo; Laura Esserman; John W Park; Laura J van 't Veer
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Authors:  Jonathan D Herman; Daniel P Rice; Ulf Ribacke; Jacob Silterra; Amy A Deik; Eli L Moss; Kate M Broadbent; Daniel E Neafsey; Michael M Desai; Clary B Clish; Ralph Mazitschek; Dyann F Wirth
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

Review 6.  A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response.

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8.  Platinum-based drug-induced depletion of amino acids in the kidneys and liver.

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Journal:  Front Oncol       Date:  2022-09-21       Impact factor: 5.738

9.  Metabolomic approach to evaluating adriamycin pharmacodynamics and resistance in breast cancer cells.

Authors:  Bei Cao; Mengjie Li; Weibin Zha; Qijin Zhao; Rongrong Gu; Linsheng Liu; Jian Shi; Jun Zhou; Fang Zhou; Xiaolan Wu; Zimei Wu; Guangji Wang; Jiye Aa
Journal:  Metabolomics       Date:  2013-03-20       Impact factor: 4.290

  9 in total

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