Literature DB >> 32534214

GC-MS based comparative metabolomic analysis of MCF-7 and MDA-MB-231 cancer cells treated with Tamoxifen and/or Paclitaxel.

Mohammad H Semreen1, Hasan Alniss2, Stefano Cacciatore3, Rafat El-Awady4, Muath Mousa5, Ahmed M Almehdi5, Waseem El-Huneidi6, Luiz Zerbini3, Nelson C Soares4.   

Abstract

Breast cancer cells MCF-7 and MDA-MB-231 were treated with Tamoxifen (5 μM) or Paclitaxel (1 μM) or with a combination of the two drugs. Herein, we have employed gas chromatography coupled with mass spectroscopy to identify metabolic changes occurring as response to different drug treatments. We report the identification of sixty-one metabolites and overall the two studied cell lines showed a distinct metabolomic profile from each other. Further data analysis indicates that a total of 30 metabolites were significantly differentially abundant in MCF-7 drug-treated cells, most of the metabolic changes occurred when cells were treated with either Tamoxifen (15) or Paclitaxel (25). On the other side, a total of 31 metabolites were significantly differentially abundant in MDA-MB-31 cells with drug treatment. Similarly, to MCF-7 most of the metabolic changes occurred when cells were treated with either Tamoxifen (19) or Paclitaxel (20). In conclusion, this report demonstrates that Tamoxifen and/or Paclitaxel treatment have a pronounced effect on the main metabolic pathways in both breast cancer (BC) cell lines (MCF-7 and MDA-MB231), which could be used as a foundation for future investigations to understand the possible effect of these drugs on different metabolic pathways. SIGNIFICANCE: Metabolic profiling of cancer cells is a promising tool in tumor diagnosis, biomarker discovery and drug treatment protocols, since cancer cells exhibit altered metabolism when compared to normal cells. Although numerous studies have reported the use of various OMICs applications to investigate breast cancer cells, very few of these have performed thorough screening of metabolites in such cells. Our investigation highlights the first study to characterize MCF7 and MDA-MB-231 cancer cells treated with Tamoxifen and/or Paclitaxel and to identify the affected metabolic pathways. Such findings might play an important role in revealing the molecular bases of the underlying mechanism of action of these two frontline anti-breast cancer drugs.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  And paclitaxel; Breast cancer cells; Gas chromatography- mass spectrometry (GC–MS); MCF-7; MDA-MB-231; Metabolomics; Tamoxifen

Mesh:

Substances:

Year:  2020        PMID: 32534214     DOI: 10.1016/j.jprot.2020.103875

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  5 in total

1.  Untargeted Metabolomics of Breast Cancer Cells MCF-7 and SkBr3 Treated With Tamoxifen/Trastuzumab.

Authors:  Basma M Sharaf; Alexander D Giddey; Hasan Alniss; Hamza M Al-Hroub; Raafat El-Awady; Muath Mousa; Ahmed Almehdi; Nelson C Soares; Mohammad H Semreen
Journal:  Cancer Genomics Proteomics       Date:  2022 Jan-Feb       Impact factor: 4.069

2.  Effect of fibronectin, FGF-2, and BMP4 in the stemness maintenance of BMSCs and the metabolic and proteomic cues involved.

Authors:  Lingling Chen; Morgan Carlton; Xiaodan Chen; Navdeep Kaur; Hollie Ryan; Tony J Parker; Zhengmei Lin; Yin Xiao; Yinghong Zhou
Journal:  Stem Cell Res Ther       Date:  2021-03-06       Impact factor: 6.832

Review 3.  Tumor Glucose and Fatty Acid Metabolism in the Context of Anthracycline and Taxane-Based (Neo)Adjuvant Chemotherapy in Breast Carcinomas.

Authors:  Anna Mária Tőkés; Stefan Vári-Kakas; Janina Kulka; Beáta Törőcsik
Journal:  Front Oncol       Date:  2022-03-31       Impact factor: 6.244

4.  Development of an LC-MS Targeted Metabolomics Methodology to Study Proline Metabolism in Mammalian Cell Cultures.

Authors:  Agnieszka Klupczynska; Magdalena Misiura; Wojciech Miltyk; Ilona Oscilowska; Jerzy Palka; Zenon J Kokot; Jan Matysiak
Journal:  Molecules       Date:  2020-10-12       Impact factor: 4.411

5.  Long non-coding RNA FOXD3 antisense RNA 1 augments anti-estrogen resistance in breast cancer cells through the microRNA-363/ trefoil factor 1/ phosphatidylinositol 3-kinase/protein kinase B axis.

Authors:  Lili Ren; Huanhuan Zhou; Lei Lei; Yongjun Zhang; Hu Cai; Xiaojia Wang
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  5 in total

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