Literature DB >> 26218769

Metabolic profiling of breast cancer: Differences in central metabolism between subtypes of breast cancer cell lines.

Lucas Willmann1, Manuel Schlimpert2, Sebastian Halbach3, Thalia Erbes4, Elmar Stickeler5, Bernd Kammerer6.   

Abstract

Although the concept of aerobic glycolysis in cancer was already reported in the 1930s by Otto Warburg, the understanding of metabolic pathways remains challenging especially due to the heterogeneity of cancer. In consideration of four different time points (1, 2, 4, and 7 days of incubation), GC-MS profiling of metabolites was performed on cell extracts and supernatants of breast cancer cell lines (MDA-MB-231, -453, BT-474) with different sub classification and the breast epithelial cell line MCF-10A. To the exclusion of trypsinization, direct methanolic extraction, cell scraping and cell disruption was executed to obtain central metabolites. Major differences in biochemical pathways have been observed in the breast cancer cell lines compared to the breast epithelial cell line, as well as between the breast cancer cell lines themselves. Characteristics of breast cancer subtypes could be correlated to their individual metabolic profiles. PLS-DA revealed the discrimination of breast cancer cell lines from MCF-10A based on elevated amino acid levels. The observed metabolic signatures have great potential as biomarker for breast cancer as well as an improved understanding of subtype specific phenomenons of breast cancer.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; GC–EI–MS; Metabolic profiling; Metabolomics

Mesh:

Substances:

Year:  2015        PMID: 26218769     DOI: 10.1016/j.jchromb.2015.07.021

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  20 in total

1.  Untargeted and stable isotope-assisted metabolomic analysis of MDA-MB-231 cells under hypoxia.

Authors:  Jie Yang; Jianhua Cheng; Bo Sun; Haijing Li; Shengming Wu; Fangting Dong; Xianzhong Yan
Journal:  Metabolomics       Date:  2018-02-27       Impact factor: 4.290

Review 2.  Protein biomarkers for subtyping breast cancer and implications for future research.

Authors:  Claudius Mueller; Amanda Haymond; Justin B Davis; Alexa Williams; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2018-01-03       Impact factor: 3.940

3.  Metabolic perturbations caused by depletion of nephronophthisis factor Anks6 in mIMCD3 cells.

Authors:  Manuel Schlimpert; Simon Lagies; Barbara Müller; Vadym Budnyk; Kelly Daryll Blanz; Gerd Walz; Bernd Kammerer
Journal:  Metabolomics       Date:  2019-04-30       Impact factor: 4.290

4.  Metabolic Response to XD14 Treatment in Human Breast Cancer Cell Line MCF-7.

Authors:  Daqiang Pan; Michel Kather; Lucas Willmann; Manuel Schlimpert; Christoph Bauer; Simon Lagies; Karin Schmidtkunz; Steffen U Eisenhardt; Manfred Jung; Stefan Günther; Bernd Kammerer
Journal:  Int J Mol Sci       Date:  2016-10-24       Impact factor: 5.923

5.  A novel method of sample homogenization with the use of a microtome-cryostat apparatus.

Authors:  Ekaterina A Zelentsova; Vadim V Yanshole; Yuri P Tsentalovich
Journal:  RSC Adv       Date:  2019-11-20       Impact factor: 4.036

Review 6.  A critical review of the role of M2PYK in the Warburg effect.

Authors:  Robert A Harris; Aron W Fenton
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2019-01-29       Impact factor: 10.680

Review 7.  Breast cancer classification and prognostication through diverse systems along with recent emerging findings in this respect; the dawn of new perspectives in the clinical applications.

Authors:  Vida Pourteimoor; Samira Mohammadi-Yeganeh; Mahdi Paryan
Journal:  Tumour Biol       Date:  2016-09-20

8.  Metabolomic profiling of breast tumors using ductal fluid.

Authors:  Luisa Matos Do Canto; Catalin Marian; Rency S Varghese; Jaeil Ahn; Patricia A Da Cunha; Shawna Willey; Mary Sidawy; Janice D Rone; Amrita K Cheema; George Luta; Mohammad R Nezami Ranjbar; Habtom W Ressom; Bassem R Haddad
Journal:  Int J Oncol       Date:  2016-10-13       Impact factor: 5.650

9.  Cancer treatment scheduling and dynamic heterogeneity in social dilemmas of tumour acidity and vasculature.

Authors:  Artem Kaznatcheev; Robert Vander Velde; Jacob G Scott; David Basanta
Journal:  Br J Cancer       Date:  2017-02-09       Impact factor: 7.640

10.  Optimized Method for Untargeted Metabolomics Analysis of MDA-MB-231 Breast Cancer Cells.

Authors:  Amanda L Peterson; Adam K Walker; Erica K Sloan; Darren J Creek
Journal:  Metabolites       Date:  2016-09-22
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