Issue 28, 2018

Metabolomics analysis of multidrug-resistant breast cancer cells in vitro using methyl-tert-butyl ether method

Abstract

The comprehensive characterization of metabolome and lipidome to reveal unknown pathological conditions, are being used to investigate the molecular mechanisms of cancer, especially in the field of early diagnosis, treatment, and prognosis. The multidrug resistance (MDR) of tumor cells limits the therapeutic effect of anti-cancer drugs and is the main obstacle for chemotherapy. Here, we adopted a methyl-tert-butyl ether (MTBE)-based extraction method to simultaneously extract small polar molecules and lipophilic metabolites for nontargeted metabolomics of multidrug-resistant breast cancer cell line MCF-7/ADR and its parental cell line MCF-7/S by ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Distinctly different metabolic features were shown between MCF-7/ADR cells and MCF-7/S on the basis of multivariate analyses. 17 potential biomarkers were identified. And these potential biomarkers were mainly correlated with cell membrane lipids composition, cell signaling regulated by lipids, and anti-oxidation ability. The studies of cellular ultrastructure and morphology by in situ atomic force microscopy (AFM) also demonstrated the cellular membrane changed along with the MDR. We expect that this study could provide a new method for monitoring drug resistance during clinical chemotherapy and be useful for the development of drugs to overcome the MDR.

Graphical abstract: Metabolomics analysis of multidrug-resistant breast cancer cells in vitro using methyl-tert-butyl ether method

Supplementary files

Article information

Article type
Paper
Submitted
01 Dec 2017
Accepted
21 Apr 2018
First published
26 Apr 2018
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2018,8, 15831-15841

Metabolomics analysis of multidrug-resistant breast cancer cells in vitro using methyl-tert-butyl ether method

L. Zong, Z. Pi, S. Liu, Z. Liu and F. Song, RSC Adv., 2018, 8, 15831 DOI: 10.1039/C7RA12952A

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