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Metabolites 2015, 5(1), 100-118; doi:10.3390/metabo5010100

Application of Metabolomics in Drug Resistant Breast Cancer Research

Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University School of Medicine, 3970 Reservoir Road NW, Washington, DC 20057, USA
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Academic Editor: Peter Meikle
Received: 7 February 2014 / Revised: 18 August 2014 / Accepted: 24 December 2014 / Published: 16 February 2015
(This article belongs to the Special Issue Cancer Metabolomics)
View Full-Text   |   Download PDF [617 KB, uploaded 16 February 2015]   |  

Abstract

The metabolic profiles of breast cancer cells are different from normal mammary epithelial cells. Breast cancer cells that gain resistance to therapeutic interventions can reprogram their endogenous metabolism in order to adapt and proliferate despite high oxidative stress and hypoxic conditions. Drug resistance in breast cancer, regardless of subgroups, is a major clinical setback. Although recent advances in genomics and proteomics research has given us a glimpse into the heterogeneity that exists even within subgroups, the ability to precisely predict a tumor’s response to therapy remains elusive. Metabolomics as a quantitative, high through put technology offers promise towards devising new strategies to establish predictive, diagnostic and prognostic markers of breast cancer. Along with other “omics” technologies that include genomics, transcriptomics, and proteomics, metabolomics fits into the puzzle of a comprehensive systems biology approach to understand drug resistance in breast cancer. In this review, we highlight the challenges facing successful therapeutic treatment of breast cancer and the innovative approaches that metabolomics offers to better understand drug resistance in cancer. View Full-Text
Keywords: breast cancer; drug resistance; metabolomics; cellular metabolism; cell death breast cancer; drug resistance; metabolomics; cellular metabolism; cell death
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Shajahan-Haq, A.N.; Cheema, M.S.; Clarke, R. Application of Metabolomics in Drug Resistant Breast Cancer Research. Metabolites 2015, 5, 100-118.

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