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Metabolic Signatures of Tumor Responses to Doxorubicin Elucidated by Metabolic Profiling in Ovo

Authors :
Iman W. Achkar
Sara Kader
Shaima S. Dib
Kulsoom Junejo
Salha Bujassoum Al-Bader
Shahina Hayat
Aditya M. Bhagwat
Xavier Rousset
Yan Wang
Jean Viallet
Karsten Suhre
Anna Halama
Source :
Metabolites, Vol 10, Iss 7, p 268 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Background: Dysregulated cancer metabolism is associated with acquired resistance to chemotherapeutic treatment and contributes to the activation of cancer survival mechanisms. However, which metabolic pathways are activated following treatment often remains elusive. The combination of chicken embryo tumor models (in ovo) with metabolomics phenotyping could offer a robust platform for drug testing. Here, we assess the potential of this approach in the treatment of an in ovo triple negative breast cancer with doxorubicin. Methods: MB-MDA-231 cells were grafted in ovo. The resulting tumors were then treated with doxorubicin or dimethyl sulfoxide (DMSO) for six days. Tumors were collected and analyzed using a global untargeted metabolomics and comprehensive lipidomics. Results: We observed a significant suppression of tumor growth in the doxorubicin treated group. The metabolic profiles of doxorubicin and DMSO-treated tumors were clearly separated in a principle component analysis. Inhibition of glycolysis, nucleotide synthesis, and glycerophospholipid metabolism appear to be triggered by doxorubicin treatment, which could explain the observed suppressed tumor growth. In addition, metabolic cancer survival mechanisms could be supported by an acceleration of antioxidative pathways. Conclusions: Metabolomics in combination with in ovo tumor models provide a robust platform for drug testing to reveal tumor specific treatment targets such as the antioxidative tumor capacity.

Details

Language :
English
ISSN :
22181989
Volume :
10
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Metabolites
Publication Type :
Academic Journal
Accession number :
edsdoj.94a9ba78ea834da19032f3af12eb7e26
Document Type :
article
Full Text :
https://doi.org/10.3390/metabo10070268