Metabolic Signatures of Tumor Responses to Doxorubicin Elucidated by Metabolic Profiling <i>in Ovo</i>

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 embry...

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Main 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
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Metabolites
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Online Access:https://www.mdpi.com/2218-1989/10/7/268
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Summary: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 (<i>in ovo</i>) with metabolomics phenotyping could offer a robust platform for drug testing. Here, we assess the potential of this approach in the treatment of an <i>in ovo</i> triple negative breast cancer with doxorubicin. Methods: MB-MDA-231 cells were grafted <i>in ovo.</i> 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 <i>in ovo</i> tumor models provide a robust platform for drug testing to reveal tumor specific treatment targets such as the antioxidative tumor capacity.
ISSN:2218-1989