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Published on: June 9, 2019
Metabolomic approach to evaluating adriamycin pharmacodynamics and resistance in breast cancer cells
Bei Cao1, Mengjie Li1, Weibin Zha1
1Lab of Metabolomics, Key Laboratory of Drug Metabolism and Pharmacokinetics, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 21009 China.
Abstract:
Continuous exposure of breast cancer cells to adriamycin induces high expression of P-gp and multiple drug resistance. However, the biochemical process and the underlying mechanisms for the gradually induced resistance are not clear. To explore the underlying mechanism and evaluate the anti-tumor effect and resistance of adriamycin, the drug-sensitive MCF-7S and the drug-resistant MCF-7Adr breast cancer cells were used and treated with adriamycin, and the intracellular metabolites were profiled using gas chromatography mass spectrometry. Principal components analysis of the data revealed that the two cell lines showed distinctly different metabolic responses to adriamycin. Adriamycin exposure significantly altered metabolic pattern of MCF-7S cells, which gradually became similar to the pattern of MCF-7Adr, indicating that metabolic shifts were involved in adriamycin resistance. Many intracellular metabolites involved in various metabolic pathways were significantly modulated by adriamycin treatment in the drug-sensitive MCF-7S cells, but were much less affected in the drug-resistant MCF-7Adr cells. Adriamycin treatment markedly depressed the biosynthesis of proteins, purines, pyrimidines and glutathione, and glycolysis, while it enhanced glycerol metabolism of MCF-7S cells. The elevated glycerol metabolism and down-regulated glutathione biosynthesis suggested an increased reactive oxygen species (ROS) generation and a weakened ability to balance ROS, respectively. Further studies revealed that adriamycin increased ROS and up-regulated P-gp in MCF-7S cells, which could be reversed by N-acetylcysteine treatment. It is suggested that adriamycin resistance is involved in slowed metabolism and aggravated oxidative stress. Assessment of cellular metabolomics and metabolic markers may be used to evaluate anti-tumor effects and to screen for candidate anti-tumor agents.
Insights
Adriamycin resistance in breast cancer involves metabolic shifts and increased oxidative stress. Understanding these changes through metabolomics can help evaluate drug effectiveness and identify new anti-cancer agents.
Area of Science:
- Biochemistry
- Cancer Biology
- Metabolomics
Background:
- Continuous adriamycin exposure in breast cancer cells leads to P-glycoprotein (P-gp) expression and multidrug resistance.
- The precise biochemical processes and mechanisms driving this gradually induced resistance remain unclear.
Purpose of the Study:
- To elucidate the underlying mechanisms of adriamycin resistance in breast cancer cells.
- To evaluate the anti-tumor effects and resistance patterns of adriamycin using drug-sensitive and resistant cell lines.
Main Methods:
- Utilized drug-sensitive MCF-7S and drug-resistant MCF-7Adr breast cancer cells.
- Performed intracellular metabolite profiling using gas chromatography-mass spectrometry (GC-MS).
- Analyzed metabolic data using Principal Components Analysis (PCA).
Main Results:
- Distinct metabolic responses to adriamycin were observed between MCF-7S and MCF-7Adr cells.
- Adriamycin exposure altered MCF-7S cell metabolism, making it resemble MCF-7Adr cells, indicating metabolic shifts in resistance.
- Adriamycin depressed protein, purine, pyrimidine, glutathione biosynthesis, and glycolysis, while enhancing glycerol metabolism in MCF-7S cells.
- Elevated glycerol metabolism and reduced glutathione biosynthesis correlated with increased reactive oxygen species (ROS) and weakened ROS balancing.
- Adriamycin increased ROS and P-gp expression in MCF-7S cells, effects reversible by N-acetylcysteine.
Conclusions:
- Adriamycin resistance is associated with slowed cellular metabolism and aggravated oxidative stress.
- Cellular metabolomics and metabolic markers can potentially evaluate anti-tumor efficacy and screen for novel anti-cancer agents.
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