Metabolic profiling analysis associated with acquired erlotinib resistance of lung adenocarcinoma cells based on liquid chromatography–high resolution mass spectrometry
Online published: 2017-05-31
Supported by
National Natural Science Foundation of China,81573018;Shanghai Youth Science and Technology Sail Project,15YF1406700
Objective · To explore the change of metabolomic profiling after erlotinib (an epithelial growth factor receptor tyrosine kinase inhibitor) resistance of lung adenocarcinoma cells (PC9-ER), and find the differential metabolome associated with erlotinib resistance. Methods · Metabolic profiling of PC9-ER cells and homologous parent PC9 cells was acquired by the ultraperformance liquid chromatography tandem quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS). The data were analyzed by multi-dimensional statistical methods, such as partial least squares projection to latent structures-discriminant analysis (PLS-DA), to select and identify differential metabolites associated with erlotinib resistance. Results · A total of 14 differential metabolites were identified in PC9-ER cells. Seven up-regulated metabolites included N-acetylspermidine, phosphatidylethanolamine, AMP, pantothenic acid, proline, glutamate, and histidine, while seven down-regulated metabolites included citrulline, phosphorylcholine, glutathione, cysteinylglycine, glutathione oxidized, NAD, and S-adenosylmethionine, mainly participating in glutathione metabolism, glutamate metabolism, ammonia recycling, and protein biosynthesis. Conclusion · Metabolic profiling of erlotinib-resistant lung adenocarcinoma cells was changed. The information of differential metabolites associated with erlotinib resistance could provide clues for new resistance mechanisms and potential metabolism-related drug targets.
MENG Shuang , WANG Yang* , LEI Hui-min , TANG Ya-bin , ZHU Liang . Metabolic profiling analysis associated with acquired erlotinib resistance of lung adenocarcinoma cells based on liquid chromatography–high resolution mass spectrometry[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2017 , 37(5) : 571 . DOI: 10.3969/j.issn.1674-8115.2017.05.001
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