1H nuclear magnetic resonance-based extracellular metabolomic analysis of multidrug resistant Tca8113 oral squamous carcinoma cells

Abstract

Abstract.A major obstacle of successful chemotherapy is the development of multidrug resistance (MDR) in the cancer cells, which is difficult to reverse. Metabolomic analysis, an emerging approach that has been increasingly applied in various fields, is able to reflect the unique chemical fingerprints of specific cellular processes in an organism. The assessment of such metabolite changes can be used to identify novel therapeutic biomarkers. In the present study, 1 H nuclear magnetic resonance (NMR) spectroscopy was used to analyze the extracellular metabolomic spectrum of the Tca8113 oral squamous carcinoma cell line, in which MDR was induced using the carboplatin (CBP) and pingyangmycin (PYM) chemotherapy drugs in vitro. The data were analyzed using the principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) methods. The results demonstrated that the extracellular metabolomic spectrum of metabolites such as glutamate, glycerophosphoethanol amine, α-Glucose and β-Glucose for the drug-induced Tca8113 cells was significantly different from the parental Tca8113 cell line. A number of biochemicals were also significantly different between the groups based on their NMR spectra, with drug-resistant cells presenting relatively higher levels of acetate and lower levels of lactate. In addition, a significantly higher peak was observed at δ 3.35 ppm in the spectrum of the PYM-induced Tca8113 cells. Therefore, 1 H NMR-based metabolomic analysis has a high potential for monitoring the formation of MDR during clinical tumor chemotherapy in the future.

Early lung cancer diagnostic biomarker discovery by machine learning methods

“…Metabolomics study have been used to recognize the metabolic pathways and metabolites that regulate tumor progression and physiological function [3] , [4] , [5] . Metabolomics could provide the information of cellular metabolic processes that drive tumorigenesis and tumor progression.…”

Investigation of metabolites produced by Magnaporthe oryzae during appressorium development using 1H NMR metabolomics approach

“…Metabolites that influence group discrimination among appressoria development and mycelium could be evaluated by referring to VIP [Figure 3(b) and Table 1]. VIP is variable of important projection depicts most important variable sufficient for class discrimination and VIP value more than 1 indicates significant variable that responsible for clustering of 0 h, 8 h, 24 h and mycelia (Wang et al, 2015). From 43 identified compound, 30 metabolites were significantly influenced separation of group based on PLS-DA model (Table 1).…”

Comparative NMR metabolomics of the responses of A2780 human ovarian cancer cells to clinically established Pt-based drugs

“…The metabolic impact of OXA on the polar extracts of hepatocellular carcinoma cells was studied by NMR metabolomics, 27 and that of carboplatin (in combination with other drugs) on the exo-metabolome of oral squamous carcinoma cells. 28 A very recent paper by Ann Gil described comparatively the effects of cisplatin and oxaliplatin on human osteosarcoma cells; no major differences in the resulting patterns of metabolomic alterations were highlighted. 29 Upon considering the available literature, we realized that no systematic investigation yet existed aimed at comparing the metabolic effects of cisplatin, carboplatin, and oxaliplatin in the same cancer cell line as a function of the time of treatment.…”

“…The metabolic impact of OXA on the polar extracts of hepatocellular carcinoma cells was studied by NMR metabolomics, 27 and that of carboplatin (in combination with other drugs) on the exo -metabolome of oral squamous carcinoma cells. 28 A very recent paper by Ann Gil described comparatively the effects of cisplatin and oxaliplatin on human osteosarcoma cells; no major differences in the resulting patterns of metabolomic alterations were highlighted. 29…”