Biomarkers in Medicine · 2018 · 20 citations · 40 references
Life SciencesBiochemistryOncologyMass Spectrometric AnalysisMetabolomicsMolecular OncologyCancer BiomarkersEsophageal CancerMetabolite IdentificationMetabolite ProfilingTargeted MetabolomicsUntargeted MetabolomicsMetabolomic Biomarker DiscoveryMetabolomic BiomarkersMetabolomic SignaturesNeoadjuvant ChemoradiotherapySerum BiomarkersTargeted Metabolite ProfilingTargeted Metabolomics AnalysisUntargeted Metabolomics Analysis
AIM: To identify the serum metabolomics signature that is correlated with the chemoradiosensitivity of esophageal squamous cell carcinoma (ESCC). MATERIALS & METHODS: Untargeted and targeted metabolomics analysis of serum samples from 26 ESCC patients, which were collected before the neoadjuvant chemoradiotherapy, was performed. RESULTS: On receiving the results of untargeted metabolomics analysis, we performed the targeted metabolomics analysis of the six metabolites (arabitol, betaine, glycine, L-serine, L-arginine and L-aspartate). The serum levels of the four metabolites (arabitol, glycine, L-serine and L-arginine) were significantly lower in the patients who achieved pathological complete response with neoadjuvant chemoradiotherapy compared with the patients who did not achieve pathological complete response (p = 0.0086, 0.0345, 0.0106 and 0.0373, respectively). CONCLUSION: The serum levels of metabolites might be useful for predicting the chemoradiosensitivity of ESCC patients.
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