Metabolomic analysis of exosomal-markers in esophageal squamous cell carcinoma
Qingfu Zhu, Liu Huang, Qinsi Yang, Zheng Ao, Rui Yang, J.W. Krzesniak, Doudou Lou, Liang Hu, Xiaodan Dai, Feng Guo, Fei Liu
Abstract
machine learning from patients with recrudescence and patients without recrudescence and demonstrated a marker set consisting of 3'-UMP, palmitoleic acid, palmitaldehyde, and isobutyl decanoate for predicting ESCC recurrence with an AUC of 98%. These metabolome signatures of exosomes retained a high absolute fold change value at all ESCC stages and were very likely associated with cancer metabolism, which could be potentially applied as novel biomarkers for diagnosis and prognosis of ESCC.
Topics & Concepts
MetabolomeMetabolomicsMicrovesiclesEsophageal squamous cell carcinomaBiomarkerExosomeCancer researchCancerEsophageal cancerMalignancyCancer biomarkersDiagnostic biomarkerBiologyOncologyMedicineInternal medicineBioinformaticsmicroRNABiochemistryGeneExtracellular vesicles in diseaseMicroRNA in disease regulationEsophageal Cancer Research and Treatment