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目的:阐明甲状腺乳头状癌(PTC)与喉鳞状细胞癌(LSCC)的代谢组学特征并探讨其异同点。方法:联合应用气相色谱-飞行时间质谱和超高效液相色谱-飞行时间质谱技术,对57例PTC和33例LSCC患者的新鲜肿瘤组织及其邻近非肿瘤组织的代谢物进行检测,获取代谢谱。应用单维、多维统计学方法分析肿瘤组织与邻近非肿瘤组织之间的差异代谢产物以及相关的代谢通路。结果:PTC以及LSCC患者肿瘤组织与邻近非肿瘤组织分别存在46及41种差异代谢产物。两组患者共同的代谢特征主要表现在肿瘤组织中糖酵解、氨基酸代谢、一碳代谢及色氨酸代谢均较邻近非肿瘤组织明显增强。PTC与LSCC肿瘤组织中的嘌呤和嘧啶代谢产物较邻近非肿瘤组织增多,牛磺酸和次牛磺酸的代谢产物在PTC肿瘤组织中增多。脂肪酸代谢产物在PTC以及LSCC中又呈现共性的降低。结论:PTC与LSCC既具有肿瘤组织中糖酵解、氨基酸代谢、一碳代谢及色氨酸代谢明显增强的共性代谢特点,又具有各自独特的代谢特征,这些特征的揭示有助于阐明上述肿瘤的生物学特征。
Objective: To elucidate the metabonomic characteristics of thyroid papillary carcinoma (PTC) and laryngeal squamous cell carcinoma (LSCC) and discuss the similarities and differences. Methods: The metabolites of fresh tumor tissues and adjacent non-tumor tissues of 57 patients with PTC and 33 patients with LSCC were detected by gas chromatography-time of flight mass spectrometry and ultra-high performance liquid chromatography-time of flight mass spectrometry. Metabolic profiles . Unidimensional and multidimensional statistical methods were used to analyze the differential metabolites and related metabolic pathways between tumor tissues and adjacent non-tumor tissues. RESULTS: There were 46 and 41 differential metabolites in PTC and LSCC patients, respectively, in adjacent non-tumor tissues. Metabolic characteristics of the two groups of patients are mainly manifested in the tumor tissue glycolysis, amino acid metabolism, carbon metabolism and tryptophan metabolism than the adjacent non-tumor tissue was significantly enhanced. Purine and pyrimidine metabolites in PTC and LSCC tumors increased compared with adjacent non-tumor tissues, and the metabolites of taurine and hypotaurine increased in PTC tumor tissues. Fatty acid metabolites show a common decrease in PTC and LSCC. Conclusion: Both PTC and LSCC have common metabolic features of glycolytic, amino acid metabolism, first-carbon metabolism and tryptophan metabolism in tumor tissue, and have their own unique metabolic characteristics. The reveal of these features will help to clarify the above tumor Biological characteristics.