Hirayama Akiyoshi, Kami Kenjiro, Sugimoto Masahiro, Sugawara Maki, Toki Naoko, Onozuka Hiroko, Kinoshita Taira, Saito Norio, Ochiai Atsushi, Tomita Masaru, Esumi Hiroyasu, Soga Tomoyoshi
Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan and National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Cancer Res. 2009 Jun 1;69(11):4918-25. doi: 10.1158/0008-5472.CAN-08-4806. Epub 2009 May 19.
Most cancer cells predominantly produce energy by glycolysis rather than oxidative phosphorylation via the tricarboxylic acid (TCA) cycle, even in the presence of an adequate oxygen supply (Warburg effect). However, little has been reported regarding the direct measurements of global metabolites in clinical tumor tissues. Here, we applied capillary electrophoresis time-of-flight mass spectrometry, which enables comprehensive and quantitative analysis of charged metabolites, to simultaneously measure their levels in tumor and grossly normal tissues obtained from 16 colon and 12 stomach cancer patients. Quantification of 94 metabolites in colon and 95 metabolites in stomach involved in glycolysis, the pentose phosphate pathway, the TCA and urea cycles, and amino acid and nucleotide metabolisms resulted in the identification of several cancer-specific metabolic traits. Extremely low glucose and high lactate and glycolytic intermediate concentrations were found in both colon and stomach tumor tissues, which indicated enhanced glycolysis and thus confirmed the Warburg effect. Significant accumulation of all amino acids except glutamine in the tumors implied autophagic degradation of proteins and active glutamine breakdown for energy production, i.e., glutaminolysis. In addition, significant organ-specific differences were found in the levels of TCA cycle intermediates, which reflected the dependency of each tissue on aerobic respiration according to oxygen availability. The results uncovered unexpectedly poor nutritional conditions in the actual tumor microenvironment and showed that capillary electrophoresis coupled to mass spectrometry-based metabolomics, which is capable of quantifying the levels of energy metabolites in tissues, could be a powerful tool for the development of novel anticancer agents that target cancer-specific metabolism.
大多数癌细胞主要通过糖酵解产生能量,而非经由三羧酸(TCA)循环进行氧化磷酸化,即便在有充足氧气供应的情况下(瓦伯格效应)。然而,关于临床肿瘤组织中全局代谢物的直接测量报道甚少。在此,我们应用毛细管电泳飞行时间质谱法,该方法能够对带电代谢物进行全面且定量的分析,以同时测量从16例结肠癌患者和12例胃癌患者获取的肿瘤组织及大体正常组织中代谢物的水平。对参与糖酵解、磷酸戊糖途径、TCA循环和尿素循环以及氨基酸和核苷酸代谢的结肠癌中的94种代谢物和胃癌中的95种代谢物进行定量分析,从而确定了几种癌症特异性代谢特征。在结肠癌和胃癌肿瘤组织中均发现葡萄糖水平极低,乳酸和糖酵解中间产物浓度很高,这表明糖酵解增强,进而证实了瓦伯格效应。肿瘤中除谷氨酰胺外所有氨基酸的显著积累意味着蛋白质的自噬降解以及为产生能量而进行的活跃谷氨酰胺分解,即谷氨酰胺分解代谢。此外,在TCA循环中间产物水平上发现了显著的器官特异性差异,这反映了各组织根据氧气可利用性对有氧呼吸的依赖性。这些结果意外地揭示了实际肿瘤微环境中不良的营养状况,并表明结合质谱的代谢组学毛细管电泳能够定量组织中能量代谢物的水平,可能成为开发针对癌症特异性代谢的新型抗癌药物的有力工具。