Colorectal 癌症(CRC ) 是世界范围的第三最普通的恶意癌症。正常 mucosa 和癌症纸巾的全球新陈代谢的介绍的清楚的理解是极其重要的帮助优化临床的管理策略和理解 CRC 生物学。我们与 multivariate 分析一起用高分辨率 1H NMR 光谱学从 20 个病人学习了 20 CRC 和 20 篇远正常 mucosa 纸巾摘录的新陈代谢的特征,例如主要部件分析(PCA ) 。与远正常 mucosa 纸巾相比,喂奶,公牛,鸟氨酸和 polyamine 是在场的在而 myo 肌醇是在场的在,显著地,在 CRC 织物的高水平提取显著地低级。象 myo-inositol/taurine 和 myo-inositol/(ornithine+polyamine ) 那样的二代谢物比率看起来是为从正常 mucosa 纸巾的区别 CRC 的最珍贵的 biomarkers。我们的数据建议与 multivariate 分析相结合的那 HR 1H NMR 光谱学是为在正常 mucosa 纸巾检测恶意的变化的一种潜在地有用的技术,这种技术可以进一步为治疗学的操作为未来 CRC biomarker 研究或目标的鉴定被利用。
Colorectal cancer (CRC) is the third commonest malignancy cancer worldwide. Clear understandings of global metabolic profiling of the normal mucosa and cancer tissues are vitally important to aid optimizing the clinical management strategy and understanding CRC biology. We studied metabolic characteristics of 20 CRC and 20 distant normal mucosa tissues extracts from 20 patients using high resolution ^1H NMR spectroscopy in conjunction with multivariate analyses, such as principal component analysis (PCA). Compared with distant normal mucosa tissues, lactate, taurine, ornithine and polyamine were present at significantly higher levels in CRC tissue extracts whereas myo-inositol was present at significantly lower level. Two metabolites ratios such as myo-inositolltaurine and myo-inositol/(ornithine+polyamine) appear to be the most valuable biomarkers for the differentiation CRC from normal mucosa tissues. Our data suggested that HR ~H NMR spectroscopy combined with multivariate analy- ses is a potentially useful technology for detecting malignant changes in the normal mucosa tissues, the technique may be further exploited for future CRC biomarker research or identification of targets for therapeutic manipulations.