Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong Province, China.
Radiation Oncology, Cancer Hospital, Shantou University Medical College, Shantou, Guangdong Province, China.
Int J Cancer. 2019 Sep 15;145(6):1679-1689. doi: 10.1002/ijc.32190. Epub 2019 Mar 4.
Previous studies have compared fecal metabolites from healthy and colorectal cancer (CRC) patients to predict the pro-CRC signatures. However, the systemic mechanistic link between feces and colonic tissues of CRC patients is still limited. The current study was a paralleled investigation of colonic tumor tissues and their normal adjacent tissues alongside patient-matched feces by using H nuclear magnetic resonance spectroscopy combined with pattern recognition to investigate how fecal metabolic phenotypes are linked to the changes in colorectal tumor profiles. A set of overlapping discriminatory metabolites across feces and tumor tissues of CRC were identified, including elevated levels of lactate, glutamate, alanine, succinate and reduced amounts of butyrate. These changes could indicate the networks for metabolic pathway perturbations in CRC potentially involved in the disruptions of glucose and glycolytic metabolism, TCA cycle, glutaminolysis, and short chain fatty acids metabolism. Furthermore, changes in fecal acetate were positively correlated with alterations of glucose and myo-inositol in colorectal tumor tissues, implying enhanced energy production for rapid cell proliferation. Compared to other fecal metabolites, acetate demonstrated the highest diagnostic performance for diagnosing CRC, with an AUC of 0.843 in the training set, and a good predictive ability in the validation set. Overall, these associations provide evidence of distinct metabolic signatures and metabolic pathway disturbances between the colonic tissues and feces within the same individual, and changes of fecal metabolic signature could reflect the CRC tissue microenvironment, highlighting the significance of the distinct fecal metabolic profiles as potential novel and noninvasive relevant indicators for CRC detection.
先前的研究已经比较了健康人和结直肠癌(CRC)患者的粪便代谢产物,以预测与 CRC 相关的特征。然而,CRC 患者粪便与结肠组织之间的系统机制联系仍然有限。本研究通过使用 H 核磁共振波谱结合模式识别技术,同时平行研究结直肠肿瘤组织及其正常相邻组织与患者匹配的粪便,以调查粪便代谢表型与结直肠肿瘤谱变化之间的联系。在 CRC 的粪便和肿瘤组织中鉴定出了一组重叠的有区别的代谢物,包括乳酸盐、谷氨酸盐、丙氨酸、琥珀酸盐水平升高,以及丁酸盐含量降低。这些变化可能表明 CRC 中代谢途径扰动的网络可能涉及葡萄糖和糖酵解代谢、三羧酸循环、谷氨酰胺分解和短链脂肪酸代谢的破坏。此外,粪便中乙酸盐的变化与结直肠肿瘤组织中葡萄糖和肌醇的变化呈正相关,这表明快速细胞增殖的能量产生增强。与其他粪便代谢物相比,乙酸盐在诊断 CRC 方面表现出最高的诊断性能,在训练集中的 AUC 为 0.843,在验证集中具有良好的预测能力。总的来说,这些关联提供了证据表明在同一个体的结肠组织和粪便之间存在不同的代谢特征和代谢途径紊乱,粪便代谢特征的变化可以反映 CRC 组织微环境,突出了不同粪便代谢特征作为 CRC 检测潜在的新型非侵入性相关指标的重要性。