Gold Andrew, Choueiry Fouad, Jin Ning, Mo Xiaokui, Zhu Jiangjiang
Human Nutrition Program, James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Department of Medical Oncology, James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Cancers (Basel). 2022 Jan 30;14(3):725. doi: 10.3390/cancers14030725.
Colorectal cancer (CRC) is a highly prevalent disease with poor prognostic outcomes if not diagnosed in early stages. Current diagnosis techniques are either highly invasive or lack sufficient sensitivity. Thus, identifying diagnostic biomarkers of CRC with high sensitivity and specificity is desirable. Metabolomics represents an analytical profiling technique with great promise in identifying such biomarkers and typically represents a close tie with the phenotype of a specific disease. We thus conducted a systematic review of studies reported from January 2012 to July 2021 relating to the detection of CRC biomarkers through metabolomics to provide a collection of knowledge for future diagnostic development. We identified thirty-seven metabolomics studies characterizing CRC, many of which provided metabolites/metabolic profile-based diagnostic models with high sensitivity and specificity. These studies demonstrated that a great number of metabolites can be differentially regulated in CRC patients compared to healthy controls, adenomatous polyps, or across stages of CRC. Among these metabolite biomarkers, especially dysregulated were certain amino acids, fatty acids, and lysophosphatidylcholines. Additionally, we discussed the contribution of the gut bacterial population to pathogenesis of CRC through their modulation to fecal metabolite pools and summarized the established links in the literature between certain microbial genera and altered metabolite levels in CRC patients. Taken together, we conclude that metabolomics presents itself as a promising and effective method of CRC biomarker detection.
结直肠癌(CRC)是一种高度常见的疾病,如果在早期未被诊断出来,预后结果较差。目前的诊断技术要么具有高度侵入性,要么缺乏足够的敏感性。因此,识别具有高敏感性和特异性的CRC诊断生物标志物是很有必要的。代谢组学是一种分析表征技术,在识别此类生物标志物方面具有很大潜力,并且通常与特定疾病的表型密切相关。因此,我们对2012年1月至2021年7月期间报道的通过代谢组学检测CRC生物标志物的研究进行了系统综述,以便为未来的诊断发展提供知识汇总。我们确定了37项表征CRC的代谢组学研究,其中许多研究提供了基于代谢物/代谢谱的具有高敏感性和特异性的诊断模型。这些研究表明,与健康对照、腺瘤性息肉相比,或在CRC的不同阶段,CRC患者中有大量代谢物可被差异性调节。在这些代谢物生物标志物中,某些氨基酸、脂肪酸和溶血磷脂酰胆碱的失调尤为明显。此外,我们讨论了肠道细菌群体通过调节粪便代谢物库对CRC发病机制的贡献,并总结了文献中某些微生物属与CRC患者代谢物水平改变之间已确立的联系。综上所述,我们得出结论,代谢组学是一种有前景且有效的CRC生物标志物检测方法