代谢组学
结直肠癌
生物标志物
代谢物
诊断生物标志物
医学
疾病
生物标志物发现
代谢组
生物信息学
代谢物分析
人口
组学
计算生物学
癌症
生物
内科学
蛋白质组学
遗传学
基因
环境卫生
作者
Andrew Gold,Fouad Choueiry,Ning Jin,Xiaokui Mo,Jiangjiang Zhu
出处
期刊:Cancers
[MDPI AG]
日期:2022-01-30
卷期号:14 (3): 725-725
被引量:18
标识
DOI:10.3390/cancers14030725
摘要
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.
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