Ni Yan, Xie Guoxiang, Jia Wei
Center for Translational Medicine, and Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology & Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital , Shanghai 200233, China.
J Proteome Res. 2014 Sep 5;13(9):3857-70. doi: 10.1021/pr500443c. Epub 2014 Aug 14.
Colorectal cancer (CRC) is one of the most common cancers in the world, having both high prevalence and mortality. It is usually diagnosed at advanced stages due to the limitations of current screening methods used in the clinic. There is an urgent need to develop new biomarkers and modalities to detect, diagnose, and monitor the disease. Metabonomics, an approach that involves the comprehensive profiling of the full complement of endogenous metabolites in a biological system, has demonstrated its great potential for use in the early diagnosis and personalized treatment of various cancers including CRC. By applying advanced analytical techniques and bioinformatics tools, the metabolome is mined for biomarkers that are associated with carcinogenesis and prognosis. This review provides an overview of the metabonomics workflow and studies, with a focus on recent advances and findings in biomarker discovery for the early diagnosis and prognosis of CRC.
结直肠癌(CRC)是世界上最常见的癌症之一,其发病率和死亡率都很高。由于临床中使用的当前筛查方法存在局限性,它通常在晚期才被诊断出来。迫切需要开发新的生物标志物和检测方法来检测、诊断和监测这种疾病。代谢组学是一种对生物系统中内源性代谢物的全部成分进行全面分析的方法,已证明其在包括CRC在内的各种癌症的早期诊断和个性化治疗中具有巨大的应用潜力。通过应用先进的分析技术和生物信息学工具,从代谢组中挖掘与致癌作用和预后相关的生物标志物。本综述概述了代谢组学的工作流程和研究,重点关注CRC早期诊断和预后生物标志物发现的最新进展和研究结果。