Department of Preventative Medicine, Zhejiang Key Laboratory of Pathophysiology, Medicine School of Ningbo University, 818 Fenghua Road, Zhejiang Province, Ningbo 315211, China.
Department of Preventative Medicine, Zhejiang Key Laboratory of Pathophysiology, Medicine School of Ningbo University, 818 Fenghua Road, Zhejiang Province, Ningbo 315211, China.
Clin Chim Acta. 2019 Aug;495:436-445. doi: 10.1016/j.cca.2019.05.012. Epub 2019 May 17.
Lung cancer is one of the most common cancers in the world. Due to the limitations of current diagnostic techniques and methods, most lung cancers are diagnosed at the advanced stage, which is not conducive to early treatment. The rise of metabolomics has provided new ideas for the early diagnosis of lung cancer. As a method for the comprehensive analysis of endogenous metabolites of the biological system, metabolomics has shown significant application potential for the early diagnosis and individualized treatment of various cancers including lung cancers. Via advanced analytical techniques and bioinformatics tools, the metabolome was excavated to find biomarkers related to cancer and its prognosis. In this review, the research methods and workflow of metabolomics are summarized, with an emphasis on the recent discovery of biomarkers and major metabolic pathways for lung cancers.
肺癌是世界上最常见的癌症之一。由于目前诊断技术和方法的局限性，大多数肺癌在晚期才被诊断出来，这不利于早期治疗。代谢组学的兴起为肺癌的早期诊断提供了新的思路。作为一种全面分析生物系统内源性代谢物的方法，代谢组学在包括肺癌在内的各种癌症的早期诊断和个体化治疗方面显示出了显著的应用潜力。通过先进的分析技术和生物信息学工具，对代谢组进行挖掘，以寻找与癌症及其预后相关的生物标志物。本文总结了代谢组学的研究方法和工作流程，重点介绍了近年来肺癌的生物标志物和主要代谢途径的发现。
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