Dai Rongchen, Liu Mengfan, Xiang Xincheng, Li Yang, Xi Zhichao, Xu Hongxi
School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, Shanghai, China.
Front Pharmacol. 2022 Feb 4;13:842203. doi: 10.3389/fphar.2022.842203. eCollection 2022.
Gastrointestinal cancers refer to a group of deadly malignancies of the gastrointestinal tract and organs of the digestive system. Over the past decades, considerable amounts of medicinal plants have exhibited potent anticancer effects on different types of gastrointestinal cancers. OMICS, systems biology approaches covering genomics, transcriptomics, proteomics and metabolomics, are broadly applied to comprehensively reflect the molecular profiles in mechanistic studies of medicinal plants. Single- and multi-OMICS approaches facilitate the unravelling of signalling interaction networks and key molecular targets of medicinal plants with anti-gastrointestinal cancer potential. Hence, this review summarizes the applications of various OMICS and advanced bioinformatics approaches in examining therapeutic targets, signalling pathways, and the tumour microenvironment in response to anticancer medicinal plants. Advances and prospects in this field are also discussed.
胃肠道癌症是指一组发生在胃肠道和消化系统器官的致命恶性肿瘤。在过去几十年中,大量药用植物已显示出对不同类型胃肠道癌症具有强大的抗癌作用。组学,即涵盖基因组学、转录组学、蛋白质组学和代谢组学的系统生物学方法,被广泛应用于全面反映药用植物作用机制研究中的分子概况。单一组学和多组学方法有助于揭示具有抗胃肠道癌潜力的药用植物的信号相互作用网络和关键分子靶点。因此,本综述总结了各种组学和先进生物信息学方法在研究抗癌药用植物的治疗靶点、信号通路和肿瘤微环境方面的应用。还讨论了该领域的进展和前景。