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作 者:邱辛瑶 杨帅 周涛 王红阳 陈磊 Xinyao Qiu;Shuai Yang;Tao Zhou;Hong-Yang Wang;Lei Chen(Fudan University Shanghai Cancer Center,Department of Oncology,Shanghai Medical College,Fudan University,Shanghai 200032,China;National Center for Liver Cancer,Shanghai 200041,China;The International Cooperation Laboratory on Signal Transduction,Eastern Hepatobiliary Surgery Hospital,Second Military Medical University,Shanghai 200438,China)
机构地区:[1]复旦大学附属肿瘤医院肿瘤研究所,上海200032 [2]国家肝癌科学中心,上海200041 [3]东方肝胆外科医院细胞信号转导研究室,上海200438
出 处:《中国科学基金》2025年第1期99-110,共12页Bulletin of National Natural Science Foundation of China
基 金:国家自然科学基金项目(82273277,81988101,82372872,82425038)的资助。
摘 要:从基因组学、转录组学到蛋白质组学、代谢组学等,从以组织为单位的测序到以单细胞为单位的单细胞测序;从无空间信息的组学技术到空间组学技术,再到空间单细胞组学技术。肿瘤研究已经从单一层次的基因变异研究快速扩展到多层次、多维度数据的整合研究。每一种组学技术都揭示了肿瘤的不同方面特征,描绘了肿瘤及其微环境的复杂性。多组学联合分析不仅能提高肿瘤靶点发现的精准性,还为肿瘤的个性化诊疗提供了新的机遇。本综述旨在探讨多组学技术在肿瘤靶点发现中的应用。首先,我们将概述现阶段有代表性的多种组学技术;其次,归纳多组学联合的研究策略;之后,简述多组学整合的临床转化进展;最后,探讨未来多组学在肿瘤基础和临床研究中面临的关键问题与挑战。From genomics and transcriptomics to proteomics and metabolomics,from tissue-based sequencing to single-cell sequencing,and from non-spatial omics technologies to spatial omics,culminating in spatial single-cell omics,cancer research has evolved from studying genetic mutations in isolation to exploring multi-layered,multi-dimensional data.Each omics technology reveals different facets of cancer,collectively mapping the complexity of tumors.Integrating multi-omics analyses not only enhances the precision of cancer target discovery but also opens up new opportunities for personalized cancer therapy.This review aims to explore the applications of multi-omics technologies in identifying therapeutic targets for cancer.We begin by summarizing cutting-edge omics technologies,then discuss multi-omics integration strategies,followed by the clinical translational potential of integrated omics,and finally,we analyze key challenges and issues in the clinical application of multi-omics.
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