空间转录组技术在非小细胞肺癌研究中的应用及展望  

Application and prospect of spatial transcriptome technique in non-small cell lung cancer

作　　者：韦国邦 丁启峰 陈东来 黎永忠 陈勇兵[1] Wei Guobang;Ding Qifeng;Chen Donglai;Li Yongzhong;Chen Yongbing(Department of Thoracic Surgery,the Second Affiliated Hospital of Soochow University,Suzhou 215004,China;Department of Thoracic Surgery,Zhongshan Hospital,Fudan University,Shanghai 200032,China)

机构地区：[1]苏州大学附属第二医院胸心外科,苏州215004 [2]复旦大学附属中山医院胸外科,上海200032

出　　处：《中华胸心血管外科杂志》2023年第7期422-427,共6页Chinese Journal of Thoracic and Cardiovascular Surgery

基　　金：苏州市科教兴卫青年科技项目(KJXW2021013)。

摘　　要：非小细胞肺癌(non-small cell lung cancer,NSCLC)是全球最常见的肿瘤之一,其组织中分子成分的复杂性以及细胞异质性使得临床治疗进展缓慢。近年来,单细胞测序技术在肿瘤异质性的研究中应用广泛,但其技术本身有着无法忽视的缺陷。区别于单细胞测序对组织的机械分离或酶解消化成单细胞悬液的实验过程,空间转录组(spatial transcriptome,ST)技术对组织进行原位转录组测序,实现对组织细胞进行高通量转录组分析的同时,保留细胞的原始位置信息,从而在不破坏细胞间通讯网络的基础上获得组织中不同区域的细胞构成和基因表达状态。本文对应用于肿瘤样本分析的ST技术及其在NSCLC领域的最新进展进行综述,旨在获得对NSCLC空间异质性的新见解。Non-small cell lung cancer(NSCLC)is one of the most common malignancies worldwide.Not only the complex molecular components but also the cellular heterogeneity in NSCLC tissues pose a great barrier for its clinical treatment.Recent years has witnessed the widespread application of single-cell sequencing in the studies regarding tumor heterogeneity.However,the disadvantages of single-cell sequencing technology itself could not be neglected.Spatial transcriptome(ST)technology allows in situ transcriptome sequencing of tissues to achieve high-throughput transcriptomic information of tissue cells with their spatial information available.In other words,ST makes it possible to acquire cellular composition and gene expression patterns without breaking intercellular communication network,which distinguishes itself from conventional single-cell sequencing,since mechanical separation and enzymatic digestion of tissue cells into single-cell suspension used to be inevitable during the performance of single-cell sequencing.To gain new insights into the spatial heterogeneity of NSCLC,we reviewed and summarized the latest progress in ST technology which has been applied to tumor sample analysis,especially to the field of NSCLC.

关 键 词：非小细胞肺癌 肿瘤异质性 细胞间通讯 单细胞悬液 机械分离 NSCLC 细胞构成 组织细胞 

分 类 号：R734.2[医药卫生—肿瘤]