肿瘤浸润性免疫细胞分析数据库TIMER2.0的应用介绍  

Introduction to the application of tumor infiltrating immune cell analysis database TIMER2.0

作　　者：耿辉[1] 田国祥[2] 王亚军[1] 张勇[3] 马茂[1] 吕军 Geng Hui;Tian Guoxiang;Wang Yajun;Zhang Yong;Ma Mao;Lyu Jun(Physical Examination Center,The First Affiliated Hospital of Xi'an Jiaotong University,Xi'an 710061,P.R.China;不详)

机构地区：[1]西安交通大学第一附属医院体检部,西安710061 [2]解放军总医院第七医学中心老年医学科,北京100700 [3]西安交通大学第一附属医院国有资产办公室,西安710061 [4]暨南大学附属第一医院临床研究部,广州510630

出　　处：《中国循证心血管医学杂志》2020年第11期1283-1286,1301,共5页Chinese Journal of Evidence-Based Cardiovascular Medicine

基　　金：陕西省基金(2020SF-071);西安交通大学第一附属医院院基金(2019RKX-05)。

摘　　要：随着分子生物学技术蓬勃发展,越来越多的肿瘤学者通过The Cancer Genome Atlas(TCGA)数据库下载高通量测序数据,运用生物信息学分析的方法,识别肿瘤免疫微环境中各种细胞的表达量,进行肿瘤浸润性免疫细胞的分析工作,但是肿瘤与免疫的相互作用往往十分复杂,临床工作人员面对庞大数据量展开分析工作仍然充满困难,基于此本文介绍一款全面分析肿瘤浸润性免疫细胞及其可视化的数据库TIMER2.0,旨在为临床研究人员轻松识别多种癌症类型与正常组织及免疫细胞浸润之间的基因组学关系,快速运用多种算法掌握肿瘤概况。With the rapid development of molecular biology technology,more and more oncologists download high-throughput sequencing data through The Cancer Genome Atlas(TCGA)database,and use bioinformatics analysis methods to identify various cells in the tumor immune microenvironment For the analysis of tumor infiltrating immune cells,the interaction between tumor and immunity is often very complicated.Clinical staff is still full of challenges in analyzing the huge amount of data.Based on this,this article introduces a comprehensive analysis of tumor infiltration Sexual immune cells and its visualization database TIMER2.0 are designed to allow clinical researchers to easily identify important associated nodes in a variety of cancer types and quickly use the latest algorithms to grasp the tumor profile.

关 键 词：TCGA TIMER2.0 生物信息学 肿瘤浸润性免疫细胞 

分 类 号：R4[医药卫生—临床医学]