摘要
肿瘤免疫治疗是目前最有希望的生物学疗法之一。异质性肿瘤免疫微环境的动态变化是判定肿瘤与免疫微环境相互作用和治疗疗效的关键因素,因此,实时对其组成细胞、相关基因和表型的量化分析至关重要。用于肿瘤免疫微环境的分析方法包括免疫组织化学、流式细胞术等。随着新一代测序技术的发展,转录组RNA测序数据分析成为确定肿瘤免疫微环境组成的重要方法之一。本文重点总结了常用的批量RNA测序数据分析方法及相关研究进展。
Cancer immunotherapy is one of the most promising biological therapies.The dynamic changes of the immune microenvironment of heterogeneous tumors are critical factors in determining the interaction and therapeutic efficacy between tumor and immune microenvironment.Therefore,quantitative analysis of its constituent cells,related genes,and phenotypes in real time is of great importance.The methods used to analyze tumor immune microenvironment include immunohistochemistry,flow cytometry and so on.With the development of next-generation sequencing technology,transcriptome RNA sequencing data analysis has become one of the important methods to determine the composition of tumor immune microenvironment.This article focuses on the common methods of bulk RNA sequencing data analysis and related research progress.
作者
陈肖
刘泉
任欢
CHEN Xiao;LIU Quan;REN Huan(School of Medicine,Southern University of Science and Technology,Shenzhen 518055,China)
出处
《肿瘤防治研究》
CAS
2023年第5期458-462,共5页
Cancer Research on Prevention and Treatment
关键词
肿瘤
免疫微环境
免疫治疗
批量转录组测序
反卷积
算法工具
Tumor
Immune microenvironment
Immunotherapy
Bulk transcriptome sequencing
Deconvolution
Algorithmic tools