Analysis of Tumor Immune Microenvironment Based on Bulk RNA-sequencing Data and Its Application

Abstract

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.

Keywords

• tumor
• immune microenvironment
• immunotherapy
• bulk transcriptome sequencing
• deconvolution
• algorithmic tools