Research Paper|Volume 13, Issue 2|pp 2168—2183

Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas

Hongmin Chen^1,², Yijiang Song^1,², Chuangzhong Deng^1,², Yanyang Xu^1,², Huaiyuan Xu^1,², Xiaojun Zhu^1,², Guohui Song^1,², Qinglian Tang^1,², Jinchang Lu^1,², Jin Wang^1,²

¹Department of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China
²State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, P. R. China

Received: March 3, 2020Accepted: October 31, 2020Published: December 9, 2020

https://doi.org/10.18632/aging.202229

Copyright: © 2021 Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Tumor microenvironments are strongly related to tumor development, and immune-infiltrating cells and immune-related molecules are potential prognostic markers. However, the shortcomings of traditional measurement methods limit the accurate evaluation of various components in tumor microenvironments. With the rapid advancement of Next-Generation RNA Sequencing technology, dedicated and in-depth analyses of immune filtration within the tumor microenvironment has been achieved. In this study, we combined the bioinformatics analysis methods ESTIMATE, CIBERSORT, and ssGSEA to characterize the immune infiltration of sarcomas and to identify specific immunomodulators of different pathological subtypes. We further extracted a functional enrichment of significant immune-related genes related to improved prognosis, including NR1H3, VAMP5, GIMAP2, GBP2, HLA-E and CRIP1. Overall, the immune microenvironment is an important prognostic determinant of sarcomas and may be a potential resource for developing effective immunotherapy.