Identification and Verification of Immune-Related Gene Prognostic Signature Based on ssGSEA for Osteosarcoma

骨肉瘤 免疫系统 基因签名 渗透(HVAC) 比例危险模型 基因 癌症研究 医学 生物 肿瘤科 免疫学 内科学 基因表达 遗传学 热力学 物理
作者
Bo Xiao,Liyan Liu,Aoyu Li,Cheng Xiang,Pingxiao Wang,Hui Li,Tao Xiao
出处
期刊:Frontiers in Oncology [Frontiers Media]
卷期号:10 被引量:153
标识
DOI:10.3389/fonc.2020.607622
摘要

Osteosarcoma is the most common malignant bone tumor in children and adolescence. Multiple immune-related genes have been reported in different cancers. The aim is to identify an immune-related gene signature for the prospective evaluation of prognosis for osteosarcoma patients. In this study, we evaluated the infiltration of immune cells in 101 osteosarcoma patients downloaded from TARGET using the ssGSEA to the RNA-sequencing of these patients, thus, high immune cell infiltration cluster, middle immune cell infiltration cluster and low immune cell infiltration cluster were generated. On the foundation of high immune cell infiltration cluster vs. low immune cell infiltration cluster and normal vs. osteosarcoma, we found 108 common differentially expressed genes which were sequentially submitted to univariate Cox and LASSO regression analysis. Furthermore, GSEA indicated some pathways with notable enrichment in the high- and low-immune cell infiltration cluster that may be helpful in understanding the potential mechanisms. Finally, we identified seven immune-related genes as prognostic signature for osteosarcoma. Kaplan-Meier analysis, ROC curve, univariate and multivariate Cox regression further confirmed that the seven immune-related genes signature was an innovative and significant prognostic factor independent of clinical features. These results of this study offer a means to predict the prognosis and survival of osteosarcoma patients with uncovered seven-gene signature as potential biomarkers.
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