Chen Long-Hao, Liu Jin-Fu, Lu Yan-, He Xin-Yu, Zhang Chi-, Zhou Hong-Hai
Faculty of Orthopedics and Traumatology, Guangxi University of Chinese Medicine, Nanning, China.
Graduate School, Guangxi University of Chinese Medicine, Nanning, China.
Front Oncol. 2021 May 17;11:642144. doi: 10.3389/fonc.2021.642144. eCollection 2021.
The tumor microenvironment (TME) has important effects on the tumorigenesis and development of osteosarcoma (OS). However, the dynamic mechanism regulating TME immune and matrix components remains unclear. In this study, we collected quantitative data on the gene expression of 88 OS samples from The Cancer Genome Atlas (TCGA) database and downloaded relevant clinical cases of OS from the TARGET database. The proportions of tumor-infiltrating immune cells (TICs) and the numbers of immune and matrix components were determined by CIBERSORT and ESTIMATE calculation methods. Protein-protein interaction (PPI) network construction and Cox regression analysis were conducted to analyze differentially expressed genes (DEGs). The complement components C1qA, C1qB and C1qC were then determined to be predictive factors through univariate Cox analysis and PPI cross analysis. Further analysis found that the levels of C1qA, C1qB and C1qC expression were positively linked to OS patient survival time and negatively correlated with the clinicopathological feature percent necrosis at definitive surgery. The results of gene set enrichment analysis (GSEA) demonstrated that genes related to immune functions were significantly enriched in the high C1qA, C1qB and C1qC expression groups. Proportion analysis of TICs by CIBERSORT showed that the levels of C1qA, C1qB and C1qC expression were positively related to M1 and M2 macrophages and CD8+ cells and negatively correlated with M0 macrophages. These results further support the influence of the levels of C1qA, C1qB and C1qC expression on the immune activity of the TME. Therefore, C1qA, C1qB and C1qC may be potential indicators of remodeling in the OS TME, which is helpful to predict the prognosis of patients with OS and provide new ideas for immunotherapy for OS.
肿瘤微环境(TME)对骨肉瘤(OS)的发生发展具有重要影响。然而,调节TME免疫和基质成分的动态机制仍不清楚。在本研究中,我们从癌症基因组图谱(TCGA)数据库收集了88个OS样本的基因表达定量数据,并从TARGET数据库下载了OS的相关临床病例。通过CIBERSORT和ESTIMATE计算方法确定肿瘤浸润免疫细胞(TICs)的比例以及免疫和基质成分的数量。进行蛋白质-蛋白质相互作用(PPI)网络构建和Cox回归分析以分析差异表达基因(DEG)。然后通过单变量Cox分析和PPI交叉分析确定补体成分C1qA、C1qB和C1qC为预测因子。进一步分析发现,C1qA、C1qB和C1qC的表达水平与OS患者的生存时间呈正相关,与确诊手术时的临床病理特征坏死百分比呈负相关。基因集富集分析(GSEA)结果表明,与免疫功能相关的基因在高C1qA、C1qB和C1qC表达组中显著富集。CIBERSORT对TICs的比例分析表明,C1qA、C1qB和C1qC的表达水平与M1和M2巨噬细胞以及CD8 +细胞呈正相关,与M0巨噬细胞呈负相关。这些结果进一步支持了C1qA、C1qB和C1qC表达水平对TME免疫活性的影响。因此,C1qA、C1qB和C1qC可能是OS TME重塑的潜在指标,有助于预测OS患者的预后并为OS免疫治疗提供新思路。