Wang Yutao, Yan Kexin, Lin Jiaxing, Li Jun, Bi Jianbin
Department of Urology, The First Hospital of China Medical University, China Medical University, Shenyang, China.
Department of Dermatology, The First Hospital of China Medical University, China Medical University, Shenyang, China.
Front Genet. 2021 Feb 22;12:615655. doi: 10.3389/fgene.2021.615655. eCollection 2021.
In the tumor microenvironment, the functional differences among various tumor-associated macrophages (TAM) are not completely clear. Tumor-associated macrophages are thought to promote the progression of cancer. This article focuses on exploring M2 macrophage-related factors and behaviors of renal clear cell carcinoma. We obtained renal clear cell carcinoma data from TCGA-KIRC-FPKM, GSE8050, GSE12606, GSE14762, and GSE3689. We used the "Cibersort" algorithm to calculate type M2 macrophage proportions among 22 types of immune cells. M2 macrophage-related co-expression module genes were selected using weighted gene co-expression network analysis (WGCNA). A renal clear cell carcinoma prognosis risk score was built based on M2 macrophage-related factors. The ROC curve and Kaplan-Meier analysis were performed to evacuate the risk score in various subgroups. The Pearson test was used to calculate correlations among M2 macrophage-related genes, clinical phenotype, immune phenotype, and tumor mutation burden (TMB). We measured differences in co-expression of genes at the protein level in clear renal cell carcinoma tissues. There were six M2 macrophage co-expressed genes (F13A1, FUCA1, SDCBP, VSIG4, HLA-E, TAP2) related to infiltration of M2 macrophages; these were enriched in neutrophil activation and involved in immune responses, antigen processing, and presentation of exogenous peptide antigen via MHC class I. M2-related factor frequencies were robust biomarkers for predicting the renal clear cell carcinoma patient clinical phenotype and immune microenvironment. The Cox regression model, built based on M2 macrophage-related factors, showed a close prognostic correlation (AUC = 0.78). The M2 macrophage-related prognosis model also performed well in various subgroups. Using western blotting, we found that VSIG4 protein expression levels were higher in clear renal cell carcinoma tissues than in normal tissues. These co-expressed genes were most related to the M2 macrophage phenotype. They correlated with the immune microenvironment and predicted outcomes of renal clear cell carcinoma. These co-expressed genes and the biological processes associated with them might provide the basis for new strategies to intervene via chemotaxis of M2 macrophages.
在肿瘤微环境中,各种肿瘤相关巨噬细胞(TAM)之间的功能差异尚不完全清楚。肿瘤相关巨噬细胞被认为会促进癌症进展。本文重点探讨肾透明细胞癌中与M2巨噬细胞相关的因子和行为。我们从TCGA-KIRC-FPKM、GSE8050、GSE12606、GSE14762和GSE3689获取了肾透明细胞癌数据。我们使用“Cibersort”算法计算22种免疫细胞中M2型巨噬细胞的比例。使用加权基因共表达网络分析(WGCNA)选择与M2巨噬细胞相关的共表达模块基因。基于与M2巨噬细胞相关的因子建立了肾透明细胞癌预后风险评分。进行ROC曲线和Kaplan-Meier分析以评估各亚组中的风险评分。使用Pearson检验计算与M2巨噬细胞相关的基因、临床表型、免疫表型和肿瘤突变负担(TMB)之间的相关性。我们在肾透明细胞癌组织中测量了基因在蛋白质水平上的共表达差异。有六个与M2巨噬细胞浸润相关的共表达基因(F13A1、FUCA1、SDCBP、VSIG4、HLA-E、TAP2);这些基因在中性粒细胞活化中富集,并参与免疫反应、抗原加工以及通过MHC I类呈递外源性肽抗原。与M2相关的因子频率是预测肾透明细胞癌患者临床表型和免疫微环境的可靠生物标志物。基于与M2巨噬细胞相关的因子建立的Cox回归模型显示出密切的预后相关性(AUC = 0.78)。与M2巨噬细胞相关的预后模型在各亚组中也表现良好。通过蛋白质印迹法,我们发现VSIG4蛋白在肾透明细胞癌组织中的表达水平高于正常组织。这些共表达基因与M2巨噬细胞表型最为相关。它们与免疫微环境相关,并可预测肾透明细胞癌的预后。这些共表达基因及其相关的生物学过程可能为通过M2巨噬细胞趋化作用进行干预的新策略提供依据。