血管内皮生长因子、单核细胞趋化蛋白1、分化抑制因子1在脑胶质瘤中的表达及与血管生成的相关性分析

Expressions of vascular endothelial growth factor, monocyte chemotactic protein 1 and inhibitor of differentiation 1 in glioma and their correlations with angiogenesis

摘要:

目的 分析血管内皮生长因子（VEGF）、单核细胞趋化蛋白1（MCP-1）、分化抑制因子1（Id1）在脑胶质瘤中的表达及与血管生成的相关性。方法 选取2018年4月—2020年5月湖北省中西医结合医院脑胶质瘤患者150例作为病例组。另选取该院因脑外伤后行颅内减压术的50例非肿瘤患者（正常脑组织）作为对照组。对比两组患者血清VEGF、MCP-1、Id1水平，绘制ROC曲线分析血清VEGF、MCP-1、Id1水平预测脑胶质瘤发生的价值；比较不同级别脑胶质瘤患者血清VEGF、MCP-1、Id1水平及肿瘤微血管密度（MVD）值，Pearson法分析血清VEGF、MCP-1、Id1水平与MVD值的相关性。结果 病例组血清VEGF、Id1水平较对照组高，MCP-1水平较对照组低（P <0.05）。ROC曲线结果显示，血清VEGF、MCP-1、Id1水平及3者联合预测胶质瘤发生的AUC分别为0.873（95% CI：0.823，0.923）、0.776（95% CI：0.699，0.853）、0.898（95% CI：0.850，0.946）、0.908（95% CI：0.851，0.978）。高级别组血清VEGF、Id1水平及MVD较低级别组高，MCP-1水平较低级别组低（P <0.05）。Pearson相关性分析显示，脑胶质瘤患者MVD与血清VEGF水平、Id1水平呈正相关（r =0.532和0.697，均P <0.05），与MCP-1水平呈负相关（r =-0.395，P <0.05）。结论 脑胶质瘤患者血清VEGF、Id1水平上调，MCP-1水平下调，三项指标与肿瘤血管生成密切相关，且可有效预测胶质瘤的发生。

Abstract:

Objective To analyze the expressions of vascular endothelial growth factor (VEGF), monocyte chemotactic protein 1 (MCP-1), and inhibitor of differentiation 1 (Id1) in glioma and their correlations with angiogenesis.Methods A total of 150 glioma patients admitted to Hubei Provincial Hospital of Integrated Traditional Chinese and Western Medicine from April 2018 to May 2020 were selected as the case group, and 50 non-tumor patients (with normal brain tissues) undergoing intracranial decompression after brain trauma were selected as the control group. The serum levels of VEGF, MCP-1 and Id1 were compared between the two groups. The values of these indicators in predicting the occurrence of glioma were determined via ROC curve analysis. The serum levels of VEGF, MCP-1 and Id1 as well as the intratumoral microvessel density (MVD) were compared among patients with different degrees of glioma. The correlations between the serum levels of VEGF, MCP-1 and Id1 and the intratumoral MVD were analyzed by the Pearson method.Results The serum levels of VEGF and Id1 in the case group were higher than those in the control group (P < 0.05), while the serum level of MCP-1 was lower in the case group compared with the control group (P < 0.05). The ROC curve analysis revealed that the AUCs of serum levels of VEGF, MCP-1 and Id1 as well as their combination for predicting the occurrence of glioma were 0.873 (95% CI: 0.823, 0.923), 0.776 (95% CI: 0.699, 0.853), 0.898 (95% CI: 0.850, 0.946), and 0.908 (95% CI: 0.851, 0.978), respectively. The serum levels of VEGF and Id1 and intratumoral MVD were higher, and the serum level of MCP-1 was lower in patients with high degrees of glioma than those in patients with low degrees of glioma (P < 0.05). The Pearson correlation analysis showed that the intratumoral MVD was positively correlated with the serum levels of VEGF (r = 0.532, P = 0.000) and Id1 (r = 0.697, P = 0.000), but negatively correlated with the serum level of MCP-1 (r =-0.395, P = 0.003).Conclusions In glioma patients, serum levels of VEGF and Id1 are upregulated while the serum level of MCP-1 is down-regulated. These indicators are closely related to tumor angiogenesis and effectively predict the occurrence of glioma.