骨髓增殖性肿瘤患者血清金属蛋白酶抑制剂-1、基质金属蛋白酶-9、血管内皮生长因子与骨髓纤维化程度的相关性

Correlations of serum tissue inhibitor of metalloproteinases-1, matrix metalloproteinase-9 and vascular endothelial growth factor with degree of myelofibrosis in patients with myeloproliferative neoplasms

  • 摘要:
    目的 探讨骨髓增殖性肿瘤(MPN)患者血清血管内皮生长因子(VEGF)、基质金属蛋白酶-9(MMP-9)及金属蛋白酶抑制剂-1(TIMP-1)与骨髓纤维化(MF)分级的关系。
    方法 选择90例费城染色体阴性(Ph-)MPN初诊患者为MPN组。根据世界卫生组织(WHO)2016年骨髓纤维化分级标准将MPN患者分为纤维化前期或早期组54例和明显纤维化期组36例; 另选取健康志愿者50例作为对照组。采用酶联免疫吸附实验检测血清VEGF、MMP-9、TIMP-1水平并计算TIMP-1与MMP-9比值(TIMP-1/MMP-9)。采用Spearman秩相关检验分析VEGF、MMP-9、TIMP-1、TIMP-1/MMP-9与MF分级的相关性。绘制受试者工作特征(ROC)曲线分析各指标单独或联合诊断MPN或区分MF分级的预测价值。
    结果 与对照组相比, MPN组血清VEGF、MMP-9和TIMP-1均升高,差异有统计学意义(P < 0, 05)。VEGF、MMP-9、TIMP-1、TIMP-1/MMP-9诊断MPN的曲线下面积(AUC)分别为0.834、0.745、0.923、0.618; VEGF、MMP-9和TIMP-1联合诊断MPN的AUC为0.960; 当最佳截断值为0.627时,敏感度为85.56%, 特异度为92.00%。与纤维化前期或早期组相比,明显纤维化期组患者血清VEGF、TIMP-1、TIMP-1/MMP-9均升高,差异有统计学意义(P < 0.05)。Spearman相关性分析结果显示, VEGF(r=0.378,P=0.001)、TIMP-1(r=0.512, P < 0.001)、TIMP-1/MMP-9(r=0.353, P=0.001)与MPN患者MF分级呈正相关(P < 0.05)。ROC曲线分析显示,VEGF、MMP-9、TIMP-1、TIMP-1/MMP-9区分纤维化前期或早期患者和明显纤维化期患者的AUC分别为0.723、0.523、0.802、0.708; VEGF、TIMP-1和TIMP-1/MMP-9联合区分纤维化前期或早期患者和明显纤维化期患者的AUC为0.838; 当最佳截断值为0.530时,敏感度为72.22%, 特异度为85.19%。
    结论 血清VEGF、TIMP-1和TIMP-1/MMP-9均可反映MPN患者MF进展,各指标联合检测可预测MPN患者MF程度。

     

    Abstract:
    Objective To explore the correlations of serum vascular endothelial growth factor (VEGF), matrix metalloproteinase-9 (MMP-9) and tissue inhibitor of metalloproteinases-1 (TIMP-1) with grading of myelofibrosis (MF) in patients with myeloproliferative neoplasms (MPN).
    Methods Ninety patients with Philadelphia chromosome negative (Ph-)MPN were selected as MPN group. According to the grading criteria for myelofibrosis by the World Health Organization (WHO) in 2016, MPN patients were divided into pre-fibrosis or early fibrosis group with 54 cases and significant fibrosis group with 36 cases; another 50 healthy volunteers were selected as the control group. Levels of serum VEGF, MMP-9 and TIMP-1 were detected by enzyme-linked immunosorbent assay, and the ratio of TIMP-1 to MMP-9 (TIMP-1/MMP-9) was calculated. Spearman rank correlation test was used to analyze the correlations of VEGF, MMP-9, TIMP-1 and TIMP-1/MMP-9 with MF grading. Receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of each indicator alone or their combination for diagnosing MPN or distinguishing MF grading.
    Results Compared with the control group, the serum levels of VEGF, MMP-9 and TIMP-1 in the MPN group increased significantly (P < 0.05). Values of area under the curve (AUC) of VEGF, MMP-9, TIMP-1 and TIMP-1/MMP-9 for diagnosing MPN were 0, 834, 0.745, 0.923 and 0.618 respectively; the AUC of the combined diagnosis of MPN by VEGF, MMP-9 and TIMP-1 was 0.960; when the optimal cut-off value was 0.627, the sensitivity was 85.56%, and the specificity was 92.00%. Compared with the pre-fibrosis or early fibrosis group, the serum levels of VEGF, TIMP-1 and TIMP-1/MMP-9 in the significant fibrosis group increased significantly (P < 0.05). Spearman correlation analysis showed that VEGF (r=0.378, P=0.001), TIMP-1 (r=0.512, P < 0.001) and TIMP-1/MMP-9 (r=0.353, P=0.001) were positively correlated with the MF grading of MPN patients (P < 0.05). ROC curve analysis showed that the values of AUC of VEGF, MMP-9, TIMP-1 and TIMP-1/MMP-9 for distinguishing patients with pre-fibrosis or early fibrosis from those with significant fibrosis were 0.723, 0.523, 0.802 and 0.708 respectively; the AUC of the combined detection of VEGF, TIMP-1 and TIMP-1/MMP-9 for distinguishing patients with pre-fibrosis or early fibrosis from those with significant fibrosis was 0.838; when the optimal cut-off value was 0.530, the sensitivity was 72.22%, and the specificity was 85.19%.
    Conclusion Serum VEGF, TIMP-1 and TIMP-1/MMP-9 can reflect the MF progression of MPN patients, and the combined detection of these indicators can predict the MF degree of MPN patients.

     

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