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首页> 外文期刊>Journal of Clinical Medicine >Identification of Prognostic Markers in Patients with Primary Vitreoretinal Lymphoma by Clustering Analysis Using Clinical Data
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Identification of Prognostic Markers in Patients with Primary Vitreoretinal Lymphoma by Clustering Analysis Using Clinical Data

机译：用临床数据进行聚类分析鉴定原发性培养物淋巴瘤患者的预后标志物

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(1) Purpose: Primary vitreoretinal lymphoma (PVRL) is associated with poor prognosis because most of the patients with PVRL develop central nerve system lymphoma. The prognostic biomarker of PVRL is largely unknown. Cluster analysis has been used to identify phenotypic groups within various diseases. In this study, we aimed to describe clinical features of patients with PVRL grouped by clustering analysis and to identify biomarkers for predicting survival prognosis in patients with PVRL. (2) Materials and Methods: Forty patients with PVRL were divided into two groups by clustering analysis using clinical data. Clinical features of the two groups were compared. (3) Result: Clustering analysis classified patients into groups A and B. The survival rate during the follow-up period was significantly lower in group B than in group A ( p = 0.03). Serum IgG, serum IgA, vitreous IL-10 and vitreous IL-10 to IL-6 ratio were significantly different between groups A and B ( p = 0.03, 0.005, 0.008 and 0.03, respectively). Receiver operating characteristic (ROC) curves generated for the four variables indicated that serum IgA was most suitable for the prediction of prognosis. Patients with serum IgA below 184 mg/dL obtained from the ROC curve had a lower three-year survival rate ( p = 0.03) and more episodes of recurrence of lymphoma (3.2 times versus 1.8 times, p = 0.02) compared with patients with serum IgA above 184 mg/dL. (4) Conclusion: The survival rate was significantly different in PVRL patients classified into two groups by clustering analysis. Patients with lower serum IgA had more recurrences and poorer survival than patients with higher IgA.
机译：（1）目的：原发性培体淋巴瘤（PVRL）与预后差有关，因为大多数PVRL患者开发中枢神经系统淋巴瘤。 PVRL的预后生物标志物在很大程度上是未知的。聚类分析已用于鉴定各种疾病中的表型群体。在本研究中，我们旨在描述通过聚类分析进行PVRL患者的临床特征，并鉴定用于预测PVR1患者的生存预后的生物标志物。 （2）材料和方法：通过使用临床数据进行分析分析分为两组PVR1的40例。比较了两组的临床特征。 （3）结果：将群体分析分类为A组和B组。B组中随访期间的存活率显着低于A组（P = 0.03）。血清IgG，血清IgA，玻璃体IL-10和玻璃体IL-10至IL-6的比例在A和B组之间显着差异（P = 0.03,0005,0.008和0.03）。为四个变量产生的接收器操作特征（ROC）曲线表明，血清IgA最适合预测预测。与血清患者相比，患有从ROC曲线的184mg / dL低于ROC曲线的血清IgA的患者的三年存活率（p = 0.03），更高的淋巴瘤复发性（3.2倍，p = 0.02）相比IgA以上184 mg / dl。 （4）结论：通过聚类分析分为两组的PVRL患者的存活率显着差异。血清IGA患者的患者比患有更高IgA的患者更复发和存活率较差。

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