Clinical utility of cytokine analysis in the diagnosis and efficacy monitoring of vitreoretinal lymphoma

细胞因子分析在玻璃体视网膜淋巴瘤诊断和疗效监测中的临床应用价值

阅读:1

Abstract

AIM: To investigate the value of cytokine analysis in aqueous humor (AH) for discriminating vitreoretinal lymphoma (VRL) from uveitis and for evaluating the efficacy of intravitreal methotrexate (MTX) injections. METHODS: This retrospective study was done on 28 VRL patients between 2013 and 2019. AH interleukin (IL)-10, IL-6, IL-8, vascular endothelial growth factor (VEGF), and vascular cell adhesion molecules (VCAM) were measured in 28 VRL patients and 38 uveitis patients. As to the respective examinations for distinguishing VRL from uveitis, the diagnostic accuracy was evaluated by receiver operating characteristic (ROC) curve analysis. The response to treatment was monitored by observing changes in best-corrected visual acuity (BCVA), ocular manifestation, and AH cytokine levels in 21 patients with VRL who had undergo multiple intravitreal injections of MTX. RESULTS: Compared with uveitis patients, VRL patients had higher IL-10 level (P<0.001) and IL-10/IL-6 ratio (P<0.001), whereas patients with uveitis had significantly higher IL-6 level than those with VRL (P=0.003). An ROC analysis was used to identify the diagnostic threshold values for VRL, and it was found that optimal sensitivity and specificity improved to 94.1% and 100%, respectively, for IL-10/IL-6>1.55 and 88.2% and 81.1%, respectively, for IL-10>76.7 pg/mL. In 21 patients who had undergo repeated injections, improvements in BCVA, clinical remission of VRL and continuous decrease in cytokine levels over time were observed. In those patients, the BCVA correlated with the aqueous levels of IL-10 and IL-6 during the course of disease treatment. CONCLUSION: The combination of the aqueous cytokine profiles can be instrumental for conventional diagnostic methods and for progression monitoring and treatment response.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。