Department of Clinical Sciences, Lund, Section of Oncology and Pathology, Lund University, Lund, Sweden.
Center of Excellence in Biological and Medical Mass Spectrometry (CEBMMS), Lund University, Lund, Sweden.
Clin Cancer Res. 2019 May 15;25(10):3115-3127. doi: 10.1158/1078-0432.CCR-18-2946. Epub 2019 Jan 24.
Liquid biopsy has great potential to improve the management of brain tumor patients at high risk of surgery-associated complications. Here, the aim was to explore plasma extracellular vesicle (plEV) immunoprofiling as a tool for noninvasive diagnosis of glioma.
PlEV isolation and analysis were optimized using advanced mass spectrometry, nanoparticle tracking analysis, and electron microscopy. We then established a new procedure that combines size exclusion chromatography isolation and proximity extension assay-based ultrasensitive immunoprofiling of plEV proteins that was applied on a well-defined glioma study cohort ( = 82).
Among potential candidates, we for the first time identify syndecan-1 (SDC1) as a plEV constituent that can discriminate between high-grade glioblastoma multiforme (GBM, WHO grade IV) and low-grade glioma [LGG, WHO grade II; area under the ROC curve (AUC): 0.81; sensitivity: 71%; specificity: 91%]. These findings were independently validated by ELISA. Tumor SDC1 mRNA expression similarly discriminated between GBM and LGG in an independent glioma patient population from The Cancer Genome Atlas cohort (AUC: 0.91; sensitivity: 79%; specificity: 91%). In experimental studies with GBM cells, we show that SDC1 is efficiently sorted to secreted EVs. Importantly, we found strong support of plEV originating from GBM tumors, as plEV correlated with SDC1 protein expression in matched patient tumors, and plEV was decreased postoperatively depending on the extent of surgery.
Our studies support the concept of circulating plEVs as a tool for noninvasive diagnosis and monitoring of gliomas and should move this field closer to the goal of improving the management of cancer patients.
液体活检在提高手术相关并发症高危脑肿瘤患者的管理方面具有巨大潜力。本研究旨在探索血浆细胞外囊泡(plEV)免疫分析作为一种非侵入性诊断脑胶质瘤的工具。
使用先进的质谱、纳米颗粒跟踪分析和电子显微镜优化 plEV 分离和分析。然后,我们建立了一种新的程序,该程序结合大小排阻色谱分离和基于邻近延伸分析的 plEV 蛋白超灵敏免疫分析,应用于明确的脑胶质瘤研究队列(n=82)。
在潜在候选物中,我们首次鉴定出 syndecan-1(SDC1)作为 plEV 的组成部分,可区分高级别多形性胶质母细胞瘤(GBM,WHO 分级 IV)和低级别胶质瘤[LGG,WHO 分级 II;ROC 曲线下面积(AUC):0.81;灵敏度:71%;特异性:91%]。这些发现通过 ELISA 独立验证。肿瘤 SDC1mRNA 表达在来自癌症基因组图谱队列的独立脑肿瘤患者群体中也可区分 GBM 和 LGG(AUC:0.91;灵敏度:79%;特异性:91%)。在 GBM 细胞的实验研究中,我们表明 SDC1 可有效地分选到分泌的 EV 中。重要的是,我们发现源自 GBM 肿瘤的 plEV 得到了有力支持,因为 plEV 与患者肿瘤中 SDC1 蛋白表达相关,并且 plEV 在手术后会根据手术范围减少。
我们的研究支持将循环 plEV 作为非侵入性诊断和监测脑胶质瘤的工具的概念,并应使该领域更接近改善癌症患者管理的目标。