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引用次数: 0
摘要
背景/目的：胶质母细胞瘤（GBM）患者的生物标记物非常稀缺。细胞外囊泡（EV）是一种有希望成为潜在生物标志物的候选物质。因此，EV浓度可作为肿瘤负荷、体积和预后的潜在生物标志物：通过差速离心法从36名GBM患者的血浆中分离出大EV（lEV）和小EV（sEV）。采用纳米粒子追踪技术测量EV浓度。通过评估T2/FLAIR弛豫时间对肿瘤体积进行定量分析：结果：lEV的平均大小为173.3 nm ± 18.2 nm，而sEV的大小为148.3 ± 9.0 nm。lEV浓度越高的患者总生存期越长（36.1个月对16.5个月，P=0.08）。在炎症指标方面，较高的白细胞计数与较高的 sEV 浓度呈正相关（r2=0.3887，DF 21，p=0.0015）。lEV或sEV浓度与肿瘤体积无明显关系：结论：外周血中的总体 EV 浓度不能预测肿瘤体积。
The Diagnostic Potential of Extracellular Vesicles Derived From the Blood Plasma of Glioblastoma Patients.
Background/aim: Biomarkers for patients suffering from glioblastoma (GBM) are scarce. Extracellular vesicles (EV) are a promising candidate for a potential biomarker. Therefore, EV concentration could be a potential biomarker of tumor burden, volume, and prognosis.
Patients and methods: Large EV (lEV) and small EV (sEV) were isolated from 36 GBM patients' blood plasma by differential centrifugation. Nanoparticle tracking was used to measure EV concentration. Quantitative analysis of tumor volume was performed by evaluating T2/FLAIR relaxation times.
Results: The mean size of lEV was 173.3 nm ± 18.2 nm, while sEV measured 148.3 ± 9.0 nm. Patients with higher lEV concentrations showed a trend towards longer overall survival (36.1 vs. 16.5 months, p=0.08). Regarding inflammatory markers, higher leukocyte count was positively correlated with higher sEV concentration (r2=0.3887, DF 21, p=0.0015). No significant relationship was found between lEV or sEV concentration and tumor volume.
Conclusion: Overall EV concentration in the peripheral blood is not a predictor of tumor volume. sEV concentration is associated with a potential pro-inflammatory metabolism.
期刊介绍：
IN VIVO is an international peer-reviewed journal designed to bring together original high quality works and reviews on experimental and clinical biomedical research within the frames of physiology, pathology and disease management.
The topics of IN VIVO include: 1. Experimental development and application of new diagnostic and therapeutic procedures; 2. Pharmacological and toxicological evaluation of new drugs, drug combinations and drug delivery systems; 3. Clinical trials; 4. Development and characterization of models of biomedical research; 5. Cancer diagnosis and treatment; 6. Immunotherapy and vaccines; 7. Radiotherapy, Imaging; 8. Tissue engineering, Regenerative medicine; 9. Carcinogenesis.
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