肿瘤相关血小板 RNA 用于胶质母细胞瘤的检测和（假性）进展监测。
Tumor-Educated Platelet RNA for the Detection and (Pseudo)progression Monitoring of Glioblastoma.
机构信息
Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands.
Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands.
出版信息
Cell Rep Med. 2020 Oct 20;1(7):100101. doi: 10.1016/j.xcrm.2020.100101.
Tumor-educated platelets (TEPs) are potential biomarkers for cancer diagnostics. We employ TEP-derived RNA panels, determined by . We assessed specificity by comparing the spliced RNA profile of TEPs from glioblastoma patients with multiple sclerosis and brain metastasis patients (validation series, n = 157; accuracy, 80%; AUC, 0.81 [95% CI, 0.74-0.89; p < 0.001]). Second, analysis of patients with glioblastoma versus asymptomatic healthy controls in an independent validation series (n = 347) provided a detection accuracy of 95% and AUC of 0.97 (95% CI, 0.95-0.99; p < 0.001). Finally, we developed the digitalSWARM algorithm to improve monitoring of glioblastoma progression and demonstrate that the TEP tumor scores of individual glioblastoma patients represent tumor behavior and could be used to distinguish false positive progression from true progression (validation series, n = 20; accuracy, 85%; AUC, 0.86 [95% CI, 0.70-1.00; p < 0.012]). In conclusion, TEPs have potential as a minimally invasive biosource for blood-based diagnostics and monitoring of glioblastoma patients.
肿瘤教育血小板 (TEP) 是癌症诊断的潜在生物标志物。我们采用由 确定的 TEP 衍生的 RNA 面板。我们通过比较胶质母细胞瘤患者、多发性硬化症和脑转移患者的 TEP 剪接 RNA 图谱来评估特异性（验证系列，n=157；准确性，80%；AUC，0.81 [95%CI，0.74-0.89；p<0.001]）。其次，在独立验证系列中对胶质母细胞瘤患者与无症状健康对照者进行分析（n=347），提供了 95%的检测准确性和 0.97 的 AUC（95%CI，0.95-0.99；p<0.001）。最后，我们开发了数字 SWARM 算法来改善胶质母细胞瘤进展的监测，并证明个体胶质母细胞瘤患者的 TEP 肿瘤评分代表肿瘤行为，可用于区分假阳性进展与真正进展（验证系列，n=20；准确性，85%；AUC，0.86 [95%CI，0.70-1.00；p<0.012]）。总之，TEP 具有作为基于血液的诊断和监测胶质母细胞瘤患者的微创生物源的潜力。
Zotero 插件