학술논문
Tumor-Educated Platelet RNA for the Detection and (Pseudo)progression Monitoring of Glioblastoma
Document Type
article
Author
Nik Sol; Sjors G.J.G. in ‘t Veld; Adrienne Vancura; Maud Tjerkstra; Cyra Leurs; François Rustenburg; Pepijn Schellen; Heleen Verschueren; Edward Post; Kenn Zwaan; Jip Ramaker; Laurine E. Wedekind; Jihane Tannous; Bauke Ylstra; Joep Killestein; Farrah Mateen; Sander Idema; Philip C. de Witt Hamer; Anna C. Navis; William P.J. Leenders; Ann Hoeben; Bastiaan Moraal; David P. Noske; W. Peter Vandertop; R. Jonas A. Nilsson; Bakhos A. Tannous; Pieter Wesseling; Jaap C. Reijneveld; Myron G. Best; Thomas Wurdinger
Source
Cell Reports Medicine, Vol 1, Iss 7, Pp 100101- (2020)
Subject
Language
English
ISSN
2666-3791
Abstract
Summary: Tumor-educated platelets (TEPs) are potential biomarkers for cancer diagnostics. We employ TEP-derived RNA panels, determined by swarm intelligence, to detect and monitor glioblastoma. 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.