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Tumor-Educated Platelet RNA for the Detection and (Pseudo)progression Monitoring of Glioblastoma

Sol, Nik (author)
't Veld, Sjors G. J. G. in (author)
Vancura, Adrienne (author)
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Tjerkstra, Maud (author)
Leurs, Cyra (author)
Rustenburg, Francois (author)
Schellen, Pepijn (author)
Verschueren, Heleen (author)
Post, Edward (author)
Zwaan, Kenn (author)
Ramaker, Jip (author)
Wedekind, Laurine E. (author)
Tannous, Jihane (author)
Ylstra, Bauke (author)
Killestein, Joep (author)
Mateen, Farrah (author)
Idema, Sander (author)
Hamer, Philip C. de Witt (author)
Navis, Anna C. (author)
Leenders, William P. J. (author)
Hoeben, Ann (author)
Moraal, Bastiaan (author)
Noske, David P. (author)
Vandertop, W. Peter (author)
Nilsson, R. Jonas A. (author)
Umeå universitet,Onkologi,Department of Neurosurgery, Cancer Center Amsterdam, University Medical Center, Amsterdam, the Netherlands
Tannous, Bakhos A. (author)
Wesseling, Pieter (author)
Reijneveld, Jaap C. (author)
Best, Myron G. (author)
Wurdinger, Thomas (author)
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 (creator_code:org_t)
Elsevier, 2020
2020
English.
In: Cell Reports Medicine. - : Elsevier. - 2666-3791. ; 1:7
Related links:
https://doi.org/10.1...
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https://umu.diva-por... (primary) (Raw object)
http://www.cell.com/...
https://urn.kb.se/re...
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  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

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