학술논문
Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management
Document Type
article
Author
Mafalda Antunes-Ferreira; Silvia D’Ambrosi; Mohammad Arkani; Edward Post; Sjors G. J. G. In ‘t Veld; Jip Ramaker; Kenn Zwaan; Ece Demirel Kucukguzel; Laurine E. Wedekind; Arjan W. Griffioen; Mirjam Oude Egbrink; Marijke J. E. Kuijpers; Daan van den Broek; David P. Noske; Koen J. Hartemink; Siamack Sabrkhany; Idris Bahce; Nik Sol; Harm-Jan Bogaard; Danijela Koppers-Lalic; Myron G. Best; Thomas Wurdinger
Source
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Subject
Language
English
ISSN
2045-2322
Abstract
Abstract Liquid biopsy approaches offer a promising technology for early and minimally invasive cancer detection. Tumor-educated platelets (TEPs) have emerged as a promising liquid biopsy biosource for the detection of various cancer types. In this study, we processed and analyzed the TEPs collected from 466 Non-small Cell Lung Carcinoma (NSCLC) patients and 410 asymptomatic individuals (controls) using the previously established thromboSeq protocol. We developed a novel particle-swarm optimization machine learning algorithm which enabled the selection of an 881 RNA biomarker panel (AUC 0.88). Herein we propose and validate in an independent cohort of samples (n = 558) two approaches for blood samples testing: one with high sensitivity (95% NSCLC detected) and another with high specificity (94% controls detected). Our data explain how TEP-derived spliced RNAs may serve as a biomarker for minimally-invasive clinical blood tests, complement existing imaging tests, and assist the detection and management of lung cancer patients.