TY - JOUR
T1 - Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management
AU - Antunes-Ferreira, Mafalda
AU - D’Ambrosi, Silvia
AU - Arkani, Mohammad
AU - Post, Edward
AU - in ‘t Veld, Sjors G. J. G.
AU - Ramaker, Jip
AU - Zwaan, Kenn
AU - Kucukguzel, Ece Demirel
AU - Wedekind, Laurine E.
AU - Griffioen, Arjan W.
AU - Oude Egbrink, Mirjam
AU - Kuijpers, Marijke J. E.
AU - van den Broek, Daan
AU - Noske, David P.
AU - Hartemink, Koen J.
AU - Sabrkhany, Siamack
AU - Bahce, Idris
AU - Sol, Nik
AU - Bogaard, Harm-Jan
AU - Koppers-Lalic, Danijela
AU - Best, Myron G.
AU - Wurdinger, Thomas
N1 - Funding Information: This study was supported financially by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 765492, and Stichting STOPHersentumoren.nl. Publisher Copyright: © 2023, The Author(s).
PY - 2023/12/1
Y1 - 2023/12/1
N2 - 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.
AB - 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.
KW - Algorithms
KW - Biomarkers, Tumor/genetics
KW - Blood Platelets/metabolism
KW - Carcinoma, Non-Small-Cell Lung/genetics
KW - Hematologic Tests
KW - Humans
KW - Lung Neoplasms/genetics
KW - RNA/metabolism
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85161377522&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/37291189
U2 - https://doi.org/10.1038/s41598-023-35818-w
DO - https://doi.org/10.1038/s41598-023-35818-w
M3 - Article
C2 - 37291189
SN - 2045-2322
VL - 13
SP - 9359
JO - Scientific reports
JF - Scientific reports
IS - 1
M1 - 9359
ER -