Ontology highlight
ABSTRACT:
SUBMITTER: Best MG
PROVIDER: S-EPMC6381325 | biostudies-literature | 2017 Aug
REPOSITORIES: biostudies-literature
Best Myron G MG Sol Nik N In 't Veld Sjors G J G SGJG Vancura Adrienne A Muller Mirte M Niemeijer Anna-Larissa N AN Fejes Aniko V AV Tjon Kon Fat Lee-Ann LA Huis In 't Veld Anna E AE Leurs Cyra C Le Large Tessa Y TY Meijer Laura L LL Kooi Irsan E IE Rustenburg François F Schellen Pepijn P Verschueren Heleen H Post Edward E Wedekind Laurine E LE Bracht Jillian J Esenkbrink Michelle M Wils Leon L Favaro Francesca F Schoonhoven Jilian D JD Tannous Jihane J Meijers-Heijboer Hanne H Kazemier Geert G Giovannetti Elisa E Reijneveld Jaap C JC Idema Sander S Killestein Joep J Heger Michal M de Jager Saskia C SC Urbanus Rolf T RT Hoefer Imo E IE Pasterkamp Gerard G Mannhalter Christine C Gomez-Arroyo Jose J Bogaard Harm-Jan HJ Noske David P DP Vandertop W Peter WP van den Broek Daan D Ylstra Bauke B Nilsson R Jonas A RJA Wesseling Pieter P Karachaliou Niki N Rosell Rafael R Lee-Lewandrowski Elizabeth E Lewandrowski Kent B KB Tannous Bakhos A BA de Langen Adrianus J AJ Smit Egbert F EF van den Heuvel Michel M MM Wurdinger Thomas T
Cancer cell 20170801 2
Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promising biomarker sources for non-invasive detection of cancer. Here we demonstrate that particle-swarm optimization (PSO)-enhanced algorithms enable efficient selection of RNA biomarker panels from platelet RNA-sequencing libraries (n = 779). This resulted in accurate TEP-based detection of early- and late-stage non-small-cell lung cancer (n = 518 late-stage validation cohort, accuracy, 88%; AUC, 0.9 ...[more]