Minimally Invasive Detection of High-Risk Pancreatic Cystic Neoplasms Using a Novel Multiparametric Single-Molecule Biosensor

Funding

Olga Felda and Sandra Biskup are gratefully acknowledged for technical support. The SiMBiT Consortium (in alphabetical order): Torsten Beyna (Department of Internal Medicine, Evangelisches Krankenhaus Dusseldorf, Germany), Kim Björkström (The Faculty of Science and Engineering, Åbo Akademi University, Turku, Finland), Celestino Brunetti (Masmec Biomed - Masmec SpA division, Modugno (BA), Italy), Mario Caironi (Center for Nano Science and Technology, Istituto Italiano di Tecnologia Milan, Italy), Eugenio Cantatore (Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands), Mariapia Caputo (Dipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari, Italy), Virginia Maria Demartis (Department of Information Engineering, University of Brescia, Italy), Cinzia Di Franco (CNR IFN, Bari, Italy), Giulia Frusconi (Department of Information Engineering, University of Brescia, Italy), Enrico Genco (Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands), Wolfgang Göring (Institute of Pathology, Heinrich-Heine University and University Hospital of Dusseldorf, Germany), Ullrich Graeven, Kliniken Maria Hilf GmbH, Mönchengladbach, Germany, Ingo Greiffendorf (Kliniken Maria Hilf GmbH, Mönchengladbach, Germany), Werner Hartwig (Department of General and Visceral Surgery, Evangelisches Krankenhaus Dusseldorf, Germany), Verena Keitel (Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital of Magdeburg, Germany), Wolfram Trudo Knoefel (Department of General, Visceral and Pediatric Surgery, Heinrich Heine University and University Hospital of Dusseldorf, Germany), Piero Larizza (Masmec Biomed - Masmec SpA division, Modugno (BA), Italy), Maria Teresa Mancini (Masmec Biomed - Masmec SpA division, Modugno (BA), Italy), Francesco Modena (Center for Nano Science and Technology, Istituto Italiano di Tecnologia, Milan, Italy; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy), Ronald Österbacka (The Faculty of Science and Engineering, Åbo Akademi University, Turku, Finland), Hubert Preissinger-Heinzel (Department of General and Visceral Surgery, Evangelisches Krankenhaus Dusseldorf, Germany), William Reeves (FlexEnable Technology Ltd, Cambridge, United Kingdom), Lucia Sarcina (Dipartimento di Chimica and Centre for Colloid and Surface Science, Università degli Studi di Bari Aldo Moro, Italy), Gaetano Scamarcio (CNR, Istituto Nanoscienze c/o NEST, Scuola Normale Superiore, Pisa, Italy), Cecilia Scandurra (Dipartimento di Chimica and Centre for Colloid and Surface Science, Università degli Studi di Bari Aldo Moro, Italy), Martin Schlensog (Institute of Pathology, Heinrich-Heine University and University Hospital of Dusseldorf, Germany), Fabrizio Antonio Viola (Center for Nano Science and Technology, Istituto Italiano di Tecnologia, Milan, Italy), May Wheeler (FlexEnable Technology Ltd, Cambridge, United Kingdom), Aslihan Yavas (Institute of Pathology, Heinrich-Heine University and University Hospital of Dusseldorf, Germany). Irene Esposito and Luisa Torsi: planned and supervised the study and wrote the manuscript; Irene Esposito and Lena Haeberle: performed cytopathologic/histopathologic analyses and genetic analysis interpretation; Oliver Kuss: performed statistical analysis; Fabrizio Torricelli, Eleonora Macchia, and Luisa Torsi: performed the SiMBiT analyses; Eleonora Macchia: developed the classification algorithm and the multivariate quality control. Funding: The study was supported by: H2020 – Electronic Smart Systems – SiMBiT: Single-molecule bioelectronic smart system array for clinical testing (Grant agreement ID: 824946).