journal article·2023-10Open access

A Single‐Molecule Bioelectronic Portable Array for Early Diagnosis of Pancreatic Cancer Precursors

Enrico Genco, Francesco Modena, Lucia Sarcina, Kim Björkström, Celestino Brunetti, Mario Caironi, Mariapia Caputo, Virginia Maria Demartis, Cinzia Di Franco, Giulia Frusconi, Lena Haeberle, Piero Larizza, Maria Teresa Mancini, Ronald Österbacka, William Reeves, Gaetano Scamarcio, Cecilia Scandurra, May Wheeler, Eugenio Cantatore, Irene Esposito, Eleonora Macchia, Fabrizio Torricelli, Fabrizio Antonio Viola, Luisa Torsi

Advanced Materials· Volume 35· Issue 42

Abstract

Abstract A cohort of 47 patients is screened for pancreatic cancer precursors with a portable 96‐well bioelectronic sensing‐array for single‐molecule assay in cysts fluid and blood plasma, deployable at point‐of‐care (POC). Pancreatic cancer precursors are mucinous cysts diagnosed with a sensitivity of at most 80% by state‐of‐the‐art cytopathological molecular analyses (e.g., KRASmut DNA). Adding the simultaneous assay of proteins related to malignant transformation (e.g., MUC1 and CD55) is deemed essential to enhance diagnostic accuracy. The bioelectronic array proposed here, based on single‐molecule‐with‐a‐large‐transistor (SiMoT) technology, can assay both nucleic acids and proteins at the single‐molecule limit‐of‐identification (LOI) (1% of false‐positives and false‐negatives). It comprises an enzyme‐linked immunosorbent assay (ELISA)‐like 8 × 12‐array organic‐electronics disposable cartridge with an electrolyte‐gated organic transistor sensor array, and a reusable reader, integrating a custom Si‐IC chip, operating via software installed on a USB‐connected smart device. The cartridge is complemented by a 3D‐printed sensing gate cover plate. KRASmut, MUC1, and CD55 biomarkers either in plasma or cysts‐fluid from 5 to 6 patients at a time, are multiplexed at single‐molecule LOI in 1.5 h. The pancreatic cancer precursors are classified via a machine‐learning analysis resulting in at least 96% diagnostic‐sensitivity and 100% diagnostic‐specificity. This preliminary study opens the way to POC liquid‐biopsy‐based early diagnosis of pancreatic‐cancer precursors in plasma.
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Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Molecular Communication and Nanonetworks · Advanced Biosensing Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical Engineering Eindhoven University of Technology Eindhoven 5600 MB The Netherlands

Center for Nano Science and Technology Istituto Italiano di Tecnologia Via Rubattino 81 Milan 20134 Italy

Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Piazza Leonardo da Vinci 32 Milan 20133 Italy

Dipartimento di Chimica and Centre for Colloid and Surface Science Università degli Studi di Bari Aldo Moro Bari 20125 Italy

The Faculty of Science and Engineering Åbo Akademi University Turku 20500 Finland

Masmec Biomed – Masmec SpA division Modugno (BA) 70026 Italy

Dipartimento di Farmacia‐Scienze del Farmaco Università degli Studi di Bari “Aldo Moro” Bari 70125 Italy

Dipartimento Ingegneria dell'Informazione Università degli Studi di Brescia Brescia 25123 Italy

CNR IFN Bari 70126 Italy

Institute of Pathology Heinrich‐Heine University and University Hospital of Düsseldorf 40225 Duesseldorf Germany

FlexEnable Technology Ltd Cambridge CB4 0FX UK

Dipartimento Interateneo di Fisica Università degli Studi di Bari Aldo Moro Bari 70125 Italy

Funding

H2020 European Research Council

References (71)

Show source-provided references
1. 10.1002/med.2129310.1002/med.21293 ↗
2. 10.1007/s11684-021-0884-z10.1007/s11684-021-0884-z ↗
3. 10.1073/pnas.170496111410.1073/pnas.1704961114 ↗
4. 10.1016/S1470-2045(15)00138-210.1016/S1470-2045(15)00138-2 ↗
5. 10.1038/s41564-018-0295-310.1038/s41564-018-0295-3 ↗
6. 10.1016/j.molmed.2020.02.00110.1016/j.molmed.2020.02.001 ↗
7. 10.3389/fcvm.2020.60136410.3389/fcvm.2020.601364 ↗
8. 10.1016/j.omto.2021.12.00510.1016/j.omto.2021.12.005 ↗
9. 10.1002/ana.2495410.1002/ana.24954 ↗
10. 10.1016/j.bios.2021.11311110.1016/j.bios.2021.113111 ↗
11. 10.1016/0161-5890(71)90063-010.1016/0161-5890(71)90063-0 ↗
12. 10.1039/C3AN01835K10.1039/C3AN01835K ↗
13. 10.1007/s00216-020-02540-910.1007/s00216-020-02540-9 ↗
14. 10.1351/pac20027405083510.1351/pac200274050835 ↗
15. 10.1002/cbic.20030066210.1002/cbic.200300662 ↗
16. 10.1038/nature1024210.1038/nature10242 ↗
17. 10.1146/annurev-anchem-061516-04534010.1146/annurev-anchem-061516-045340 ↗
18. 10.1038/nbt.164110.1038/nbt.1641 ↗
19. 10.1021/nl060227d10.1021/nl060227d ↗
20. Quanterix SP‐X Imaging and Analysis SystemTM https://www.quanterix.com/instruments/the‐sp‐x‐imaging‐and‐analysis‐system/ 2021.
21. 10.1002/admt.20220191010.1002/admt.202201910 ↗
22. 10.1126/science.122582910.1126/science.1225829 ↗
23. 10.1126/scitranslmed.abc707510.1126/scitranslmed.abc7075 ↗
24. 10.1038/s41551-021-00760-710.1038/s41551-021-00760-7 ↗
25. Abbott Abbott ID NOW _Website https://www.abbott.com/IDNOW.html?CID=OUS_OK)h 2023.
26. 10.1039/D0SC06973F10.1039/D0SC06973F ↗
27. 10.1038/s41467-018-05235-z10.1038/s41467-018-05235-z ↗
28. 10.1021/acs.chemrev.1c0029010.1021/acs.chemrev.1c00290 ↗
29. 10.1007/s00216-022-04040-410.1007/s00216-022-04040-4 ↗
30. 10.1126/sciadv.abo088110.1126/sciadv.abo0881 ↗
31. 10.1002/aelm.20210030410.1002/aelm.202100304 ↗
32. 10.1021/acssensors.0c0069410.1021/acssensors.0c00694 ↗
33. 10.1021/acs.chemmater.8b0441410.1021/acs.chemmater.8b04414 ↗
34. 10.1007/s00216-019-01778-210.1007/s00216-019-01778-2 ↗
35. 10.1007/s00216-019-02319-710.1007/s00216-019-02319-7 ↗
36. 10.1002/admt.20220191010.1002/admt.202201910 ↗
37. 10.1038/s41551-021-00734-910.1038/s41551-021-00734-9 ↗
38. 10.1002/advs.20220390010.1002/advs.202203900 ↗
39. 10.1088/2058-8585/aad0cb10.1088/2058-8585/aad0cb ↗
40. 10.1088/2058-8585/abf98610.1088/2058-8585/abf986 ↗
41. 10.1038/s43586-021-00065-810.1038/s43586-021-00065-8 ↗
42. 10.1038/natrevmats.2017.8610.1038/natrevmats.2017.86 ↗
43. 10.1002/advs.20210438110.1002/advs.202104381 ↗
44. 10.1002/admi.20220182910.1002/admi.202201829 ↗
45. National CancerInstitute Surveillance Epidemiology and End Results Program https://seer.cancer.gov 2023.
46. 10.1038/nrdp.2016.2210.1038/nrdp.2016.22 ↗
47. 10.14740/wjon116610.14740/wjon1166 ↗
48. 10.1053/j.gastro.2022.03.05610.1053/j.gastro.2022.03.056 ↗
49. 10.1097/PAS.000000000000053310.1097/PAS.0000000000000533 ↗
50. 10.1111/his.1397510.1111/his.13975 ↗
51. 10.1097/PAS.000000000000053310.1097/PAS.0000000000000533 ↗
52. 10.1002/cncy.2177510.1002/cncy.21775 ↗
53. 10.1038/s41575-021-00470-010.1038/s41575-021-00470-0 ↗
54. 10.1038/s41598-021-81065-210.1038/s41598-021-81065-2 ↗
55. 10.1136/gutjnl-2018-31602710.1136/gutjnl-2018-316027 ↗
56. 10.1016/j.gie.2020.01.03810.1016/j.gie.2020.01.038 ↗
57. 10.1186/s12967-019-1829-z10.1186/s12967-019-1829-z ↗
58. 10.3390/cancers1403085010.3390/cancers14030850 ↗
59. 10.1016/j.molonc.2015.11.00610.1016/j.molonc.2015.11.006 ↗
60. 10.1053/j.semdp.2014.08.00510.1053/j.semdp.2014.08.005 ↗
61. 10.1002/jso.2331610.1002/jso.23316 ↗
62. 10.1159/00035499610.1159/000354996 ↗
63. 10.3892/ol.2014.275110.3892/ol.2014.2751 ↗
64. The SiMBiT project funded by European Union's Horizon 2020 research and innovation programme under grant agreement No.824946 https://simbit‐h2020.eu/index.php.
65. 10.1039/D0TC03342A10.1039/D0TC03342A ↗
66. 10.1109/OJSSCS.2022.321723110.1109/OJSSCS.2022.3217231 ↗
67. 10.3390/s2013367810.3390/s20133678 ↗
68. 10.1177/117693512096554210.1177/1176935120965542 ↗
69. MathWorks – MATLAB & Simulinkhttps://it.mathworks.com/?s_tid=gn_logo 2023.
70. 10.1351/pac19976902029710.1351/pac199769020297 ↗
71. G. P. R.Leardi C.Melzi Gruppodi Chemiometria CAT (Chemometric Agile Tool) freely downloadable fromhttp://gruppochemiometria.it/index.php/software 2023.