Repositori institucional URV
| URV's Author/s: | Arenas Prat, Meritxell / Joven Maried, Jorge |
| Author, as appears in the article.: | Garranzo-Asensio M; Guzmán-Aránguez A; Povedano E; Montiel VRV; Poves C; Fernandez-Aceñero MJ; Montero-Calle A; Solís-Fernández G; Fernandez-Diez S; Camps J; Arenas M; Rodríguez-Tomàs E; Joven J; Sanchez-Martinez M; Rodriguez N; Dominguez G; Yáñez-Sedeño P; Pingarrón JM; Campuzano S; Barderas R |
| Author's mail: | jorge.joven@urv.cat meritxell.arenas@urv.cat |
| Author identifier: | 0000-0003-2749-4541 0000-0003-0815-2570 |
| Journal publication year: | 2020 |
| Publication Type: | Journal Publications |
| ISSN: | 18387640 |
| APA: | Garranzo-Asensio M; Guzmán-Aránguez A; Povedano E; Montiel VRV; Poves C; Fernandez-Aceñero MJ; Montero-Calle A; Solís-Fernández G; Fernandez-Diez S; C (2020). Multiplexed monitoring of a novel autoantibody diagnostic signature of colorectal cancer using HaloTag technology-based electrochemical immunosensing platform. Theranostics, 10(7), 3022-3034. DOI: 10.7150/thno.42507 |
| Papper original source: | Theranostics. 10 (7): 3022-3034 |
| Abstract: | © The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. Background and Purpose: The humoral immune response in cancer patients can be used for early detection of the disease. Autoantibodies raised against tumor-associated antigens (TAAs) are promising clinical biomarkers for reliable cancer diagnosis, prognosis, and therapy monitoring. In this study, an electrochemical disposable multiplexed immunosensing platform able to integrate difficult- and easy-to-express colorectal cancer (CRC) TAAs is reported for the sensitive determination of eight CRC-specific autoantibodies. Methods: The electrochemical immunosensing approach involves the use of magnetic microcarriers (MBs) as solid supports modified with covalently immobilized HaloTag fusion proteins for the selective capture of specific autoantibodies. After magnetic capture of the modified MBs onto screen-printed carbon working electrodes, the amperometric responses measured using the hydroquinone (HQ)/H2O2 system were related to the levels of autoantibodies in plasma. Results: The biosensing platform was applied to the analysis of autoantibodies against 8 TAAs described for the first time in this work in plasma samples from healthy asymptomatic individuals (n=3), and patients with high-risk of developing CRC (n=3), and from patients already diagnosed with colorectal (n=3), lung (n=2) or breast (n=2) cancer. The developed bioplatform demonstrated an improved discrimination between CRC patients and controls (asymptomatic healthy individuals and breast and lung cancer patients) compared to an ELISA-like luminescence test. Conclusions: The proposed methodology uses a just-in-time produced protein in a simpler protocol, with low sample volume, and involves cost-effective instrumentation, which could be used in a high-throughput manner for reliable population screening to facilitate the detection of early CRC patients at affordable cost. |
| Article's DOI: | 10.7150/thno.42507 |
| Link to the original source: | https://www.thno.org/v10p3022.htm |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Medicina i Cirurgia Ciències Mèdiques Bàsiques |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Pharmacology, toxicology and pharmaceutics (miscellaneous) Medicine, research & experimental Medicine (miscellaneous) |
| Keywords: | Salsola-kali pollen Protein Panel Liquid biopsy Identification Humoral immune-response Human serum Halotag fusion proteins Electrochemical bioplatforms Early cancer detection Colorectal cancer Biosensors Biosensor Biomarker determination Antigens halotag fusion proteins electrochemical bioplatforms early cancer detection colorectal cancer biosensor |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2023-04-01 |
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