Person: Fernández Aceñero, María Jesús
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First Name
María Jesús
Last Name
Fernández Aceñero
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Medicina
Department
Area
Anatomía Patológica
Identifiers
1 results
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Item Multiplexed monitoring of a novel autoantibody diagnostic signature of colorectal cancer using HaloTag technology-based electrochemical immunosensing platform(Theranostics, 2020) Garranzo Asensio, María; Guzmán Aránguez, Ana Isabel; Povedano, Eloy; Ruiz Valdepeñas Montiel, Víctor; Povés Francés, Carmen; Fernández Aceñero, María Jesús; Montero Calle, Ana; Solís Fernández, Guillermo; Fernández Díez, Servando; Camps, Jordi; Arenas, Meritxell; Rodríguez Tomás, Elisabeth; Joven, Jorge; Sánchez Martínez, Maricruz; Rodrígez, Nuria; Domínguez Muñóz, Gemma; Yáñez Sedeño, Paloma; Pingarrón Carrazón, José Manuel; Campuzano Ruiz, Susana; Barderas Manchado, RodrigoBackground 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.