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One-Step and Real-Time Detection of microRNA-21 in Human Samples for Lung Cancer Biosensing Diagnosis

[Image: see text] The rapid diagnosis of cancer, especially in its early stages, is crucial for on-time medical treatment and for increasing the patient survival rate. Lung cancer shows the highest mortality rate and the lowest 5-year survival rate due to the late diagnosis in advanced cancer stages...

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Autores principales: Calvo-Lozano, Olalla, García-Aparicio, Pablo, Raduly, Lajos-Zsolt, Estévez, Maria Carmen, Berindan-Neagoe, Ioana, Ferracin, Manuela, Lechuga, Laura M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607850/
https://www.ncbi.nlm.nih.gov/pubmed/36219565
http://dx.doi.org/10.1021/acs.analchem.2c02895
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author Calvo-Lozano, Olalla
García-Aparicio, Pablo
Raduly, Lajos-Zsolt
Estévez, Maria Carmen
Berindan-Neagoe, Ioana
Ferracin, Manuela
Lechuga, Laura M.
author_facet Calvo-Lozano, Olalla
García-Aparicio, Pablo
Raduly, Lajos-Zsolt
Estévez, Maria Carmen
Berindan-Neagoe, Ioana
Ferracin, Manuela
Lechuga, Laura M.
author_sort Calvo-Lozano, Olalla
collection PubMed
description [Image: see text] The rapid diagnosis of cancer, especially in its early stages, is crucial for on-time medical treatment and for increasing the patient survival rate. Lung cancer shows the highest mortality rate and the lowest 5-year survival rate due to the late diagnosis in advanced cancer stages. Providing rapid and reliable diagnostic tools is a top priority to address the problem of a delayed cancer diagnosis. We introduce a nanophotonic biosensor for the direct and real-time detection in human plasma of the microRNA-21-5p biomarker related to lung cancer. The biosensor employs a silicon photonic bimodal interferometric waveguide that provides a highly sensitive detection in a label-free format. We demonstrate a very competitive detectability for direct microRNA-21-5p biomarker assays in human plasma samples (estimated LOD: 25 pM). The diagnostic capability of our biosensor was validated by analyzing 40 clinical samples from healthy individuals and lung cancer patients, previously analyzed by reverse-transcription quantitative polymerase chain reaction (qRT-PCR). We could successfully identify and quantify the levels of microRNA in a one-step assay, without the need for DNA extraction or amplification steps. The study confirmed the significance of implementing this biosensor technique compared to the benchmarking molecular analysis and showed excellent agreement with previous results employing the traditional qRT-PCR. This work opens new possibilities for the true implementation of point-of-care biosensors that enable fast, simple, and efficient early diagnosis of cancer diseases.
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spelling pubmed-96078502022-10-28 One-Step and Real-Time Detection of microRNA-21 in Human Samples for Lung Cancer Biosensing Diagnosis Calvo-Lozano, Olalla García-Aparicio, Pablo Raduly, Lajos-Zsolt Estévez, Maria Carmen Berindan-Neagoe, Ioana Ferracin, Manuela Lechuga, Laura M. Anal Chem [Image: see text] The rapid diagnosis of cancer, especially in its early stages, is crucial for on-time medical treatment and for increasing the patient survival rate. Lung cancer shows the highest mortality rate and the lowest 5-year survival rate due to the late diagnosis in advanced cancer stages. Providing rapid and reliable diagnostic tools is a top priority to address the problem of a delayed cancer diagnosis. We introduce a nanophotonic biosensor for the direct and real-time detection in human plasma of the microRNA-21-5p biomarker related to lung cancer. The biosensor employs a silicon photonic bimodal interferometric waveguide that provides a highly sensitive detection in a label-free format. We demonstrate a very competitive detectability for direct microRNA-21-5p biomarker assays in human plasma samples (estimated LOD: 25 pM). The diagnostic capability of our biosensor was validated by analyzing 40 clinical samples from healthy individuals and lung cancer patients, previously analyzed by reverse-transcription quantitative polymerase chain reaction (qRT-PCR). We could successfully identify and quantify the levels of microRNA in a one-step assay, without the need for DNA extraction or amplification steps. The study confirmed the significance of implementing this biosensor technique compared to the benchmarking molecular analysis and showed excellent agreement with previous results employing the traditional qRT-PCR. This work opens new possibilities for the true implementation of point-of-care biosensors that enable fast, simple, and efficient early diagnosis of cancer diseases. American Chemical Society 2022-10-11 2022-10-25 /pmc/articles/PMC9607850/ /pubmed/36219565 http://dx.doi.org/10.1021/acs.analchem.2c02895 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Calvo-Lozano, Olalla
García-Aparicio, Pablo
Raduly, Lajos-Zsolt
Estévez, Maria Carmen
Berindan-Neagoe, Ioana
Ferracin, Manuela
Lechuga, Laura M.
One-Step and Real-Time Detection of microRNA-21 in Human Samples for Lung Cancer Biosensing Diagnosis
title One-Step and Real-Time Detection of microRNA-21 in Human Samples for Lung Cancer Biosensing Diagnosis
title_full One-Step and Real-Time Detection of microRNA-21 in Human Samples for Lung Cancer Biosensing Diagnosis
title_fullStr One-Step and Real-Time Detection of microRNA-21 in Human Samples for Lung Cancer Biosensing Diagnosis
title_full_unstemmed One-Step and Real-Time Detection of microRNA-21 in Human Samples for Lung Cancer Biosensing Diagnosis
title_short One-Step and Real-Time Detection of microRNA-21 in Human Samples for Lung Cancer Biosensing Diagnosis
title_sort one-step and real-time detection of microrna-21 in human samples for lung cancer biosensing diagnosis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607850/
https://www.ncbi.nlm.nih.gov/pubmed/36219565
http://dx.doi.org/10.1021/acs.analchem.2c02895
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