MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient’s Blood at Three Years Follow-Up, and Gender Correlation

Colorectal cancer represents 10% of all the annual tumors diagnosed worldwide, being often not timely diagnosed, because its symptoms are typically lacking or very mild. Therefore, it is crucial to develop and validate innovative low-invasive techniques to detect it before becoming intractable. To t...

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Main Authors: Michele Astolfi, Giulia Zonta, Cesare Malagù, Gabriele Anania, Giorgio Rispoli
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Biosensors
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Online Access:https://www.mdpi.com/2079-6374/15/1/56
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author Michele Astolfi
Giulia Zonta
Cesare Malagù
Gabriele Anania
Giorgio Rispoli
author_facet Michele Astolfi
Giulia Zonta
Cesare Malagù
Gabriele Anania
Giorgio Rispoli
author_sort Michele Astolfi
collection DOAJ
description Colorectal cancer represents 10% of all the annual tumors diagnosed worldwide, being often not timely diagnosed, because its symptoms are typically lacking or very mild. Therefore, it is crucial to develop and validate innovative low-invasive techniques to detect it before becoming intractable. To this aim, a device equipped with nanostructured gas sensors has been employed to detect the airborne molecules of blood samples collected from healthy subjects, and from colorectal cancer affected patients at different stages of their pre- and post-surgery therapeutic path. Data was scrutinized by using statistical standard techniques to highlight their statistical differences, and through principal component analysis and support vector machine to classify them. The device was able to readily distinguish between the pre-surgery blood samples (i.e., taken when the patient had cancer), and the ones up to three years post-surgery (i.e., following the tumor removal) or the ones from healthy subjects. Finally, the correlation of the sensor responses with the patient/healthy subject’s gender was investigated, resulting negligible. These results pave the path toward a clinical validation of this device to monitor the patient’s health status by detecting possible relapses, to parallel to clinical follow-up protocols.
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institution Kabale University
issn 2079-6374
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publishDate 2025-01-01
publisher MDPI AG
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series Biosensors
spelling doaj-art-ea994cea477e4d6ba3dae8f6e7a3e40f2025-01-24T13:25:35ZengMDPI AGBiosensors2079-63742025-01-011515610.3390/bios15010056MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient’s Blood at Three Years Follow-Up, and Gender CorrelationMichele Astolfi0Giulia Zonta1Cesare Malagù2Gabriele Anania3Giorgio Rispoli4Department of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, ItalySCENT S.r.l., Via Quadrifoglio 11, 44124 Ferrara, ItalySCENT S.r.l., Via Quadrifoglio 11, 44124 Ferrara, ItalyDepartment of Medical Sciences, University of Ferrara, 44121 Ferrara, ItalyDepartment of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, ItalyColorectal cancer represents 10% of all the annual tumors diagnosed worldwide, being often not timely diagnosed, because its symptoms are typically lacking or very mild. Therefore, it is crucial to develop and validate innovative low-invasive techniques to detect it before becoming intractable. To this aim, a device equipped with nanostructured gas sensors has been employed to detect the airborne molecules of blood samples collected from healthy subjects, and from colorectal cancer affected patients at different stages of their pre- and post-surgery therapeutic path. Data was scrutinized by using statistical standard techniques to highlight their statistical differences, and through principal component analysis and support vector machine to classify them. The device was able to readily distinguish between the pre-surgery blood samples (i.e., taken when the patient had cancer), and the ones up to three years post-surgery (i.e., following the tumor removal) or the ones from healthy subjects. Finally, the correlation of the sensor responses with the patient/healthy subject’s gender was investigated, resulting negligible. These results pave the path toward a clinical validation of this device to monitor the patient’s health status by detecting possible relapses, to parallel to clinical follow-up protocols.https://www.mdpi.com/2079-6374/15/1/56chemoresistivitygas sensornanotechnologyVOCsbloodcolorectal cancer
spellingShingle Michele Astolfi
Giulia Zonta
Cesare Malagù
Gabriele Anania
Giorgio Rispoli
MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient’s Blood at Three Years Follow-Up, and Gender Correlation
Biosensors
chemoresistivity
gas sensor
nanotechnology
VOCs
blood
colorectal cancer
title MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient’s Blood at Three Years Follow-Up, and Gender Correlation
title_full MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient’s Blood at Three Years Follow-Up, and Gender Correlation
title_fullStr MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient’s Blood at Three Years Follow-Up, and Gender Correlation
title_full_unstemmed MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient’s Blood at Three Years Follow-Up, and Gender Correlation
title_short MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient’s Blood at Three Years Follow-Up, and Gender Correlation
title_sort mox nanosensors to detect colorectal cancer relapses from patient s blood at three years follow up and gender correlation
topic chemoresistivity
gas sensor
nanotechnology
VOCs
blood
colorectal cancer
url https://www.mdpi.com/2079-6374/15/1/56
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AT giuliazonta moxnanosensorstodetectcolorectalcancerrelapsesfrompatientsbloodatthreeyearsfollowupandgendercorrelation
AT cesaremalagu moxnanosensorstodetectcolorectalcancerrelapsesfrompatientsbloodatthreeyearsfollowupandgendercorrelation
AT gabrieleanania moxnanosensorstodetectcolorectalcancerrelapsesfrompatientsbloodatthreeyearsfollowupandgendercorrelation
AT giorgiorispoli moxnanosensorstodetectcolorectalcancerrelapsesfrompatientsbloodatthreeyearsfollowupandgendercorrelation