Cargando…

“Silicon-On-Insulator”-Based Biosensor for the Detection of MicroRNA Markers of Ovarian Cancer

Ovarian cancer is a gynecological cancer characterized by a high mortality rate and tumor heterogeneity. Its early detection and primary prophylaxis are difficult to perform. Detecting biomarkers for ovarian cancer plays a pivotal role in therapy effectiveness and affects patients’ survival. This st...

Descripción completa

Detalles Bibliográficos
Autores principales: Ivanov, Yuri D., Kapustina, Svetlana I., Malsagova, Kristina A., Goldaeva, Kristina V., Pleshakova, Tatyana O., Galiullin, Rafael A., Shumov, Ivan D., Kozlov, Andrey F., Glukhov, Alexander V., Grabezhova, Victoria K., Popov, Vladimir P., Petrov, Oleg F., Ziborov, Vadim S., Kushlinskii, Nikolay E., Alferov, Alexander A., Konev, Vladimir A., Kovalev, Oleg B., Uchaikin, Vasiliy F., Archakov, Alexander I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861449/
https://www.ncbi.nlm.nih.gov/pubmed/36677130
http://dx.doi.org/10.3390/mi14010070
_version_ 1784874844322529280
author Ivanov, Yuri D.
Kapustina, Svetlana I.
Malsagova, Kristina A.
Goldaeva, Kristina V.
Pleshakova, Tatyana O.
Galiullin, Rafael A.
Shumov, Ivan D.
Kozlov, Andrey F.
Glukhov, Alexander V.
Grabezhova, Victoria K.
Popov, Vladimir P.
Petrov, Oleg F.
Ziborov, Vadim S.
Kushlinskii, Nikolay E.
Alferov, Alexander A.
Konev, Vladimir A.
Kovalev, Oleg B.
Uchaikin, Vasiliy F.
Archakov, Alexander I.
author_facet Ivanov, Yuri D.
Kapustina, Svetlana I.
Malsagova, Kristina A.
Goldaeva, Kristina V.
Pleshakova, Tatyana O.
Galiullin, Rafael A.
Shumov, Ivan D.
Kozlov, Andrey F.
Glukhov, Alexander V.
Grabezhova, Victoria K.
Popov, Vladimir P.
Petrov, Oleg F.
Ziborov, Vadim S.
Kushlinskii, Nikolay E.
Alferov, Alexander A.
Konev, Vladimir A.
Kovalev, Oleg B.
Uchaikin, Vasiliy F.
Archakov, Alexander I.
author_sort Ivanov, Yuri D.
collection PubMed
description Ovarian cancer is a gynecological cancer characterized by a high mortality rate and tumor heterogeneity. Its early detection and primary prophylaxis are difficult to perform. Detecting biomarkers for ovarian cancer plays a pivotal role in therapy effectiveness and affects patients’ survival. This study demonstrates the detection of microRNAs (miRNAs), which were reported to be associated with ovarian cancer tumorigenesis, with a nanowire biosensor based on silicon-on-insulator structures (SOI-NW biosensor). The advantages of the method proposed for miRNA detection using the SOI-NW biosensor are as follows: (1) no need for additional labeling or amplification reaction during sample preparation, and (2) real-time detection of target biomolecules. The detecting component of the biosensor is a chip with an array of 3 µm wide, 10 µm long silicon nanowires on its surface. The SOI-NW chip was fabricated using the “top-down” method, which is compatible with large-scale CMOS technology. Oligonucleotide probes (oDNA probes) carrying sequences complementary to the target miRNAs were covalently immobilized on the nanowire surface to ensure high-sensitivity biospecific sensing of the target biomolecules. The study involved two experimental series. Detection of model DNA oligonucleotides being synthetic analogs of the target miRNAs was carried out to assess the method’s sensitivity. The lowest concentration of the target oligonucleotides detectable in buffer solution was 1.1 × 10(−16) M. In the second experimental series, detection of miRNAs (miRNA-21, miRNA-141, and miRNA-200a) isolated from blood plasma samples collected from patients having a verified diagnosis of ovarian cancer was performed. The results of our present study represent a step towards the development of novel highly sensitive diagnostic systems for the early revelation of ovarian cancer in women.
format Online
Article
Text
id pubmed-9861449
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98614492023-01-22 “Silicon-On-Insulator”-Based Biosensor for the Detection of MicroRNA Markers of Ovarian Cancer Ivanov, Yuri D. Kapustina, Svetlana I. Malsagova, Kristina A. Goldaeva, Kristina V. Pleshakova, Tatyana O. Galiullin, Rafael A. Shumov, Ivan D. Kozlov, Andrey F. Glukhov, Alexander V. Grabezhova, Victoria K. Popov, Vladimir P. Petrov, Oleg F. Ziborov, Vadim S. Kushlinskii, Nikolay E. Alferov, Alexander A. Konev, Vladimir A. Kovalev, Oleg B. Uchaikin, Vasiliy F. Archakov, Alexander I. Micromachines (Basel) Article Ovarian cancer is a gynecological cancer characterized by a high mortality rate and tumor heterogeneity. Its early detection and primary prophylaxis are difficult to perform. Detecting biomarkers for ovarian cancer plays a pivotal role in therapy effectiveness and affects patients’ survival. This study demonstrates the detection of microRNAs (miRNAs), which were reported to be associated with ovarian cancer tumorigenesis, with a nanowire biosensor based on silicon-on-insulator structures (SOI-NW biosensor). The advantages of the method proposed for miRNA detection using the SOI-NW biosensor are as follows: (1) no need for additional labeling or amplification reaction during sample preparation, and (2) real-time detection of target biomolecules. The detecting component of the biosensor is a chip with an array of 3 µm wide, 10 µm long silicon nanowires on its surface. The SOI-NW chip was fabricated using the “top-down” method, which is compatible with large-scale CMOS technology. Oligonucleotide probes (oDNA probes) carrying sequences complementary to the target miRNAs were covalently immobilized on the nanowire surface to ensure high-sensitivity biospecific sensing of the target biomolecules. The study involved two experimental series. Detection of model DNA oligonucleotides being synthetic analogs of the target miRNAs was carried out to assess the method’s sensitivity. The lowest concentration of the target oligonucleotides detectable in buffer solution was 1.1 × 10(−16) M. In the second experimental series, detection of miRNAs (miRNA-21, miRNA-141, and miRNA-200a) isolated from blood plasma samples collected from patients having a verified diagnosis of ovarian cancer was performed. The results of our present study represent a step towards the development of novel highly sensitive diagnostic systems for the early revelation of ovarian cancer in women. MDPI 2022-12-27 /pmc/articles/PMC9861449/ /pubmed/36677130 http://dx.doi.org/10.3390/mi14010070 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ivanov, Yuri D.
Kapustina, Svetlana I.
Malsagova, Kristina A.
Goldaeva, Kristina V.
Pleshakova, Tatyana O.
Galiullin, Rafael A.
Shumov, Ivan D.
Kozlov, Andrey F.
Glukhov, Alexander V.
Grabezhova, Victoria K.
Popov, Vladimir P.
Petrov, Oleg F.
Ziborov, Vadim S.
Kushlinskii, Nikolay E.
Alferov, Alexander A.
Konev, Vladimir A.
Kovalev, Oleg B.
Uchaikin, Vasiliy F.
Archakov, Alexander I.
“Silicon-On-Insulator”-Based Biosensor for the Detection of MicroRNA Markers of Ovarian Cancer
title “Silicon-On-Insulator”-Based Biosensor for the Detection of MicroRNA Markers of Ovarian Cancer
title_full “Silicon-On-Insulator”-Based Biosensor for the Detection of MicroRNA Markers of Ovarian Cancer
title_fullStr “Silicon-On-Insulator”-Based Biosensor for the Detection of MicroRNA Markers of Ovarian Cancer
title_full_unstemmed “Silicon-On-Insulator”-Based Biosensor for the Detection of MicroRNA Markers of Ovarian Cancer
title_short “Silicon-On-Insulator”-Based Biosensor for the Detection of MicroRNA Markers of Ovarian Cancer
title_sort “silicon-on-insulator”-based biosensor for the detection of microrna markers of ovarian cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861449/
https://www.ncbi.nlm.nih.gov/pubmed/36677130
http://dx.doi.org/10.3390/mi14010070
work_keys_str_mv AT ivanovyurid silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT kapustinasvetlanai silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT malsagovakristinaa silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT goldaevakristinav silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT pleshakovatatyanao silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT galiullinrafaela silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT shumovivand silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT kozlovandreyf silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT glukhovalexanderv silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT grabezhovavictoriak silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT popovvladimirp silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT petrovolegf silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT ziborovvadims silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT kushlinskiinikolaye silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT alferovalexandera silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT konevvladimira silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT kovalevolegb silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT uchaikinvasiliyf silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer
AT archakovalexanderi silicononinsulatorbasedbiosensorforthedetectionofmicrornamarkersofovariancancer