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Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach
Detecting the micrometastasis is a major challenge in patients’ survival. The small volume of the biopsied tissue results in limited number of histopathological samples and might reduce the rate of accurate diagnosis even by molecular technologies. We introduce a microelectronic biochip (named Metas...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736647/ https://www.ncbi.nlm.nih.gov/pubmed/29259164 http://dx.doi.org/10.1038/s41467-017-02184-x |
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author | Nikshoar, Mohammad Saeid Khayamian, Mohammad Ali Ansaryan, Saeid Sanati, Hassan Gharooni, Milad Farahmand, Leila Rezakhanloo, Farshad Majidzadeh-A, Keivan Hoseinpour, Parisa Dadgari, Shahrzad Kiani-M, Leila Saqafi, Mohammad Gity, Masoumeh Abdolahad, Mohammad |
author_facet | Nikshoar, Mohammad Saeid Khayamian, Mohammad Ali Ansaryan, Saeid Sanati, Hassan Gharooni, Milad Farahmand, Leila Rezakhanloo, Farshad Majidzadeh-A, Keivan Hoseinpour, Parisa Dadgari, Shahrzad Kiani-M, Leila Saqafi, Mohammad Gity, Masoumeh Abdolahad, Mohammad |
author_sort | Nikshoar, Mohammad Saeid |
collection | PubMed |
description | Detecting the micrometastasis is a major challenge in patients’ survival. The small volume of the biopsied tissue results in limited number of histopathological samples and might reduce the rate of accurate diagnosis even by molecular technologies. We introduce a microelectronic biochip (named Metas-Chip) to detect the micrometastasis in unprocessed liquid or solid samples. It works based on the tendency of malignant cells to track single human umbilical vein endothelial cell (HUVEC)-sensing traps. Such cells detach themselves from the biopsied sample and invade the sensing traps by inducing membrane retraction and blebbing, which result in sharp changes in electrical response of the sensing elements. Metas-Chip identified the metastasis in more than 70 breast cancer patients, in less than 5 h. Moreover it detected the metastasis in lymph nodes of nine patients whom were missed by conventional pathological procedure. Multilevel IHC and real-time polymerase chain reaction (RT-PCR) tests confirmed the diagnosis. |
format | Online Article Text |
id | pubmed-5736647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57366472017-12-21 Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach Nikshoar, Mohammad Saeid Khayamian, Mohammad Ali Ansaryan, Saeid Sanati, Hassan Gharooni, Milad Farahmand, Leila Rezakhanloo, Farshad Majidzadeh-A, Keivan Hoseinpour, Parisa Dadgari, Shahrzad Kiani-M, Leila Saqafi, Mohammad Gity, Masoumeh Abdolahad, Mohammad Nat Commun Article Detecting the micrometastasis is a major challenge in patients’ survival. The small volume of the biopsied tissue results in limited number of histopathological samples and might reduce the rate of accurate diagnosis even by molecular technologies. We introduce a microelectronic biochip (named Metas-Chip) to detect the micrometastasis in unprocessed liquid or solid samples. It works based on the tendency of malignant cells to track single human umbilical vein endothelial cell (HUVEC)-sensing traps. Such cells detach themselves from the biopsied sample and invade the sensing traps by inducing membrane retraction and blebbing, which result in sharp changes in electrical response of the sensing elements. Metas-Chip identified the metastasis in more than 70 breast cancer patients, in less than 5 h. Moreover it detected the metastasis in lymph nodes of nine patients whom were missed by conventional pathological procedure. Multilevel IHC and real-time polymerase chain reaction (RT-PCR) tests confirmed the diagnosis. Nature Publishing Group UK 2017-12-19 /pmc/articles/PMC5736647/ /pubmed/29259164 http://dx.doi.org/10.1038/s41467-017-02184-x Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nikshoar, Mohammad Saeid Khayamian, Mohammad Ali Ansaryan, Saeid Sanati, Hassan Gharooni, Milad Farahmand, Leila Rezakhanloo, Farshad Majidzadeh-A, Keivan Hoseinpour, Parisa Dadgari, Shahrzad Kiani-M, Leila Saqafi, Mohammad Gity, Masoumeh Abdolahad, Mohammad Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach |
title | Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach |
title_full | Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach |
title_fullStr | Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach |
title_full_unstemmed | Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach |
title_short | Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach |
title_sort | metas-chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736647/ https://www.ncbi.nlm.nih.gov/pubmed/29259164 http://dx.doi.org/10.1038/s41467-017-02184-x |
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