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Blood Droplet-Based Cancer Diagnosis via Proteolytic Activity Measurement in Cancer Progression
Matrix metalloproteinase (MMP) is a key marker and target molecule for cancer diagnosis, as MMP is able to cleave peptide chains resulting in degradation of extracellular matrix (ECM), a necessary step for cancer development. In particular, MMP2 has recently been recognized as an important biomarker...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5562222/ https://www.ncbi.nlm.nih.gov/pubmed/28824722 http://dx.doi.org/10.7150/thno.19358 |
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author | Choi, Jin Woo Lee, Hyungbeen Lee, Gyudo Kim, Yi Rang Ahn, Myung-Ju Park, Heung Jae Eom, Kilho Kwon, Taeyun |
author_facet | Choi, Jin Woo Lee, Hyungbeen Lee, Gyudo Kim, Yi Rang Ahn, Myung-Ju Park, Heung Jae Eom, Kilho Kwon, Taeyun |
author_sort | Choi, Jin Woo |
collection | PubMed |
description | Matrix metalloproteinase (MMP) is a key marker and target molecule for cancer diagnosis, as MMP is able to cleave peptide chains resulting in degradation of extracellular matrix (ECM), a necessary step for cancer development. In particular, MMP2 has recently been recognized as an important biomarker for lung cancer. Despite the important role of detecting MMP molecules in cancer diagnosis, it is a daunting task to quantitatively understand a correlation between the status of cancer development and the secretion level of MMP in a blood droplet. Here, we demonstrate a nanoscale cancer diagnosis by nanomechanical quantitation of MMP2 molecules under cancer progression with using a blood droplet of lung cancer patients. Specifically, we measured the frequency dynamics of nanomechanical biosensor functionalized with peptide chains mimicking ECM in response to MMP2 secreted from tumors in lung with different metastasis level. It is shown that the frequency shift of the biosensor, which exhibits the detection sensitivity below 1 nM, enables the quantitation of the secretion level of MMP2 molecules during the progression of cancer cells or tumor growth. More importantly, using a blood droplet of lung cancer patients, nanomechanical biosensor is shown to be capable of depicting the correlation between the secretion level of MMP2 molecules and the level of cancer metastasis, which highlights the cantilever-based MMP2 detection for diagnosis of lung cancer. Our finding will broaden the understanding of cancer development activated by MMP and allow for a fast and point-of-care cancer diagnostics. |
format | Online Article Text |
id | pubmed-5562222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-55622222017-08-18 Blood Droplet-Based Cancer Diagnosis via Proteolytic Activity Measurement in Cancer Progression Choi, Jin Woo Lee, Hyungbeen Lee, Gyudo Kim, Yi Rang Ahn, Myung-Ju Park, Heung Jae Eom, Kilho Kwon, Taeyun Theranostics Research Paper Matrix metalloproteinase (MMP) is a key marker and target molecule for cancer diagnosis, as MMP is able to cleave peptide chains resulting in degradation of extracellular matrix (ECM), a necessary step for cancer development. In particular, MMP2 has recently been recognized as an important biomarker for lung cancer. Despite the important role of detecting MMP molecules in cancer diagnosis, it is a daunting task to quantitatively understand a correlation between the status of cancer development and the secretion level of MMP in a blood droplet. Here, we demonstrate a nanoscale cancer diagnosis by nanomechanical quantitation of MMP2 molecules under cancer progression with using a blood droplet of lung cancer patients. Specifically, we measured the frequency dynamics of nanomechanical biosensor functionalized with peptide chains mimicking ECM in response to MMP2 secreted from tumors in lung with different metastasis level. It is shown that the frequency shift of the biosensor, which exhibits the detection sensitivity below 1 nM, enables the quantitation of the secretion level of MMP2 molecules during the progression of cancer cells or tumor growth. More importantly, using a blood droplet of lung cancer patients, nanomechanical biosensor is shown to be capable of depicting the correlation between the secretion level of MMP2 molecules and the level of cancer metastasis, which highlights the cantilever-based MMP2 detection for diagnosis of lung cancer. Our finding will broaden the understanding of cancer development activated by MMP and allow for a fast and point-of-care cancer diagnostics. Ivyspring International Publisher 2017-07-08 /pmc/articles/PMC5562222/ /pubmed/28824722 http://dx.doi.org/10.7150/thno.19358 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Choi, Jin Woo Lee, Hyungbeen Lee, Gyudo Kim, Yi Rang Ahn, Myung-Ju Park, Heung Jae Eom, Kilho Kwon, Taeyun Blood Droplet-Based Cancer Diagnosis via Proteolytic Activity Measurement in Cancer Progression |
title | Blood Droplet-Based Cancer Diagnosis via Proteolytic Activity Measurement in Cancer Progression |
title_full | Blood Droplet-Based Cancer Diagnosis via Proteolytic Activity Measurement in Cancer Progression |
title_fullStr | Blood Droplet-Based Cancer Diagnosis via Proteolytic Activity Measurement in Cancer Progression |
title_full_unstemmed | Blood Droplet-Based Cancer Diagnosis via Proteolytic Activity Measurement in Cancer Progression |
title_short | Blood Droplet-Based Cancer Diagnosis via Proteolytic Activity Measurement in Cancer Progression |
title_sort | blood droplet-based cancer diagnosis via proteolytic activity measurement in cancer progression |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5562222/ https://www.ncbi.nlm.nih.gov/pubmed/28824722 http://dx.doi.org/10.7150/thno.19358 |
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