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Detection of breast cancer cells using targeted magnetic nanoparticles and ultra-sensitive magnetic field sensors

INTRODUCTION: Breast cancer detection using mammography has improved clinical outcomes for many women, because mammography can detect very small (5 mm) tumors early in the course of the disease. However, mammography fails to detect 10 - 25% of tumors, and the results do not distinguish benign and ma...

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Autores principales: Hathaway, Helen J, Butler, Kimberly S, Adolphi, Natalie L, Lovato, Debbie M, Belfon, Robert, Fegan, Danielle, Monson, Todd C, Trujillo, Jason E, Tessier, Trace E, Bryant, Howard C, Huber, Dale L, Larson, Richard S, Flynn, Edward R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262221/
https://www.ncbi.nlm.nih.gov/pubmed/22035507
http://dx.doi.org/10.1186/bcr3050
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author Hathaway, Helen J
Butler, Kimberly S
Adolphi, Natalie L
Lovato, Debbie M
Belfon, Robert
Fegan, Danielle
Monson, Todd C
Trujillo, Jason E
Tessier, Trace E
Bryant, Howard C
Huber, Dale L
Larson, Richard S
Flynn, Edward R
author_facet Hathaway, Helen J
Butler, Kimberly S
Adolphi, Natalie L
Lovato, Debbie M
Belfon, Robert
Fegan, Danielle
Monson, Todd C
Trujillo, Jason E
Tessier, Trace E
Bryant, Howard C
Huber, Dale L
Larson, Richard S
Flynn, Edward R
author_sort Hathaway, Helen J
collection PubMed
description INTRODUCTION: Breast cancer detection using mammography has improved clinical outcomes for many women, because mammography can detect very small (5 mm) tumors early in the course of the disease. However, mammography fails to detect 10 - 25% of tumors, and the results do not distinguish benign and malignant tumors. Reducing the false positive rate, even by a modest 10%, while improving the sensitivity, will lead to improved screening, and is a desirable and attainable goal. The emerging application of magnetic relaxometry, in particular using superconducting quantum interference device (SQUID) sensors, is fast and potentially more specific than mammography because it is designed to detect tumor-targeted iron oxide magnetic nanoparticles. Furthermore, magnetic relaxometry is theoretically more specific than MRI detection, because only target-bound nanoparticles are detected. Our group is developing antibody-conjugated magnetic nanoparticles targeted to breast cancer cells that can be detected using magnetic relaxometry. METHODS: To accomplish this, we identified a series of breast cancer cell lines expressing varying levels of the plasma membrane-expressed human epidermal growth factor-like receptor 2 (Her2) by flow cytometry. Anti-Her2 antibody was then conjugated to superparamagnetic iron oxide nanoparticles using the carbodiimide method. Labeled nanoparticles were incubated with breast cancer cell lines and visualized by confocal microscopy, Prussian blue histochemistry, and magnetic relaxometry. RESULTS: We demonstrated a time- and antigen concentration-dependent increase in the number of antibody-conjugated nanoparticles bound to cells. Next, anti Her2-conjugated nanoparticles injected into highly Her2-expressing tumor xenograft explants yielded a significantly higher SQUID relaxometry signal relative to unconjugated nanoparticles. Finally, labeled cells introduced into breast phantoms were measured by magnetic relaxometry, and as few as 1 million labeled cells were detected at a distance of 4.5 cm using our early prototype system. CONCLUSIONS: These results suggest that the antibody-conjugated magnetic nanoparticles are promising reagents to apply to in vivo breast tumor cell detection, and that SQUID-detected magnetic relaxometry is a viable, rapid, and highly sensitive method for in vitro nanoparticle development and eventual in vivo tumor detection.
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spelling pubmed-32622212012-01-20 Detection of breast cancer cells using targeted magnetic nanoparticles and ultra-sensitive magnetic field sensors Hathaway, Helen J Butler, Kimberly S Adolphi, Natalie L Lovato, Debbie M Belfon, Robert Fegan, Danielle Monson, Todd C Trujillo, Jason E Tessier, Trace E Bryant, Howard C Huber, Dale L Larson, Richard S Flynn, Edward R Breast Cancer Res Research Article INTRODUCTION: Breast cancer detection using mammography has improved clinical outcomes for many women, because mammography can detect very small (5 mm) tumors early in the course of the disease. However, mammography fails to detect 10 - 25% of tumors, and the results do not distinguish benign and malignant tumors. Reducing the false positive rate, even by a modest 10%, while improving the sensitivity, will lead to improved screening, and is a desirable and attainable goal. The emerging application of magnetic relaxometry, in particular using superconducting quantum interference device (SQUID) sensors, is fast and potentially more specific than mammography because it is designed to detect tumor-targeted iron oxide magnetic nanoparticles. Furthermore, magnetic relaxometry is theoretically more specific than MRI detection, because only target-bound nanoparticles are detected. Our group is developing antibody-conjugated magnetic nanoparticles targeted to breast cancer cells that can be detected using magnetic relaxometry. METHODS: To accomplish this, we identified a series of breast cancer cell lines expressing varying levels of the plasma membrane-expressed human epidermal growth factor-like receptor 2 (Her2) by flow cytometry. Anti-Her2 antibody was then conjugated to superparamagnetic iron oxide nanoparticles using the carbodiimide method. Labeled nanoparticles were incubated with breast cancer cell lines and visualized by confocal microscopy, Prussian blue histochemistry, and magnetic relaxometry. RESULTS: We demonstrated a time- and antigen concentration-dependent increase in the number of antibody-conjugated nanoparticles bound to cells. Next, anti Her2-conjugated nanoparticles injected into highly Her2-expressing tumor xenograft explants yielded a significantly higher SQUID relaxometry signal relative to unconjugated nanoparticles. Finally, labeled cells introduced into breast phantoms were measured by magnetic relaxometry, and as few as 1 million labeled cells were detected at a distance of 4.5 cm using our early prototype system. CONCLUSIONS: These results suggest that the antibody-conjugated magnetic nanoparticles are promising reagents to apply to in vivo breast tumor cell detection, and that SQUID-detected magnetic relaxometry is a viable, rapid, and highly sensitive method for in vitro nanoparticle development and eventual in vivo tumor detection. BioMed Central 2011 2011-11-03 /pmc/articles/PMC3262221/ /pubmed/22035507 http://dx.doi.org/10.1186/bcr3050 Text en Copyright ©2011 Hathaway et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hathaway, Helen J
Butler, Kimberly S
Adolphi, Natalie L
Lovato, Debbie M
Belfon, Robert
Fegan, Danielle
Monson, Todd C
Trujillo, Jason E
Tessier, Trace E
Bryant, Howard C
Huber, Dale L
Larson, Richard S
Flynn, Edward R
Detection of breast cancer cells using targeted magnetic nanoparticles and ultra-sensitive magnetic field sensors
title Detection of breast cancer cells using targeted magnetic nanoparticles and ultra-sensitive magnetic field sensors
title_full Detection of breast cancer cells using targeted magnetic nanoparticles and ultra-sensitive magnetic field sensors
title_fullStr Detection of breast cancer cells using targeted magnetic nanoparticles and ultra-sensitive magnetic field sensors
title_full_unstemmed Detection of breast cancer cells using targeted magnetic nanoparticles and ultra-sensitive magnetic field sensors
title_short Detection of breast cancer cells using targeted magnetic nanoparticles and ultra-sensitive magnetic field sensors
title_sort detection of breast cancer cells using targeted magnetic nanoparticles and ultra-sensitive magnetic field sensors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262221/
https://www.ncbi.nlm.nih.gov/pubmed/22035507
http://dx.doi.org/10.1186/bcr3050
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