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Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring
The early diagnosis of cancers and continued monitoring of tumor growth would be greatly facilitated by the development of a blood-based, non-invasive, screening technique for early cancer detection. Current technologies for cancer screening and detection typically rely on imaging techniques or bloo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458912/ https://www.ncbi.nlm.nih.gov/pubmed/26052106 http://dx.doi.org/10.1038/srep11034 |
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author | Schubert, Stephanie M. Arendt, Lisa M. Zhou, Wenhui Baig, Shazia Walter, Stephanie R. Buchsbaum, Rachel J. Kuperwasser, Charlotte Walt, David R. |
author_facet | Schubert, Stephanie M. Arendt, Lisa M. Zhou, Wenhui Baig, Shazia Walter, Stephanie R. Buchsbaum, Rachel J. Kuperwasser, Charlotte Walt, David R. |
author_sort | Schubert, Stephanie M. |
collection | PubMed |
description | The early diagnosis of cancers and continued monitoring of tumor growth would be greatly facilitated by the development of a blood-based, non-invasive, screening technique for early cancer detection. Current technologies for cancer screening and detection typically rely on imaging techniques or blood tests that are not accurate or sensitive enough to definitively diagnose cancer at its earliest stages or predict biologic outcomes. By utilizing Single Molecule Arrays (SiMoA), an ultra-sensitive enzyme-linked immunosorbent assay (ELISA) technique, we were able to measure increasing levels of prostate specific antigen (PSA) within murine serum over time, which we attribute to tumor development. The measured concentrations of PSA were well below the detectable limits of both a leading clinical diagnostic PSA ELISA assay as well as a commercial ultra-sensitive PSA assay. Our work benchmarks the role of SiMoA as a vital tool in monitoring previously non-detectable protein biomarkers in serum for early cancer detection and offers significant potential as a non-invasive platform for the monitoring of early stage cancer. |
format | Online Article Text |
id | pubmed-4458912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44589122015-06-17 Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring Schubert, Stephanie M. Arendt, Lisa M. Zhou, Wenhui Baig, Shazia Walter, Stephanie R. Buchsbaum, Rachel J. Kuperwasser, Charlotte Walt, David R. Sci Rep Article The early diagnosis of cancers and continued monitoring of tumor growth would be greatly facilitated by the development of a blood-based, non-invasive, screening technique for early cancer detection. Current technologies for cancer screening and detection typically rely on imaging techniques or blood tests that are not accurate or sensitive enough to definitively diagnose cancer at its earliest stages or predict biologic outcomes. By utilizing Single Molecule Arrays (SiMoA), an ultra-sensitive enzyme-linked immunosorbent assay (ELISA) technique, we were able to measure increasing levels of prostate specific antigen (PSA) within murine serum over time, which we attribute to tumor development. The measured concentrations of PSA were well below the detectable limits of both a leading clinical diagnostic PSA ELISA assay as well as a commercial ultra-sensitive PSA assay. Our work benchmarks the role of SiMoA as a vital tool in monitoring previously non-detectable protein biomarkers in serum for early cancer detection and offers significant potential as a non-invasive platform for the monitoring of early stage cancer. Nature Publishing Group 2015-06-08 /pmc/articles/PMC4458912/ /pubmed/26052106 http://dx.doi.org/10.1038/srep11034 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Schubert, Stephanie M. Arendt, Lisa M. Zhou, Wenhui Baig, Shazia Walter, Stephanie R. Buchsbaum, Rachel J. Kuperwasser, Charlotte Walt, David R. Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring |
title | Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring |
title_full | Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring |
title_fullStr | Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring |
title_full_unstemmed | Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring |
title_short | Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring |
title_sort | ultra-sensitive protein detection via single molecule arrays towards early stage cancer monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458912/ https://www.ncbi.nlm.nih.gov/pubmed/26052106 http://dx.doi.org/10.1038/srep11034 |
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