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Identification of serum biomarkers for colon cancer by proteomic analysis
Colorectal cancer (CRC) is often diagnosed at a late stage with concomitant poor prognosis. Early detection greatly improves prognosis; however, the invasive, unpleasant and inconvenient nature of current diagnostic procedures limits their applicability. No serum-based test is currently of sufficien...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2361335/ https://www.ncbi.nlm.nih.gov/pubmed/16755300 http://dx.doi.org/10.1038/sj.bjc.6603188 |
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author | Ward, D G Suggett, N Cheng, Y Wei, W Johnson, H Billingham, L J Ismail, T Wakelam, M J O Johnson, P J Martin, A |
author_facet | Ward, D G Suggett, N Cheng, Y Wei, W Johnson, H Billingham, L J Ismail, T Wakelam, M J O Johnson, P J Martin, A |
author_sort | Ward, D G |
collection | PubMed |
description | Colorectal cancer (CRC) is often diagnosed at a late stage with concomitant poor prognosis. Early detection greatly improves prognosis; however, the invasive, unpleasant and inconvenient nature of current diagnostic procedures limits their applicability. No serum-based test is currently of sufficient sensitivity or specificity for widespread use. In the best currently available blood test, carcinoembryonic antigen exhibits low sensitivity and specificity particularly in the setting of early disease. Hence, there is great need for new biomarkers for early detection of CRC. We have used surface-enhanced laser desorbtion/ionisation (SELDI) to investigate the serum proteome of 62 CRC patients and 31 noncancer subjects. We have identified proteins (complement C3a des-arg, α1-antitrypsin and transferrin) with diagnostic potential. Artificial neural networks trained using only the intensities of the SELDI peaks corresponding to identified proteins were able to classify the patients used in this study with 95% sensitivity and 91% specificity. |
format | Text |
id | pubmed-2361335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-23613352009-09-10 Identification of serum biomarkers for colon cancer by proteomic analysis Ward, D G Suggett, N Cheng, Y Wei, W Johnson, H Billingham, L J Ismail, T Wakelam, M J O Johnson, P J Martin, A Br J Cancer Molecular Diagnostics Colorectal cancer (CRC) is often diagnosed at a late stage with concomitant poor prognosis. Early detection greatly improves prognosis; however, the invasive, unpleasant and inconvenient nature of current diagnostic procedures limits their applicability. No serum-based test is currently of sufficient sensitivity or specificity for widespread use. In the best currently available blood test, carcinoembryonic antigen exhibits low sensitivity and specificity particularly in the setting of early disease. Hence, there is great need for new biomarkers for early detection of CRC. We have used surface-enhanced laser desorbtion/ionisation (SELDI) to investigate the serum proteome of 62 CRC patients and 31 noncancer subjects. We have identified proteins (complement C3a des-arg, α1-antitrypsin and transferrin) with diagnostic potential. Artificial neural networks trained using only the intensities of the SELDI peaks corresponding to identified proteins were able to classify the patients used in this study with 95% sensitivity and 91% specificity. Nature Publishing Group 2006-06-19 2006-06-06 /pmc/articles/PMC2361335/ /pubmed/16755300 http://dx.doi.org/10.1038/sj.bjc.6603188 Text en Copyright © 2006 Cancer Research UK https://creativecommons.org/licenses/by/4.0/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 https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Molecular Diagnostics Ward, D G Suggett, N Cheng, Y Wei, W Johnson, H Billingham, L J Ismail, T Wakelam, M J O Johnson, P J Martin, A Identification of serum biomarkers for colon cancer by proteomic analysis |
title | Identification of serum biomarkers for colon cancer by proteomic analysis |
title_full | Identification of serum biomarkers for colon cancer by proteomic analysis |
title_fullStr | Identification of serum biomarkers for colon cancer by proteomic analysis |
title_full_unstemmed | Identification of serum biomarkers for colon cancer by proteomic analysis |
title_short | Identification of serum biomarkers for colon cancer by proteomic analysis |
title_sort | identification of serum biomarkers for colon cancer by proteomic analysis |
topic | Molecular Diagnostics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2361335/ https://www.ncbi.nlm.nih.gov/pubmed/16755300 http://dx.doi.org/10.1038/sj.bjc.6603188 |
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