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Prognostic Value of Colorectal Cancer Biomarkers

Despite the large amount of data in cancer biology and many studies into the likely survival of colorectal cancer (CRC) patients, knowledge regarding the issue of CRC prognostic biomarkers remains poor. The Tumor-Node-Metastasis (TNM) staging system continues to be the most powerful and reliable pre...

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Autores principales: Bianchi, Paolo, Laghi, Luigi, Delconte, Gabriele, Malesci, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3757405/
https://www.ncbi.nlm.nih.gov/pubmed/24212797
http://dx.doi.org/10.3390/cancers3022080
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author Bianchi, Paolo
Laghi, Luigi
Delconte, Gabriele
Malesci, Alberto
author_facet Bianchi, Paolo
Laghi, Luigi
Delconte, Gabriele
Malesci, Alberto
author_sort Bianchi, Paolo
collection PubMed
description Despite the large amount of data in cancer biology and many studies into the likely survival of colorectal cancer (CRC) patients, knowledge regarding the issue of CRC prognostic biomarkers remains poor. The Tumor-Node-Metastasis (TNM) staging system continues to be the most powerful and reliable predictor of the clinical outcome of CRC patients. The exponential increase of knowledge in the field of molecular genetics has lead to the identification of specific alterations involved in the malignant progression. Many of these genetic alterations were proposed as biomarkers which could be used in clinical practice to estimate CRC prognosis. Recently there has been an explosive increase in the number of putative biomarkers able to predict the response to specific adjuvant treatment. In this review we explore and summarize data concerning prognostic and predictive biomarkers and we attempt to shed light on recent research that could lead to the emergence of new biomarkers in CRC.
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spelling pubmed-37574052013-09-04 Prognostic Value of Colorectal Cancer Biomarkers Bianchi, Paolo Laghi, Luigi Delconte, Gabriele Malesci, Alberto Cancers (Basel) Review Despite the large amount of data in cancer biology and many studies into the likely survival of colorectal cancer (CRC) patients, knowledge regarding the issue of CRC prognostic biomarkers remains poor. The Tumor-Node-Metastasis (TNM) staging system continues to be the most powerful and reliable predictor of the clinical outcome of CRC patients. The exponential increase of knowledge in the field of molecular genetics has lead to the identification of specific alterations involved in the malignant progression. Many of these genetic alterations were proposed as biomarkers which could be used in clinical practice to estimate CRC prognosis. Recently there has been an explosive increase in the number of putative biomarkers able to predict the response to specific adjuvant treatment. In this review we explore and summarize data concerning prognostic and predictive biomarkers and we attempt to shed light on recent research that could lead to the emergence of new biomarkers in CRC. Molecular Diversity Preservation International (MDPI) 2011-04-19 /pmc/articles/PMC3757405/ /pubmed/24212797 http://dx.doi.org/10.3390/cancers3022080 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Bianchi, Paolo
Laghi, Luigi
Delconte, Gabriele
Malesci, Alberto
Prognostic Value of Colorectal Cancer Biomarkers
title Prognostic Value of Colorectal Cancer Biomarkers
title_full Prognostic Value of Colorectal Cancer Biomarkers
title_fullStr Prognostic Value of Colorectal Cancer Biomarkers
title_full_unstemmed Prognostic Value of Colorectal Cancer Biomarkers
title_short Prognostic Value of Colorectal Cancer Biomarkers
title_sort prognostic value of colorectal cancer biomarkers
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3757405/
https://www.ncbi.nlm.nih.gov/pubmed/24212797
http://dx.doi.org/10.3390/cancers3022080
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