Treatment Individualization in Colorectal Cancer
Colorectal cancer has been characterized as a genetically heterogeneous disease, with a large diversity in molecular pathogenesis resulting in differential responses to therapy. However, the currently available validated biomarkers KRAS, BRAF, and microsatellite instability do not sufficiently cover...
Main Authors: | , , , |
---|---|
Format: | Online |
Language: | English |
Published: |
Springer US
2015
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4653238/ |
id |
pubmed-4653238 |
---|---|
recordtype |
oai_dc |
spelling |
pubmed-46532382015-11-27 Treatment Individualization in Colorectal Cancer van Geel, Robin M. J. M. Beijnen, Jos H. Bernards, René Schellens, Jan H.M. Therapeutic Approaches to Metastatic Colorectal Cancers (L Vecchione, Section Editor) Colorectal cancer has been characterized as a genetically heterogeneous disease, with a large diversity in molecular pathogenesis resulting in differential responses to therapy. However, the currently available validated biomarkers KRAS, BRAF, and microsatellite instability do not sufficiently cover this extensive heterogeneity and are therefore not suitable to successfully guide personalized treatment. Recent studies have focused on novel targets and rationally designed combination strategies. Furthermore, a more comprehensive analysis of the underlying biology of the disease revealed distinct phenotypic differences within subgroups of patients harboring the same genetic driver mutation with both prognostic and predictive relevance. Accordingly, patient stratification based on molecular intrinsic subtypes rather than on single gene aberrations holds promise to improve the clinical outcome of patients with colorectal cancer. Springer US 2015-08-26 2015 /pmc/articles/PMC4653238/ /pubmed/26617477 http://dx.doi.org/10.1007/s11888-015-0288-z Text en © The Author(s) 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
van Geel, Robin M. J. M. Beijnen, Jos H. Bernards, René Schellens, Jan H.M. |
spellingShingle |
van Geel, Robin M. J. M. Beijnen, Jos H. Bernards, René Schellens, Jan H.M. Treatment Individualization in Colorectal Cancer |
author_facet |
van Geel, Robin M. J. M. Beijnen, Jos H. Bernards, René Schellens, Jan H.M. |
author_sort |
van Geel, Robin M. J. M. |
title |
Treatment Individualization in Colorectal Cancer |
title_short |
Treatment Individualization in Colorectal Cancer |
title_full |
Treatment Individualization in Colorectal Cancer |
title_fullStr |
Treatment Individualization in Colorectal Cancer |
title_full_unstemmed |
Treatment Individualization in Colorectal Cancer |
title_sort |
treatment individualization in colorectal cancer |
description |
Colorectal cancer has been characterized as a genetically heterogeneous disease, with a large diversity in molecular pathogenesis resulting in differential responses to therapy. However, the currently available validated biomarkers KRAS, BRAF, and microsatellite instability do not sufficiently cover this extensive heterogeneity and are therefore not suitable to successfully guide personalized treatment. Recent studies have focused on novel targets and rationally designed combination strategies. Furthermore, a more comprehensive analysis of the underlying biology of the disease revealed distinct phenotypic differences within subgroups of patients harboring the same genetic driver mutation with both prognostic and predictive relevance. Accordingly, patient stratification based on molecular intrinsic subtypes rather than on single gene aberrations holds promise to improve the clinical outcome of patients with colorectal cancer. |
publisher |
Springer US |
publishDate |
2015 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4653238/ |
_version_ |
1613503991050665984 |