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Current Approaches for Predicting a Lack of Response to Anti-EGFR Therapy in KRAS Wild-Type Patients

Targeting epidermal growth factor receptor (EGFR) has been one of the most effective colorectal cancer strategies. Anti-EGFR antibodies function by binding to the extracellular domain of EGFR, preventing its activation, and ultimately providing clinical benefit. KRAS mutations in codons 12 and 13 ar...

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Autores principales: Er, Tze-Kiong, Chen, Chih-Chieh, Bujanda, Luis, Herreros-Villanueva, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086227/
https://www.ncbi.nlm.nih.gov/pubmed/25032217
http://dx.doi.org/10.1155/2014/591867
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author Er, Tze-Kiong
Chen, Chih-Chieh
Bujanda, Luis
Herreros-Villanueva, Marta
author_facet Er, Tze-Kiong
Chen, Chih-Chieh
Bujanda, Luis
Herreros-Villanueva, Marta
author_sort Er, Tze-Kiong
collection PubMed
description Targeting epidermal growth factor receptor (EGFR) has been one of the most effective colorectal cancer strategies. Anti-EGFR antibodies function by binding to the extracellular domain of EGFR, preventing its activation, and ultimately providing clinical benefit. KRAS mutations in codons 12 and 13 are recognized prognostic and predictive biomarkers that should be analyzed at the clinic prior to the administration of anti-EGFR therapy. However, still an important fraction of KRAS wild-type patients do not respond to the treatment. The identification of additional genetic determinants of primary or secondary resistance to EGFR targeted therapy for further improving the selection of patients is urgent. Herein, we review the latest published literature highlighting the most important genes that may predict resistance to anti-EGFR monoclonal antibodies in colorectal cancer patients. According to the available findings, the evaluation of BRAF, NRAS, PIK3CA, and PTEN status could be the right strategy to select patients who are likely to respond to anti-EGFR therapies. In the future, the combination of those biomarkers will help establish consensus that can be introduced into clinical practice.
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spelling pubmed-40862272014-07-16 Current Approaches for Predicting a Lack of Response to Anti-EGFR Therapy in KRAS Wild-Type Patients Er, Tze-Kiong Chen, Chih-Chieh Bujanda, Luis Herreros-Villanueva, Marta Biomed Res Int Review Article Targeting epidermal growth factor receptor (EGFR) has been one of the most effective colorectal cancer strategies. Anti-EGFR antibodies function by binding to the extracellular domain of EGFR, preventing its activation, and ultimately providing clinical benefit. KRAS mutations in codons 12 and 13 are recognized prognostic and predictive biomarkers that should be analyzed at the clinic prior to the administration of anti-EGFR therapy. However, still an important fraction of KRAS wild-type patients do not respond to the treatment. The identification of additional genetic determinants of primary or secondary resistance to EGFR targeted therapy for further improving the selection of patients is urgent. Herein, we review the latest published literature highlighting the most important genes that may predict resistance to anti-EGFR monoclonal antibodies in colorectal cancer patients. According to the available findings, the evaluation of BRAF, NRAS, PIK3CA, and PTEN status could be the right strategy to select patients who are likely to respond to anti-EGFR therapies. In the future, the combination of those biomarkers will help establish consensus that can be introduced into clinical practice. Hindawi Publishing Corporation 2014 2014-06-18 /pmc/articles/PMC4086227/ /pubmed/25032217 http://dx.doi.org/10.1155/2014/591867 Text en Copyright © 2014 Tze-Kiong Er et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Er, Tze-Kiong
Chen, Chih-Chieh
Bujanda, Luis
Herreros-Villanueva, Marta
Current Approaches for Predicting a Lack of Response to Anti-EGFR Therapy in KRAS Wild-Type Patients
title Current Approaches for Predicting a Lack of Response to Anti-EGFR Therapy in KRAS Wild-Type Patients
title_full Current Approaches for Predicting a Lack of Response to Anti-EGFR Therapy in KRAS Wild-Type Patients
title_fullStr Current Approaches for Predicting a Lack of Response to Anti-EGFR Therapy in KRAS Wild-Type Patients
title_full_unstemmed Current Approaches for Predicting a Lack of Response to Anti-EGFR Therapy in KRAS Wild-Type Patients
title_short Current Approaches for Predicting a Lack of Response to Anti-EGFR Therapy in KRAS Wild-Type Patients
title_sort current approaches for predicting a lack of response to anti-egfr therapy in kras wild-type patients
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086227/
https://www.ncbi.nlm.nih.gov/pubmed/25032217
http://dx.doi.org/10.1155/2014/591867
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