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Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance
The progressive elucidation of the molecular pathogenesis of cancer has fueled the rational development of targeted drugs for patient populations stratified by genetic characteristics. Here we discuss general challenges relating to molecular diagnostics and describe predictive biomarkers for persona...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3577635/ https://www.ncbi.nlm.nih.gov/pubmed/23361103 http://dx.doi.org/10.1038/clpt.2012.237 |
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author | Gonzalez de Castro, D Clarke, P A Al-Lazikani, B Workman, P |
author_facet | Gonzalez de Castro, D Clarke, P A Al-Lazikani, B Workman, P |
author_sort | Gonzalez de Castro, D |
collection | PubMed |
description | The progressive elucidation of the molecular pathogenesis of cancer has fueled the rational development of targeted drugs for patient populations stratified by genetic characteristics. Here we discuss general challenges relating to molecular diagnostics and describe predictive biomarkers for personalized cancer medicine. We also highlight resistance mechanisms for epidermal growth factor receptor (EGFR) kinase inhibitors in lung cancer. We envisage a future requiring the use of longitudinal genome sequencing and other omics technologies alongside combinatorial treatment to overcome cellular and molecular heterogeneity and prevent resistance caused by clonal evolution. |
format | Online Article Text |
id | pubmed-3577635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-35776352013-03-01 Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance Gonzalez de Castro, D Clarke, P A Al-Lazikani, B Workman, P Clin Pharmacol Ther Review The progressive elucidation of the molecular pathogenesis of cancer has fueled the rational development of targeted drugs for patient populations stratified by genetic characteristics. Here we discuss general challenges relating to molecular diagnostics and describe predictive biomarkers for personalized cancer medicine. We also highlight resistance mechanisms for epidermal growth factor receptor (EGFR) kinase inhibitors in lung cancer. We envisage a future requiring the use of longitudinal genome sequencing and other omics technologies alongside combinatorial treatment to overcome cellular and molecular heterogeneity and prevent resistance caused by clonal evolution. Nature Publishing Group 2013-03 2013-01-30 /pmc/articles/PMC3577635/ /pubmed/23361103 http://dx.doi.org/10.1038/clpt.2012.237 Text en Copyright © 2013 American Society of Clinical Pharmacology and Therapeutics http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Review Gonzalez de Castro, D Clarke, P A Al-Lazikani, B Workman, P Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance |
title | Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance |
title_full | Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance |
title_fullStr | Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance |
title_full_unstemmed | Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance |
title_short | Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance |
title_sort | personalized cancer medicine: molecular diagnostics, predictive biomarkers, and drug resistance |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3577635/ https://www.ncbi.nlm.nih.gov/pubmed/23361103 http://dx.doi.org/10.1038/clpt.2012.237 |
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