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Which biomarker predicts benefit from EGFR-TKI treatment for patients with lung cancer?
Subsets of patients with non-small cell lung cancer respond remarkably well to small molecule tyrosine kinase inhibitors (TKI) specific for epidermal growth factor receptor (EGFR) such as gefitinib or erlotinib. In 2004, it was found that EGFR mutations occurring in the kinase domain are strongly as...
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Formato: | Texto |
Lenguaje: | English |
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Nature Publishing Group
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2360106/ https://www.ncbi.nlm.nih.gov/pubmed/17325698 http://dx.doi.org/10.1038/sj.bjc.6603665 |
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author | Uramoto, H Mitsudomi, T |
author_facet | Uramoto, H Mitsudomi, T |
author_sort | Uramoto, H |
collection | PubMed |
description | Subsets of patients with non-small cell lung cancer respond remarkably well to small molecule tyrosine kinase inhibitors (TKI) specific for epidermal growth factor receptor (EGFR) such as gefitinib or erlotinib. In 2004, it was found that EGFR mutations occurring in the kinase domain are strongly associated with EGFR-TKI sensitivity. However, subsequent studies revealed that this relationship was not perfect and various predictive markers have been reported. These include EGFR gene copy numbers, status of ligands for EGFR, changes in other HER family genes or molecules downstream to EGFR including KRAS or AKT. In this review, we would like to review current knowledge of predictive factors for EGFR-TKI. As all but one phase III trials failed to show a survival advantage of the treatment arm involving EGFR-TKIs, it is necessary to select patients by these biomarkers in future clinical trials. Through these efforts, it would be possible to individualise EGFR-TKI treatment for patients suffering from lung cancer. |
format | Text |
id | pubmed-2360106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-23601062009-09-10 Which biomarker predicts benefit from EGFR-TKI treatment for patients with lung cancer? Uramoto, H Mitsudomi, T Br J Cancer Minireview Subsets of patients with non-small cell lung cancer respond remarkably well to small molecule tyrosine kinase inhibitors (TKI) specific for epidermal growth factor receptor (EGFR) such as gefitinib or erlotinib. In 2004, it was found that EGFR mutations occurring in the kinase domain are strongly associated with EGFR-TKI sensitivity. However, subsequent studies revealed that this relationship was not perfect and various predictive markers have been reported. These include EGFR gene copy numbers, status of ligands for EGFR, changes in other HER family genes or molecules downstream to EGFR including KRAS or AKT. In this review, we would like to review current knowledge of predictive factors for EGFR-TKI. As all but one phase III trials failed to show a survival advantage of the treatment arm involving EGFR-TKIs, it is necessary to select patients by these biomarkers in future clinical trials. Through these efforts, it would be possible to individualise EGFR-TKI treatment for patients suffering from lung cancer. Nature Publishing Group 2007-03-26 2007-02-27 /pmc/articles/PMC2360106/ /pubmed/17325698 http://dx.doi.org/10.1038/sj.bjc.6603665 Text en Copyright © 2007 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 | Minireview Uramoto, H Mitsudomi, T Which biomarker predicts benefit from EGFR-TKI treatment for patients with lung cancer? |
title | Which biomarker predicts benefit from EGFR-TKI treatment for patients with lung cancer? |
title_full | Which biomarker predicts benefit from EGFR-TKI treatment for patients with lung cancer? |
title_fullStr | Which biomarker predicts benefit from EGFR-TKI treatment for patients with lung cancer? |
title_full_unstemmed | Which biomarker predicts benefit from EGFR-TKI treatment for patients with lung cancer? |
title_short | Which biomarker predicts benefit from EGFR-TKI treatment for patients with lung cancer? |
title_sort | which biomarker predicts benefit from egfr-tki treatment for patients with lung cancer? |
topic | Minireview |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2360106/ https://www.ncbi.nlm.nih.gov/pubmed/17325698 http://dx.doi.org/10.1038/sj.bjc.6603665 |
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