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Serum proteomic study on EGFR-TKIs target treatment for patients with NSCLC
BACKGROUND: Although epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are widely used for EGFR mutated non-small-cell lung cancer (NSCLC) patients, tumor sample availability and heterogeneity of the tumor remain challenging for physicians’ selection of these patients. Here,...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3818102/ https://www.ncbi.nlm.nih.gov/pubmed/24204163 http://dx.doi.org/10.2147/OTT.S51887 |
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author | Wu, Xuan Liang, Wenhua Hou, Xue Lin, Zhong Zhao, Hongyun Huang, Yan Fang, Wenfeng Zhao, Yuanyuan Wu, Jingxun Yang, Yunpeng Xue, Chong Hu, Zhihuang Zhang, Jing Zhang, Jianwei Ma, Yuxiang Zhou, Ting Qin, Tao Zhang, Li |
author_facet | Wu, Xuan Liang, Wenhua Hou, Xue Lin, Zhong Zhao, Hongyun Huang, Yan Fang, Wenfeng Zhao, Yuanyuan Wu, Jingxun Yang, Yunpeng Xue, Chong Hu, Zhihuang Zhang, Jing Zhang, Jianwei Ma, Yuxiang Zhou, Ting Qin, Tao Zhang, Li |
author_sort | Wu, Xuan |
collection | PubMed |
description | BACKGROUND: Although epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are widely used for EGFR mutated non-small-cell lung cancer (NSCLC) patients, tumor sample availability and heterogeneity of the tumor remain challenging for physicians’ selection of these patients. Here, we developed a serum proteomic classifier based on matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) to predict the clinical outcome of patients treated with EGFR-TKIs. METHOD: A total of 68 patients were included in this study. All patients received EGFR-TKIs as second or third line treatment and blood samples were collected before treatment. Using magnetic bead assisted serum peptide capture coupled to MALDI-TOF-MS, pretreatment serum from 24 NSCLC patients was analyzed to develop a proteomic classifier (training set). In a blinded test set with 44 patients, each sample was classified into “good” or “poor” groups using this classifier. Survival analysis of each group was done based on this classification. RESULT: A 3-peptide proteomic classifier was developed from the training set. In the testing set, the classifier was able to distinguish patients of “good” or “poor” outcomes with 93% accuracy, sensitivity, and specificity. The overall survival and progression free survival of the predicted good group were found to be significantly longer than the poor group, not only in the whole population but also in certain subgroups, such as pathological adenocarcinoma and nonsmokers. With respect to the tumor samples available for EGFR mutation detection, all eight EGFR mutant tumors and three of the 12 wild type EGFR tumors were classified as good while nine of the 12 wild type EGFR tumors were classified as poor. CONCLUSION: The current study has shown that a proteomic classifier can predict the outcome of patients treated with EGFR-TKIs and may aid in patient selection in the absence of available tumor tissue. Further studies are necessary to confirm these findings. |
format | Online Article Text |
id | pubmed-3818102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-38181022013-11-07 Serum proteomic study on EGFR-TKIs target treatment for patients with NSCLC Wu, Xuan Liang, Wenhua Hou, Xue Lin, Zhong Zhao, Hongyun Huang, Yan Fang, Wenfeng Zhao, Yuanyuan Wu, Jingxun Yang, Yunpeng Xue, Chong Hu, Zhihuang Zhang, Jing Zhang, Jianwei Ma, Yuxiang Zhou, Ting Qin, Tao Zhang, Li Onco Targets Ther Original Research BACKGROUND: Although epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are widely used for EGFR mutated non-small-cell lung cancer (NSCLC) patients, tumor sample availability and heterogeneity of the tumor remain challenging for physicians’ selection of these patients. Here, we developed a serum proteomic classifier based on matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) to predict the clinical outcome of patients treated with EGFR-TKIs. METHOD: A total of 68 patients were included in this study. All patients received EGFR-TKIs as second or third line treatment and blood samples were collected before treatment. Using magnetic bead assisted serum peptide capture coupled to MALDI-TOF-MS, pretreatment serum from 24 NSCLC patients was analyzed to develop a proteomic classifier (training set). In a blinded test set with 44 patients, each sample was classified into “good” or “poor” groups using this classifier. Survival analysis of each group was done based on this classification. RESULT: A 3-peptide proteomic classifier was developed from the training set. In the testing set, the classifier was able to distinguish patients of “good” or “poor” outcomes with 93% accuracy, sensitivity, and specificity. The overall survival and progression free survival of the predicted good group were found to be significantly longer than the poor group, not only in the whole population but also in certain subgroups, such as pathological adenocarcinoma and nonsmokers. With respect to the tumor samples available for EGFR mutation detection, all eight EGFR mutant tumors and three of the 12 wild type EGFR tumors were classified as good while nine of the 12 wild type EGFR tumors were classified as poor. CONCLUSION: The current study has shown that a proteomic classifier can predict the outcome of patients treated with EGFR-TKIs and may aid in patient selection in the absence of available tumor tissue. Further studies are necessary to confirm these findings. Dove Medical Press 2013-10-21 /pmc/articles/PMC3818102/ /pubmed/24204163 http://dx.doi.org/10.2147/OTT.S51887 Text en © 2013 Wu et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Wu, Xuan Liang, Wenhua Hou, Xue Lin, Zhong Zhao, Hongyun Huang, Yan Fang, Wenfeng Zhao, Yuanyuan Wu, Jingxun Yang, Yunpeng Xue, Chong Hu, Zhihuang Zhang, Jing Zhang, Jianwei Ma, Yuxiang Zhou, Ting Qin, Tao Zhang, Li Serum proteomic study on EGFR-TKIs target treatment for patients with NSCLC |
title | Serum proteomic study on EGFR-TKIs target treatment for patients with NSCLC |
title_full | Serum proteomic study on EGFR-TKIs target treatment for patients with NSCLC |
title_fullStr | Serum proteomic study on EGFR-TKIs target treatment for patients with NSCLC |
title_full_unstemmed | Serum proteomic study on EGFR-TKIs target treatment for patients with NSCLC |
title_short | Serum proteomic study on EGFR-TKIs target treatment for patients with NSCLC |
title_sort | serum proteomic study on egfr-tkis target treatment for patients with nsclc |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3818102/ https://www.ncbi.nlm.nih.gov/pubmed/24204163 http://dx.doi.org/10.2147/OTT.S51887 |
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