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Optimized selection of three major EGFR-TKIs in advanced EGFR-positive non-small cell lung cancer: a network metaanalysis

Background: To answer which epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) is the best choice for advanced non-small cell lung cancer (NSCLC) EGFR mutants. Results: 16 phase III randomized trials involving 2962 advanced NSCLC EGFR mutants were enrolled. Multiple treatment comp...

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Autores principales: Zhang, Yaxiong, Sheng, Jin, Yang, Yunpeng, Fang, Wenfeng, Kang, Shiyang, He, Yang, Hong, Shaodong, Zhan, Jianhua, Zhao, Yuanyuan, Xue, Cong, Ma, Yuxiang, Zhou, Ting, Ma, Shuxiang, Gao, Fangfang, Qin, Tao, Hu, Zhihuang, Tian, Ying, Hou, Xue, Huang, Yan, Zhou, Ningning, Zhao, Hongyun, Zhang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990517/
https://www.ncbi.nlm.nih.gov/pubmed/26933807
http://dx.doi.org/10.18632/oncotarget.7713
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author Zhang, Yaxiong
Sheng, Jin
Yang, Yunpeng
Fang, Wenfeng
Kang, Shiyang
He, Yang
Hong, Shaodong
Zhan, Jianhua
Zhao, Yuanyuan
Xue, Cong
Ma, Yuxiang
Zhou, Ting
Ma, Shuxiang
Gao, Fangfang
Qin, Tao
Hu, Zhihuang
Tian, Ying
Hou, Xue
Huang, Yan
Zhou, Ningning
Zhao, Hongyun
Zhang, Li
author_facet Zhang, Yaxiong
Sheng, Jin
Yang, Yunpeng
Fang, Wenfeng
Kang, Shiyang
He, Yang
Hong, Shaodong
Zhan, Jianhua
Zhao, Yuanyuan
Xue, Cong
Ma, Yuxiang
Zhou, Ting
Ma, Shuxiang
Gao, Fangfang
Qin, Tao
Hu, Zhihuang
Tian, Ying
Hou, Xue
Huang, Yan
Zhou, Ningning
Zhao, Hongyun
Zhang, Li
author_sort Zhang, Yaxiong
collection PubMed
description Background: To answer which epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) is the best choice for advanced non-small cell lung cancer (NSCLC) EGFR mutants. Results: 16 phase III randomized trials involving 2962 advanced NSCLC EGFR mutants were enrolled. Multiple treatment comparisons showed different EGFR-TKIs shared equivalent curative effect in terms of all outcome measures among the overall, chemo-naïve and previously treated patients. Rank probabilities showed that erlotinib and afatinib had potentially better efficacy compared with gefitinib in both of the overall and chemo-naïve patients. Potentially survival benefit of erlotinib was also observed in previously treated patients compared with gefitinib. Additionally, EGFR-TKI showed numerically greater survival benefit in 19 Del compared with chemotherapy, while it was opposite in 21 L858R. Furthermore, afatinib, erlotinib and gefitinib had high, moderate and low risk of rash & diarrhea, respectively, while the occurrence of elevated liver transaminase was more common in gefitinib. Methods: Data of objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS) and adverse events were extracted from included studies. Efficacy and toxicity of all included treatments were integrated by network meta-analyses. Conclusion: Our study indicated a high efficacy-high toxicity pattern of afatinib, a high efficacy-moderate toxicity pattern of erlotinib and a medium efficacy-moderate toxicity pattern of gefitinib. Recommended EGFR-TKI should be suggested according to patients' tolerability and therapeutic efficacy in clinical practice. Moreover, the treatment for advanced EGFR-positive NSCLC might be different between 19 Del and 21 L858R.
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spelling pubmed-49905172016-09-01 Optimized selection of three major EGFR-TKIs in advanced EGFR-positive non-small cell lung cancer: a network metaanalysis Zhang, Yaxiong Sheng, Jin Yang, Yunpeng Fang, Wenfeng Kang, Shiyang He, Yang Hong, Shaodong Zhan, Jianhua Zhao, Yuanyuan Xue, Cong Ma, Yuxiang Zhou, Ting Ma, Shuxiang Gao, Fangfang Qin, Tao Hu, Zhihuang Tian, Ying Hou, Xue Huang, Yan Zhou, Ningning Zhao, Hongyun Zhang, Li Oncotarget Research Paper Background: To answer which epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) is the best choice for advanced non-small cell lung cancer (NSCLC) EGFR mutants. Results: 16 phase III randomized trials involving 2962 advanced NSCLC EGFR mutants were enrolled. Multiple treatment comparisons showed different EGFR-TKIs shared equivalent curative effect in terms of all outcome measures among the overall, chemo-naïve and previously treated patients. Rank probabilities showed that erlotinib and afatinib had potentially better efficacy compared with gefitinib in both of the overall and chemo-naïve patients. Potentially survival benefit of erlotinib was also observed in previously treated patients compared with gefitinib. Additionally, EGFR-TKI showed numerically greater survival benefit in 19 Del compared with chemotherapy, while it was opposite in 21 L858R. Furthermore, afatinib, erlotinib and gefitinib had high, moderate and low risk of rash & diarrhea, respectively, while the occurrence of elevated liver transaminase was more common in gefitinib. Methods: Data of objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS) and adverse events were extracted from included studies. Efficacy and toxicity of all included treatments were integrated by network meta-analyses. Conclusion: Our study indicated a high efficacy-high toxicity pattern of afatinib, a high efficacy-moderate toxicity pattern of erlotinib and a medium efficacy-moderate toxicity pattern of gefitinib. Recommended EGFR-TKI should be suggested according to patients' tolerability and therapeutic efficacy in clinical practice. Moreover, the treatment for advanced EGFR-positive NSCLC might be different between 19 Del and 21 L858R. Impact Journals LLC 2016-02-25 /pmc/articles/PMC4990517/ /pubmed/26933807 http://dx.doi.org/10.18632/oncotarget.7713 Text en Copyright: © 2016 Zhang et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Zhang, Yaxiong
Sheng, Jin
Yang, Yunpeng
Fang, Wenfeng
Kang, Shiyang
He, Yang
Hong, Shaodong
Zhan, Jianhua
Zhao, Yuanyuan
Xue, Cong
Ma, Yuxiang
Zhou, Ting
Ma, Shuxiang
Gao, Fangfang
Qin, Tao
Hu, Zhihuang
Tian, Ying
Hou, Xue
Huang, Yan
Zhou, Ningning
Zhao, Hongyun
Zhang, Li
Optimized selection of three major EGFR-TKIs in advanced EGFR-positive non-small cell lung cancer: a network metaanalysis
title Optimized selection of three major EGFR-TKIs in advanced EGFR-positive non-small cell lung cancer: a network metaanalysis
title_full Optimized selection of three major EGFR-TKIs in advanced EGFR-positive non-small cell lung cancer: a network metaanalysis
title_fullStr Optimized selection of three major EGFR-TKIs in advanced EGFR-positive non-small cell lung cancer: a network metaanalysis
title_full_unstemmed Optimized selection of three major EGFR-TKIs in advanced EGFR-positive non-small cell lung cancer: a network metaanalysis
title_short Optimized selection of three major EGFR-TKIs in advanced EGFR-positive non-small cell lung cancer: a network metaanalysis
title_sort optimized selection of three major egfr-tkis in advanced egfr-positive non-small cell lung cancer: a network metaanalysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990517/
https://www.ncbi.nlm.nih.gov/pubmed/26933807
http://dx.doi.org/10.18632/oncotarget.7713
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