Cargando…
Plasma EGFR mutation abundance affects clinical response to first-line EGFR-TKIs in patients with advanced non-small cell lung cancer
BACKGROUND: Activated epidermal growth factor receptor (EGFR) mutation is the main pathogenic cause of non-small cell lung cancer (NSCLC) in Asia. However, the impact of plasma EGFR mutation abundance, especially of the ultra-low abundance of EGFR mutation detected by highly sensitive techniques on...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106032/ https://www.ncbi.nlm.nih.gov/pubmed/33987333 http://dx.doi.org/10.21037/atm-20-7155 |
_version_ | 1783689699504685056 |
---|---|
author | Wang, Xiaohong Liu, Yonggang Meng, Zhiying Wu, Yun Wang, Shubin Jin, Gaowa Qin, Yingchun Wang, Fengyun Wang, Jing Zhou, Haifei Su, Xiaoxing Fu, Xiuhua Wang, Xiaolan Shi, Xiaoyu Wen, Zhenping Jia, Xiaoqiong Qin, Qiong Gao, Yongqiang Guo, Weidong Lu, Shun |
author_facet | Wang, Xiaohong Liu, Yonggang Meng, Zhiying Wu, Yun Wang, Shubin Jin, Gaowa Qin, Yingchun Wang, Fengyun Wang, Jing Zhou, Haifei Su, Xiaoxing Fu, Xiuhua Wang, Xiaolan Shi, Xiaoyu Wen, Zhenping Jia, Xiaoqiong Qin, Qiong Gao, Yongqiang Guo, Weidong Lu, Shun |
author_sort | Wang, Xiaohong |
collection | PubMed |
description | BACKGROUND: Activated epidermal growth factor receptor (EGFR) mutation is the main pathogenic cause of non-small cell lung cancer (NSCLC) in Asia. However, the impact of plasma EGFR mutation abundance, especially of the ultra-low abundance of EGFR mutation detected by highly sensitive techniques on clinical outcomes of first-line EGFR tyrosine kinase inhibitors (TKIs) for advanced NSCLC patients remains unclear. METHODS: We qualitatively detected baseline EGFR status of NSCLC tissues using amplification-refractory mutation system and quantified the plasma abundance of EGFR mutations through next-generation sequencing (NGS). Every 8–12 weeks, we performed dynamic detection of plasma mutation abundance and imaging evaluation. We analyzed the association between plasma abundance of EGFR sensitizing mutations, tumor size, tumor shrinkage percentage, concomitant TP53 mutations, and clinical response to TKIs. RESULTS: This prospective study enrolled 135 patients with advanced NSCLC. The objective response rate (ORR) and disease control rate (DCR) for EGFR mutation–positive patients were 50.0% and 87.0%, respectively. When the cutoff value of plasma EGFR mutation abundance was 0.1%, the ORRs of TKI-treated patients were significantly different (60.0% for the >0.1% group vs. 21.4% for the ≤0.1% group, P=0.028). Median progression-free survival (PFS) was significantly longer for participants with a mutation abundance above 0.1% compared to those with a 0.01–0.1% abundance (log rank, P=0.0115). There was no significant association between plasma abundance of EGFR sensitizing mutations and tumor size, tumor shrinkage percentage, or concomitant TP53 mutations. Cox multivariate analysis demonstrated that plasma mutation abundance was an independent predictive factor for PFS [hazard ratio (HR) 2.41, 95% confidence interval (CI): 1.12–5.20; P=0.025]. We identified 11 participants with the acquired T790M resistance mutation according to serial dynamic plasma samples. CONCLUSIONS: Liquid biopsy screening based on highly sensitive NGS is reliable for detecting drug resistance and actionable somatic mutations. The plasma abundance of the EGFR driver mutation affected clinical response to EGFR-TKIs in advanced NSCLC patients; prolongation of PFS was also observed in patients with an ultra-low abundance of EGFR sensitizing mutations. |
format | Online Article Text |
id | pubmed-8106032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-81060322021-05-12 Plasma EGFR mutation abundance affects clinical response to first-line EGFR-TKIs in patients with advanced non-small cell lung cancer Wang, Xiaohong Liu, Yonggang Meng, Zhiying Wu, Yun Wang, Shubin Jin, Gaowa Qin, Yingchun Wang, Fengyun Wang, Jing Zhou, Haifei Su, Xiaoxing Fu, Xiuhua Wang, Xiaolan Shi, Xiaoyu Wen, Zhenping Jia, Xiaoqiong Qin, Qiong Gao, Yongqiang Guo, Weidong Lu, Shun Ann Transl Med Original Article BACKGROUND: Activated epidermal growth factor receptor (EGFR) mutation is the main pathogenic cause of non-small cell lung cancer (NSCLC) in Asia. However, the impact of plasma EGFR mutation abundance, especially of the ultra-low abundance of EGFR mutation detected by highly sensitive techniques on clinical outcomes of first-line EGFR tyrosine kinase inhibitors (TKIs) for advanced NSCLC patients remains unclear. METHODS: We qualitatively detected baseline EGFR status of NSCLC tissues using amplification-refractory mutation system and quantified the plasma abundance of EGFR mutations through next-generation sequencing (NGS). Every 8–12 weeks, we performed dynamic detection of plasma mutation abundance and imaging evaluation. We analyzed the association between plasma abundance of EGFR sensitizing mutations, tumor size, tumor shrinkage percentage, concomitant TP53 mutations, and clinical response to TKIs. RESULTS: This prospective study enrolled 135 patients with advanced NSCLC. The objective response rate (ORR) and disease control rate (DCR) for EGFR mutation–positive patients were 50.0% and 87.0%, respectively. When the cutoff value of plasma EGFR mutation abundance was 0.1%, the ORRs of TKI-treated patients were significantly different (60.0% for the >0.1% group vs. 21.4% for the ≤0.1% group, P=0.028). Median progression-free survival (PFS) was significantly longer for participants with a mutation abundance above 0.1% compared to those with a 0.01–0.1% abundance (log rank, P=0.0115). There was no significant association between plasma abundance of EGFR sensitizing mutations and tumor size, tumor shrinkage percentage, or concomitant TP53 mutations. Cox multivariate analysis demonstrated that plasma mutation abundance was an independent predictive factor for PFS [hazard ratio (HR) 2.41, 95% confidence interval (CI): 1.12–5.20; P=0.025]. We identified 11 participants with the acquired T790M resistance mutation according to serial dynamic plasma samples. CONCLUSIONS: Liquid biopsy screening based on highly sensitive NGS is reliable for detecting drug resistance and actionable somatic mutations. The plasma abundance of the EGFR driver mutation affected clinical response to EGFR-TKIs in advanced NSCLC patients; prolongation of PFS was also observed in patients with an ultra-low abundance of EGFR sensitizing mutations. AME Publishing Company 2021-04 /pmc/articles/PMC8106032/ /pubmed/33987333 http://dx.doi.org/10.21037/atm-20-7155 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Wang, Xiaohong Liu, Yonggang Meng, Zhiying Wu, Yun Wang, Shubin Jin, Gaowa Qin, Yingchun Wang, Fengyun Wang, Jing Zhou, Haifei Su, Xiaoxing Fu, Xiuhua Wang, Xiaolan Shi, Xiaoyu Wen, Zhenping Jia, Xiaoqiong Qin, Qiong Gao, Yongqiang Guo, Weidong Lu, Shun Plasma EGFR mutation abundance affects clinical response to first-line EGFR-TKIs in patients with advanced non-small cell lung cancer |
title | Plasma EGFR mutation abundance affects clinical response to first-line EGFR-TKIs in patients with advanced non-small cell lung cancer |
title_full | Plasma EGFR mutation abundance affects clinical response to first-line EGFR-TKIs in patients with advanced non-small cell lung cancer |
title_fullStr | Plasma EGFR mutation abundance affects clinical response to first-line EGFR-TKIs in patients with advanced non-small cell lung cancer |
title_full_unstemmed | Plasma EGFR mutation abundance affects clinical response to first-line EGFR-TKIs in patients with advanced non-small cell lung cancer |
title_short | Plasma EGFR mutation abundance affects clinical response to first-line EGFR-TKIs in patients with advanced non-small cell lung cancer |
title_sort | plasma egfr mutation abundance affects clinical response to first-line egfr-tkis in patients with advanced non-small cell lung cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106032/ https://www.ncbi.nlm.nih.gov/pubmed/33987333 http://dx.doi.org/10.21037/atm-20-7155 |
work_keys_str_mv | AT wangxiaohong plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT liuyonggang plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT mengzhiying plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT wuyun plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT wangshubin plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT jingaowa plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT qinyingchun plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT wangfengyun plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT wangjing plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT zhouhaifei plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT suxiaoxing plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT fuxiuhua plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT wangxiaolan plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT shixiaoyu plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT wenzhenping plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT jiaxiaoqiong plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT qinqiong plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT gaoyongqiang plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT guoweidong plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer AT lushun plasmaegfrmutationabundanceaffectsclinicalresponsetofirstlineegfrtkisinpatientswithadvancednonsmallcelllungcancer |