Cargando…

Estimation of cell-free circulating EGFR mutation concentration predicts outcomes in NSCLC patients treated with EGFR-TKIs

Detection of circulating tumor DNA using droplet digital polymerase chain reaction (ddPCR) is a highly-sensitive, minimally invasive alternative to serial biopsies for assessment and management of cancer. We used ddPCR to assess the utility of measuring plasma concentrations of common epidermal grow...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Yan-juan, Zhang, Hai-bo, Liu, Yi-hong, Zhang, Fu-li, Zhu, Ya-zhen, Li, Yong, Bai, Jian-ping, Liu, Li-rong, Qu, Yan-chun, Qu, Xin, Chen, Xian, Li, Yan, Zheng, Guang-juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355088/
https://www.ncbi.nlm.nih.gov/pubmed/28061461
http://dx.doi.org/10.18632/oncotarget.14490
_version_ 1782515462119096320
author Zhu, Yan-juan
Zhang, Hai-bo
Liu, Yi-hong
Zhang, Fu-li
Zhu, Ya-zhen
Li, Yong
Bai, Jian-ping
Liu, Li-rong
Qu, Yan-chun
Qu, Xin
Chen, Xian
Li, Yan
Zheng, Guang-juan
author_facet Zhu, Yan-juan
Zhang, Hai-bo
Liu, Yi-hong
Zhang, Fu-li
Zhu, Ya-zhen
Li, Yong
Bai, Jian-ping
Liu, Li-rong
Qu, Yan-chun
Qu, Xin
Chen, Xian
Li, Yan
Zheng, Guang-juan
author_sort Zhu, Yan-juan
collection PubMed
description Detection of circulating tumor DNA using droplet digital polymerase chain reaction (ddPCR) is a highly-sensitive, minimally invasive alternative to serial biopsies for assessment and management of cancer. We used ddPCR to assess the utility of measuring plasma concentrations of common epidermal growth factor receptor (EGFR) mutations (L858R, exon 19 deletion, and T790M) in 57 non-small cell lung cancer (NSCLC) patients treated with EGFR tyrosine kinase inhibitors (EGFR-TKIs). High baseline plasma EGFR mutation (pEGFRmut) concentrations were associated with shorter progression-free survival (8.43 months) than low baseline pEGFRmut (16.23 months; p = 0.0019). By contrast, there were no differences in tumor shrinkage or overall survival between groups. During EGFR-TKI treatment, pEGFRmut levels decreased to zero in 89.58% of patients. Twenty-five of the 27 patients who progressed had basal pEGFRmut, and 18 also had circulating T790M. All 20 patients with dramatic progression (according to a categorization system for EGFR-TKIs failure) had basal pEGFRmut, and 13 had T790M mutation at progression. These results support the use of ddPCR for analysis of plasma EGFR mutations for prediction of PFS and to monitor clinical responses to EGFR-TKIs in NSCLC patients.
format Online
Article
Text
id pubmed-5355088
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Impact Journals LLC
record_format MEDLINE/PubMed
spelling pubmed-53550882017-04-15 Estimation of cell-free circulating EGFR mutation concentration predicts outcomes in NSCLC patients treated with EGFR-TKIs Zhu, Yan-juan Zhang, Hai-bo Liu, Yi-hong Zhang, Fu-li Zhu, Ya-zhen Li, Yong Bai, Jian-ping Liu, Li-rong Qu, Yan-chun Qu, Xin Chen, Xian Li, Yan Zheng, Guang-juan Oncotarget Research Paper Detection of circulating tumor DNA using droplet digital polymerase chain reaction (ddPCR) is a highly-sensitive, minimally invasive alternative to serial biopsies for assessment and management of cancer. We used ddPCR to assess the utility of measuring plasma concentrations of common epidermal growth factor receptor (EGFR) mutations (L858R, exon 19 deletion, and T790M) in 57 non-small cell lung cancer (NSCLC) patients treated with EGFR tyrosine kinase inhibitors (EGFR-TKIs). High baseline plasma EGFR mutation (pEGFRmut) concentrations were associated with shorter progression-free survival (8.43 months) than low baseline pEGFRmut (16.23 months; p = 0.0019). By contrast, there were no differences in tumor shrinkage or overall survival between groups. During EGFR-TKI treatment, pEGFRmut levels decreased to zero in 89.58% of patients. Twenty-five of the 27 patients who progressed had basal pEGFRmut, and 18 also had circulating T790M. All 20 patients with dramatic progression (according to a categorization system for EGFR-TKIs failure) had basal pEGFRmut, and 13 had T790M mutation at progression. These results support the use of ddPCR for analysis of plasma EGFR mutations for prediction of PFS and to monitor clinical responses to EGFR-TKIs in NSCLC patients. Impact Journals LLC 2017-01-04 /pmc/articles/PMC5355088/ /pubmed/28061461 http://dx.doi.org/10.18632/oncotarget.14490 Text en Copyright: © 2017 Zhu et al. http://creativecommons.org/licenses/by/3.0/ 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
Zhu, Yan-juan
Zhang, Hai-bo
Liu, Yi-hong
Zhang, Fu-li
Zhu, Ya-zhen
Li, Yong
Bai, Jian-ping
Liu, Li-rong
Qu, Yan-chun
Qu, Xin
Chen, Xian
Li, Yan
Zheng, Guang-juan
Estimation of cell-free circulating EGFR mutation concentration predicts outcomes in NSCLC patients treated with EGFR-TKIs
title Estimation of cell-free circulating EGFR mutation concentration predicts outcomes in NSCLC patients treated with EGFR-TKIs
title_full Estimation of cell-free circulating EGFR mutation concentration predicts outcomes in NSCLC patients treated with EGFR-TKIs
title_fullStr Estimation of cell-free circulating EGFR mutation concentration predicts outcomes in NSCLC patients treated with EGFR-TKIs
title_full_unstemmed Estimation of cell-free circulating EGFR mutation concentration predicts outcomes in NSCLC patients treated with EGFR-TKIs
title_short Estimation of cell-free circulating EGFR mutation concentration predicts outcomes in NSCLC patients treated with EGFR-TKIs
title_sort estimation of cell-free circulating egfr mutation concentration predicts outcomes in nsclc patients treated with egfr-tkis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355088/
https://www.ncbi.nlm.nih.gov/pubmed/28061461
http://dx.doi.org/10.18632/oncotarget.14490
work_keys_str_mv AT zhuyanjuan estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT zhanghaibo estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT liuyihong estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT zhangfuli estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT zhuyazhen estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT liyong estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT baijianping estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT liulirong estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT quyanchun estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT quxin estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT chenxian estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT liyan estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis
AT zhengguangjuan estimationofcellfreecirculatingegfrmutationconcentrationpredictsoutcomesinnsclcpatientstreatedwithegfrtkis