Cargando…

EGFR T790M relative mutation purity predicts osimertinib treatment efficacy in non-small cell lung cancer patients

BACKGROUND: Despite the impressive anti-tumor activity of osimertinib in epidermal growth factor receptor (EGFR) T790M-positive non-small cell lung cancer (NSCLC) patients, 30–40% of patients still show limited response. There is therefore a need to identify biomarkers that accurately predict the re...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Qiufan, Hong, Shaodong, Huang, Yan, Zhao, Hongyun, Yang, Yunpeng, Hou, Xue, Zhao, Yuanyuan, Ma, Yuxiang, Zhou, Ting, Zhang, Yaxiong, Fang, Wenfeng, Zhang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026329/
https://www.ncbi.nlm.nih.gov/pubmed/32067121
http://dx.doi.org/10.1186/s40169-020-0269-y
_version_ 1783498668451561472
author Zheng, Qiufan
Hong, Shaodong
Huang, Yan
Zhao, Hongyun
Yang, Yunpeng
Hou, Xue
Zhao, Yuanyuan
Ma, Yuxiang
Zhou, Ting
Zhang, Yaxiong
Fang, Wenfeng
Zhang, Li
author_facet Zheng, Qiufan
Hong, Shaodong
Huang, Yan
Zhao, Hongyun
Yang, Yunpeng
Hou, Xue
Zhao, Yuanyuan
Ma, Yuxiang
Zhou, Ting
Zhang, Yaxiong
Fang, Wenfeng
Zhang, Li
author_sort Zheng, Qiufan
collection PubMed
description BACKGROUND: Despite the impressive anti-tumor activity of osimertinib in epidermal growth factor receptor (EGFR) T790M-positive non-small cell lung cancer (NSCLC) patients, 30–40% of patients still show limited response. There is therefore a need to identify biomarkers that accurately predict the response to osimertinib therapy. In this study, 54 patients with targeted next-generation sequencing of circulating tumor DNA before osimertinib treatment and known T790M positivity were included. We investigated the predictive value of baseline circulating tumor DNA-derived biomarkers on osimertinib therapy. RESULTS: Baseline maximum somatic allele frequency (MSAF) level was not associated with objective response rate (ORR) (P = 0.886) and progression-free survival (PFS) (P = 0.370) of osimertinib treatment. T790M relative mutation purity (RMP, defined here as the ratio of T790M AF to MSAF) quartiles were found to be significantly associated with ORR (P for trend = 0.002) and PFS (P for trend = 0.006), and a cut off value of 0.24 identified two distinct prognostic groups [Hazard ratio (HR) = 0.36 for low T790M RMP, 95% confidence interval (CI) 0.18–0.72, P = 0.004). Additionally, although T790M relative mutation abundance (RMA, defined as T790M AF/EGFR driver AF) quartiles were not significantly associated with ORR (P for trend = 0.063), a cut off value of 0.30 also identified two distinct prognostic groups (HR = 0.43 for low T790M RMA, 95% CI 0.22–0.85, P = 0.015). However, in multivariate analysis, grouping of T790M RMP showed a better predictive value (HR = 0.46, 95% CI 0.20–1.05, P = 0.066) than T790M RMA (HR = 0.71, 95% CI 0.31–1.61, P = 0.409). Moreover, T790M RMP as continuous covariate was independently predictive of PFS (HR = 0.15, 95% CI 0.03–0.79, P =0.025), while T790M RMA was not (HR = 1.14, 95% CI 0.49–2.66, P =0.766). An external validation cohort further confirmed the T790M RMP was significantly associated with PFS of osimertinib therapy. CONCLUSIONS: This study established the independent predictive role of T790M RMP in NSCLC patients receiving osimertinib treatment.
format Online
Article
Text
id pubmed-7026329
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-70263292020-03-02 EGFR T790M relative mutation purity predicts osimertinib treatment efficacy in non-small cell lung cancer patients Zheng, Qiufan Hong, Shaodong Huang, Yan Zhao, Hongyun Yang, Yunpeng Hou, Xue Zhao, Yuanyuan Ma, Yuxiang Zhou, Ting Zhang, Yaxiong Fang, Wenfeng Zhang, Li Clin Transl Med Research BACKGROUND: Despite the impressive anti-tumor activity of osimertinib in epidermal growth factor receptor (EGFR) T790M-positive non-small cell lung cancer (NSCLC) patients, 30–40% of patients still show limited response. There is therefore a need to identify biomarkers that accurately predict the response to osimertinib therapy. In this study, 54 patients with targeted next-generation sequencing of circulating tumor DNA before osimertinib treatment and known T790M positivity were included. We investigated the predictive value of baseline circulating tumor DNA-derived biomarkers on osimertinib therapy. RESULTS: Baseline maximum somatic allele frequency (MSAF) level was not associated with objective response rate (ORR) (P = 0.886) and progression-free survival (PFS) (P = 0.370) of osimertinib treatment. T790M relative mutation purity (RMP, defined here as the ratio of T790M AF to MSAF) quartiles were found to be significantly associated with ORR (P for trend = 0.002) and PFS (P for trend = 0.006), and a cut off value of 0.24 identified two distinct prognostic groups [Hazard ratio (HR) = 0.36 for low T790M RMP, 95% confidence interval (CI) 0.18–0.72, P = 0.004). Additionally, although T790M relative mutation abundance (RMA, defined as T790M AF/EGFR driver AF) quartiles were not significantly associated with ORR (P for trend = 0.063), a cut off value of 0.30 also identified two distinct prognostic groups (HR = 0.43 for low T790M RMA, 95% CI 0.22–0.85, P = 0.015). However, in multivariate analysis, grouping of T790M RMP showed a better predictive value (HR = 0.46, 95% CI 0.20–1.05, P = 0.066) than T790M RMA (HR = 0.71, 95% CI 0.31–1.61, P = 0.409). Moreover, T790M RMP as continuous covariate was independently predictive of PFS (HR = 0.15, 95% CI 0.03–0.79, P =0.025), while T790M RMA was not (HR = 1.14, 95% CI 0.49–2.66, P =0.766). An external validation cohort further confirmed the T790M RMP was significantly associated with PFS of osimertinib therapy. CONCLUSIONS: This study established the independent predictive role of T790M RMP in NSCLC patients receiving osimertinib treatment. Springer Berlin Heidelberg 2020-02-17 /pmc/articles/PMC7026329/ /pubmed/32067121 http://dx.doi.org/10.1186/s40169-020-0269-y Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Zheng, Qiufan
Hong, Shaodong
Huang, Yan
Zhao, Hongyun
Yang, Yunpeng
Hou, Xue
Zhao, Yuanyuan
Ma, Yuxiang
Zhou, Ting
Zhang, Yaxiong
Fang, Wenfeng
Zhang, Li
EGFR T790M relative mutation purity predicts osimertinib treatment efficacy in non-small cell lung cancer patients
title EGFR T790M relative mutation purity predicts osimertinib treatment efficacy in non-small cell lung cancer patients
title_full EGFR T790M relative mutation purity predicts osimertinib treatment efficacy in non-small cell lung cancer patients
title_fullStr EGFR T790M relative mutation purity predicts osimertinib treatment efficacy in non-small cell lung cancer patients
title_full_unstemmed EGFR T790M relative mutation purity predicts osimertinib treatment efficacy in non-small cell lung cancer patients
title_short EGFR T790M relative mutation purity predicts osimertinib treatment efficacy in non-small cell lung cancer patients
title_sort egfr t790m relative mutation purity predicts osimertinib treatment efficacy in non-small cell lung cancer patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026329/
https://www.ncbi.nlm.nih.gov/pubmed/32067121
http://dx.doi.org/10.1186/s40169-020-0269-y
work_keys_str_mv AT zhengqiufan egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT hongshaodong egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT huangyan egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT zhaohongyun egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT yangyunpeng egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT houxue egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT zhaoyuanyuan egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT mayuxiang egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT zhouting egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT zhangyaxiong egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT fangwenfeng egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients
AT zhangli egfrt790mrelativemutationpuritypredictsosimertinibtreatmentefficacyinnonsmallcelllungcancerpatients