Association of anaplastic lymphoma kinase variants and alterations with ensartinib response duration in non‐small cell lung cancer

Abstract Background Here, we aimed to assess the association of ALK variants and alterations with ensartinib response duration in NSCLC, and explore the potential value of computed tomography (CT) radiomic features in predicting progression‐free survival (PFS). Methods We enrolled 88 patients with i...

Full description

Bibliographic Details
Main Authors: Donghui Hou, Xiaomin Zheng, Wei Song, Xiaoqing Liu, Sicong Wang, Lina Zhou, Xiuli Tao, Lv Lv, Qi Sun, Yujing Jin, Zewei Zhang, Lieming Ding, Ning Wu, Shijun Zhao
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:Thoracic Cancer
Subjects:
Online Access:https://doi.org/10.1111/1759-7714.14083
id doaj-1419e33c21fb4eecb42ff7ad547591de
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Donghui Hou
Xiaomin Zheng
Wei Song
Xiaoqing Liu
Sicong Wang
Lina Zhou
Xiuli Tao
Lv Lv
Qi Sun
Yujing Jin
Zewei Zhang
Lieming Ding
Ning Wu
Shijun Zhao
spellingShingle Donghui Hou
Xiaomin Zheng
Wei Song
Xiaoqing Liu
Sicong Wang
Lina Zhou
Xiuli Tao
Lv Lv
Qi Sun
Yujing Jin
Zewei Zhang
Lieming Ding
Ning Wu
Shijun Zhao
Association of anaplastic lymphoma kinase variants and alterations with ensartinib response duration in non‐small cell lung cancer
Thoracic Cancer
ALK fusion
ensartinib
gene mutation
progression‐free survival
radiomics
author_facet Donghui Hou
Xiaomin Zheng
Wei Song
Xiaoqing Liu
Sicong Wang
Lina Zhou
Xiuli Tao
Lv Lv
Qi Sun
Yujing Jin
Zewei Zhang
Lieming Ding
Ning Wu
Shijun Zhao
author_sort Donghui Hou
title Association of anaplastic lymphoma kinase variants and alterations with ensartinib response duration in non‐small cell lung cancer
title_short Association of anaplastic lymphoma kinase variants and alterations with ensartinib response duration in non‐small cell lung cancer
title_full Association of anaplastic lymphoma kinase variants and alterations with ensartinib response duration in non‐small cell lung cancer
title_fullStr Association of anaplastic lymphoma kinase variants and alterations with ensartinib response duration in non‐small cell lung cancer
title_full_unstemmed Association of anaplastic lymphoma kinase variants and alterations with ensartinib response duration in non‐small cell lung cancer
title_sort association of anaplastic lymphoma kinase variants and alterations with ensartinib response duration in non‐small cell lung cancer
publisher Wiley
series Thoracic Cancer
issn 1759-7706
1759-7714
publishDate 2021-09-01
description Abstract Background Here, we aimed to assess the association of ALK variants and alterations with ensartinib response duration in NSCLC, and explore the potential value of computed tomography (CT) radiomic features in predicting progression‐free survival (PFS). Methods We enrolled 88 patients with identified ALK variant NSCLC in a multicenter phase 2 trial, and assessed the impact of ALK variants and secondary ALK alterations on the clinical outcome (response duration) of patients receiving ensartinib. We also established a multifactorial model of clinicopathological and quantitative CT radiomic features to predict PFS and risk stratification. Kaplan–Meier analysis was conducted to identify risk factors for tumor progression. Results Univariate analysis indicated a statistical difference (p = 0.035) in PFS among ALK variants in three classifications (V1, V3, and other variants). Secondary ALK alterations were adversely associated with PFS both in univariate (p = 0.008) and multivariate (p = 0.04) analyses and could identify patients at high risk for early progression in the Kaplan–Meier analysis (p = 0.002). Additionally, response duration to crizotinib <1 year and liver metastasis were adversely associated with PFS. The combined model, composed of clinicopathological signature and CT radiomic signature, showed good prediction ability with the area under the receiver operating characteristic curve being 0.85, and 0.89 in the training and validation dataset respectively. Conclusions Our study showed that secondary ALK alterations were adversely associated with ensartinib efficacy, and that ALK variants might not correlate with PFS. The quantitative radiomic signature provided added prognostic prediction value to the clinicopathological features.
topic ALK fusion
ensartinib
gene mutation
progression‐free survival
radiomics
url https://doi.org/10.1111/1759-7714.14083
work_keys_str_mv AT donghuihou associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT xiaominzheng associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT weisong associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT xiaoqingliu associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT sicongwang associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT linazhou associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT xiulitao associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT lvlv associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT qisun associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT yujingjin associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT zeweizhang associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT liemingding associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT ningwu associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
AT shijunzhao associationofanaplasticlymphomakinasevariantsandalterationswithensartinibresponsedurationinnonsmallcelllungcancer
_version_ 1721181651993624576
spelling doaj-1419e33c21fb4eecb42ff7ad547591de2021-09-02T01:52:16ZengWileyThoracic Cancer1759-77061759-77142021-09-0112172388239910.1111/1759-7714.14083Association of anaplastic lymphoma kinase variants and alterations with ensartinib response duration in non‐small cell lung cancerDonghui Hou0Xiaomin Zheng1Wei Song2Xiaoqing Liu3Sicong Wang4Lina Zhou5Xiuli Tao6Lv Lv7Qi Sun8Yujing Jin9Zewei Zhang10Lieming Ding11Ning Wu12Shijun Zhao13Department of Diagnostic Radiology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Endocrinology Chui Yang Liu Hospital affiliated to Tsinghua University Beijing ChinaDepartment of Radiology Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College Beijing ChinaDepartment of Pulmonary Oncology The Fifth Medical Centre, Chinese PLA General Hospital Beijing ChinaGE Healthcare, Life Sciences Beijing ChinaDepartment of Diagnostic Radiology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaPET‐CT Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaPET‐CT Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Radiology Harbin Medical University Cancer Hospital Harbin ChinaPET‐CT Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaPET‐CT Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaBetta Pharmaceuticals Co., Ltd. Hangzhou ChinaDepartment of Diagnostic Radiology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Diagnostic Radiology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaAbstract Background Here, we aimed to assess the association of ALK variants and alterations with ensartinib response duration in NSCLC, and explore the potential value of computed tomography (CT) radiomic features in predicting progression‐free survival (PFS). Methods We enrolled 88 patients with identified ALK variant NSCLC in a multicenter phase 2 trial, and assessed the impact of ALK variants and secondary ALK alterations on the clinical outcome (response duration) of patients receiving ensartinib. We also established a multifactorial model of clinicopathological and quantitative CT radiomic features to predict PFS and risk stratification. Kaplan–Meier analysis was conducted to identify risk factors for tumor progression. Results Univariate analysis indicated a statistical difference (p = 0.035) in PFS among ALK variants in three classifications (V1, V3, and other variants). Secondary ALK alterations were adversely associated with PFS both in univariate (p = 0.008) and multivariate (p = 0.04) analyses and could identify patients at high risk for early progression in the Kaplan–Meier analysis (p = 0.002). Additionally, response duration to crizotinib <1 year and liver metastasis were adversely associated with PFS. The combined model, composed of clinicopathological signature and CT radiomic signature, showed good prediction ability with the area under the receiver operating characteristic curve being 0.85, and 0.89 in the training and validation dataset respectively. Conclusions Our study showed that secondary ALK alterations were adversely associated with ensartinib efficacy, and that ALK variants might not correlate with PFS. The quantitative radiomic signature provided added prognostic prediction value to the clinicopathological features.https://doi.org/10.1111/1759-7714.14083ALK fusionensartinibgene mutationprogression‐free survivalradiomics