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...
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Format: | Article |
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Wiley
2021-09-01
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Series: | Thoracic Cancer |
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Online Access: | https://doi.org/10.1111/1759-7714.14083 |
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doaj-1419e33c21fb4eecb42ff7ad547591de |
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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 |
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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 |