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Analysis of real-word mutations of lung cancer driver genes in five regions of China

BACKGROUND: The aim of this study was to analyse the epidemiological characteristics and clinical features of the three driver genes EGFR, ALK and ROS1 in Chinese patients with non-small-cell lung cancer (NSCLC). METHODS: EGFR mutations, ALK fusions and ROS1 rearrangements were detected simultaneous...

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Autores principales: Sun, Mengyao, Guo, Ye, Shao, Guoguang, Duan, Xiumei, Yang, Zhiguang, Zhang, Peng, Liu, Yunpeng, Dong, Yutong, Wang, Xu, Xu, Yinghui, Sun, Chao, Ma, Kewei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798790/
https://www.ncbi.nlm.nih.gov/pubmed/35117015
http://dx.doi.org/10.21037/tcr.2019.10.28
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author Sun, Mengyao
Guo, Ye
Shao, Guoguang
Duan, Xiumei
Yang, Zhiguang
Zhang, Peng
Liu, Yunpeng
Dong, Yutong
Wang, Xu
Xu, Yinghui
Sun, Chao
Ma, Kewei
author_facet Sun, Mengyao
Guo, Ye
Shao, Guoguang
Duan, Xiumei
Yang, Zhiguang
Zhang, Peng
Liu, Yunpeng
Dong, Yutong
Wang, Xu
Xu, Yinghui
Sun, Chao
Ma, Kewei
author_sort Sun, Mengyao
collection PubMed
description BACKGROUND: The aim of this study was to analyse the epidemiological characteristics and clinical features of the three driver genes EGFR, ALK and ROS1 in Chinese patients with non-small-cell lung cancer (NSCLC). METHODS: EGFR mutations, ALK fusions and ROS1 rearrangements were detected simultaneously by quantitative real-time PCR. Subgroup analyses were performed for adenocarcinoma and squamous cancer. The Chi-square test and multivariate logistic regressive analysis were used to analyse the associations between gene alterations and clinical features. RESULTS: A total of 3,081 patients with pathologically confirmed NSCLC from five sites in China were enrolled, among whom 1,449 (47.03%) had EGFR, ALK and/or ROS1 alterations. In adenocarcinoma, the alteration rates of EGFR, ALK and ROS1 were 50.6% (1,193/2,360), 6.3% (148/2,360), and 1.6% (38/2,360), respectively. EGFR and EML4-ALK coexisted in 16 cases (0.5%), while EGFR and ROS1 coexisted in 1 case (0.03%). Sex, smoking status, and tumour stage were significantly correlated with the EGFR mutation; age and smoking status were correlated with EML4-ALK; and age and tumour stage were correlated with ROS1. In squamous cancer, the alteration rates of EGFR, ALK and ROS1 were 7% (34/488), 2.9% (14/488) and 0% (0/488), respectively. Sex and smoking history were associated with EGFR, and sex was the only independent predictor of EGFR. The EGFR gene mutation sites were mainly 19del (557/1,263; 44.1%) and 21 exon L858R (575/1,263; 45.5%). More uncommon EGFR mutation types were present in 10.4% (131/1,263) of patients. Patients with EGFR, ALK, and/or ROS1 alterations had different epidemiological characteristics and clinical features. CONCLUSIONS: This real-word study of alterations in driver genes in a large population in China revealed unique epidemiological characteristics and clinical features in Chinese patients with NSCLC.
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spelling pubmed-87987902022-02-02 Analysis of real-word mutations of lung cancer driver genes in five regions of China Sun, Mengyao Guo, Ye Shao, Guoguang Duan, Xiumei Yang, Zhiguang Zhang, Peng Liu, Yunpeng Dong, Yutong Wang, Xu Xu, Yinghui Sun, Chao Ma, Kewei Transl Cancer Res Original Article BACKGROUND: The aim of this study was to analyse the epidemiological characteristics and clinical features of the three driver genes EGFR, ALK and ROS1 in Chinese patients with non-small-cell lung cancer (NSCLC). METHODS: EGFR mutations, ALK fusions and ROS1 rearrangements were detected simultaneously by quantitative real-time PCR. Subgroup analyses were performed for adenocarcinoma and squamous cancer. The Chi-square test and multivariate logistic regressive analysis were used to analyse the associations between gene alterations and clinical features. RESULTS: A total of 3,081 patients with pathologically confirmed NSCLC from five sites in China were enrolled, among whom 1,449 (47.03%) had EGFR, ALK and/or ROS1 alterations. In adenocarcinoma, the alteration rates of EGFR, ALK and ROS1 were 50.6% (1,193/2,360), 6.3% (148/2,360), and 1.6% (38/2,360), respectively. EGFR and EML4-ALK coexisted in 16 cases (0.5%), while EGFR and ROS1 coexisted in 1 case (0.03%). Sex, smoking status, and tumour stage were significantly correlated with the EGFR mutation; age and smoking status were correlated with EML4-ALK; and age and tumour stage were correlated with ROS1. In squamous cancer, the alteration rates of EGFR, ALK and ROS1 were 7% (34/488), 2.9% (14/488) and 0% (0/488), respectively. Sex and smoking history were associated with EGFR, and sex was the only independent predictor of EGFR. The EGFR gene mutation sites were mainly 19del (557/1,263; 44.1%) and 21 exon L858R (575/1,263; 45.5%). More uncommon EGFR mutation types were present in 10.4% (131/1,263) of patients. Patients with EGFR, ALK, and/or ROS1 alterations had different epidemiological characteristics and clinical features. CONCLUSIONS: This real-word study of alterations in driver genes in a large population in China revealed unique epidemiological characteristics and clinical features in Chinese patients with NSCLC. AME Publishing Company 2019-11 /pmc/articles/PMC8798790/ /pubmed/35117015 http://dx.doi.org/10.21037/tcr.2019.10.28 Text en 2019 Translational Cancer Research. 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/.
spellingShingle Original Article
Sun, Mengyao
Guo, Ye
Shao, Guoguang
Duan, Xiumei
Yang, Zhiguang
Zhang, Peng
Liu, Yunpeng
Dong, Yutong
Wang, Xu
Xu, Yinghui
Sun, Chao
Ma, Kewei
Analysis of real-word mutations of lung cancer driver genes in five regions of China
title Analysis of real-word mutations of lung cancer driver genes in five regions of China
title_full Analysis of real-word mutations of lung cancer driver genes in five regions of China
title_fullStr Analysis of real-word mutations of lung cancer driver genes in five regions of China
title_full_unstemmed Analysis of real-word mutations of lung cancer driver genes in five regions of China
title_short Analysis of real-word mutations of lung cancer driver genes in five regions of China
title_sort analysis of real-word mutations of lung cancer driver genes in five regions of china
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798790/
https://www.ncbi.nlm.nih.gov/pubmed/35117015
http://dx.doi.org/10.21037/tcr.2019.10.28
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