City scale related to epidermal growth factor receptor mutations status in Chinese non-small cell lung cancer

Abstract Purpose This study aimed to explore the relationship between city scale and epidermal growth factor receptor (EGFR) mutation status in Chinese patients with non-small cell lung cancer (NSCLC). Methods A retrospective study enrolled NSCLC patients who underwent tissue EGFR mutation testing a...

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Main Authors: Guang-Gui Ding, Jie-Lun Wen, Rui Gong, Jiao-Jiao Yang, Wen-Jian Cen, Ling Deng, Fang Wang, Li-Yue Sun
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Oncology
Subjects:
Online Access:https://doi.org/10.1007/s12672-025-02558-4
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author Guang-Gui Ding
Jie-Lun Wen
Rui Gong
Jiao-Jiao Yang
Wen-Jian Cen
Ling Deng
Fang Wang
Li-Yue Sun
author_facet Guang-Gui Ding
Jie-Lun Wen
Rui Gong
Jiao-Jiao Yang
Wen-Jian Cen
Ling Deng
Fang Wang
Li-Yue Sun
author_sort Guang-Gui Ding
collection DOAJ
description Abstract Purpose This study aimed to explore the relationship between city scale and epidermal growth factor receptor (EGFR) mutation status in Chinese patients with non-small cell lung cancer (NSCLC). Methods A retrospective study enrolled NSCLC patients who underwent tissue EGFR mutation testing at Sun Yat-sen University Cancer Center from 2012 to 2017. City scale was categorized according to classifications made by the State Council of China in 2014. Multivariable logistic regression was utilized to determine independent predictors of EGFR mutation status in NSCLC patients. Results A total of 4637 NSCLC patients were enrolled in this study. EGFR mutation related to gender, smoking statue, histological type, and city scale. Higher rate of EGFR mutations among patients of super large-sized and very large-sized cities compared to other cities. There was an inverse relationship between city scale and smoking status among patients. Multivariate analysis showed that city scale was not an independent predictor of EGFR mutation. Conclusions Although there is a correlation between the size of a city and the rates of EGFR mutations in Chinese NSCLC patients, city scale does not independently predict these mutation rates. Instead, the variations in EGFR mutation rates could be indirectly related to different levels of urbanization, which may influence smoking behaviors among the populations.
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publishDate 2025-05-01
publisher Springer
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series Discover Oncology
spelling doaj-art-668f231a7e1041fb8f93967b3ef786b32025-08-20T02:15:07ZengSpringerDiscover Oncology2730-60112025-05-0116111010.1007/s12672-025-02558-4City scale related to epidermal growth factor receptor mutations status in Chinese non-small cell lung cancerGuang-Gui Ding0Jie-Lun Wen1Rui Gong2Jiao-Jiao Yang3Wen-Jian Cen4Ling Deng5Fang Wang6Li-Yue Sun7Department of Thoracic Surgery, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of South University of Science and TechnologySchool of Medicine, Jinan UniversityHealth Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Oncology, The Seventh Affiliated Hospital of Sun Yat-Sen UniversityDepartment of Molecular Diagnostics, Sun Yat-Sen University Cancer CenterDepartment of Molecular Diagnostics, Sun Yat-Sen University Cancer CenterDepartment of Molecular Diagnostics, Sun Yat-Sen University Cancer CenterDepartment of Health Management Centre, Zhongshan Hospital, Fudan UniversityAbstract Purpose This study aimed to explore the relationship between city scale and epidermal growth factor receptor (EGFR) mutation status in Chinese patients with non-small cell lung cancer (NSCLC). Methods A retrospective study enrolled NSCLC patients who underwent tissue EGFR mutation testing at Sun Yat-sen University Cancer Center from 2012 to 2017. City scale was categorized according to classifications made by the State Council of China in 2014. Multivariable logistic regression was utilized to determine independent predictors of EGFR mutation status in NSCLC patients. Results A total of 4637 NSCLC patients were enrolled in this study. EGFR mutation related to gender, smoking statue, histological type, and city scale. Higher rate of EGFR mutations among patients of super large-sized and very large-sized cities compared to other cities. There was an inverse relationship between city scale and smoking status among patients. Multivariate analysis showed that city scale was not an independent predictor of EGFR mutation. Conclusions Although there is a correlation between the size of a city and the rates of EGFR mutations in Chinese NSCLC patients, city scale does not independently predict these mutation rates. Instead, the variations in EGFR mutation rates could be indirectly related to different levels of urbanization, which may influence smoking behaviors among the populations.https://doi.org/10.1007/s12672-025-02558-4City scaleEGFR mutationNSCLCSmokingChinese
spellingShingle Guang-Gui Ding
Jie-Lun Wen
Rui Gong
Jiao-Jiao Yang
Wen-Jian Cen
Ling Deng
Fang Wang
Li-Yue Sun
City scale related to epidermal growth factor receptor mutations status in Chinese non-small cell lung cancer
Discover Oncology
City scale
EGFR mutation
NSCLC
Smoking
Chinese
title City scale related to epidermal growth factor receptor mutations status in Chinese non-small cell lung cancer
title_full City scale related to epidermal growth factor receptor mutations status in Chinese non-small cell lung cancer
title_fullStr City scale related to epidermal growth factor receptor mutations status in Chinese non-small cell lung cancer
title_full_unstemmed City scale related to epidermal growth factor receptor mutations status in Chinese non-small cell lung cancer
title_short City scale related to epidermal growth factor receptor mutations status in Chinese non-small cell lung cancer
title_sort city scale related to epidermal growth factor receptor mutations status in chinese non small cell lung cancer
topic City scale
EGFR mutation
NSCLC
Smoking
Chinese
url https://doi.org/10.1007/s12672-025-02558-4
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