The prevalence of EGFR mutation in patients with non-small cell lung cancer: a systematic review and meta-analysis
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Yue-Lun Zhang1,2, Jin-Qiu Yuan1,2, Kai-Feng Wang3, Xiao-Hong Fu1,2, Xiao-Ran Han1,2, Diane Threapleton1, Zu-Yao Yang1,2, Chen Mao1,2, Jin-Ling Tang1,2
1Division of Epidemiology, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
2Shenzhen Municipal Key Laboratory for Health Risk Analysis, Shenzhen Research Institute of The Chinese University of Hong Kong, Shenzhen, Guangdong Province, China
3Division of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, Guangdong Province, China
Chen Mao, email: firstname.lastname@example.org
Jin-Ling Tang, email: email@example.com
Keywords: non-small cell lung cancer, epidermal growth factor receptor, prevalence, systematic review, meta-analysis
Received: May 17, 2016 Accepted: September 25, 2016 Published: October 12, 2016
Objectives: Estimate the epidermal growth factor receptor (EGFR) mutation prevalence in all non-small cell lung cancer (NSCLC) patients and patient subgroups.
Results: A total of 456 studies were included, reporting 30,466 patients with EGFR mutation among 115,815 NSCLC patients. The overall pooled prevalence for EGFR mutations was 32.3% (95% CI 30.9% to 33.7%), ranging from 38.4% (95% CI: 36.5% to 40.3%) in China to 14.1% (95% CI: 12.7% to 15.5%) in Europe. The pooled prevalence of EGFR mutation was higher in females (females vs. males: 43.7% vs. 24.0%; OR: 2.7, 95% CI: 2.5 to 2.9), non-smokers (non-smokers vs. past or current smokers: 49.3% vs. 21.5%; OR: 3.7, 95% CI: 3.4 to 4.0), and patients with adenocarcinoma (adenocarcinoma vs. non-adenocarcinoma: 38.0% vs. 11.7%; OR: 4.1, 95% CI: 3.6 to 4.8).
Materials and Methods: PubMed, EMBASE, and the Cochrane Library were searched to June 2013. Eligible studies reported EGFR mutation prevalence and the association with at least one of the following factors: gender, smoking status and histology. Random-effects models were used to pool EGFR mutation prevalence data.
Conclusion: This study provides the exact prevalence of EGFR mutations in different countries and NSCLC patient subgroups.
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