The prevalence of EGFR mutation in patients with non-small cell lung cancer: a systematic review and meta-analysis

// Yue-Lun Zhang 1, 2 , Jin-Qiu Yuan 1, 2 , Kai-Feng Wang 3 , Xiao-Hong Fu 1, 2 , Xiao-Ran Han 1, 2 , Diane Threapleton 1 , Zu-Yao Yang 1, 2 , Chen Mao 1, 2 , Jin-Ling Tang 1, 2 1 Division of Epidemiology, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China 2 Shenzhen Municipal Key Laboratory for Health Risk Analysis, Shenzhen Research Institute of The Chinese University of Hong Kong, Shenzhen, Guangdong Province, China 3 Division of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, Guangdong Province, China Correspondence to: Chen Mao, email: maochen@cuhk.edu.hk Jin-Ling Tang, email: jltang@cuhk.edu.hk 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 ABSTRACT 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.