作者: Huan Wang , Jing Huang , Xiaojin Yu , Shuhua Han , Xing Yan
DOI: 10.1007/S00432-014-1709-0
关键词: Oncology 、 Epidermal growth factor receptor 、 Hematology 、 Meta-analysis 、 Internal medicine 、 Mutation (genetic algorithm) 、 Exon 、 Analysis of variance 、 Relative risk 、 Lung cancer 、 Bioinformatics 、 Medicine
摘要: Nearly 85 % of lung-cancer-specific epidermal growth factor receptor (EGFR) sensitive mutations comprise a substitution at position 858 (21L858R) and deletion mutants in exon 19 (19del). The aim this study was to assess the role EGFR mutation subtypes predicting efficacy tyrosine kinase inhibitors (EGFR TKIs) prognosis patients with advanced non-small cell lung cancer (NSCLC). We systematically searched for eligible articles investigating association between TKIs NSCLC. summary risk ratio (RR) mean difference (MD) were calculated using meta-analysis. In addition, we used variance analysis progression-free survival data (PFS) rank sum test overall data. We identified 22 trials involving 1,082 patients. objective response rate 19del group significantly higher than 21L858R (RR 1.23; 95 % CI 1.12–1.36; P < 0.0001). PFS (MD 3.55; 0.90–6.20; P = 0.009; MD 2.57; 0.51–4.62; P = 0.01) (OS) 10.52; 5.10–15.93; P = 0.0001) longer group; same results observed test. may be more efficient clinical marker NSCLC TKIs. Furthermore, have both OS. is also prognostic