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Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure
Published on: August 11, 2017
[Retrospective Study of Efficacy in BIM Gene Polymorphism on First-line EGFR-TKIs Treatment for Advanced Lung
Kun Qian1, Yi Zhang1, Xiuyi Zhi1
1Department of Thoracic Surgery, Xuanwu Hospital, Diagnostic and Treatment Centers of Lung Cancer, Capital Medical University, Beijing 100053, China.
Background:
The aim of this study is to detect the BIM polymorphism in 85 formalin-fixed and parrffin-embedded (FFPE) and some blood samples of advanced lung adenocarcinoma patients and study the relativity betweenthe BIM polymorphism and tyrosine kinase inhibitor (TKI). The correlation between BIM detection of different types of specimens was discussed.
Methods:
There were 85 patients who were diagnosed as advanced lung adenocarcinoma with epidermal growth factor receptor (EGFR) 19 or 21 exon mutation in thoracic surgery of Xuanwu Hospital from February 2013 to November 2014, all of who were received EGFR-TKI as first-line treatment in the study. FFPE and some blood were used to detect the BIM polymorphism. The objective response rate (ORR) and progression-free survival (PFS) of two groups were compared. According to smoking, sex, EGFR mutation and other factors, the single factor analysis was performed, and the correlation between paraffin samples and blood test BIM was compared.
Results:
The ORR in BIM polymorphism and non-polymorphism groups was no significant differences (P>0.05). The median PFS in BIM polymorphism and non-polymorphism group was 7.1 months and 12.8 months, respectively (P=0.013). Univariate analysis the median PFS, women were longer than men (12.1 months vs 10.7 months, P=0.835); Non-smokers were longer than smokers (12.1 months vs 9.7 months, P=0.974). Group in EGFR exon 21 is longer than group in EGFR exon 19 (12.2 months vs 8.7 months, P=0.303).
Conclusions:
Detection of BIM gene polymorphism in lung cancer patients with EGFR-TKIs treatment might be helpful for predicting prognosis. But a large sample study is needed.
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