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Analysis of BIM (BCL-2 like 11 gene) deletion polymorphism in Chinese non-small cell lung cancer patients.
- Source :
-
Thoracic cancer [Thorac Cancer] 2014 Nov; Vol. 5 (6), pp. 509-16. Date of Electronic Publication: 2014 Oct 23. - Publication Year :
- 2014
-
Abstract
- Background: Drug resistance significantly weakens the efficacy of cancer treatment, and the BIM (also known as the BCL2L11 gene) deletion polymorphism has been identified as a potential biomarker for drug resistance. In this retrospective study, we included a total of 290 patients with advanced non-small cell lung cancer (NSCLC) who received treatment with epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) and chemotherapy.<br />Methods: The BIM deletion polymorphism of each patient was detected by polymerase chain reaction. EGFR mutations were detected by denaturing high-performance liquid chromatography methods and the amplification refractory mutation system.<br />Results: The BIM deletion polymorphism was detected in 45/290 (15.5%) Chinese NSCLC patients. No associations were observed between the BIM deletion and clinic-pathologic characteristics of patients. The BIM deletion polymorphism was predictive of shorter progression-free survival in Chinese patients with EGFR-mutant adenocarcinoma and who were treated with EGFR-TKIs (7.30 vs. 9.53 months, P = 0.034). Additionally, we found that the BIM deletion polymorphism was an effective predictor of short progression-free survival in individuals with EGFR-mutant NSCLC and treated with chemotherapy containing pemetrexed (3.32 vs. 5.30, P = 0.012) or second-/beyond-line chemotherapy containing taxanes (1.53 vs. 2.61 months, P = 0.025). The BIM deletion was not correlated with overall survival.<br />Conclusion: The BIM deletion polymorphism occurs in 15.5% of Chinese NSCLC patients, and is a biomarker for resistance to TKIs and chemotherapy. However, BIM deletion was not a decisive factor in overall survival.
Details
- Language :
- English
- ISSN :
- 1759-7706
- Volume :
- 5
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Thoracic cancer
- Publication Type :
- Academic Journal
- Accession number :
- 26767045
- Full Text :
- https://doi.org/10.1111/1759-7714.12119