Abstract:
BACKGROUND:Many randomized clinical trials have demonstrated that epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are advantageous over standard chemotherapy, either as front-line treatment or as further management of patients with EGFR mutation-positive non-small-cell lung cancer (NSCLC). However, which subgroup of these patients could benefit more from EGFR-TKIs needs to be further explored. In the present study, we explored the predictive factors in such cohorts of patients who received gefitinib. METHODS:The study included 95 patients with EGFR mutation-positive advanced NSCLC who received gefitinib treatment. Multivariate analysis of progression-free survival (PFS) was performed using classification and regression tree (CART) analysis to assess the effect of specific variables on PFS in subgroups of patients with similar clinical features. RESULTS:The median PFS in patients with EGFR mutation-positive advanced NSCLC who received gefitinib treatment was 13.3 months (95% confidence interval 9.4-17.2). CART analysis showed an initial split on body mass index (BMI); subsequently, three terminal subgroups were formed. The median PFS in the three subsets ranged from 8.2 to 15.2 months, in which the subgroup with a BMI less than or equal to 20.8 kg/m(2) had the longest PFS (15.2 months). In addition, PFS in the EGFR exon 19 mutation group was better than in the other mutation site group (10.3 vs. 8.2 months). CONCLUSIONS:BMI and exon 19 mutation may be predictors of PFS in patients with EGFR mutation-positive advanced NSCLC who receive gefitinib treatment. Both active EGFR mutation and patient-specific factors may be used to predict the therapeutic efficacy of EGFR-TKIs.
journal_name
Thorac Cancerjournal_title
Thoracic cancerauthors
Sun H,Sun X,Zhai X,Guo J,Liu Y,Ying J,Wang Zdoi
10.1111/1759-7714.12275subject
Has Abstractpub_date
2016-01-01 00:00:00pages
61-5issue
1eissn
1759-7706issn
1759-7714pii
TCA12275journal_volume
7pub_type
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