Tyrosine kinase inhibitor combination therapy in first-line treatment of non-small-cell lung cancer: systematic review and network meta-analysis

被引:42
|
作者
Batson, Sarah [1 ]
Mitchell, Stephen A. [1 ]
Windisch, Ricarda [2 ]
Damonte, Elisabetta [2 ]
Munk, Veronica C. [2 ]
Reguart, Noemi [3 ,4 ]
机构
[1] DRG Abacus, 6 Talisman Business Ctr, Bicester OX26 6HR, Oxon, England
[2] F Hoffmann La Roche Ltd, Basel, Switzerland
[3] Hosp Clin Barcelona, Med Oncol, Barcelona, Spain
[4] IDIBAPS, Translat Genom & Targeted Therapeut Solid Tumors, Barcelona, Spain
来源
ONCOTARGETS AND THERAPY | 2017年 / 10卷
关键词
bevacizumab; epidermal growth factor receptor tyrosine kinase inhibitor; network meta-analysis; non-small-cell lung cancer; non-squamous; progression-free survival; GROWTH-FACTOR RECEPTOR; QUALITY-OF-LIFE; RANDOMIZED PHASE-II; OPEN-LABEL; EGFR INHIBITOR; CARBOPLATIN-PACLITAXEL; ASIAN PATIENTS; SURVIVAL-DATA; ERLOTINIB; CHEMOTHERAPY;
D O I
10.2147/OTT.S134382
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Introduction: The introduction of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) has improved the outlook for patients with advanced non-small-cell lung cancer (NSCLC) with EGFR+ mutations. However, most patients develop resistance, with the result that median progression-free survival (PFS) is similar to 12 months. Combining EGFR-TKIs with other agents, such as bevacizumab, is a promising approach to prolonging remission. This systematic review and network meta-analysis (NMA) were undertaken to assess available evidence regarding the benefits of first-line combination therapy involving EGFR-TKIs in patients with advanced NSCLC. Methods: Literature searches were performed using relevant search terms. Study-level pseudoindividual patient-level data (IPD) were recreated from digitized Kaplan-Meier curve data, using a published algorithm. Study IPD were analyzed using both the proportional hazards and the acceleration failure time (AFT) survival models, and it was concluded that the AFT model was most appropriate. An NMA was performed based on acceleration factors (AFs) using a Bayesian framework to compare EGFR-TKIs and chemotherapy. Results: Nine randomized controlled trials were identified that provided data for EGFR-TKI therapy in patients with EGFR+ tumors. These included studies of afatinib (n=3), erlotinib (n=3), erlotinib plus bevacizumab (n=1) and gefitinib (n=2). Erlotinib plus bevacizumab produced the greatest increase in PFS compared with chemotherapy, with 1/AF being 0.24 (95% credible interval [CrI] 0.17, 0.34). This combination also produced greater increases in PFS compared with EGFR-TKI monotherapy: 1/AF versus afatinib, 0.51 (95% CrI 0.35, 0.73); versus erlotinib, 0.53 (95% CrI 0.39, 0.72) and versus gefitinib, 0.46 (95% CrI 0.32, 0.66). All three EGFR-TKI monotherapies prolonged PFS compared with chemotherapy; estimates of treatment effect ranged from 1/AF 0.53 (95% CrI 0.48, 0.60) for gefitinib to 1/AF 0.46 (95% CrI 0.40, 0.53) for erlotinib. There was no evidence for differences between EGFR-TKI monotherapies, as all 95% CrIs included the null value. Conclusion: Although data for erlotinib plus bevacizumab came from a single Phase 2 study, the results of the NMA suggest that adding bevacizumab to erlotinib may be a promising approach to improving the outcomes achieved with EGFR-TKI monotherapy in patients with advanced EGFR+ NSCLC.
引用
收藏
页码:2473 / 2482
页数:10
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