A meta-analysis of safety and efficacy of regorafenib for refractory metastatic colorectal cancer

被引:8
|
作者
Xue, Wu-Song [1 ]
Men, Si-Ye [2 ]
Liu, Wei [1 ]
Liu, Reng-Hai [1 ]
机构
[1] Beijing Univ Chinese Med, Dept Anorectal Surg, Dongfang Hosp, 6 Fang Star PK Zone 1, Beijing, Peoples R China
[2] Beijing Univ Chinese Med, Dept Gen Surg, Dongfang Hosp, Beijing, Peoples R China
关键词
meta-analysis; metastatic colorectal cancer; regorafenib; RANDOMIZED PHASE-III; 1ST-LINE TREATMENT; PLUS IRINOTECAN; BEVACIZUMAB; FLUOROURACIL; LEUCOVORIN; THERAPY; CETUXIMAB; FOLFIRI; CORRECT;
D O I
10.1097/MD.0000000000012635
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Patients with metastatic colorectal cancer (mCRC) often suffer from progressive disease despite previous therapy. It has been a great challenge for those patients. In 2012, regorafenib was approved for mCRC. In this meta-analysis, we aimed to collect and present existing data to explorethe clinical use of regorafenib. Methods: The online electronic databases, such as PubMed, Embase, and the Cochrane library, updated to November 2017 were systematically searched. Trials on the effectiveness of regorafenib in patients who suffer from treatment-refractory metastatic colorectal cancer were included, of which the main outcomes included 3 parameters: overall survival (OS), progression-free survival (PFS), and grade 3/4 AE. Results: Totally, 4 trials were included in this meta-analysis. The OD was significantly better with the use of regorafenib (OR=0.78, 95% CI=0.65-0.94, I-2=69%, P=.008), and PFS (OR=0.52, 95% CI=0.34-0.79, I-2=97%, P=.002). However, the most common toxicities occurred more frequently in the regorafenib group than the control group (OR=3.73, 95% CI=1.68-8.28, I-2=79%, P=.001). Conclusion: Regorafenib demonstrates better efficacy and has manageable adverse-event profile for treatment-refractory mCRC. Considering the safety feature of regorafenib, further studies and clinical trials are warranted to investigate the dosing of regorafenib and alternative approaches are needed to explore predictive biomarker fortherapy selection.
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收藏
页数:6
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