Angiogenesis is a key process in cancer development. We performed a meta-analysis to assess the efficacy and safety of the novel VEGFR-2 inhibitors in patients with metastatic gastric and gastroesophageal junction cancer. A literature-based meta-analysis of randomized controlled trials (RCTs) was undertaken. The primary outcome was the overall survival. The pooled analysis from RCTs on anti-VEGFR-2 inhibitors revealed a significant increase in overall survival (hazard ratio for death: 0.69, 95% confidence interval: 0.55–0.87; p =.002). This study confirms the efficacy of novel anti-VEGFR-2 inhibitors. The future studies of these agents will evaluate alone and in combination with chemotherapy the early line of treatment along with the identification of proper predictive biomarker.
Roviello, G., Polom, K.R., Roviello, F., Marrelli, D., Multari, A.G., Paganini, G., et al. (2017). Targeting VEGFR-2 in Metastatic Gastric Cancer: Results From a Literature-Based Meta-Analysis. CANCER INVESTIGATION, 35(3), 187-194 [10.1080/07357907.2016.1276185].
Targeting VEGFR-2 in Metastatic Gastric Cancer: Results From a Literature-Based Meta-Analysis
ROVIELLO, GIANDOMENICO;POLOM, KAROL ROMAN;ROVIELLO, FRANCO;MARRELLI, DANIELE;MULTARI, ANDREA GIOVANNI;PAGANINI, GIOVANNI;PACIFICO, CHIARA;
2017-01-01
Abstract
Angiogenesis is a key process in cancer development. We performed a meta-analysis to assess the efficacy and safety of the novel VEGFR-2 inhibitors in patients with metastatic gastric and gastroesophageal junction cancer. A literature-based meta-analysis of randomized controlled trials (RCTs) was undertaken. The primary outcome was the overall survival. The pooled analysis from RCTs on anti-VEGFR-2 inhibitors revealed a significant increase in overall survival (hazard ratio for death: 0.69, 95% confidence interval: 0.55–0.87; p =.002). This study confirms the efficacy of novel anti-VEGFR-2 inhibitors. The future studies of these agents will evaluate alone and in combination with chemotherapy the early line of treatment along with the identification of proper predictive biomarker.
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https://hdl.handle.net/11365/1008681
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