Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysisResearch in context
Background: Several novel immune checkpoint inhibitor (ICI)-based treatments exhibited promising survival benefits for metastatic renal cell carcinoma (mRCC), yet there is no current guidance regarding the optimum first-line regimen. We performed this network analysis to compare the efficacy and saf...
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doaj-e3311631e1e344adb67911d3618a60242020-11-24T22:06:25ZengElsevierEBioMedicine2352-39642019-09-01477888Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysisResearch in contextJunpeng Wang0Xin Li1Xiaoqiang Wu2Zhiwei Wang3Chan Zhang4Guanghui Cao5Xiaofan Zhang6Feng Peng7Tianzhong Yan8Department of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, ChinaDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, ChinaDepartment of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, ChinaDepartment of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, ChinaDepartment of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, ChinaDepartment of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, ChinaDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, ChinaDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, ChinaDepartment of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, China; Corresponding author.Background: Several novel immune checkpoint inhibitor (ICI)-based treatments exhibited promising survival benefits for metastatic renal cell carcinoma (mRCC), yet there is no current guidance regarding the optimum first-line regimen. We performed this network analysis to compare the efficacy and safety of all available treatments for mRCC. Methods: A systematic search of literature was conducted up to April 30, 2019, and the analysis was done on a Bayesian fixed-effect model. Findings: Twenty-five randomized clinical trials (RCTs) involving 13,010 patients were included in this study. The results showed that for overall survival, pembrolizumab plus axitinib (hazard ratio [HR]: 0.53; 95% credible interval [CrI]: 0.38–0.73) and nivolumab plus ipilimumab (HR: 0.63; 95% CrI: 0.50–0.79) were significantly more effective than sunitinib, and pembrolizumab plus axitinib was probably (68%) to be the best choice. For progression-free survival, cabozantinib (HR: 0.66; 95% CrI: 0.46–0.94), pembrolizumab plus axitinib (HR: 0.69; 95% CrI: 0.57–0.84), avelumab plus axitinib (HR: 0.69; 95% CrI: 0.56–0.85), nivolumab plus ipilimumab (HR: 0.82; 95% CrI: 0.68–0.99), and atezolizumab plus bevacizumab (HR: 0.86; 95% CrI: 0.74–0.99) were statistically superior to sunitinib, and cabozantinib was likely (43%) to be the preferred options. Nivolumab plus ipilimumab (OR: 0.50; 95% CrI: 0.28–0.84), and atezolizumab plus bevacizumab (OR: 0.56; 95% CrI: 0.36–0.83) were associated with significantly lower rate of high-grade adverse events than sunitinib. Interpretation: Our findings demonstrate that pembrolizumab plus axitinib might be the best treatment for mRCC, while nivolumab plus ipilimumab has the most favorable balance between efficacy and acceptability, and may provide new guidance to make treatment decisions. Fund: This research was supported by the Henan Provincial Scientific and Technological Research Project (Grant No. 192102310036). Keywords: Renal cell carcinoma, First-line systemic therapies, Immune checkpoint inhibitor, Efficacy, Safetyhttp://www.sciencedirect.com/science/article/pii/S2352396419305225 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Junpeng Wang Xin Li Xiaoqiang Wu Zhiwei Wang Chan Zhang Guanghui Cao Xiaofan Zhang Feng Peng Tianzhong Yan |
spellingShingle |
Junpeng Wang Xin Li Xiaoqiang Wu Zhiwei Wang Chan Zhang Guanghui Cao Xiaofan Zhang Feng Peng Tianzhong Yan Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysisResearch in context EBioMedicine |
author_facet |
Junpeng Wang Xin Li Xiaoqiang Wu Zhiwei Wang Chan Zhang Guanghui Cao Xiaofan Zhang Feng Peng Tianzhong Yan |
author_sort |
Junpeng Wang |
title |
Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysisResearch in context |
title_short |
Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysisResearch in context |
title_full |
Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysisResearch in context |
title_fullStr |
Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysisResearch in context |
title_full_unstemmed |
Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysisResearch in context |
title_sort |
role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: a bayesian network analysisresearch in context |
publisher |
Elsevier |
series |
EBioMedicine |
issn |
2352-3964 |
publishDate |
2019-09-01 |
description |
Background: Several novel immune checkpoint inhibitor (ICI)-based treatments exhibited promising survival benefits for metastatic renal cell carcinoma (mRCC), yet there is no current guidance regarding the optimum first-line regimen. We performed this network analysis to compare the efficacy and safety of all available treatments for mRCC. Methods: A systematic search of literature was conducted up to April 30, 2019, and the analysis was done on a Bayesian fixed-effect model. Findings: Twenty-five randomized clinical trials (RCTs) involving 13,010 patients were included in this study. The results showed that for overall survival, pembrolizumab plus axitinib (hazard ratio [HR]: 0.53; 95% credible interval [CrI]: 0.38–0.73) and nivolumab plus ipilimumab (HR: 0.63; 95% CrI: 0.50–0.79) were significantly more effective than sunitinib, and pembrolizumab plus axitinib was probably (68%) to be the best choice. For progression-free survival, cabozantinib (HR: 0.66; 95% CrI: 0.46–0.94), pembrolizumab plus axitinib (HR: 0.69; 95% CrI: 0.57–0.84), avelumab plus axitinib (HR: 0.69; 95% CrI: 0.56–0.85), nivolumab plus ipilimumab (HR: 0.82; 95% CrI: 0.68–0.99), and atezolizumab plus bevacizumab (HR: 0.86; 95% CrI: 0.74–0.99) were statistically superior to sunitinib, and cabozantinib was likely (43%) to be the preferred options. Nivolumab plus ipilimumab (OR: 0.50; 95% CrI: 0.28–0.84), and atezolizumab plus bevacizumab (OR: 0.56; 95% CrI: 0.36–0.83) were associated with significantly lower rate of high-grade adverse events than sunitinib. Interpretation: Our findings demonstrate that pembrolizumab plus axitinib might be the best treatment for mRCC, while nivolumab plus ipilimumab has the most favorable balance between efficacy and acceptability, and may provide new guidance to make treatment decisions. Fund: This research was supported by the Henan Provincial Scientific and Technological Research Project (Grant No. 192102310036). Keywords: Renal cell carcinoma, First-line systemic therapies, Immune checkpoint inhibitor, Efficacy, Safety |
url |
http://www.sciencedirect.com/science/article/pii/S2352396419305225 |
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