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...

Full description

Bibliographic Details
Main Authors: Junpeng Wang, Xin Li, Xiaoqiang Wu, Zhiwei Wang, Chan Zhang, Guanghui Cao, Xiaofan Zhang, Feng Peng, Tianzhong Yan
Format: Article
Language:English
Published: Elsevier 2019-09-01
Series:EBioMedicine
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396419305225
id doaj-e3311631e1e344adb67911d3618a6024
record_format Article
spelling 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
work_keys_str_mv AT junpengwang roleofimmunecheckpointinhibitorbasedtherapiesformetastaticrenalcellcarcinomainthefirstlinesettingabayesiannetworkanalysisresearchincontext
AT xinli roleofimmunecheckpointinhibitorbasedtherapiesformetastaticrenalcellcarcinomainthefirstlinesettingabayesiannetworkanalysisresearchincontext
AT xiaoqiangwu roleofimmunecheckpointinhibitorbasedtherapiesformetastaticrenalcellcarcinomainthefirstlinesettingabayesiannetworkanalysisresearchincontext
AT zhiweiwang roleofimmunecheckpointinhibitorbasedtherapiesformetastaticrenalcellcarcinomainthefirstlinesettingabayesiannetworkanalysisresearchincontext
AT chanzhang roleofimmunecheckpointinhibitorbasedtherapiesformetastaticrenalcellcarcinomainthefirstlinesettingabayesiannetworkanalysisresearchincontext
AT guanghuicao roleofimmunecheckpointinhibitorbasedtherapiesformetastaticrenalcellcarcinomainthefirstlinesettingabayesiannetworkanalysisresearchincontext
AT xiaofanzhang roleofimmunecheckpointinhibitorbasedtherapiesformetastaticrenalcellcarcinomainthefirstlinesettingabayesiannetworkanalysisresearchincontext
AT fengpeng roleofimmunecheckpointinhibitorbasedtherapiesformetastaticrenalcellcarcinomainthefirstlinesettingabayesiannetworkanalysisresearchincontext
AT tianzhongyan roleofimmunecheckpointinhibitorbasedtherapiesformetastaticrenalcellcarcinomainthefirstlinesettingabayesiannetworkanalysisresearchincontext
_version_ 1725823834785841152