Dataset Information

Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysis.

ABSTRACT:

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).

SUBMITTER: Wang J

PROVIDER: S-EPMC6796578 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Publications

Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysis.

Wang Junpeng J Li Xin X Wu Xiaoqiang X Wang Zhiwei Z Zhang Chan C Cao Guanghui G Zhang Xiaofan X Peng Feng F Yan Tianzhong T

EBioMedicine 20190819

<h4>Background</h4>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.<h4>Methods</h4>A systematic search of literature was conducted up to April 30, 2019, and the analysis was done on a Bayesian fixed-effect model.<h4>Fin ...[more]

PMID: 31439476

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Project description:BackgroundThe optimal first-line immune checkpoint inhibitor (ICI) treatment strategy for metastatic or early triple-negative breast cancer (TNBC) has not yet been determined as a result of various randomized controlled trials (RCTs). The purpose of this study was to compare the efficacy and safety of ICIs in patients with metastatic or early TNBC.MethodsRCTs comparing the efficacy and safety of ICIs in patients with TNBC were included in the studies. Based on PRISMA guidelines, we estimated pooled hazard ratios (HRs) and odds ratios (ORs) using random-effects models of Bayesian network meta-analysis. Primary outcomes were progression-free survival (PFS) and overall survival (OS). Secondary outcomes included pathologic complete response rate (pCR), grade ≥ 3 treatment-related adverse events (trAEs), immune-related adverse events (irAEs), and grade ≥ 3 irAEs.ResultsThe criteria for eligibility were met by a total of eight RCTs involving 4,589 patients with TNBC. When ICIs were used in patients without programmed death-ligand 1 (PD-L1) selection, there was a trend toward improved PFS, OS, and pCR, without significant differences. Pembrolizumab plus chemotherapy is superior to other treatment regimens in terms of survival for TNBC patients based on Bayesian ranking profiles. Subgroup analysis by PD-L1 positive population indicated similar results, and atezolizumab plus chemotherapy provided better survival outcomes. Among grade ≥ 3 trAEs and any grade irAEs, there was no statistically significant difference among different ICI agents. The combination of ICIs with chemotherapy was associated with a higher incidence of grade ≥ 3 irAEs. Based on rank probability, the ICI plus chemotherapy group was more likely to be associated with grade ≥ 3 trAEs, any grade irAEs, and grade ≥ 3 irAEs. Hypothyroidism and hyperthyroidism were the most frequent irAEs in patients receiving ICI.ConclusionsICI regimens had relatively greater efficacy and safety profile. Pembrolizumab plus chemotherapy and atezolizumab plus chemotherapy seem to be superior first-line treatments for intention-to-treat and PD-L1-positive TNBC patients, respectively. It may be useful for making clinical decisions to evaluate the efficacy and safety of different ICIs based on our study.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022354643.

Project description:IntroductionAtezolizumab (ATEZO) plus bevacizumab (BEVA) represents the new standard of care for the treatment of advanced hepatocellular carcinoma (HCC). However, the choice of the second-line treatment after the failure of immunotherapy-based first-line remains elusive. Taking into account the weaknesses of the available evidence, we developed a simulation model based on available phase III randomized clinical trials (RCTs) to identify optimal risk/benefit sequential strategies.MethodsA Markov model was built to estimate the overall survival (OS) of sequential first- and second-line systemic treatments. Sequences starting with first-line ATEZO plus BEVA followed by 5 second-line treatments (sorafenib [SORA], lenvatinib [LENVA], regorafenib, cabozantinib, and ramucirumab) were compared. The probability of transition between states (initial treatment, cancer progression, and death) was derived from RCTs. Life-year gained (LYG) was the main outcome. Rates of severe adverse events (SAEs) (≥ grade 3) were calculated. The incremental safety-effectiveness ratio (ISER) was calculated as the difference in probability of SAEs divided by LYG between the 2 most effective sequences.ResultsATEZO plus BEVA followed by LENVA (median OS, 24 months) or SORA (median OS, 23 months) was the most effective sequence, producing a LYG of 0.50 and 0.42 year, respectively. ATEZO plus BEVA followed by SORA was the safest sequence (SAEs 63%). At a willingness-to-risk threshold of 10% of SAEs for LYG, ATEZO plus BEVA followed by second-line SORA was favored in 72% of cases, while at a threshold of 30% of SAEs for LYG, ATEZO plus BEVA followed by second-line LENVA was favored in 69% of cases.ConclusionOur simulation model provides a strong rationale to support ongoing trials evaluating second-line tyrosine-kinase inhibitors after first-line ATEZO plus BEVA. Future evidence from ongoing RCTs and prospective real-world studies are needed to prove the net health benefit of sequential treatment options for advanced HCC.

Dataset Information

Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysis.

Background

Methods

Findings

Interpretation

Publications

Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysis.

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