Efficacy of adjuvant vascular endothelial growth factor receptor (VEGFR) tyrosine kinase inhibitors (VEGFRi) in renal cell carcinoma (RCC): A systematic review and meta-analysis.

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 680-680
Author(s):  
Tobias Engel Ayer Botrel ◽  
Otávio Clark ◽  
Francisco Flávio Horta Bretas ◽  
Marcus V. Sadi ◽  
Ubirajara Ferreira ◽  
...  

680 Background: To perform a systematic review and meta-analysis of all randomized controlled trials (RCTs) comparing the efficacy of adjuvant VEGFRi in locally advanced, non-metastatic clear renal-cell carcinoma (RCC). Methods:Several databases were searched, including MEDLINE, EMBASE, LILACS, and CENTRAL. We included studies that compared the addition of VEGFRi versus placebo, after nephrectomy. Analyzed endpoints were overall survival (OS) and disease-free survival (DFS). The data extracted from the studies were combined by using Hazard Ratio (HR) or Risk Ratio (RR) with their corresponding Confidence Intervals of 95% (CI95%). Results: Overall, 121 references were identified and screened. The final analysis included 5 trials (S-TRAC, ATLAS, ASSURE, PROTECT and SORCE) comprising 6,128 patients that underwent previous nephrectomy for RCC. The DFS was similar in patients who received VEGFRi (fixed effect: HR=0.94, CI95%=0.87 to 1.03; p=0.19), with no heterogeneity (Chi2 = 4.33, df = 5 (P=0.50); I2 = 0%). Overall survival also was not statistically better in patients who received VEGFR inhibitors (HR=1.01, CI95%=0.90 to 1.15; p=0.84), with no heterogeneity (Chi2= 3.57, df = 5 (P=0.61); I2 = 0%). In the final combined analysis of the higher-risk disease group (pT3, pT4, or N+ disease), patients who received VEGFRi had a longer DFS (fixed effect: HR=0.85, CI95%=0.74 to 0.97; p=0.02), with no heterogeneity (Chi2 = 2.46, df = 3 (P=0.48); I2 = 0%). Overall survival was not statistically different for these higher-risk disease patients (fixed effect: HR=0.93, CI95%=0.74 to 1.16; p=0.5). Conclusions: This is the first meta-analysis including the five available RCTs in the literature (the previous meta-analysis reviewed only four), comparing adjuvant VEGFRi versus placebo in patients submitted to nephrectomy with a locally advanced, non-metastatic RCC. Adjuvant VEGFRi did not increase the OS in this group of patients. Amodest benefit of DFS with the use of adjuvant VEGFR inhibitors was restricted to patients with the highest risk of relapse.

Cancer ◽  
2017 ◽  
Vol 124 (5) ◽  
pp. 925-933 ◽  
Author(s):  
Lauren C. Harshman ◽  
Wanling Xie ◽  
Raphael B. Moreira ◽  
Dominick Bossé ◽  
Gustavo J. Ruiz Ares ◽  
...  

Kidney Cancer ◽  
2021 ◽  
pp. 1-12
Author(s):  
Austin G. Kazarian ◽  
Neal S. Chawla ◽  
Ramya Muddasani ◽  
Sumanta K. Pal

In recent years, incredible progress has been made in the treatment of metastatic renal cell carcinoma, with a paradigm shift from the use of cytokines to tyrosine kinase inhibitors, and more recently, immune checkpoint inhibitors (ICIs). Despite advances in the metastatic setting, effective therapies in the adjuvant setting are a largely unmet need. Currently, sunitinib (Sutent, Pfizer) is the only therapy for the adjuvant treatment of RCC included in the National Comprehensive Cancer Network guidelines, which was approved by the FDA based on the improvement in disease-free survival (DFS) seen in the S-TRAC trial. However, improvement in DFS has not translated into an overall survival (OS) benefit for patients at high-risk of relapse post-nephrectomy, illustrating the need for more effective therapies. This manuscript will highlight attributes of both historical and current drug trials and their implications on the landscape of adjuvant therapy. Additionally, we will outline strategies for selecting patients in whom treatment would be most beneficial, as optimal patient selection is a crucial step towards improving outcomes in the adjuvant setting. This is especially critical, given the financial cost and pharmacological toxicity of therapeutic agents. Furthermore, we will review the design of clinical trials including the value of utilizing OS as an endpoint over DFS. Finally, we will discuss how the incorporation of genomic data into predictive models, the use of more sensitive imaging modalities for more accurate staging, and more extensive surgical intervention involving lymph node dissection, may impact outcomes.


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