New first-line immunotherapy-based combinations for metastatic renal cell carcinoma: A systematic review and network meta-analysis

医学 卡波扎尼布 肾细胞癌 荟萃分析 肿瘤科 内科学 彭布罗利珠单抗 系统回顾 无容量 梅德林 不利影响 随机对照试验 免疫疗法 癌症 政治学 法学
作者
Pasquale Lombardi,Marco Filetti,Rosa Falcone,Rossella Di Bidino,Roberto Iacovelli,Chiara Ciccarese,Emilio Bria,Giampaolo Tortora,Giovanni Scambia,Gennaro Daniele
出处
期刊:Cancer Treatment Reviews [Elsevier]
卷期号:106: 102377-102377 被引量:14
标识
DOI:10.1016/j.ctrv.2022.102377
摘要

Several first-line immune-checkpoints inhibitors (ICI) based combinations have been studied in metastatic renal cell carcinoma (mRCC) without any direct comparison between the regimens. The objective of this systematic review and network meta-analysis was to provide the most updated evidence about the preferred first line ICI-based regimen for mRCC. We searched various databases, including PubMed, Web of Science and Scopus and the major conference proceedings (ASCO, ESMO). Eligible studies were randomized trial, published before June 2021 that evaluated first-line, ICI-based combinations compared with the standard of care in mRCC. Screening was performed independently by two investigators. A Cochrane risk-of-bias tool was used to assess trial quality. Relative effects of competing treatments were assessed by Bayesian network meta-analysis. The Preferred Reporting Items for Systematic Reviews and Meta-analyses guideline was used. Outcomes included overall survival (OS), progression-free survival (PFS), overall response rate, complete response and adverse events. Six trials with 5478 patients comparing 7 treatments were identified. Network meta-analysis showed that lenvatinib plus pembrolizumab had the highest probability to be the best treatment in terms of OS (surface under the cumulative ranking (SUCRA) 80.7%) and PFS (SUCRA 99.6%), while in sarcomatoid patients, nivolumab plus cabozantinib had the highest rank in terms of survival outcomes (SUCRA 85.8% and SUCRA 77.3%, respectively). Although we established a ranking among new first-line mRCC treatment combinations, the absence of direct comparisons between the multiple treatment options represents a major hurdle in establishing optimal therapeutic sequences. Our results could represent a starting point for head-to-head trials between the most promising combinations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
123123123完成签到,获得积分10
刚刚
lilianan发布了新的文献求助10
2秒前
3秒前
晴心发布了新的文献求助10
3秒前
爱睡觉的猪完成签到,获得积分20
5秒前
微笑糖豆完成签到 ,获得积分10
5秒前
zzululu2024发布了新的文献求助10
7秒前
量子星尘发布了新的文献求助10
9秒前
10秒前
10秒前
善学以致用应助季文婷采纳,获得10
10秒前
一颗荔枝完成签到,获得积分10
11秒前
Hello应助晴心采纳,获得10
11秒前
自觉的曼梅完成签到,获得积分20
16秒前
17秒前
密西西比he完成签到,获得积分10
18秒前
王机智完成签到,获得积分10
18秒前
李爱国应助Tigher采纳,获得30
20秒前
20秒前
20秒前
在水一方应助keyantong采纳,获得10
22秒前
愉快的牛氓完成签到 ,获得积分10
22秒前
23秒前
24秒前
24秒前
大脸猫发布了新的文献求助10
25秒前
科研通AI2S应助王机智采纳,获得10
25秒前
烂漫的铭完成签到,获得积分10
26秒前
QQ完成签到,获得积分10
26秒前
27秒前
齐艺茗完成签到,获得积分10
27秒前
28秒前
29秒前
30秒前
31秒前
32秒前
33秒前
季文婷发布了新的文献求助10
33秒前
秘书完成签到,获得积分10
33秒前
都找到了发布了新的文献求助10
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
Psychology of Self-Regulation 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5638000
求助须知:如何正确求助?哪些是违规求助? 4744481
关于积分的说明 15000910
捐赠科研通 4796182
什么是DOI,文献DOI怎么找? 2562369
邀请新用户注册赠送积分活动 1521868
关于科研通互助平台的介绍 1481741