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.
最长约 10秒,即可获得该文献文件

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
1秒前
顾矜应助ddd采纳,获得10
1秒前
小新完成签到,获得积分0
1秒前
涓尘发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
二哈完成签到,获得积分10
3秒前
不舍天真发布了新的文献求助10
3秒前
bkagyin应助hjygzv采纳,获得10
3秒前
mengliCHI完成签到 ,获得积分10
3秒前
3秒前
3秒前
Owen应助F1t272采纳,获得10
4秒前
一直在么么哒完成签到,获得积分10
4秒前
NexusExplorer应助blwy采纳,获得10
5秒前
吕吕发布了新的文献求助10
6秒前
LAOLI完成签到,获得积分20
6秒前
emo小熊完成签到,获得积分10
6秒前
csy完成签到,获得积分10
6秒前
6秒前
遇见完成签到 ,获得积分10
6秒前
7秒前
壮观的书包完成签到,获得积分10
7秒前
7秒前
Zilean完成签到,获得积分10
7秒前
情怀应助暴躁鸡叉骨采纳,获得10
7秒前
liuwy完成签到,获得积分10
7秒前
xue完成签到,获得积分10
7秒前
大个应助名字长丶好记采纳,获得10
8秒前
lulu发布了新的文献求助10
8秒前
量子星尘发布了新的文献求助10
8秒前
小马甲应助iFreedom采纳,获得10
8秒前
juanjuan完成签到,获得积分10
8秒前
科研肺物发布了新的文献求助10
9秒前
英姑应助不安涵山采纳,获得50
9秒前
六七十三发布了新的文献求助10
9秒前
9秒前
9秒前
华仔应助土豪的梦秋采纳,获得10
9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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Modified letrozole versus GnRH antagonist protocols in ovarian aging women for IVF: An Open-Label, Multicenter, Randomized Controlled Trial 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6062618
求助须知:如何正确求助?哪些是违规求助? 7894796
关于积分的说明 16311103
捐赠科研通 5205931
什么是DOI,文献DOI怎么找? 2785052
邀请新用户注册赠送积分活动 1767666
关于科研通互助平台的介绍 1647422