Combination immunotherapy for hepatocellular carcinoma

肝细胞癌 医学 免疫疗法 肿瘤科 内科学 癌症研究 癌症
作者
Lorenza Rimassa,Richard S. Finn,Bruno Sangro
出处
期刊:Journal of Hepatology [Elsevier BV]
卷期号:79 (2): 506-515 被引量:288
标识
DOI:10.1016/j.jhep.2023.03.003
摘要

Single-agent immune checkpoint inhibitors (ICIs) have been tested in patients with advanced hepatocellular carcinoma (HCC), leading to objective response rates of 15-20%, mostly without a significant overall survival (OS) benefit. Furthermore, approximately 30% of HCC exhibits intrinsic resistance to ICIs. In the absence of predictive biomarkers to identify patients likely to benefit most from immunotherapy, research has moved to exploring combinations with potential activity in broader patient populations. Basket trials, including cohorts of patients with HCC, and early phase studies tested the combination of ICIs with anti-angiogenic agents as well as the combination of two different ICIs. The promising results that were achieved provided the rationale for the following phase III trials, which tested the combination of anti-PD-1/PD-L1 antibodies with bevacizumab, or tyrosine kinase inhibitors, or anti-CTLA-4 antibodies. Positive results from the IMbrave150 trial led to the practice-changing approval of atezolizumab-bevacizumab, the first regimen to demonstrate improved survival in the front-line setting since the approval of sorafenib. More recently, the HIMALAYA trial demonstrated the superiority of durvalumab-tremelimumab (STRIDE regimen) over sorafenib, establishing a new first-line option. In contrast, inconsistent results have been achieved with combinations of ICIs and tyrosine kinase inhibitors, with only one phase III trial showing an OS benefit. The rapid evolution of the therapeutic landscape for patients with advanced HCC has left many unanswered questions that will need to be addressed by future research. These include the choice and sequencing of treatments, identification of biomarkers, combinations with locoregional therapies, and development of new immunotherapy agents. This review summarises the scientific rationale and available clinical data for combination immunotherapy in advanced HCC.
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
Timmy完成签到,获得积分10
2秒前
Qin应助xwlXWL采纳,获得10
2秒前
wss123发布了新的文献求助10
2秒前
丘比特应助科研通管家采纳,获得10
3秒前
3秒前
我是老大应助科研通管家采纳,获得10
3秒前
4秒前
希望天下0贩的0应助long采纳,获得10
4秒前
科研通AI6.3应助我的Diy采纳,获得10
5秒前
6秒前
rwr发布了新的文献求助10
6秒前
7秒前
魏同学完成签到,获得积分10
7秒前
纯真衬衫完成签到,获得积分10
7秒前
刘家成发布了新的文献求助10
9秒前
j7发布了新的文献求助10
10秒前
孙浩文发布了新的文献求助10
11秒前
任彦蓉完成签到 ,获得积分10
13秒前
顾矜应助圆小异采纳,获得10
13秒前
13秒前
星辰大海应助霸气的香芦采纳,获得10
13秒前
朝歌发布了新的文献求助30
13秒前
开心新儿完成签到,获得积分10
13秒前
14秒前
天天快乐应助sulin采纳,获得10
16秒前
juez完成签到,获得积分10
18秒前
路脚下完成签到 ,获得积分10
19秒前
LEESO发布了新的文献求助10
19秒前
piao41完成签到,获得积分10
22秒前
lv完成签到,获得积分10
26秒前
26秒前
27秒前
27秒前
研友_RLNj6L完成签到 ,获得积分0
28秒前
Hello应助骑在电扇上采纳,获得10
28秒前
29秒前
刘家成完成签到,获得积分20
29秒前
沙尾发布了新的文献求助30
31秒前
31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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357427
求助须知:如何正确求助?哪些是违规求助? 8172109
关于积分的说明 17206892
捐赠科研通 5413117
什么是DOI,文献DOI怎么找? 2864908
邀请新用户注册赠送积分活动 1842353
关于科研通互助平台的介绍 1690526