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:154
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
_十三完成签到,获得积分10
1秒前
美满的晓丝完成签到,获得积分10
1秒前
小静静完成签到,获得积分20
1秒前
研友_Lw7MKL完成签到,获得积分10
2秒前
五博完成签到,获得积分20
2秒前
2秒前
3秒前
ff_ng77完成签到,获得积分10
3秒前
解冰珍发布了新的文献求助10
4秒前
myb完成签到,获得积分10
4秒前
感动的便当完成签到,获得积分10
4秒前
LADY应助美满的晓丝采纳,获得10
4秒前
4秒前
4秒前
5秒前
hxm完成签到,获得积分10
5秒前
奶桃七七发布了新的文献求助10
6秒前
善学以致用应助Wangyn采纳,获得10
6秒前
Cluneeeee应助Rixxed采纳,获得40
6秒前
所所应助bbbus采纳,获得10
8秒前
9秒前
39hpl完成签到,获得积分20
9秒前
9秒前
牛奶牛奶发布了新的文献求助10
9秒前
zkf发布了新的文献求助10
9秒前
10秒前
10秒前
聪明的傲白完成签到,获得积分10
10秒前
11秒前
11秒前
xtt发布了新的文献求助20
12秒前
39hpl发布了新的文献求助10
12秒前
碧蓝亦玉完成签到,获得积分10
12秒前
小二郎应助平淡夏山采纳,获得10
14秒前
解冰珍完成签到,获得积分10
14秒前
15秒前
顾矜应助顶刊刺客cc采纳,获得10
15秒前
只要平凡发布了新的文献求助10
15秒前
淡淡萃完成签到,获得积分10
15秒前
充电宝应助JF123_采纳,获得10
15秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Images that translate 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3842341
求助须知:如何正确求助?哪些是违规求助? 3384447
关于积分的说明 10534846
捐赠科研通 3104952
什么是DOI,文献DOI怎么找? 1709863
邀请新用户注册赠送积分活动 823415
科研通“疑难数据库(出版商)”最低求助积分说明 774059