The emerging role of lymphocyte‐activation gene 3 targeting in the treatment of solid malignancies

无容量 易普利姆玛 医学 黑色素瘤 不利影响 免疫系统 免疫疗法 癌症研究 药理学 免疫学 肿瘤科
作者
Vinay K. Giri,David H. McDermott,Jacob P. Zaemes
出处
期刊:Cancer [Wiley]
卷期号:131 (10): e35892-e35892 被引量:4
标识
DOI:10.1002/cncr.35892
摘要

PD-(L)1-based immune checkpoint inhibitor therapies have profoundly impacted the treatment of many solid malignancies. Although the addition of CTLA-4 checkpoint inhibitors can enhance anticancer activity, it also significantly increases the rate of immune-related adverse events. Therefore, there has been much interest in identifying additional immune checkpoints to improve the outcomes seen with PD-1-based therapy while minimizing additional side effects. One such target, lymphocyte-activation gene 3 (LAG-3), has long been recognized as an important inhibitor of T-cell function via modulation of the T-cell receptor pathway. Several drugs targeting LAG-3 have been developed, including most prominently the monoclonal antibody relatlimab. To date, the most significant demonstration of efficacy in targeting LAG-3 has been the use of relatlimab with the PD-1 inhibitor nivolumab in the treatment of advanced melanoma. The combination of nivolumab plus relatlimab is more efficacious compared to PD-1 inhibition alone, as has been previously seen with the combination of CTLA-4 inhibitor ipilimumab with nivolumab. However, nivolumab plus relatlimab offers a potentially more favorable toxicity profile. Here, the authors review the mechanism of the LAG-3 pathway and its rationale as a target for anticancer therapy as well as currently available data regarding the use of LAG-3 agents in treating melanoma and other solid tumors. Other investigational agents that target LAG-3 via novel mechanisms are also reviewed.
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
刚刚
Amagi完成签到,获得积分20
刚刚
刚刚
陈晨关注了科研通微信公众号
刚刚
一目发布了新的文献求助10
刚刚
刚刚
爱撒娇的映天完成签到 ,获得积分10
1秒前
mannich发布了新的文献求助10
1秒前
mannich发布了新的文献求助10
1秒前
mannich发布了新的文献求助10
1秒前
mannich发布了新的文献求助10
1秒前
mannich发布了新的文献求助10
1秒前
2秒前
SciGPT应助duoduo采纳,获得10
2秒前
青椒肉丝完成签到,获得积分10
3秒前
得到发布了新的文献求助10
3秒前
脑洞疼应助负责的归尘采纳,获得10
3秒前
觉皇发布了新的文献求助10
4秒前
尹鹏发布了新的文献求助10
4秒前
少吃甜多健身完成签到,获得积分10
4秒前
忆那夏发布了新的文献求助10
4秒前
5秒前
5秒前
Horizon发布了新的文献求助10
6秒前
tasaf发布了新的文献求助30
7秒前
CipherSage应助SallyneFit采纳,获得30
7秒前
小马甲应助Garland采纳,获得10
8秒前
乐观稀发布了新的文献求助10
8秒前
8秒前
lasak完成签到,获得积分10
8秒前
manjusaka发布了新的文献求助10
8秒前
牛马完成签到 ,获得积分10
8秒前
9秒前
yesyoung应助尹鹏采纳,获得10
9秒前
张欢馨应助酷酷从凝采纳,获得10
9秒前
9秒前
10秒前
wanci应助yinai采纳,获得10
10秒前
10秒前
LXX-k完成签到,获得积分10
11秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7582940
求助须知:如何正确求助?哪些是违规求助? 9161740
关于积分的说明 19604510
捐赠科研通 7165027
什么是DOI,文献DOI怎么找? 3266199
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257504