LAG-3 as a Potent Target for Novel Anticancer Therapies of a Wide Range of Tumors

免疫系统 肿瘤微环境 滞后 癌症研究 癌症 单克隆抗体 免疫检查点 生物 免疫疗法 医学 免疫学 抗体 内科学 计算机科学 计算机网络
作者
Natalia Sauer,Wojciech Szlasa,Laura Jonderko,Małgorzata Oślizło,Dominika Kunachowicz,Julita Kulbacka,Katarzyna Karłowicz-Bodalska
出处
期刊:International Journal of Molecular Sciences [Multidisciplinary Digital Publishing Institute]
卷期号:23 (17): 9958-9958 被引量:88
标识
DOI:10.3390/ijms23179958
摘要

LAG-3 (Lymphocyte activation gene 3) protein is a checkpoint receptor that interacts with LSEC-tin, Galectin-3 and FGL1. This interaction leads to reduced production of IL-2 and IFN-γ. LAG-3 is widely expressed in different tumor types and modulates the tumor microenvironment through immunosuppressive effects. Differential expression in various tumor types influences patient prognosis, which is often associated with coexpression with immune checkpoint inhibitors, such as TIM-3, PD-1 and CTLA-4. Here, we discuss expression profiles in different tumor types. To date, many clinical trials have been conducted using LAG-3 inhibitors, which can be divided into anti-LAG-3 monoclonal antibodies, anti-LAG-3 bispecifics and soluble LAG-3-Ig fusion proteins. LAG-3 inhibitors supress T-cell proliferation and activation by disallowing for the interaction between LAG-3 to MHC-II. The process enhances anti-tumor immune response. In this paper, we will review the current state of knowledge on the structure, function and expression of LAG-3 in various types of cancer, as well as its correlation with overall prognosis, involvement in cell-based therapies and experimental medicine. We will consider the role of compounds targeting LAG-3 in clinical trials both as monotherapy and in combination, which will provide data relating to the efficacy and safety of proposed drug candidates.
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
xiangjinmao完成签到,获得积分10
刚刚
顾矜应助科研的牲口采纳,获得10
1秒前
邢yun完成签到 ,获得积分10
1秒前
LL发布了新的文献求助10
2秒前
小菜鸟发布了新的文献求助10
4秒前
今后应助warithy采纳,获得10
5秒前
南茶北暖完成签到,获得积分10
6秒前
6秒前
程志鹏完成签到,获得积分10
6秒前
Gary发布了新的文献求助10
6秒前
8秒前
科研通AI6.3应助zkq采纳,获得30
9秒前
9秒前
微笑的外绣完成签到,获得积分10
10秒前
10秒前
poas应助诚心的青荷采纳,获得10
10秒前
Wjian2026完成签到 ,获得积分10
11秒前
11秒前
12秒前
独岚完成签到,获得积分10
12秒前
科研通AI6.4应助Gary采纳,获得10
13秒前
13秒前
13秒前
linxt发布了新的文献求助10
13秒前
敏感凌翠完成签到,获得积分10
14秒前
酷波er应助白下江宁采纳,获得10
14秒前
15秒前
Akim应助SL采纳,获得10
16秒前
佘颜均发布了新的文献求助10
16秒前
里脊肉发布了新的文献求助10
17秒前
Au_发布了新的文献求助10
18秒前
xiangjinmao发布了新的文献求助10
18秒前
lpp发布了新的文献求助10
18秒前
汉堡包应助包钰韬采纳,获得10
18秒前
19秒前
19秒前
19秒前
Bake完成签到,获得积分10
19秒前
20秒前
嘻嘻发布了新的文献求助30
22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
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 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 7577314
求助须知:如何正确求助?哪些是违规求助? 9156853
关于积分的说明 19589716
捐赠科研通 7160980
什么是DOI,文献DOI怎么找? 3265300
关于科研通互助平台的介绍 2430249
邀请新用户注册赠送积分活动 2255928