易普利姆玛
免疫系统
无容量
免疫疗法
彭布罗利珠单抗
机制(生物学)
生物
癌症免疫疗法
效应器
免疫检查点
信号转导
癌症
细胞信号
免疫学
癌症研究
计算生物学
细胞生物学
遗传学
哲学
认识论
作者
Shreyas Gaikwad,Manas Yogendra Agrawal,Itishree Kaushik,Sharavan Ramachandran,Sanjay Srivastava
标识
DOI:10.1016/j.semcancer.2022.03.014
摘要
Immune checkpoint proteins (ICP) are currently one of the most novel and promising areas of immune-oncology research. This novel way of targeting tumor cells has shown favorable success over the past few years with some FDA approvals such as Ipilimumab, Nivolumab, Pembrolizumab etc. Currently, more than 3000 clinical trials of immunotherapeutic agents are ongoing with majority being ICPs. However, as the number of trials increase so do the challenges. Some challenges such as adverse side effects, non-specific binding on healthy tissues and absence of response in some subset populations are critical obstacles. For a safe and effective further therapeutic development of molecules targeting ICPs, understanding their mechanism at molecular level is crucial. Since ICPs are mostly membrane bound receptors, a number of downstream signaling pathways divaricate following ligand-receptor binding. Most ICPs are expressed on more than one type of immune cell populations. Further, the expression varies within a cell type. This naturally varied expression pattern adds to the difficulty of targeting specific effector immune cell types against cancer. Hence, understanding the expression pattern and cellular mechanism helps lay out the possible effect of any immunotherapy. In this review, we discuss the signaling mechanism, expression pattern among various immune cells and molecular interactions derived using interaction database analysis (BioGRID).
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