MAGE-A antigens as targets for cancer immunotherapy

免疫疗法 医学 癌症 表位 癌症免疫疗法 抗原 MHC I级 癌症研究 单克隆抗体 癌细胞 结直肠癌 主要组织相容性复合体 免疫学 抗体 内科学
作者
Erik van Schooten,Alessia Di Maggio,Paul M.P. van Bergen en Henegouwen,Marta M. Kijanka
出处
期刊:Cancer Treatment Reviews [Elsevier BV]
卷期号:67: 54-62 被引量:62
标识
DOI:10.1016/j.ctrv.2018.04.009
摘要

Targeted anti-cancer therapies aim at reducing side effects while retaining their anti-cancer efficacy. Immunotherapies e.g. monoclonal antibodies, adoptive T cell therapy and cancer vaccines are used to combat cancer, but the number of available cancer specific targets is limited and new approaches are needed to generate more effective and patient tailored treatments. Unique cancer intracellular epitopes can be presented on the cell surface by MHC class I molecules, which can function as epitopes for targeted therapies. The intracellular MAGE proteins belong to a sub-class of Cancer Testis (CT) antigens which are expressed in germline cells and a wide variety of tumors of different histological origin. Evidence has emerged that their expression is linked to pro-tumorigenic activities like increased cell motility, resisting cell death, and tumor promoting inflammation. Intracellular MAGE proteins are processed by the proteasome and their peptides are presented by MHC class I molecules on the cell surface of cancer cells thereby making them ideal cancer specific antigens. Here we review the previous and ongoing (pre-) clinical studies on the use of surface expressed MAGE antigens for their employment in targeted anti-cancer therapies. We present and analyze study outcomes and discuss possible future directions and improvements for MAGE directed anti-cancer immunotherapies.

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
王wang完成签到 ,获得积分10
刚刚
莹Y完成签到,获得积分10
刚刚
十月发布了新的文献求助10
1秒前
害怕的白竹完成签到 ,获得积分10
1秒前
平常从蓉完成签到,获得积分10
1秒前
夏彦的华生小姐完成签到,获得积分10
2秒前
DQQ完成签到,获得积分10
2秒前
简单的可乐完成签到,获得积分10
2秒前
2秒前
weekbbg完成签到,获得积分10
3秒前
幸福诗槐完成签到,获得积分10
3秒前
天真的雨完成签到,获得积分10
3秒前
奔跑石小猛完成签到,获得积分10
3秒前
共享精神应助lll采纳,获得10
3秒前
张德帅完成签到,获得积分10
3秒前
3秒前
成长的点滴完成签到,获得积分10
4秒前
讲座梅郎完成签到,获得积分10
5秒前
5秒前
Nyquist完成签到,获得积分10
5秒前
無名完成签到,获得积分10
6秒前
无花果应助鸢尾采纳,获得10
6秒前
7秒前
谦让谷菱完成签到,获得积分10
7秒前
7秒前
小蘑菇应助minsu采纳,获得10
8秒前
sciq完成签到,获得积分10
8秒前
8秒前
8秒前
Owen应助KK采纳,获得10
8秒前
CHL5722发布了新的文献求助20
8秒前
8秒前
momo完成签到,获得积分10
9秒前
过时的沛槐完成签到,获得积分10
9秒前
9秒前
000发布了新的文献求助10
9秒前
lan完成签到,获得积分10
9秒前
3719left完成签到,获得积分10
10秒前
Elijah完成签到 ,获得积分10
11秒前
lumi完成签到,获得积分10
11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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 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 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 6498665
求助须知:如何正确求助?哪些是违规求助? 8294460
关于积分的说明 17698683
捐赠科研通 5594811
什么是DOI,文献DOI怎么找? 2917706
邀请新用户注册赠送积分活动 1894733
关于科研通互助平台的介绍 1755396