Transforming Growth Factor-β: A Molecular Target for the Future Therapy of Glioblastoma

免疫疗法 胶质瘤 癌症研究 免疫系统 医学 细胞因子 免疫学 生物
作者
Wolfgang Wick,Ulrike Naumann,Michael Weller
出处
期刊:Current Pharmaceutical Design [Bentham Science Publishers]
卷期号:12 (3): 341-349 被引量:131
标识
DOI:10.2174/138161206775201901
摘要

The median survival of patients with glioblastoma treated by surgery, radiotherapy and chemotherapy is in the range of 12 months. These limits in the efficacy of current treatment modalities call for the development of novel therapeutic approaches targeting the specific biological features of this type of cancer. Glioblastomas are a rich source of immunosuppressive molecules which may interfere with immune recognition and rejection as well as clinical strategies of active immunotherapy. The most prominent glioblastoma-associated immunosuppressant is the cytokine, transforming growth factor (TGF)-beta, a multifunctional cytokine which not only interferes with multiple steps of afferent and efferent immune responses, but also stimulates migration, invasion and angiogenesis. The complex regulation of TGF-beta bioavailability includes its synthesis as a proprotein, proteolytic processing by furin-like proteases, assembly in a latent complex, and finally liberation from latency by multiple effector mechanisms, a process collectively referred to as activation. Several in vitro paradigms and rodent glioma models have been used to demonstrate that the antagonism of TGF-beta holds promise for the treatment of glioblastoma, employing antisense strategies, inhibition of pro-TGF-beta processing, scavenging TGF-beta by decorin, or blocking TGF-beta activity by specific TGF-beta receptor (TGF-betaR) I kinase antagonists. Moreover, the local application of TGF-beta(2) antisense oligonucleotides is currently evaluated in a randomized clinical trial for recurrent malignant glioma. In summary, we propose that TGF-beta-antagonistic treatment strategies are among the most promising of the current innovative approaches for glioblastoma, particularly in conjunction with novel approaches of cellular immunotherapy and vaccination.
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
1秒前
G0zz1完成签到,获得积分10
1秒前
NN发布了新的文献求助30
1秒前
1秒前
JJJ驳回了赘婿应助
1秒前
田様应助歪歪采纳,获得10
1秒前
禧音完成签到,获得积分10
1秒前
哈哈哈哈发布了新的文献求助10
2秒前
淬h完成签到,获得积分10
2秒前
nada发布了新的文献求助10
3秒前
4秒前
FreeRice发布了新的文献求助10
4秒前
科研通AI6.2应助aaaaaa采纳,获得10
4秒前
4秒前
Lee发布了新的文献求助10
5秒前
喝可乐的萝卜兔完成签到 ,获得积分10
5秒前
ChenYifei发布了新的文献求助10
5秒前
科研通AI6.2应助滴滴滴采纳,获得10
5秒前
小苏打完成签到,获得积分10
5秒前
开心完成签到,获得积分10
6秒前
在水一方应助HHHARPER采纳,获得10
6秒前
二哈哈哈哈哈哈完成签到 ,获得积分10
6秒前
6秒前
帅哥发布了新的文献求助10
6秒前
6秒前
6秒前
111完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
666完成签到 ,获得积分10
8秒前
天天快乐应助joe采纳,获得10
8秒前
9秒前
9秒前
优美芝完成签到,获得积分10
9秒前
9秒前
王中秀完成签到,获得积分10
10秒前
llllqqq发布了新的文献求助10
10秒前
彬彬完成签到,获得积分10
10秒前
帝青坤灵完成签到 ,获得积分10
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 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 7248622
求助须知:如何正确求助?哪些是违规求助? 8871430
关于积分的说明 18718325
捐赠科研通 6927791
什么是DOI,文献DOI怎么找? 3198471
关于科研通互助平台的介绍 2373952
邀请新用户注册赠送积分活动 2173173