Suppr超能文献

肿瘤神经节苷脂与T细胞:致命相遇

Tumor gangliosides and T cells: a deadly encounter.

作者信息

Hossain Dewan Md Sakib, Mohanty Suchismita, Ray Pallab, Das Tanya, Sa Gaurisankar

机构信息

Division of Molecular Medicine, Bose Institute, P-1/12, CIT Scheme VII M, Kolkata, India.

出版信息

Front Biosci (Schol Ed). 2012 Jan 1;4(2):502-19. doi: 10.2741/s281.

Abstract

Despite major advances in understanding the mechanisms of tumor immunity, its successful translation into effective tumor immunotherapy is hindered by the ability of tumors to foster a tolerant microenvironment and to activate a plethora of immunosuppressive mechanisms. Among different strategies employed by tumors to thwart immune responses, shedding of immunosuppressive molecules, such as sialic acid-containing glycosphingolipids, gangliosides, by the tumor is one important strategy. Aberrant and elevated expression of gangliosides has been demonstrated on the surface of cancer cells. Here we discuss about the molecular mechanisms underneath the contribution of tumor gangliosides in targeting multiple steps of T cell response. We shall also underscore the contribution of T-regulatory, NK and dendritic cells in this immunosuppressive network. Inhibitory effects of gangliosides ultimately converge to T cell apoptosis in receptor-dependent and -independent manners via IL-2 deprivation, ROS production, cytochrome c release, NFkappaB inhibition and caspase activation. Current wealth of information promises a future scenario in which synchronized blockade of immunosuppressive mechanisms and removal of inhibitory signals might be effective in overcoming immunological tolerance and promoting tumor regression.

摘要

尽管在理解肿瘤免疫机制方面取得了重大进展,但肿瘤形成耐受微环境并激活多种免疫抑制机制的能力阻碍了其成功转化为有效的肿瘤免疫疗法。在肿瘤用来对抗免疫反应的不同策略中,肿瘤释放免疫抑制分子,如含唾液酸的糖鞘脂、神经节苷脂,是一种重要策略。神经节苷脂在癌细胞表面的异常高表达已得到证实。在此,我们讨论肿瘤神经节苷脂在靶向T细胞反应多个步骤中的作用背后的分子机制。我们还将强调T调节细胞、自然杀伤细胞和树突状细胞在这个免疫抑制网络中的作用。神经节苷脂的抑制作用最终通过白细胞介素-2剥夺、活性氧产生、细胞色素c释放、核因子κB抑制和半胱天冬酶激活,以受体依赖和非依赖的方式导致T细胞凋亡。目前丰富的信息预示着未来的一种情景,即同步阻断免疫抑制机制和去除抑制信号可能有效地克服免疫耐受并促进肿瘤消退。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验