Suppr超能文献

CD133,选择性靶向癌症根源

CD133, Selectively Targeting the Root of Cancer.

作者信息

Schmohl Jörg U, Vallera Daniel A

机构信息

University of Minnesota Masonic Cancer Center, Section of Molecular Cancer Therapeutics, Therapeutic Radiology-Radiation Oncology, University of Minnesota, Minneapolis, MN 55423, USA.

Department for Hematology and Oncology, Medicine Department 2, University Hospital of Tuebingen, Tuebingen 72076, Germany.

出版信息

Toxins (Basel). 2016 May 28;8(6):165. doi: 10.3390/toxins8060165.

Abstract

Cancer stem cells (CSC) are capable of promoting tumor initiation and self-renewal, two important hallmarks of carcinoma formation. This population comprises a small percentage of the tumor mass and is highly resistant to chemotherapy, causing the most difficult problem in the field of cancer research, drug refractory relapse. Many CSC markers have been reported. One of the most promising and perhaps least ubiquitous is CD133, a membrane-bound pentaspan glycoprotein that is frequently expressed on CSC. There is evidence that directly targeting CD133 with biological drugs might be the most effective way to eliminate CSC. We have investigated two entirely unrelated, but highly effective approaches for selectively targeting CD133. The first involves using a special anti-CD133 single chain variable fragment (scFv) to deliver a catalytic toxin. The second utilizes this same scFv to deliver components of the immune system. In this review, we discuss the development and current status of these CD133 associated biological agents. Together, they show exceptional promise by specific and efficient CSC elimination.

摘要

癌症干细胞(CSC)能够促进肿瘤起始和自我更新,这是癌形成的两个重要标志。这一细胞群体在肿瘤组织中所占比例很小,且对化疗具有高度抗性,导致癌症研究领域面临最棘手的问题——药物难治性复发。许多癌症干细胞标志物已被报道。其中最具前景且可能分布最不广泛的标志物之一是CD133,它是一种膜结合的五跨膜糖蛋白,常在癌症干细胞上表达。有证据表明,用生物药物直接靶向CD133可能是消除癌症干细胞的最有效方法。我们研究了两种完全不相关但高效的选择性靶向CD133的方法。第一种方法是使用一种特殊的抗CD133单链可变片段(scFv)来递送一种催化毒素。第二种方法是利用同样的scFv来递送免疫系统的成分。在这篇综述中,我们讨论了这些与CD133相关的生物制剂的研发情况和现状。它们共同展示了通过特异性和高效消除癌症干细胞而带来的巨大前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6105/4926132/71d7bbea4df7/toxins-08-00165-g001.jpg

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