Suppr超能文献

分类癌症相关成纤维细胞——好的、坏的和靶向的。

Classifying cancer-associated fibroblasts-The good, the bad, and the target.

机构信息

University of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland; ETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland.

University of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland; ETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland; ETH Zurich, Institute of Molecular Systems Biology, Zurich, Switzerland.

出版信息

Cancer Cell. 2024 Sep 9;42(9):1480-1485. doi: 10.1016/j.ccell.2024.08.011.

Abstract

Cancer-associated fibroblasts (CAFs) are heterogeneous and ubiquitous stromal cells within the tumor microenvironment (TME). Numerous CAF types have been described, typically using single-cell technologies such as single-cell RNA sequencing. There is no general classification system for CAFs, hampering their study and therapeutic targeting. We propose a simple CAF classification system based on single-cell phenotypes and spatial locations of CAFs in multiple cancer types, assess how our scheme fits within current knowledge, and invite the CAF research community to further refine it.

摘要

癌症相关成纤维细胞(CAFs)是肿瘤微环境(TME)中异质性且普遍存在的间质细胞。已经描述了许多 CAF 类型,通常使用单细胞技术,如单细胞 RNA 测序。目前还没有针对 CAFs 的通用分类系统,这阻碍了它们的研究和治疗靶向。我们提出了一种基于单细胞表型和多种癌症类型中 CAFs 的空间位置的简单 CAF 分类系统,评估我们的方案如何适应现有知识,并邀请 CAF 研究界进一步完善它。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验