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在小鼠肿瘤模型中,CD49b、CD87和CD95是活化的癌症相关成纤维细胞的标志物,而CD39标记静止的正常成纤维细胞。

CD49b, CD87, and CD95 Are Markers for Activated Cancer-Associated Fibroblasts Whereas CD39 Marks Quiescent Normal Fibroblasts in Murine Tumor Models.

作者信息

Agorku David J, Langhammer Anne, Heider Ute, Wild Stefan, Bosio Andreas, Hardt Olaf

机构信息

Miltenyi Biotec GmbH, Bergisch Gladbach, Germany.

HAN Master Programmes, HAN University of Applied Sciences, Nijmegen, Netherlands.

出版信息

Front Oncol. 2019 Aug 5;9:716. doi: 10.3389/fonc.2019.00716. eCollection 2019.

Abstract

Fibroblasts are thought to be key players in the tumor microenvironment. Means to identify and isolate fibroblasts as well as an understanding of their cancer-specific features are essential to dissect their role in tumor biology. To date, the identification of cancer-associated fibroblasts is widely based on generic markers for activated fibroblasts in combination with their origin in tumor tissue. This study was focused on a deep characterization of the cell surface marker profile of cancer-associated fibroblasts in widely used mouse tumor models and defining aberrant expression profiles by comparing them to their healthy counterparts. We established a generic workflow to isolate healthy and cancer-associated fibroblasts from solid tissues, thereby reducing bias, and background noise introduced by non-target cells. We identified CD87, CD44, CD49b, CD95, and Ly-6C as cancer-associated fibroblast cell surface markers, while CD39 was identified to mark normal fibroblasts from healthy tissues. In addition, we found a functional association of most cancer-related fibroblast markers to proliferation and a systemic upregulation of CD87, and CD49b in tumor-bearing mice, even in non-affected tissues. These novel markers will facilitate the characterization of fibroblasts and shed further light in their functions and implication in cancer progression.

摘要

成纤维细胞被认为是肿瘤微环境中的关键参与者。识别和分离成纤维细胞的方法以及对其癌症特异性特征的了解对于剖析它们在肿瘤生物学中的作用至关重要。迄今为止,癌症相关成纤维细胞的鉴定广泛基于活化成纤维细胞的通用标志物及其在肿瘤组织中的起源。本研究聚焦于广泛使用的小鼠肿瘤模型中癌症相关成纤维细胞的细胞表面标志物谱的深入表征,并通过将它们与其健康对应物进行比较来定义异常表达谱。我们建立了一个通用的工作流程,从实体组织中分离健康和癌症相关的成纤维细胞,从而减少非靶细胞引入的偏差和背景噪声。我们鉴定出CD87、CD44、CD49b、CD95和Ly-6C作为癌症相关成纤维细胞的细胞表面标志物,而CD39被鉴定为标记健康组织中的正常成纤维细胞。此外,我们发现大多数癌症相关成纤维细胞标志物与增殖之间存在功能关联,并且在荷瘤小鼠中,即使在未受影响的组织中,CD87和CD49b也存在系统性上调。这些新的标志物将有助于成纤维细胞的表征,并进一步阐明它们在癌症进展中的功能和影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b050/6690267/c82c025f7618/fonc-09-00716-g0001.jpg

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