Suppr超能文献

[Interaction of extracellular matrix macromolecules between host and metastatic tumor cells].

作者信息

Kimata K, Yoneda M, Morita H

出版信息

Gan To Kagaku Ryoho. 1987 Jun;14(6 Pt 2):2025-32.

PMID:3606137
Abstract

Tumor cell attachment to host endothelium appears to be one of the specific steps occurring during the formation of distant metastasis, in which interactions of extracellular matrix molecules between tumor cells and endothelial cells are greatly involved. From mouse mammary carcinoma cells with no apparent lung-colonizing capacity (FM3A P-O), Honma et al. (Gann, 72, 898-905, 1981) selected two variant sublines, P-15A and P-10, for their ability to form lung tumor colonies with relatively high and low efficiencies, respectively. Comparison of their extracellular matrix products indicated that the rate of hyaluronic acid synthesis in both metastatic variants was about 60 times the rate in the parent cells and that there was no apparent association between metastatic ability and the rate of synthesis of other extracellular matrix molecules. Further analysis of the variant cells in vivo and in vitro indicated that the highly metastatic P-15A cells were surrounded by a hyaluronic acid-rich pericellular coat whereas the intermediately metastatic P-10 cells were not, suggesting the involvement of accumulation of hyaluronic acid in the pericellular regions in the potential for metastasis. The extracellular matrix molecules in host endothelium having a capacity to interact with hyaluronic acid were also studied. Bovine pulmonary arterial endothelial cells were metabolically labeled with 35S-methionine. Extraction and subsequent biochemical characterization of the labeled molecules suggested that PG-M-like chondroitin sulfate proteoglycan participated in the binding. These results provide a basis for further investigation of the potential role of interactions of extracellular matrix molecules between host and tumor cells during metastatic processes.

摘要

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