Cancer-associated fibroblast cell surface markers as potential biomarkers or therapeutic targets in lung cancer.

作者信息

Tokhanbigli Samaneh, Haghi Mehra, Dua Kamal, Oliver Brian Gregory George

机构信息

School of Life Science, University of Technology Sydney, Sydney, NSW 2007, Australia.

Respiratory and Cellular Molecular Biology Group, Woolcock Institute of Medical Research, Sydney, NSW 2037, Australia.

出版信息

Cancer Drug Resist. 2024 Sep 10;7:32. doi: 10.20517/cdr.2024.55. eCollection 2024.

Abstract

Cancer-associated fibroblasts (CAFs) are the vital constituent of the tumor microenvironment, and in communication with other cells, they contribute to tumor progression and metastasis. Fibroblasts are the proposed origin of CAFs, which are mediated by pro-inflammatory cytokines and the recruitment of immune cells akin to wound healing. Although various studies have identified different subpopulations of CAFs in lung cancer, the heterogeneity of CAFs, particularly in lung cancer, and their potential as a therapeutic target remain largely unknown. Notwithstanding CAFs were previously thought to have predominantly tumor-promoting features, their pro- or anti-tumorigenic properties may depend on various conditions and cell origins. The absence of distinct markers to identify CAF subpopulations presents obstacles to the successful therapeutic targeting and treatment of CAFs in cancer. Human clinical and animal studies targeting CAFs have shown that targeting CAFs exacerbates the disease progression, suggesting that subpopulations of CAFs may exert opposing functions in cancer progression. Therefore, it is essential to pinpoint specific markers capable of characterizing these subpopulations and revealing their mechanisms of function. The cell-specific surface markers of CAFs will serve as an initial step in investigating precise CAF subpopulations and their role in diagnosing and targeting therapy against cancer-promoting CAF subsets in lung cancer.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4fe/11472577/95dd9b8c783f/cdr-7-32.fig.1.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