Tumor-associated macrophages promote prostate cancer progression via exosome-mediated miR-95 transfer.
Han GuanRui PengFang FangLikai MaoZhijun ChenShuai YangChangyuan DaiHongliang WuChengyong WangNinghan FengBin XuMing ChenPublished in: Journal of cellular physiology (2020)
Tumor-associated macrophages (TAMs) are vital constituents in mediating cell-to-cell communication within the tumor microenvironment. However, the molecular mechanisms underlying the interplay between TAMs and tumor cells that guide cell fate are largely undetermined. Extracellular vesicles, also known as exosomes, which are derived from TAMs, are the components exerting regulatory effects. Thus, understanding the underlying mechanism of "onco-vesicles" is of crucial importance for prostate cancer (PCa) therapy. In this study, we analyzed micro RNA sequences in exosomes released by THP-1 and M2 macrophages and found a significant increase in miR-95 levels in TAM-derived exosomes, demonstrating the direct uptake of miR-95 by recipient PCa cells. In vitro and in vivo loss-of-function assays suggested that miR-95 could function as a tumor promoter by directly binding to its downstream target gene, JunB, to promote PCa cell proliferation, invasion, and epithelial-mesenchymal transition. The clinical data analyses further revealed that higher miR-95 expression results in worse clinicopathological features. Collectively, our results demonstrated that TAM-mediated PCa progression is partially attributed to the aberrant expression of miR-95 in TAM-derived exosomes, and the miR-95/JunB axis provides the groundwork for research on TAMs to further develop more-personalized therapeutic approaches for patients with PCa.
Keyphrases
- cell proliferation
- long non coding rna
- prostate cancer
- long noncoding rna
- poor prognosis
- mesenchymal stem cells
- epithelial mesenchymal transition
- stem cells
- cell cycle
- induced apoptosis
- radical prostatectomy
- dna methylation
- signaling pathway
- cell death
- smoking cessation
- high throughput
- binding protein
- oxidative stress
- endoplasmic reticulum stress
- deep learning
- transforming growth factor