| Literature DB >> 35589002 |
Sherona R Sirkisoon1, Grace L Wong1, Noah R Aguayo1, Daniel L Doheny1, Dongqin Zhu1, Angelina T Regua1, Austin Arrigo1, Sara G Manore1, Calvin Wagner1, Alexandra Thomas2, Ravi Singh1, Fei Xing3, Guangxu Jin1, Kounosuke Watabe3, Hui-Wen Lo4.
Abstract
Mechanisms underlying breast cancer brain metastasis (BCBM) are still unclear. In this study, we observed that extracellular vesicles (EVs) secreted from breast cancer cells with increased expression of tGLI1, a BCBM-promoting transcription factor, strongly activated astrocytes. EV-derived microRNA/miRNA microarray revealed tGLI1-positive breast cancer cells highly secreted miR-1290 and miR-1246 encapsulated in EVs. Genetic knockin/knockout studies established a direct link between tGLI1 and both miRNAs. Datamining and analysis of patient samples revealed that BCBM patients had more circulating EV-miRs-1290/1246 than those without metastasis. Ectopic expression of miR-1290 or miR-1246 strongly activated astrocytes whereas their inhibitors abrogated the effect. Conditioned media from miR-1290- or miR-1246-overexpressing astrocytes promoted mammospheres. Furthermore, miRs-1290/1246 suppressed expression of FOXA2 transcription repressor, leading to CNTF cytokine secretion and subsequent activation of astrocytes. Finally, we conducted a mouse study to demonstrate that astrocytes overexpressing miR-1290, but not miR-1246, enhanced intracranial colonization and growth of breast cancer cells. Collectively, our findings demonstrate, for the first time, that breast cancer EV-derived miR-1290 and miR-1246 activate astrocytes in the brain metastatic microenvironment and that EV-derived miR-1290 promotes progression of brain metastases through the novel EV-miR-1290→FOXA2→CNTF signaling axis.Entities:
Keywords: Brain microenvironment; Breast cancer brain metastasis; Extracellular vesicles; microRNAs; tGLI1
Mesh:
Substances:
Year: 2022 PMID: 35589002 PMCID: PMC9387054 DOI: 10.1016/j.canlet.2022.215726
Source DB: PubMed Journal: Cancer Lett ISSN: 0304-3835 Impact factor: 9.756