SOX9 in prostate cancer is upregulated by cancer-associated fibroblasts to promote tumor progression through HGF/c-Met-FRA1 signaling.
Haixiang QinYang YangBo JiangChun PanWei ChenWenli DiaoMeng DingWenmin CaoZhenxing ZhangMengxia ChenJie GaoXiaozhi ZhaoXuefeng QiuHong-Qian GuoPublished in: The FEBS journal (2021)
Transcription factor SOX9 was a biomarker for prostate cancer (Pca) with poor prognosis. Nevertheless, the regulatory mechanism underlying SOX9 upregulation still remains unclear. Several cytokines have been reported to be involved in the regulation of SOX9, suggesting that cancer-associated fibroblasts (CAFs), one of the main sources of secreted factors in the tumor microenvironment (TME), may play a role in regulating SOX9 expression. Herein, an in vitro model of paracrine interaction between primary CAFs and Pca cells was applied to investigate the molecular mechanism of SOX9 upregulation during Pca progression. The regulatory axis was validated by in vivo experiments and The Cancer Genome Atlas data. Conditional medium of CAFs (CAF-CM) upregulated the expression of SOX9, which was mutually proved to be essential for CAF-induced tumor progression. Further analysis showed that hepatocyte growth factor (HGF) secreted by CAFs was responsible for SOX9 elevation in Pca cells, via the activation of c-Met signaling. Mechanistically, HGF/c-Met signaling specifically activated MEK1/2-ERK1/2 pathway, which induced phosphorylation and upregulation of FRA1, which then transcriptionally upregulated SOX9 by binding to the promoter of SOX9 gene. Moreover, we identified that HGF/c-Met-ERK1/2-FRA1-SOX9 axis was relatively conserved between human and mouse species by validating in mouse Pca cells. Our results reveal a novel insight into the molecular mechanism that SOX9 in Pca cells is promoted by CAFs through HGF/c-Met-ERK1/2-FRA1 axis. Furthermore, SOX9 may serve as an alternative marker for the activated HGF/c-Met signaling to enroll the optimal Pca patients for HGF/c-Met inhibition treatment, since it is much more stable and easier to detect.
Keyphrases
- transcription factor
- poor prognosis
- stem cells
- prostate cancer
- induced apoptosis
- signaling pathway
- long non coding rna
- dna binding
- growth factor
- cell proliferation
- genome wide identification
- cell cycle arrest
- end stage renal disease
- tyrosine kinase
- endothelial cells
- gene expression
- chronic kidney disease
- radical prostatectomy
- peritoneal dialysis
- high glucose
- newly diagnosed
- cell death
- drinking water
- papillary thyroid
- deep learning
- big data
- combination therapy