Oral submucous fibrosis (OSF) induced by chewing of the areca nut has been considered to be a precancerous lesion with a high probability of developing oral squamous cell carcinoma. Tanshinone (TSN) is the main component extracted from , a traditional Chinese medicine, which was found to have diverse pharmacological effects, such as anti-inflammatory and antitumor. In the current study, we aimed to identify the inhibitory effects and the underlying mechanism of TSN on OSF progress. We found that treatment with TSN inhibited the arecoline-mediated proliferation of primary human oral mucosal fibroblasts and reversed the promotive effects of arecoline on the EMT process. By RNA deep sequencing, we screened two possible targets for TSN: LSD1 and p53. We confirmed that p53 is much lower in OSF than in normal mucous tissues. In addition, p53 and its downstream molecules were decreased by arecoline treatment in oral mucosal fibroblasts, which was reversed by treatment with TSN in a dose-dependent manner. Our results also revealed that arecoline stimulation resulted in hypermethylation of the promoter of and subsequent downregulation of p53 levels, which was reversed by TSN. Furthermore, we identified that LSD1 could epigenetically activate by recruiting H3K27me1 and H3K4m2 to its promoter. Our findings provide new insights into the mechanism by which TSN influences arecoline-induced OSF and rationale for the development of clinical intervention strategies for OSF and even oral squamous cell carcinoma.

Background: Although immunotherapy with immune checkpoint therapy has been used to treat head and neck squamous cell carcinoma (HNSCC), response rates and treatment sensitivity remain limited. Recent studies have indicated that transforming growth factor-β (TGF-β) may be an important target for novel cancer immunotherapies.Materials and methods: We collected genomic profile data from The Cancer Genome Atlas and Gene Expression Omnibus. The least absolute shrinkage and selection operator method and Cox regression were used to establish a prognostic model. Gene set enrichment analysis was applied to explore biological functions. Tracking of indels by decomposition and subclass mapping algorithms were adopted to evaluate immunotherapy efficiency.Result: We established a seven TGF-β pathway-associated gene signature with good prediction efficiency. The high-risk score subgroup mainly showed enrichment in tumor-associated signaling such as hypoxia and epithelial-mesenchymal transition (EMT) pathways; This subgroup was also associated with tumor progression. The low-risk score subgroup was more sensitive to immunotherapy and the high-risk score subgroup to cisplatin, erlotinib, paclitaxel, and crizotinib.Conclusion: The TGF-β pathway signature gene model provides a novel perspective for evaluating effectiveness pre-immunotherapy and may guide further studies of precision immuno-oncology.