microRNA-365 inhibits YAP through TLR4-mediated IRF3 phosphorylation and thereby alleviates gastric precancerous lesions

microRNA-365通过TLR4介导的IRF3磷酸化抑制YAP从而减轻胃癌前病变

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作者:Tianqi Zhang, Kunpeng Zhang, Kaiyue Ji, Cuiping Zhang, Yueping Jiang, Qi Zhang, Zibin Tian, Xinyu Wang, Mengyuan Zhang, Xiaoyu Li

Background

Gastric carcinoma (GC) is currently one of the most common malignant tumors of the digestive system, and gastric precancerous lesions play a vital role in studying the mechanism of GC. Multiple microRNAs (miRNAs) have been documented to be potential biomarkers to indicate progression of gastric precancerous lesions. In this study, we explained the anti-cancer effect of miR-365 in gastric precancerous lesions via regulation of the TLR4/IRF3/YAP/CDX2 axis.

Conclusion

Taken together, miR-365-mediated TLR4 inhibition reduces IRF3 phosphorylation and YAP-mediated CDX2 transcription to impede progression of gastric precancerous lesions.

Methods

miR-365, TLR4, CDX2 and IPF3 expression was determined in GC and atrophic gastritis tissues and cells. After transfection of shRNA and overexpression plasmids, in vitro experiments detected the alteration of cell viability, apoptosis and inflammatory factors. Bioinformatics analysis, Co-IP and dual luciferase reporter gene assay were conducted to evaluate the binding between miR-365 and TLR4 as well as IRF3 and YAP. Rat models were established to explore the effect of the miR-365 and TLR4 on gastric precancerous lesions.

Results

miR-365 was poorly expressed in GC and atrophic gastritis tissues and GC cell lines, while TLR4, CDX2 and IRF3 were overexpressed. Of note, miR-365 was indicated to target TLR4 and thereby suppressed cancer progression and increased hemoglobin content. Interestingly, silencing of TLR4 was accompanied by decreased IRF3 phosphorylation and reduced expression with less binding between CDX2 and IRF3. Downregulation of YAP resulted in declined CDX2 expression in cancer cells. Moreover, the inhibitory role of miR-365 was further confirmed in animal models.

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