Upregulated expression of MMP family genes is associated with poor survival in patients with esophageal squamous cell carcinoma via regulation of proliferation and epithelial‑mesenchymal transition.

ONCOLOGY REPORTS(2020)

引用 2|浏览11
暂无评分
摘要
Matrix metalloproteinases (MMPs) are involved in the cleavage of several components of the extracellular matrix and serve important roles in tumor growth, metastasis and invasion. Previous studies have focused on the expression of one or several MMPs in esophageal squamous cell carcinoma (ESCC); however, in the present study, the transcriptomics of all 23 MMPs were systematically investigated with a focus on the prognostic value of the combination of MMPs. In this study, 8 overlapping differentially expressed genes of the MMP family were identified based on data obtained from Gene Expression Omnibus and The Cancer Genome Atlas. The prognostic value of these MMPs were investigated; the receiver operating characteristic curves, survival curves and nomograms showed that the combination of 6 selected MMPs possessed a good predictive ability, which was more accurate than the prediction model based on Tumor-Node-Metastasis stage. Gene set enrichment analysis and gene co-expression analysis were performed to investigate the potential mechanism of action of MMPs in ESCC. The MMP family was associated with several signaling pathways, such as epithelial-mesenchymal transition (EMT), Notch, TGF-beta, mTOR and P53. Cell Counting Kit-8, colony formation, wound healing assays and western blotting were used to determine the effect of BB-94, a pan-MMP inhibitor, on proliferation and migration of ESCC cells. BB-94 treatment decreased ESCC cell growth, migration and EMT. Therefore, MMPs may serve both as diagnostic and prognostic biomarkers of ESCC, and MMP inhibition may be a promising preventive and therapeutic strategy for patients with ESCC.
更多
查看译文
关键词
matrix metalloproteinase family,esophageal squamous cell carcinoma,Gene Expression Omnibus,The Cancer Genome Atlas,prognostic value,epithelial-mesenchymal transition
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要