Matrix metalloproteinases (MMPs) are a family of zinc-containing proteases with vital roles in extracellular matrix remodeling. The regulation of MMPs can modulate a number of cellular activities. The therapeutic potential of MMP inhibitors has been shown for diseases such as arthritis and cancer. This paper is the first to demonstrate that HAuCl 4 inhibits the activity of MMP-2 and MMP-13 as well as having a more specific inhibitory effect on MMP-14. The effect of HAuCl 4 on MMP-14 involves a non-competitive reversible inhibitory mechanism. Moreover, 0-50 mM HAuCl 4 did not affect the cell viability of HT-1080 human fibrosarcoma cells. However, HAuCl 4 at these concentrations showed significant inhibitory effects on the invasion of the HT-1080 cells, thereby suggesting that HAuCl 4 may modulate tumor cell behaviors by inhibiting MMP-14. These findings provide initial clues to further elucidate the biological activity of HAuCl 4 and its potential therapeutic value for related diseases.
Background: Iron metabolism-related genes have shown good predictive value for the prognosis of many solid tumours. However, iron metabolism-related genes have not been reported as prognostic biomarkers in bladder urothelial carcinoma.Methods: In this study, gene expression data and clinical data were downloaded from The Cancer Genome Atlas database. Differential gene expression analysis, univariate Cox regression analysis and the least absolute shrinkage and selection operator regression algorithm were used to screen prognostic iron metabolism-related genes and to construct a risk scoring model. Kaplan-Meier survival plots and receiver operating characteristic curve analysis were used to evaluate the prognostic performance of the risk scoring model in the TCGA-BLCA cohort. In addition, a nomogram model with the risk score was established, and its predictive performance was verified by receiver operating characteristic analysis and calibration plot analysis in the TCGA-BLCA cohort. Gene set enrichment analysis identified pathways and biological processes that may be enriched in the high-risk group. Finally, immune infiltration analysis was used to explore the characteristics of the tumour microenvironment related to the risk score. Results: We identified 14 iron metabolism-related genes with prognostic value and constructed a risk scoring model. Receiver operating characteristic analysis showed that the risk scoring model can accurately predict the 1-year, 3-year, and 5-year overall survival of BLCA patients in the TCGA-BLCA cohort. Kaplan-Meier analysis showed that the overall survival of the high-risk group was significantly lower than that of the low-risk group (P<0.001). The nomogram model effectively predicted the overall survival of BLCA patients in the TCGA-BLCA cohort. Gene set enrichment analysis indicated that iron metabolism-related genes may be involved in biological processes such as developmental processes, the cell cycle, mitosis, the RHO GTPase response, DNA repair, and extracellular matrix regulation. Immune infiltration analysis showed that the level of immune cell infiltration in the high-risk group was high, and the risk score was positively correlated with infiltrating immune cells. Conclusions: Our prognostic model based on iron metabolism-related genes in BLCA could help the prognostic assessment of BLCA patients and provide potential targets for BLCA inhibition.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.