MMP1 and MMP9 are potential prognostic biomarkers and targets for uveal melanoma

• Main Authors: Tianyu Wang, Yuanyuan Zhang, Jianhao Bai, Yawen Xue, Qing Peng
• Format: Article
• Language: English
• Published: BMC 2021-09-01
• Series: BMC Cancer
• Subjects: Matrix metallopeptidase; Transcriptional level; Protein-protein interaction; Prognosis; Overall survival; Disease-free survival
• Online Access: https://doi.org/10.1186/s12885-021-08788-3

Abstract Background Uveal melanoma (UVM) is the leading cause of eye-related mortality worldwide. This study aimed to explore the expression and prognostic value of matrix metalloproteinases (MMPs) in UVM. Methods Gene expression levels were obtained from the Gene Expression Omnibus (GEO) and Oncomine databases. Functional and pathway enrichment analyses were performed using the Metascape database. GeneMANIA was then applied to construct a protein-protein interaction network and identify the hub genes. Moreover, overall survival (OS) and disease-free survival (DFS) analysis for the hub genes was performed using the UALCAN and Gene Expression Profiling Interactive Analysis (GEPIA) online tool. Furthermore, TRRUST was used to predict the targets of the MMPs. Results Our results revealed that the transcriptional levels of MMP1, MMP9, MMP10, MMP11, MMP13, MMP14, and MMP17 were upregulated in UVM tissues compared to normal tissues. A protein-protein interaction (PPI) network was constructed and the top 50 hub genes were identified. The functions of MMPs and their neighboring proteins are mainly associated with ECM-receptor interaction, proteoglycans in cancer, the IL-17 signaling pathway, and microRNAs in cancer. Among the MMPs, MMP1/2/9/11/14/15/16/17/24 played significant roles in the progression of UVM from stage 3 to stage 4. We also found that the expression of MMP1, MMP2, MMP9, and MMP16 positively correlated with OS and DFS in patients with UVM. Additionally, 18 transcription factors associated with nine MMPs were identified. Conclusions The results of this study may provide potential biomarkers and targets for UVM. However, further studies are required to confirm these results.