Identification of Osteosarcoma Metastasis-Associated Gene Biomarkers and Potentially Targeted Drugs Based on Bioinformatic and Experimental Analysis

基于生物信息学和实验分析的骨肉瘤转移相关基因生物标志物及潜在靶向药物的鉴定

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Abstract

BACKGROUND: Metastasis is the leading cause of death for patients with osteosarcoma (OS). In the present study, we explore the biomarkers for metastatic OS and provide potential therapeutic approaches. MATERIALS AND METHODS: RNA-Seq data and clinical follow-up information were downloaded from TARGET and GEO databases. A Cox regression model was used to analyze metastatic events. L1000FWD, DGIdb, and CMap databases were used to identify potential drugs related to metastasis. Invasion and migration transwell assays and an adhesion assay were used to identify biological functions of genes. RESULTS: A total of 15 metastasis-related signatures (MRSs) were associated with the prognosis based on the TARGET or GSE21257 cohorts, among which IL10RA and TLR7 genes were especially significant. In the DGIdb drug-gene interaction database, TLR7 and IFNGR1 were found to have potential interactions with drugs. After inhibiting the expression of TLR7, the migration, invasion, and adhesion ability of OS cells were significantly enhanced, which further promoted metastasis. CONCLUSION: We identified a set of MRS that may be related to OS metastases. Among them, TLR7 plays a vital role and may be a potential target for OS metastasis treatment.

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