Expression Of MMP13 And Its Relationship With EMT Related Proteins Based Through Bioinformatics In Osteosarcoma

Background: Osteosarcoma mainly occurs on young,which comes from stromal cell line development with low survival rate and generally poor body condition.It characterized by fever,malaise,weight loss,anemia and failure.Its curative effect is not ideal.The tumor is growing rapidly with early lung metastases as well as general deterioration,even amputation and after chemotherapy is still about 40% of patients died of tumor metastasis.A number of studies have found that 80 ~ 90% patients diagnosed before have taken place in the whole body of micro lesions,among them,Epithelial-Mesenchymal Transition(EMT)can affect multiple genes and pathways to influence invasion and metastasis of tumor,including osteosarcoma.Osteosarcoma cells as metastatic bone tumors in a kind of strong,its metastatic is closely related to the EMT.However,the specific mechanism of cancer metastasis has not been found yet.Based on big data bioinformatics mining,it is found that matrix mettalloproteinases(MMPs)is the main enzyme for extracellular matrix degradation,which is closely related to tumor invasion,metastasis and prognosis.MMP13 belongs to the MMPs family.In addition,MMP13 was one of the four genes with the highest specificity in the diagnosis of breast cancer,and the positive rate of MMP13 was 100% in15 breast cancer tissues.However,the relationship between EMT abnormalities and MMP13 in osteosarcoma remains unclear.Therefore,the purpose of this study was to explore the effect of MMP13 regulating EMT on the migration and invasion of osteosarcoma,which is of great significance to clarify the role of MMP13 in the EMT of osteosarcoma..Method: 1.Based on large data of bioinformatics,found that in the two data sets of GEO database GSE12865 and extract the GSE16088 expressed genes,and through the GO and KEGG enrichment analysis found that the enrichment of differentially expressed genes in a variety of biological functions and signal pathways in cancer,then protein by PPI network analysis found that the core protein networks,and select the key genes.2.After the key gene was selected,the differential expression of key gene and EMT proteins in tissue samples was detected by IHC to verify the bioinformatics analysis and analyze the correlation.3.The correlation between expression of the key gene and clinical characterization was analyzed.Results: 1.Through GEO database analysis of two data sets GSE12865 and GSE16088,27 DEGs were selected,one of which was low expression and the rest was over expression(P < 0.05).After that,GO and KEGG enrichment analysis showed that the DEGs were enriched in various biological functions and cancer signaling pathways.Then PPI protein network analysis was conducted to find the core protein network and select the key gene MMP13.2.After the key gene MMP13 was selected,the differential expression of MMP13 and EMT related proteins in tissue samples was detected by IHC to verify the bioinformatics analysis and analyze the correlation.3.The correlation between MMP13 expression and clinical data was analyzed;Verification of survival analysis by TCGA database(P < 0.05)Conclusion: The overexpression of MMP13 was found based on bioinformatics in osteosarcoma.The overexpression of MMP13 was positively correlated with the expression of EMT related protein in osteosarcoma.