Prediction Of Biomarkers Associated With Immune Infiltration For Basal Cell Carcinoma Based On Transcriptome Sequencing Data

Background and Objective:Basal cell carcinoma(BCC)is a frequent tumor of the surface layer of skin or its accessories,and ranks first among the prevalence of skin cancer cases.However,its pathogenesis remains unclear.The purpose of this analysis was to scientifically evaluate the role of m RNAs in the occurrence and progression of BCC and further elucidate their underlying potential molecular mechanisms of action.Method:1.Cancer tissues and paired adjacent normal tissues of 10 patients treated in dermatology department of the First Affiliated Hospital of Nanchang University who were pathologically diagnosed as basal cell carcinoma after surgery were collected.Clinicopathologic data of the patients were recorded and the specimens were sent to biological company for transcriptome sequencing to obtain transcriptome sequencing data.2.Differentially expression genes between BCC cases and controls which initiate from the GSE103439 and GSE7553 datasets were identified and the transcriptome sequencing information was obtained.3.KEGG enrichment analyses and GO annotation were performed.4.The protein interaction network was constructed by online website to analyze the protein interaction relationship of differentially expressed genes.5.LASSO and SVM analyses were performed to identify candidate biomarkers obtained from protein-protein interaction analysis.6.The microenvironment of tumor tissues compared with normal control tissues was investigated by immune infiltration analysis.7.The potential mi RNAs and lnc RNAs related to the hub genes were analyzed by online websites to obtain a ce RNA interaction network.8.The expression of KIF23 and NCAPG was measured by q RT-PCR and WB.Result:1.Twenty-seven Differentially expression genes were identified.Fifteen hub genes were screened in the protein-protein interaction network.2.KEGG and GO functional enrichment analysis showed that Differentially expression genes were mainly enrichment in biological processes such as extracellular structure organization,cartilage development.And in cellular components such as fibrillar collagen trimer,extracellular matrix component.As well as in molecular functions such as platelet-derived growth factor binding,metalloendopeptidase activity,DNA binding and transcriptional activity activated.3.FGF20,KIF23,and NCAPG were identified as the diagnostic markers of BCC.4.Immune cell infiltration analysis suggested their significant association with T cells CD4 memory activated,macrophages M1,and natural killer resting cells between the tumor samples and the control samples.5.Two mi RNAs and twelve lnc RNAs were used to construct the lnc RNAmi RNA-m RNA ce RNA network.6.q RT-PCR and WB results indicated that KIF23 and NCAPG were underexpressed in BCC tissues and cell.Conclusion:FGF20,KIF23,and NCAPG are potential biomarkers of BCC.Our findings may shed new light on the molecular mechanisms underlying BCC occurrence.