| Background: Malignant melanoma is one of the common skin tumors in plastic surgery.Its fatality rate is high.Once the patient is diagnosed,the prognosis is poor if there is no timely and effective treatment.With the advancement of biology,drug therapy can effectively improve the overall survival time of patients with malignant melanoma.Recently,targeted therapies and immune checkpoint inhibitors have progressed rapidly,significantly improving the prognosis of patients,but the problem of drug resistance has also followed.The process of angiogenesis in malignant melanoma is very important for tumor development and metastasis,but the research progress of angiogenesis inhibition therapy is relatively slow.Therefore,it is urgent to find new biomarkers for targeted angiogenesis inhibition therapy to improve the prognosis.Objective: To establish a clinical prognostic model of malignant melanoma based on the exploration of angiogenesis-related genes.Method: Obtain the gene expression data set of malignant melanoma from the TCGA database.In R software,applying gene set variation analysis(GSVA),weighted correlation network analysis(WGCNA)and differential gene analysis of high and low angiogenesis scores groups screen out candidate genes related to angiogenesis.Combining candidate genes and the patient’s clinical survival,applying univariate Cox analysis and lasso algorithm for further variable screening to establish a clinical prognostic model related to angiogenesis.Results: 1.A total of 201 candidate genes related to angiogenesis were screened.2.In gene ontology,it is found that collagen and extracellular matrix structural components are more enriched.In the Kyoto Encyclopedia of Genes and Genomes,it is found that the PI3K/Akt pathway is most enriched in candidate genes.3.Established a clinical prognosis model related to angiogenesis.The key prognostic genes are MEDAG,CPXM2,SULF1,PRRX1 and COL5A1.4.The high-risk population tends to be clinically characterized by late staging and poor prognosis.Conclusion: The prognostic model of angiogenesis established by us can be used for non-invasive evaluation of specific patients in clinical work to predict their prognosis, and provide a reliable reference for the clinical diagnosis and treatment of malignant melanoma. |