The RNA-sequencing data with survival information of melanoma was randomly divided into training and testing cohort by R package “caret.” Genes differently expressed in hot and cold tumors were used to perform univariate survival analysis, and genes with p < 0.05 were selected. Then, R packages”glmnet” was used to perform LASSO analysis with maix = 20,000. To optimize the model, this work used a step-wise proportional hazards model. The survival analysis was analyzed by R package “survival,” while AUC was analyzed by R package” survivalROC.” To validate the model, clinical samples with survival information were obtained and the expression of genes in the model was calculated by RT-PCR. The RNA-sequencing data and survival information of patients under immunotherapy treatment were obtained from the GEO database or supplied in the article. The count and FPKM data were transferred into TPM and made a log2(x+1) normalization.

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