Coexpressed Genes That Promote the Infiltration of M2 Macrophages in Melanoma Can Evaluate the Prognosis and Immunotherapy Outcome

Figure 1

Flow chart to identify coexpressed genes that promote M2 macrophage infiltration in melanoma. (1) Data processing: 470 melanoma tissue samples were obtained from SKCM-FPKM. CIBERSORT algorithm was used to calculate M2 macrophage infiltration in melanoma tissue samples. Then, the tumor purity and mutation burden in the tumor immune microenvironment were analyzed. (2)WGCNA analysis: WGCNA was used to generate a coexpressed gene network to obtain coexpressed genes. Combined with the analysis of M2 macrophage content and mRNA gene matrix, the yellow module with the most negative correlation to M2 and the green-yellow module with the most positive correlation were selected. (3) Enrichment analysis: GO analysis and KEGG analysis were performed on the yellow module and the green-yellow module. (4) Survival analysis: the genes screened by WGCNA were analyzed for survival. According to these results, establish the Cox Proportional Regression model based on multiple factors and screen out the model’s essential critical genes. TCGA-SKCM clinical subgroup analyses were performed on the prognostic model. GSEA analysis and pan-cancer analysis were performed on the essential genes. (5) Model validation: a prognostic scoring model related to the coexpression genes of M2 macrophages in melanoma was validated in the GSE69504 cohort and GSE78220 with immunotherapy follow-up cohort.