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Fig 1.

Flowchart for this study.

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Table 1.

Sources and sample information of datasets in this study.

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Fig 2.

Genes differentially expressed between NL and LS group.

(A) Volcano map of differentially expressed genes. (B) The heatmap of the top twenty upregulated and downregulated differentially expressed genes.

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Fig 3.

WGCNA analysis of GSE30999, GSE106992, and GSE14905.

(A) Fit index of the corresponding scale free topology models for different soft thresholds. (B) Mean connectivity for different soft thresholds. (C) Dendrogram and trait heatmap of all sample. (D) Cluster dendrogram of genes. Each color represented a module, and the gray module included the genes that could not be classified into any module. (E) Heatmap of feature vector clustering between different modules. (F) Heatmap of module-phenotype correlations. (G) Scatterplot of the correlation between GS and MM in the blue module.

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Fig 4.

Identification and enrichment analysis of immune-key genes.

(A) Venn diagram for three screening methods. (B) GO enrichment. (C) KEGG signaling pathway.

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Fig 5.

Identification of immune-related hub genes.

(A) The partial likelihood deviance under per-fold cross-validation for different λ, the dashed line corresponding to the horizontal coordinate point is the optimal λ value. (B) LASSO weight coefficient profile with 1 non-zero coefficient feature selected at the optimal value of λ. (C) and (D) Two clusters comprising 17 central genes by the MCODE algorithm. (E) The top 10 genes ranked by the MCC algorithm of CytoHubba. (F) Venn diagram for different methods screening hub genes.

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Fig 6.

Correlation analysis and GSEA enrichment analysis of immune-related hub genes.

(A) Bar graph of expression levels of 6 hub genes. (B) Correlation analysis between hub gene. GSEA analysis of CLEC7A (C), CXCL1 (D), IRF1 (E), S100A8 (F), S100A9 (G), and S100A12 (H).

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Fig 7.

The exploratory discriminatory ability of hub genes and expression level validation.

(A) ROC curve analysis of six hub genes. (B) ROC curve analysis of logistic regression models. (C) Expression levels of immune-related hub genes in GSE78097. (D) Expression levels of immune-related hub genes in GSE117468.

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Fig 8.

Correlation analysis between PASI score and expression levels of CLEC7A.

(A), CXCL1 (B), IRF1 (C), S100A12 (D), S100A8 (E), and S100A9 (F) at different treatment times.

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Fig 9.

Correlation analysis between treatment length and expression levels of CLEC7A (A), CXCL1 (B), IRF1 (C), S100A12 (D), S100A8 (E), and S100A9 (F).

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Fig 10.

Immune infiltration analysis and drug prediction.

(A) The boxplot of the differences in immune cell infiltration between LS and NL samples. (B) The correlation plot of the relationships among immune cells and the six immune-related hub genes. (C) Drug prediction network diagram, red circles represent hub genes and blue polygons represent potential drugs. -, p > 0.05, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

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