Fig. 3: The expression and clinical association analysis of CDC25 in SKCM tumor tissue.

A Differential expression of CDC25 family members between the GSE46517 and GSE98394 cohorts. B Differential expression of CDC25 family members between the Ki67++ and Ki67− groups in the GSE22153 cohort. C Differential expression of CDC25 family members between the primary and metastatic groups in the GSE46517 cohort. D Survival prognosis analysis of cancer with CDC25 expression in Kaplan–Meier analysis. E Comparison of mean AUC values at 1, 3, and 5 years for prognostic models constructed by different algorithms. This heatmap shows the average AUC values for each time point. F Deconvolution analysis was employed to accurately assess cell composition at each point on the 10x Visium slide. Each dot represents a microregion (spot) sequenced by spatial transcriptomics, with darker red indicating a higher cell count. G Based on deconvolution results, the cell type with the highest composition in each microregion is calculated and visualized. Each dot represents a spot from spatial transcriptome sequencing, with different colors denoting different cell types. H Wilcoxon rank-sum tests were used to evaluate the statistical significance of gene expression differences between the three groups. I Spearman correlation analysis was performed to assess the correlation between cell counts and gene expression in all spots. The red line represents a positive correlation, the green line a negative correlation, and the gray line indicates non-significance. The thickness of the line corresponds to the absolute value of the correlation coefficient. In the triangular region, the color depth and square size represent the correlation strength, with red indicating positive correlation and blue indicating negative correlation. The darker the color and the larger the square, the more significant the correlation.