Fig. 1

Bioinformatics identification of CD8⁺ T-TIL-related miR-340-5p in DLBCL. a Flow chart of data preprocessing and analysis. TCGA, The Cancer Genome Atlas; DLBCL, diffuse large B-cell lymphoma; WGCNA, weighted gene coexpression network analysis. b The heatmap summarizes the proportions of immune cell subsets (CIBERSORT p value < 0.05). c Clustering dendrograms of genomic signatures. In all, 25 modules were identified by the dynamic tree cut method, and each module was symbolized by a color. d Gene and miRNA module–trait associations. Each row corresponded to a module eigengene, and each column corresponded to a tumor-infiltrating immune cell subtype. The corresponding correlation and q-value are presented from top to bottom in each cell. The cells were color-coded by correlation according to the color legend. e MiRNA-gene from the MEcyan module interaction network. MiRNAs are shown in blue, and genes are shown in red. The lines between miRNAs and genes indicate coexpression relationships among them. f MiRNAs ranked in the top 10 with HR > 1 (left panel, red) or HR < 1 (right panel, blue) according to Cox regression analysis. g Intersection of hub miRNAs in WGCNA and survival-associated miRNAs (HR < 1). h Survival analysis of miR-340-5p in DLBCL patients