Research Paper Volume 15, Issue 20 pp 11508—11531
Single-cell analysis reveals exosome-associated biomarkers for prognostic prediction and immunotherapy in lung adenocarcinoma
Figure 3. Illustrating the identification of differentially expressed genes through AUCell method. (A) Variations in the proportion of cells within the tissues of early-stage and advanced lung cancer were examined. (B) The average expression levels of ERGs were assessed in 11 cell types using five different scoring methods. (C) All cells were categorized into high- and low-groups based on their scores according to ERGs. (D) The levels of exosome-related genes between early-stage and advanced lung cancer tissues were compared. (E) The pathway of significant differences between the high- and low-groups of exosome levels was explored using hallmark gene sets.