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Gene & Protein in Disease                                        Pyroptosis-related LncRNAs in pediatric AML




                         A                      B                         C












                         D                       E                        F












                         G                       H                        I












            Figure 3. Immunological analysis. (A) Differences in ESTIMATE score among the three clusters. (B) Differences in immune score among the three
            clusters. (C) Differences in stromal score among the three clusters. (D) Differences in tumor purity among the three clusters. (E–I) Expression of five
            immune checkpoints in the three clusters: (E) PD-1; (F) LAG-3; (G) CTLA-4; (H) PD-L1; and (I) TIM-3.


            performed to determine if there are differences in the   (M1, M4, and M5), revealed notably lower OS in higher-
            baseline data between the two groups. The results showed   risk patients compared to lower-risk patients (Figure S3).
            statistical differences in age, BM, and FAB category. As   3.4. Immune-related analysis
            observed in the heatmap shown in Figure 6, DE-lncRNAs
            were highly expressed in the high-risk group, especially in   As shown in Figure 8A, the proportions of memory B-cells,
            cluster 1, and age < 3 was more common with high risk   plasma cells, naive CD4 T-cells, resting memory CD4 T-cells,
            (Figure  7A,  C). As  Figure 7B shown, the risk score was   resting mast cells, activated mast cells, and eosinophils
                                                               were significantly lower in high-risk patients. Contrariwise,
            different in some FAB categories. Uni-Cox and multi-Cox   the proportions of naive B-cells and monocytes were
            were performed in combination with clinical characteristics   significantly higher in high-risk patients. To identify the
            and risk scores for prognostic markers to further explore   differences in tumor-infiltrating immune cells between the
            independent prognostic factors (Figure  7D–E). Whether   two groups, the stromal score, immune score, ESTIMATE
            with uni-Cox or multi-Cox, the results showed that the   score, and tumor purity were compared. As shown in the box
            prognostic signature might predict OS in pediatric AML   chart (Figure 8B), the immune and ESTIMATE scores were
            patients independently. In addition, the stratified analyses   significantly lower in the low-risk group; although tumor
            performed to evaluate whether the prognostic signature   purity showed a different result, the tumor purity for both the
            retained its predictive ability in different subgroups,   groups was higher than 60. The expression of five important
            including age (< 3; ≥ 3 or < 6; ≥ 6 or < 14; and ≥ 14 years),   immune checkpoints was compared between the high- and
            race (white and others), gender (male and female), WB (<   low-risk groups. In the high-risk group, the expression of the
            50 and ≥ 50), PB (< 70 and ≥ 70), BM (70 and ≥ 70), and FAB   checkpoints was higher except for TIM-3 (Figure 8C–G).



            Volume 2 Issue 1 (2023)                         7                      https://doi.org/10.36922/gpd.v2i1.230
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