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

A B C

D E

Figure 7. Relationship among the risk score, clinical features, clusters, and immune score in AML. (A–C) Risk score in different characteristics:
(A) clusters; (B) FAB category; (C) age. (D) Results of multivariate Cox regression analysis. (E) Results of univariate Cox regression analysis.

human T-cell leukemia virus 1 infection, hematopoietic lncRNAs can be used as potential molecular markers to
cell lineage, AML, and chronic myeloid leukemia predict the course and survival status of AML patients .
[22]
(Figure 10B). Pyroptosis plays a key role in tumorigenesis and
tumor progression. At present, studies have found that
3.8. Establishments of a nomogram and a decision PR-lncRNAs act as immunotherapy targets or diagnostic
curve and predictive biomarkers for various cancer types, such
To further enhance the clinical application value and as uterine corpus endometrial carcinoma, bladder cancer,
provide a reliable predictive model for pediatric AML colorectal cancer, and so on [23-26] . However, there is still a
patients, the clinical parameters and risk scores were lack of systematic and in-depth studies on the relationship
combined to build a nomogram (Figure 11A). The between lncRNAs and the prognosis of AML patients,
probability of survival in 1, 3, and 5 years can be calculated especially pediatric AML patients.
by a nomogram incorporating the score of seven PPR- In our study, we retrieved 1300 transcriptome data and
lncRNAs and the clinicopathological parameters; its the corresponding clinical data from the TARGET database
calibration curve is shown in Figure 11B. In addition, and identified 841 PR-lncRNAs. We, then, classified three
according to the 1-, 3-, and 5-year DCA curves shown in clusters according to the count of PR-lncRNAs expression.
Figure 11C–E, the risk score was the optimal predictor of WB, BM, and PB were all remarkably lower in cluster 3.
survival for pediatric AML patients. Pathways that genes enriched in better prognostic clusters

4. Discussion (cluster 3) were mainly important immune-related
signaling pathways, including B-cell and T-cell receptor
With the rapid advancements in bioinformatics, predicting signaling pathways, NOD-like and Toll-like receptor
the prognosis of pediatric AML patients by assessing the signaling pathways, and Fc epsilon RI signaling pathway,
risk level of pediatric AML at the molecular level has which were derived from GSEA. Comparing the better and
become a reality. The regulatory mechanisms involved the poorer prognostic clusters (cluster 3 and cluster 1), there
in the lncRNA-mediated regulation of AML suggest that were significantly different proportions in nine out of 22

Volume 2 Issue 1 (2023) 10 https://doi.org/10.36922/gpd.v2i1.230