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

A B

C D E

Figure 11. Decision curve and nomogram. (A) A nomogram with gender, race, BM, PB, WBC, age, FAB category, and risk score. (B) 1-, 3-, and 5-year
calibration curves. (C–E) Decision curves at 1, 3, and 5 years. BM: Bone marrow leukemic blast percentage (%); PB: Peripheral blasts (%); WB: White
blood cell at diagnosis.

and inhibition of NF-κB in AML CD34+cells . In a study The low- and high-risk groups were separated according
[41]
on gastric cancer, researchers have found that NF-κB can to the median risk score of the training set. Patients
be stimulated by strengthening the expression of TRIM37 in the two groups showed noticeably distinct clinical
through ASB16-AS1 . AC127496.5, on the other hand, characteristics, prognosis, TME, immune checkpoint
[42]
has been found to be one of the predictors of response expressions, MSI level, and drug susceptibility. The high-
to anti-PD-1 therapy for patients with cancer other than risk group was characterized by poorer prognosis, lower
AML . Unfortunately, we have not found the mechanism immune checkpoint expressions, MSI-L/MSS, and lower
[43]
of the other three lncRNAs; thus, more research is needed drug susceptibility. Interestingly, we found that one of the
to ascertain their potential roles. immune checkpoints, TIM-3, played a different role from
others both in the risk groups and the three clusters. In
Seven PR-lncRNAs were used to construct the the previous studies, researchers have found that TIM-3
pediatric AML prognostic signature, and the expression may be different in AML and other leukemias; also, its
levels of those genes were calculated using risk scores. representations may not be the same in different FAB
The AUC of the training set was 0.671, 0.676, and 0.665 categories. Studies have also found that TIM-3 played
at 1, 3, and 5 years, respectively. Similar results were a different role in acute promyelocytic leukemia (M3)
obtained for the testing set in validating the model. The compared with other cases [44,45] . However, we were
prediction model has a considerable effect on the survival unable to find any association with M3 in our study. The
prediction of pediatric AML patients, and the prognostic molecular mechanisms involved in the different outcomes
signature has a great predictive ability for these patients. need to be further explored. As expected, the TME differed

Volume 2 Issue 1 (2023) 14 https://doi.org/10.36922/gpd.v2i1.230