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急性骨髓性白血病中与焦食相关的预后预测和免疫微环境特征的构建
Authors Liu S, Luo D, Luo J, Liang H, Zhi Y, Wang D, Xu N
Received 15 December 2021
Accepted for publication 28 January 2022
Published 12 March 2022 Volume 2022:15 Pages 2913—2927
DOI https://doi.org/10.2147/IJGM.S352062
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Scott Fraser
Background: Acute myelogenous leukemia (AML) is a common and fatal disease in hematology with frequent relapses and a poor prognosis. Pyroptosis, a programmed cell death mediated by inflammasomes, has been shown to be associated with leukemia recently. However, the role of pyroptosis for diagnosis and prognosis in AML remained less understood.
Methods: We downloaded three public datasets and constructed a signature of TCGA cohort using the least absolute shrinkage and selection operator (LASSO) Cox regression model to predict the overall survival of AML patients. Samples from the GEO database were treated as a validation cohort. Gone through LASSO-Cox regression analysis, an 8-PRG-related signature was developed. Used the median score from the signature, we classified patients in two subgroups. Subsequently, we employed univariate COX, multivariate Cox regression, ROC analysis and constructed a nomogram, Finally, differential analysis, GO and KEGG functional analysis, ESTIMATE algorithm and CIBERSORT algorithm were used to explore the difference between two groups.
Results: The expression levels of 90.9% pyroptosis-related genes (PRGs) had significant difference compared AML with normal tissues. The results of univariate COX regression analysis demonstrated 10 differentially expressed genes (DEGs) were associated with patients’ OS (p < 0.05). Then, we found OS of patients in the low-risk group was more likely to be lengthened compared with their high-risk counterparts (P < 0.05 both in the TCGA and GEO cohort). After controlling clinical factors, the risk score could still remain an independent predictive element (HR > 1, P < 0.001) of OS in multivariate Cox regression analysis. Furthermore, a nomogram with prognostic value for AML was thus established. Time-dependent ROC analysis proved the predictive power of the signature. Functional analysis suggested that DEGs were mainly concentrated in immune-related pathways, such as humoral immune response and T cell proliferation. TME scores and risk scores were strongly correlated and immune status differed between the risk subgroups.
Conclusion: A novel PRG-related signature was established to forecast the prognosis in AML, and pyroptosis may be a potential therapeutic target for AML.
Keywords: acute myelogenous leukemia, pyroptosis, gene signature, tumor immune micro-environment, prognosis