Screen and evaluate the prognostic capacity and clinical value of Necroptosis-related Genes in acute myeloid leukemia

Abstract

Abstract Background：Acute myeloid leukemia (AML) is an aggressive hematological neoplasm. Little improvement in survival rates has been achieved over the past few decades. Necroptosis has relationship with certain types of malignancies outcomes. Here, we evaluated the diagnostic ability and prognostic value of necroptosis-related genes (NRGs) in AML through bioinformatics analysis. Methods：Necroptosis-related differentially expressed genes (NRDEGs) were acquired after intersecting Differentially expressed genes (DEGs) from Gene Expression Omnibus(GEO) database with NRGs from GeneCards, Molecular Signatures Database (MsigDB) and literatures. Diagnosis models were constructed and hub-NRDEGs were obtained. Immune infiltration was analyzed. Kaplan–Meier(K-M) survival analyses was utilized to evaluate the prognostic values along with COX model. Results：6 hub-NRDEGs were obtained. Gene RAPR1 showed inversely related with CD56dim natural killer cell (CD56dim NK cell) and CTSS positive with MDSCs. Gene ZNF217 showed significant difference in duration of survival in AML patients. Cox regression models revealed the 6 hub-NRDEGs had better predictive power at year 1 and year 5. Conclusion：The screened NRDEGs might provide potential diagnostic biomarkers and treatment targets for AML patients.