Screening of necroptosis-related genes and evaluating the prognostic capacity, clinical value, and the effect of their copy number variations in acute myeloid leukemia

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, prognostic...

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Main Authors: Dake Wen, Ru Yan, Lin Zhang, Haoyang Zhang, Xuyang Chen, Jian Zhou
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Cancer
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Online Access:https://doi.org/10.1186/s12885-025-13439-y
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author Dake Wen
Ru Yan
Lin Zhang
Haoyang Zhang
Xuyang Chen
Jian Zhou
author_facet Dake Wen
Ru Yan
Lin Zhang
Haoyang Zhang
Xuyang Chen
Jian Zhou
author_sort Dake Wen
collection DOAJ
description 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, prognostic capacity of necroptosis-related genes (NRGs) and the effect of their copy number variations (CNVs) in AML. Methods Necroptosis-related differentially expressed genes (NRDEGs) were identified after intersecting differentially expressed genes (DEGs) from the Gene Expression Omnibus(GEO) database with NRGs from GeneCards, the Molecular Signatures Database (MSigDB) and literatures. Machine learning was applied to obtain hub-NRDEGs. The expression levels of the hub-NRDEGs were validated in vitro. The mRNA-miRNA and mRNA-TF interaction networks with the hub-NRDEGs were screened using Cytoscape@. Single-sample gene set enrichment analysis (ssGSEA) was utilized to calculate correlations between the hub-NRDEGs and immune cells. CNV analysis of the hub-NRDEGs was carried out on the TCGA-LAML datasets from the TCGA database. Kaplan–Meier (K-M) survival analyses were utilized to evaluate the prognostic values along with Cox model. Results Six hub-NRDEGs (SLC25A5, PARP1, CTSS, ZNF217, NFKB1, and PYGL) were obtained and their expression changes derived from CNVs in AML were visualized. In total, 65 mRNA-miRNA and 80 mRNA-TF interaction networks with hub-NRDEGs were screened. The ssGSEA result showed the expression of RAPR1 was inversely related to CD56dim natural killer cells and the expression of CTSS was positive related to Myeloid-derived suppressor cells (MDSCs) in AML. The K-M results demonstrated that ZNF217 had significant difference in the duration of survival in AML patients. Cox regression models revealed that the hub-NRDEGs had better predictive power at year-1 and year-5. Conclusion These screened NRDEGs can be exploited as clinical prognostic predictions in AML patients, as well as potential biomarkers for diagnosis and therapeutic targeting.
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spelling doaj-art-17209b4b29464a028bf25ab51a6f1c922025-01-19T12:26:56ZengBMCBMC Cancer1471-24072025-01-0125112110.1186/s12885-025-13439-yScreening of necroptosis-related genes and evaluating the prognostic capacity, clinical value, and the effect of their copy number variations in acute myeloid leukemiaDake Wen0Ru Yan1Lin Zhang2Haoyang Zhang3Xuyang Chen4Jian Zhou5The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Children’s HospitalThe Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Children’s HospitalThe Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Children’s HospitalThe Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Children’s HospitalThe Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Children’s HospitalThe Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Children’s HospitalAbstract 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, prognostic capacity of necroptosis-related genes (NRGs) and the effect of their copy number variations (CNVs) in AML. Methods Necroptosis-related differentially expressed genes (NRDEGs) were identified after intersecting differentially expressed genes (DEGs) from the Gene Expression Omnibus(GEO) database with NRGs from GeneCards, the Molecular Signatures Database (MSigDB) and literatures. Machine learning was applied to obtain hub-NRDEGs. The expression levels of the hub-NRDEGs were validated in vitro. The mRNA-miRNA and mRNA-TF interaction networks with the hub-NRDEGs were screened using Cytoscape@. Single-sample gene set enrichment analysis (ssGSEA) was utilized to calculate correlations between the hub-NRDEGs and immune cells. CNV analysis of the hub-NRDEGs was carried out on the TCGA-LAML datasets from the TCGA database. Kaplan–Meier (K-M) survival analyses were utilized to evaluate the prognostic values along with Cox model. Results Six hub-NRDEGs (SLC25A5, PARP1, CTSS, ZNF217, NFKB1, and PYGL) were obtained and their expression changes derived from CNVs in AML were visualized. In total, 65 mRNA-miRNA and 80 mRNA-TF interaction networks with hub-NRDEGs were screened. The ssGSEA result showed the expression of RAPR1 was inversely related to CD56dim natural killer cells and the expression of CTSS was positive related to Myeloid-derived suppressor cells (MDSCs) in AML. The K-M results demonstrated that ZNF217 had significant difference in the duration of survival in AML patients. Cox regression models revealed that the hub-NRDEGs had better predictive power at year-1 and year-5. Conclusion These screened NRDEGs can be exploited as clinical prognostic predictions in AML patients, as well as potential biomarkers for diagnosis and therapeutic targeting.https://doi.org/10.1186/s12885-025-13439-yNecroptosisAcute myeloid leukemia (AML)Necroptosis-related differentially expressed genes(NRDEGs)Regulated cell death (RCD)Copy number variations (CNVs)
spellingShingle Dake Wen
Ru Yan
Lin Zhang
Haoyang Zhang
Xuyang Chen
Jian Zhou
Screening of necroptosis-related genes and evaluating the prognostic capacity, clinical value, and the effect of their copy number variations in acute myeloid leukemia
BMC Cancer
Necroptosis
Acute myeloid leukemia (AML)
Necroptosis-related differentially expressed genes(NRDEGs)
Regulated cell death (RCD)
Copy number variations (CNVs)
title Screening of necroptosis-related genes and evaluating the prognostic capacity, clinical value, and the effect of their copy number variations in acute myeloid leukemia
title_full Screening of necroptosis-related genes and evaluating the prognostic capacity, clinical value, and the effect of their copy number variations in acute myeloid leukemia
title_fullStr Screening of necroptosis-related genes and evaluating the prognostic capacity, clinical value, and the effect of their copy number variations in acute myeloid leukemia
title_full_unstemmed Screening of necroptosis-related genes and evaluating the prognostic capacity, clinical value, and the effect of their copy number variations in acute myeloid leukemia
title_short Screening of necroptosis-related genes and evaluating the prognostic capacity, clinical value, and the effect of their copy number variations in acute myeloid leukemia
title_sort screening of necroptosis related genes and evaluating the prognostic capacity clinical value and the effect of their copy number variations in acute myeloid leukemia
topic Necroptosis
Acute myeloid leukemia (AML)
Necroptosis-related differentially expressed genes(NRDEGs)
Regulated cell death (RCD)
Copy number variations (CNVs)
url https://doi.org/10.1186/s12885-025-13439-y
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