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...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
|
Series: | BMC Cancer |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12885-025-13439-y |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832594600681799680 |
---|---|
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. |
format | Article |
id | doaj-art-17209b4b29464a028bf25ab51a6f1c92 |
institution | Kabale University |
issn | 1471-2407 |
language | English |
publishDate | 2025-01-01 |
publisher | BMC |
record_format | Article |
series | BMC Cancer |
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 |
work_keys_str_mv | AT dakewen screeningofnecroptosisrelatedgenesandevaluatingtheprognosticcapacityclinicalvalueandtheeffectoftheircopynumbervariationsinacutemyeloidleukemia AT ruyan screeningofnecroptosisrelatedgenesandevaluatingtheprognosticcapacityclinicalvalueandtheeffectoftheircopynumbervariationsinacutemyeloidleukemia AT linzhang screeningofnecroptosisrelatedgenesandevaluatingtheprognosticcapacityclinicalvalueandtheeffectoftheircopynumbervariationsinacutemyeloidleukemia AT haoyangzhang screeningofnecroptosisrelatedgenesandevaluatingtheprognosticcapacityclinicalvalueandtheeffectoftheircopynumbervariationsinacutemyeloidleukemia AT xuyangchen screeningofnecroptosisrelatedgenesandevaluatingtheprognosticcapacityclinicalvalueandtheeffectoftheircopynumbervariationsinacutemyeloidleukemia AT jianzhou screeningofnecroptosisrelatedgenesandevaluatingtheprognosticcapacityclinicalvalueandtheeffectoftheircopynumbervariationsinacutemyeloidleukemia |