NET-related gene signature for predicting AML prognosis
Abstract Acute Myeloid Leukemia (AML) is a malignant blood cancer with a high mortality rate. Neutrophil extracellular traps (NETs) influence various tumor outcomes. However, NET-related genes (NRGs) in AML had not yet received much attention. This study focuses on the role of NRGs in AML and their...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-59464-y |
| _version_ | 1797199406691254272 |
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| author | Jiajia Wang Huiping Wang Yangyang Ding Xunyi Jiao Jinli Zhu Zhimin Zhai |
| author_facet | Jiajia Wang Huiping Wang Yangyang Ding Xunyi Jiao Jinli Zhu Zhimin Zhai |
| author_sort | Jiajia Wang |
| collection | DOAJ |
| description | Abstract Acute Myeloid Leukemia (AML) is a malignant blood cancer with a high mortality rate. Neutrophil extracellular traps (NETs) influence various tumor outcomes. However, NET-related genes (NRGs) in AML had not yet received much attention. This study focuses on the role of NRGs in AML and their interaction with the immunological microenvironment. The gene expression and clinical data of patients with AML were downloaded from the TCGA-LAML and GEO cohorts. We identified 148 NRGs through the published article. Univariate Cox regression was used to analyze the association of NRGs with overall survival (OS). The least absolute shrinkage and selection operator were utilized to assess the predictive efficacy of NRGs. Kaplan–Meier plots visualized survival estimates. ROC curves assessed the prognostic value of NRG-based features. A nomogram, integrating clinical information and prognostic scores of patients, was constructed using multivariate logistic regression and Cox proportional hazards regression models. Twenty-seven NRGs were found to significantly impact patient OS. Six NRGs—CFTR, ENO1, PARVB, DDIT4, MPO, LDLR—were notable for their strong predictive ability regarding patient survival. The ROC values for 1-, 3-, and 5-year survival rates were 0.794, 0.781, and 0.911, respectively. In the training set (TCGA-LAML), patients in the high NRG risk group showed a poorer prognosis (p < 0.001), which was validated in two external datasets (GSE71014 and GSE106291). The 6-NRG signature and corresponding nomograms exhibit superior predictive accuracy, offering insights for pre-immune response evaluation and guiding future immuno-oncology treatments and drug selection for AML patients. |
| first_indexed | 2024-04-24T07:15:15Z |
| format | Article |
| id | doaj.art-76d5e7932f1c47db8ea87159079e4a91 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-24T07:15:15Z |
| publishDate | 2024-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-76d5e7932f1c47db8ea87159079e4a912024-04-21T11:19:39ZengNature PortfolioScientific Reports2045-23222024-04-0114111210.1038/s41598-024-59464-yNET-related gene signature for predicting AML prognosisJiajia Wang0Huiping Wang1Yangyang Ding2Xunyi Jiao3Jinli Zhu4Zhimin Zhai5Department of Hematology, The Second Affiliated Hospital of Anhui Medical UniversityDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical UniversityDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical UniversityDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical UniversityDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical UniversityDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical UniversityAbstract Acute Myeloid Leukemia (AML) is a malignant blood cancer with a high mortality rate. Neutrophil extracellular traps (NETs) influence various tumor outcomes. However, NET-related genes (NRGs) in AML had not yet received much attention. This study focuses on the role of NRGs in AML and their interaction with the immunological microenvironment. The gene expression and clinical data of patients with AML were downloaded from the TCGA-LAML and GEO cohorts. We identified 148 NRGs through the published article. Univariate Cox regression was used to analyze the association of NRGs with overall survival (OS). The least absolute shrinkage and selection operator were utilized to assess the predictive efficacy of NRGs. Kaplan–Meier plots visualized survival estimates. ROC curves assessed the prognostic value of NRG-based features. A nomogram, integrating clinical information and prognostic scores of patients, was constructed using multivariate logistic regression and Cox proportional hazards regression models. Twenty-seven NRGs were found to significantly impact patient OS. Six NRGs—CFTR, ENO1, PARVB, DDIT4, MPO, LDLR—were notable for their strong predictive ability regarding patient survival. The ROC values for 1-, 3-, and 5-year survival rates were 0.794, 0.781, and 0.911, respectively. In the training set (TCGA-LAML), patients in the high NRG risk group showed a poorer prognosis (p < 0.001), which was validated in two external datasets (GSE71014 and GSE106291). The 6-NRG signature and corresponding nomograms exhibit superior predictive accuracy, offering insights for pre-immune response evaluation and guiding future immuno-oncology treatments and drug selection for AML patients.https://doi.org/10.1038/s41598-024-59464-yNeutrophil extracellular trapsAMLPrognostic modelTumor microenvironmentImmunotherapy |
| spellingShingle | Jiajia Wang Huiping Wang Yangyang Ding Xunyi Jiao Jinli Zhu Zhimin Zhai NET-related gene signature for predicting AML prognosis Scientific Reports Neutrophil extracellular traps AML Prognostic model Tumor microenvironment Immunotherapy |
| title | NET-related gene signature for predicting AML prognosis |
| title_full | NET-related gene signature for predicting AML prognosis |
| title_fullStr | NET-related gene signature for predicting AML prognosis |
| title_full_unstemmed | NET-related gene signature for predicting AML prognosis |
| title_short | NET-related gene signature for predicting AML prognosis |
| title_sort | net related gene signature for predicting aml prognosis |
| topic | Neutrophil extracellular traps AML Prognostic model Tumor microenvironment Immunotherapy |
| url | https://doi.org/10.1038/s41598-024-59464-y |
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