A novel N7-Methylguanine-related gene signature for predicting prognosis in acute myeloid leukemia: bioinformatic analysis and experimental verification
Background: The involvement of N7-Methylguanine (m7G) RNA methylation regulators in the progression of different types of solid cancers in humans has been established. However, the specific impact of m7G-related genes on Acute myeloid leukemia (AML) remains uncertain. Our research aims to build a no...
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Taylor & Francis Group
2024-12-01
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| Series: | Hematology |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/16078454.2024.2433905 |
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| _version_ | 1850061222821494784 |
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| author | Ranran Zhao Lulu Yang Chenchen Liu Ruoyu Jiang Qianlei Huang Qin Wang Xiaojin Wu |
| author_facet | Ranran Zhao Lulu Yang Chenchen Liu Ruoyu Jiang Qianlei Huang Qin Wang Xiaojin Wu |
| author_sort | Ranran Zhao |
| collection | DOAJ |
| description | Background: The involvement of N7-Methylguanine (m7G) RNA methylation regulators in the progression of different types of solid cancers in humans has been established. However, the specific impact of m7G-related genes on Acute myeloid leukemia (AML) remains uncertain. Our research aims to build a novel signature of M7Gs that could enhance our understanding of the molecular heterogeneity in leukemia.Methods: The RNA-seq and clinical data of patients with AML were acquired from the UCSC XENA website. Prognostic-related genes were selected using LASSO to construct a risk-scoring model. External datasets were utilized to validate the effectiveness of the model, and the mRNA expressions of candidate genes were measured using RT-qPCR.Results: A prognostic model was developed using a risk-scoring approach based on three candidate genes (IFIT5, EIF4E2, and LARP1) and their respective risk coefficients. Multivariate Cox regression analysis revealed a significant association between the risk score and overall survival (p<0.001). In both the experimental and validation cohorts, individuals classified as high risk exhibited a poorer prognosis. The 5-year area under the curve (AUC) was calculated as 0.715 for the TCGA-LAML cohort and 0.646 for GSE37642. Additionally, analysis using ssGSEA demonstrated that the high-risk group exhibited higher levels of immune cell infiltration compared to low-risk group. RT-qPCR results indicated that the expression levels of LARP1, EIF4E2 and IFIT5 were consistent with the results of the bioinformatic analysis.Conclusions: In summary, the m7G-related genes are potential prognostic biomarkers for patients with AML. |
| format | Article |
| id | doaj-art-2e52d41ebac74acbb8dbc785d6ec1d1a |
| institution | DOAJ |
| issn | 1607-8454 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Hematology |
| spelling | doaj-art-2e52d41ebac74acbb8dbc785d6ec1d1a2025-08-20T02:50:19ZengTaylor & Francis GroupHematology1607-84542024-12-0129110.1080/16078454.2024.2433905A novel N7-Methylguanine-related gene signature for predicting prognosis in acute myeloid leukemia: bioinformatic analysis and experimental verificationRanran Zhao0Lulu Yang1Chenchen Liu2Ruoyu Jiang3Qianlei Huang4Qin Wang5Xiaojin Wu6Department of Hematology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, People’s Republic of ChinaDepartment of Hematology, Ninghai First Hospital, Ningbo, People’s Republic of ChinaNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, People’s Republic of ChinaDepartment of Hematology, BenQ Medical Center, Suzhou, People’s Republic of ChinaDepartment of Hematology, The First Affiliated Hospital of Hainan Medical College, Haikou, People’s Republic of ChinaDepartment of Immunology, School of Basic Medicine, Suzhou Medical College of Soochow University, Suzhou, People’s Republic of ChinaNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, People’s Republic of ChinaBackground: The involvement of N7-Methylguanine (m7G) RNA methylation regulators in the progression of different types of solid cancers in humans has been established. However, the specific impact of m7G-related genes on Acute myeloid leukemia (AML) remains uncertain. Our research aims to build a novel signature of M7Gs that could enhance our understanding of the molecular heterogeneity in leukemia.Methods: The RNA-seq and clinical data of patients with AML were acquired from the UCSC XENA website. Prognostic-related genes were selected using LASSO to construct a risk-scoring model. External datasets were utilized to validate the effectiveness of the model, and the mRNA expressions of candidate genes were measured using RT-qPCR.Results: A prognostic model was developed using a risk-scoring approach based on three candidate genes (IFIT5, EIF4E2, and LARP1) and their respective risk coefficients. Multivariate Cox regression analysis revealed a significant association between the risk score and overall survival (p<0.001). In both the experimental and validation cohorts, individuals classified as high risk exhibited a poorer prognosis. The 5-year area under the curve (AUC) was calculated as 0.715 for the TCGA-LAML cohort and 0.646 for GSE37642. Additionally, analysis using ssGSEA demonstrated that the high-risk group exhibited higher levels of immune cell infiltration compared to low-risk group. RT-qPCR results indicated that the expression levels of LARP1, EIF4E2 and IFIT5 were consistent with the results of the bioinformatic analysis.Conclusions: In summary, the m7G-related genes are potential prognostic biomarkers for patients with AML.https://www.tandfonline.com/doi/10.1080/16078454.2024.2433905Acute myeloid leukemiaN7-Methylguanine RNA methylationprognostic signatureLASSO cox regression analysisimmune cell infiltrationreal-time quantitative PCR |
| spellingShingle | Ranran Zhao Lulu Yang Chenchen Liu Ruoyu Jiang Qianlei Huang Qin Wang Xiaojin Wu A novel N7-Methylguanine-related gene signature for predicting prognosis in acute myeloid leukemia: bioinformatic analysis and experimental verification Hematology Acute myeloid leukemia N7-Methylguanine RNA methylation prognostic signature LASSO cox regression analysis immune cell infiltration real-time quantitative PCR |
| title | A novel N7-Methylguanine-related gene signature for predicting prognosis in acute myeloid leukemia: bioinformatic analysis and experimental verification |
| title_full | A novel N7-Methylguanine-related gene signature for predicting prognosis in acute myeloid leukemia: bioinformatic analysis and experimental verification |
| title_fullStr | A novel N7-Methylguanine-related gene signature for predicting prognosis in acute myeloid leukemia: bioinformatic analysis and experimental verification |
| title_full_unstemmed | A novel N7-Methylguanine-related gene signature for predicting prognosis in acute myeloid leukemia: bioinformatic analysis and experimental verification |
| title_short | A novel N7-Methylguanine-related gene signature for predicting prognosis in acute myeloid leukemia: bioinformatic analysis and experimental verification |
| title_sort | novel n7 methylguanine related gene signature for predicting prognosis in acute myeloid leukemia bioinformatic analysis and experimental verification |
| topic | Acute myeloid leukemia N7-Methylguanine RNA methylation prognostic signature LASSO cox regression analysis immune cell infiltration real-time quantitative PCR |
| url | https://www.tandfonline.com/doi/10.1080/16078454.2024.2433905 |
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