The signature based on seven genomic instability-related genes could predict the prognosis of acute myeloid leukemia patients
Background Acute myeloid leukemia (AML) is the most common acute blood malignancy in adults. The complicated and dynamic genomic instability (GI) is the most prominent feature of AML. Our study aimed to explore the prognostic value of GI-related genes in AML patients.Methods The mRNA data and mutati...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Hematology |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/16078454.2022.2107970 |
| _version_ | 1828517984281296896 |
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| author | Lirong Nie Yuming Zhang Yuchan You Changmei Lin Qinghua Li Wenbo Deng Jingzhi Ma Wenying Luo Honghua He |
| author_facet | Lirong Nie Yuming Zhang Yuchan You Changmei Lin Qinghua Li Wenbo Deng Jingzhi Ma Wenying Luo Honghua He |
| author_sort | Lirong Nie |
| collection | DOAJ |
| description | Background Acute myeloid leukemia (AML) is the most common acute blood malignancy in adults. The complicated and dynamic genomic instability (GI) is the most prominent feature of AML. Our study aimed to explore the prognostic value of GI-related genes in AML patients.Methods The mRNA data and mutation data were downloaded from the TCGA and GEO databases. Differential expression analyses were completed in limma package. GO and KEGG functional enrichment was conducted using clusterProfiler function of R. Univariate Cox and LASSO Cox regression analyses were performed to screen key genes for Risk score model construction. Nomogram was built with rms package.Results We identified 114 DEGs between high TMB patients and low TMB AML patients, which were significantly enriched in 429 GO terms and 13 KEGG pathways. Based on the univariate Cox and LASSO Cox regression analyses, seven optimal genes were finally applied for Risk score model construction, including SELE, LGALS1, ITGAX, TMEM200A, SLC25A21, S100A4 and CRIP1. The Risk score could reliably predict the prognosis of AML patients. Age and Risk score were both independent prognostic indicators for AML, and the Nomogram based on them could also reliably predict the OS of AML patients.Conclusions A prognostic signature based on seven GI-related genes and a predictive Nomogram for AML patients are finally successfully constructed. |
| first_indexed | 2024-12-11T18:48:59Z |
| format | Article |
| id | doaj.art-b892a3f134bc4e309c6bf0f6c11f25fc |
| institution | Directory Open Access Journal |
| issn | 1607-8454 |
| language | English |
| last_indexed | 2024-12-11T18:48:59Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Hematology |
| spelling | doaj.art-b892a3f134bc4e309c6bf0f6c11f25fc2022-12-22T00:54:21ZengTaylor & Francis GroupHematology1607-84542022-12-0127184084810.1080/16078454.2022.2107970The signature based on seven genomic instability-related genes could predict the prognosis of acute myeloid leukemia patientsLirong Nie0Yuming Zhang1Yuchan You2Changmei Lin3Qinghua Li4Wenbo Deng5Jingzhi Ma6Wenying Luo7Honghua He8Department of Hematology, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, People’s Republic of ChinaDepartment of Hematology, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, People’s Republic of ChinaGuangdong Medical University, Zhanjiang, People’s Republic of ChinaGuangdong Medical University, Zhanjiang, People’s Republic of ChinaDepartment of Hematology, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, People’s Republic of ChinaDepartment of Hematology, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, People’s Republic of ChinaDepartment of Hematology, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, People’s Republic of ChinaDepartment of Clinical Laboratory, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, People’s Republic of ChinaDepartment of Hematology, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, People’s Republic of ChinaBackground Acute myeloid leukemia (AML) is the most common acute blood malignancy in adults. The complicated and dynamic genomic instability (GI) is the most prominent feature of AML. Our study aimed to explore the prognostic value of GI-related genes in AML patients.Methods The mRNA data and mutation data were downloaded from the TCGA and GEO databases. Differential expression analyses were completed in limma package. GO and KEGG functional enrichment was conducted using clusterProfiler function of R. Univariate Cox and LASSO Cox regression analyses were performed to screen key genes for Risk score model construction. Nomogram was built with rms package.Results We identified 114 DEGs between high TMB patients and low TMB AML patients, which were significantly enriched in 429 GO terms and 13 KEGG pathways. Based on the univariate Cox and LASSO Cox regression analyses, seven optimal genes were finally applied for Risk score model construction, including SELE, LGALS1, ITGAX, TMEM200A, SLC25A21, S100A4 and CRIP1. The Risk score could reliably predict the prognosis of AML patients. Age and Risk score were both independent prognostic indicators for AML, and the Nomogram based on them could also reliably predict the OS of AML patients.Conclusions A prognostic signature based on seven GI-related genes and a predictive Nomogram for AML patients are finally successfully constructed.https://www.tandfonline.com/doi/10.1080/16078454.2022.2107970Acute myeloid leukemiagenomic instabilitytumor mutational burdenprognosisnomogramLASSO cox regression analysis |
| spellingShingle | Lirong Nie Yuming Zhang Yuchan You Changmei Lin Qinghua Li Wenbo Deng Jingzhi Ma Wenying Luo Honghua He The signature based on seven genomic instability-related genes could predict the prognosis of acute myeloid leukemia patients Hematology Acute myeloid leukemia genomic instability tumor mutational burden prognosis nomogram LASSO cox regression analysis |
| title | The signature based on seven genomic instability-related genes could predict the prognosis of acute myeloid leukemia patients |
| title_full | The signature based on seven genomic instability-related genes could predict the prognosis of acute myeloid leukemia patients |
| title_fullStr | The signature based on seven genomic instability-related genes could predict the prognosis of acute myeloid leukemia patients |
| title_full_unstemmed | The signature based on seven genomic instability-related genes could predict the prognosis of acute myeloid leukemia patients |
| title_short | The signature based on seven genomic instability-related genes could predict the prognosis of acute myeloid leukemia patients |
| title_sort | signature based on seven genomic instability related genes could predict the prognosis of acute myeloid leukemia patients |
| topic | Acute myeloid leukemia genomic instability tumor mutational burden prognosis nomogram LASSO cox regression analysis |
| url | https://www.tandfonline.com/doi/10.1080/16078454.2022.2107970 |
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