Identification of autophagy-associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysis
Acute myeloid leukemia (AML) is one of the most common malignant blood neoplasma in adults. The prominent disease heterogeneity makes it challenging to foresee patient survival. Autophagy, a highly conserved degradative process, played indispensable and context-dependent roles in AML. However, it re...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.1074057/full |
| _version_ | 1797951919330689024 |
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| author | Jing Zhang Jing Zhang Ying-Jun Wang Ying-Jun Wang Yan-Qiu Han Yan-Qiu Han Yan-Qiu Han |
| author_facet | Jing Zhang Jing Zhang Ying-Jun Wang Ying-Jun Wang Yan-Qiu Han Yan-Qiu Han Yan-Qiu Han |
| author_sort | Jing Zhang |
| collection | DOAJ |
| description | Acute myeloid leukemia (AML) is one of the most common malignant blood neoplasma in adults. The prominent disease heterogeneity makes it challenging to foresee patient survival. Autophagy, a highly conserved degradative process, played indispensable and context-dependent roles in AML. However, it remains elusive whether autophagy-associated stratification could accurately predict prognosis of AML patients. Here, we developed a prognostic model based on autophagy-associated genes, and constructed scoring systems that help to predicte the survival of AML patients in both TCGA data and independent AML cohorts. The Nomogram model also confirmed the autophagy-associated model by showing the high concordance between observed and predicted survivals. Additionally, pathway enrichment analysis and protein-protein interaction network unveiled functional signaling pathways that were associated with autophagy. Altogether, we constructed the autophagy-associated prognostic model that might be likely to predict outcome for AML patients, providing insights into the biological risk stratification strategies and potential therapeutic targets. |
| first_indexed | 2024-04-10T22:39:18Z |
| format | Article |
| id | doaj.art-3330e5305e544830a2606d1783e29be2 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-10T22:39:18Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-3330e5305e544830a2606d1783e29be22023-01-16T08:59:39ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-01-011210.3389/fonc.2022.10740571074057Identification of autophagy-associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysisJing Zhang0Jing Zhang1Ying-Jun Wang2Ying-Jun Wang3Yan-Qiu Han4Yan-Qiu Han5Yan-Qiu Han6Department of Hematology, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, ChinaNational Clinical Research Center for Hematologic diseases, the First Affiliated Hospital of Soochow University, Suzhou, ChinaNational Clinical Research Center for Hematologic diseases, the First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Laboratory Medicine, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, ChinaDepartment of Hematology, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, ChinaNational Clinical Research Center for Hematologic diseases, the First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Laboratory Medicine, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, ChinaAcute myeloid leukemia (AML) is one of the most common malignant blood neoplasma in adults. The prominent disease heterogeneity makes it challenging to foresee patient survival. Autophagy, a highly conserved degradative process, played indispensable and context-dependent roles in AML. However, it remains elusive whether autophagy-associated stratification could accurately predict prognosis of AML patients. Here, we developed a prognostic model based on autophagy-associated genes, and constructed scoring systems that help to predicte the survival of AML patients in both TCGA data and independent AML cohorts. The Nomogram model also confirmed the autophagy-associated model by showing the high concordance between observed and predicted survivals. Additionally, pathway enrichment analysis and protein-protein interaction network unveiled functional signaling pathways that were associated with autophagy. Altogether, we constructed the autophagy-associated prognostic model that might be likely to predict outcome for AML patients, providing insights into the biological risk stratification strategies and potential therapeutic targets.https://www.frontiersin.org/articles/10.3389/fonc.2022.1074057/fullacute myeloid leukemiaautophagyprognosisbiomarkerbioinforamtics |
| spellingShingle | Jing Zhang Jing Zhang Ying-Jun Wang Ying-Jun Wang Yan-Qiu Han Yan-Qiu Han Yan-Qiu Han Identification of autophagy-associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysis Frontiers in Oncology acute myeloid leukemia autophagy prognosis biomarker bioinforamtics |
| title | Identification of autophagy-associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysis |
| title_full | Identification of autophagy-associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysis |
| title_fullStr | Identification of autophagy-associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysis |
| title_full_unstemmed | Identification of autophagy-associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysis |
| title_short | Identification of autophagy-associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysis |
| title_sort | identification of autophagy associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysis |
| topic | acute myeloid leukemia autophagy prognosis biomarker bioinforamtics |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.1074057/full |
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