Identification of autophagy-associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysis

Jing Zhang; Ying-Jun Wang; Yan-Qiu Han

doi:10.3389/fonc.2022.1074057

Identification of autophagy-associated genes and prognostic implications in adults with acute myeloid leukemia by integrated bioinformatics analysis

Front Oncol. 2023 Jan 13:12:1074057. doi: 10.3389/fonc.2022.1074057. eCollection 2022.

Authors

Jing Zhang^{1

2}, Ying-Jun Wang^{2

3}, Yan-Qiu Han^{1

2

3}

Affiliations

¹ Department of Hematology, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
² National Clinical Research Center for Hematologic diseases, the First Affiliated Hospital of Soochow University, Suzhou, China.
³ Department of Laboratory Medicine, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.

Abstract

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.

Keywords: acute myeloid leukemia; autophagy; bioinforamtics; biomarker; prognosis.

Grants and funding

The work was supported by grants from the Natural Science Foundation of Inner Mongolia (2020BS08011), the PhD Initial Funding Project of the Affiliated Hospital of Inner Mongolia Medical University (NYFYBS202109), and Translational Research Grant of NCRCH (2021WWB06).