DNA methylation-based prognostic biomarkers of acute myeloid leukemia patients
| Autor: | Junjun Zhao, Linjun Hu, Xiangmin Tong, Zunqiang Xiao, Yuling Gao, Yang Liu, Qiuran Xu, Jiayin Lou, Zhan Shi |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Myeloid Myeloid leukemia General Medicine Methylation Biology 03 medical and health sciences 030104 developmental biology 0302 clinical medicine medicine.anatomical_structure 030220 oncology & carcinogenesis DNA methylation Gene expression Cancer research medicine Original Article Epigenetics KEGG Gene |
| Zdroj: | Annals of Translational Medicine. 7:737-737 |
| ISSN: | 2305-5847 2305-5839 |
| Popis: | Background: Acute myeloid leukemia (AML) is a heterogeneous clonal disease that prevents normal myeloid differentiation with its common features. Its incidence increases with age and has a poor prognosis. Studies have shown that DNA methylation and abnormal gene expression are closely related to AML. Methods: The methylation array data and mRNA array data are from the Gene Expression Omnibus (GEO) database. Through the GEO data, we identified differential genes from tumors and normal samples. Then we performed Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses on these differential genes. Protein-protein interaction (PPI) network construction and module analysis were performed to screen the highest-scoring modules. Next, we used SurvExpress software to analyze the genes in the highest-scoring module and selected potential prognostic genes by univariate and multivariate Cox analysis. Finally, the three genes screened by SurvExpress software were analyzed using the methylation analysis site MethSurv to explore AML associated methylation biomarkers. Results: We found three genes that can be used as independent prognostic factors for AML. These three genes are the low expression/methylation genes ATP11A and ITGAM, and the high expression/low methylation gene ZNRF2. Conclusions: In this study, we performed a comprehensive analysis of DNA methylation and gene expression to identify key epigenetic genes in AML. |
| Databáze: | OpenAIRE |
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