7283 Original Article Comprehensively analyze the expression and prognostic role for ten-eleven translocations (TETs) in acute myeloid leukemia Yan Huang1#, Jie Wei1#, Xunjun Huang1, Weijie Zhou1, Yuling Xu2, Dong-Hong Deng2, Peng Cheng2 1Department of Hematology and Rheumatology, People’s Hospital of Baise, Baise, China; 2Department of Hematology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China Contributions: (I) Conception and design: J Wei, Y Huang; (II) Administrative support: X Huang, Y Xu; (III) Provision of study materials or patients: W Zhou; (IV) Collection and assembly of data: J Wei, Y Huang; (V) Data analysis and interpretation: DH Deng, P Cheng; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors. #These authors contributed equally to this work. Correspondence to: Yuling Xu. Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. Email:
[email protected]; Dong-Hong Deng. Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. Email:
[email protected]; Peng Cheng. Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530000, China. Email:
[email protected]. Background: The ten-eleven translocation (TET) family oxidize 5-methylcytosines (5mCs) and promote the locus-specific reversal of DNA. The role of TETs in acute myeloid leukemia (AML) is mostly unknown. Methods: TETs mRNA expression levels were analyzed via Gene Expression Profiling Interactive Analysis (GEPIA). The association TETs expression levels and methylation with prognosis by UALCAN GenomicScape, and METHsurv. We analyzed TETs’ aberration types, located mutations, and structures via cBioPortal. GeneMANIA performed the functional network. Gene ontology (GO) enrichment was analyzed via LinkedOmics.