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Comprehensively analyze the expression and prognostic role for ten-eleven translocations (TETs) in acute myeloid leukemia

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 Anal...

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Autores principales: Huang, Yan, Wei, Jie, Huang, Xunjun, Zhou, Weijie, Xu, Yuling, Deng, Dong-Hong, Cheng, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798779/
https://www.ncbi.nlm.nih.gov/pubmed/35117329
http://dx.doi.org/10.21037/tcr-20-3149
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author Huang, Yan
Wei, Jie
Huang, Xunjun
Zhou, Weijie
Xu, Yuling
Deng, Dong-Hong
Cheng, Peng
author_facet Huang, Yan
Wei, Jie
Huang, Xunjun
Zhou, Weijie
Xu, Yuling
Deng, Dong-Hong
Cheng, Peng
author_sort Huang, Yan
collection PubMed
description 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. MiWalK identified miRNAs, miTarbase, and TargetScan. Transcription factor (TF) targets were analyzed via ChEA3. GSCAlite analyzed the role of these defined genes in cancer pathways and potential drug targets. Finally, we selected AML patients in our department to investigate the mutated types of TETs. RESULTS: TETs expression level results showed TET1 (P=0.003) and TET2 (P=0.004) overexpressed in Haferlach leukemia samples, TET3 (P=4.04e-8) downregulation in Andersson leukemia samples. TET2 and TET3 overexpression but TET1 downregulation in the GEPIA database. Overexpression of TET2 leads to positive outcomes (P=0.0091). The upregulation of TET2 led to poor survival for CN-AML patients, but downregulation of TET3 indicated a satisfactory prognosis. The hypermethylation of TETs like cg24705708 (P=0.036), cg05976228 (P=0.022), cg19127638 (P=0.022), cg15254238 (P=0.025), cg07669489 (P=0.037) indicate poor outcomes. Overexpression of GALNS (P=0.024) as an adverse biomarker, downregulation of E2F5 (P=0.037), MAP7 (P=0.019), and NRIP1 (P=0.0013) indicated good prognosis. Regulatory network analysis indicated TETs’ functions, including covalent chromatin modification, histone modification, DNA methylation, or demethylation. Enrichment functions involving. TETs participate in several cancer pathways, including DNA repair response and receptor tyrosine kinase (RTK) signaling pathway. TETs are sensitive to belinostat, ceranib-2, docetaxel, tivantinib, and vincristine. CONCLUSION: Present study showed that TETs have different expressions in AML, and the expression levels of TETs lead to different outcomes of AML. The TETs cancer pathway analysis will also provide potential therapy methods for AML patients with TETs aberrations.
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spelling pubmed-87987792022-02-02 Comprehensively analyze the expression and prognostic role for ten-eleven translocations (TETs) in acute myeloid leukemia Huang, Yan Wei, Jie Huang, Xunjun Zhou, Weijie Xu, Yuling Deng, Dong-Hong Cheng, Peng Transl Cancer Res Original Article 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. MiWalK identified miRNAs, miTarbase, and TargetScan. Transcription factor (TF) targets were analyzed via ChEA3. GSCAlite analyzed the role of these defined genes in cancer pathways and potential drug targets. Finally, we selected AML patients in our department to investigate the mutated types of TETs. RESULTS: TETs expression level results showed TET1 (P=0.003) and TET2 (P=0.004) overexpressed in Haferlach leukemia samples, TET3 (P=4.04e-8) downregulation in Andersson leukemia samples. TET2 and TET3 overexpression but TET1 downregulation in the GEPIA database. Overexpression of TET2 leads to positive outcomes (P=0.0091). The upregulation of TET2 led to poor survival for CN-AML patients, but downregulation of TET3 indicated a satisfactory prognosis. The hypermethylation of TETs like cg24705708 (P=0.036), cg05976228 (P=0.022), cg19127638 (P=0.022), cg15254238 (P=0.025), cg07669489 (P=0.037) indicate poor outcomes. Overexpression of GALNS (P=0.024) as an adverse biomarker, downregulation of E2F5 (P=0.037), MAP7 (P=0.019), and NRIP1 (P=0.0013) indicated good prognosis. Regulatory network analysis indicated TETs’ functions, including covalent chromatin modification, histone modification, DNA methylation, or demethylation. Enrichment functions involving. TETs participate in several cancer pathways, including DNA repair response and receptor tyrosine kinase (RTK) signaling pathway. TETs are sensitive to belinostat, ceranib-2, docetaxel, tivantinib, and vincristine. CONCLUSION: Present study showed that TETs have different expressions in AML, and the expression levels of TETs lead to different outcomes of AML. The TETs cancer pathway analysis will also provide potential therapy methods for AML patients with TETs aberrations. AME Publishing Company 2020-11 /pmc/articles/PMC8798779/ /pubmed/35117329 http://dx.doi.org/10.21037/tcr-20-3149 Text en 2020 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Original Article
Huang, Yan
Wei, Jie
Huang, Xunjun
Zhou, Weijie
Xu, Yuling
Deng, Dong-Hong
Cheng, Peng
Comprehensively analyze the expression and prognostic role for ten-eleven translocations (TETs) in acute myeloid leukemia
title Comprehensively analyze the expression and prognostic role for ten-eleven translocations (TETs) in acute myeloid leukemia
title_full Comprehensively analyze the expression and prognostic role for ten-eleven translocations (TETs) in acute myeloid leukemia
title_fullStr Comprehensively analyze the expression and prognostic role for ten-eleven translocations (TETs) in acute myeloid leukemia
title_full_unstemmed Comprehensively analyze the expression and prognostic role for ten-eleven translocations (TETs) in acute myeloid leukemia
title_short Comprehensively analyze the expression and prognostic role for ten-eleven translocations (TETs) in acute myeloid leukemia
title_sort comprehensively analyze the expression and prognostic role for ten-eleven translocations (tets) in acute myeloid leukemia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798779/
https://www.ncbi.nlm.nih.gov/pubmed/35117329
http://dx.doi.org/10.21037/tcr-20-3149
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