dc.contributor.author
Li, Minhua
dc.contributor.author
Lan, Feifei
dc.contributor.author
Li, Chen
dc.contributor.author
Li, Ning
dc.contributor.author
Chen, Xiaojie
dc.contributor.author
Zhong, Yueyuan
dc.contributor.author
Yang, Yue
dc.contributor.author
Shao, Yingqi
dc.contributor.author
Kong, Yi
dc.contributor.author
Li, Xinming
dc.date.accessioned
2022-05-20T12:34:15Z
dc.date.available
2022-05-20T12:34:15Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/35112
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-34829
dc.description.abstract
Background. Histone deacetylase 3 (HDAC3) plays an important role in the development and progression of a variety of cancers, but its regulatory mechanism in acute myeloid leukemia (LAML) is not entirely understood. Methods. We analyzed the expression of HDAC3 in normal and cancerous tissues using Oncomine, UALCAN, and GEO databases. Changes of the HDAC3 gene were analyzed by cBioPortal. The genes coexpressed with HDAC3 were analyzed by WebGestalt, and the predicted signaling pathways in KEGG were discussed. Results. We discovered that the expression of HDAC3 was elevated in some types of acute myeloid leukemia. The HDAC3 gene has a strong positive correlation with SLC25A5, NDUFA2, Cox4I1, and EIF3K, which regulate cell growth and development. HDAC3 transcription is higher in patients with FLT3 mutation than in healthy people. HDAC3 can be directly involved in regulating the thyroid hormone signaling pathway. MEF2D is directly involved in the cGMP-PKG signaling pathway, and the HDAC3 gene has a strong synergistic relationship with MEF2D. HDAC3 is indirectly involved in the cGMP-PKG signaling pathway, thereby indirectly regulating the expression levels of p53 and p21 genes in patients with LAML. Genomics of Drug Sensitivity in Cancer (GDSC) database analysis revealed that the application of the HDAC3 inhibitor can inhibit the proliferation of leukemia cells. Conclusions. Therefore, our data suggest that HDAC3 may be a possible therapeutic target for acute myeloid leukemia.
en
dc.format.extent
14 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Acute Myeloid Leukemia
en
dc.subject
Targeted Therapy
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
Expression and Regulation Network of HDAC3 in Acute Myeloid Leukemia and the Implication for Targeted Therapy Based on Multidataset Data Mining
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
4703524
dcterms.bibliographicCitation.doi
10.1155/2022/4703524
dcterms.bibliographicCitation.journaltitle
Computational and Mathematical Methods in Medicine
dcterms.bibliographicCitation.volume
2022
dcterms.bibliographicCitation.url
https://doi.org/10.1155/2022/4703524
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation.other
Institut für Chemie und Biochemie
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1748-6718
refubium.resourceType.provider
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