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Leukemia
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Leukemia
Article
License: CC BY
Data sources: UnpayWall
Leukemia
Article . 2022
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PHF6 and JAK3 mutations cooperate to drive T-cell acute lymphoblastic leukemia progression

Authors: Shengnan Yuan; Xiaomin Wang; Shuaibing Hou; Tengxiao Guo; Yanjie Lan; Shuang Yang; Fei Zhao; +6 Authors

PHF6 and JAK3 mutations cooperate to drive T-cell acute lymphoblastic leukemia progression

Abstract

AbstractT-cell acute lymphoblastic leukemia (T-ALL) is a malignant hematologic disease caused by gene mutations in T-cell progenitors. As an important epigenetic regulator, PHF6 mutations frequently coexist with JAK3 mutations in T-ALL patients. However, the role(s) of PHF6 mutations in JAK3-driven leukemia remain unclear. Here, the cooperation between JAK3 activation and PHF6 inactivation is examined in leukemia patients and in mice models. We found that the average survival time is shorter in patients with JAK/STAT and PHF6 comutation than that in other patients, suggesting a potential role of PHF6 in leukemia progression. We subsequently found that Phf6 deficiency promotes JAK3M511I-induced T-ALL progression in mice by inhibiting the Bai1-Mdm2-P53 signaling pathway, which is independent of the JAK3/STAT5 signaling pathway. Furthermore, combination therapy with a JAK3 inhibitor (tofacitinib) and a MDM2 inhibitor (idasanutlin) reduces the Phf6 KO and JAK3M511I leukemia burden in vivo. Taken together, our study suggests that combined treatment with JAK3 and MDM2 inhibitors may potentially increase the drug benefit for T-ALL patients with PHF6 and JAK3 comutation.

Related Organizations
Keywords

Male, Mice, Knockout, Janus Kinase 3, Precursor T-Cell Lymphoblastic Leukemia-Lymphoma, Article, Mice, Inbred C57BL, Repressor Proteins, Mice, Cell Transformation, Neoplastic, Mutation, Animals, Humans, Signal Transduction

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    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
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