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Rheb1 promotes tumor progression through mTORC1 in MLL-AF9-initiated murine acute myeloid leukemia

Overview of attention for article published in Journal of Hematology & Oncology, April 2016
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Title
Rheb1 promotes tumor progression through mTORC1 in MLL-AF9-initiated murine acute myeloid leukemia
Published in
Journal of Hematology & Oncology, April 2016
DOI 10.1186/s13045-016-0264-3
Pubmed ID
Authors

Yanan Gao, Juan Gao, Minghao Li, Yawei Zheng, Yajie Wang, Hongyan Zhang, Weili Wang, Yajing Chu, Xiaomin Wang, Mingjiang Xu, Tao Cheng, Zhenyu Ju, Weiping Yuan

Abstract

The constitutive hyper-activation of phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt)/mammalian target of rapamycin (mTOR) signaling pathways has frequently been associated with acute myeloid leukemia (AML). While many inhibitors targeting these pathways have been developed, the anti-leukemic effect was not as robust as expected. As part of the molecular link between PI3K/Akt and mTOR kinase, the role of Rheb1 in AML remains unexplored. Our study aims to explore the role of Rheb1 in AML and estimate whether Rheb1 could be a potential target of AML treatment. The expressions of Rheb1 and other indicated genes were analyzed using real-time PCR. AML mouse model was established by retrovirus transduction. Leukemia cell properties and related signaling pathways were dissected by in vitro and in vivo studies. The transcriptional changes were analyzed via gene chip analysis. Molecular reagents including mTOR inhibitor and mTOR activator were used to evaluate the function of related signaling pathway in the mouse model. We observed that Rheb1 is overexpressed in AML patients and the change of Rheb1 level in AML patients is associated with their median survival. Using a Rheb1-deficient MLL-AF9 murine AML model, we revealed that Rheb1 deletion prolonged the survival of AML mice by weakening LSC function. In addition, Rheb1 deletion arrested cell cycle progression and enhanced apoptosis of AML cells. Furthermore, while Rheb1 deletion reduced mTORC1 activity in AML cells, additional rapamycin treatment further decreased mTORC1 activity and increased the apoptosis of Rheb1 (Δ/Δ) AML cells. The mTOR activator 3BDO partially rescued mTORC1 signaling and inhibited apoptosis in Rheb1 (Δ/Δ) AML cells. Our data suggest that Rheb1 promotes AML progression through mTORC1 signaling pathway and combinational drug treatments targeting Rheb1 and mTOR might have a better therapeutic effect on leukemia.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Researcher 3 11%
Student > Ph. D. Student 3 11%
Student > Postgraduate 2 7%
Student > Bachelor 1 4%
Other 4 14%
Unknown 10 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 21%
Medicine and Dentistry 3 11%
Agricultural and Biological Sciences 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 13 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2016.
All research outputs
#14,258,962
of 22,865,319 outputs
Outputs from Journal of Hematology & Oncology
#680
of 1,192 outputs
Outputs of similar age
#160,748
of 300,907 outputs
Outputs of similar age from Journal of Hematology & Oncology
#8
of 30 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,192 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,907 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.