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Functional-genetic dissection of HDAC dependencies in mouse lymphoid and myeloid malignancies

Overview of attention for article published in Blood, October 2015
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Title
Functional-genetic dissection of HDAC dependencies in mouse lymphoid and myeloid malignancies
Published in
Blood, October 2015
DOI 10.1182/blood-2015-03-632984
Pubmed ID
Authors

Geoffrey M Matthews, Parinaz Mehdipour, Leonie A Cluse, Katrina J Falkenberg, Eric Wang, Mareike Roth, Fabio Santoro, Eva Vidacs, Kym Stanley, Colin M House, James R Rusche, Christopher R Vakoc, Johannes Zuber, Saverio Minucci, Ricky W Johnstone

Abstract

Histone deacetylase inhibitors have demonstrated activity in hematological and solid malignancies. Vorinostat, romidepsin, belinostat and panobinostat are FDA-approved for hematological malignancies and inhibit class II and/or class I HDACs including HDAC1, 2, 3 and 6. We combined genetic and pharmacological approaches to investigate whether suppression of individual or multiple Hdacs phenocopied broad-acting HDACi in three genetically distinct leukemias and lymphomas. Individual Hdacs were depleted in murine AMLs (MLL-AF9;Nras(G12D); PML-RARα APL) and Eμ-Myc lymphoma in vitro and in vivo. Strikingly, Hdac3-depleted cells were selected against in competitive assays for all three tumor types. Decreased proliferation following Hdac3 knockdown was not prevented by BCL-2 over-expression, caspase inhibition or knockout of Cdkn1a in Eμ-Myc lymphoma and depletion of Hdac3 in vivo significantly reduced tumor burden. Interestingly, APL cells depleted of Hdac3 demonstrated a more differentiated phenotype. Consistent with these genetic studies, the HDAC3 inhibitor RGFP966 reduced proliferation of Eμ-Myc lymphoma and induced differentiation in APL. Genetic co-depletion of Hdac1 with Hdac2 was pro-apoptotic in Eμ-Myc lymphoma in vitro and in vivo and was phenocopied by the HDAC1/2-specific agent RGFP233. This study demonstrates the importance of HDAC3 for the proliferation of leukemia and lymphoma cells suggesting that HDAC3-selective inhibitors could prove useful for the treatment of hematological malignancies. Moreover, our results demonstrate that co-depletion of Hdac1 with Hdac2 mediates a robust pro-apoptotic response. Our integrated genetic and pharmacological approach provides important insights into the individual or combinations of HDACs that could be prioritized for targeting in a range of hematological malignancies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Austria 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 11 19%
Student > Bachelor 6 11%
Student > Master 6 11%
Student > Doctoral Student 4 7%
Other 9 16%
Unknown 5 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 33%
Agricultural and Biological Sciences 14 25%
Medicine and Dentistry 9 16%
Immunology and Microbiology 2 4%
Business, Management and Accounting 2 4%
Other 3 5%
Unknown 8 14%
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 09 October 2015.
All research outputs
#16,722,913
of 25,377,790 outputs
Outputs from Blood
#27,198
of 33,240 outputs
Outputs of similar age
#164,272
of 289,728 outputs
Outputs of similar age from Blood
#131
of 211 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,240 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 17th percentile – i.e., 17% 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 289,728 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.