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Clinical use and applications of histone deacetylase inhibitors in multiple myeloma

Overview of attention for article published in Clinical Pharmacology : Advances and Applications, May 2016
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56 Mendeley
Title
Clinical use and applications of histone deacetylase inhibitors in multiple myeloma
Published in
Clinical Pharmacology : Advances and Applications, May 2016
DOI 10.2147/cpaa.s94021
Pubmed ID
Authors

Nidhi Tandon, Vijay Ramakrishnan, Shaji K Kumar

Abstract

The incorporation of various novel therapies has resulted in a significant survival benefit in newly diagnosed and relapsed patients with multiple myeloma (MM) over the past decade. Despite these advances, resistance to therapy leads to eventual relapse and fatal outcomes in the vast majority of patients. Hence, there is an unmet need for new safe and efficacious therapies for continued improvement in outcomes. Given the role of epigenetic aberrations in the pathogenesis and progression of MM and the success of histone deacetylase inhibitors (HDACi) in other malignancies, many HDACi have been tried in MM. Various preclinical studies helped us to understand the antimyeloma activity of different HDACi in MM as a single agent or in combination with conventional, novel, and immune therapies. The early clinical trials of HDACi depicted only modest single-agent activity, but recent studies have revealed encouraging clinical response rates in combination with other antimyeloma agents, especially proteasome inhibitors. This led to the approval of the combination of panobinostat and bortezomib for the treatment of relapsed/refractory MM patients with two prior lines of treatment by the US Food and Drug Administration. However, it remains yet to be defined how we can incorporate HDACi in the current therapeutic paradigms for MM that will help to achieve longer disease control and significant survival benefits. In addition, isoform-selective and/or class-selective HDAC inhibition to reduce unfavorable side effects needs further evaluation.

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X Demographics

The data shown below were collected from the profiles of 3 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 18%
Student > Master 10 18%
Student > Ph. D. Student 9 16%
Student > Doctoral Student 5 9%
Researcher 4 7%
Other 6 11%
Unknown 12 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 21%
Medicine and Dentistry 11 20%
Pharmacology, Toxicology and Pharmaceutical Science 5 9%
Agricultural and Biological Sciences 4 7%
Nursing and Health Professions 4 7%
Other 7 13%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 May 2016.
All research outputs
#17,450,897
of 25,604,262 outputs
Outputs from Clinical Pharmacology : Advances and Applications
#117
of 179 outputs
Outputs of similar age
#191,873
of 312,358 outputs
Outputs of similar age from Clinical Pharmacology : Advances and Applications
#5
of 5 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 179 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 24th percentile – i.e., 24% 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 312,358 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.