Evidence map›Paper›PMID 26592932›Full record

ArticleChemMedChem2016

Identification of HDAC6-Selective Inhibitors of Low Cancer Cell Cytotoxicity.

Irina N Gaisina, Werner Tueckmantel, Andrey Ugolkov, Sida Shen, Jessica Hoffen, Oleksii Dubrovskyi, Andrew Mazar, Renee A Schoon, Daniel Billadeau, Alan P Kozikowski

Open access · greenAbstract read
In one paragraph

Article in ChemMedChem, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 39 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Irina N GaisinaDrug Discovery Program, Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Werner TueckmantelPsychogenics Inc., Tarrytown, NY, 10591, USA.
Andrey UgolkovCenter for Developmental Therapeutics, Feinberg School of Medicine, Northwestern University, Evanston, IL, 60208, USA.
Sida ShenDrug Discovery Program, Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Jessica HoffenCenter for Developmental Therapeutics, Feinberg School of Medicine, Northwestern University, Evanston, IL, 60208, USA.
Oleksii DubrovskyiCenter for Developmental Therapeutics, Feinberg School of Medicine, Northwestern University, Evanston, IL, 60208, USA.
Andrew MazarCenter for Developmental Therapeutics, Feinberg School of Medicine, Northwestern University, Evanston, IL, 60208, USA.
Renee A SchoonDepartment of Immunology and Division of Oncology Research, College of Medicine, Mayo Clinic, 13-42 Guggenheim, Rochester, MN, 55905, USA.
Daniel BilladeauDepartment of Immunology and Division of Oncology Research, College of Medicine, Mayo Clinic, 13-42 Guggenheim, Rochester, MN, 55905, USA.
Alan P KozikowskiDrug Discovery Program, Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, University of Illinois at Chicago, Chicago, IL, 60612, USA. kozikowa@uic.edu.
Northwestern University · USUniversity of Illinois Chicago · USMayo Clinic in Arizona · USMayo Clinic in Florida · USPsychogenics (United States) · US

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
Optimization of HDAC6 Inhibitors in the Treatment of CMTR01NS079183 · NINDS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KOZIKOWSKI, ALAN P., VAN DEN BOSCH, LUDO · 2013 to 2017
$1.9M
HDAC6-Selective Inhibitors for Pancreatic Cancer TreatmentR43CA133985 · NCI · PSYCHOGENICS, INC. · PI TUECKMANTEL, WERNER · 2008 to 2010
$367k
NCI NIH HHS 2 P30 (CA060553-19NCI NIH HHS P30 CA060553NCI NIH HHS R43 CA 133985NCI NIH HHS R43 CA133985NINDS NIH HHS R01 NS079183
6 · The paper itself

Abstract

The histone deacetylases (HDACs) occur in 11 different isoforms, and these enzymes regulate the activity of a large number of proteins involved in cancer initiation and progression. The discovery of isoform-selective HDAC inhibitors (HDACIs) is desirable, as it is likely that such compounds would avoid some of the undesirable side effects found with the first-generation inhibitors. A series of HDACIs previously reported by us were found to display some selectivity for HDAC6 and to induce cell-cycle arrest and apoptosis in pancreatic cancer cells. In the present work, we show that structural modification of these isoxazole-based inhibitors leads to high potency and selectivity for HDAC6 over HDAC1-3 and HDAC10, while unexpectedly abolishing their ability to block cell growth. Three inhibitors with lower HDAC6 selectivity inhibit the growth of cell lines BxPC3 and L3.6pl, and they only induce apoptosis in L3.6pl cells. We conclude that HDAC6 inhibition alone is insufficient for disruption of cell growth, and that some degree of class 1 HDAC inhibition is required. Moreover, the highly selective HDAC6Is reported herein that are weakly cytotoxic may find use in cancer immune system reactivation.

Indexed as

Antineoplastic AgentsApoptosisCell Line, TumorCell ProliferationDose-Response Relationship, DrugDrug Screening Assays, AntitumorHistone Deacetylase 6Histone Deacetylase InhibitorsHistone DeacetylasesHumansMolecular StructurePancreatic NeoplasmsStructure-Activity RelationshipAntineoplastic AgentsHDAC6 protein, humanHistone Deacetylase 6Histone Deacetylase InhibitorsHistone DeacetylasesHDAC6 selectivityhistone deacetylaseshydroxamic acidsimmune activationinhibitorspancreatic cancer

Identifiers

PMID26592932
PMCPMC4818591
OpenAlexW2176988486

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.