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Record W2490843426 · doi:10.18632/oncotarget.10661

Small molecule epigenetic screen identifies novel EZH2 and HDAC inhibitors that target glioblastoma brain tumor-initiating cells

2016· article· en· W2490843426 on OpenAlexafffundabout
Natalie Grinshtein, Constanza Rioseco, Richard Marcellus, David Uehling, Ahmed Aman, Xueqing Lun, Osamu Muto, Lauren Podmore, Jake Lever, Yaoqing Shen, Michael Blough, G. Cairncross, Stephen M. Robbins, Steven J.M. Jones, Marco A. Marra, Rima Al‐awar, Donna L. Senger, David R. Kaplan

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversity of TorontoUniversity of CalgarySimon Fraser UniversityBC Cancer AgencyOntario Institute for Cancer ResearchCanada's Michael Smith Genome Sciences CentreUniversity of British ColumbiaHospital for Sick Children
FundersCanadian Institutes of Health ResearchBC Cancer FoundationStem Cell NetworkTerry Fox Research InstituteBC Cancer AgencyCanada Research ChairsGenome British Columbia
KeywordsEpigeneticsMedicineGlioblastomaLibrary scienceOncologyCancer researchBiologyGenetics

Abstract

fetched live from OpenAlex

// Natalie Grinshtein 1 , Constanza C. Rioseco 1 , Richard Marcellus 2 , David Uehling 2 , Ahmed Aman 2 , Xueqing Lun 3 , Osamu Muto 1 , Lauren Podmore 1 , Jake Lever 4 , Yaoqing Shen 4 , Michael D. Blough 3 , Greg J. Cairncross 3 , Stephen M. Robbins 3 , Steven J. Jones 4, 5, 6 , Marco A. Marra 4, 5 , Rima Al-Awar 2 , Donna L. Senger 3 , David R. Kaplan 1, 7 1 Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Canada 2 Drug Discovery Group, Ontario Institute for Cancer Research, Toronto, ON, Canada 3 Arnie Charbonneau Cancer Institute, Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada 4 Canada’s Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada 5 Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada 6 Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia 7 Department of Molecular Genetics, University of Toronto, Toronto, ON Canada Correspondence to: David R. Kaplan, email: dkaplan@sickkids.ca Keywords: glioblastoma, drug discovery, epigenetics, UNC1999, HDAC inhibitor Received: March 17, 2016 Accepted: July 07, 2016 Published: July 18, 2016 ABSTRACT Glioblastoma (GBM) is the most lethal and aggressive adult brain tumor, requiring the development of efficacious therapeutics. Towards this goal, we screened five genetically distinct patient-derived brain-tumor initiating cell lines (BTIC) with a unique collection of small molecule epigenetic modulators from the Structural Genomics Consortium (SGC). We identified multiple hits that inhibited the growth of BTICs in vitro , and further evaluated the therapeutic potential of EZH2 and HDAC inhibitors due to the high relevance of these targets for GBM. We found that the novel SAM-competitive EZH2 inhibitor UNC1999 exhibited low micromolar cytotoxicity in vitro on a diverse collection of BTIC lines, synergized with dexamethasone (DEX) and suppressed tumor growth in vivo in combination with DEX. In addition, a unique brain-penetrant class I HDAC inhibitor exhibited cytotoxicity in vitro on a panel of BTIC lines and extended survival in combination with TMZ in an orthotopic BTIC model in vivo . Finally, a combination of EZH2 and HDAC inhibitors demonstrated synergy in vitro by augmenting apoptosis and increasing DNA damage. Our findings identify key epigenetic modulators in GBM that regulate BTIC growth and survival and highlight promising combination therapies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.234
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations49
Published2016
Admission routes3
Has abstractyes

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