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Record W2100335940 · doi:10.18632/oncotarget.1659

Inhibition of BRD4 attenuates tumor cell self-renewal and suppresses stem cell signaling in MYC driven medulloblastoma

2014· article· en· W2100335940 on OpenAlexaffabout
Sujatha Venkataraman, Irina Alimova, Ilango Balakrishnan, Peter S. Harris, Diane K. Birks, Andrea M. Griesinger, Vladimir Amani, Brian Cristiano, Marc Remke, Michael D. Taylor, Michael H. Handler, Nicholas K. Foreman, Rajeev Vibhakar

Bibliographic record

VenueOncotarget · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsHospital for Sick Children
FundersNational Center for Research ResourcesNational Institute of Neurological Disorders and StrokeNational Institutes of HealthNational Cancer InstituteNational Center for Advancing Translational SciencesAnschutz Medical Campus, University of ColoradoCancer Center, University of ColoradoMorgan Adams Foundation
KeywordsMedulloblastomaCancer researchCell cycleBromodomainCell cycle checkpointCell growthStem cellOncogeneMedicineMdm2CellBiologyCell cultureCell biologyEpigeneticsGenetics

Abstract

fetched live from OpenAlex

$('.header-date').hide();$('#titleAuthors').hide(); $('#abstractHeader').hide(); Sujatha Venkataraman 1 * , Irina Alimova 1 * , Ilango Balakrishnan 1 , Peter Harris 1 , Diane K Birks 2 , Andrea Griesinger 1 , Vladimir Amani 1 , Brian Cristiano 1 , Marc Remke 3 , Michael D Taylor 3 , Michael Handler 2 , Nicholas K Foreman 1 and Rajeev Vibhakar 1 1 Department of Pediatrics, Children’s Hospital Colorado and University of Colorado, Denver, CO, USA 2 Department of Neurosurgery, Children’s Hospital Colorado and University of Colorado, Denver, CO, USA 3 Division of Neurosurgery, Program in Developmental and Stem Cell Biology, Hospital for Sick Children, Toronto, ON, Canada * These two authors contributed equally to this work. Correspondence: Rajeev Vibhakar, e-mail: Rajeev.Vibhakar@ucdenver.edu Keywords: Medulloblastoma, MYC, BRD4, JQ1, Senescence Received : December 05, 2013       Accepted : March 19, 2014       Published : March 31, 2014 ABSTRACT Medulloblastoma is a pediatric brain tumor with a variable prognosis due to clinical and genomic heterogeneity. Among the 4 major genomic sub-groups, patients with MYC amplified tumors have a particularly poor prognosis despite therapy with surgery, radiation and chemotherapy. Targeting the MYC oncogene has traditionally been problematic. Here we report that MYC driven medulloblastoma can be targeted by inhibition of the bromodomain protein BRD4. We show that bromodomain inhibition with JQ1 restricts c-MYC driven transcriptional programs in medulloblastoma, suppresses medulloblastoma cell growth and induces a cell cycle arrest. Importantly JQ1 suppresses stem cell associated signaling in medulloblastoma cells and inhibits medulloblastoma tumor cell self-renewal. Additionally JQ1 also promotes senescence in medulloblastoma cells by activating cell cycle kinase inhibitors and inhibiting activity of E2F1. Furthermore BRD4 inhibition displayed an anti-proliferative, pro-senescence effect in a medulloblastoma model in vivo. In clinical samples we found that transcriptional programs suppressed by JQ1 are associated with adverse risk in medulloblastoma patients. Our work indicates that BRD4 inhibition attenuates stem cell signaling in MYC driven medulloblastoma and demonstrates the feasibility BET domain inhibition as a therapeutic approach in vivo .

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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.194
Teacher spread0.190 · 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

Citations115
Published2014
Admission routes2
Has abstractyes

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