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Abstract AP32: THE METHYLTRANSFERASE EZH2 IS A VULNERABLE TARGET IN SMALL CELL CARCINOMA OF THE OVARY, HYPERCALCEMIC TYPE (SCCOHT)

2017· article· en· W2623577366 on OpenAlexaff
Yemin Wang, Shary Chen, Anthony N. Karnezis, Nancy Dos Santos, Pilar Ramos, Sarah Maines‐Bandiera, Christine Chow, Bernard E. Weissman, Jeffrey M. Trent, David G. Huntsman

Bibliographic record

VenueClinical Cancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsBiologySMARCA4EZH2Cancer researchChromatinChromatin remodelingHistone methyltransferaseCell cycle checkpointCell biologyCell cycleGeneticsCellGene

Abstract

fetched live from OpenAlex

Abstract PURPOSE: SCCOHT is a rare, poorly differentiated and very deadly ovarian tumor that mainly affects young women with the median age in twenties. Recently, we and others have discovered that the genome of SCCOHT was minimally disturbed compared to common malignancies with the inactivation mutations of SMARCA4 being the only recurrent genetic alternation in SCCOHT genome. SMARCA4 is the ATPase of the SWI/SNF chromatin-remodeling complex, which is the master regulator of gene transcription through controlling the accessibility of chromatin and therefore plays critical roles in many biological processes such as cell cycle control, apoptosis, and differentiation. Recently, a genetic antagonism has been observed between some SWI/SNF complex components and the histone methyltransferase EZH2 of the polycomb repressive complex 2 (PRC2), suggesting that EZH2 may be a vulnerable target in certain SWI/SNF-deficient tumor. Therefore, we aimed to determine the promise of defeating SCCOHT through targeting EZH2 in the present study. METHODS: The EZH2 protein expression was determined by immunohistochemistry on the SCCOHT tissue microarray. Cell viability, cell cycle and apoptosis were measured by crystal violet staining, FACS analysis and live cell imaging with activated caspase-3/7 staining, respectively. The proteomic profiles of SCCOHT cells were determined by Mass Spectrometry using the TMT-labeled peptide fractions. Two SCCOHT xenograft mouse models were established from BIN67 and SCCOHT1 cells, respectively, in immune-deficient mice were used for the evaluation of EPZ-6438 efficacy in vivo. RESULT: All (24/24) SCCOHT expressed abundant EZH2 protein. In comparison to other ovarian cell lines, SCCOHT cells displayed hypersensitivity to two EZH2 inhibitors (GSK126 and EPZ-6438) and EZH2 shRNA. Furthermore, EPZ-6438 induced cell cycle arrest, apoptosis and cell differentiation in SCCOHT cells, accompanying by the induction of genes involved in cell proliferation, apoptosis and differentiation. Treatment of EPZ-6438 in SCCOHT xenograft-bearing mice delayed tumor progression, improved the survival of mice. Further, re-expression of SMARCA4 suppressed the expression of EZH2 and the global level of histone H3K27 trimethylation, induced the expression of PRC2 targets that are induced by EZH2 inhibitors and triggered differentiation of SCCOHT cells. In addition, we also discovered that SCCOHT cells are hypersensitive to multiple inhibitors of histone deacetylase (HDAC), which is known to cooperate with EZH2 to silence certain target genes. Combined treatment of EPZ-6438 and Quisinostat (an HDAC inhibitor) synergistically suppressed the proliferation of SCCOHT cells. CONCLUSION: Our data suggest that EZH2 is a promising therapeutic target for fighting SCCOHT. Combined pharmacological targeting of both EZH2 and HDAC may provide a novel treatment option for SCCOHT patients. Citation Format: Yemin Wang, Shary Chen, Anthony Karnezis, Nancy Dos Santos, Pilar Ramos, Sarah Maines-Bandiera, Christine Chow, Bernard Weissman, Jeffrey Trent, David Huntsman. THE METHYLTRANSFERASE EZH2 IS A VULNERABLE TARGET IN SMALL CELL CARCINOMA OF THE OVARY, HYPERCALCEMIC TYPE (SCCOHT) [abstract]. In: Proceedings of the 11th Biennial Ovarian Cancer Research Symposium; Sep 12-13, 2016; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2017;23(11 Suppl):Abstract nr AP32.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.027
Threshold uncertainty score0.804

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.179
GPT teacher head0.461
Teacher spread0.282 · 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 teacher head, 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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