MétaCan
Menu
Back to cohort
Record W2396829420 · doi:10.1158/1557-3125.advbc15-a15

Abstract A15: Using genetic and pharmacological methods to explore role of the methyltransferase Ezh2 in mouse mammary tumorigenesis

2016· article· en· W2396829420 on OpenAlexaff
Alison Hirukawa, Harvey W. Smith, William A. Müller

Bibliographic record

VenueMolecular Cancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsMcGill University
Fundersnot available
KeywordsEZH2CarcinogenesisBiologyCancer researchEpigeneticsHistone H3PRC2Histone methyltransferaseReceptor tyrosine kinaseGene silencingGenetically modified mouseCancerMalignant transformationHistoneTransgeneKinaseCell biologyGeneGenetics

Abstract

fetched live from OpenAlex

Abstract ErbB2 (HER2/Neu) is a receptor tyrosine kinase over expressed in 20-30% of primary human breast cancer cancer, and correlated with poor clinical outcome. However, the mechanisms through which ErbB2 contributes to tumorigenesis and poor patients prognosis is unclear. Over the last decade, several lines of evidence have demonstrated that the transformation of a normal epithelial cells to a malignant phenotype requires the accumulation of multiple genetics and epigenetic events, including post translational modifications of histones. Enhancer of Zeste 2 (Ezh2) is a polycomb group protein that, as a part of the PRC2 complex mediates gene silencing through tri-methylation of lysine 27 on histone 3 (H3K27me3). Interestingly, several clinical studies have reported EZH2 transcript and protein levels to be elevated in aggressive human breast carcinomas. To investigate the requirement of Ezh2 in mouse mammary epithelial tumour initiation, we have crossed an Ezh2 conditional knock out mouse strain to a tetracycline inducible mammary epithelium specific Polyoma virus Middle T (PyVmT) transgenic mouse strain. The PyVmT model provides insight into how active receptor tyrosine kinase signalling can direct cellular transformation and its benefits include rapid tumour onset and well characterized disease progression, while the tetracycline-inducible systems allows for bypassing any developmental defects in the mammary gland due to Ezh2 ablation. Tumour onset in Ezh2 deficient mice are delayed(t50=135 days, n=15) compared to the wild type cohort (t50=63, n=28), and less multifocal in comparison to the wild type cohorts. End point tumours in Ezh2 deficient mice upregulate transcriptional signatures related to fibrosis and matrix remodelling, lipid biogenesis and cell cycle regulation. To compliment our genetic studies, we have also acquired a potent Ezh2 inhibitor, GSK126, to target the methyl transferase activity of Ezh2 in vivo and in vitro. Preliminary results indicate that the effect of global H3K27me3 loss is more pronounced during tumour initiation than tumour maintenance, and that in vivo effects of GSK-126 administration are likely mediated by the immune system. Genetic studies will allow for us to dissect how Ezh2 (through H3K27me3) controls transcriptional programs during tumour initiation and maintenance. In combination with the development of a highly selective and potent Ezh2 inhibitor, GSK126, combined pharmaceutical studies and the use of genetic models will provide insight into potential therapeutic windows during disease progression. Citation Format: Alison Hirukawa, Harvey Smith, William Muller. Using genetic and pharmacological methods to explore role of the methyltransferase Ezh2 in mouse mammary tumorigenesis. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research; Oct 17-20, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(2_Suppl):Abstract nr A15.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.048
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.099
GPT teacher head0.442
Teacher spread0.343 · 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueMolecular Cancer ResearchSame topicEpigenetics and DNA MethylationFrench-language works237,207