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Abstract LB-209: Expression of O6-methylguanine DNA-methyltransferase is regulated by Wnt/β-catenin signalling in cancer cells: A new strategy for DNA alkylators in cancer therapy

2011· article· en· W1992792480 on OpenAlexaff
Jelena Milosevic, Ninib Baryawno, Cecilia Dyberg, Malin Wickström, Baldur Sveinbjørnsson, Paul A. Northcott, Michael D. Taylor, Marcel Kool, Per Kogner, John Inge Johnsen

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsTemozolomideCancer researchWnt signaling pathwayDNA methyltransferaseMethyltransferaseBiologyDNA repairO-6-methylguanine-DNA methyltransferaseCancerClonogenic assayMolecular biologyCell cultureDNAGliomaSignal transductionCell biologyMethylationBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract Background: O6-Methylguanine (O6-MG)-DNA-methyltransferase (MGMT) encodes the DNA-repair protein O6-alkylguanine (O6-AG) DNA alkyltransferase (AGT) that repair DNA adducts caused by alkylating agents. MGMT has important implications in cancer treatment since its expression induces resistance to methylating and chloroethylating anticancer drugs which are effective treatment options in tumours lacking MGMT expression. The demand to find agents that induce MGMT deficiency and increase the susceptibility to alkylating chemotherapeutic agents is therefore highly warranted. Methods: The correlation between Wnt activity and MGMT expression was investigated in primary medulloblastomas, gliomas and colon cancer using gene expression cohorts. Cell lines from medulloblastomas, gliomas, colon cancer and neuroblastomas were examined for Wnt/β-catenin activity and MGMT expression using immunoblotting and Real-Time quantitative PCR (Q-PCR). Small interfering RNA (siRNA) against β-catenin, forced overexpression of β-catenin, and MGMT promotor reporter plasmids were used to study β-catenin mediated regulation on MGMT. Cell cytotoxicity and clonogenicity of chemotherapeutic drugs in combination with celecoxib were examined in cell lines using fluorometric microculture cytotoxicity assay and clonogenic assay, respectively. In vivo, nude NMRI mice carrying D283 MED xenografts were treated with celecoxib in combination with temozolomide. Results: Wnt signaling activity was shown to be correlated to increased MGMT expression levels both in primary tumors and cell lines of different origins. Transfection experiments revealed that β-catenin regulates MGMT expression. Proinflammatory prostaglandin E2 activates the Wnt/β-catenin cascade and increase MGMT expression. The clinically available COX-2 inhibitor celecoxib augmented the cytotoxic effect of the DNA alkylating drug, temozolomide in cells with elevated MGMT expression both in vitro and in established medulloblastoma xenografts in nude mice through inhibition of Wnt/β-catenin activity and subsequent reduction in MGMT expression. Conclusions: This study demonstrates that celecoxib reduces the transcription of the MGMT gene through a prostaglandin E2-Wnt/β-catenin route and thus increases the susceptibility to temozolomide. These finding are the first reported that Wnt/β-catenin pathway regulates the expression of MGMT and thus provides a rational approach for improved efficacy of chemotherapeutic drugs inducing DNA alkylation in cancer treatment. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr LB-209. doi:10.1158/1538-7445.AM2011-LB-209

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 score0.002
Threshold uncertainty score0.007

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)0.0020.001

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 head0.131
GPT teacher head0.401
Teacher spread0.270 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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