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Record W2061295141 · doi:10.1139/o05-140

Epigenetic silencing of the <i>MGMT</i> gene in cancer

2005· review· en· W2061295141 on OpenAlexvenueno aff
Hidenobu Soejima, Zhao Wei, Tsunehiro Mukai

Bibliographic record

VenueBiochemistry and Cell Biology · 2005
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsnot available
Fundersnot available
KeywordsCancer epigeneticsBiologyDNA methylationEpigeneticsGene silencingCancer researchCarcinogenesisHistoneHistone methyltransferaseGeneticsCancerDNAGeneGene expression

Abstract

fetched live from OpenAlex

Silencing of the O6-methylguanine-DNA methyltransferase (MGMT) gene, a key to DNA repair, plays a critical role in the development of cancer. The gene product, functioning normally, removes a methyl group from mutagenic O6-methylguanine, which is produced by alkylating agents and can make a mismatched pair with thymine, leading to transition mutation through DNA replication. MGMT is epigenetically silenced in various human tumors. It is well known that DNA hypermethylation at the promoter CpG island plays a pivotal role in the epigenetic silencing of tumor suppressor genes. MGMT silencing, however, occurs without DNA hypermethylation in some cancer cells. Dimethylation of histone H3 lysine 9 and binding of methyl-CpG binding proteins are common and essential in MGMT-silenced cells. Silencing of MGMT has been shown to be a poor prognostic factor but a good predictive marker for chemotherapy when alkylating agents are used. In this review, we describe recent advances in understanding the silencing of MGMT and its role in carcinogenesis; epigenetic mechanisms; and clinical implications.

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)0.000
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.521
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

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 integrity0.0010.000
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 head0.022
GPT teacher head0.305
Teacher spread0.283 · 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
GenreReview

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

Citations88
Published2005
Admission routes1
Has abstractyes

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