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Identification of AML and MDS Patients Who Could Potentially Benefit From Temozolomide Therapy: Proportion of Patients with Low Methyl Guanine Methyltransferase (MGMT) Expression Level

2010· article· en· W2553187720 on OpenAlexaff
Joseph Brandwein, Jeannine Kassis, Brian Leber, Kang Howson‐Jan, Mark D. Minden, Kim Greaves, Jean‐François Pouliot

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsMerck Canada Inc. (Canada)McMaster University Medical CentreLondon Health Sciences CentreCollège de MaisonneuvePrincess Margaret Cancer Centre
Fundersnot available
KeywordsTemozolomideMethyltransferaseO-6-methylguanine-DNA methyltransferaseMyeloid leukemiaMethylationMedicineCancer researchOncologyLeukemiaDecitabineDNA methylationCytarabineDNA methyltransferaseBone marrowChemotherapyInternal medicineBiologyGene expressionDNAGenetics

Abstract

fetched live from OpenAlex

Abstract Abstract 3985 Introduction: Temozolomide is an imidazotetrazine derivative of dacarbazine that functions as an alkylating agent. Temozolomide anti-tumor activity is attributed to methylation of DNA, leading to the formation of O6-methylguanine that eventually leads to apoptosis. Resistance to temozolomide may largely be conferred by O6-methylguanine DNA methyltransferase (MGMT) over-expression. The level of MGMT expression will determine the ability of a cell to withstand damage from an alkylating chemotherapeutic agent. Brandwein et al. (Leukemia 2007;21:821-4) previously showed that the complete response rate to temozolomide therapy in patients with acute myeloid leukemia (AML) was higher when MGMT expression was low. Methods: In this prospective multicenter study we evaluated MGMT expression by Western blot in bone marrow or peripheral blood from older patients with previously untreated AML and high risk myelodysplastic syndrome (MDS). Expression was characterized by comparison with b-actin and results were expressed as an MGMT:b-actin ratio: Negative: < 0.2; Weak: 0.2 – 0.25; and Strong:> 0.25 MGMT promoter methylation was also evaluated using methylation-specific PCR. Both protein expression and promoter methylation were tested in a central lab. Results: Data were obtained for 152 patients; median age was 76 years old (range 46–94 years). A majority (63%) were male. Primary diagnosis was AML (84%) and MDS (16%). MGMT expression level could be determined in 128 of the 152 patients tested (84%). Expression ratios were: Negative (41%), Weak (11%), and Strong (48%). MGMT promoter methylation could be detected in 16% of cases in patients with either Negative or Weak expression ratio and in 2% of patients with Strong expression ratio. A majority of patients with promoter methylation (82%) had low MGMT expression. Discussion: One-half of patients with AML/MDS had either a Negative or Weak MGMT expression level, and would therefore be potential candidates for temozolomide therapy. These low levels could be explained by promoter methylation in a minority of cases. Thus, low level of MGMT expression in AML/MDS may be due to direct alteration of the MGMT gene or modulation of expression at the post-transcriptional level. Disclosures: Brandwein: Merck: Honoraria, Research Funding. Off Label Use: temozolomide for acute myeloid leukemia. Kassis:Merck: Research Funding. Leber:Merck: Research Funding. Howson-Jan:Merck: Research Funding. Minden:Merck: Research Funding. Greaves:Schering-Plough/Merck: Employment. Pouliot:Schering-Plough/Merck: Employment.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.254
Teacher spread0.243 · 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 designObservational
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

Citations2
Published2010
Admission routes1
Has abstractyes

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