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Record W2592196376 · doi:10.1182/blood.v118.21.422.422

Pre-Screening for Low Methyl Guanine Methyltransferase (MGMT) Expression Results in High Response Rates to Temozolomide (TMZ) Therapy in AML and MDS Patients.

2011· article· en· W2592196376 on OpenAlexaff
Joseph Brandwein, Jeannine Kassis, Brian Leber, Kang Howson‐Jan, Mark D. Minden, André Galarneau, Jean‐François Pouliot

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsLondon Health Sciences CentreMcMaster University Medical CentreMerck Canada Inc. (Canada)Hôpital Maisonneuve-RosemontPrincess Margaret Cancer Centre
Fundersnot available
KeywordsTemozolomideMethyltransferaseMedicineO-6-methylguanine-DNA methyltransferaseOncologyInternal medicineInduction chemotherapyMyeloid leukemiaChemotherapyDecitabineDNA methylationMethylationBiologyGene expression

Abstract

fetched live from OpenAlex

Abstract Abstract 422 Introduction: Many patients with acute myeloid leukemia (AML) and high-risk myelodysplasia (MDS) are not suitable candidates for standard induction therapy, and newer treatment approaches are needed. TMZ anti-tumor activity is attributed to methylation of DNA, leading to the formation of O6-methylguanine that eventually leads to apoptosis. Expression of MethylGuanine DNA MethylTransferase (MGMT) restores normal guanine, decreasing DNA alkylation and thus anti-tumor activity of TMZ. Brandwein et al. (Leukemia 2007;21:821–4) previously demonstrated that response to TMZ in AML patients could be correlated with low MGMT expression. Thus MGMT expression prescreening could be used to identify patients more likely to respond to TMZ and provide an alternative for patients who are not candidates for standard induction therapy. Methods: We conducted a prospective multicenter study of patients with previously untreated AML and high risk MDS who were not candidates for standard induction therapy. Patient selection was based on MGMT expression as determined by Western blot in bone marrow or peripheral blood. Screening was performed by comparing the expression ratio between MGMT and b-actin protein levels. Patients with a ratio <0.25 were eligible to receive TMZ therapy 200 mg/m2/day × 7 days. Patients achieving a complete response (CR) could receive up to 12 monthly cycles of temozolomide 200 mg/m2/day × 5 days. Partial responders received a modified schedule of temozolomide 100 mg/m2/day × 21 days. Results: MGMT expression was tested in 188 patients; median age was 75 years old (range 46–94 years);62% were male. Primary diagnoses were AML (86%) and MDS (14%). Low or weak MGMT expression was detected in 46% of patient that were therefore potential candidates for TMZ therapy. Responses were evaluated in 42 patients, and were divided into 4 categories: Complete (CR/CRp), Morphologic Leukemia-Free State (MLFS), Partial (PR) Minimal (MR). Response was observed in 74% of cases including 29% CR, 10% MLFS, 19% PR and 17% MR. Prognostic factors associated with a higher response rate to temozolomide included MDS presentation, ECOG PS 0 and favorable/standard cytogenetic risk group. Induction and post-remission cycles were well-tolerated and most patients could be successfully treated on an outpatient basis. Patient who reached CR/CRp had a significantly longer median survival (>18 months) compared to those who reached MLFS, PR and MR (5.6 months). Median duration of therapy for patients reaching CR/CRp was 255 days and a majority (80%) became transfusion independent. Grade 3 and 4 toxicities were rare with the most common being fatigue (17%) and diarrhea (6%). Discussion: Pre-selection of patients based on MGMT expression level was associated with a higher response rate to TMZ as compared to previously reported unselected patients. Complete response was associated with increased survival and treatment had a favorable toxicity profile even in frail elderly patients. Targeted therapy with TMZ is feasible in patients with low MGMT expression and represents a new option for AML and MDS patients who are not candidate for standard induction therapy. Disclosures: Brandwein: Merck: Research Funding. Off Label Use: Temozolomide therapy for AML and MDS. Kassis:Merck: Research Funding. Leber:Merck: Research Funding. Howson-Jan:Merck: Research Funding. Minden:Merck: Research Funding. Galarneau:Merck: Employment. Pouliot: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)0.001
metaresearch head score (Gemma)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.038
GPT teacher head0.314
Teacher spread0.276 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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