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Record W2088824526 · doi:10.1080/10428190802353617

Catalase activity and arsenic sensitivity in acute leukemia

2008· article· en· W2088824526 on OpenAlexaff
Emma Coe, Aaron D. Schimmer

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsCatalaseAcute promyelocytic leukemiaArsenic trioxideMyeloid leukemiaReactive oxygen speciesLeukemiaChemistryGlutathione peroxidaseCancer researchGlutathioneApoptosisImmunologyBiochemistryBiologyEnzyme

Abstract

fetched live from OpenAlex

Arsenic trioxide (As2O3) is currently employed as a treatment for relapsed acute promyelocytic leukemia (APL), where it can induce remission in greater than 90% of patients, but is ineffective in patients with non-APL acute myeloid leukemia (AML). As2O3 induces apoptosis in APL cells through mechanisms dependent and independent of the PML-RARalpha fusion protein. Through PML-RARalpha fusion-independent mechanisms, As2O3 increases H2O2 production via its effects on glutathione and glutathione peroxidase. Catalase is an alternative mechanism to convert H2O2 to water. Therefore, we explored the relationship between catalase activity and As2O3 sensitivity. In AML and APL cell lines, but not primary patient samples, basal catalase levels matched sensitivity to As2O3. However, the chemical inhibition of catalase did not enhance As2O3-induced cell death. Failure of catalase inhibition to sensitise cells to As2O3 was due to a failure of catalase inhibition to increased levels of reactive oxygen species. Therefore, other strategies should be explored to enhance the cytotoxicity of As2O3 in AML.

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 categoriesMeta-epidemiology (narrow)
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 score0.265
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.007
GPT teacher head0.219
Teacher spread0.211 · 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.

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

Citations22
Published2008
Admission routes1
Has abstractyes

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