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Record W2058689898 · doi:10.3109/10428190109097663

Lovastatin Induced Control of Blast Cell Growth in an Elderly Patient with Acute Myeloblastic Leukemia

2001· article· en· W2058689898 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsUniversity Health NetworkOntario Institute for Cancer Research
Fundersnot available
KeywordsLovastatinMedicineAcute myeloblastic leukemiaChemotherapyIn vitroPharmacologyCell cultureLeukemiaCancer researchInternal medicineImmunologyOncologyCholesterolBiologyBiochemistry

Abstract

fetched live from OpenAlex

We recently reported that AML cells derived either from cell lines or from patients undergo apoptosis in response to lovastatin, an agent used extensively in the treatment of hypercholesterolemia. The concentration of lovastatin required to achieve this in culture varies from patient to patient, however, the in vitro concentrations required to kill AML cells, can be attained clinically. While in vitro studies assessing responsiveness of leukemic cells to lovastatin were being performed, a 72 year old female presented with relapsed AML. The patient did not desire any further induction therapy. As the patient's cells proved to be sensitive in culture to lovastatin, the patient was offered this drug. In this brief report we describe a case in which there was apparent control of the patient's leukemic blast cells by lovastatin at a dose double the usual recommended dose for hypercholesterolemia. This case illustrates the potential for lovastatin to provide a novel means of controlling leukemic cell growth in AML patients.

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.

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 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 score0.334
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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