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Record W2047925472 · doi:10.1517/13543780903282759

Darinaparsin: a novel organic arsenical with promising anticancer activity

2009· review· en· W2047925472 on OpenAlex
Koren K. Mann, Barbara Wallner, Izidore S. Lossos, Wilson H. Miller

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueExpert Opinion on Investigational Drugs · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsMcGill UniversityJewish General Hospital
FundersNational Cancer InstituteCanadian Institutes of Health Research
KeywordsArsenic trioxideAcute promyelocytic leukemiaIn vivoCancer researchArsenicPharmacologyBroad spectrumLeukemiaIn vitroChemistryMedicineBiologyBiochemistryImmunologyRetinoic acidCombinatorial chemistry

Abstract

fetched live from OpenAlex

Darinaparsin is an organic arsenical composed of dimethylated arsenic linked to glutathione, and is being investigated for antitumor properties in vitro and in vivo. While other arsenicals, including arsenic trioxide, have been used clinically, none have shown significant activity in malignancies outside of acute promyelocytic leukemia. Darinaparsin has significant activity in a broad spectrum of hematologic and solid tumors in preclinical models. Here, we review the literature describing the signaling pathways and mechanisms of action of darinaparsin and compare them to mechanisms of cell death induced by arsenic trioxide. Darinaparsin has overlapping, but distinct, signaling mechanisms. We also review the current results of clinical trials with darinaparsin (both intravenous and oral formulations) that demonstrate significant antitumor activity.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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 head0.045
GPT teacher head0.339
Teacher spread0.294 · 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