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Record W2047925472 · doi:10.1517/13543780903282759

Darinaparsin: a novel organic arsenical with promising anticancer activity

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

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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

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 designNot applicable
Domainnot available
GenreReview

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

Citations76
Published2009
Admission routes2
Has abstractyes

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