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Record W3165807566 · doi:10.18103/mra.v9i5.2438

Phloridzin docosahexaenoate, a novel polyphenolic derivative, is cytotoxic to canine osteosarcoma D17 cells

2021· article· en· W3165807566 on OpenAlex
Beth Murray, Niroshaa Arumuggam, Tess Astatkie, H.P. Vasantha Rupasinghe

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

VenueMedical Research Archives · 2021
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOsteosarcomaCytotoxic T cellIn vitroPharmacologyPolyphenolCell cultureDrugCytotoxicityMedicineCancer researchChemistryBiochemistryBiologyAntioxidant

Abstract

fetched live from OpenAlex

Canine osteosarcoma (OSA) is the most common form of bone cancer diagnosticated in dogs and is highly metastatic. There has been limited advancement in discovering an effective treatment for OSA in the last few decades. The major drawback of the currently used chemotherapeutic drugs is their side effects. In this preliminary study, we investigated the efficacy of using a novel food-derived drug, phloridzin docosahexaenoate (PZ-DHA), in the treatment of canine OSA in vitro. PZ-DHA was selectively cytotoxic to canine OSA D17 cells, while normal human liver cells (WRL68) were more resistant. We also found that PZ-DHA had enhanced cellular uptake in D17 cells compared to its precursors and in WRL68 cell line. This study provides preliminary evidence that PZ-DHA needs to be further assessed as a safe and efficacious new drug in the treatment of both canine and human OSA.

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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.102
GPT teacher head0.433
Teacher spread0.332 · 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