MétaCan
Menu
Back to cohort

Dermytol, A Novel Compound For The Prevention Of Melanoma Skin Cancer Tested For Efficacy In Mice

2008· article· en· W3173834978 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

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBeetle Biology and Toxicology Studies
Canadian institutionsKGK Synergize (Canada)
Fundersnot available
KeywordsMedicineMelanomaCanolaSalinePlaceboOlive oilCancerPharmacologyInternal medicinePathologyCancer researchChemistry

Abstract

fetched live from OpenAlex

A novel proprietary compound, trade named Dermytol™ has been shown to reduce melanoma tumor cell growth in male mice. Six Male C57BL mice (3–4 weeks old) were treated by oral gavage with 6.0% Dermytol™ w/v 0.2ml Canola oil. Mice in a control group were administered Canola oil. In a second treatment group of 6 male C57BL mice, a topical application of 6.0% Dermytol™ w/v in a cream base was applied to a shaved 1cm 2 area of the right hind flank. Control group mice for this treatment received an application of a placebo cream base. Both treatments were applied for 7 consecutive days followed by subcutaneous injection in the right hind flank of B16‐F1 malignant melanoma tumor cells (2.0x10 5 ) in 100μl saline. Oral and topical Dermytol™ treatments were continued for 25 days after tumor cell injection. Results showed that orally treated mice showed an average decrease in tumor volume of 44.5%. Tumor volume was decreased by 61.2% in topically treated mice. This pronounced decrease in tumor volume for both applications indicates that Dermytol™ is effective at inhibiting the proliferation of B16‐F1 melanoma tumor cells and that a topical application of the compound produces a more potent effect. Source: KGK Synergize, Inc.

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 categoriesnone
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 score0.155
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.306
Teacher spread0.264 · 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