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Immunosuppressive cytokines in the regional lymph node of a dog suffering from oral malignant melanoma

2002· article· en· W1995178120 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

VenueJournal of Small Animal Practice · 2002
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsRoyal College of Physicians and Surgeons of Canada
Fundersnot available
KeywordsMedicineMelanomaLymph nodePathologyLymphReverse transcription polymerase chain reactionMetastasisCytokineCancerMessenger RNAImmunologyCancer researchInternal medicineGene

Abstract

fetched live from OpenAlex

A 10-year-old male cross-breed dog was referred for investigation of oral malignant melanoma. Fine-needle aspirates were taken from the draining submandibular lymph node. The presence of metastatic melanoma cells was confirmed by cytological examination and reverse transcription polymerase chain reaction (RT-PCR) using primers for the melanoma-associated antigens: tyrosinase and mart-1/melan A. Cytokine expression in the lymph node was evaluated by multiplex RT-PCR, which demonstrated the presence of mRNA for IL-10 and TGF-beta1. However, IL-2, IL-4 and IFNgamma mRNA could not be detected, suggesting a lack of immune activation. Thoracic radiographs showed a lesion within the caudal lung fields suggestive of pulmonary metastasis. The dog developed signs of dyspnoea and collapse and was euthanased four days later. This case illustrates that molecular techniques can be used to aid clinical staging of canine oral malignant melanoma, and suggests that immunosuppressive cytokines could be involved in the pathogenesis of disease.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
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 head0.100
GPT teacher head0.357
Teacher spread0.256 · 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