Immunosuppressive cytokines in the regional lymph node of a dog suffering from oral malignant melanoma
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".