P16 Protein Expression in Primary Cutaneous Melanoma with Positive and Negative Lymph Node Biopsies: Particular Aspects of a Study Performed At the Hospital De Clinicas De Porto Alegre, Brazil
Bibliographic record
Abstract
BACKGROUND: Cutaneous melanoma dermal invasion, identified through measurement of maximum tumour thickness and sentinel lymph node (SLN) biopsy, is important to establish melanoma prognosis and progression. P16 protein expression has been shown to be a predictive factor for melanoma evolution and prognosis. OBJECTIVE: To investigate p16 protein expression in cutaneous melanomas with and without SLN metastasis. PATIENTS AND METHODS: Sixty-seven paraffin-embedded cutaneous melanoma specimens of patients who had undergone SLN investigation were evaluated from 1995 to 2007. SLN biopsy was negative for metastasis in 34 of these patients (controls); in the remaining 33 patients, SLN biopsy was positive (cases). The expression of p16 protein in the primary tumour was measured using an immunohistochemical assay. The samples were classified according to their nuclear expression. RESULTS: P16 nuclear expression was absent in 14 cases and in 15 controls; P=0.812. There was no statistically significant difference in p16 nuclear expression between cases and controls. CONCLUSIONS: The present study does not support the findings of other studies that suggest p16 protein expression is important in the prognosis of cutaneous melanoma.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".