Molecular classification of vulval cancer: Comparing pre-surgical biopsy and surgical specimen of radical vulvectomy from the same patients
Bibliographic record
Abstract
Background Classification of vulvar carcinoma (VCX) into one of the three molecular subtypes has significant prognostic and therapeutic impact. An HPV-associated lesion that is p16 positive and p53 wild type represents improved prognosis compared to other subtypes. HPV-independent VCX, mostly associated with lichen sclerosus is characterized by TP53-alteration (i.e. aberrant p53-expression) and p16 non-aberrant staining. A third (minor) subtype is characterized by normal staining for both markers. It has been shown that patients with p53-aberrant tumors may benefit from more radical surgical approach. Contrary, HPV-high risk associated VCA (with p16-block positivity) represent better response to chemoradiation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".