Human papillomavirus (<scp>HPV</scp>)‐independent vulvar squamous cell carcinoma has a worse prognosis than <scp>HPV</scp>‐associated disease: a retrospective cohort study
Bibliographic record
Abstract
AIMS: Vulvar squamous cell carcinoma (VSCC) can be subdivided by human papillomavirus (HPV) status into two clinicopathological entities. Studies on the prognostic significance of HPV in VSCC are discordant. METHODS AND RESULTS: We performed a retrospective analysis of overall survival (OS), disease-specific survival (DSS) and progression-free survival (PFS) in 217 patients with VSCC. Cases were extracted from an era of more aggressive en-bloc radical dissections (1985-95) and more localized radical surgery through separate vulvar and groin excisions (1996-2005). p16 immunohistochemistry was used as a surrogate for HPV status. HPV status could be determined in 197 tumours, 118 HPV-independent and 79 HPV-associated tumours. Patients with HPV-associated tumours were younger (mean 58.8 versus 71.6 years for HPV-independent tumours, P < 0.0001) and more likely to have prior abnormal cervical cytology (41.1 versus 5.6% for HPV-independent tumours, P < 0.0001). In univariable analysis, patients with HPV-associated tumours had superior PFS [hazard ratio (HR): 0.37, 95% confidence interval (CI): 0.18-0.70], DSS (HR: 0.19, 95% CI: 0.08-0.41) and OS (HR: 0.35, 95% CI: 0.21-0.59). This was driven by worse outcomes (PFS, DSS and OS) for patients with HPV-independent tumours compared with HPV-associated tumours who underwent surgery after 1995. After adjusting for age and stage in multivariable analysis, patients with HPV-associated tumours showed superior PFS (HR: 0.25, 95% CI: 0.07-0.77) and DSS (HR: 0.21, 95% CI: 0.04-0.78). CONCLUSIONS: VSCC can be stratified into two prognostically different diseases based on p16 immunostaining. HPV status was associated only with prognosis in the cohort that underwent surgery after 1995, suggesting that more conservative surgery may have led to worse outcomes for patients with HPV-independent tumours.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".