p16 Immunostaining Allows for Accurate Subclassification of Vulvar Squamous Cell Carcinoma Into HPV-Associated and HPV-Independent Cases
Bibliographic record
Abstract
The aim of this study was to compare morphologic assessment and p16 immunohistochemistry (IHC) in the determination of human papilloma virus (HPV) status in vulvar squamous cell carcinoma (VSCC). A total of 201 invasive VSCC cases were classified as "HPV-associated" when warty/basaloid VSCC or high-grade squamous intraepithelial lesion (vulvar intraepithelial neoplasia 2/3) was observed, or "HPV-independent" in the presence of well-differentiated keratinizing invasive SCC or differentiated vulvar intraepithelial neoplasia. For p16 IHC, strong nuclear and cytoplasmic staining of all cells in at least the lowermost third of the epithelium was scored as positive. All cases with discrepant HPV predictions by hematoxylin and eosin morphology versus p16 IHC were further analyzed by polymerase chain reaction for HPV DNA. On the basis of hematoxylin and eosin morphologic assessment, 50/201 tumors showed features suggestive of HPV-associated, and 47 of those showed p16 immunoreactivity (94% concordance). Of the 146 cases considered HPV-independent based on hematoxylin and eosin, 115 (79%) showed negative p16 immunostaining. Thus 83% (162/196) concordance between morphologic assessment and p16 IHC was observed, overall. In 34 cases, where morphologic assessment and p16 IHC did not agree, HPV polymerase chain reaction agreed with p16 IHC in 32/34 (94%). The sensitivity and specificity of p16 IHC in classification of VSCC as HPV-independent or HPV-associated was 100% and 98.4%, respectively. Morphologic assessment and p16 IHC are concordant in classifying VSCC as HPV-independent or HPV-associated in a majority of cases (83%). Most of the discrepant cases are p16-positive well-differentiated keratinizing VSCC, and HPV polymerase chain reaction supports classification of a large majority of these (94%) as HPV-associated. p16 IHC is validated as an accurate surrogate marker for determination of HPV status in VSCC.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".