Molecular Subtypes of Vulvar Squamous Cell Carcinoma: The Significance of HPV-Independent/p53 Wild Type
Bibliographic record
Abstract
Vulvar carcinoma is a rare disease, meeting the criteria for a “rare cancer”, but its incidence is increasing, especially in women <60 years of age. Squamous cell carcinoma (VSCC) accounts for the overwhelming majority of vulvar carcinomas and is the focus of this review. As with many cancers, the increased understanding of molecular events during tumorigenesis has led to the emergence of the molecular subclassification of VSCC, which is subclassified into tumors that arise secondary to high-risk human papillomavirus infection (HPV-associated, or HPVa) and those that arise independently of HPV (HPVi), most commonly in the setting of a chronic inflammatory condition of the vulvar skin. This latter group of HPVi VSCC arises in most cases secondary to mutations in TP53, but recently, attention has focused on the uncommon TP53 wild-type HPVi VSCC. These three molecular subtypes of VSCC (HPVa, HPVi p53 abnormal, and HPVi p53 wild type), as well as their precursor lesions, cannot be diagnosed based on a routine histopathological examination or immunostaining for p53 and p16 as surrogate markers for TP53 mutation and high-risk HPV infection, respectively, are required. The molecular subtyping of VSCC shows high reproducibility and provides important prognostic information. HPVa VSCC has the most favorable prognosis, while HPVi VSCC with TP53 mutations (p53abn) has the worst prognosis, and HPVi VSCC with wild-type TP53 (p53wt) has an intermediate prognosis. In this review, we discuss the evidence supporting this molecular subclassification and its implications for the diagnosis and treatment of VSCC and its precursors.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".