Vulvar Squamous Cell Carcinoma With Sarcomatoid Features are HPV-independent Lesions: A Subset are Also Associated With TP53-independent Lesions and Radiation Therapy
Bibliographic record
Abstract
Vulvar squamous cell carcinoma of the vulva (VSCC) with sarcomatoid features is a rare variant characterized by spindle-cell morphology and occasional heterologous elements. They are difficult to evaluate due to rarity and lack unified nomenclature and histopathologic criteria. Eight cases of sarcomatoid VSCC were retrieved from archival electronic medical records from 2013 to 2021. Patients often presented at a mean age of 78-yr-old at stage FIGO (2018) III or above. The mean greatest diameter was 4.5 cm and mean depth of invasion was 11.5 mm. Spindle cells exhibited fascicular, nested, and cord-like growth patterns, though a haphazard arrangement or a mix of patterns was frequently observed. The sarcomatoid component frequently arose in the context of prior conventional VSCC treated with radiation therapy (n=6, 75% and chemotherapy (n=5, 63%) with latency periods of 5.2 and 5.4 yr, respectively. Associated lesions included differentiated vulvar intraepithelial neoplasia (n=4, 50%), lichen sclerosus (n=5, 63%), and vulvar acanthosis with altered differentiation (n=1, 13%). Immunohistochemistry showed that VSCC with sarcomatoid features aberrantly expressed p53 (n=4, 60%) through diffuse overexpression or null-type patterns. P16 was invariably negative in all cases. These findings suggest that VSCC with sarcomatoid features does not arise from the HPV-related carcinogenic pathway, and that a subset may also arise from the TP53-independent pathway. Recognizing sarcomatoid morphology in VSCC is important since it may confer an elevated risk of nodal metastasis and poorer survival. Larger studies are required to assess the etiology and prognostic implications of VSCC with sarcomatoid features.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".