Vulvar Carcinosarcoma Secondary to Radiotherapy
Bibliographic record
Abstract
BACKGROUND: Carcinosarcomas, a malignancy consisting of squamous cell carcinoma with sarcomatous features, are extremely rare and aggressive tumor of the vulva. Including this case, there are 17 cases reported in the literature. Risk factors for this entity are poorly understood. CASE REPORT: We describe the case of a rapidly growing primary vulvar carcinosarcoma developing in an 84-year-old woman. The patient had previously received pelvic radiation for a squamous carcinoma of the anal canal. The excised vulvar tumor showed a superficial squamous carcinomatous element, associated vulvar intraepithelial neoplasia, and a transition into deeper sarcomatous component. By immunohistochemistry, the carcinomatous component was positive for keratins and negative for vimentin and smooth muscle actin, whereas the sarcomatous component was negative for keratins and positive for vimentin and smooth muscle actin. The patient was treated with hemivulvectomy with sentinel lymph node dissection followed by limited postoperative chemotherapy. The FIGO stage of the vulvar cancer was stage IB (T1 N0 M0), but even with this low stage, the patient had recurrence 17 months after treatment and died of her disease 8 months later. We compared age and stage at presentation, treatment, disease-free survival, and overall survival of our case to other reported vulvar carcinosarcomas. CONCLUSIONS: Vulvar carcinosarcomas are poorly characterized aggressive tumors with poor outcome. This is the first case reported that points to previous radiation exposure as a possible etiologic agent for this lesion.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".