Unusual Presentation of Metastatic Sebaceous Crcinoma and Its Response to Chemotherapy: Is Genotyping a Right Answer for Guiding Chemotherapy in Rare Tumours?
Bibliographic record
Abstract
Sebaceous carcinoma is a rare malignant tumour of skin. It commonly occurs in the head and neck region. The standard of care for localized disease is wide local excision followed by radiotherapy. Occasionally, sebaceous carcinoma can be associated with Muir-Torre syndrome, which is characterized by sebaceous lesions and carcinomas in the visceral organs. Metastatic sebaceous carcinoma is even rarer, with very little evidence about the role of chemotherapy in the treatment of metastatic disease. Here, we report a case of recurrent sebaceous carcinoma metastatic to the rectum (initially mimicking rectal cancer and Muir-Torre syndrome) in which the disease responded to multiple lines of chemotherapy. We also review the available literature on chemotherapy in this disease and discuss the role of tumour profiling and genotype-guided selection of chemotherapeutics in such rare 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 | 0.000 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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".