Ulcerated <i>CRTC1::TRIM11</i> cutaneous tumor with metastases
Bibliographic record
Abstract
CRTC1::TRIM11 cutaneous tumor (CTCT) is a rare skin tumor of uncertain differentiation. In the 49 reported cases, only four cases showed regional or distant metastasis, but follow-up remains limited. Herein, we present a case of metastatic CTCT with ulceration, a histological feature that has not been previously described. A 75-year-old male with a 2-month history of toe ulceration underwent a shave biopsy, which showed a dermal nodular neoplasm that was immunoreactive for SOX10 and S100, negative for Melan-A, and was initially diagnosed as melanoma. Upon pathology review at our institution, the tumor was composed of intersecting fascicles and nests of epithelioid and spindle cells. Additional immunohistochemistry revealed immunoreactivity of the tumor for MiTF and NTRK and negativity for HMB-45 and PRAME. Next-generation sequencing identified CRTC1::TRIM11 fusion, leading to a revised diagnosis of CTCT. The patient proceeded to a toe amputation and sentinel lymph node (SLN) biopsy 5 months after the shave biopsy. The amputation showed residual CTCT and a focus on lymphovascular invasion. The SLN revealed multifocal subcapsular metastases. The patient was started on adjuvant nivolumab and showed biopsy-proven recurrence in the right inguinal lymph nodes and imaging findings suspicious for pulmonary metastases 8 months after the excision. In summary, we present a case of CTCT with ulceration and lymphovascular invasion. We also provide additional evidence that a subset of CTCT behaves aggressively. The optimal surgical and medical treatments are unknown.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".