Clear Cell Sarcoma-like Tumor of the Gastrointestinal Tract: Clinical Outcome and Pathologic Features of a Molecularly Characterized Tertiary Center Case Series
Bibliographic record
Abstract
BACKGROUND/AIM: Clear cell sarcoma-like tumor of the gastrointestinal tract (CCSLTGT) is a very rare and relatively recently characterized mesenchymal neoplasm arising within the wall of the small bowel, stomach, or large bowel, predominantly in adolescents and young adults. Only few anecdotal reports or small series have been published and a consensus on treatment has not been formulated. Complete resection remains the only curative option for localized disease, but despite optimal surgery, CCSLTGT typically shows highly aggressive behavior with a high rate of local recurrence, metastases, and death from disease. The hallmark of CCSLTGT is the presence of EWSR1-CREB1 or EWSR1-ATF1 gene fusions, detectable with reverse transcription-polymerase chain reaction (PCR). The aim of this study was to assess all referred cases of CCSLTGT, and document the pathological features, treatment and outcome of these patients. PATIENTS AND METHODS: We retrospectively reviewed all cases of histologically- and molecularly-confirmed CCSLTGT with EWSR1-CREB1 or EWSR1-ATF1 fusions at our tertiary sarcoma center, between 2009 and 2016. RESULTS: We assessed six patients diagnosed with CCSLTGT. In a median follow-up of 8 months, all patients received surgery, and additionally one patient was treated with chemotherapy and had progressive disease. Five of six patients experienced recurrence or progression of disease and 4 of 6 patients died of disease. CONCLUSION: Our study confirms that CCSLTGT is a very rare aggressive sarcoma subtype with a very poor outcome. Greater international collaboration is required to obtain a better understanding of this disease.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".