Esophageal Carcinoma with Triplicate Differentiation into Squamous Cell Carcinoma, Small Cell Carcinoma and Adenocarcinoma: a Case Report
Bibliographic record
Abstract
Esophageal carcinoma with multiple differentiation is very rare. The author herein reports a case of esophageal carcinoma with triplicate differentiation (squamous cell carcinoma, small cell carcinoma, and adenocarcinoma). A 78-year-old man was admitted to our hospital because of dysphagia. An endoscopic examination revealed a polypoid tumor (3 x 4 x 3 cm) in the distal esophagus, and biopsy was obtained. The biopsy showed a tumor composed of moderately differentiated squamous cell carcinoma, small cell carcinoma, and adenocarcinoma. The proportions of them were 40% in squamous cell carcinoma component, 50% in small cell carcinoma component, and 10% in adenocarcinoma. There were gradual merges among them. Immunohistochemically, squamous cell carcinoma component was positive for cytokeratins and p53 protein. The Ki-67 labeling was 43%. The small cell carcinoma component was positive for cytokeratin, p53 protein, CD56, and KIT. The Ki-67 labeling was 95%. The adenocarcinoma component was positive for mucins, cytokeratin, p53 protein and CEA. The KI-67 labeling was 52%. The author speculates that this carcinoma arise from totipotent stem cell of the esophagus. The patient was treated by chemoradiation therapy, but died of systemic metastasis 13 months after the initial manifestation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".