Non-Metastatic Pure Pancreatic Hepatoid Carcinoma with Genomic and Transcriptomic Analysis: A Case Report
Bibliographic record
Abstract
Background: Pancreatic hepatoid carcinoma (PHC) is a rare and poorly characterized malignancy, with approximately 50 reported cases in the literature. Pure PHC, which lacks any features of adenocarcinoma or neuroendocrine differentiation, is a subset of this population and is extremely rare. Data on its management and genomic findings are limited, and further characterization may provide helpful information in caring for these patients. Case Presentation: A 42-year-old female was found to have a large, well-circumscribed mass in the body of the pancreas with elevated serum alpha-fetoprotein. Imaging demonstrated an 8.5 cm pancreatic lesion with no other disease. Endoscopic ultrasound-guided biopsy revealed a bile-producing carcinoma with morphological and immunohistochemical features consistent with hepatocellular carcinoma. She underwent a subtotal pancreatectomy and splenectomy, and pathologic evaluation confirmed a well-differentiated pure PHC confined to the pancreas. Whole genome and transcriptome analysis showed microsatellite stability, an elevated tumour mutation burden, copy number alterations in Chr19p13.3, and no mutations typically seen in pancreatic ductal adenocarcinoma (PDAC). These findings support the diagnosis of a pure hepatoid carcinoma with clinical, histopathological, and genomic characteristics resembling hepatocellular carcinoma. She remains disease free at 9 months without adjuvant therapy. Conclusion: This case demonstrates further characterization of a rare pancreatic lesion and illustrates the importance of integrated histopathological and genomic analyses in characterizing rare malignancies. Additionally, our findings suggest that pure PHC may be a distinct entity rather than a variant of PDAC.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".