Refractory hypercalcemia caused by parathyroid-hormone-related peptide secretion from a metastatic pancreatic neuroendocrine tumor: a case report
Bibliographic record
Abstract
BACKGROUND: The parathyroid-hormone-related peptide has been shown in earlier studies to be secreted by pancreatic neuroendocrine tumors, although its secretion by gastroenteropancreatic neuroendocrine tumors is very rare. In contrast, a number of solid tumors, such as lung cancer and renal cell carcinoma, have frequently been shown to secrete parathyroid-hormone-related peptide. CASE PRESENTATION: We describe a case report of a 53-year-old Canadian white patient with refractory parathyroid-hormone-related-peptide-mediated hypercalcemia associated with metastatic pancreatic neuroendocrine tumors and review the available research. Our patient had severe hypercalcemia initially refractory to treatment. Computed tomography scan of the abdomen revealed a pancreatic lesion and multiple hepatic metastases. A liver biopsy confirmed metastatic pancreatic neuroendocrine tumor expressing parathyroid-hormone-related peptide. Circulating parathyroid-hormone-related peptide levels were at the upper limit of normal preoperatively and decreased sharply postoperatively following debulking of the tumor. Blood calcium levels eventually normalized on long-term administration of the somatostatin analog lanreotide in combination with denosumab. CONCLUSIONS: We describe a case with parathyroid-hormone-related-peptide-mediated hypercalcemia in a pancreatic neuroendocrine tumor (parathyroid-hormone-related peptide tumor). Refractory hypercalcemia was likely the result of parathyroid-hormone-related peptide overproduction by the tumor and resolved following normalization of parathyroid-hormone-related peptide levels.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.004 |
| 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".