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Extended Hormone Profiling Identifies a Wider Network of Duodenal Neuroendocrine Tumor Subtypes
Luvy Delfin1,2, Shereen Ezzat3, Sylvia L Asa4
1Department of Pathology, Institute of Pathology, University Hospitals Cleveland, Case Western Reserve University, 11100 Euclid AvenueRoom 212, Cleveland, OH, 44106, USA.
Endocrine Pathology
|June 24, 2025
Summary
This study reveals a wide variety of transcription factors and hormones in duodenal neuroendocrine tumors (NETs), identifying novel cell types and frequent plurihormonality in these rare gastrointestinal NETs.
Area of Science:
- Gastroenterology
- Endocrinology
- Oncology
Background:
- Duodenal neuroendocrine tumors (NETs) are rare neoplasms with diverse cellular origins.
- Understanding the molecular profiles of these tumors is crucial for diagnosis and treatment.
Purpose of the Study:
- To investigate the expression of transcription factors and hormones in well-differentiated duodenal NETs.
- To characterize the spectrum of cell types and hormonal profiles within duodenal NETs.
Main Methods:
- Analysis of 53 patient samples (biopsies, endoscopic mucosal resections, surgical resections) of well-differentiated duodenal NETs.
- Immunohistochemical staining for transcription factors (PAX6, CDX2, ARX, PAX4) and hormones (gastrin, pancreatic polypeptide, serotonin, somatostatin, PYY, CCK, glucagon/GLPs, insulin, motilin).
Main Results:
- PAX6 (85%) and CDX2 (65%) were the most frequently expressed transcription factors; ARX was found in 33%, and PAX4 was negative.
- Gastrin was the most common hormone (43%), followed by pancreatic polypeptide (38%), serotonin (26%), and somatostatin (25%).
- 57% of tumors expressed multiple hormones, indicating significant plurihormonality; novel cell types and composite gangliocytoma/NETs (CoGNETs) were identified.
Conclusions:
- Duodenal NETs exhibit a broad spectrum of cellular phenotypes, including novel types.
- High incidence of plurihormonality is a key feature of duodenal NETs.
- These findings contribute to a better understanding of duodenal NET heterogeneity and classification.

