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Models of Gastroenteropancreatic Neuroendocrine Neoplasms: Current Status and Future Directions.
- Source :
-
Neuroendocrinology [Neuroendocrinology] 2021; Vol. 111 (3), pp. 217-236. Date of Electronic Publication: 2020 Jul 02. - Publication Year :
- 2021
-
Abstract
- Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are a rare, heterogeneous group of tumors that originate from the endocrine system of the gastrointestinal tract and pancreas. GEP-NENs are subdivided according to their differentiation into well-differentiated neuroendocrine tumors (NETs) and poorly differentiated neuroendocrine carcinomas (NECs). Since GEP-NENs represent rare diseases, only limited data from large prospective, randomized clinical trials are available, and recommendations for treatment of GEP-NEN are in part based on data from retrospective analyses or case series. In this context, tractable disease models that reflect the situation in humans and that allow to recapitulate the different clinical aspects and disease stages of GEP-NET or GEP-NEC are urgently needed. In this review, we highlight available data on mouse models for GEP-NEN. We discuss how these models reflect tumor biology of human disease and whether these models could serve as a tool for understanding the pathogenesis of GEP-NEN and for disease modeling and pharmacosensitivity assays, facilitating prediction of treatment response in patients. In addition, open issues applicable for future developments will be discussed.<br /> (© 2020 The Author(s). Published by S. Karger AG, Basel.)
- Subjects :
- Animals
Humans
Mice
Cell Line, Tumor
Disease Models, Animal
Intestinal Neoplasms genetics
Intestinal Neoplasms metabolism
Intestinal Neoplasms pathology
Neuroendocrine Tumors genetics
Neuroendocrine Tumors metabolism
Neuroendocrine Tumors pathology
Pancreatic Neoplasms genetics
Pancreatic Neoplasms metabolism
Pancreatic Neoplasms pathology
Stomach Neoplasms genetics
Stomach Neoplasms metabolism
Stomach Neoplasms pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1423-0194
- Volume :
- 111
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Neuroendocrinology
- Publication Type :
- Academic Journal
- Accession number :
- 32615560
- Full Text :
- https://doi.org/10.1159/000509864