Molecular Basis of Pancreatic Neuroendocrine Tumors

Pancreatic neuroendocrine tumors (NETs) are rare well-differentiated neoplasms with limited therapeutic options and unknown cells of origin. The current classification of pancreatic neuroendocrine tumors is based on proliferative grading, and guides therapeutic strategies, however, tumors within gra...

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Bibliographic Details
Published in:	International journal of molecular sciences Vol. 25; no. 20; p. 11017
Main Authors:	Maluchenko, Alesia, Maksimov, Denis, Antysheva, Zoia, Krupinova, Julia, Avsievich, Ekaterina, Glazova, Olga, Bodunova, Natalia, Karnaukhov, Nikolay, Feidorov, Ilia, Salimgereeva, Diana, Voloshin, Mark, Volchkov, Pavel
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 14-10-2024 MDPI
Subjects:	Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Cancer Chemotherapy Classification Development and progression Epigenomics - methods Gene Expression Regulation, Neoplastic Genetic disorders Genomes Genomics - methods Health aspects Humans Hypotheses Insulin Medical research Medicine, Experimental Metastasis Morphology Mutation Neuroendocrine tumors Neuroendocrine Tumors - genetics Neuroendocrine Tumors - metabolism Neuroendocrine Tumors - pathology Pancreas Pancreatic Neoplasms - genetics Pancreatic Neoplasms - metabolism Pancreatic Neoplasms - pathology Pathogenesis Patients Proteomics - methods Review Transcriptome Tumors Canada omics technologies pancreatic neuroendocrine tumors prognosis molecular classification
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Summary:	Pancreatic neuroendocrine tumors (NETs) are rare well-differentiated neoplasms with limited therapeutic options and unknown cells of origin. The current classification of pancreatic neuroendocrine tumors is based on proliferative grading, and guides therapeutic strategies, however, tumors within grades exhibit profound heterogeneity in clinical manifestation and outcome. Manifold studies have highlighted intra-patient differences in tumors at the genetic and transcriptomic levels. Molecular classification might become an alternative or complementary basis for treatment decisions and reflect tumor biology, actionable cellular processes. Here, we provide a comprehensive review of genomic, transcriptomic, proteomic and epigenomic studies of pancreatic NETs to elucidate patterns shared between proposed subtypes that could form a foundation for new classification. We denote four NET subtypes with distinct molecular features, which were consistently reproduced using various omics technologies.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23
ISSN:	1422-0067 1661-6596 1422-0067
DOI:	10.3390/ijms252011017