| Literature DB >> 35267427 |
Daisuke Takayanagi1,2,3, Hourin Cho1, Erika Machida1,4, Atsushi Kawamura1,5, Atsuo Takashima1,6, Satoshi Wada2,3, Takuya Tsunoda3, Takashi Kohno1, Kouya Shiraishi1.
Abstract
Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are a heterogeneous group of malignancies that originate from the diffuse neuroendocrine cell system of the pancreas and gastrointestinal tract and have increasingly increased in number over the decades. GEP-NENs are roughly classified into well-differentiated neuroendocrine tumors and poorly differentiated neuroendocrine carcinomas; it is essential to understand the pathological classification according to the mitotic count and Ki67 proliferation index. In addition, with the advent of molecular-targeted drugs and somatostatin analogs and advances in endoscopic and surgical treatments, the multidisciplinary treatment of GEP-NENs has made great progress. In the management of GEP-NENs, accurate diagnosis is key for the proper selection among these diversified treatment methods. The evaluation of hormone-producing ability, diagnostic imaging, and histological diagnosis is central. Advances in the study of the genetic landscape have led to deeper understanding of tumor biology; it has also become possible to identify druggable mutations and predict therapeutic effects. Liquid biopsy, based on blood mRNA expression for GEP-NENs, has been developed, and is useful not only for early detection but also for assessing minimal residual disease after surgery and prediction of therapeutic effects. This review outlines the updates and future prospects of the epidemiology, diagnosis, and management of GEP-NENs.Entities:
Keywords: biomarkers; carcinoid tumor; gastroenteropancreatic neuroendocrine tumor; genetics
Year: 2022 PMID: 35267427 PMCID: PMC8909424 DOI: 10.3390/cancers14051119
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Age-adjusted incidence of GEP-NENs, according to country.
| Country | Reference | GEP-NEN Incidence | Data Time Period |
|---|---|---|---|
| Netherlands | [ | 2.12 | 2001–2010 |
| Germany | [ | 2.2 | 2006 |
| Taiwan | [ | 2.31 | 2015 |
| Japan | [ | 3.53 | 2016 |
| United States of America | [ | 3.56 | 2012 |
| Iceland | [ | 3.85 | 2000–2014 |
| Australia | [ | 4.46 | 2006–2015 |
| United Kingdom | [ | 4.6 | 2015 |
| Norway | [ | 6.62 | 2009 |
* In order of incidence.
Figure 1Distribution of the primary sites of NENs. Numbers shown in parentheses denote the study samples in each reference. USA: United States of America. Data for the figure is based on references [12,16,17,18,21,22,23,27].
World Health Organization (WHO) 2019 classification for neuroendocrine neoplasms of the gastrointestinal tract and hepatopancreatobiliary organs. The table is modified from [1].
| Definition | Cell Morphology | Ki67 Proliferative Index a | Mitotic Count b |
|---|---|---|---|
| NET G1 | Well-differentiated | <3% | <2 |
| NET G2 | 3–20% | 2–20 | |
| NET G3 | >20% | >20 | |
| NEC | Poorly differentiated | >20% | >20 |
| Small-cell type | |||
| Large-cell type | |||
| MiNEN | Well- or poorly differentiated | Variable | Variable |
NET, neuroendocrine tumor; NEC, neuroendocrine carcinoma; MiNEN, mixed neuroendocrine–non-neuroendocrine neoplasm. a Ki67 proliferative index is determined by counting ≥500 cells in the regions of highest labeling; b Mitotic rates are expressed as the number of mitoses/2 mm2 determined in 50 fields of 0.2 mm2; the final grade is based on the proliferation index that places the neoplasm in the higher-grade category.
Figure 2Mutation frequencies in neuroendocrine neoplasms arising from the gastrointestinal tract and pancreas. The percentages of samples mutated in individual tumor types are shown. PANET: Pancreatic neuroendocrine tumor, SBWDNET: Small bowel well-differentiated neuroendocrine tumor, RWDNET: Well-differentiated neuroendocrine tumor of the rectum, AWDNET: Well-differentiated neuroendocrine tumor of the appendix, HGNEC: High-grade neuroendocrine carcinoma of the colon and rectum.
Figure 3Frequency of actionable genetic mutations in gastroenteropancreatic neuroendocrine neoplasms. Percentages of samples mutated in individual tumor types are shown. PANET: Pancreatic neuroendocrine tumor, SBWDNET: Small bowel well-differentiated neuroendocrine tumor, RWDNET: Well-differentiated neuroendocrine tumor of the rectum, AWDNET: Well-differentiated neuroendocrine tumor of the appendix, HGNEC: High-grade neuroendocrine carcinoma of the colon and rectum.
Diagnostic sensitivity, specificity, and accuracy of NETest.
| Author | Sites of NET | Sensitivity (%) | Specificity (%) | Accuracy (%) |
|---|---|---|---|---|
| van Treijen et al., 2018 [ | GEP | 89 | 72 | nd |
| Malczewska et al., 2019 [ | P, SI | 99 | 95 | 97 |
| Liu et al., 2019 [ | GEP, BP, U | nd | nd | 96 |
| Malczewska et al., 2020 [ | G | 100 | 87 | 90 |
GEP: Gastroenteropancreatic, P: Pancreatic, SI: Small intestine, BP: Bronchopulmonary, U: unknown primary, G: Gastric, nd: no data.