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The 2017 World Health Organization (WHO) introduced a new category of high-grade, well-differentiated neuroendocrine neoplasms (NENs) that called neuroendocrine tumors (NETs) G3 in pancreatic NENs classification and, then, in 2019, for all gastro-entero-pancreatic (GEP) tract NENs.
The new classification made it possible to separate NETs G3 from high-grade, poorly-differentiated, NENs that are called neuroendocrine carcinomas (NECs).
However, in clinical practice, we observed that several clinical, pathological and radiological differences are arising among NET G3 patients, suggesting that a multiparametric definition of NET G3 is needed.
High-grade neuroendocrine neoplasms (NENs) represent the poorest prognosis category within NENs. During the years, the prognostic differences among the subgroups led to identify at least two subcategories of high-grade NENs, according the morphologic features of the two subtypes.
Indeed, the 2017 World Health Organization (WHO) introduced a new category of high-grade, well-differentiated NENs that called neuroendocrine tumors (NETs) G3 for pancreatic NENs and, then, in 2019, for all gastro-entero-pancreatic (GEP) tract NENs, allowing to separate NET G3 from the other high-grade, poorly-differentiated, NENs, so called neuroendocrine carcinomas (NECs).
However, since the new-category has been introduced, NET G3 category seemed to be more heterogeneous than presumed. Indeed, clinical, pathological and radiological features seemed to identify different prognostic subcategories of NET G3. We recently performed a retrospective analysis on a small pool of 48 NET G3 patients, correlating the clinical outcomes with these different features. The results of our study seemed to suggest prognostic and predictive factors that deserve to be prospectively explored to better understand this pathology and that might to be part of NET G3 multiparametric classification system. Based on the results of our retrospective analysis, we underlined the importance of a systematic and well-designed collection of high-quality data in order to improve our knowledge on this topic.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| NET G3 patients | Histological diagnosis of well-differentiated neuroendocrine tumor G3 performed or reviewed by a NEN-dedicated pathologist. |
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| Measure | Description | Time Frame |
|---|---|---|
| Immunohistochemical characteristics analysis | Analysis of the morphology Analysis of proliferation index Ki-67 Analysis of Ki-67 expression (as hotspot or a diffuse expression on the sample) Analysis of Synaptophysin, and chromogranin expression | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Review of the functional imaging | Analysis of homogeneity or inhomogeneity of radiotracer distribution Analysis of the concordance/discordance between functional imaging. For "late-NET G3", the specialist in nuclear medicine will review both functional imaging (before and after NET G3 diagnosis) | 3 years |
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Inclusion Criteria:
Exclusion Criteria:
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NET G3 patients managed at IEO. Histological diagnosis of well-differentiated neuroendocrine tumor G3 performed or reviewed by a NEN-dedicated pathologist. In case of "late-NET G3" a NEN-dedicated pathologist will perform a pathologic review of the previous NET G1/2, too, unless a NEN-dedicated pathologist has already done and except for diagnoses performed in a NEN-referral Center.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Francesca Spada, MD | Contact | +390257489258 | divisione.gastrointestinale@ieo.it | |
| Cristina Mazzon | Contact | cristina.mazzon@ieo.it |
| Name | Affiliation | Role |
|---|---|---|
| Francesca Spada, MD | Istituto Europeo di Oncologia | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| European Institute of Oncology | Recruiting | Milan | 20141 | Italy |
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| ID | Term |
|---|---|
| D018358 | Neuroendocrine Tumors |
| ID | Term |
|---|---|
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
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blood sample, tumor tissue
| D009380 | Neoplasms, Nerve Tissue |