Treatment and recurrence of loco-regional (Stage I-III) NET G3
LocoRegNET G3
Level
: Level 2Launch date
: 1 March 2026Task force chairs
: ENETS high-grade task forcePrinciple investigators
: Halfdan Sorbye, Bergen, Norway.
Project description
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Cancer Clinic, Haukeland University Hospital, Bergen, Norway International multicentric retrospective real-world cohort Neuroendocrine tumors (NET) grade 3 is a relatively new entity, with a well-differentiated morphology, but a Ki-67 greater than 20%. It was included in the WHO classifications of 2017 for pancreas and 2020 for digestive NET. The evolution of NET G3 is incompletely understood, and many cases have a prior diagnosis of NET G1/2. Most of NET G3 are located in the pancreas (50-60%), but it can occur in other organs, such as small bowel, lung, stomach and rectum. NET G3 express somatostatin receptor 2 (SSTR2) in 70-85%, which is similar or less to that of NET G1/G2. Median Ki-67 is 30%, but still some cases have a Ki-67 >55%. The majority of NET G3 have metastases at diagnosis, up to 85% in the NORDIC NEC 2 study. The prognosis of patients with metastatic NET G3 is worse than for NET G1/G2, but better than for neuroendocrine carcinoma (NEC). Data on NET G3 are limited and data on patients with initially non-metastatic NET G3 are lacking. Non-metastatic NET G3 are too rare to perform a prospective study and the data quality in general registry studies may vary due to difficulties in the diagnostic work-up of NET G3 and their recent recognition in classifications. We therefore propose this study to generate new high-quality data through a dedicated retrospective collected cohort from expert NET centers. McNamara MG, et al. Controversies in NEN: An ENETS position statement on the treatment of patients with Grade 3 well-differentiated neuroendocrine tumours of the gastro-enteropancreatic tract. J Neuroendocrinol. 2025 Dec;37(12):e70080. Recruitment through invited expert NET centers (20-30), hopefully 50-60 cases. Data will be collected by local investigators and filled into the ENETS database (level 2, extended version: 200 items) Recurrence rate after treatment, survival and cancer specific survival Histological slides (HE, Ki-67, CgA, SYN, and if avaiable Rb and P53) should be digitalized to be later uploaded to a platform for pathological re-assessment (so a kind of pathological second opinion request). Descriptive cohort. Survival curves: Kaplan Meier. Univariable/multivariable analysis of clinically relevant pre-defined characteristics and their influence on recurrence and OS (Cox model). The principal investigator will be first author. Centers providing >5% of included patients with sufficient data quality will be co-authors. This short video provides step-by-step guidance on how to enter data in REDCap, including key study-specific requirements. Watch the video: https://youtu.be/cbHw1mav55g
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Morphological sub-study (optional- but very important if possible)
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Introduction video – REDCap data entry (Locoregional NET G3)