Gastroenteral-Pancreatic Neuroendocrine Tumors in Taiwan

NCT02102893 | Completed DMC

• 1 other identifier: T1214
• Study Type: observational
• Target: 600
• Locations: 1 country
• Sites: 3

Brief Summary

Neuroendocrine tumors (NETs) are neoplasms originating from neuroendocrine cells located throughout the body. They secret various peptides and cause various symptoms (carcinoid syndrome) or not. The incidence of NETs was not well-known till recently when Yao et al. and Hausa et al. published their surveys of NETs using data from the US Surveillance, Epidemiology, and End Results (SEER) program and from the Norwegian Registry of Cancer (NRC). The incidence of NETs in Taiwan by using the Taiwan Cancer Registry (TCR) data was increased from 0.3 to 1.51 per 100,000 from 1996 to 2008. The increased incidence for NET worldwide probably was partially due to the awareness and improvement of diagnostic technology. Compared with the incidence in western countries, the incidence of NET is much lower in Taiwan. And the incidence of NETs in Asian Pacific Islanders was also lower than the whites and blacks in US. Gastroenteral-pancreatic NETs (GEP-NETs), accounting for half to two thirds of all NETs, is the most common site of NETs. As the progress in the understanding of pathophysiology for GEP-NET, there are two novel targeted agents shown to be effective for the treatment of GEP-NET. Meanwhile, response to mTOR inhibitor was better for Asian than Caucasian in the phase III study using everolimus for advanced pancreatic NETs. These information suggests that there is racial difference for either genetic or environmental risk factors and these factors result in different incidence and/or clinical outcome. Currently, there is limited data for thorough epidemiologic study in Taiwan. The aim of this study is to collect clinical information for GEP-NET, and survey the prognostic factors for GEP-NET in Taiwan. the investigators suppose that this epidemiologic study would provide a database potentially to improve the diagnosis, and treatment of GEP-NET. This study plans to include 600 GEP-NET patients. NET patients diagnosed after 2011.1.1 is included in this study. Furthermore, the investigators will provide the check of immunohistochemical staining for the tumor tissue of GEP-NET patients, including the functioning status (insulinoma, glucagonoma, gastrinoma, VIPoma) and the degree of differentiation, the expression of SSTR2 or SSTR5 and the check of possible primary site for unknown primary NET patients. This examination will provide more accurate diagnosis for the patients and further treatment suggestion for the patients.

Conditions

Neuroendocrine Tumors

Keywords

enroll the 600 patients in this trial

Outcome Measures

Primary Outcomes (1)

• To establish the database for GEP-NET by register the clinical presentation, diagnosis, stages, treatment and clinical outcome of GEP-NET patients.

  Survival analysis will be conducted to calculate the hazard ratio of GEP-NET outcomes (overall survival, disease-free survival, disease-specific survival, and second primary) associated with potential prognostic factors. First, univariate survival analysis will be performed using Kaplan-Meier method. Those variables that are significantly (p\<0.05) associated with GEP-NET outcomes will be included in the multivariable analysis using Cox proportional hazards regression model. With accrual interval of 10 years,an average follow-up of 5 years, and a median time to outcome of 5 years, the proposed sample size of 500 cases has a statistical power of 1.0 to detect a hazard ratio of 1.5 or more.

  There are approximately 500 patients estimated to meet the inclusion criteria from 10 hospitals in Taiwan. This recruitment estimate may vary and will be flexible since no formal sample size is required.

Eligibility Criteria

• Age: 20 Years - 75 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

2.1 To establish the database for GEP-NET by register the clinical presentation, diagnosis, stages, treatment and clinical outcome of GEP-NET patients. 2.2 To analyze the risk and prognostic factors of GEP-NET patients. 2.3 To make a treatment consensus for GEP-NETs

You may qualify if:

• Histologically proven GEP-NET patients, according to the WHO classification in any stage.
• Signed informed consent

You may not qualify if:

• Patients of GEP-NET without histological proof

Sponsors & Collaborators

• National Health Research Institutes, Taiwan: lead
• National Taiwan University Hospital: collaborator
• National Cheng-Kung University Hospital: collaborator
• Chang Gung Memorial Hospital: collaborator

Study Sites (3)

Changhua Christian Hospital

Changhua, Taiwan

Location

Chang-Gung Memorial Hospital

Taipei, Taiwan

Location

National Taiwan University Hospital

Taipei, Taiwan

Location

Biospecimen

Retention: SAMPLES WITH DNA

Furthermore, the investigators will provide the check of immunohistochemical staining for the tumor tissue of GEP-NET patients, including the functioning status (insulinoma, glucagonoma, gastrinoma, VIPoma) and the degree of differentiation, the expression of SSTR2 or SSTR5 and the check of possible primary site for unknown primary NET patients. This examination will provide more accurate diagnosis for the patients and further treatment suggestion for the patients.

MeSH Terms

Conditions

Neuroendocrine Tumors

Condition Hierarchy (Ancestors)

Neuroectodermal Tumors; Neoplasms, Germ Cell and Embryonal; Neoplasms by Histologic Type; Neoplasms; Neoplasms, Nerve Tissue

Study Officials

• Li-Tzong Chen, Ph.D.

  National Institute of Cancer Research

  STUDY CHAIR

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: February 27, 2014
• First Posted: April 3, 2014
• Study Start: February 13, 2014
• Primary Completion: April 15, 2020
• Study Completion: April 15, 2020
• Last Updated: July 29, 2022

Record last verified: 2015-09

Data Sharing

• IPD Sharing: Will not share

Locations

TW (3)