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Gastroenteral-Pancreatic Neuroendocrine Tumors in Taiwan

27 de julio de 2022 actualizado por: National Health Research Institutes, Taiwan

A Multi-center, Registration Study for Gastroenteral-Pancreatic Neuroendocrine Tumors in Taiwan

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.

Descripción general del estudio

Estado

Terminado

Descripción detallada

2.0 OBJECTIVES

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

3.0 PATIENT POPULATION 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.

3.1 Inclusion Criteria: 3.1.1 histologically proven GEP-NET patients, according to the WHO classification in any stage.

3.1.2 Signed informed consent 3.2 Exclusion criteria: 3.2.1 patients of GEP-NET without histological proof

Tipo de estudio

De observación

Inscripción (Actual)

600

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Ubicaciones de estudio

      • Changhua, Taiwán
        • Changhua Christian Hospital
      • Taipei, Taiwán
        • National Taiwan University Hospital
      • Taipei, Taiwán
        • Chang-Gung Memorial Hospital

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

20 años a 75 años (Adulto, Adulto Mayor)

Acepta Voluntarios Saludables

No

Géneros elegibles para el estudio

Todos

Método de muestreo

Muestra de probabilidad

Población de estudio

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

Descripción

Inclusion Criteria:

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

Exclusion Criteria:

  • Patients of GEP-NET without histological proof

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

  • Modelos observacionales: Solo caso
  • Perspectivas temporales: Retrospectivo

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Medida Descripción
Periodo de tiempo
To establish the database for GEP-NET by register the clinical presentation, diagnosis, stages, treatment and clinical outcome of GEP-NET patients.
Periodo de tiempo: 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.
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.

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio

13 de febrero de 2014

Finalización primaria (Actual)

15 de abril de 2020

Finalización del estudio (Actual)

15 de abril de 2020

Fechas de registro del estudio

Enviado por primera vez

27 de febrero de 2014

Primero enviado que cumplió con los criterios de control de calidad

2 de abril de 2014

Publicado por primera vez (Estimar)

3 de abril de 2014

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

29 de julio de 2022

Última actualización enviada que cumplió con los criterios de control de calidad

27 de julio de 2022

Última verificación

1 de septiembre de 2015

Más información

Términos relacionados con este estudio

Plan de datos de participantes individuales (IPD)

¿Planea compartir datos de participantes individuales (IPD)?

No

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

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