Advances in preclinical research models for gastroenteropancreatic neuroendocrine neoplasm

Lingjun CUI; Chao TIAN; Zixuan CHENG; Jiabin ZHENG; Fei SU; Huangying TAN

doi:10.19401/j.cnki.1007-3639.2022.09.004

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Advances in preclinical research models for gastroenteropancreatic neuroendocrine neoplasm

Specialists' Commentary | 更新时间：2025-12-31

- Advances in preclinical research models for gastroenteropancreatic neuroendocrine neoplasm
- China Oncology Vol. 32, Issue 9, Pages: 779-785(2022)
- 作者机构：
  
  1. 北京中医药大学研究生院,北京 100029
  2. 中日友好医院中西医结合肿瘤内科,北京 100029
- 作者简介：
- 基金信息：
- DOI：10.19401/j.cnki.1007-3639.2022.09.004
  CLC： R735
- Received：01 July 2022，
  
  Revised：2022-08-05，
  
  Published：30 September 2022
- 稿件说明：
移动端阅览
Lingjun CUI, Chao TIAN, Zixuan CHENG, et al. Advances in preclinical research models for gastroenteropancreatic neuroendocrine neoplasm[J]. China Oncology, 2022, 32(9): 779-785.
DOI：

Lingjun CUI, Chao TIAN, Zixuan CHENG, et al. Advances in preclinical research models for gastroenteropancreatic neuroendocrine neoplasm[J]. China Oncology, 2022, 32(9): 779-785. DOI： 10.19401/j.cnki.1007-3639.2022.09.004.

摘要

胃肠胰神经内分泌肿瘤（gastroenteropancreatic neuroendocrine neoplasm

GEP-NEN）是一种近年来发病率逐年升高的罕见异质性肿瘤

根据其分化程度

可分为神经内分泌瘤（neuroendocrine tumor

NET）和神经内分泌癌（neuroendocrine carcinoma

NEC）。随着对其发病机制和治疗手段的探索逐渐加深

临床前模型的重要性日渐凸显。本文就目前已发表的细胞系、类器官模型、人源肿瘤异种移植物模型及基因工程小鼠模型等临床前模型进行综述

并探讨这些模型目前的实际应用情况及其优缺点

旨在为未来研究提供新的思路和方向。

Abstract

Gastroenteropancreatic neuroendocrine neoplasm (GEP-NEN) is a rare

heterogeneous tumor that can be divided into neuroendocrine tumor (NET) and neuroendocrine carcinoma (NEC) due to its degree of differentiation. With the gradual deepening of the exploration of its pathogenesis and treatment methods

the importance of preclinical models has become increasingly prominent. Here we reviewed the published preclinical models such as cell lines

organoid models

patient-derived xenograft models and genetically engineered mouse models. We also discussed the current practical applications of these models and their strengths and weaknesses

to provide threads and directions for future research.

关键词

Keywords

references

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