Patient-derived tumor models: a suitable tool for preclinical studies on esophageal cancer

医学 食管癌 癌症 临床试验 遗传异质性 肿瘤微环境 食管腺癌 生物信息学 肿瘤科 癌症研究 腺癌 计算生物学 内科学 生物 表型 基因 生物化学
作者
Fan Liang,Hongyan Xu,Hongwei Cheng,Yabo Zhao,Junhe Zhang
出处
期刊:Cancer Gene Therapy [Springer Nature]
卷期号:30 (11): 1443-1455 被引量:3
标识
DOI:10.1038/s41417-023-00652-9
摘要

Esophageal cancer (EC) is the tenth most common cancer worldwide and has high morbidity and mortality. Its main subtypes include esophageal squamous cell carcinoma and esophageal adenocarcinoma, which are usually diagnosed during their advanced stages. The biological defects and inability of preclinical models to summarize completely the etiology of multiple factors, the complexity of the tumor microenvironment, and the genetic heterogeneity of tumors severely limit the clinical treatment of EC. Patient-derived models of EC not only retain the tissue structure, cell morphology, and differentiation characteristics of the original tumor, they also retain tumor heterogeneity. Therefore, compared with other preclinical models, they can better predict the efficacy of candidate drugs, explore novel biomarkers, combine with clinical trials, and effectively improve patient prognosis. This review discusses the methods and animals used to establish patient-derived models and genetically engineered mouse models, especially patient-derived xenograft models. It also discusses their advantages, applications, and limitations as preclinical experimental research tools to provide an important reference for the precise personalized treatment of EC and improve the prognosis of patients.
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