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 in their late 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, 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.