MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1186/s12943-025-02558-6

Медицинская библиотека · Molecular cancer · 2026

The application of experimental models for the drug discovery for digestive tumors.

Zheng Linxiao, Shuai Wen, Liu Yinyang, Deng Yang, Bao Ji, Hu Xiuying, Wang Guan

СтатьяОбзорПеревод в очереди

Аннотация

Drug development for digestive tumors depends on various preclinical models to evaluate their efficacy and safety. Traditional models, such as 2D cell lines and animal models, fail to recapitulate the complex pathology in the human body. Recently, novel models, such as 3D organoids, tumor spheroids, and organ-on-a-chip systems, have undergone rapid growth. These models can recapitulate tissue architecture and the microenvironment in a more faithful way, enhancing the translational relevance of in vitro experiments to clinical outcomes. Moreover, patient-derived xenografts and genetically engineered models retain the genetic heterogeneity and immune contexture of original tumors, which play critical roles in assessing drug efficacy and resistance mechanisms. This review aims to explore the strengths and limitations of diverse models in drug discovery for digestive tumors. In addition, we delineate their utility in target discovery or validation, lead compound screening, and preclinical mechanistic profiling. Current studies indicate that drug failure rates can be minimized by the integration of 2D high-throughput screening, 3D organoid/tumor spheroid screening, and in vivo animal validation. Multimodal synergy and personalized models can lead to the development of more efficient and precise approaches for treating digestive tumors.

Для цитирования: Zheng Linxiao, Shuai Wen, Liu Yinyang, Deng Yang, Bao Ji, Hu Xiuying, Wang Guan. The application of experimental models for the drug discovery for digestive tumors.. Molecular cancer. 2026. DOI: 10.1186/s12943-025-02558-6.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.