Nanomedicine-Based Therapeutic Approaches in Colorectal Cancer Using Patient-Derived Xenograft Models: Prospects and Challenges.
Аннотация
Colorectal cancer is leading cause of morbidity and mortality worldwide. Advances in surgery, chemotherapy, and targeted therapies have improved treatment options, effective clinical management remains limited by tumor heterogeneity, resistance to therapy, and metastatic spread. In recent years, nanomedicine has gained attention as an effective strategy to address these challenges by improving drug delivery to tumor sites, enhancing bioavailability, and reducing systemic toxicity. Patient-derived xenograft models have become an important tool in preclinical cancer research because they preserve the histological and genetic characteristics of original human tumors and more closely reflect clinical disease behavior. This review summarizes recent advances in nanomedicine-based approaches for colorectal cancer treatment, with a particular focus on their evaluation using patient-derived xenograft models. A range of nanocarrier systems, including nanoparticles, liposomes, and dendrimers, have been explored for delivery of chemotherapeutic agents, biologics, and small-molecule inhibitors, demonstrating improved tumor targeting and therapeutic potential. Despite these encouraging developments, several challenges remain, including the complexity of tumor microenvironment, variability between patients, and concerns related to safety, scalability, and clinical translation. This review highlights current progress to enable the successful application of nanomedicine-based therapies for colorectal cancer in clinical practice.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
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.