MedElevator Войти в исследования
← Поиск публикаций

DOI 10.3389/fonc.2023.1211262

Медицинская библиотека · Frontiers in oncology · 2023

Research progress of nanovaccine in anti-tumor immunotherapy.

Yao Min, Liu Xiyu, Qian Zhangbo, Fan Dianfa, Sun Xinjun, Zhong Liping, Wu Pan

СтатьяОбзорПеревод в очереди

Аннотация

Tumor vaccines aim to activate dormant or unresponsive tumor-specific T lymphocytes by using tumor-specific or tumor-associated antigens, thus enhancing the body's natural defense against cancer. However, the effectiveness of tumor vaccines is limited by the presence of tumor heterogeneity, low immunogenicity, and immune evasion mechanisms. Fortunately, multifunctional nanoparticles offer a unique chance to address these issues. With the advantages of their small size, high stability, efficient drug delivery, and controlled surface chemistry, nanomaterials can precisely target tumor sites, improve the delivery of tumor antigens and immune adjuvants, reshape the immunosuppressive tumor microenvironment, and enhance the body's anti-tumor immune response, resulting in improved efficacy and reduced side effects. Nanovaccine, a type of vaccine that uses nanotechnology to deliver antigens and adjuvants to immune cells, has emerged as a promising strategy for cancer immunotherapy due to its ability to stimulate immune responses and induce tumor-specific immunity. In this review, we discussed the compositions and types of nanovaccine, and the mechanisms behind their anti-tumor effects based on the latest research. We hope that this will provide a more scientific basis for designing tumor vaccines and enhancing the effectiveness of tumor immunotherapy.

Для цитирования: Yao Min, Liu Xiyu, Qian Zhangbo, Fan Dianfa, Sun Xinjun, Zhong Liping, Wu Pan. Research progress of nanovaccine in anti-tumor immunotherapy.. Frontiers in oncology. 2023. DOI: 10.3389/fonc.2023.1211262.
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.