Suppr超能文献

类器官技术及其在癌症免疫治疗和精准医学中的应用。

Organoid technology and applications in cancer immunotherapy and precision medicine.

机构信息

Department of Oncology, CHUV, 46 Rue Bugnon, 1011, Lausanne, Switzerland.

出版信息

Curr Opin Biotechnol. 2020 Oct;65:242-247. doi: 10.1016/j.copbio.2020.05.002. Epub 2020 Jun 27.

Abstract

Tumors are complex ecosystems of multiple cell types in addition to cancer cells. The response to therapies can be shaped by not only cancer cell vulnerabilities but also by the cells of the tumor microenvironment (TME). For cellular immune therapies, cancer cells are the direct target, but for most of the immune checkpoint blockades (ICB), the direct therapeutic targets are the immune cells. Current immune therapy approaches, especially immune checkpoint blockades, only work for select patient populations. A pre-treatment, ex vivo assay could help in selecting between immune therapy options. However, for immune therapy applications, ex vivo assays would require the co-culturing of both cancer cells and cells of the TME. New results show that it is now feasible to co-culture both cell types with organoid technologies. However, many challenges remain to both optimize organoid cultures as well as to validate ex vivo assays as predictors of therapeutic benefits from immune therapies.

摘要

肿瘤除了癌细胞之外,还是一个由多种细胞类型组成的复杂生态系统。治疗反应不仅受癌细胞脆弱性的影响,还受肿瘤微环境(TME)中细胞的影响。对于细胞免疫疗法,癌细胞是直接靶点,但对于大多数免疫检查点阻断(ICB),直接治疗靶点是免疫细胞。目前的免疫治疗方法,特别是免疫检查点阻断,仅对特定患者群体有效。一种治疗前的体外检测方法可以帮助选择免疫治疗方案。然而,对于免疫治疗应用,体外检测需要共培养癌细胞和 TME 细胞。新的研究结果表明,现在使用类器官技术共培养这两种细胞类型是可行的。然而,仍然存在许多挑战,需要优化类器官培养并验证体外检测作为免疫治疗治疗获益的预测指标。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验