PDF(Pubmed)
Abstract：
UNASSIGNED: Traditional cell line models are the commonly used preclinical models for lung cancer research. However, cell lines cannot recapitulate the complex tumor heterogeneity and cannot mimic the microenvironment of human cancer. Recently, 3D multicellular in vitro self-assembled models called \"organoids\" have been developed at a fast pace in the field of research, which can mimic the actual primary tumor. At present, several studies have reported on protocols of lung cancer organoids (LCOs) generation, and using LCOs can provide novel insight into the basic and translational research of lung cancer. However, the establishment of the LCO models remains challenging due to the complexity of lung cancer and the immaturity of organoid technology, so it is necessary to understand the influences of different methodologies on LCO generation and review the applications and limitations of LCO models.
UNASSIGNED: In this review, we searched the literature in the recent ten years in the field of LCOs.
UNASSIGNED: We summarized the methodology, the problems, and the solutions in the LCOs generation, its application and limitations, as well as proposing future challenges and perspectives.
UNASSIGNED: Currently, LCOs are successfully generated via exploring the methodology by the researchers. Though there are still challenges in clinical application, LCOs are applied in some cancer studies including investigation of anti-cancer treatment response in vitro, modeling tumor immune microenvironment, and construction of organ chips, which are forging a promising path towards precision medicine.
UNASSIGNED: In this review, we searched the literature in the recent ten years in the field of LCOs.
UNASSIGNED: We summarized the methodology, the problems, and the solutions in the LCOs generation, its application and limitations, as well as proposing future challenges and perspectives.
UNASSIGNED: Currently, LCOs are successfully generated via exploring the methodology by the researchers. Though there are still challenges in clinical application, LCOs are applied in some cancer studies including investigation of anti-cancer treatment response in vitro, modeling tumor immune microenvironment, and construction of organ chips, which are forging a promising path towards precision medicine.
摘要：
■传统的细胞系模型是肺癌研究中常用的临床前模型。然而,细胞系不能概括复杂的肿瘤异质性，也不能模拟人类癌症的微环境。最近,称为“类器官”的3D多细胞体外自组装模型在研究领域得到了快速发展，可以模拟实际的原发性肿瘤。目前,一些研究报道了肺癌类器官（LCOs）产生的协议，使用LCO可以为肺癌的基础和转化研究提供新的见解。然而,由于肺癌的复杂性和类器官技术的不成熟，LCO模型的建立仍然具有挑战性，因此，有必要了解不同方法对LCO生成的影响，并回顾LCO模型的应用和局限性。
■在这篇评论中，我们检索了近十年来LCO领域的文献。
■我们总结了方法论，问题,以及LCO一代中的解决方案，它的应用和局限性，并提出未来的挑战和前景。
■目前，LCO是通过研究人员探索方法成功生成的。尽管在临床应用中仍然存在挑战，LCO应用于一些癌症研究，包括体外抗癌治疗反应的研究，模拟肿瘤免疫微环境，和器官芯片的构建，正在为精准医学开辟一条有希望的道路。
■在这篇评论中，我们检索了近十年来LCO领域的文献。
■我们总结了方法论，问题,以及LCO一代中的解决方案，它的应用和局限性，并提出未来的挑战和前景。
■目前，LCO是通过研究人员探索方法成功生成的。尽管在临床应用中仍然存在挑战，LCO应用于一些癌症研究，包括体外抗癌治疗反应的研究，模拟肿瘤免疫微环境，和器官芯片的构建，正在为精准医学开辟一条有希望的道路。
