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足迹:利用患者来源的模型为肺癌打上印记,从分子机制到临床转化

Footprints: Stamping hallmarks of lung cancer with patient-derived models, from molecular mechanisms to clinical translation.

作者信息

Song Yang, Wang Yadong, Guan Ai, Xue Jianchao, Li Bowen, Huang Zhicheng, Zheng Zhibo, Liang Naixin, Yang Yanlian, Li Shanqing

机构信息

Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

出版信息

Front Bioeng Biotechnol. 2023 Feb 21;11:1132940. doi: 10.3389/fbioe.2023.1132940. eCollection 2023.

Abstract

The conventional two-dimensional (2D) tumor cell lines in Petri dishes have played an important role in revealing the molecular biological mechanism of lung cancer. However, they cannot adequately recapitulate the complex biological systems and clinical outcomes of lung cancer. The three-dimensional (3D) cell culture enables the possible 3D cell interactions and the complex 3D systems with co-culture of different cells mimicking the tumor microenvironments (TME). In this regard, patient-derived models, mainly patient-derived tumor xenograft (PDX) and patient-derived organoids discussed hereby, are with higher biological fidelity of lung cancer, and regarded as more faithful preclinical models. The significant is believed to be the most comprehensive coverage of current research on tumor biological characteristics. Therefore, this review aims to present and discuss the application of different patient-derived lung cancer models from molecular mechanisms to clinical translation with regards to the dimensions of different hallmarks, and to look to the prospects of these patient-derived lung cancer models.

摘要

培养皿中的传统二维(2D)肿瘤细胞系在揭示肺癌的分子生物学机制方面发挥了重要作用。然而,它们无法充分重现肺癌复杂的生物系统和临床结果。三维(3D)细胞培养能够实现可能的3D细胞相互作用以及具有不同细胞共培养的复杂3D系统,模拟肿瘤微环境(TME)。在这方面,患者来源的模型,主要是本文讨论的患者来源的肿瘤异种移植(PDX)和患者来源的类器官,具有更高的肺癌生物学保真度,被视为更可靠的临床前模型。其显著之处被认为是对当前肿瘤生物学特征研究的最全面覆盖。因此,本综述旨在呈现和讨论不同患者来源的肺癌模型从分子机制到临床转化在不同特征维度方面的应用,并展望这些患者来源的肺癌模型的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a27c/9993089/79fd35cfc28a/fbioe-11-1132940-g001.jpg

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