Huang Zhicheng, Li Bowen, Wang Yadong, Xue Jianchao, Wei Zewen, Liang Naixin, Li Shanqing
Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing 100730, China.
Department of Biomedical Engineering, School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Zhongguo Fei Ai Za Zhi. 2024 Apr 20;27(4):276-282. doi: 10.3779/j.issn.1009-3419.2024.106.07.
The continuous advancement of molecular detection technology has greatly propelled the development of precision medicine for lung cancer. However, tumor heterogeneity is closely associated with tumor metastasis, recurrence, and drug resistance. Additionally, different lung cancer patients with the same genetic mutation may exhibit varying treatment responses to different therapeutic strategies. Therefore, the development of modern precision medicine urgently requires the precise formulation of personalized treatment strategies through personalized tumor models. Lung cancer organoid (LCO) can highly simulate the biological characteristics of tumor in vivo, facilitating the application of innovative drugs such as antibody-drug conjugate in precision medicine for lung cancer. With the development of co-culture model of LCO with tumor microenvironment and tissue engineering technology such as microfluidic chip, LCO can better preserve the biological characteristics and functions of tumor tissue, further improving high-throughput and automated drug sensitivity experiment. In this review, we combine the latest research progress to summarize the application progress and challenges of LCO in precision medicine for lung cancer. .
分子检测技术的不断进步极大地推动了肺癌精准医学的发展。然而,肿瘤异质性与肿瘤转移、复发及耐药性密切相关。此外,具有相同基因突变的不同肺癌患者对不同治疗策略可能表现出不同的治疗反应。因此,现代精准医学的发展迫切需要通过个性化肿瘤模型精确制定个性化治疗策略。肺癌类器官(LCO)能够高度模拟体内肿瘤的生物学特性,有助于抗体药物偶联物等创新药物在肺癌精准医学中的应用。随着LCO与肿瘤微环境共培养模型以及微流控芯片等组织工程技术的发展,LCO能够更好地保留肿瘤组织的生物学特性和功能,进一步改进高通量和自动化药物敏感性实验。在本综述中,我们结合最新研究进展总结LCO在肺癌精准医学中的应用进展及挑战。