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痰液肿瘤液体活检:用于肺癌诊断的脱落肿瘤细胞的分离与高通量单细胞分析

Sputum-Based Tumor Fluid Biopsy: Isolation and High-Throughput Single-Cell Analysis of Exfoliated Tumor Cells for Lung Cancer Diagnosis.

作者信息

Si Haibin, Du Dexin, Li Wenbo, Li Qingling, Li Jingxin, Zhao Dongbo, Li Lu, Tang Bo

机构信息

College of Chemistry, Chemical Engineering and Materials Science, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, P. R. China.

Department of Physiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, P. R. China.

出版信息

Anal Chem. 2021 Aug 3;93(30):10477-10486. doi: 10.1021/acs.analchem.1c00833. Epub 2021 Jul 22.

Abstract

Timely and effective diagnosis is of great significance for improving the survival rate of lung cancer patients. Although histopathology is the main diagnostic tool among the existing methods for lung cancer diagnosis, it is not suitable for high-risk groups, early lung cancer patients, patients with advanced-stage disease, and other situations wherein tumor tissues cannot be obtained. In view of this, we proposed an innovative lung cancer diagnosis method employing for the first time a microfluidic technology for high-efficiency isolation and high-throughput single-cell analysis of exfoliated tumor cells (ETCs) in sputum. This method fully combines the advantages of traditional sputum cytology and microfluidic technology and realizes the diagnosis of lung cancer by using a small amount of repeatable ETCs instead of the tumor tissue. This method is expected to provide a practical strategy for the non-invasive detection of lung cancer patients and lung cancer screening for high-risk groups.

摘要

及时有效的诊断对于提高肺癌患者的生存率具有重要意义。虽然组织病理学是现有肺癌诊断方法中的主要诊断工具,但它不适用于高危人群、早期肺癌患者、晚期疾病患者以及其他无法获取肿瘤组织的情况。鉴于此,我们首次提出了一种创新的肺癌诊断方法,该方法采用微流控技术对痰液中的脱落肿瘤细胞(ETC)进行高效分离和高通量单细胞分析。该方法充分结合了传统痰细胞学和微流控技术的优势,利用少量可重复获取的ETC而非肿瘤组织实现肺癌诊断。该方法有望为肺癌患者的无创检测及高危人群的肺癌筛查提供一种实用策略。

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