Liquid Biopsy Instrument for Ultra-Fast and Label-Free Detection of Circulating Tumor Cells

被引:6
作者
Zhu, Shu [1 ,2 ,3 ,4 ]
Zhu, Zhixian [1 ,2 ]
Ni, Chen [1 ,2 ]
Zhou, Zheng [1 ,2 ]
Chen, Yao [1 ,2 ]
Tang, Dezhi [1 ,2 ]
Guo, Kefan [1 ,2 ]
Yang, Shuai [1 ,2 ]
Liu, Kang [1 ,2 ]
Ni, Zhonghua [1 ,2 ]
Xiang, Nan [1 ,2 ]
机构
[1] Southeast Univ, Sch Mech Engn, Nanjing 211189, Peoples R China
[2] Southeast Univ, Jiangsu Key Lab Design & Manufacture Micronano Bi, Nanjing 211189, Peoples R China
[3] Nanjing Normal Univ, Sch Elect & Automat Engn, Nanjing 210023, Peoples R China
[4] Nanjing Normal Univ, Jiangsu Key Lab 3D Printing Equipment & Mfg, Nanjing 210023, Peoples R China
关键词
Blood - Cells - Cytology - Deep learning - Dielectric properties - Diseases - Tumors;
D O I
10.34133/research.0431
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Rapid diagnosis and real-time monitoring are of great important in the fight against cancer. However, most available diagnostic technologies are time-consuming and labor-intensive and are commonly invasive. Here, we describe CytoExam, an automatic liquid biopsy instrument designed based on inertial microfluidics and impedance cytometry, which uses a deep learning algorithm for the analysis of circulating tumor cells (CTCs). In silico and in vitro experiments demonstrated that CytoExam could achieve label-free detection of CTCs in the peripheral blood of cancer patients within 15 min. The clinical applicability of CytoExam was also verified using peripheral blood samples from 10 healthy donors and >50 patients with breast, colorectal, or lung cancer. Significant differences in the number of collected cells and predicted CTCs were observed between the 2 groups, with variations in the dielectric properties of the collected cells from cancer patients also being observed. The ultra-fast and minimally invasive features of CytoExam may pave the way for new paths for cancer diagnosis and scientific research.
引用
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页数:12
相关论文
共 47 条
[21]   Application of label-free techniques in microfluidic for biomolecules detection and circulating tumor cells analysis [J].
Leung, Chung-Hang ;
Wu, Ke-Jia ;
Li, Guodong ;
Wu, Chun ;
Ko, Chung-Nga ;
Ma, Dik-Lung .
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2019, 117 :78-83
[22]   Prognostic value of circulating tumor cells detected with the CellSearch system in esophageal cancer patients: a systematic review and meta-analysis [J].
Li, Yiding ;
Wu, Guiling ;
Yang, Wanli ;
Wang, Xiaoqian ;
Duan, Lili ;
Niu, Liaoran ;
Zhang, Yujie ;
Liu, Jinqiang ;
Hong, Liu ;
Fan, Daiming .
BMC CANCER, 2020, 20 (01)
[23]   Label-free single-cell analysis in microdroplets using a light-scattering-based optofluidic chip [J].
Liang, Li ;
Liang, Minhui ;
Zuo, Zewen ;
Ai, Ye .
BIOSENSORS & BIOELECTRONICS, 2024, 253
[24]   Machine learning empowered multi-stress level electromechanical phenotyping for high-dimensional single cell analysis [J].
Liang, Minhui ;
Tang, Qiang ;
Zhong, Jianwei ;
Ai, Ye .
BIOSENSORS & BIOELECTRONICS, 2023, 225
[25]   Liquid biopsy: one cell at a time [J].
Lim, Su Bin ;
Lee, Wen Di ;
Vasudevan, Jyothsna ;
Lim, Wan-Teck ;
Lim, Chwee Teck .
NPJ PRECISION ONCOLOGY, 2019, 3 (1)
[26]   Affinity Versus Label-Free Isolation of Circulating Tumor Cells: Who Wins? [J].
Murlidhar, Vasudha ;
Rivera-Baez, Lianette ;
Nagrath, Sunitha .
SMALL, 2016, 12 (33) :4450-4463
[27]   Proficiency Testing to Assess Technical Performance for CTC-Processing and Detection Methods in CANCER-ID [J].
Neves, Rui P. L. ;
Ammerlaan, Wim ;
Andree, Kiki C. ;
Bender, Sebastian ;
Cayrefourcq, Laure ;
Driemel, Christiane ;
Koch, Claudia ;
Luetke-Eversloh, Merlin Verena ;
Oulhen, Marianne ;
Rossi, Elisabetta ;
Alix-Panabieres, Catherine ;
Betsou, Fay ;
Farace, Francoise ;
Riethdorf, Sabine ;
Schlange, Thomas ;
Wikman, Harriet ;
Zamarchi, Rita ;
Pantel, Klaus ;
Terstappen, Leon W. M. M. ;
Stoecklein, Nikolas H. .
CLINICAL CHEMISTRY, 2021, 67 (04) :631-641
[28]   Controllable Size-Independent Three-Dimensional Inertial Focusing in High-Aspect-Ratio Asymmetric Serpentine Microchannels [J].
Ni, Chen ;
Zhou, Zheng ;
Zhu, Zhixian ;
Jiang, Di ;
Xiang, Nan .
ANALYTICAL CHEMISTRY, 2022, 94 (45) :15639-15647
[29]   Intelligent Image-Activated Cell Sorting [J].
Nitta, Nao ;
Sugimura, Takeaki ;
Isozaki, Akihiro ;
Mikami, Hideharu ;
Hiraki, Kei ;
Sakuma, Shinya ;
Iino, Takanori ;
Arai, Fumihito ;
Endo, Taichiro ;
Fujiwaki, Yasuhiro ;
Fukuzawa, Hideya ;
Hase, Misa ;
Hayakawa, Takeshi ;
Hiramatsu, Kotaro ;
Hoshino, Yu ;
Inaba, Mary ;
Ito, Takuro ;
Karakawa, Hiroshi ;
Kasai, Yusuke ;
Koizumi, Kenichi ;
Lee, SangWook ;
Lei, Cheng ;
Li, Ming ;
Maeno, Takanori ;
Matsusaka, Satoshi ;
Murakami, Daichi ;
Nakagawa, Atsuhiro ;
Oguchi, Yusuke ;
Oikawa, Minoru ;
Ota, Tadataka ;
Shiba, Kiyotaka ;
Shintaku, Hirofumi ;
Shirasaki, Yoshitaka ;
Suga, Kanako ;
Suzuki, Yuta ;
Suzuki, Nobutake ;
Tanaka, Yo ;
Tezuka, Hiroshi ;
Toyokawa, Chihana ;
Yalikun, Yaxiaer ;
Yamada, Makoto ;
Yamagishi, Mai ;
Yamano, Takashi ;
Yasumoto, Atsushi ;
Yatomi, Yutaka ;
Yazawa, Masayuki ;
Di Carlo, Dino ;
Hosokawa, Yoichiroh ;
Uemura, Sotaro ;
Ozeki, Yasuyuki .
CELL, 2018, 175 (01) :266-+
[30]   Video-based AI for beat-to-beat assessment of cardiac function [J].
Ouyang, David ;
He, Bryan ;
Ghorbani, Amirata ;
Yuan, Neal ;
Ebinger, Joseph ;
Langlotz, Curtis P. ;
Heidenreich, Paul A. ;
Harrington, Robert A. ;
Liang, David H. ;
Ashley, Euan A. ;
Zou, James Y. .
NATURE, 2020, 580 (7802) :252-+