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Li Y, Li Y, Wang X, Wang K, Li H, Wang P, Xue Q, Xu F, Zhang W, Yang X, Chen B. Label-free detection and simultaneous viability determination of CTCs by lens-free imaging cytometry. Anal Bioanal Chem 2025; 417:95-107. [PMID: 39477899 DOI: 10.1007/s00216-024-05624-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Revised: 10/06/2024] [Accepted: 10/21/2024] [Indexed: 01/03/2025]
Abstract
The detection of extremely rare circulating tumor cells (CTCs) in peripheral blood and simultaneously identifying their viabilities are significant for cancer diagnosis and prognosis as well as monitoring the efficacy of personalized treatment. A lens-free imaging system features high-resolution images taken over a large field of view (FOV), which has great potential for CTC detection and viability determination. But current still lens-free systems restrict the application for CTC detection in real samples due to the inherent limitations of lens-free technology: (1) the location of cells in the FOV will affect the imaging; (2) the extremely rare CTCs probably did not exist in one observation. In this paper, we realized the detection of CTCs in whole blood and the simultaneous determination of their viabilities by lens-free imaging cytometry. Our in-flow system plus a large FOV range of lens-free imaging highly increased the detection rate of rare CTCs with a high throughput of 150,000 cells per minute and improved the recognition efficiency for blood cells, living/dead CTCs by using a cell tracing-assisted deep learning algorithm. With this method, the average precision of blood cells, living/dead lung cancer cells A549, and living/dead colon cancer cells SW620 reached 98.80%, 97.88%, 97.93%, 97.72%, and 98.60%, respectively. Our system got a highly consistent result with the manual counting method using fluorescent staining (Pearson's r 99.93% for SW620) and can easily detect as few as 10 dead or living CTCs from 100,000 white blood cells (WBCs). Finally, real clinical samples were detected in our system. Both dead and living CTCs were found in all six advanced-stage cancer patients, and the number of living CTCs per million WBCs ranged from 13 to 39, more than that of the dead CTCs (5 to 25), while none of the CTCs were detected in six healthy control subjects. Moreover, we also found that CTCs died very quickly after leaving the human body, indicating that CTCs should be studied as soon as possible after sampling. Although this method is implemented for CTCs, it can also be used for the detection of other rare cells.
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Affiliation(s)
- Ya Li
- Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450001, China
| | - Yu Li
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, 450001, China
| | - Xu Wang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, 450001, China
| | - Kang Wang
- Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450001, China
| | - Haoliang Li
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, 450001, China
| | - Pengfei Wang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, 450001, China
| | - Qi Xue
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, 450001, China
| | - Feng Xu
- Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450001, China
| | - Wenchang Zhang
- Key Lab of Microelectronic Devices & Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, 100029, China.
| | - Xiaonan Yang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, 450001, China.
| | - Bing Chen
- Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450001, China.
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David P, Mittelstädt A, Kouhestani D, Anthuber A, Kahlert C, Sohn K, Weber GF. Current Applications of Liquid Biopsy in Gastrointestinal Cancer Disease-From Early Cancer Detection to Individualized Cancer Treatment. Cancers (Basel) 2023; 15:cancers15071924. [PMID: 37046585 PMCID: PMC10093361 DOI: 10.3390/cancers15071924] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/20/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
Worldwide, gastrointestinal (GI) cancers account for a significant amount of cancer-related mortality. Tests that allow an early diagnosis could lead to an improvement in patient survival. Liquid biopsies (LBs) due to their non-invasive nature as well as low risk are the current focus of cancer research and could be a promising tool for early cancer detection. LB involves the sampling of any biological fluid (e.g., blood, urine, saliva) to enrich and analyze the tumor's biological material. LBs can detect tumor-associated components such as circulating tumor DNA (ctDNA), extracellular vesicles (EVs), and circulating tumor cells (CTCs). These components can reflect the status of the disease and can facilitate clinical decisions. LBs offer a unique and new way to assess cancers at all stages of treatment, from cancer screenings to prognosis to management of multidisciplinary therapies. In this review, we will provide insights into the current status of the various types of LBs enabling early detection and monitoring of GI cancers and their use in in vitro diagnostics.
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Affiliation(s)
- Paul David
- Department of Surgery, University Hospital of Erlangen, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Anke Mittelstädt
- Department of Surgery, University Hospital of Erlangen, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Dina Kouhestani
- Department of Surgery, University Hospital of Erlangen, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Anna Anthuber
- Department of Surgery, University Hospital of Erlangen, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Christoph Kahlert
- Department of Surgery, Carl Gustav Carus University Hospital, 01307 Dresden, Germany
| | - Kai Sohn
- Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB, 70569 Stuttgart, Germany
| | - Georg F Weber
- Department of Surgery, University Hospital of Erlangen, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany
- Deutsches Zentrum für Immuntherapie, University Hospital of Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, 91054 Erlangen, Germany
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