Nanozyme-Based Pump-free Microfluidic Chip for Colorectal Cancer Diagnosis via Circulating Cancer Stem Cell Detection

Circulating cancer stem cells (CCSCs) are subpopulations of cancer cells with high tumorigenicity, chemoresistance, and metastatic potential, which are also major drivers of disease progression. Herein, to achieve the prediction of tumor diagnosis and progression in colorectal cancer (CRC), a new, automated, and portable lateral displacement patterned pump-free (LP) microfluidic chip (LP-chip) with the CoPt<sub>3</sub> nanozyme was established for CCSC capture and detection in peripheral blood and feces samples ex vivo. In this design, CoPt<sub>3</sub>@HA probes with functions of magnetic separation and colorimetric signal transduction by peroxidase-mimicking activity were applied for the capture of CCSCs and signal output in clinical samples. The generated colors of polydopamine (PDA) were quantifiable through the smartphone APP and visualizable by the naked eye in the test line (T line) and control line (C line) of the LP-chip. In the optimal experimental conditions, the CCSC concentration was sensitive to change in the range 0-10<sup>5</sup> cells mL<sup>-1</sup>, with a detection limit of 3 cells mL<sup>-1</sup> (S/N = 3). Preliminary studies of clinical samples suggest that the platform has the potential for prediction of colorectal cancer progression and poor prognosis. Overall, the LP-chip provides potential strategies for timely diagnosis, therapeutic monitoring, and recurrence prediction to improve home-based patient care.

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Publication Details

Journal
ACS Sensors
Published
2024-10-07
DOI
https://doi.org/10.1021/acssensors.4c00774
Citations
18
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
3.32

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article

Nanozyme-Based Pump-free Microfluidic Chip for Colorectal Cancer Diagnosis via Circulating Cancer Stem Cell Detection

Caolong Li, Xinhe Chen, Xiaoya Liu, Fengmeng Teng et al.
18 citations
ACS Sensors
3D Printing in Biomedical Research
3.32
article

Nanozyme-Based Pump-free Microfluidic Chip for Colorectal Cancer Diagnosis via Circulating Cancer Stem Cell Detection

Caolong Li, Xinhe Chen, Xiaoya Liu, Fengmeng Teng, Yiwei Fang, Jiaxin Liu
article en
18 citations

Abstract

Circulating cancer stem cells (CCSCs) are subpopulations of cancer cells with high tumorigenicity, chemoresistance, and metastatic potential, which are also major drivers of disease progression. Herein, to achieve the prediction of tumor diagnosis and progression in colorectal cancer (CRC), a new, automated, and portable lateral displacement patterned pump-free (LP) microfluidic chip (LP-chip) with the CoPt<sub>3</sub> nanozyme was established for CCSC capture and detection in peripheral blood and feces samples ex vivo. In this design, CoPt<sub>3</sub>@HA probes with functions of magnetic separation and colorimetric signal transduction by peroxidase-mimicking activity were applied for the capture of CCSCs and signal output in clinical samples. The generated colors of polydopamine (PDA) were quantifiable through the smartphone APP and visualizable by the naked eye in the test line (T line) and control line (C line) of the LP-chip. In the optimal experimental conditions, the CCSC concentration was sensitive to change in the range 0-10<sup>5</sup> cells mL<sup>-1</sup>, with a detection limit of 3 cells mL<sup>-1</sup> (S/N = 3). Preliminary studies of clinical samples suggest that the platform has the potential for prediction of colorectal cancer progression and poor prognosis. Overall, the LP-chip provides potential strategies for timely diagnosis, therapeutic monitoring, and recurrence prediction to improve home-based patient care.

ACS SensorsVol. 9(10)
Nanjing University of Chinese Medicine (CN), China Pharmaceutical University (CN)
China Postdoctoral Science Foundation, Natural Science Foundation of Jiangsu Province, Science and Technology Department of Tibet, Fundamental Research Funds for the Central Universities
Good health and well-being
Openalex Percentile: Top 7%
3D Printing in Biomedical Research
3.32
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