Worm-Based Microfluidic Biosensor for Real-Time Assessment of the Metastatic Status
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Metastasis is a complex process that affects patient treatment and survival. To routinely monitor cancer plasticity and guide treatment strategies, it is highly desired to provide information about metastatic status in real-time. Here, we proposed a worm-based (WB) microfluidic biosensor to rapidly monitor biochemical cues related to metastasis in a well-defined environment. Compared to conventional biomarker-based methods, the WB biosensor allowed high throughput screening under low cost, requiring only visual quantification of outputs; Methods: were placed in the WB biosensor and exposed to samples conditioned with cancer cell clusters. The chemotactic preference of these worms was observed under discontinuous imaging to minimize the impact on physiological activity; Results: A chemotaxis index (CI) was defined to standardize the quantitative assessment from the WB biosensor, where moderate (3.24-6.5) and high (>6.5) CI levels reflected increased metastasis risk and presence of metastasis, respectively. We demonstrated that the secreted metabolite glutamate was a chemorepellent, and larger clusters associated with increased metastatic potential also enhanced CI levels; Conclusions: Overall, this study provided a proof of concept for the WB biosensors in assessing metastasis status, with the potential to evaluate patient-derived cancer clusters for routine management.
Emerging Molecular Technology in Cancer Testing.
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Scalable Electrophysiology of Millimeter-Scale Animals with Electrode Devices.
Dong K, Liu W, Su Y, Lyu Y, Huang H, Zheng N BME Front. 2024; 4:0034.
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Wang S, Chan S, Deng Y, Khoo B, Chua S J Adv Res. 2023; 55:33-44.
PMID: 36822389 PMC: 10770098. DOI: 10.1016/j.jare.2023.02.011.