Highly sensitive enumeration of circulating tumor cells in lung cancer patients using a size-based filtration microfluidic chip

Huang, Ting; Jia, Chun Ping; Junyang,; Sun, Wen Jie; Wang, Wen Tao; Zhang, Hong Lian; Cong, Hui; Jing, Feng; Mao, Hong Ju; Jin, Qing; Zhang, Zhen; Chen, Yingjie; Li, Gang; Mao, Guo Xin; Zhao, Jian

doi:10.1016/j.bios.2013.07.044

Cited by 89 publications

(47 citation statements)

References 29 publications

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“…Because the dissemination of tumor mostly occurs through the blood, circulating tumor cells (CTCs) that have been shed into the vasculature and may be on their way to potential metastatic sites are of obvious interest [54]. CTCs have been shown to be effective biomarkers in [60] and (d) size filtration [61]. (e), (f) Label-free microfluidics isolating CTCs by acoustic waves [62] and optically-induced electrophoretic (ODEP) force [63].…”

Section: Automated Cell Isolation and Deliverymentioning

confidence: 99%

“…The lysed blood was pumped through the spiral chip using a syringe pump. CTCs were focused near the inner wall due to the combination of the inertial lift force and the Dean drag force at the outlet, while white blood cells and platelets are [60], [61] External excitation force Label-free, fidelity of cell Low throughput, high cost [62], [63] trapped inside the core of the Dean vortex formed closer to the outer wall. CTCs have a diameter that is three to four times as large as the bores of capillaries in distant organs, so they would be expected to become trapped there [54].…”

Section: Automated Cell Isolation and Deliverymentioning

confidence: 99%

“…Because the methods in [60], [61] do not rely on cell surface expression markers, the captured CTCs can be readily collected for further downstream analyses (e.g., detection). However, the specificity of size filtration is relatively low due to the possible overlap in cell sizes between CTCs and blood cells, making it not applicable to all sample types [59].…”

Section: (D)mentioning

confidence: 99%

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Applications of Micro/Nano Automation Technology in Detecting Cancer Cells for Personalized Medicine

Liu

et al. 2017

IEEE Trans. Nanotechnology

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Abstract-The coming era of personalized cancer treatment is presenting automation with unprecedented opportunities. Currently, the drug susceptibility test of clinical cancer patients is mainly dependent on manual labor with a low level of automation. Automating the process of primary cancer cell detection will potentially have tremendous economic benefits and social significance. Automated cancer cell detection means developing robotic and automation equipments to handle single cells and molecules at the micro/nanometer-scale. The achievements of information science, engineering technology, life sciences, and nanotechnology in the past decades have led to the birth of robots that can perform effective manipulations on single living cells at the micro/nanometerscale in aqueous conditions, opening the door to automated cancer cell detection. However, there is still a huge gap between current single-cell micro/nano automation technology and clinical requirements for personalized medicine. In this paper, we will review the progress of single-cell micro/nano automation technology in recent years and discuss the facing challenges and future directions in three aspects, including automated cell isolation and delivery, automatically acquiring the physiological features of cells and data analysis.

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Section: Automated Cell Isolation and Deliverymentioning

confidence: 99%

Section: Automated Cell Isolation and Deliverymentioning

confidence: 99%

Section: (D)mentioning

confidence: 99%

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Applications of Micro/Nano Automation Technology in Detecting Cancer Cells for Personalized Medicine

Liu

et al. 2017

IEEE Trans. Nanotechnology

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“…A size-based filtration microfluidic chip used to detect CTCs in lung cancer patients demonstrated a 73.3% sensitivity and 100% specificity, with a threshold for definition of lung cancer by CTC level set at 5.15 cells per mL (34).…”

Section: Diagnosticmentioning

confidence: 99%

Biophysical technologies for understanding circulating tumor cell biology and metastasis

Nieva

2017

Transl. Lung Cancer Res.

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An understanding of cancer evolution in lung cancer with its associated resistance to therapy can only be achieved with repeated sampling and analysis of the cancer. Given the high risks and costs associated with repeat physical biopsy, alternative technologies must be applied. Several modalities exist for analysis and re-analysis of cancer biology. Among them are the CellSearch platform, the CTC chip, and the highdefinition CTC platform. While the former is primarily able to provide prognosticating information in the form of CTC enumeration, the latter two have the advantage of serving as a platform to study tumor biology. Techniques for analysis of single cell genomics, as well as protein expression on a single cell basis provide scientists with the capacity to understand cancer cell populations as a collection of individual cells, rather than as an average of all cells. A multimodal combination of circulating tumor DNAs (ctDNAs), CTCs, proteomics, and CTC-derived xenografts (CDXs) to create computational models useful in diagnosis, prognostication, and predictiveness to treatment is likely the future of tailoring individualized cancer care.

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“…This flow rate was still high enough to process the samples in a relatively short time, approximately 10 min per sample, and could potentially be shortened further using highthroughput isolation with parallel processing. In contrast, other alternative devices for cancer cell isolation require several hours [19,43]. Compared to blood samples, clinical urine samples contain fewer background cells and have lower viscosity which may contribute to easier filtration at a relatively high flow rate.…”

Section: Rapid Bc Cell Isolation and Retrievalmentioning

confidence: 99%

A non-invasive genomic diagnostic method for bladder cancer using size-based filtration and microchip electrophoresis

Deng

Lin

et al. 2015

Talanta

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Highly sensitive enumeration of circulating tumor cells in lung cancer patients using a size-based filtration microfluidic chip

Cited by 89 publications

References 29 publications

Applications of Micro/Nano Automation Technology in Detecting Cancer Cells for Personalized Medicine

Applications of Micro/Nano Automation Technology in Detecting Cancer Cells for Personalized Medicine

Biophysical technologies for understanding circulating tumor cell biology and metastasis

A non-invasive genomic diagnostic method for bladder cancer using size-based filtration and microchip electrophoresis

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