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https://doi.org/10.1038/srep22076
Title: | Microfluidic enrichment for the single cell analysis of circulating tumor cells | Authors: | Yeo, Trifanny Tan, Swee Jin Lim, Chew Leng Lau, Dawn Ping Xi Chua, Yong Wei Krisna, Sai Sakktee Iyer, Gopal Tan, Gek San Lim, Tony Kiat Hon Tan, Daniel SW Lim, Wan-Teck Lim, Chwee Teck |
Keywords: | Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics METASTATIC BREAST-CANCER LUNG-CANCER BLOOD-SAMPLES HETEROGENEITY TECHNOLOGY GENOME AMPLIFICATION MUTATIONS EVOLUTION APOPTOSIS |
Issue Date: | 29-Feb-2016 | Publisher: | NATURE PUBLISHING GROUP | Citation: | Yeo, Trifanny, Tan, Swee Jin, Lim, Chew Leng, Lau, Dawn Ping Xi, Chua, Yong Wei, Krisna, Sai Sakktee, Iyer, Gopal, Tan, Gek San, Lim, Tony Kiat Hon, Tan, Daniel SW, Lim, Wan-Teck, Lim, Chwee Teck (2016-02-29). Microfluidic enrichment for the single cell analysis of circulating tumor cells. SCIENTIFIC REPORTS 6 (1). ScholarBank@NUS Repository. https://doi.org/10.1038/srep22076 | Abstract: | Resistance to drug therapy is a major concern in cancer treatment. To probe clones resistant to chemotherapy, the current approach is to conduct pooled cell analysis. However, this can yield false negative outcomes, especially when we are analyzing a rare number of circulating tumor cells (CTCs) among an abundance of other cell types. Here, we develop a microfluidic device that is able to perform high throughput, selective picking and isolation of single CTC to 100% purity from a larger population of other cells. This microfluidic device can effectively separate the very rare CTCs from blood samples from as few as 1 in 20,000 white blood cells. We first demonstrate isolation of pure tumor cells from a mixed population and track variations of acquired T790M mutations before and after drug treatment using a model PC9 cell line. With clinical CTC samples, we then show that the isolated single CTCs are representative of dominant EGFR mutations such as T790M and L858R found in the primary tumor. With this single cell recovery device, we can potentially implement personalized treatment not only through detecting genetic aberrations at the single cell level, but also through tracking such changes during an anticancer therapy. | Source Title: | SCIENTIFIC REPORTS | URI: | https://scholarbank.nus.edu.sg/handle/10635/218718 | ISSN: | 20452322 | DOI: | 10.1038/srep22076 |
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