کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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877378 | 911024 | 2015 | 8 صفحه PDF | دانلود رایگان |
Circulating tumor cells (CTCs) can be used as markers for the detection, characterization, and targeted therapeutic management of cancer. We recently developed a nanoparticle-mediated approach for capture and sorting of CTCs based on their specific epithelial phenotype. In the current study, we investigate the phenotypic transition of tumor cells in an animal model and show the correlation of this transition with tumor progression. VX2 tumor cells were injected into rabbits, and CTCs were evaluated during tumor progression and correlated with computerized tomography (CT) measurements of tumor volume. The results showed a dramatic increase of CTCs during the four weeks of tumor growth. Following resection, CTC levels dropped but then rebounded, likely due to lymph node metastases. Additionally, CTCs showed a marked loss of the epithelial cell adhesion molecule (EpCAM) relative to precursor cells. In conclusion, the device accurately traces disease progression and CTC phenotypic shift in an animal model.From the Clinical EditorThe detection of circulating tumor cells (CTCs) has been used to predict disease prognosis. In this study, the authors developed a nanoparticle-mediated platform based on microfluidics to analyze the differential expressions of epithelial cell adhesion molecule (EpCAM) on CTCs in an animal model. It was found that the loss of EpCAM correlated with disease progression. Hence, the use of this platform may be further applied in other cancer models in the future.
A study is presented that tracks the surface expression phenotype of CTCs during tumor growth in an animal model of cancer. A microfluidic device sorts subpopulations of CTCs into discrete compartments based on EpCAM levels. Loss of EpCAM, and thus epithelial character, is observed in CTCs as tumor growth progresses.Figure optionsDownload high-quality image (103 K)Download as PowerPoint slide
Journal: Nanomedicine: Nanotechnology, Biology and Medicine - Volume 11, Issue 7, October 2015, Pages 1613–1620