14 research outputs found

    CTCs detected in a blood sample from a liver cancer patient.

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    <p>A total of 10 CTCs were detected in this sample; 3 single migratory biophenotypic epithelial/mesenchymal CTCs, 3 single migratory mesenchymal CTCs and a tumor microembolus containing 4 mesenchymal CTCs were observed (epithelial biomarkers are indicated by red fluorescence; mesenchymal biomarkers are indicated by green fluorescence).</p

    EpCAM, CK8/18/19, vimentin and twist expression in HepG2 tumor cells and leukocytes.

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    <p><b>A</b>: negative control, leukocytes stained for CD45 expression (bright blue fluorescence); <b>B</b>: HepG2 cells stained for EpCAM expression (red fluorescence); <b>C</b>: HepG2 cells stained for CK8 expression(red fluorescence); <b>D</b>: HepG2 cells stained for CK18 expression(red fluorescence); <b>E</b>: HepG2 cells stained for CK19 expression(red fluorescence); <b>F</b>: HepG2 cells stained for vimentin expression (green fluorescence); <b>G:</b> HepG2 cells stained for twist expression(green fluorescence); <b>H:</b> HepG2 cells stained for EpCAM, CK8/18/19, vimentin and twist expression (red/green fluorescence). The cells were analyzed using a 100x oil objective</p

    Additional file 5: of Metabolic reprogramming-based characterization of circulating tumor cells in prostate cancer

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    Figure S1. Migration and invasion assays of the five PCa cell lines. (A–B) Representative images and statistical comparison between PC-3 M 2B4 and PC-3 M 1E8 cells in wound healing (A, 100×) and Transwell (B, 200×) assays. (C–D) Representative images and statistical comparison among LNCAP, PC-3, and DU145 cells by wound healing (C, 100×) and Transwell (D, 200×) assays. ***P < 0.001; Scale bar = 150 μm. (TIF 19013 kb

    Additional file 8: of Metabolic reprogramming-based characterization of circulating tumor cells in prostate cancer

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    Figure S3. The pairwise comparison matrix used in the AHP model. The weighting coefficients of the criteria layer were calculated on the basis of the maximum eigenvalue using the sum-product method. (TIF 481 kb
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