Literature DB >> 21948732

Circulation times of prostate cancer and hepatocellular carcinoma cells by in vivo flow cytometry.

Yan Li1, Jin Guo, Chaofeng Wang, Zhichao Fan, Guangda Liu, Cheng Wang, Zhengqin Gu, David Damm, Axel Mosig, Xunbin Wei.   

Abstract

In metastasis, the cancer cells that travel through the body are capable of establishing new tumors in locations remote from the site of the original disease. To metastasize, a cancer cell must break away from its tumor and invade either the circulatory or lymphatic system, which will carry it to a new location, and establish itself in the new site. Once in the blood stream, the cancer cells now have access to every portion of the body. Here, we have used the "in vivo flow cytometer" to study if there is any relationship between metastatic potential and depletion kinetics of circulating tumor cells. The in vivo flow cytometer has the capability to detect and quantify continuously the number and flow characteristics of fluorescently labelled cells in vivo. We have improved the counting algorithm and measured the depletion kinetics of cancer cells with different metastatic potential. Interestingly, more invasive PC-3 prostate cancer cells are depleted faster from the circulation than LNCaP cells. In addition, we have measured the depletion kinetics of two related human hepatocellular carcinoma (liver cancer) cell lines, high-metastatic HCCLM3 cells, and low-metastatic HepG2 cells. More than 60% HCCLM3 cells are depleted within the first hour. Interestingly, the low-metastatic HepG2 cells possess noticeably slower depletion kinetics. In comparison, <40% HepG2 cells are depleted within the first hour. The differences in depletion kinetics might provide insights into early metastasis processes.
Copyright © 2011 International Society for Advancement of Cytometry.

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Year:  2011        PMID: 21948732     DOI: 10.1002/cyto.a.21134

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  13 in total

1.  Signal and depth enhancement for in vivo flow cytometer measurement of ear skin by optical clearing agents.

Authors:  Yimin Ding; Jing Wang; Zhichao Fan; Dan Wei; Rui Shi; Qingming Luo; Dan Zhu; Xunbin Wei
Journal:  Biomed Opt Express       Date:  2013-10-17       Impact factor: 3.732

2.  Performance of computer vision in vivo flow cytometry with low fluorescence contrast.

Authors:  Stacey Markovic; Siyuan Li; Mark Niedre
Journal:  J Biomed Opt       Date:  2015-03       Impact factor: 3.170

3.  In vivo flow cytometry combined with intravital microscopy to monitor kinetics of transplanted bone marrow mononuclear cells in peripheral blood and bone marrow.

Authors:  Fen Wang; Dan Wei; Yuanzhen Suo; Xi Zhu; Yan Yuan; Wenyuan Gao; Hua Jiang; Xunbin Wei; Tong Chen
Journal:  Mol Biol Rep       Date:  2019-12-07       Impact factor: 2.316

Review 4.  In vivo flow cytometry: a horizon of opportunities.

Authors:  Valery V Tuchin; Attila Tárnok; Vladimir P Zharov
Journal:  Cytometry A       Date:  2011-09-13       Impact factor: 4.355

5.  Bioinspired magnetic nanoparticles as multimodal photoacoustic, photothermal and photomechanical contrast agents.

Authors:  Zeid A Nima; Fumiya Watanabe; Azemat Jamshidi-Parsian; Mustafa Sarimollaoglu; Dmitry A Nedosekin; Mikyung Han; J Alex Watts; Alexandru S Biris; Vladimir P Zharov; Ekaterina I Galanzha
Journal:  Sci Rep       Date:  2019-01-29       Impact factor: 4.379

6.  MicroRNA-9 enhances migration and invasion through KLF17 in hepatocellular carcinoma.

Authors:  Zhao Sun; Qin Han; Na Zhou; Shihua Wang; Shan Lu; Chunmei Bai; Robert Chunhua Zhao
Journal:  Mol Oncol       Date:  2013-04-25       Impact factor: 6.603

7.  Fluorescence detection, enumeration and characterization of single circulating cells in vivo: technology, applications and future prospects.

Authors:  Carolin Hartmann; Roshani Patil; Charles P Lin; Mark Niedre
Journal:  Phys Med Biol       Date:  2017-12-14       Impact factor: 3.609

8.  Heterogeneity of circulating tumor cell dissemination and lung metastases in a subcutaneous Lewis lung carcinoma model.

Authors:  Jessica E Fitzgerald; Brook K Byrd; Roshani A Patil; Rendall R Strawbridge; Scott C Davis; Chiara Bellini; Mark Niedre
Journal:  Biomed Opt Express       Date:  2020-06-08       Impact factor: 3.732

9.  Circulating tumor cells measurements in hepatocellular carcinoma.

Authors:  Franck Chiappini
Journal:  Int J Hepatol       Date:  2012-05-28

10.  Detection of Apoptotic Circulating Tumor Cells Using in vivo Fluorescence Flow Cytometry.

Authors:  Jacqueline Nolan; Dmitry A Nedosekin; Ekaterina I Galanzha; Vladimir P Zharov
Journal:  Cytometry A       Date:  2018-12-03       Impact factor: 4.714

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