Literature DB >> 24327318

Multicolor detection of rare tumor cells in blood using a novel flow cytometry-based system.

Masaru Watanabe1, Yuri Uehara, Namiko Yamashita, Yuu Fujimura, Kaori Nishio, Takeshi Sawada, Kazuo Takeda, Fumiaki Koizumi, Yasuhiro Koh.   

Abstract

The presence and number of circulating tumor cells (CTCs) in the blood of patients with solid tumors are predictive of their clinical outcomes. To date, the CellSearch system is the only US Food and Drug Administration-approved CTC enumeration system for advanced breast, prostate, and colon cancers. However, sensitivity issues due to epithelial cellular adhesion molecule (EpCAM)-based enrichment and limited capability for subsequent molecular analysis must be addressed before CTCs can be used as predictive markers in the clinical setting. We have developed a multicolor CTC detection system using cross-contamination-free flow cytometry, which permits the enumeration and characterization of CTCs for multiple molecular analyses. Tumor cell lines with different expression levels of EpCAM were spiked into peripheral blood obtained from healthy donors. Spike-in samples were negatively enriched using anti-CD45-coated magnetic beads to remove white blood cells, and this was followed by fixation and labeling with CD45-Alexa Fluor 700, EpCAM-phycoerythrin, cytokeratin (CK)-fluorescein isothiocyanate antibodies, and/or 7-aminoactinomycin D for nuclei staining. Excellent detection (slope = 0.760-0.888) and a linear performance (R(2) = 0.994-0.998) were noted between the observed and expected numbers of tumor cells, independent of EpCAM expression. The detection rate was markedly higher than that obtained using the CellSearch system, suggesting the superior sensitivity of our system in detecting EpCAM- tumor cells. Additionally, the incorporation of an epithelial-mesenchymal transition (EMT) marker allowed us to detect EpCAM-/CK- cells and EMT-induced tumor cells. Taken together, our multicolor CTC detection system may be highly efficient in detecting previously unrecognized populations of CTCs.
© 2013 International Society for Advancement of Cytometry.

Entities:  

Keywords:  EpCAM-independent; circulating tumor cells; epithelial-mesenchymal transition; flow cytometry

Mesh:

Substances:

Year:  2013        PMID: 24327318     DOI: 10.1002/cyto.a.22422

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


  17 in total

1.  Erythrocyte volumetric measurements in imaging flow cytometry using simultaneous three-wavelength digital holographic microscopy.

Authors:  Nir A Turko; Natan T Shaked
Journal:  Biomed Opt Express       Date:  2020-10-22       Impact factor: 3.732

2.  Sensitive and easy screening for circulating tumor cells by flow cytometry.

Authors:  Alexia Lopresti; Fabrice Malergue; François Bertucci; Maria Lucia Liberatoscioli; Severine Garnier; Quentin DaCosta; Pascal Finetti; Marine Gilabert; Jean Luc Raoul; Daniel Birnbaum; Claire Acquaviva; Emilie Mamessier
Journal:  JCI Insight       Date:  2019-06-13

3.  Phenotypic diversity of circulating tumour cells in patients with metastatic castration-resistant prostate cancer.

Authors:  Andrew S McDaniel; Roberta Ferraldeschi; Rachel Krupa; Mark Landers; Ryon Graf; Jessica Louw; Adam Jendrisak; Natalee Bales; Dena Marrinucci; Zafeiris Zafeiriou; Penelope Flohr; Spyridon Sideris; Mateus Crespo; Ines Figueiredo; Joaquin Mateo; Johann S de Bono; Ryan Dittamore; Scott A Tomlins; Gerhardt Attard
Journal:  BJU Int       Date:  2016-09-18       Impact factor: 5.588

4.  High-Density Dielectrophoretic Microwell Array for Detection, Capture, and Single-Cell Analysis of Rare Tumor Cells in Peripheral Blood.

Authors:  Atsushi Morimoto; Toshifumi Mogami; Masaru Watanabe; Kazuki Iijima; Yasuyuki Akiyama; Koji Katayama; Toru Futami; Nobuyuki Yamamoto; Takeshi Sawada; Fumiaki Koizumi; Yasuhiro Koh
Journal:  PLoS One       Date:  2015-06-24       Impact factor: 3.240

Review 5.  Biosensors for the detection of circulating tumour cells.

Authors:  Clotilde Costa; Miguel Abal; Rafael López-López; Laura Muinelo-Romay
Journal:  Sensors (Basel)       Date:  2014-03-10       Impact factor: 3.576

6.  Development of an automated size-based filtration system for isolation of circulating tumor cells in lung cancer patients.

Authors:  Satomi Yagi; Yasuhiro Koh; Hiroaki Akamatsu; Kuninobu Kanai; Atsushi Hayata; Nahomi Tokudome; Keiichiro Akamatsu; Katsuya Endo; Seita Nakamura; Masayuki Higuchi; Hisashige Kanbara; Masanori Nakanishi; Hiroki Ueda; Nobuyuki Yamamoto
Journal:  PLoS One       Date:  2017-06-22       Impact factor: 3.240

7.  Detection of live circulating tumor cells by a class of near-infrared heptamethine carbocyanine dyes in patients with localized and metastatic prostate cancer.

Authors:  Chen Shao; Chun-Peng Liao; Peizhen Hu; Chia-Yi Chu; Lei Zhang; Matthew H T Bui; Christopher S Ng; David Y Josephson; Beatrice Knudsen; Mourad Tighiouart; Hyung L Kim; Haiyen E Zhau; Leland W K Chung; Ruoxiang Wang; Edwin M Posadas
Journal:  PLoS One       Date:  2014-02-14       Impact factor: 3.240

8.  A novel flow cytometry-based cell capture platform for the detection, capture and molecular characterization of rare tumor cells in blood.

Authors:  Masaru Watanabe; Masakuni Serizawa; Takeshi Sawada; Kazuo Takeda; Toshiaki Takahashi; Nobuyuki Yamamoto; Fumiaki Koizumi; Yasuhiro Koh
Journal:  J Transl Med       Date:  2014-05-23       Impact factor: 5.531

9.  Sensitive cytometry based system for enumeration, capture and analysis of gene mutations of circulating tumor cells.

Authors:  Takeshi Sawada; Masaru Watanabe; Yuu Fujimura; Shigehiro Yagishita; Tatsu Shimoyama; Yoshiharu Maeda; Shintaro Kanda; Mayu Yunokawa; Kenji Tamura; Tomohide Tamura; Hironobu Minami; Yasuhiro Koh; Fumiaki Koizumi
Journal:  Cancer Sci       Date:  2016-02-23       Impact factor: 6.716

Review 10.  The Significance of Epithelial-to-Mesenchymal Transition for Circulating Tumor Cells.

Authors:  Alexandra C Kölbl; Udo Jeschke; Ulrich Andergassen
Journal:  Int J Mol Sci       Date:  2016-08-11       Impact factor: 5.923

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