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Optical Detection and Virotherapy of Live Metastatic Tumor Cells in Body Fluids with Vaccinia Strains

Overview of attention for article published in PLOS ONE, September 2013
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Title
Optical Detection and Virotherapy of Live Metastatic Tumor Cells in Body Fluids with Vaccinia Strains
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0071105
Pubmed ID
Authors

Huiqiang Wang, Nanhai G. Chen, Boris R. Minev, Martina Zimmermann, Richard J. Aguilar, Qian Zhang, Julia B. Sturm, Falko Fend, Yong A. Yu, Joseph Cappello, Ulrich M. Lauer, Aladar A. Szalay

Abstract

Metastatic tumor cells in body fluids are important targets for treatment, and critical surrogate markers for evaluating cancer prognosis and therapeutic response. Here we report, for the first time, that live metastatic tumor cells in blood samples from mice bearing human tumor xenografts and in blood and cerebrospinal fluid samples from patients with cancer were successfully detected using a tumor cell-specific recombinant vaccinia virus (VACV). In contrast to the FDA-approved CellSearch system, VACV detects circulating tumor cells (CTCs) in a cancer biomarker-independent manner, thus, free of any bias related to the use of antibodies, and can be potentially a universal system for detection of live CTCs of any tumor type, not limited to CTCs of epithelial origin. Furthermore, we demonstrate for the first time that VACV was effective in preventing and reducing circulating tumor cells in mice bearing human tumor xenografts. Importantly, a single intra-peritoneal delivery of VACV resulted in a dramatic decline in the number of tumor cells in the ascitic fluid from a patient with gastric cancer. Taken together, these results suggest VACV to be a useful tool for quantitative detection of live tumor cells in liquid biopsies as well as a potentially effective treatment for reducing or eliminating live tumor cells in body fluids of patients with metastatic disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 35%
Student > Ph. D. Student 10 29%
Student > Master 2 6%
Student > Bachelor 1 3%
Professor 1 3%
Other 4 12%
Unknown 4 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 18%
Agricultural and Biological Sciences 6 18%
Medicine and Dentistry 6 18%
Computer Science 3 9%
Engineering 2 6%
Other 4 12%
Unknown 7 21%