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Proceedings Paper

Studying liver cancer metastasis by in vivo imaging and flow cytometer
Author(s): Chen Wang; Xunbin Wei
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Paper Abstract

Primary liver cancer (hepatocellular carcinoma, or HCC) is associated with liver cirrhosis 60-80% of the time. Liver cancer is one of the most common malignancies in the world, with approximately 1,000,000 cases reported every year. About 80% of people with primary liver cancer are male. Although two-thirds of people have advanced liver disease when they seek medical help, one third of the patients have cancer that has not progressed beyond the liver. HCC may metastasize to the lung, bones, kidney, and many other organs. Surgical resection, liver transplantation, chemotherapy and radiation therapy are the foundation of current HCC therapies. However the outcomes are poor: the survival rate is almost zero for metastatic HCC patients. Molecular mechanisms of HCC metastasis need to be understood better and new therapies must be developed to selectively target to unique characteristics of HCC cell growth and metastasis. We have developed the "in vivo microscopy" to study the mechanisms that govern liver tumor cell spread through the microenvironment in vivo with real-time confocal near-infrared fluorescence imaging. A recently developed "in vivo flow cytometer" and optical imaging are used to assess liver tumor cell spreading and the circulation kinetics of liver tumor cells. A real- time quantitative monitoring of circulating liver tumor cells by the in vivo flow cytometer will be useful to assess the effectiveness of the potential therapeutic interventions.

Paper Details

Date Published: 25 November 2009
PDF: 6 pages
Proc. SPIE 7634, Optical Sensors and Biophotonics, 76340H (25 November 2009); doi: 10.1117/12.851973
Show Author Affiliations
Chen Wang, Univ. of Shanghai for Science and Technology (China)
Xunbin Wei, Fudan Univ. (China)

Published in SPIE Proceedings Vol. 7634:
Optical Sensors and Biophotonics
Xingde Li; Qingming Luo; Vasilis Ntziachristos; Yoshiaki Yasuno, Editor(s)

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