Oncotarget

Research Papers:

A novel far-red fluorescent xenograft model of ovarian carcinoma for preclinical evaluation of HER2-targeted immunotoxins

Tatiana Zdobnova, Evgeniya Sokolova, Oleg Stremovskiy, Dmitry Karpenko, William Telford, Ilya Turchin, Irina Balalaeva and Sergey Deyev _

PDF  |  HTML  |  Supplementary Files  |  How to cite

Oncotarget. 2015; 6:30919-30928. https://doi.org/10.18632/oncotarget.5130

Metrics: PDF 1621 views  |   HTML 2357 views  |   ?  


Abstract

Tatiana Zdobnova1, Evgeniya Sokolova1, Oleg Stremovskiy2, Dmitry Karpenko2, William Telford3, Ilya Turchin4, Irina Balalaeva1, Sergey Deyev1,2

1Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod 603950, Russia

2Institute of Bioorganic Chemistry of The Russian Academy of Sciences, Moscow 117997, Russia

3National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA

4Institute of Applied Physics of The Russian Academy of Sciences, Nizhny Novgorod, 603950 Russia

Correspondence to:

Sergey Deyev, e-mail: [email protected]

Keywords: xenograft tumor model, far-red fluorescent protein, ovarian carcinoma, HER2, immunotoxin

Received: April 15, 2015     Accepted: August 24, 2015     Published: September 05, 2015

ABSTRACT

We have created a novel fluorescent model of a human ovarian carcinoma xenograft overexpressing receptor HER2, a promising molecular target of solid tumors. The model is based on a newly generated SKOV-kat cell line stably expressing far-red fluorescent protein Katushka. Katushka is most suitable for the in vivo imaging due to an optimal combination of high brightness and emission in the “window of tissue transparency”. The relevance of the fluorescent model for the in vivo monitoring of tumor growth and response to treatment was demonstrated using a newly created HER2-targeted recombinant immunotoxin based on the 4D5scFv antibody and a fragment of the Pseudomonas exotoxin A.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 5130