Title |
Detection and Specific Elimination of EGFR+ Ovarian Cancer Cells Using a Near Infrared Photoimmunotheranostic Approach
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Published in |
Pharmaceutical Research, January 2017
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DOI | 10.1007/s11095-017-2096-4 |
Pubmed ID | |
Authors |
Dirk Bauerschlag, Ivo Meinhold-Heerlein, Nicolai Maass, Andreas Bleilevens, Karen Bräutigam, Wa’el Al Rawashdeh, Stefano Di Fiore, Anke Maria Haugg, Felix Gremse, Julia Steitz, Rainer Fischer, Elmar Stickeler, Stefan Barth, Ahmad Fawzi Hussain |
Abstract |
Targeted theranostics is an alternative strategy in cancer management that aims to improve cancer detection and treatment simultaneously. This approach combines potent therapeutic and diagnostic agents with the specificity of different cell receptor ligands in one product. The success of antibody drug conjugates (ADCs) in clinical practice has encouraged the development of antibody theranostics conjugates (ATCs). However, the generation of homogeneous and pharmaceutically-acceptable ATCs remains a major challenge. The aim of this study is to detect and eliminate ovarian cancer cells on-demand using an ATC directed to EGFR. An ATC with a defined drug-to-antibody ratio was generated by the site-directed conjugation of IRDye®700 to a self-labeling protein (SNAP-tag) fused to an EGFR-specific antibody fragment (scFv-425). In vitro and ex vivo imaging showed that the ATC based on scFv-425 is suitable for the highly specific detection of EGFR(+) ovarian cancer cell, human tissues and ascites samples. The construct was also able to eliminate EGFR(+) cells and human ascites cells with IC50 values of 45-66 nM and 40-90 nM, respectively. Our experiments provide a framework to create a versatile technology platform for the development of ATCs for precise detection and treatment of ovarian cancer cells. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Unspecified | 5 | 13% |
Researcher | 5 | 13% |
Other | 4 | 10% |
Student > Master | 4 | 10% |
Student > Ph. D. Student | 4 | 10% |
Other | 8 | 20% |
Unknown | 10 | 25% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 8 | 20% |
Unspecified | 5 | 13% |
Chemistry | 4 | 10% |
Medicine and Dentistry | 3 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
Other | 4 | 10% |
Unknown | 14 | 35% |