Chapter title |
Generation of BiKEs and TriKEs to Improve NK Cell-Mediated Targeting of Tumor Cells.
|
---|---|
Chapter number | 28 |
Book title |
Natural Killer Cells
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3684-7_28 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3682-3, 978-1-4939-3684-7
|
Authors |
Martin Felices, Todd R. Lenvik, Zachary B. Davis, Jeffrey S. Miller, Daniel A. Vallera, Felices, Martin, Lenvik, Todd R., Davis, Zachary B., Miller, Jeffrey S., Vallera, Daniel A. |
Editors |
Srinivas S. Somanchi |
Abstract |
Cancer immunotherapies have gained significant momentum over the past decade, particularly with the advent of checkpoint inhibitors and CAR T-cells. While the latter personalized targeted immunotherapy has revolutionized the field, a need for off-the-shelf therapies remains. The ability of NK cells to quickly lyse antibody-coated tumors and potently secrete cytokines without prior priming has made NK cells ideal candidates for antigen-specific immunotherapy. NK cells have been targeted to tumors through two main strategies: mono-specific antibodies and bi/tri-specific antibodies. Mono-specific antibodies drive NK cell antibody-dependent cell-mediated cytotoxicity (ADCC) of tumor cells. Bi/tri-specific antibodies drive re-directed lysis of tumor cells through binding of a tumor antigen and direct binding and crosslinking of the CD16 receptor on NK cells, thus bypassing the need for binding of the Fc portion of mono-specific antibodies. This chapter focuses on the generation of bi- and tri-specific killer engagers (BiKEs and TriKEs) meant to target NK cells to tumors. BiKEs and TriKEs are smaller molecules composed of 2-3 variable portions of antibodies with different specificities, and represent a novel and more versatile strategy compared to traditional bi- and tri-specific antibody platforms. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 138 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 25 | 18% |
Student > Ph. D. Student | 20 | 14% |
Researcher | 19 | 14% |
Student > Master | 17 | 12% |
Student > Doctoral Student | 9 | 7% |
Other | 13 | 9% |
Unknown | 35 | 25% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 32 | 23% |
Immunology and Microbiology | 23 | 17% |
Medicine and Dentistry | 15 | 11% |
Agricultural and Biological Sciences | 11 | 8% |
Engineering | 6 | 4% |
Other | 10 | 7% |
Unknown | 41 | 30% |