Title |
A novel vaccine for mantle cell lymphoma based on targeting cyclin D1 to dendritic cells via CD40
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Published in |
Journal of Hematology & Oncology, April 2015
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DOI | 10.1186/s13045-015-0131-7 |
Pubmed ID | |
Authors |
Jingtao Chen, Gerard Zurawski, Sandy Zurawski, Zhiqing Wang, Keiko Akagawa, Sangkon Oh, Ueno Hideki, Joseph Fay, Jacques Banchereau, Wenru Song, A Karolina Palucka |
Abstract |
Mantle cell lymphoma (MCL) is a distinct clinical pathologic subtype of B cell non-Hodgkin's lymphoma often associated with poor prognosis. New therapeutic approaches based on boosting anti-tumor immunity are needed. MCL is associated with overexpression of cyclin D1 thus rendering this molecule an interesting target for immunotherapy. We show here a novel strategy for the development of recombinant vaccines carrying cyclin D1 cancer antigens that can be targeted to dendritic cells (DCs) via CD40. Healthy individuals and MCL patients have a broad repertoire of cyclin D1-specific CD4(+) and CD8(+) T cells. Cyclin D1-specific T cells secrete IFN-γ. DCs loaded with whole tumor cells or with selected peptides can elicit cyclin D1-specific CD8(+) T cells that kill MCL tumor cells. We developed a recombinant vaccine based on targeting cyclin D1 antigen to human DCs via an anti-CD40 mAb. Targeting monocyte-derived human DCs in vitro with anti-CD40-cyclin D1 fusion protein expanded a broad repertoire of cyclin D1-specific CD4(+) and CD8(+) T cells. This study demonstrated that cyclin D1 represents a good target for immunotherapy and targeting cyclin D1 to DCs provides a new strategy for mantle cell lymphoma vaccine. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 4% |
Unknown | 27 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 21% |
Professor | 5 | 18% |
Student > Bachelor | 3 | 11% |
Researcher | 3 | 11% |
Student > Master | 3 | 11% |
Other | 4 | 14% |
Unknown | 4 | 14% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 11 | 39% |
Immunology and Microbiology | 4 | 14% |
Agricultural and Biological Sciences | 3 | 11% |
Psychology | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 2 | 7% |
Unknown | 6 | 21% |