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Mendeley readers
| Title |
NKT cell-targeted vaccination plus anti-4–1BB antibody generates persistent CD8 T cell immunity against B cell lymphoma
|
|---|---|
| Published in |
OncoImmunology, January 2015
|
| DOI | 10.4161/2162402x.2014.990793 |
| Pubmed ID | |
| Authors |
Takumi Kobayashi, Brianna L Doff, Rory C Rearden, Graham R Leggatt, Stephen R Mattarollo |
| Abstract |
Harnessing the immune adjuvant properties of natural killer T (NKT) cells is an effective strategy to generate anticancer immunity. The objective of this study was to increase the potency and durability of vaccine-induced immunity against B cell lymphoma by combining α-galactosylceramide (α-GalCer)-loaded tumor cell vaccination with an agonistic antibody targeting the immune checkpoint molecule 4-1BB (CD137). We observed potent synergy when combining vaccination and anti-4-1BB antibody treatment resulting in significantly enhanced survival of mice harboring Eμ-myc tumors, including complete eradication of lymphoma in over 50% of mice. Tumor-free survival required interferon γ (IFNγ)-dependent expansion of CD8(+) T cells and was associated with 4-1BB-mediated differentiation of KLRG1(+) effector CD8(+) T cells. 'Cured' mice were also resistant to lymphoma re-challenge 80 days later indicating successful generation of immunological memory. Overall, our results demonstrate that therapeutic anticancer vaccination against B cell lymphoma using an NKT cell ligand can be boosted by subsequent co-stimulation through 4-1BB leading to a sustainable immune response that may enhance outcomes to conventional treatment. |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 42 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 23% |
| Researcher | 10 | 23% |
| Student > Master | 7 | 16% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 11 | 25% |
| Agricultural and Biological Sciences | 10 | 23% |
| Medicine and Dentistry | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Psychology | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 9 | 20% |