Title |
Tumor-specific CD4+ T cells develop cytotoxic activity and eliminate virus-induced tumor cells in the absence of regulatory T cells
|
---|---|
Published in |
Cancer Immunology, Immunotherapy, August 2012
|
DOI | 10.1007/s00262-012-1329-y |
Pubmed ID | |
Authors |
Ilseyar Akhmetzyanova, Gennadiy Zelinskyy, Simone Schimmer, Sven Brandau, Petra Altenhoff, Tim Sparwasser, Ulf Dittmer |
Abstract |
The important role of tumor-specific cytotoxic CD8(+) T cells is well defined in the immune control of the tumors, but the role of effector CD4(+) T cells is poorly understood. In the current research, we have used a murine retrovirus-induced tumor cell line of C57BL/6 mouse origin, namely FBL-3 cells, as a model to study basic mechanisms of immunological control and escape during tumor formation. This study shows that tumor-specific CD4(+) T cells are able to protect against virus-induced tumor cells. We show here that there is an expansion of tumor-specific CD4(+) T cells producing cytokines and cytotoxic molecule granzyme B (GzmB) in the early phase of tumor growth. Importantly, we demonstrate that in vivo depletion of regulatory T cells (Tregs) and CD8(+) T cells in FBL-3-bearing DEREG transgenic mice augments IL-2 and GzmB production by CD4(+) T cells and increases FV-specific CD4(+) T-cell effector and cytotoxic responses leading to the complete tumor regression. Therefore, the capacity to reject tumor acquired by tumor-reactive CD4(+) T cells largely depends on the direct suppressive activity of Tregs. We suggest that a cytotoxic CD4(+) T-cell immune response may be induced to enhance resistance against oncovirus-associated tumors. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Argentina | 1 | 2% |
Unknown | 51 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 23% |
Researcher | 12 | 23% |
Student > Master | 5 | 10% |
Student > Bachelor | 4 | 8% |
Professor > Associate Professor | 4 | 8% |
Other | 6 | 12% |
Unknown | 9 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 27% |
Medicine and Dentistry | 11 | 21% |
Immunology and Microbiology | 7 | 13% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Mathematics | 2 | 4% |
Other | 3 | 6% |
Unknown | 10 | 19% |