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Tumor-specific CD4+ T cells develop cytotoxic activity and eliminate virus-induced tumor cells in the absence of regulatory T cells

Overview of attention for article published in Cancer Immunology, Immunotherapy, August 2012
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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

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%