Title |
Targeting of cancer neoantigens with donor-derived T cell receptor repertoires
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Published in |
Science, May 2016
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DOI | 10.1126/science.aaf2288 |
Pubmed ID | |
Authors |
Erlend Strønen, Mireille Toebes, Sander Kelderman, Marit M van Buuren, Weiwen Yang, Nienke van Rooij, Marco Donia, Maxi-Lu Böschen, Fridtjof Lund-Johansen, Johanna Olweus, Ton N Schumacher |
Abstract |
Accumulating evidence suggests that clinically efficacious cancer immunotherapies are driven by T cell reactivity against DNA mutation-derived neoantigens. However, among the large number of predicted neoantigens, only a minority is recognized by autologous patient T cells, and strategies to broaden neoantigen specific T cell responses are therefore attractive. Here, we demonstrate that naïve T cell repertoires of healthy blood donors provide a source of neoantigen-specific T cells, responding to 11/57 predicted HLA-A2-binding epitopes from three patients. Many of the T cell reactivities involved epitopes that in vivo were neglected by patient autologous tumor-infiltrating lymphocytes. Finally, T cells re-directed with T cell receptors identified from donor-derived T cells efficiently recognized patient-derived melanoma cells harboring the relevant mutations, providing a rationale for the use of such "outsourced" immune responses in cancer immunotherapy. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 19% |
United Kingdom | 4 | 7% |
Norway | 3 | 5% |
Germany | 2 | 3% |
Australia | 2 | 3% |
Spain | 2 | 3% |
Switzerland | 2 | 3% |
Bulgaria | 1 | 2% |
Singapore | 1 | 2% |
Other | 8 | 14% |
Unknown | 23 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 32 | 54% |
Scientists | 20 | 34% |
Practitioners (doctors, other healthcare professionals) | 6 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | <1% |
Korea, Republic of | 2 | <1% |
United States | 2 | <1% |
Japan | 2 | <1% |
United Kingdom | 2 | <1% |
France | 1 | <1% |
Netherlands | 1 | <1% |
Israel | 1 | <1% |
Spain | 1 | <1% |
Other | 0 | 0% |
Unknown | 740 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 175 | 23% |
Student > Ph. D. Student | 157 | 21% |
Student > Master | 81 | 11% |
Other | 58 | 8% |
Student > Bachelor | 43 | 6% |
Other | 108 | 14% |
Unknown | 132 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 159 | 21% |
Agricultural and Biological Sciences | 152 | 20% |
Immunology and Microbiology | 116 | 15% |
Medicine and Dentistry | 101 | 13% |
Engineering | 24 | 3% |
Other | 59 | 8% |
Unknown | 143 | 19% |