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arXiv · 1510.08372

T cell equation as a conceptual model of T cell responses for maximizing the efficacy of cancer immunotherapy

Haidong Dong·Yiyi Yan·Roxana S. Dronca·Svetomir N. Markovic
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Abstract

Following antigen stimulation, the net outcomes of a T cell response are shaped by integrated signals from both positive co-stimulatory and negative regulatory molecules. Recently, the blockade of negative regulatory molecules (i.e. immune checkpoint signals) demonstrates therapeutic effects in treatment of human cancer, but only in a fraction of cancer patients. Since this therapy is aimed to enhance T cell responses to cancers, here we devised a conceptual model by integrating both positive and negative signals in addition to antigen stimulation. A digital range of adjustment of each signal is formulated in our model for prediction of a final T cell response. This model allows us to evaluate strategies in order to enhance antitumor T cell responses. Our model provides a rational combination strategy for maximizing the therapeutic effects of cancer immunotherapy.

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Haidong Dong, Yiyi Yan, Roxana S. Dronca, Svetomir N. Markovic. 2015-10-28. T cell equation as a conceptual model of T cell responses for maximizing the efficacy of cancer immunotherapy. https://doi.org/10.15226/2372-0948%2F4%2F1%2F00155

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