Publications by authors named "W C Corwin"

High-affinity MHC I-peptide interactions are considered essential for immunogenicity. However, some neo-epitopes with low affinity for MHC I have been reported to elicit CD8 T cell dependent tumor rejection in immunization-challenge studies. Here we show in a mouse model that a neo-epitope that poorly binds to MHC I is able to enhance the immunogenicity of a tumor in the absence of immunization.

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Sympathetic nerves that innervate lymphoid organs regulate immune development and function by releasing norepinephrine that is sensed by immune cells via their expression of adrenergic receptors. Here, we demonstrate that ablation of sympathetic nervous system (SNS) signaling suppresses tumor immunity, and we dissect the mechanism of such immune suppression. We report that disruption of the SNS in mice removes a critical α-adrenergic signal required for maturation of myeloid cells in normal and tumor-bearing mice.

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Neoepitopes are the only truly tumor-specific antigens. Although potential neoepitopes can be readily identified using genomics, the neoepitopes that mediate tumor rejection constitute a small minority, and there is little consensus on how to identify them. Here, for the first time, we use a combination of genomics, unbiased discovery MS immunopeptidomics and targeted MS to directly identify neoepitopes that elicit actual tumor rejection in mice.

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Dendritic cells play a critical role in initiating T-cell responses. In spite of this recognition, they have not been used widely as adjuvants, nor is the mechanism of their adjuvanticity fully understood. Here, using a mutated neoepitope of a mouse fibrosarcoma as the antigen, and tumor rejection as the end point, we show that dendritic cells but not macrophages possess superior adjuvanticity.

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Measurement of tumor diameters, tumor volumes, or area under the curve has been traditionally used to quantitate and compare tumor growth curves in immune competent as well as immune-compromised mice and rats. Here, using tumor growth data from a large number of mice challenged with live tumor cells, we describe the use of a new composite parameter, Tumor Control Index (TCI) as an alternative method to do the same. This index, comprised of three distinct values, the Tumor Inhibition Score, Tumor Rejection Score, and Tumor Stability Score, provides a complete picture of nearly every aspect of tumor growth in large numbers of animals, can be deduced automatically from tumor diameter or volume data, and can be used to compare several groups of animals in different experiments.

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