Herrmann, Lauren M

Abstract In human melanoma, tumor cell-specific MHC class II expression is associated with improved response to programmed death 1 and programmed death-ligand 1 blockade; yet the direct effect of melanoma cell-specific MHC class II expression on anti-melanoma T cell responses remains largely unknown. In the clinically relevant Yale University Mouse Melanoma Exposed to Radiation (YUMMER) cell lines, MHC class II expression was IFN-γ-inducible in a subset of cells. Transduction of melanoma cells with CIITA resulted in uniformly high, constitutive expression of MHC class II. YUMMER.G cells transduced with CIITA vector had increased in vivo tumor growth in wild-type mice compared to melanoma cells transduced with empty vector. YUMMER.G cells transduced with empty or CIITA vectors had the same in vivo tumor growth in RAG−/− mice, indicating that the difference in tumor growth between CIITA- and empty-transduced cells was dependent on an intact adaptive immune system. CIITA-transduced YUMMER.G tumors exhibited an increased frequency and infiltration depth of CD4+ T cells, an increased frequency of T regulatory cells, and a decreased frequency and infiltration depth of CD8+ T cells, compared to empty-transduced tumors. Antibody depletion revealed that CIITA- and empty-transduced YUMMER.G tumors were constrained by CD4+ and CD8+ T cells, but only tumor growth of CIITA-transduced cells was decreased by CD25 blockade, which primarily blocks T regulatory cell function. Overall, this work reveals a potential pro-tumorigenic role of melanoma cell-specific overexpression of MHC class II.

Background Challenges in predicting which neoantigens mediate tumor rejection limit the efficacy of neoantigen vaccines to treat cancers, especially for cancers with a high mutational burden like cutaneous squamous cell carcinoma (cSCC). Only a small portion of neoantigens prioritized by current methods elicit effective T cell responses, demonstrating the critical need for improved criteria for the prediction of tumor-rejecting neoantigens. Methods Publicly available human cSCC datasets were used to assess the frequency of shared mutations between patients. A transplantable ultraviolet light-induced mouse model of cSCC was generated. The mutational signature and driver mutations in the mouse model were compared with human tumors. Neoantigens were prioritized in the mouse model, and tumor-rejecting neoantigens were identified through (enzyme-linked immunosorbent spot (ELISpot) and in vivo prophylactic vaccination. Binding of the neoantigens and corresponding wild-type peptides to major histocompatibility complex (MHC) class I was determined. Structural modeling of peptide:MHC complexes was performed to assess for changes in structural characteristics of the neoantigens relative to the wild-type peptides. Results A minority of human cSCC tumors shared neoantigens. The mouse cSCC model recapitulated the mutational signature and driver mutations found in human disease and was constrained by CD8 T cells. Two MHC class I neoantigens were identified in the mouse model that constrained cSCC growth. One tumor-rejecting neoantigen exhibited improved MHC binding, and the other had increased solvent accessibility of the mutated residue, compared with wild-type. Across known neoantigens that do not impact MHC binding, increased exposure of the mutated residue distinguished tumor-rejecting from non-immunogenic neoantigens. Conclusions Given the paucity of shared mutations, this work supports the need for personalized neoantigen vaccines in cSCC. To facilitate further discovery, we provide a clinically relevant mouse cSCC model with two defined neoantigens that mediate tumor rejection. Structural changes in the exposure of features that promote T cell receptor recognition defined tumor-rejecting neoantigens. Incorporation of structural modeling to predict changes in T cell receptor accessibility is anticipated to improve the selection of neoantigens for inclusion in personalized cancer vaccines.