Kenneth L. Kehl

This study identifies that cancers limit p53 neoantigen display on MHC molecules, evading T cell detection through immune selection and ERAP1-mediated destruction.

This study identifies distinct metastatic phenotypes in cutaneous melanoma using clinico-genomic data and machine learning, linking specific mutations and clinical factors to organ-specific metastasis.

This paper develops OncoNPC, a machine learning classifier for CUP patients using tumor sequencing data, showing improved survival outcomes with treatment aligned to predicted cancer types.

This study identifies three germline variants associated with immune-related adverse events in patients treated with immune checkpoint inhibitors.