Mining Exomic Sequencing Data to Identify Mutated Antigens Recognized by Adoptively Transferred Tumor-reactive T cells

Abstract

Significant tumor regressions have been observed in up to 70% of patients receiving adoptively transferred autologous melanoma-reactive tumor infiltrating lymphocytes (TIL) ^{1, 2} , and in pilot trials, 40% of treated patients experienced complete regressions of all measurable lesions for at least five years following treatment ³ . To evaluate the potential association between the ability of TIL to mediate durable regressions and their ability to recognize potent antigens that presumably include mutated gene products, a novel screening approach was developed that involved mining whole exome sequence data to identify the mutated proteins that were expressed in patient tumors. Candidate mutated T cell epitopes that were identified using an MHC binding algorithm ⁴ were then synthesized and evaluated for recognition by TIL. Using this approach, mutated antigens expressed on autologous tumor cells were identified as targets of three TIL that were associated with objective tumor regressions following adoptive transfer. This simplified approach, which avoids the need to generate and laboriously screen cDNA libraries from tumors, may represent a generally applicable method for identifying mutated T cell antigens expressed in melanoma as well as other tumor types.