Background: Evidence for T cell mediated regression of human cancer in particular melanoma following immunotherapy is strong. Anti-CTLA4 treatment has been approved for treatment of metastatic melanoma and blockade of PD-1 has shown encouraging results. However, it is unknown which T cell reactivities are involved in cancer regression. Reactivity against non-mutated tumor self-antigens has been analyzed in patients treated with Ipilimumab or with autologous TILs, but the size of these responses are modest. Therefore, T cell recognition of patient-specific mutant epitopes may be a potentially important component. Animal model data recently suggested that analysis of T cell reactivity against patient-specific neo-antigens may be feasible through exploitation of cancer genome data. However, human data have thus far been lacking. Methods: To address this we have used MHC class I peptide exchange technology allowing production of very large collections of pMHC complexes, together with a pMHC "combinatorial coding" strategy for parallel detection of dozens of different T cell populations within a single sample. Results: From a melanoma patient responding to ipilimumab treatment, we identified tumor specific mutations via exome sequencing of tumor material. The exome contained 1,075 non-synonymous mutations. Possible MHC epitopes covering these mutations were predicted based on; 1) predicted to bind the patient’s MHC; 2) predicted to be cleaved by the proteasome; 3) genes of which the mutated peptides arose had evidence of RNA expression. The analysis yielded 1,952 epitopes restricted to the HLA-A and HLA-B. To screen for T cell reactivity against these epitopes we used the pMHC combinatorial coding approach. We found T cell reactivity against 2 neo-antigens, including a dominant T cell response against a mutant epitope of the ATR gene product. Analysis of PBMC samples collected before and during Ipilimumab therapy showed that this particular response increased strongly after treatment from 0.06% to 0.28% of CD8 T cells after being stable in magnitude for 10 months. Conclusions: These data provide the first demonstration of cancer exome-guided analysis to dissect the effects of melanoma immunotherapy.