RT Journal Article SR Electronic T1 ImmunoMap: A Bioinformatics Tool for T-cell Repertoire Analysis JF Cancer Immunology Research JO Cancer Immunol Res FD American Association for Cancer Research SP 151 OP 162 DO 10.1158/2326-6066.CIR-17-0114 VO 6 IS 2 A1 Sidhom, John-William A1 Bessell, Catherine A. A1 Havel, Jonathan J. A1 Kosmides, Alyssa A1 Chan, Timothy A. A1 Schneck, Jonathan P. YR 2018 UL http://cancerimmunolres.aacrjournals.org/content/6/2/151.abstract AB Despite a dramatic increase in T-cell receptor (TCR) sequencing, few approaches biologically parse the data in a fashion that both helps yield new information about immune responses and may guide immunotherapeutic interventions. To address this issue, we developed a method, ImmunoMap, that utilizes a sequence analysis approach inspired by phylogenetics to examine TCR repertoire relatedness. ImmunoMap analysis of the CD8 T-cell response to self-antigen (Kb-TRP2) or to a model foreign antigen (Kb-SIY) in naïve and tumor-bearing B6 mice showed differences in the T-cell repertoire of self- versus foreign antigen-specific responses, potentially reflecting immune pressure by the tumor, and also detected lymphoid organ–specific differences in TCR repertoires. When ImmunoMap was used to analyze clinical trial data of tumor-infiltrating lymphocytes from patients being treated with anti–PD-1, ImmunoMap, but not standard TCR sequence analyses, revealed a clinically predicative signature in pre- and posttherapy samples. Cancer Immunol Res; 6(2); 151–62. ©2017 AACR.