TY - JOUR T1 - Informatics for Cancer Immunotherapy JF - bioRxiv DO - 10.1101/152264 SP - 152264 AU - J. Hammerbacher AU - A. Snyder Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/06/22/152264.abstract N2 - The rapid development of immunomodulatory cancer therapies has led to a concurrent increase in the application of informatics techniques to the analysis of tumors, the tumor microenvironment, and measures of systemic immunity. In this review, the use of tumors to gather genetic and expression data will first be explored. Next, techniques to assess tumor immunity are reviewed, including HLA status, predicted neoantigens, immune microenvironment deconvolution and T-cell receptor (TCR) sequencing. Attempts to integrate these data are in early stages of development and are discussed next. Finally, we review the application of these informatics strategies to therapy development, with a focus on vaccines, adoptive cell transfer, and checkpoint blockade therapies. ER -