bioRxiv preprint doi: https://doi.org/10.1101/056101; this version posted November 1, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Pan-cancer immunogenomic analyses reveal genotype-immunophenotype relationships and predictors of response to checkpoint blockade Pornpimol Charoentong†, Francesca Finotello†, Mihaela Angelova†, Clemens Mayer, Mirjana Efremova, Dietmar Rieder, Hubert Hackl, Zlatko Trajanoski* 1Biocenter, Division of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria †Equal contribution *To whom correspondence should be addressed:
[email protected] Zlatko Trajanoski, PhD Biocenter, Division of Bioinformatics Medical University of Innsbruck Innrain 80, 6020 Innsbruck Austria Email:
[email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/056101; this version posted November 1, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. SUMMARY: The Cancer Genome Atlas revealed the genomic landscapes of common human cancers. In parallel, immunotherapy with checkpoint blockers is transforming the treatment of advanced cancers. As only a minority of the patients is responsive to checkpoint blockers, the identification of predictive markers and the mechanisms of resistance is a subject of intense research. To facilitate understanding of the tumor-immune cell interactions, we characterized the intratumoral immune landscapes and the cancer antigenomes from 20 solid cancers, and created The Cancer Immunome Atlas (http://tcia.at).