Clemens Mayer

TL;DR: The immunophenoscore was a superior predictor of response to anti-cytotoxic T lymphocyte antigen-4 (CTLA-4) and anti-programmed cell death protein 1 (anti-PD-1) antibodies in two independent validation cohorts and may help inform cancer immunotherapy and facilitate the development of precision immuno-oncology.

TL;DR: Cellular characterization of the immune infiltrates revealed a role of cancer-germline antigens in spontaneous immunity and showed that tumor genotypes determine immunophenotypes and tumor escape mechanisms and a scoring scheme for the quantification termed immunophenoscore was developed.

TL;DR: QuanTIseq as discussed by the authors is a method to quantify the fractions of ten immune cell types from bulk RNA-sequencing data, which is extensively validated in blood and tumor samples using simulated, flow cytometry, and immunohistochemistry data.

TL;DR: QuanTIseq, a deconvolution method that quantifies the densities of ten immune cell types from bulk RNA sequencing data and tissue imaging data, is developed and used to show how kinase inhibitors modulate the immune contexture and suggest that it might have predictive value for immunotherapy.

TL;DR: TIminer, an easy‐to‐use computational pipeline for mining tumor‐immune cell interactions from next‐generation sequencing data, enables integrative immunogenomic analyses, including: human leukocyte antigens typing, neoantigen prediction, characterization of immune infiltrates and quantification of tumor immunogenicity.