Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data

Genome Med. 2019 May 24;11(1):34. doi: 10.1186/s13073-019-0638-6.

Abstract

We introduce quanTIseq, a method to quantify the fractions of ten immune cell types from bulk RNA-sequencing data. quanTIseq was extensively validated in blood and tumor samples using simulated, flow cytometry, and immunohistochemistry data.quanTIseq analysis of 8000 tumor samples revealed that cytotoxic T cell infiltration is more strongly associated with the activation of the CXCR3/CXCL9 axis than with mutational load and that deconvolution-based cell scores have prognostic value in several solid cancers. Finally, we used quanTIseq to show how kinase inhibitors modulate the immune contexture and to reveal immune-cell types that underlie differential patients' responses to checkpoint blockers.Availability: quanTIseq is available at http://icbi.at/quantiseq .

Keywords: Cancer immunology; Deconvolution; Immune contexture; Immunotherapy; RNA-seq.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Cell Line, Tumor
  • Gene Expression Profiling / methods*
  • Humans
  • Immunotherapy / methods*
  • Neoplasms / genetics
  • Neoplasms / immunology*
  • Neoplasms / therapy
  • Sequence Analysis, RNA / methods*