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

Authors :
Finotello, Francesca
Mayer, Clemens
Plattner, Christina
Laschober, Gerhard
Rieder, Dietmar
Hackl, Hubert
Krogsdam, Anne
Loncova, Zuzana
Posch, Wilfried
Wilflingseder, Doris
Sopper, Sieghart
Ijsselsteijn, Marieke
Brouwer, Thomas P.
Johnson, Douglas
Xu, Yaomin
Wang, Yu
Sanders, Melinda E.
Estrada, Monica V.
Ericsson-Gonzalez, Paula
Charoentong, Pornpimol
Source :
Genome Medicine; 5/24/2019, Vol. 11 Issue 1, pN.PAG-N.PAG, 1p
Publication Year :
2019

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1756994X
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Genome Medicine
Publication Type :
Academic Journal
Accession number :
136648256
Full Text :
https://doi.org/10.1186/s13073-019-0638-6