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

2019 Genome Medicine 1,577 citations

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

Immune systemFlow cytometryCancer researchBiologyCytotoxic T cellDeconvolutionComputational biologyImmunologyComputer scienceBiochemistryAlgorithm

MeSH Terms

AlgorithmsCell LineTumorGene Expression ProfilingHumansImmunotherapyNeoplasmsSequence AnalysisRNA

Affiliated Institutions

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Publication Info

Year
2019
Type
article
Volume
11
Issue
1
Pages
34-34
Citations
1577
Access
Closed

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1577
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Cite This

Francesca Finotello, Clemens Mayer, Christina Plattner et al. (2019). Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data. Genome Medicine , 11 (1) , 34-34. https://doi.org/10.1186/s13073-019-0638-6

Identifiers

DOI
10.1186/s13073-019-0638-6
PMID
31126321
PMCID
PMC6534875

Data Quality

Data completeness: 90%