Evidence map›Paper›PMID 31126321›Full record

ArticleGenome medicine2019

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

Francesca Finotello, Clemens Mayer, Christina Plattner, Gerhard Laschober, Dietmar Rieder, Hubert Hackl, Anne Krogsdam, Zuzana Loncova, Wilfried Posch, Doris Wilflingseder and 13 more

Erratum issuedAbstract read
In one paragraph

Article in Genome medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1,068 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,068citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1,068 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Cross-Study Meta-Analysis of Blood Transcriptomes in Type 2 Diabetes.International journal of molecular sciences · 2025
    Pooled it
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  4. Systematic Analysis of Tumor Microenvironment Using IOBR.Methods in molecular biology (Clifton, N.J.) · 2027
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  11. DONSON links tumor-cell survival to MIF-associated macrophage remodeling in small cell lung cancer.Apoptosis : an international journal on programmed cell death · 2026
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1,008 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Francesca FinotelloBiocenter, Division of Bioinformatics, Medical University of Innsbruck, Innrain 80, Innsbruck, Austria.
Clemens MayerBiocenter, Division of Bioinformatics, Medical University of Innsbruck, Innrain 80, Innsbruck, Austria.
Christina PlattnerBiocenter, Division of Bioinformatics, Medical University of Innsbruck, Innrain 80, Innsbruck, Austria.
Gerhard LaschoberBiocenter, Division of Bioinformatics, Medical University of Innsbruck, Innrain 80, Innsbruck, Austria.
Dietmar RiederBiocenter, Division of Bioinformatics, Medical University of Innsbruck, Innrain 80, Innsbruck, Austria.
Hubert HacklBiocenter, Division of Bioinformatics, Medical University of Innsbruck, Innrain 80, Innsbruck, Austria.
Anne KrogsdamBiocenter, Division of Bioinformatics, Medical University of Innsbruck, Innrain 80, Innsbruck, Austria.
Zuzana LoncovaBiocenter, Division of Bioinformatics, Medical University of Innsbruck, Innrain 80, Innsbruck, Austria.
Wilfried PoschDivision of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.
Doris WilflingsederDivision of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.
Sieghart SopperDepartment of Haematology and Oncology, Medical University of Innsbruck, Innsbruck, Austria.
Marieke IjsselsteijnDepartment of Pathology, Leiden University Medical Centre, Leiden, The Netherlands.
Thomas P BrouwerDepartment of Pathology, Leiden University Medical Centre, Leiden, The Netherlands.
Douglas JohnsonVanderbilt University, Nashville, TN, USA.
Yaomin XuDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Yu WangDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Melinda E SandersDepartment Pathology Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
Monica V EstradaDepartment Pathology Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
Paula Ericsson-GonzalezDepartment Pathology Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
Pornpimol CharoentongDepartment of Medical Oncology and Internal Medicine VI, National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Justin BalkoVanderbilt University, Nashville, TN, USA.
Noel Filipe da Cunha Carvalho de MirandaDepartment of Pathology, Leiden University Medical Centre, Leiden, The Netherlands.
Zlatko TrajanoskiBiocenter, Division of Bioinformatics, Medical University of Innsbruck, Innrain 80, Innsbruck, Austria. zlatko.trajanoski@i-med.ac.at.ORCID 0000-0002-0636-7351

Funding

TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
Predicting and profiling long-term survival after immune checkpoint inhibitionK23CA204726 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JOHNSON, DOUGLAS B · 2016 to 2020
$756k
Dusp4 in breast cancer: tumor suppressor biology and therapeutic strategiesR00CA181491 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BALKO, JUSTIN M · 2015 to 2017
$750k
Austrian Science Fund FWF T 974European Research Council 786295NCI NIH HHS K23 CA204726NCI NIH HHS P50 CA098131NCI NIH HHS R00 CA181491
6 · The paper itself

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 .

Indexed as

AlgorithmsCell Line, TumorGene Expression ProfilingHumansImmunotherapyNeoplasmsSequence Analysis, RNACancer immunologyDeconvolutionImmune contextureImmunotherapyRNA-seq

Identifiers

PMID31126321
PMCPMC6534875

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.