Evidence map›Paper›PMID 29670256›Full record

ArticleScientific reports2018

Deviations of the immune cell landscape between healthy liver and hepatocellular carcinoma.

Nataliya Rohr-Udilova, Florian Klinglmüller, Rolf Schulte-Hermann, Judith Stift, Merima Herac, Martina Salzmann, Francesca Finotello, Gerald Timelthaler, Georg Oberhuber, Matthias Pinter and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 1 pooled it
15.0field-weighted citation impact, top 1% of its field
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

122 citing papers in PubMed, 1 synthesis or guideline pooled it, 219 citations in OpenAlex.

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62 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Nataliya Rohr-UdilovaDivision of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria. nataliya.rohr-udilova@meduniwien.ac.at.
Florian KlinglmüllerCentre for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Spitalgasse 23, A-1090, Vienna, Austria.
Rolf Schulte-HermannInstitute of Cancer Research, Internal Medicine I, Medical University of Vienna and Comprehensive Cancer Center (CCC), Borschkegasse 8a, A-1090, Vienna, Austria.
Judith StiftClinical Institute of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Merima HeracClinical Institute of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Martina SalzmannInstitute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
Francesca FinotelloDivision of Bioinformatics, Biocenter, Medical University of Innsbruck, Innrain 80-82, 6020, Innsbruck, Austria.ORCID 0000-0003-0712-4658
Gerald TimelthalerClinical Institute of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Georg OberhuberClinical Institute of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Matthias PinterDivision of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Thomas ReibergerDivision of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.ORCID 0000-0002-4590-3583
Erika Jensen-JarolimInstitute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
Robert EferlClinical Institute of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Michael TraunerDivision of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Medical University of Vienna · ATComprehensive Cancer Center Vienna · ATInnsbruck Medical University · ATUniversity of Veterinary Medicine Vienna · AT

Funding

Austrian Science Fund FWF P 26908Austrian Science Fund FWF P 29222Austrian Science Fund FWF T 974
6 · The paper itself

Abstract

Tumor-infiltrating immune cells are highly relevant for prognosis and identification of immunotherapy targets in hepatocellular carcinoma (HCC). The recently developed CIBERSORT method allows immune cell profiling by deconvolution of gene expression microarray data. By applying CIBERSORT, we assessed the relative proportions of immune cells in 41 healthy human livers, 305 HCC samples and 82 HCC adjacent tissues. The obtained immune cell profiles provided enumeration and activation status of 22 immune cell subtypes. Mast cells were evaluated by immunohistochemistry in ten HCC patients. Activated mast cells, monocytes and plasma cells were decreased in HCC, while resting mast cells, total and naïve B cells, CD4

Indexed as

Adaptive ImmunityCarcinoma, HepatocellularCase-Control StudiesCellular MicroenvironmentHumansImmunity, InnateImmunophenotypingLiverLiver NeoplasmsLymphocytes, Tumor-InfiltratingLymphocyte SubsetsTumor Microenvironment

Identifiers

PMID29670256
PMCPMC5906687
OpenAlexW2802725048

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.