Evidence map›Paper›PMID 30982598›Full record

Trial reportCell2019

A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer.

Johanna Wagner, Maria Anna Rapsomaniki, Stéphane Chevrier, Tobias Anzeneder, Claus Langwieder, August Dykgers, Martin Rees, Annette Ramaswamy, Simone Muenst, Savas Deniz Soysal and 8 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 485 papers.

0numbers the graph read from it
0cells of the map it votes in
485citing papers in PubMed
–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

485 citing papers in PubMed.

  1. Review
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  5. Article
  6. The immunology of human breast cancer.Nature reviews. Immunology · 2026
    Review
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  11. Review
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425 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

18 authors.

Johanna WagnerInstitute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland; Molecular Life Sciences Ph.D. Program, Life Science Zurich Graduate School, ETH Zurich and University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Maria Anna RapsomanikiIBM Research Zurich, Saeumerstrasse 4, 8803 Rueschlikon, Switzerland.
Stéphane ChevrierInstitute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Tobias AnzenederPatients' Tumor Bank of Hope (PATH) Biobank, PO 750729, 81337 Munich, Germany.
Claus LangwiederInstitute of Pathology at Josefshaus, Amalienstrasse 21, 44137 Dortmund, Germany.
August DykgersInstitute of Pathology at Josefshaus, Amalienstrasse 21, 44137 Dortmund, Germany.
Martin ReesInstitute of Pathology at Josefshaus, Amalienstrasse 21, 44137 Dortmund, Germany.
Annette RamaswamyInstitute of Pathology, University Hospital Giessen and Marburg, Baldingerstrasse, 35043 Marburg, Germany.
Simone MuenstInstitute of Pathology, University Hospital Basel and University of Basel, Schoenbeinstrasse 40, 4031 Basel, Switzerland.
Savas Deniz SoysalClarunis, University Hospital Basel and University of Basel, Spitalstrasse 21, 4031 Basel, Switzerland; Breast Cancer Center, University Hospital Basel and University of Basel, Spitalstrasse 21, 4031 Basel, Switzerland.
Andrea JacobsInstitute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Jonas WindhagerInstitute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland; Systems Biology Ph.D. Program, Life Science Zurich Graduate School, ETH Zurich and University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Karina SilinaInstitute of Experimental Immunology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Maries van den BroekInstitute of Experimental Immunology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Konstantin Johannes DedesBreast Cancer Center, University Hospital Zurich, Frauenklinikstrasse 10, 8091 Zurich, Switzerland.
Maria Rodríguez MartínezIBM Research Zurich, Saeumerstrasse 4, 8803 Rueschlikon, Switzerland.
Walter Paul WeberBreast Cancer Center, University Hospital Basel and University of Basel, Spitalstrasse 21, 4031 Basel, Switzerland; Department of Surgery, University Hospital Basel and University of Basel, Spitalstrasse 21, 4031 Basel, Switzerland.
Bernd BodenmillerInstitute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland. Electronic address: bernd.bodenmiller@imls.uzh.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease. Tumor cells and associated healthy cells form ecosystems that determine disease progression and response to therapy. To characterize features of breast cancer ecosystems and their associations with clinical data, we analyzed 144 human breast tumor and 50 non-tumor tissue samples using mass cytometry. The expression of 73 proteins in 26 million cells was evaluated using tumor and immune cell-centric antibody panels. Tumors displayed individuality in tumor cell composition, including phenotypic abnormalities and phenotype dominance. Relationship analyses between tumor and immune cells revealed characteristics of ecosystems related to immunosuppression and poor prognosis. High frequencies of PD-L1

Indexed as

Breast NeoplasmsImmune ToleranceLymphocytes, Tumor-InfiltratingMacrophagesB7-H1 AntigenCell Line, TumorDisease-Free SurvivalFemaleHumansNeoplasm ProteinsSurvival RateTumor MicroenvironmentB7-H1 AntigenCD274 protein, humanNeoplasm Proteinsbreast cancerimmunosuppressionmacrophagemass cytometrysingle-cell analysisT celltumor ecosystemtumor heterogeneity

Identifiers

PMID30982598
PMCPMC6526772

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.