Evidence map›Paper›PMID 35122013›Full record

ArticleNature cancer2020

Imaging mass cytometry and multiplatform genomics define the phenogenomic landscape of breast cancer.

H Raza Ali, Hartland W Jackson, Vito R T Zanotelli, Esther Danenberg, Jana R Fischer, Helen Bardwell, Elena Provenzano, CRUK IMAXT Grand Challenge Team, Oscar M Rueda, Suet-Feung Chin and 3 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 198 papers.

0numbers the graph read from it
0cells of the map it votes in
198citing papers in PubMed
18.0field-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

198 citing papers in PubMed, 324 citations in OpenAlex.

  1. Trial
  2. Review
  3. The immunology of human breast cancer.Nature reviews. Immunology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
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  11. Review
  12. Article
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  14. Review
  15. Integrating Spatial Proteogenomics in Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 9 institutions in 4 countries.

H Raza Ali *Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Hartland W Jackson *Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-6423-2415
Vito R T ZanotelliDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-7268-311X
Esther DanenbergDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Jana R FischerDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Helen BardwellCRUK Cambridge Institute, University of Cambridge, Cambridge, UK.
Elena ProvenzanoCambridge Breast Unit, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge, UK.
CRUK IMAXT Grand Challenge Team
Oscar M RuedaCRUK Cambridge Institute, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-0008-4884
Suet-Feung ChinCRUK Cambridge Institute, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-5697-1082
Samuel AparicioMolecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.ORCID http://orcid.org/0000-0002-0487-9599
Carlos CaldasCRUK Cambridge Institute, University of Cambridge, Cambridge, UK. carlos.caldas@cruk.cam.ac.uk.ORCID http://orcid.org/0000-0003-3547-1489
Bernd BodenmillerDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland. bernd.bodenmiller@imls.uzh.ch.ORCID http://orcid.org/0000-0002-6325-7861
University of Cambridge · GBMcGovern Institute for Brain Research · USUniversity of Zurich · CHHoward Hughes Medical Institute · USProvincial Health Services Authority · CAMemorial Sloan Kettering Cancer Center · USUniversity of British Columbia · CACambridge University Hospitals NHS Foundation Trust · GBZurich University of Teacher Education · CH

Funding

Single-Cell Analyses of Human Islets in T1D Using Highly Multiplexed ImagingUC4DK108132 · NIDDK · UNIVERSITY OF FLORIDA · PI ATKINSON, MARK A., BODENMILLER, BERND · 2015 to 2015
$3.6M
Cancer Research UK 16942Cancer Research UK 21143Cancer Research UK 25815NIDDK NIH HHS UC4 DK108132
6 · The paper itself

Abstract

Genomic alterations shape cell phenotypes and the structure of tumor ecosystems in poorly defined ways. To investigate these relationships, we used imaging mass cytometry to quantify the expression of 37 proteins with subcellular spatial resolution in 483 tumors from the METABRIC cohort. Single-cell analysis revealed cell phenotypes spanning epithelial, stromal and immune types. Distinct combinations of cell phenotypes and cell-cell interactions were associated with genomic subtypes of breast cancer. Epithelial luminal cell phenotypes separated into those predominantly impacted by mutations and those affected by copy number aberrations. Several features of tumor ecosystems, including cellular neighborhoods, were linked to prognosis, illustrating their clinical relevance. In summary, systematic analysis of single-cell phenotypic and spatial correlates of genomic alterations in cancer revealed how genomes shape both the composition and architecture of breast tumor ecosystems and will enable greater understanding of the phenotypic impact of genomic alterations.

Indexed as

Breast NeoplasmsEcosystemFemaleGenomicsHumansImage CytometryPrognosis

Identifiers

PMID35122013
OpenAlexW3005698181

What OpenQuestion holds

Textmetadata
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.