Evidence map›Paper›PMID 30514914›Full record

ArticleNature communications2018

Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing.

Michael Bartoschek, Nikolay Oskolkov, Matteo Bocci, John Lövrot, Christer Larsson, Mikael Sommarin, Chris D Madsen, David Lindgren, Gyula Pekar, Göran Karlsson and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 564 papers.

0numbers the graph read from it
0cells of the map it votes in
564citing 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

564 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Understanding and targeting the tumour matrisome.Nature reviews. Clinical oncology · 2026
    Review
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  7. Article
  8. Foxs1-mediated transformation of CD34EMBO molecular medicine · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
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  18. Article
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  20. Article

504 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.

Michael BartoschekDivision of Translational Cancer Research, Department of Laboratory Medicine, BioCARE, Lund University, Medicon Village, 22381, Lund, Sweden.ORCID http://orcid.org/0000-0002-1567-795X
Nikolay OskolkovDepartment of Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Lund University, Sölvegatan 35, 22362, Lund, Sweden.
Matteo BocciDivision of Translational Cancer Research, Department of Laboratory Medicine, BioCARE, Lund University, Medicon Village, 22381, Lund, Sweden.ORCID http://orcid.org/0000-0002-8774-0006
John LövrotDepartment of Oncology and Pathology, Karolinska Institutet, Karolinska Universititetssjukhuset Z1:01, 17176, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-9339-8059
Christer LarssonDivision of Translational Cancer Research, Department of Laboratory Medicine, BioCARE, Lund University, Medicon Village, 22381, Lund, Sweden.
Mikael SommarinDivision of Molecular Hematology, Lund Stem Cell Center, Lund University, BMC B12, 22184, Lund, Sweden.
Chris D MadsenDivision of Translational Cancer Research, Department of Laboratory Medicine, BioCARE, Lund University, Medicon Village, 22381, Lund, Sweden.ORCID http://orcid.org/0000-0001-6838-2103
David LindgrenDivision of Translational Cancer Research, Department of Laboratory Medicine, BioCARE, Lund University, Medicon Village, 22381, Lund, Sweden.
Gyula PekarDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Skåne University Hospital, 22185, Lund, Sweden.
Göran KarlssonDivision of Molecular Hematology, Lund Stem Cell Center, Lund University, BMC B12, 22184, Lund, Sweden.
Markus RingnérDepartment of Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Lund University, Sölvegatan 35, 22362, Lund, Sweden.ORCID http://orcid.org/0000-0001-5469-8940
Jonas BerghDepartment of Oncology and Pathology, Karolinska Institutet, Karolinska Universititetssjukhuset Z1:01, 17176, Stockholm, Sweden.
Åsa BjörklundDepartment of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Husargatan 3, 75237, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-2224-7090
Kristian PietrasDivision of Translational Cancer Research, Department of Laboratory Medicine, BioCARE, Lund University, Medicon Village, 22381, Lund, Sweden. Kristian.Pietras@med.lu.se.ORCID http://orcid.org/0000-0001-6738-4705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer-associated fibroblasts (CAFs) are a major constituent of the tumor microenvironment, although their origin and roles in shaping disease initiation, progression and treatment response remain unclear due to significant heterogeneity. Here, following a negative selection strategy combined with single-cell RNA sequencing of 768 transcriptomes of mesenchymal cells from a genetically engineered mouse model of breast cancer, we define three distinct subpopulations of CAFs. Validation at the transcriptional and protein level in several experimental models of cancer and human tumors reveal spatial separation of the CAF subclasses attributable to different origins, including the peri-vascular niche, the mammary fat pad and the transformed epithelium. Gene profiles for each CAF subtype correlate to distinctive functional programs and hold independent prognostic capability in clinical cohorts by association to metastatic disease. In conclusion, the improved resolution of the widely defined CAF population opens the possibility for biomarker-driven development of drugs for precision targeting of CAFs.

Indexed as

Cancer-Associated FibroblastsSequence Analysis, RNATranscriptomeAdipose TissueAnimalsBiomarkers, TumorBreastBreast NeoplasmsCell CycleCell Line, TumorCluster AnalysisDisease ProgressionEpitheliumFemaleFibroblastsGene Expression ProfilingBiomarkers, TumorTranscription Factors

Identifiers

PMID30514914
PMCPMC6279758

What OpenQuestion holds

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Registered trials

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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.