Evidence map›Paper›PMID 34016130›Full record

ArticleJournal of experimental & clinical cancer research : CR2021

Deciphering the temporal heterogeneity of cancer-associated fibroblast subpopulations in breast cancer.

Freja Albjerg Venning, Kamilla Westarp Zornhagen, Lena Wullkopf, Jonas Sjölund, Carmen Rodriguez-Cupello, Pontus Kjellman, Mikkel Morsing, Morteza Chalabi Hajkarim, Kyoung Jae Won, Janine Terra Erler and 1 more

Abstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
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  4. Applications and development of in situ nucleic acid visualization techniques.Frontiers in bioengineering and biotechnology · 2026
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  8. Targeting Extra Domain A of Fibronectin to Improve Noninvasive Detection of Triple-Negative Breast Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
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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

11 authors.

Freja Albjerg VenningBiotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), Ole Maaløes Vej 5, 2200, Copenhagen N, Denmark.
Kamilla Westarp ZornhagenBiotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), Ole Maaløes Vej 5, 2200, Copenhagen N, Denmark.
Lena WullkopfBiotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), Ole Maaløes Vej 5, 2200, Copenhagen N, Denmark.
Jonas SjölundDepartment of Laboratory Medicine, Division of Translational Cancer Research, Lund University, Scheelevägen 2, 22381, Lund, Sweden.
Carmen Rodriguez-CupelloDepartment of Laboratory Medicine, Division of Translational Cancer Research, Lund University, Scheelevägen 2, 22381, Lund, Sweden.
Pontus KjellmanDepartment of Laboratory Medicine, Division of Translational Cancer Research, Lund University, Scheelevägen 2, 22381, Lund, Sweden.
Mikkel MorsingDepartment of Laboratory Medicine, Division of Translational Cancer Research, Lund University, Scheelevägen 2, 22381, Lund, Sweden.
Morteza Chalabi HajkarimBiotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), Ole Maaløes Vej 5, 2200, Copenhagen N, Denmark.
Kyoung Jae WonBiotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), Ole Maaløes Vej 5, 2200, Copenhagen N, Denmark.
Janine Terra ErlerBiotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), Ole Maaløes Vej 5, 2200, Copenhagen N, Denmark. janine.erler@bric.ku.dk.
Chris Denis MadsenBiotech Research and Innovation Centre (BRIC), University of Copenhagen (UCPH), Ole Maaløes Vej 5, 2200, Copenhagen N, Denmark. chris.madsen@med.lu.se.ORCID http://orcid.org/0000-0001-6838-2103

Funding

Åke Wiberg Stiftelse M16-0120Åke Wiberg Stiftelse M16-0120 and M17-0235Åke Wiberg Stiftelse M17-0235Cancerfonden 190007Cancerfonden 19 0632 PjCancerfonden CAN 2016/783Cancerfonden CAN 2016/783 and 19 0632 PjCrafoordska Stiftelsen 20171049Crafoordska Stiftelsen 20190798Danmarks Frie Forskningsfond YDUN 1084181001Elof Ericssons Foundation 2017FP7 Ideas: European Research Council ERC-2015-CoG-682881-MATRICANRagnar Söderbergs stiftelse N91/15Sundhed og Sygdom, Det Frie Forskningsråd 1084181001Vetenskapsrådet 2017-03389Vetenskapsrådet 2020-02088
6 · The paper itself

Abstract

backgroundCancer-associated fibroblasts (CAFs) comprise a heterogeneous population of stromal cells within the tumour microenvironment. CAFs exhibit both tumour-promoting and tumour-suppressing functions, making them exciting targets for improving cancer treatments. Careful isolation, identification, and characterisation of CAF heterogeneity is thus necessary for ex vivo validation and future implementation of CAF-targeted strategies in cancer.

methodsMurine 4T1 (metastatic) and 4T07 (poorly/non-metastatic) orthotopic triple negative breast cancer tumours were collected after 7, 14, or 21 days. The tumours were analysed via flow cytometry for the simultaneous expression of six CAF markers: alpha smooth muscle actin (αSMA), fibroblast activation protein alpha (FAPα), platelet derived growth factor receptor alpha and beta (PDGFRα and PDGFRβ), CD26/DPP4 and podoplanin (PDPN). All non-CAFs were excluded from the analysis using a lineage marker cocktail (CD24, CD31, CD45, CD49f, EpCAM, LYVE-1, and TER-119). In total 128 murine tumours and 12 healthy mammary fat pads were analysed.

resultsWe have developed a multicolour flow cytometry strategy based on exclusion of non-CAFs and successfully employed this to explore the temporal heterogeneity of freshly isolated CAFs in the 4T1 and 4T07 mouse models of triple-negative breast cancer. Analysing 128 murine tumours, we identified 5-6 main CAF populations and numerous minor ones based on the analysis of αSMA, FAPα, PDGFRα, PDGFRβ, CD26, and PDPN. All markers showed temporal changes with a distinct switch from primarily PDGFRα+ fibroblasts in healthy mammary tissue to predominantly PDGFRβ+ CAFs in tumours. CD26+ CAFs emerged as a large novel subpopulation, only matched by FAPα+ CAFs in abundance.

conclusionWe demonstrate that multiple subpopulations of CAFs co-exist in murine triple negative breast cancer, and that the abundance and dynamics for each marker differ depending on tumour type and time. Our results form the foundation needed to isolate and characterise specific CAF populations, and ultimately provide an opportunity to therapeutically target specific CAF subpopulations.

Indexed as

AnimalsBreast NeoplasmsCancer-Associated FibroblastsCell Line, TumorFemaleFlow CytometryHumansMiceMice, TransgenicBreast cancer progressionCAF heterogeneityCAF subpopulationsCancer-associated fibroblast (CAF)Flow cytometry analysis

Identifiers

PMID34016130
PMCPMC8138934

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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.