Evidence map›Paper›PMID 41521297›Full record

ArticleBreast cancer research : BCR2026

Spatial and temporal dynamics of cancer-associated fibroblast niches in breast cancer.

Jessica Pantaleo, Jonas Sjölund, Paulina Bolivar, Matteo Bocci, Bengt Phung, Maria Malmberg, Göran B Jönsson, Kristian Pietras

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Jessica PantaleoDepartment of Laboratory Medicine, Division of Translational Cancer Research, Lund University Cancer Centre, Lund University, Lund, Sweden.
Jonas SjölundDepartment of Laboratory Medicine, Division of Translational Cancer Research, Lund University Cancer Centre, Lund University, Lund, Sweden.
Paulina BolivarDepartment of Laboratory Medicine, Division of Translational Cancer Research, Lund University Cancer Centre, Lund University, Lund, Sweden.
Matteo BocciDepartment of Laboratory Medicine, Division of Translational Cancer Research, Lund University Cancer Centre, Lund University, Lund, Sweden.
Bengt PhungDepartment of Clinical Sciences, Division of Oncology, Lund University, Lund, Sweden.
Maria MalmbergDepartment of Laboratory Medicine, Division of Translational Cancer Research, Lund University Cancer Centre, Lund University, Lund, Sweden.
Göran B JönssonDepartment of Clinical Sciences, Division of Oncology, Lund University, Lund, Sweden.
Kristian PietrasDepartment of Laboratory Medicine, Division of Translational Cancer Research, Lund University Cancer Centre, Lund University, Lund, Sweden. kristian.pietras@med.lu.se.

Funding

Fru Berta Kamprads Stiftelse L2 Cancer Bridge
6 · The paper itself

Abstract

backgroundCancer-associated fibroblasts (CAFs) are the main constituents of the tumor microenvironment. Several studies have delineated CAF heterogeneity in different types of tumors, however, it is still unknown how the distinct CAF transcriptional profiles are established during tumor progression.

methodsWe reanalyzed a previously published single-cell RNA-sequencing dataset of MMTV-PyMT tumors at higher resolution using Seurat , and CytoTRACE to characterize CAF subtypes and their differentiation states. Wilcoxon rank sum test was applied for differential gene expression. Multiplex immunostaining (Akoya PhenoImager HT) was performed on 38 murine mammary tumors from MMTV-PyMT mice to identify the distinct CAF subtypes. Whole-slide imaging and spatial analysis were conducted using QuPath and Cellpose , followed by neighborhood clustering and interaction mapping with CytoMAP . Cellular distances from CAFs to immune, tumor, and endothelial cells were quantified using SPIAT and Wilcoxon tests for comparisons. In parallel, human spatial transcriptomics data from the 10X Genomics Xenium platform were integrated for cross-species validation.

resultsHere, by single cell RNA-sequencing and multiplex immunostaining, we identify six CAF substates. Spatial analysis on immunostained murine mammary tumors and human spatial transcriptomics data outlined temporal changes in stromal composition and the existence of distinct functional niches enriched with different CAF substates. Immunomodulatory CAFs co-localized with immune cells while myofibroblastic CAFs formed a shield around the tumor core, thus preventing immune infiltration.

conclusionsOur work supports the idea that distinct spatial locations dictate different CAF transcriptional programs. Targeting specific functional niches will ultimately hinder tumor progression by inhibiting signaling between distinct CAF substates and the surrounding tumor microenvironment.

Indexed as

Breast NeoplasmsCancer-Associated FibroblastsTumor MicroenvironmentAnimalsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiceSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsBreast cancerCancer-associated fibroblastsSpatial biologyTumor microenvironment

Identifiers

PMID41521297
PMCPMC12849564

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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.