Evidence map›Paper›PMID 41798198›Full record

ArticleFrontiers in endocrinology2026

Distinctive features of cancer-associated fibroblasts expressing CD105, a novel biomarker for bone metastasis, in early-stage invasive ductal breast cancer.

María Belén Giorello, Francisco Raúl Borzone, María Cecilia Sanmartin, Leandro Marcelo Martinez, Mrinmoy Sarkar, Tapasree Roy Sarkar, Vivian Labovsky, Alejandra Wernicke, Norma Alejandra Chasseing

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

María Belén GiorelloLaboratorio de Inmunohematología, Instituto de Biología y Medicina Experimental (IBYME), Fundación IBYME, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
Francisco Raúl BorzoneLaboratorio de Inmunohematología, Instituto de Biología y Medicina Experimental (IBYME), Fundación IBYME, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
María Cecilia SanmartinLaboratorio de Inmunohematología, Instituto de Biología y Medicina Experimental (IBYME), Fundación IBYME, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
Leandro Marcelo MartinezDivision of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medical College, New York, NY, United States.
Mrinmoy SarkarDepartment of Biology, Faculty, Genetics and Genomics, Center for Biological Clock Research (CBCR) Texas A&M University, College, Station, TX, United States.
Tapasree Roy SarkarDepartment of Biology, Faculty, Genetics and Genomics, Center for Biological Clock Research (CBCR) Texas A&M University, College, Station, TX, United States.
Vivian LabovskyLaboratorio de Inmunohematología, Instituto de Biología y Medicina Experimental (IBYME), Fundación IBYME, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
Alejandra WernickeDepartamento de Anatomía Patológica, Hospital Italiano, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
Norma Alejandra ChasseingLaboratorio de Inmunohematología, Instituto de Biología y Medicina Experimental (IBYME), Fundación IBYME, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cancer-associated fibroblasts (CAFs) are highly heterogeneous and critically influence breast cancer progression, yet functionally relevant stromal subpopulations remain poorly defined. This study investigates whether CD105 expression distinguishes fibroblast subsets with distinct mesenchymal stem-like properties and tumor-modulating functions within early-stage breast cancer. Methods: CD105(+)/CD34(-) and CD105(-)/CD34(-) fibroblast subpopulations were isolated from primary luminal breast tumors and analyzed for phenotypic, molecular, and functional characteristics, as well as for their effects on breast cancer cell behavior using Results: Both fibroblast subpopulations displayed mesenchymal stem/stromal cell (MSC) characteristics; however, CD105(+)/CD34(-) fibroblasts displayed a more pronounced MSC-like phenotype, with enhanced proliferative capacity, altered oxidative status, and a distinct gene expression and secretory profile. CM from CD105(+)/CD34(-) fibroblasts more strongly promoted migration and proliferation and increased the expression of genes associated with stemness, osteogenic differentiation, bone mineralization, and osteoclastogenesis in luminal and triple-negative human breast cancer cell lines, compared with CM from CD105(-)/CD34(-) fibroblasts. Conclusion: These findings identify CD105 as a potential functional discriminator of breast CAF subpopulations and suggest that CD105(+) fibroblasts may preferentially support tumor progression and the acquisition of bone-related traits. This work provides new insight into CAF heterogeneity and its potential relevance for metastatic progression, and may also guide future therapeutic strategies and research directions.

Indexed as

Biomarkers, TumorBone NeoplasmsBreast NeoplasmsCancer-Associated FibroblastsCarcinoma, Ductal, BreastEndoglinCell Line, TumorCell MovementCell ProliferationFemaleHumansMesenchymal Stem CellsBiomarkers, TumorEndoglinENG protein, humanbreast cancercancer-associated fibroblastsCD105metastasisosteoblast-like cancer cellsstemness genes induction

Identifiers

PMID41798198
PMCPMC12962955

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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.