Evidence map›Paper›PMID 42200492›Full record

ArticleThe Journal of pathology2026

Lymph node stromal topology as a hidden regulator of breast cancer outcome: commentary on reticular network analysis

Andrea Vethencourt, Roberto Salgado, Eva Gonzalez-Suarez

Abstract read
In one paragraph

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

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

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

3 authors.

Andrea VethencourtInstitut Català d'Oncologia, Medical Oncology Department, Breast Cancer Unit, Barcelona, Spain.ORCID https://orcid.org/0000-0002-2747-0892
Roberto SalgadoDepartment of Pathology, ZAS Hospitals, Antwerp, Belgium.ORCID https://orcid.org/0000-0002-1110-3801
Eva Gonzalez-SuarezIDIBELL, Institut d'Investigació Biomèdica de Bellvitge, Barcelona, Spain.ORCID https://orcid.org/0000-0003-0858-8171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The axillary lymph node remains a cornerstone of breast cancer staging and therapeutic decision-making, yet it is still largely interpreted through a static anatomical framework. Emerging evidence challenges this paradigm, positioning tumor-draining lymph nodes as dynamic immunological ecosystems that actively regulate tumor progression and host response. In this context, Llewellyn et al introduce a quantitative framework to characterize fibroblastic reticular cell network topology and link nodal architecture to clinical outcomes. By quantifying features such as lacunarity, branching, and alignment in a breast cancer cohort, the authors show that fibroblastic reticular cell network organization is associated with prognosis in a context-dependent manner. While this approach represents a significant conceptual and methodological advance, its biological interpretation remains limited by the absence of functional validation and integrated immune profiling. Accumulating evidence indicates that lymph node microenvironments undergo profound immune reprogramming, highlighting the close interdependence between stromal topology and immune composition. These findings suggest that structural features alone may reflect distinct underlying biological states. Integrating spatial metrics with immune characterization may refine current staging systems, improve risk stratification, and ultimately inform future evolution of staging classifications by incorporating functional and spatial dimensions of nodal involvement. © 2026 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Indexed as

Breast NeoplasmsLymph NodesStromal CellsTumor MicroenvironmentFemaleHumansLymphatic MetastasisNeoplasm StagingPrognosisbreast cancerfibroblastic reticular cellslymph nodespatial biomarkersstromal topology

Identifiers

PMID42200492
PMCPMC13432021

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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.