Evidence map›Paper›PMID 40927179›Full record

ArticleImmuno-oncology technology2025

Comprehensive analysis of the systemic immune landscape across breast cancer subtypes and disease stages.

N A M Bakker, H Garner, V C M Geurts, E Champanhet, C Klaver, M Duijst, I Nederlof, R C A M Gielen, M de Graaf, R Voorthuis and 5 more

Abstract read
In one paragraph

Article in Immuno-oncology technology, 2025. 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

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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

15 authors.

N A M BakkerDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
H GarnerDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
V C M GeurtsDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
E ChampanhetDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
C KlaverDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
M DuijstDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
I NederlofDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
R C A M GielenDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
M de GraafDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
R VoorthuisDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
M C LiefaardDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
E H LipsDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
H M OosterkampDepartment of Medical Oncology, Haaglanden Medical Center, The Hague, The Netherlands.
M KokDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
K E de VisserDivision of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer is a systemic disease, yet the impact of tumor molecular subtype and disease stage on the systemic immune landscape remains poorly understood. In this study, we comprehensively analyzed the systemic immune landscape in a large cohort of breast cancer patients, encompassing all molecular subtypes and disease stages, alongside a control group of healthy donors. Materials and methods: Using multi-parameter flow cytometry, we assessed the abundance, phenotype, and activation status of diverse innate and adaptive immune cell populations across peripheral blood samples from 355 breast cancer patients and 65 healthy donors. Analyzing all blood samples immediately after collection enabled analysis of often overlooked, but highly abundant granulocyte populations, including neutrophils and eosinophils. Results: Our findings reveal that early-stage breast cancer patients exhibit increased cell counts of neutrophils, classical monocytes, and CD1c- dendritic cells (DCs) compared with healthy donors. In late-stage breast cancer patients, we observed elevated counts of neutrophils, classical monocytes, and non-classical monocytes compared with healthy donors. Additionally, reductions were observed in memory B cells, plasmablast-like cells, conventional CD4 T cells, and regulatory T cells. Notably, distinct molecular subtypes were associated with specific changes in the immune landscape, with the most significant changes observed in the triple-negative subtype. Conclusions: Our data indicate that the systemic immune landscape undergoes more profound alterations in metastatic breast cancer than non-metastatic cases, with disease stage exerting a greater influence on systemic immune composition than tumor subtype.

Indexed as

breast cancerimmune profilinginnate and adaptive immunitymyeloid and lymphoid immunophenotypingsystemic immune landscapetumor molecular subtype and disease stage

Identifiers

PMID40927179
PMCPMC12415084

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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.