Evidence map›Paper›PMID 41918187›Full record

ArticleJournal of breast cancer2026

Sentinel Lymph Node Analysis in Patients With Breast Cancer Revealed Alterations in T Cells Subset.

Maria Eduarda Cunha-Silva, Laura Otto Walter, Daniella Serafin Couto Vieira, Yasmin Camile de Souza, Lisandra de Oliveira Silva, João Vitor Steimbach, Maria Cláudia Santos-Silva

Abstract read
In one paragraph

Article in Journal of breast cancer, 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

7 authors.

Maria Eduarda Cunha-SilvaExperimental Oncology and Hemopathies Laboratory, Clinical Analysis Department, Federal University of Santa Catarina, Florianopolis, Brazil.ORCID https://orcid.org/0009-0006-0067-3573
Laura Otto WalterExperimental Oncology and Hemopathies Laboratory, Clinical Analysis Department, Federal University of Santa Catarina, Florianopolis, Brazil.ORCID https://orcid.org/0000-0003-3957-619X
Daniella Serafin Couto VieiraPathology Laboratory Unit, University Hospital Polydoro Ernani de São Thiago, Federal University of Santa Catarina, Florianopolis, Brazil.ORCID https://orcid.org/0000-0003-0188-6010
Yasmin Camile de SouzaExperimental Oncology and Hemopathies Laboratory, Clinical Analysis Department, Federal University of Santa Catarina, Florianopolis, Brazil.ORCID https://orcid.org/0009-0009-2564-6039
Lisandra de Oliveira SilvaExperimental Oncology and Hemopathies Laboratory, Clinical Analysis Department, Federal University of Santa Catarina, Florianopolis, Brazil.ORCID https://orcid.org/0000-0003-2727-1540
João Vitor SteimbachExperimental Oncology and Hemopathies Laboratory, Clinical Analysis Department, Federal University of Santa Catarina, Florianopolis, Brazil.ORCID https://orcid.org/0000-0002-7640-2474
Maria Cláudia Santos-SilvaExperimental Oncology and Hemopathies Laboratory, Clinical Analysis Department, Federal University of Santa Catarina, Florianopolis, Brazil.ORCID https://orcid.org/0000-0003-3916-6473

Funding

Brazilian National Council for Scientific and Technological Development 402416/2023-6Foundation for Research and Innovation of the State of Santa Catarina 1367/2022
6 · The paper itself

Abstract

In breast cancer, sentinel lymph nodes (SLNs) represent the first site of interaction between tumor-derived antigens and the host immune system. However, descriptive data on immune cell subsets within the SLN remains limited. This exploratory study evaluated immune cell populations in SLN samples from women with invasive breast cancer (IBC) using flow cytometry, and assessed their distribution according to clinicopathological characteristics. SNL scrapings were collected from 22 patients with IBC. SNL cells were evaluated using flow cytometry, and the results were compared with clinical and pathological variables, such as tumor subtype, axillary status, lymphovascular invasion (LVI), histological grades, and expression of estrogen receptors (ERs) and human epidermal growth factor receptor 2 (HER2). The frequencies of monocytes and neutrophils were not significantly correlated with the clinical variables analyzed. In patients with LVI, there was an increase in the frequency of CD4⁺ T cells and programmed death-1 (PD-1) expression in CD8⁺ T-cells. Furthermore, a reduction in central memory CD4⁺ T cells and an increase in terminal effector memory CD4⁺ T cells were observed in patients with histological grade III disease compared to those with histological grade I disease. It was also observed that in patients expressing ERs and HER2, there was an increase in PD-1 and programmed death-ligand 1 expression in CD8⁺ T-cells. These findings provide a descriptive overview of immune cell distribution in SLNs according to their clinicopathological features. These results are preliminary and hypothesis-generating, supporting the need for larger longitudinal studies to further characterize the immune profiles within tumor-draining lymph nodes.

Indexed as

Breast NeoplasmsFlow CytometryImmunitySentinel Lymph Node

Identifiers

PMID41918187
PMCPMC13144622

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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.