Evidence map›Paper›PMID 38773133›Full record

ArticleScientific reports2024

Dynamic changes in B cell subpopulations in response to triple-negative breast cancer development.

Igor Visconte Gonçalves, Natália Pinheiro-Rosa, Lícia Torres, Mariana de Almeida Oliveira, Gabriela Rapozo Guimarães, Christiana da Silva Leite, José Miguel Ortega, Miriam Teresa Paz Lopes, Ana Maria Caetano Faria, Mariana Lima Boroni Martins and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
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

11 authors.

Igor Visconte GonçalvesDepartment of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil.
Natália Pinheiro-RosaNYU Grossman School of Medicine, NYU Langone Health, New York University, 550 1st Ave, New York, NY, 10016, USA.
Lícia TorresDepartment of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil.
Mariana de Almeida OliveiraDepartment of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil.
Gabriela Rapozo GuimarãesInstituto Nacional de Câncer, Ministério da Saúde, Coordenação de Pesquisa, Laboratório de Bioinformática e Biologia Computacional - Rua André Cavalcanti, 37, 1 Andar, Centro, Rio de Janeiro, RJ, 20231050, Brasil.
Christiana da Silva LeiteDepartment of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil.
José Miguel OrtegaDepartment of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil.
Miriam Teresa Paz LopesDepartment of Pharmacology, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil.
Ana Maria Caetano FariaDepartment of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil.
Mariana Lima Boroni MartinsInstituto Nacional de Câncer, Ministério da Saúde, Coordenação de Pesquisa, Laboratório de Bioinformática e Biologia Computacional - Rua André Cavalcanti, 37, 1 Andar, Centro, Rio de Janeiro, RJ, 20231050, Brasil.
Liza Figueiredo FelicoriDepartment of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil. liza@icb.ufmg.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite presenting a worse prognosis and being associated with highly aggressive tumors, triple-negative breast cancer (TNBC) is characterized by the higher frequency of tumor-infiltrating lymphocytes, which have been implicated in better overall survival and response to therapy. Though recent studies have reported the capacity of B lymphocytes to recognize overly-expressed normal proteins, and tumor-associated antigens, how tumor development potentially modifies B cell response is yet to be elucidated. Our findings reveal distinct effects of 4T1 and E0771 murine tumor development on B cells in secondary lymphoid organs. Notably, we observe a significant expansion of total B cells and plasma cells in the tumor-draining lymph nodes (tDLNs) as early as 7 days after tumor challenge in both murine models, whereas changes in the spleen are less pronounced. Surprisingly, within the tumor microenvironment (TME) of both models, we detect distinct B cell subpopulations, but tumor development does not appear to cause major alterations in their frequency over time. Furthermore, our investigation into B cell regulatory phenotypes highlights that the B10 Breg phenotype remains unaffected in the evaluated tissues. Most importantly, we identified an increase in CD19 + LAG-3 + cells in tDLNs of both murine models. Interestingly, although CD19 + LAG-3 + cells represent a minor subset of total B cells (< 3%) in all evaluated tissues, most of these cells exhibit elevated expression of IgD, suggesting that LAG-3 may serve as an activation marker for B cells. Corroborating with these findings, we detected distinct cell cycle and proliferation genes alongside LAG-3 analyzing scRNA-Seq data from a cohort of TNBC patients. More importantly, our study suggests that the presence of LAG-3 B cells in breast tumors could be associated with a good prognosis, as patients with higher levels of LAG-3 B cell transcripts had a longer progression-free interval (PFI). This novel insight could pave the way for targeted therapies that harness the unique properties of LAG-3 + B cells, potentially offering new avenues for improving patient outcomes in TNBC. Further research is warranted to unravel the mechanistic pathways of these cells and to validate their prognostic value in larger, diverse patient cohorts.

Indexed as

Triple Negative Breast NeoplasmsTumor MicroenvironmentAnimalsAntigens, CDB-LymphocytesB-Lymphocyte SubsetsCell Line, TumorFemaleLymph NodesLymphocyte Activation Gene 3 ProteinLymphocytes, Tumor-InfiltratingMiceMice, Inbred BALB CSpleenAntigens, CDLag3 protein, mouseLymphocyte Activation Gene 3 Protein4T1B LAG-3B-TILE0771Humoral immune responseTriple-negative breast cancerTumor-infiltrating lymphocytes

Identifiers

PMID38773133
PMCPMC11109097

What OpenQuestion holds

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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.