Evidence map›Paper›PMID 39103878›Full record

ArticleJournal of translational medicine2024

Inflammatory breast cancer microenvironment repertoire based on DNA methylation data deconvolution reveals actionable targets to enhance the treatment efficacy.

Naiade Calanca, Flavia Lima Costa Faldoni, Cristiano Pádua Souza, Jeferson Santos Souza, Bianca Elen de Souza Alves, Milena Botelho Pereira Soares, Deysi Viviana Tenazoa Wong, Roberto César Pereira Lima-Junior, Fabio Albuquerque Marchi, Claudia Aparecida Rainho and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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.

Naiade Calanca *Department of Clinical Genetics, University Hospital of Southern Denmark, Beriderbakken 4, Vejle, DK, 7100, Denmark.ORCID 0000-0003-2681-0987
Flavia Lima Costa Faldoni *Department of Clinical Genetics, University Hospital of Southern Denmark, Beriderbakken 4, Vejle, DK, 7100, Denmark.
Cristiano Pádua SouzaMedical Oncology Department, Barretos Cancer Hospital, Pio XII Foundation, Barretos, SP, 14784-400, Brazil.
Jeferson Santos SouzaHealth Technology Institute, SENAI CIMATEC, Salvador, BA, 41650-010, Brazil.
Bianca Elen de Souza AlvesDepartment of Physiology and Pharmacology, Drug Research and Development Center (NPDM), Faculty of Medicine, Federal University of Ceará, Fortaleza, 60430-270, Brazil.
Milena Botelho Pereira SoaresHealth Technology Institute, SENAI CIMATEC, Salvador, BA, 41650-010, Brazil.
Deysi Viviana Tenazoa WongDepartment of Physiology and Pharmacology, Drug Research and Development Center (NPDM), Faculty of Medicine, Federal University of Ceará, Fortaleza, 60430-270, Brazil.
Roberto César Pereira Lima-JuniorDepartment of Physiology and Pharmacology, Drug Research and Development Center (NPDM), Faculty of Medicine, Federal University of Ceará, Fortaleza, 60430-270, Brazil.
Fabio Albuquerque MarchiDepartment of Head and Neck Surgery, University of São Paulo Medical School, São Paulo, SP, 05402-000, Brazil.
Claudia Aparecida RainhoDepartment of Chemical and Biological Sciences, Institute of Biosciences, São Paulo State University (UNESP), Botucatu, SP, 18618-689, Brazil.
Silvia Regina RogattoDepartment of Clinical Genetics, University Hospital of Southern Denmark, Beriderbakken 4, Vejle, DK, 7100, Denmark. silvia.rogatto@unesp.br.ORCID 0000-0003-4637-5687

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the clinical signs of inflammatory breast cancer (IBC) resemble acute inflammation, the role played by infiltrating immune and stromal cells in this aggressive disease is uncharted. The tumor microenvironment (TME) presents molecular alterations, such as epimutations, prior to morphological abnormalities. These changes affect the distribution and the intricate communication between the TME components related to cancer prognosis and therapy response. Herein, we explored the global DNA methylation profile of IBC and surrounding tissues to estimate the microenvironment cellular composition and identify epigenetically dysregulated markers.

methodsWe used the HiTIMED algorithm to deconvolve the bulk DNA methylation data of 24 IBC and six surrounding non-tumoral tissues (SNT) (GSE238092) and determine their cellular composition. The prognostic relevance of cell types infiltrating IBC and their relationship with clinicopathological variables were investigated. CD34 (endothelial cell marker) and CD68 (macrophage marker) immunofluorescence staining was evaluated in an independent set of 17 IBC and 16 non-IBC samples.

resultsWe found lower infiltration of endothelial, stromal, memory B, dendritic, and natural killer cells in IBC than in SNT samples. Higher endothelial cell (EC) and stromal cell content were related to better overall survival. EC proportions positively correlated with memory B and memory CD8

conclusionsOur findings underscored cell subsets that distinguished patients with better survival and dysregulated markers potentially actionable through combinations of immunotherapy and epigenetic drugs.

Indexed as

DNA MethylationInflammatory Breast NeoplasmsTumor MicroenvironmentFemaleGene Expression Regulation, NeoplasticHumansMiddle AgedMolecular Targeted TherapyPrognosisTreatment OutcomeDeconvolutionDNA methylationEndothelial cellsEpigenetic silencingImmune markersInflammatory breast cancerTumor microenvironment

Identifiers

PMID39103878
PMCPMC11301973

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.