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

dc.contributor.authorCalanca, Naiade [UNESP]
dc.contributor.authorFaldoni, Flavia Lima Costa
dc.contributor.authorSouza, Cristiano Pádua
dc.contributor.authorSouza, Jeferson Santos
dc.contributor.authorde Souza Alves, Bianca Elen
dc.contributor.authorSoares, Milena Botelho Pereira
dc.contributor.authorWong, Deysi Viviana Tenazoa
dc.contributor.authorLima-Junior, Roberto César Pereira
dc.contributor.authorMarchi, Fabio Albuquerque
dc.contributor.authorRainho, Claudia Aparecida [UNESP]
dc.contributor.authorRogatto, Silvia Regina [UNESP]
dc.contributor.institutionUniversity Hospital of Southern Denmark
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionPio XII Foundation
dc.contributor.institutionSENAI CIMATEC
dc.contributor.institutionFederal University of Ceará
dc.contributor.institutionFIOCRUZ
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionCancer Institute of the State of São Paulo (ICESP)
dc.contributor.institutionUniversity of Southern Denmark
dc.date.accessioned2025-04-29T18:49:09Z
dc.date.issued2024-12-01
dc.description.abstractBackground: Although 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. Methods: We 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. Results: We 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+ T infiltration in IBC. Immune and EC markers exhibited distinct DNA methylation profiles between IBC and SNT samples, revealing hypermethylated regions mapped to six genes (CD40, CD34, EMCN, HLA-G, PDPN, and TEK). We identified significantly higher CD34 and CD68 protein expression in IBC compared to non-IBC. Conclusions: Our findings underscored cell subsets that distinguished patients with better survival and dysregulated markers potentially actionable through combinations of immunotherapy and epigenetic drugs.en
dc.description.affiliationDepartment of Clinical Genetics University Hospital of Southern Denmark, Beriderbakken 4, DK
dc.description.affiliationDepartment of Chemical and Biological Sciences Institute of Biosciences São Paulo State University (UNESP), SP
dc.description.affiliationMedical Oncology Department Barretos Cancer Hospital Pio XII Foundation, SP
dc.description.affiliationHealth Technology Institute SENAI CIMATEC, BA
dc.description.affiliationDepartment of Physiology and Pharmacology Drug Research and Development Center (NPDM) Faculty of Medicine Federal University of Ceará
dc.description.affiliationGonçalo Moniz Institute FIOCRUZ, BA
dc.description.affiliationDepartment of Head and Neck Surgery University of São Paulo Medical School, SP
dc.description.affiliationCenter for Translational Research in Oncology Cancer Institute of the State of São Paulo (ICESP), SP
dc.description.affiliationInstitute of Regional Health Research University of Southern Denmark
dc.description.affiliationBotucatu Medical School Hospital São Paulo State University (UNESP), SP
dc.description.affiliationUnespDepartment of Chemical and Biological Sciences Institute of Biosciences São Paulo State University (UNESP), SP
dc.description.affiliationUnespBotucatu Medical School Hospital São Paulo State University (UNESP), SP
dc.description.sponsorshipKlinisk Institut, Syddansk Universitet
dc.description.sponsorshipSyddansk Universitet
dc.identifierhttp://dx.doi.org/10.1186/s12967-024-05553-5
dc.identifier.citationJournal of Translational Medicine, v. 22, n. 1, 2024.
dc.identifier.doi10.1186/s12967-024-05553-5
dc.identifier.issn1479-5876
dc.identifier.scopus2-s2.0-85200509391
dc.identifier.urihttps://hdl.handle.net/11449/300276
dc.language.isoeng
dc.relation.ispartofJournal of Translational Medicine
dc.sourceScopus
dc.subjectDeconvolution
dc.subjectDNA methylation
dc.subjectEndothelial cells
dc.subjectEpigenetic silencing
dc.subjectImmune markers
dc.subjectInflammatory breast cancer
dc.subjectTumor microenvironment
dc.titleInflammatory breast cancer microenvironment repertoire based on DNA methylation data deconvolution reveals actionable targets to enhance the treatment efficacyen
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationa3cdb24b-db92-40d9-b3af-2eacecf9f2ba
relation.isOrgUnitOfPublication.latestForDiscoverya3cdb24b-db92-40d9-b3af-2eacecf9f2ba
unesp.author.orcid0000-0003-2681-0987[1]
unesp.author.orcid0000-0003-4637-5687[11]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Medicina, Botucatupt

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