A DNA methylation-based gene signature can predict triple-negative breast cancer diagnosis

dc.contributor.authorMendaza Lainez, Saioa
dc.contributor.authorGuerrero Setas, David
dc.contributor.authorMonreal Santesteban, Iñaki
dc.contributor.authorUlazia Garmendia, Ane
dc.contributor.authorCórdoba Iturriagagoitia, Alicia
dc.contributor.authorCruz, Susana de la
dc.contributor.authorMartín Sánchez, Esperanza
dc.contributor.departmentCiencias de la Saludes_ES
dc.contributor.departmentOsasun Zientziakeu
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.date.accessioned2022-04-05T11:01:07Z
dc.date.available2022-04-05T11:01:07Z
dc.date.issued2021
dc.description.abstractTriple-negative breast cancer (TNBC) is the most aggressive breast cancer (BC) subtype and lacks targeted treatment. It is diagnosed by the absence of immunohistochemical expression of several biomarkers, but this method still displays some interlaboratory variability. DNA methylome aberrations are common in BC, thereby methylation profiling could provide the identification of accurate TNBC diagnosis biomarkers. Here, we generated a signature of differentially methylated probes with class prediction ability between 5 non-neoplastic breast and 7 TNBC tissues (error rate = 0.083). The robustness of this signature was corroborated in larger cohorts of additional 58 non-neoplastic breast, 93 TNBC, and 150 BC samples from the Gene Expression Omnibus repository, where it yielded an error rate of 0.006. Furthermore, we validated by pyrosequencing the hypo-methylation of three out of 34 selected probes (FLJ43663, PBX Homeobox 1 (PBX1), and RAS P21 protein activator 3 (RASA3) in 51 TNBC, even at early stages of the disease. Finally, we found significantly lower methylation levels of FLJ43663 in cell free-DNA from the plasma of six TNBC patients than in 15 healthy donors. In conclusion, we report a novel DNA methylation signature with potential predictive value for TNBC diagnosis.en
dc.description.sponsorshipThis research was funded by a competitive call of the Interreg Sudoe European Regional Development Fund (ONCONET, GT 1.2.) and by the Breast Cancer Patients’ Association of Navarre (SARAY). E.M.-S. received a grant from the Spanish Ministry of Science, Innovation and Universities (PTA2015-11895-I). S.M. was supported by a postdoctoral grant from Public University of Navarre (UPNA).
dc.format.extent14 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.3390/biomedicines9101394
dc.identifier.issn2227-9059
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/42653
dc.language.isoengen
dc.publisherMDPI
dc.relation.ispartofBiomedicines, 9 (10)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//PTA2015-11895-I/ES/
dc.relation.publisherversionhttps://doi.org/10.3390/biomedicines9101394
dc.rights© 2021 by the authors. Creative Commons Attribution 4.0 Internationalen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectDiagnosisen
dc.subjectDiagnosis signatureen
dc.subjectDNA methylationen
dc.subjectEpigenetic biomarkeren
dc.subjectTriple-negative breast canceren
dc.titleA DNA methylation-based gene signature can predict triple-negative breast cancer diagnosisen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationab42c33f-1671-49dc-ab31-89b9cac82366
relation.isAuthorOfPublication.latestForDiscoveryab42c33f-1671-49dc-ab31-89b9cac82366

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