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Circulating miRNAs signature on breast cancer: the MCC-Spain project

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dc.contributor.author Gómez-Acebo, Inés
dc.contributor.author Llorca, Javier
dc.contributor.author Alonso-Molero, Jéssica
dc.contributor.author Díaz-Martínez, Marta
dc.contributor.author Pérez-Gómez, Beatriz
dc.contributor.author Amiano, Pilar
dc.contributor.author Belmonte, Thalía
dc.contributor.author Molina, Antonio J.
dc.contributor.author Burgui, Rosana
dc.contributor.author Castaño Vinyals, Gemma
dc.contributor.author Moreno, Víctor
dc.contributor.author Molina-Barceló, Ana
dc.contributor.author Marcos-Gragera, Rafael
dc.contributor.author Kogevinas, Manolis
dc.contributor.author Pollán, Marina
dc.contributor.author Dierssen Sotos, Trinidad
dc.date.accessioned 2024-02-16T07:49:34Z
dc.date.available 2024-02-16T07:49:34Z
dc.date.issued 2023
dc.identifier.citation Gómez-Acebo I, Llorca J, Alonso-Molero J, Díaz-Martínez M, Pérez-Gómez B, Amiano P, Belmonte T, Molina AJ, Burgui R, Castaño-Vinyals G, Moreno V, Molina-Barceló A, Marcos-Gragera R, Kogevinas M, Pollán M, Dierssen-Sotos T. Circulating miRNAs signature on breast cancer: the MCC-Spain project. Eur J Med Res. 2023 Nov 4;28(1):480. DOI: 10.1186/s40001-023-01471-2
dc.identifier.issn 0949-2321
dc.identifier.uri http://hdl.handle.net/10230/59117
dc.description.abstract Purpose: To build models combining circulating microRNAs (miRNAs) able to identify women with breast cancer as well as different types of breast cancer, when comparing with controls without breast cancer. Method: miRNAs analysis was performed in two phases: screening phase, with a total n = 40 (10 controls and 30 BC cases) analyzed by Next Generation Sequencing, and validation phase, which included 131 controls and 269 cases. For this second phase, the miRNAs were selected combining the screening phase results and a revision of the literature. They were quantified using RT-PCR. Models were built using logistic regression with LASSO penalization. Results: The model for all cases included seven miRNAs (miR-423-3p, miR-139-5p, miR-324-5p, miR-1299, miR-101-3p, miR-186-5p and miR-29a-3p); which had an area under the ROC curve of 0.73. The model for cases diagnosed via screening only took in one miRNA (miR-101-3p); the area under the ROC curve was 0.63. The model for disease-free cases in the follow-up had five miRNAs (miR-101-3p, miR-186-5p, miR-423-3p, miR-142-3p and miR-1299) and the area under the ROC curve was 0.73. Finally, the model for cases with active disease in the follow-up contained six miRNAs (miR-101-3p, miR-423-3p, miR-139-5p, miR-1307-3p, miR-331-3p and miR-21-3p) and its area under the ROC curve was 0.82. Conclusion: We present four models involving eleven miRNAs to differentiate healthy controls from different types of BC cases. Our models scarcely overlap with those previously reported.
dc.description.sponsorship This study was partially funded by the “Accion Transversal del Cancer,” approved on the Spanish Ministry Council on the 11 October 2007, Instituto de Salud Carlos III-FEDER (PI08/1770, PI08/0533, PI08/1359, PS09/00773, PS09/01286, PS09/01903, PS09/02078, PS09/01662, PI11/01889, PI11/02213, PI12/00488, PI12/01270, PI12/00715, PI14/01219, PI14/0613, and PI17/01388, PI18/00171), Fundación Marqués de Valdecilla (API 10/09), the ICGC International Cancer Genome Consortium CLL [The ICGC CLL-Genome Project was funded by Spanish Ministerio de Economía y Competitividad (MINECO) through the Instituto de Salud Carlos III (ISCIII) and Red Temática de Investigación del Cáncer (RTICC) del ISCIII (RD12/0036/0036)], the Junta de Castilla y León (LE22A10-2), the Consejería de Salud of the Junta de Andalucía (PI-0571-2009, PI-0306-2011, and salud201200057018tra), the Conselleria de Sanitat of the Generalitat Valenciana (AP_061/10), the Recercaixa (2010ACUP 00310), the Regional Government of the Basque Country, the Consejería de Sanidad de la Región de Murcia, by the European Commission grants FOOD-CT-2006-036224-HIWATE, the Spanish Association Against Cancer (AECC) Scientific Foundation, by the Catalan Government—Agency for Management of University and Research Grants (AGAUR) grants 2017SGR723 and 2014SGR850, the Fundación Caja de Ahorros de Asturias, and the University of Oviedo. ISGlobal acknowledges support from the Spanish Ministry of Science and Innovation through the “Centro de Excelencia Severo Ochoa 2019–2023” Program (CEX2018-000806-S) and support from the Generalitat de Catalunya through the CERCA Program. AP-C was supported by the MINECO (Ministry of Economy in Spain) Grant no. PRE2019-089038, fellowship.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher BioMed Central
dc.relation.ispartof Eur J Med Res. 2023 Nov 4;28(1):480
dc.rights © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title Circulating miRNAs signature on breast cancer: the MCC-Spain project
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1186/s40001-023-01471-2
dc.subject.keyword Breast cancer
dc.subject.keyword Diagnosis
dc.subject.keyword Prognosis
dc.subject.keyword Screening
dc.subject.keyword miRNA
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/CEX2018-000806-S
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PRE2019-089038
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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