Year: 2023
Type: article
Study design: Observational Study
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.
Authors: Inés Gómez-Acebo, Javier Llorca, Jessica Alonso-Molero, Marta Díaz-Martínez, Beatriz Pérez-Gómez, Pilar Amiano, Thalía Belmonte, Antonio J. Molina, Rosana Burgui, Gemma Castaño-Vinyals, Víctor Moreno, Ana Molina-Barceló, Rafael Marcos-Gragera, Manolis Kogevinas, Marina Pollán, Trinidad Dierssen-Sotos
Institutions: Universidad de Cantabria, Instituto de Salud Carlos III, Instituto de Investigación Marqués de Valdecilla, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Centro Nacional de Epidemiología, Basque Government, Biogipuzkoa Health Research Institute, Universidad de Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias, Universidad de León, Instituto de Salud Pública de Navarra, Universitat Pompeu Fabra, Hospital Del Mar, Municipal Institute for Medical Research, Barcelona Institute for Global Health, Hospital del Mar Research Institute, Institut d'Investigació Biomédica de Bellvitge, Institut Català d'Oncologia, Universitat de Barcelona, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana, Generalitat de Catalunya, Departament de Salut, Institut d'Investigació Biomèdica de Girona
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,990
Funders: Centres de Recerca de Catalunya, European Commission, Generalitat de Catalunya, Ministerio de Economía y Competitividad, Generalitat Valenciana, Ministerio de Ciencia e Innovación, Universidad de Oviedo, Junta de Andalucía, Junta de Castilla y León, Fundación Marqués de Valdecilla, Agència de Gestió d'Ajuts Universitaris i de Recerca, Instituto de Salud Carlos III
Awards: G1203044189, G1274129560, G1317564010, G1343860231, G1418927621, G1492351230, G1563087297, G1677669578, G178315305, G1900157527, G2045172656, G2092426522, G2117726266, Salud urbana desde el enfoque de exposoma: evaluación de la exposición ambiental individualizada en un estudio de cohortes de población de adultos (GCAT), G2247562131, miRNAs circulantes y cáncer de mama: utilidad para el diagnóstico precoz y el pronóstico, G2377181310, G2553834064, G2620658983, G2739777946, G2957026379, G3405515844, G3423777635, G3559709381, G3583461342, G3635063837, G3646853989, G3771020718, G3807906117, G43203158, Identificación de marcadores de susceptibilidad genética útiles para el diseño de estrategias personalizadas de cribado, G4502495630, G4505522013, G4561499809, G4600474357, G4623508005, G521056402, G556022927, G5675886668, G5881411584, G5890873539, G5893827543, G589846866, G6260981759, G6328075693, G6386293926, G6508629688, G687257720, G7029154051, G7868651054, G7932779895, G8214743223, G8835261403, Perfil molecular del envejecimiento en la patogénesis y pronóstico de la leucemia linfática crónica
OpenAlex ID: W4388340870