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Circulating miRNAs as Novel Non-Invasive Biomarkers to Aid the Early Diagnosis of Suspicious Breast Lesions for Which Biopsy Is Recommended

Authors :
Rosaria Orlandi
Massimiliano Gennaro
Mario P. Colombo
Marialuisa Sensi
Mara Lecchi
Marilena V. Iorio
Loris De Cecco
Chiara Gargiuli
Gabriella Sozzi
Biagio Paolini
Paolo Verderio
Silvia Veneroni
E. Mancinelli
Marta Giussani
Catherine Depretto
Chiara Maura Ciniselli
M. Dugo
Elda Tagliabue
Claudio Ferranti
Gianfranco Scaperrotta
Giulia Cosentino
Andrea Mariancini
Source :
Cancers, Volume 13, Issue 16, Cancers, Vol 13, Iss 4028, p 4028 (2021)
Publication Year :
2021
Publisher :
Multidisciplinary Digital Publishing Institute, 2021.

Abstract

Simple Summary In population-based screens, tissue biopsy remains the standard practice for women with imaging that suggests breast cancer. We examined circulating microRNAs as minimally invasive diagnostic biomarkers to discriminate malignant from benign breast lesions. A retrospective cohort of plasma samples divided into training and testing sets and a prospective cohort of women with suspicious imaging findings who underwent tissue biopsy were investigated through a global microRNA profile by OpenArray. Seven signatures, involving 5 specific miRNAs (miR-625, miR-423-5p, miR-370-3p, miR-181c, and miR-301b), were identified and validated in the testing set. Among the 7 signatures, the discriminatory performances of 5 of them were confirmed in the prospective cohort. Abstract In population-based screens, tissue biopsy remains the standard practice for women with imaging that suggests breast cancer. We examined circulating microRNAs as minimally invasive diagnostic biomarkers to discriminate malignant from benign breast lesions. miRNAs were analyzed by OpenArray in a retrospective cohort of plasma samples including 100 patients with malignant (T), 89 benign disease (B), and 99 healthy donors (HD) divided into training and testing sets and a prospective cohort (BABE) of 289 women with suspicious imaging findings who underwent tissue biopsy. miRNAs associated with disease status were identified by univariate analysis and then combined into signatures by multivariate logistic regression models. By combining 16 miRNAs differentially expressed in the T vs. HD comparison, 26 signatures were also able to significantly discriminate T from B disease. Seven of them, involving 5 specific miRNAs (miR-625, miR-423-5p, miR-370-3p, miR-181c, and miR-301b), were statistically validated in the testing set. Among the 7 signatures, the discriminatory performances of 5 were confirmed in the prospective BABE Cohort. This study identified 5 circulating miRNAs that, properly combined, distinguish malignant from benign breast disease in women with a high likelihood of malignancy.

Details

Language :
English
ISSN :
20726694
Database :
OpenAIRE
Journal :
Cancers
Accession number :
edsair.doi.dedup.....a74ec960e1f23db26c84287713bad28a
Full Text :
https://doi.org/10.3390/cancers13164028