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A Novel Panel of Blood-Based Micrornas Capable of Discrimination Between Benign Breast Disease and Breast Cancer at Early Stages Publisher Pubmed



Sadeghi H1 ; Kamal A2 ; Ahmadi M1 ; Najafi H1 ; Sharifi Zarchi A3 ; Haddad P4 ; Shayestehpour B1 ; Kamkar L5 ; Salamati M6 ; Geranpayeh L7 ; Lashkari M4 ; Totonchi M1
Authors
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Authors Affiliations
  1. 1. Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, Tehran, Acecr, Iran
  2. 2. Department of Clinical Bioinformatics, Saarland University, Saarbrucken, Germany
  3. 3. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
  4. 4. Radiation Oncology Research Center, Iran Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
  6. 6. Department of Reproductive Imaging, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, Tehran, Acecr, Iran
  7. 7. Department of Surgery, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran

Source: RNA Biology Published:2021


Abstract

Breast cancer (BC) as a leading cause of cancer death among women, exhibits a wide range of genetic heterogeneity in affected individuals. Satisfactory management of BC depends on early diagnosis and proper monitoring of patients’ response to therapy. In this study, we aimed to assess the relation between the expression patterns of blood-based microRNAs (miRNAs) with demographic characteristics of the patients with BC in an attempt to find novel diagnostic markers for BC with acceptable precision in clinical applications. To this end, we performed comprehensive statistical analysis of the data of the Cancer Genome Atlas (TCGA) database and the blood miRNome dataset (GSE31309). As a result, 21 miRNAs were selected for experimental verification by quantitative RT-PCR on blood samples of 70 BC patients and 60 normal individuals (without any lesions or benign breast diseases). Statistical one-way ANOVA revealed no significant difference in the blood levels of the selected miRNAs in BC patients compared to any lesions or benign breast diseases. However, the multi-marker panel consisting of hsa-miR-106b-5p, −126-3p, −140-3p, −193a-5p, and −10b-5p could detect early-stages of BC with 0.79 sensitivity, 0.86 specificity and 0.82 accuracy. Furthermore, this multi-marker panel showed the potential of detecting benign breast diseases from BC patients with 0.67 sensitivity, 0.80 specificity, and 0.74 accuracy. In conclusion, these data indicate that the present panel might be considered an asset in detecting benign breast disease and BC. © 2021 Informa UK Limited, trading as Taylor & Francis Group.