Combination of circulating miR-145-5p/miR-191-5p as biomarker for breast cancer detection
Author(s) -
Yeldar Ashirbekov,
Arman Abaildayev,
Nazgul Omarbayeva,
Dauren Botbayev,
Ayaz M. Belkozhayev,
Anel Askandirova,
Alena S. Neupokoyeva,
Gulzhakhan Utegenova,
Kamalidin Sharipov,
N. А. Аitkhozhinа
Publication year - 2020
Publication title -
peerj
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.927
H-Index - 70
ISSN - 2167-8359
DOI - 10.7717/peerj.10494
Subject(s) - kazakh , breast cancer , medicine , microrna , oncology , biomarker , taqman , cancer , real time polymerase chain reaction , biology , gene , genetics , philosophy , linguistics
Background Breast cancer (BC) is the most common cancer among women worldwide. At present, there is a need to search for new, accurate, reliable, minimally invasive and cheap biomarkers in addition to existing methods for the diagnosis and prognosis of BC. The main goal of this study was to test the diagnostic value of six circulating miRNAs in Kazakh women. Materials and methods TaqMan-based miRNA profiling was conducted using plasma specimens from 35 BC women patients and 33 healthy women samples (control group). Results The level of all seven miRNAs (including endogenous control) normalized by synthetic cel-miR-39 were significantly elevated in the group of BC patients. Normalization using miR-222-3p as endogenous control reduced differences in level of miRNAs between groups; as a result, only three miRNAs were significantly upregulated in the group of BC patients—miR-145-5p ( P = 6.5e−12), miR-191-5p ( P = 3.7e−10) and miR-21-5p ( P = 0.0034). Moreover, ROC analysis showed that the use of miR-145-5p and miR-191-5p, both individually (AUC = 0.931 and 0.904, respectively) or in combination (AUC = 0.984), allows to accurately differentiate BC patients from healthy individuals. Conclusions Two plasma miRNAs—miR-145-5p and miR-191-5p—are potential biomarkers for diagnosis of BC in the Kazakh population. The findings need to be further substantiated using a more representative sample.
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