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pmid:34793290

A novel panel of blood-based microRNAs capable of discrimination between benign breast disease and breast cancer at early stages.

Hanieh Sadeghi · Aryan Kamal · Marzieh Ahmadi · Hadi Najafi · Ali Sharifi Zarchi · Peyman Haddad · Bahareh Shayestehpour · Leila Kamkar · Masoumeh Salamati · Loabat Geranpayeh · Marzieh Lashkari · Mehdi Totonchi

RNA biology · 2021 doi:10.1080/15476286.2021.1989218

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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title
A novel panel of blood-based microRNAs capable of discrimination between benign breast disease and breast cancer at early stages.
doi
10.1080/15476286.2021.1989218
pmid
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Hanieh Sadeghi
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Aryan Kamal
[2]
Marzieh Ahmadi
[3]
Hadi Najafi
[4]
Ali Sharifi Zarchi
[5]
Peyman Haddad
[6]
Bahareh Shayestehpour
[7]
Leila Kamkar
[8]
Masoumeh Salamati
[9]
Loabat Geranpayeh
[10]
Marzieh Lashkari
[11]
Mehdi Totonchi
journal
RNA biology
year
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.
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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.
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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.
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