Abstract | BACKGROUND AND OBJECTIVES: METHODS: Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was performed to detect levels of five circRNAs (circ_0000501, circ_0000745, circ_0001531, circ_0001640 and circ_0001978) in 129 patients with breast cancer, 19 patients with benign breast tumor and 13 healthy controls. The diagnostic accuracy of circRNAs was assessed using the receiver operating characteristic (ROC) curve. A circRNA- miRNA- mRNA network was constructed based on bioinformatic analysis. RESULTS: QRT-PCR validated that circ_0000745, circ_0001531 and circ_0001640 were upregulated in breast cancer, compared with benign tumor and healthy control. ROC curve analysis revealed that circ_0000745, circ_0001531 and circ_0001640 had good diagnostic potential. Notably, a signature comprising the three circRNAs showed better diagnostic potential, with the area under curve (AUC) of 0.9130 (P < 0.0001). And a circRNA- miRNA- mRNA network revealed that the circRNAs could participate in complex regulated network and thus involve in cancer development and progression. CONCLUSIONS: Taken together, our findings support the potential of circ_0000745, circ_0001531, circ_0001640 and the three- circRNA signature as biomarkers for breast cancer diagnosis.
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Authors | Ya-Wen Wang, Yao Xu, Yan-Yan Wang, Jiang Zhu, Hai-Dong Gao, Rong Ma, Kai Zhang |
Journal | Experimental and molecular pathology
(Exp Mol Pathol)
Vol. 121
Pg. 104661
(08 2021)
ISSN: 1096-0945 [Electronic] Netherlands |
PMID | 34139239
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | Copyright © 2021 Elsevier Inc. All rights reserved. |
Chemical References |
- Biomarkers, Tumor
- MicroRNAs
- RNA, Circular
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Topics |
- Biomarkers, Tumor
(blood, genetics)
- Breast Neoplasms
(blood, diagnosis, genetics)
- Case-Control Studies
- Female
- Humans
- MicroRNAs
(blood, genetics)
- Middle Aged
- RNA, Circular
(blood, genetics)
- ROC Curve
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