Identification of circular RNAs as a promising new class of diagnostic biomarkers for human breast cancer
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Lingshuang Lü1,*, Jian Sun2,*, Peiyi Shi1, Weimin Kong2, Kun Xu3, Biyu He3, Simin Zhang1,3 and Jianming Wang1
1Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
2Department of Thoracic Surgery, The First People′s Hospital of Yancheng City, Yancheng, 224001, China
3Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
*These authors have contributed equally to this work
Jianming Wang, email: [email protected]
Keywords: breast cancer, RNA, noncoding RNA, circRNA, biomarker
Received: December 14, 2016 Accepted: April 03, 2017 Published: April 21, 2017
Endogenous noncoding circular RNAs (circRNAs) have gained attention for their involvement in carcinogenesis, but their expression pattern in breast cancer has remained largely unknown. In this two-stage study, we first used an Arraystar Human circRNA Array to construct a genome-wide circRNA profile. We then selected candidate circRNAs for validation using a quantitative real-time polymerase chain reaction system. CircRNA/miRNA interactions were predicted and sequence analyses were performed. Among 1155 differentially expressed circRNAs, 715 were upregulated and 440 were downregulated in breast cancer tissues. The validation study demonstrated that hsa_circ_103110, hsa_circ_104689 and hsa_circ_104821 levels were elevated in breast cancer tissues, whereas hsa_circ_006054, hsa_circ_100219 and hsa_circ_406697 were downregulated. These circRNAs targeted complementary miRNA response elements. The area under the receiver operating characteristic curve for distinguishing breast cancer was 0.82 (95% CI: 0.73-0.90) when hsa_circ_006054, hsa_circ_100219 and hsa_circ_406697 were used in combination. This study provides evidence that circRNAs are differentially expressed in breast cancer and are important in carcinogenesis because they participate in cancer-related pathways and sequester miRNAs.
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