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circRNA-associated ceRNA network construction reveals the circRNAs involved in the progression and prognosis of breast cancer
Authors:Xiaoran Ma  Cun Liu  Chundi Gao  Jie Li  Jing Zhuang  Lijuan Liu  Huayao Li  Xue Wang  Xiaoming Zhang  Shixia Dong  Chao Zhou  Changgang Sun
Institution:1. College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China;2. Departmen of Oncology, Weifang Traditional Chinese Hospital, Weifang, Shandong, China

Department of Oncology, Affilited Hospital of Weifang Medical University, Weifang, Shandong, China;3. Departmen of Oncology, Weifang Traditional Chinese Hospital, Weifang, Shandong, China;4. College of Basic Medicine, Qingdao University, Qingdao, Shandong, China;5. College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China;6. Clinical Medical Colleges, Weifang Medical University, Weifang, Shandong, China;7. Department of Basic Medical Science, Qingdao University, Qingdao, 266071 China

Abstract:Recently, increasing evidences show that circular RNAs (circRNAs) are important regulators of various diseases, especially cancer. However, the regulatory role and the potential mechanism of action of circRNAs in breast cancer remain largely unknown. In this study, weighted gene co-expression network analysis was conducted with the differentially expressed miRNAs and mRNAs in breast cancer from The Cancer Genome Atlas database to identify the key modules associated with the carcinogenesis of breast cancer. In the significant turquoise and brown modules, 22 miRNAs and 1877 mRNAs were identified, respectively. Then, We compared and predicted the target genes and performed survival analysis to identify the miRNAs and mRNAs related to the prognosis of breast cancer. A circRNA-related competitive endogenous RNA network was identified by database co-screening, and deleted in liver cancer 1 (DLC1) was identified as a key gene. Finally, to assess how genes in key modules and key genes contribute to the development of breast cancer, relevant pathway information was obtained through DAVID and Gene Set Enrichment Analysis. These data demonstrated that three circRNAs (hsa-circ-0083373, hsa-circ-0083374, and hsa-circ-0083375) that regulate DLC1 expression via hsa-mir-511 and are involved in the pathogenesis and development of breast cancer.
Keywords:breast cancer  ceRNA network  circRNAs  Gene Set Enrichment Analysis  Weighted gene co-expression network analysis
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