机构：[1]Department of Surgical Nursing, Hebei University of Chinese Medicine, Shijiazhuang 050017, China[2]Research Center, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050017, China河北医科大学第四医院科研中心医技科室[3]Department of Biological Chemistry,Hebei University of Chinese Medicine, Shijiazhuang 050017, China[4]Department of Basal Nursing,Hebei University of Chinese Medicine, Shijiazhuang 050017, China[5]Department of Laboratory Medical Science,Hebei University of Chinese Medicine, Shijiazhuang 050017, China[6]Department of Gynecological Pediatrics Nursing, Hebei University of Chinese Medicine, Shijiazhuang 050017, China[7]Department of Histology and Embryology, Hebei Medical University, Shijiazhuang 050017, China
Background: Accumulating evidences indicated that some miRNAs are dysregulated in breast cancer and involved in cell growth, migration and invasion, differentiation, cell cycle arrest, apoptosis, and autophagy. Our study aims to identify a novel set of biomarkers for predicting the prognosis of breast cancer patients. Methods: We downloaded clinical information and raw sequencing data from The Cancer Genome Atlas (TCGA) database. We selected samples with miRNA sequencing data and relevant clinical prognostic data for subsequent analysis. The association between miRNA and prognosis function was analyzed by Cox regression analysis. The potential biofunctions of target miRNAs were investigated through bioinformatic analysis. Results: We identified 84 differentially expressed miRNAs (DEmiRNAs), among them, 17 were downregulated and 67 were upregulated. We used Kaplan-Meier survival analysis to evaluate the prognostic value of three miRNAs (mir-105-1, mir-301b and mir-1258). We also found that the three-miRNA signature is independent prognostic factors for breast cancer by using Cox regression analysis. It might be participated in different signaling pathways associated with cancer by using functional enrichment analysis, including adherens junction, autophagy, and TGF-beta signaling pathway, ErbB signaling pathway, FoxO signaling pathway. Conclusions: Taken together, three-miRNA signature might be used as a potential predicting prognostic biomarker in breast cancer.
基金：
This work was supported by Hebei Provincial Health Department [20190088] and Hebei Provincial Administration of Traditional Chinese Medicine [2019133].
第一作者机构：[1]Department of Surgical Nursing, Hebei University of Chinese Medicine, Shijiazhuang 050017, China[2]Research Center, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050017, China
通讯作者：
通讯机构：[2]Research Center, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050017, China[*1]Research Center, the Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang 050017, China.
推荐引用方式(GB/T 7714)：
Sang Meijie,Li Aiying,Wang Xu,et al.Identification of three miRNAs signature as a prognostic biomarker in breast cancer using bioinformatics analysis[J].TRANSLATIONAL CANCER RESEARCH.2020,9(3):1884-1893.doi:10.21037/tcr.2020.02.21.
APA：
Sang, Meijie,Li, Aiying,Wang, Xu,Chen, Can,Liu, Kun...&Sang, Meixiang.(2020).Identification of three miRNAs signature as a prognostic biomarker in breast cancer using bioinformatics analysis.TRANSLATIONAL CANCER RESEARCH,9,(3)
MLA：
Sang, Meijie,et al."Identification of three miRNAs signature as a prognostic biomarker in breast cancer using bioinformatics analysis".TRANSLATIONAL CANCER RESEARCH 9..3(2020):1884-1893
