Identification of lymph node metastasis-related microRNAs in breast cancer using bioinformatics analysis. Issue 39 (25th September 2020)

• Record Type: Journal Article
• Authors: Gao, Guangyu; Shi, Xinya; Yao, Zhen; Shen, Jiaofeng; Shen, Liqin
• Other Names: Choudhery. Mahmood S. section editor.
• Is Part Of: Medicine. Volume 99:Issue 39(2020)
• Publication Date: 2020-09-25
• Subjects: bioinformatics -- breast cancer -- lymph node metastasis -- miRNA-mRNA network; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000022105
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract: Background: Lymph node metastasis is a significant problem in breast cancer, and its underlying molecular mechanism is still unclear. The purpose of this study is to research the molecular mechanism and to explore the key RNAs and pathways that mediate lymph node metastasis in breast cancer. Methods: GSE100453 and GSE38167 were downloaded from the Gene Expression Omnibus (GEO) database and 569 breast cancer statistics were also downloaded from the TCGA database. Differentially expressed miRNAs were calculated by using R software and GEO2R. Gene ontology and Enriched pathway analysis of target mRNAs were analyzed by using the Database for Database of Annotation Visualization and Integrated Discovery (DAVID) and R software. The protein–protein interaction (PPI) network was performed according to Metascape, String, and Cytoscape software. Results: In total, 6 differentially expressed miRNAs were selected, and 499 mRNAs were identified after filtering. The research of the Kyoto Encyclopedia of Genes and Genomes (KEGG) demonstrated that mRNAs enriched in certain tumor pathways. Also, certain hub mRNAs were highlighted after constructed and analyzed the PPI network. A total of 3 out of 6 miRNAs had a significant relationship with the overall survival ( P < .05) and showed a good ability of risk prediction model of over survival. Conclusions: By utilizing bioinformatics analyses, differently expressed miRNAs were identified and constructed a complete gene network. Several potential mechanisms and therapeutic and prognostic targets of lymph node metastasis were also demonstrated in breast cancer. Abstract : Supplemental Digital Content is available in the text