Identification of effective miRNAs in breast cancer by bioinformatics analysis

Breast cancer is the greatest reason for deaths associated with cancer among women. In the latest decades,miRNAs (microRNAs) have been reported to partake in the regulation of tumorigenesis-associated variousgenes, tumor progress, and breast cancer metastasis. The Gene Expression Omnibus was used to downloadthe main data set of GSE۴۵۶۶ and GSE۲۶۶۵۹. The package of LIMMA of R software was applied to identifythe expressed microRNAs differentially among ۱۷۸ patients with breast tumor and ۳۲ controls. Cytoscapeimagined the interaction networks of gene-miRNA and then analyzed using MCODE (Molecular ComplexDetection). The candida miRNAs were chosen and investigated by the dataset of TCGA (The Cancer GenomeAtlas) and the plotter of KM (Kaplan–Meier) was used to analyze the prognostic values and expression levelsof the candida miRNAs. Moreover, KEGG analysis was applied to detect the common pathways that thecandida miRNAs were contained. Generally, ۳۵ down-regulated and ۱۸ up-regulated DE-microRNAs wererecognized. Additionally, eight candida miRNAs with four down-regulated miRNAs (hsa-miR-۱۴۳, hsamiR-۱۲۵b, hsa-miR-۴۹۷, hsa-miR-۲۶a) and four up-regulated miRNAs (hsa-miR-۱۵۵, hsa-miR-۳۷۵, hsamiR-۲۰۳a, hsa-miR-۲۱) were recognized in the network of microRNA target gene and KM found their OS(overall survival) in breast cancer significantly. Lastly, three recognized miRNAs possess the most ordinaryin the majority of five pathways that detected using KEGG for instance p۵۳ signaling pathway and cell cycle.This investigation demonstrated that these five pathways might be significant in the progress of breast cancer.The three miRNAs of hsa-miR-۳۷۵, hsa-miR-۲۰۳a, and has-miR-۲۱ could be effective microRNAs in breastcancer and might be applied in breast cancer as biomarkers.

کلیدواژه ها:

Breast Cancer ، signaling pathway ، networks of gene-miRNA