1st International and 10th National Iranian Conference on Bioinformatics
Identification of effective miRNAs in breast cancer by bioinformatics analysis
Paper ID : 1158-ICB10
Authors:
Dorsa Hayati *, Hassan Rajabi-Maham, Leila Kainmehr
گروه علوم جانوری و زیست دریا، دانشکده علوم و فناوری زیستی، دانشگاه شهید بهشتی، تهران، ایران
Abstract:
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 various genes, tumor progress, and breast cancer metastasis. The Gene Expression Omnibus was used to download the main data set of GSE4566 and GSE26659. The package of LIMMA of R software was applied to identify the expressed microRNAs differentially among 178 patients with breast tumor and 32 controls. Cytoscape imagined the interaction networks of gene-miRNA and then analyzed using MCODE (Molecular Complex Detection). The candida miRNAs were chosen and investigated by the dataset of TCGA (The Cancer Genome Atlas) and the plotter of KM (Kaplan–Meier) was used to analyze the prognostic values and expression levels of the candida miRNAs. Moreover, KEGG analysis was applied to detect the common pathways that the candida miRNAs were contained. Generally, 35 down-regulated and 18 up-regulated DE-microRNAs were recognized. Additionally, eight candida miRNAs with four down-regulated miRNAs (hsa-miR-143, hsa-miR-125b, hsa-miR-497, hsa-miR-26a) and four up-regulated miRNAs (hsa-miR-155, hsa-miR-375, hsa-miR-203a, hsa-miR-21) 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 ordinary in the majority of five pathways that detected using KEGG for instance p53 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-375, hsa-miR-203a, and has-miR-21 could be effective microRNAs in breast cancer and might be applied in breast cancer as biomarkers.
Keywords:
Breast Cancer, signaling pathway, networks of gene-miRNA.
Status : Paper Accepted (Poster Presentation)