%0 Journal Article
%T The Expression and Prognostic Significance of Major MicroRNA Genes in Breast Cancer Based on Bioinformatics Analysis
%A Qiongge Wang
%A Jiuli Hu
%A Junwei Liang
%A Lanfang Liu
%A Shuoyang Xiao
%A Rui Wang
%A Chanchan Hu
%J Advances in Breast Cancer Research
%P 1-30
%@ 2168-1597
%D 2022
%I Scientific Research Publishing
%R 10.4236/abcr.2022.111001
%X <strong>Objective:</strong><span style=\"font-family:&quot;\"><span style=\"font-family:Verdana;\"> Breast Cancer (BC) is characterized by high complexity and
heterogeneity, and microRNA (miRNA) is bound up with the occurrence and </span><span style=\"font-family:Verdana;\">development of BC. In this study, we evaluated the
prognostic value of</span><span style=\"font-family:Verdana;\"> miR</span><span><span style=\"font-family:Verdana;\">NA in BC. </span><b><span style=\"font-family:Verdana;\">Background:</span></b><span style=\"font-family:Verdana;\"> Breast ductal and lobular cancers are the most </span></span><span style=\"font-family:Verdana;\">common types of Breast
Carcinomas (BC) and indicate the high complexity heterogeneity in this disease.
Each BC patient has unique morphological and </span><span style=\"font-family:Verdana;\">molecular
features. MicroRNAs (miRNAs) play a critical role in human </span><span style=\"font-family:Verdana;\">oncoge</span><span style=\"font-family:Verdana;\">nesis, progression, and prognosis. Our study aimed
to identify potential</span><span style=\"font-family:Verdana;\"> prognostic biomarkers of breast ductal and lobular
cancers to predict the overall </span><span><span style=\"font-family:Verdana;\">survival
outcome. </span><b><span style=\"font-family:Verdana;\">Methods:</span></b><span style=\"font-family:Verdana;\"> All analyzed miRNA sequencing and clinical </span></span><span style=\"font-family:Verdana;\">data
were obtained from the Genomic Data Commons Data Porta. edgeR package in R </span><span style=\"font-family:Verdana;\">software was used to analyze the differential
miRNA expression profiles</span><span style=\"font-family:Verdana;\">. Com</span><span style=\"font-family:Verdana;\">plete
survival information and differentially expressed miRNA expression</span><span style=\"font-family:Verdana;\"> were
obtained and the Caret package was used for random division of the samples
along with their profiles into two groups (training group and test group). We </span><span style=\"font-family:Verdana;\">performed univariate Cox regression analyses for
miRNAs in the training</span><span> </span><span style=\"font-family:Verdana;\">group.
We utilized three different web-based tools to identify the targe</span><span style=\"font-family:Verdana;\">t genes </span><span style=\"font-family:Verdana;\">of miRNAs and used the Perl language
to evaluate the target genes for</span><span><span style=\"font-family:Verdana;\"> miRNA
signature. STRING database was used to assess PPIs. </span><b><span
%K Breast Cancer
%K miRNA
%K Overall Survival
%K Biomarkers
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=113865