Objective: Breast Cancer (BC) is characterized by high complexity and
heterogeneity, and microRNA (miRNA) is bound up with the occurrence and development of BC. In this study, we evaluated the
prognostic value of miRNA in BC. Background: Breast ductal and lobular cancers are the most common types of Breast
Carcinomas (BC) and indicate the high complexity heterogeneity in this disease.
Each BC patient has unique morphological and molecular
features. MicroRNAs (miRNAs) play a critical role in human oncogenesis, progression, and prognosis. Our study aimed
to identify potential prognostic biomarkers of breast ductal and lobular
cancers to predict the overall survival
outcome. Methods: All analyzed miRNA sequencing and clinical data
were obtained from the Genomic Data Commons Data Porta. edgeR package in R software was used to analyze the differential
miRNA expression profiles. Complete
survival information and differentially expressed miRNA expression 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 performed univariate Cox regression analyses for
miRNAs in the traininggroup.
We utilized three different web-based tools to identify the target genes of miRNAs and used the Perl language
to evaluate the target genes for miRNA
signature. STRING database was used to assess PPIs.
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