TITLE:
The Expression and Prognostic Significance of Major MicroRNA Genes in Breast Cancer Based on Bioinformatics Analysis
AUTHORS:
Qiongge Wang, Jiuli Hu, Junwei Liang, Lanfang Liu, Shuoyang Xiao, Rui Wang, Chanchan Hu
KEYWORDS:
Breast Cancer, miRNA, Overall Survival, Biomarkers
JOURNAL NAME:
Advances in Breast Cancer Research,
Vol.11 No.1,
December
15,
2021
ABSTRACT: 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 training group.
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. Results: A total of 304 differentially
expressed miRNAs were identified (213 were upregulated and 91 were downregulated). Among these, nine
(hsa-miR-204-5p, hsa-miR-7706, hsa-miR-1247-3p, hsa-miR-20b-3p, hsa-miR-605-5p,
hsa-miR-615-3p, hsa-miR-4652-5p,
hsa-miR-9-5p, hsa-miR-2115-5p) miRNAs which remarkably correlated with overall survival rate
of BC were performed by Cox regression analysis and miRNA signature risk
score built. And then we performed the model
of BC patients for three years survival risk, the AUCs of ROC were
0.804, 0.667, and 0.739 in the training, test, and entire groups, respectively.
miRNAs were differentially expressed in tumor-related biological processes and pathways by functional enrichment and bioinformatic analysis. Conclusion: The current study provided novel insights
into the miRNA-based mRNA network in BC. The
nine miRNA and ten hub genes may be
independent prognostic signatures for survival prediction in BC patients.