An integrative bioinformatics analysis identified miR-375 as a candidate key regulator of malignant breast cancer

被引:0
|
作者
Jiaxuan Liu
Ping Wang
Ping Zhang
Xinyu Zhang
Hang Du
Qiang Liu
Bo Huang
Caiyun Qian
Shuhua Zhang
Weifeng Zhu
Xiaohong Yang
Yingqun Xiao
Zhuoqi Liu
Daya Luo
机构
[1] Nanchang University,Queen Mary School
[2] Nanchang University,Department of Pathology, The Affiliated Infectious Diseases Hospital
[3] Chinese Academy of Medical Sciences and Peking Union Medical College,National Cancer Center/Cancer Hospital
[4] Nanchang University,Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences
[5] Jiangxi Provincial People’s Hospital,Jiangxi Cardiovascular Research Institute
[6] Nanchang University,Jiangxi Province Key Laboratory of Tumor Pathogens and Molecular Pathology
来源
关键词
Breast cancer; miR-375; Bioinformatics; Biological pathway;
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学科分类号
摘要
MicroRNAs (miRNAs) are key regulators that play important biological roles in carcinogenesis and are promising biomarkers for cancer diagnosis and therapy. hsa-miR-375-3p (miR-375) has been suggested to serve as a tumor suppressor or oncogene in various tumor types; however, its specific expression and potential regulatory role in malignant breast cancer remain unclear. In this study, the results from noncoding RNA microarray analysis indicated that the miR-375 expression level is significantly decreased in malignant basal-like breast cancer compared with luminal-like breast cancer. A total of 1895 co-downregulated and 1645 co-upregulated genes were identified in miR-375 mimic-transfected basal-like breast cancer cell lines. Predicted miR-375 targets were obtained from the online databases TargetScan and DIANA-microT-CDS. Combined KEGG enrichment analysis for coregulated genes and predicted miR-375 targets provided information and revealed differences in potential dynamic signaling pathways regulated by miR-375 and also indicated specific regulatory pathways, such as RNA transport and processing, in basal-like breast cancer. Additionally, gene expression microarray analysis accompanied by UALCAN analysis was performed to screen upregulated genes in the basal-like subtype. Four potential key genes, including LDHB, CPNE8, QKI, and EIF5A2, were identified as candidate target genes of miR-375. Therefore, the present study demonstrated that miR-375 may be a potential key regulator and provide a promising direction for diagnostic and therapeutic developments for malignant breast cancer.
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页码:335 / 346
页数:11
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