| Tao Fan,Chaoqi Wang,Kun Zhang,Hong Yang,Juan Zhang,Wanyan Wu,Yingjie Song. Differentially expressed genes analysis and target genes prediction of miR-22 in breast cancer. Oncol Transl Med, 2021, 7: 59-64. |
| 乳腺癌mir-22的差异表达基因分析和靶基因预测 |
| Differentially expressed genes analysis and target genes prediction of miR-22 in breast cancer |
| Received:October 05, 2020 Revised:March 04, 2021 |
| DOI：10.1007/s10330-020-0458-8 |
| 中文关键词: 生物信息学，乳腺癌，mcf7细胞，mir-22 |
| 英文关键词: bioinformatics; breast cancer; MCF7 cells; MiR-22 |
| 基金项目: |
| Author Name | Affiliation | E-mail | | Tao Fan | Department of Oncology, The People''s Hospital of China Three Gorges University, The First People''s Hospital of Yichang | zhoujuying2017@163.com | | Chaoqi Wang | Department of Urinary Surgery, Affiliated Hospital of Inner Mongolia University for the Nationalities | | | Kun Zhang | Department of Orthopedics, The People''s Hospital of China Three Gorges University, The First People''s Hospital of Yichang | | | Hong Yang | Department of Oncology, The People''s Hospital of China Three Gorges University, The First People''s Hospital of Yichang | | | Juan Zhang | Department of Oncology, The People''s Hospital of China Three Gorges University, The First People''s Hospital of Yichang | | | Wanyan Wu | Department of Oncology, The People''s Hospital of China Three Gorges University, The First People''s Hospital of Yichang | | | Yingjie Song* | Department of General Surgery, The People''s Hospital of China Three Gorges University, The First People''s Hospital of Yichang | 1601340054@qq.com |
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| 中文摘要: |
| mir-22在乳腺癌中非常活跃，特别是在Luminalb和HER2亚型中。 然而，miR-22在乳腺癌中的详细潜在靶基因仍不完全清楚。 在本研究中，我们旨在通过生物信息学方法发现潜在的基因和mir-22的miRNA-DEGs网络。 方法：分析基因表达总括(Geo)数据库中的微阵列数据gse17508(包括3个mir-22基因敲除样本和3个对照。 用Geo2r检测了mir-22基因敲除样品与3个对照样品之间的差异表达基因(DEGS。 利用在线工具Metascape和String数据库分别进行了DEGS的GO（基因本体）功能富集分析和蛋白质-蛋白质相互作用(PPI)网络。 从mirnet数据库中获得了mir-22和DEGS网络。 采用Cytoscape软件构建和分析合并的miRNA-DEG网络。使用在线工具Mirdip4.1预测mir-22靶基因。 结果：在乳腺癌mcf7细胞中，敲除或双链mir-22之间鉴定出40个DEGS。 我们确定了两个枢纽，一个是parp14，samhd1，以及它相互作用的miRNAs，如mir-21-3p、mir-138-5p、mir-130a-3p、mir-155-5p、mir-452-5p和mir-124-3p。 另一个集线器是ccl5，tnfsf10，并与has-mir-146a-5p相互作用。 此外，上调的OAS1和下调的SESN3可能是mir-22-3p的潜在靶基因。 结论：某些差异基因和miRNAs可能是预测和治疗mir-22表达乳腺癌的潜在靶点。 |
| 英文摘要: |
| Objective miR-22 is highly active in breast cancer, especially in the luminal B and HER2 subtypes.
However, the detailed potential of the use of target genes for miR-22 in breast cancer are still unclear. In
this study, we aimed to discover potential genes and the miRNA-DEGs network of miR-22 in breast cancer
using bioinformatics approaches.
Methods Analysis of microarray data GSE17508 (including 3 miR-22 knockout samples and 3 controls)
obtained from the Gene Expression Omnibus (GEO) database was performed. Differentially expressed
genes (DEGs) between the miR-22 knockout samples and the three control samples were detected using
GEO2R. The gene ontology (GO) functional enrichment analysis and protein-protein interaction (PPI)
network of DEGs were performed using the online tool Metascape and STRING database, separately. The
miR-22 and DEG networks were obtained from the miRNet database. Cytoscape software was used to
construct and analyze a merged miRNA-DEG network. The online tools database, mirDIP 4.1, was used to
predict miR-22 target genes.
Results Certain DEGs and miRNAs may be potential targets for predicting and treating miR-22 expressed
breast cancer.
Conclusion We constructed a prognostic model of rectal adenocarcinomas based on four immunerelated
lncRNAs by analyzing the data based on TCGA database, with high prediction accuracy. We also
identified two biomarkers with poor prognosis (PXN-AS1 and AL158152.2) and one biomarker with good
prognosis (LINC01871) |
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