Zipeng Qiao , Yongjun Tang , Shengle Li , Qiufeng Lao , Yu Xing , Qingquan Zhang , Songying Pan , Chaoyong Bei , Weiyi Pang , Hui Liu
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引用次数: 0
Abstract
Background
Long non-coding RNAs (lncRNAs) play crucial roles in the progression of breast cancer (BC). The lncRNA small nuclear RNA host gene 16 (SNHG16), represents a lncRNA associated with tumor development. This study focuses on SNHG16 and its regulatory role in BC progression, validated through microarray analysis and in vitro experiments.
Method
The GEO datasets GSE65194 and GSE61304 were used to identify differentially expressed lncRNAs, GSE41922 and GSE45666 for differentially expressed miRNAs, and GSE29431 and GSE42568 for differentially expressed mRNAs. The TCGA database was used to validate the genes identified in the previous analyses. The regulatory pathways of SNHG16 were identified through differential gene analysis, target gene prediction, functional enrichment analysis, and protein-protein interaction network analysis. RT-qPCR, Western blot, CCK-8, cell migration, and cell knockdown experiments were performed for validation.
Results
Our study found that elevated expression levels of SNHG16 were associated with BC cell proliferation and poor prognosis. According to an in vitro knockdown assay, SNHG16 silencing inhibits the progression of BC. SNHG16 was found to positively regulate AURKA levels as a competitive sponge for hsa-let-7b-5p.
Conclusion
The activity of the lncRNA SNHG16 can be triggered via the hsa-let-7b-5p/AURKA axes. These findings shed light on the novel molecular mechanisms underlying BC progression.
期刊介绍:
Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.