Identification of cancer stemness related miRNA(s) using integrated bioinformatics analysis and in vitro validation

被引:0
作者
Kumari Sunita Prajapati
Mohd Shuaib
Prem Prakash Kushwaha
Atul Kumar Singh
Shsahank Kumar
机构
[1] Central University of Punjab,Molecular Signaling & Drug Development Laboratory, Department of Biochemistry, School of Basic and Applied Sciences
来源
3 Biotech | 2021年 / 11卷
关键词
Cancer stemness; miRNA; Breast cancer; Mammosphere; Phytochemical;
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学科分类号
摘要
The stemness property of cells allows them to sustain their lineage, differentiation, proliferation, and regeneration. MicroRNAs are small non-coding RNAs known to regulate the stemness property of cells by regulating the expression of stem cell signaling pathway proteins at mRNA level. Dysregulated miRNA expression and associated stem cell signaling pathways in normal stem cells give rise to cancer stem cells. Thus, the present study was aimed to identify the miRNAs involved in the regulation of major stem cell signaling pathways. The proteins (n = 36) involved in the signaling pathways viz., Notch, Wnt, JAK-STAT, and Hedgehog which is associated with the stemness property was taken into the consideration. The miRNAs, having binding sites for the targeted protein-encoding gene were predicted using an online tool (TargetScan) and the common miRNA among the test pathways were identified using Venn diagram analysis. A total of 22 common miRNAs (including 8 non-studied miRNAs) were identified which were subjected to target predictions, KEGG pathway, and gene ontology (GO) analysis to study their potential involvement in the stemness process. Further, we studied the clinical relevance of the non-studied miRNAs by performing the survival analysis and their expression levels in clinical breast cancer patients using the TCGA database. The identified miRNAs showed overall poor survival in breast cancer patients. The miR-6844 showed significantly high expression in various clinical subgroups of invasive breast cancer patients compared with the normal samples. The expression levels of identified miRNA(s) were validated in breast normal, luminal A, triple-negative, and stem cells in vitro models using qRT-PCR analysis. Further treatment with the phytochemical showed excellent down regulation of the lead miRNA. Overall the study first time reports the association of four miRNAs (miR-6791, miR-4419a, miR-4251 and miR-6844) with breast cancer stemness.
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