Identification of carcinogenic potential-associated molecular mechanisms in CD133+ A549 cells based on microRNA profiles
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This study aimed to identify carcinogenic potential-related molecular mechanisms in cancer stem cells (CSCs) in lung cancer. CD133+ and CD133− subpopulations were sorted from A549 cells using magnetic-activated cell sorting. The abilities to form sphere and clone, proliferate, migrate, and invade were compared between CD133+ and CD133− cells, as well as drug sensitivity. Thereafter, microRNA (miRNA) profiles were performed to identify differentially expressed miRNAs between CD133+ and CD133− subpopulation. Following, bioinformatic methods were used to predict target genes for differentially expressed miRNAs and perform enrichment analysis. Furthermore, the mammalian target of rapamycin (mTOR) signaling pathways and CSC property-associated signaling pathways were explored and visualized in regulatory network among competitive endogenous RNA (ceRNA), miRNA, and target gene. CD133+ subpopulation showed greater oncogenic potential than CD133− subpopulation. In all, 14 differentially expressed miRNAs were obtained and enriched in 119 pathways, including five upregulated (hsa-miR-23b-3p, -23a-3p, -15b-5p, -24-3p, and -4734) and nine downregulated (hsa-miR-1246, -30b-5p, -5096, -6510-5p, has-miR-7110-5p, -7641, -3197, -7108-5p, and -6791-5p). For mTOR signaling pathway, eight differential miRNAs (hsa-miR-23b-3p, -23a-3p, -15b-5p, -24-3p, -4734, -1246, -7641, and -3197) and 39 target genes (e.g., AKT1, AKT2, PIK3CB, PIK3CG, PIK3R1, PIK3CA, and PIK3CD) were involved, as well as some ceRNAs. Besides, for CSC property-related signaling pathways, six miRNAs (hsa-miR-1246, -15b-5p, -30b-5p, -3197, -4734, and -7110-5p) were dramatically enriched in Hedgehog, Notch, and Wnt signaling pathways via regulating 108 target genes (e.g., DVL1, DVL3, WNT3A, and WNT5A). The mTOR and CSC property-associated signaling pathways may be important oncogenic molecular mechanisms in CD133+ A549 cells.
KeywordsNon-small cell lung cancer Cancer stem cell CD133 mTOR MicroRNA profile Bioinformatic methods
This study was supported by “334” High-tech Talent Training Program of Nanjing Military Command and Natural Science Foundation of Zhejiang Province of China (LY12H16001).
Conflicts of interest
- 16.Nie F-Q, Zhu Q, Xu T-P, Zou Y-F, Xie M, Sun M, Xia R, Lu K-H. Long non-coding rna mvih indicates a poor prognosis for non-small cell lung cancer and promotes cell proliferation and invasion. Tumor Biol 2014:1–8.Google Scholar
- 23.Chang L, Graham P, Hao J, Ni J, Bucci J, Cozzi P, et al. Acquisition of epithelial–mesenchymal transition and cancer stem cell phenotypes is associated with activation of the pi3k/akt/mtor pathway in prostate cancer radioresistance. Cell Death Dis. 2013;4:e875.CrossRefPubMedPubMedCentralGoogle Scholar
- 24.Kohl M, Wiese S, Warscheid B. Cytoscape: software for visualization and analysis of biological networks; Data mining in proteomics, Springer. 2011: 291–303.Google Scholar
- 30.Li B, Sun M, Gao F, Liu W, Yang Y, Liu H, et al. Up-regulated expression of mir-23a/b targeted the pro-apoptotic fas in radiation-induced thymic lymphoma. Chem Biol Interact. 2013;32:1729–40.Google Scholar