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. 2019 Nov 26;11(22):9982–9999. doi: 10.18632/aging.102356

Figure 1.

Figure 1

Bioinformatics prediction of the potential molecules (hsa_circ_0000515, miR-326 and ELK1) that are related to cervical cancer. (A) the expression of hsa_circ_0000515 in the microarray dataset GSE102686; (B) the intersected miRNAs might be regulated by hsa_circ_0000515 predicted in CircInteractome and circBank databases; (C) the expression of miRNAs in cervical cancer determined by RT-qPCR; (D) the Venn diagram of target genes of miR-326 predicted by DIANA tools, miRDB and mirDIP; (EH) the expression of FNDC3A, PALM, PPP1R3F and ELK1 in cervical cancer from the UALCAN database.