Fig. 1

Differential expressions of miR-375 and MELK were detected in cervical cancer. a The heat map of the top 50 differentially expressed genes in GSE7803 microarray. b The heat map of the top 50 differentially expressed genes in GSE63514 microarray. In panels a and b, the X-axis indicates the sample number while the Y-axis represents the gene. The tree diagram on the left indicates the gene expression cluster. Each square represents the expression of one gene in one sample. The histogram on the right shows intensity as a color gradation. c Intersection of differentially expressed genes in cervical cancer. Two circles represent the upregulated genes in cervical cancer-related two microarrays. The intersected region represents the intersection results. d Protein-protein intersection network of differentially expressed genes in cervical cancer. The circle reflects the core degree. e The expression of MELK in a sample at different stages of cervical cancer. The X-axis indicates the sample number while the Y-axis represents the gene. The first box indicates the MELK expression in normal cervical samples while the remaining four boxes present the MELK expression in cervical cancer samples at different stages. f Intersection of regulatory BMSC-EV-derived miRNAs and miRNAs in cervical cancer samples. The three circles represent the results obtained from the mirDIP database, TargetScan database, and previous literature, respectively. g The expression of miR-375 was determined using RT-qPCR in HcerEpic, CaSki, C33A, HeLa, and SiHa cell lines, normalized to U6. h The mRNA expression of MELK was determined using RT-qPCR in HcerEpic, CaSki, C33A, HeLa, and SiHa cell lines, normalized to β-actin. The measurement data are presented as mean ± SD. Multiple groups of data are compared by one-way ANOVA and Tukey’s test. *p < 0.05 compared with the HcerEpic cell line