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Fig. 1 | Cancer Cell International

Fig. 1

From: Cancer-associated fibroblast-derived exosomal microRNA-98-5p promotes cisplatin resistance in ovarian cancer by targeting CDKN1A

Fig. 1

Silence of CDKN1A induces cisplatin resistance in cisplatin-sensitive OC cells. a Heatmap of the OC GSE58470 dataset. The X-label indicates the logP value, and the Y-label indicates the logFC value. Each dot indicates one gene, the red dots indicate the genes highly expressed in the drug-resistant samples, and the green dots indicate the genes poorly expressed in the drug-resistant samples. b Correlation analysis between differential genes and cisplatin. In the graph, triangles represent chemicals, circles represent genes, and colors represent the core degree of the factors in the network graph. The darker color indicates the higher core degree. c Subnetworks of differential genes related to cisplatin in the whole network map. d The expression of CDKN1A in OC cell lines and human normal ovarian epithelial cell line as detected by RT-qPCR. e The expression of CDKN1A in OC cell lines and human normal ovarian epithelial cell line as detected by Western blot analysis. f Statistical analysis for e. g Detection of IC50 of cisplatin in OC cells. h The expression of CDKN1A in OC cells after silencing CDKN1A as detected by RT-qPCR. I, The expression of CDKN1A in OC cells after silencing CDKN1A as detected by Western blot analysis. J, Statistical analysis for i. k OC cell proliferation after silencing CDKN1A as detected by CCK-8 assay. l Colony formation ability after silencing CDKN1A as detected by colony formation assay. m Statistical analysis for l. n OC cell cycle distribution after silencing CDKN1A as detected by flow cytometry. o Statistical analysis for n. p OC cell apoptosis after silencing CDKN1A as detected by flow cytometry. q Statistical analysis for p. *p < 0.05 vs. HOSEpiCs cell line or sh-NC; #p < 0.05 vs. SKOV3 cell line or cells without treatment of cisplatin; &p < 0.05 vs. cisplatin-sensitive OC cell lines. These data were measurement data, expressed as mean ± standard deviation. Data between two groups were compared using unpaired t-test. Data among multiple groups were compared using one-way analysis of variance and further analyzed with Tukey’s post hoc test. Comparisons among multiple groups at different time points were analyzed using repeated measures ANOVA, followed by Bonferroni post hoc test. The experiment was repeated three times

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