Fig. 1

Screening and expression of circRNA100146 in NSCLC cells and tissues. a Differential expression circRNAs in 16HBE and 16HBE-T cells. The values plotted on X and Y axes in the Scatter-Plot are the normalized signal values of the samples (log2 scaled). The green lines are Fold Change Lines. The circRNAs above the top green line and below the bottom green line indicated circRNAs > 2.0-fold change between the two samples. b Six circRNAs that were mostly upregulated were detected via qRT-PCR. Data are presented as means ± s.d., n = 3, paired t-test, *p < 0.05, **p < 0.01. c Genomic scheme of circRNA 100146. TMEM234 and MTMR9LP are genes upstream and downstream of EIF3I, the parental gene of circRNA 100146. d Pathways and cellular processes analysis were applied for prediction of circRNA 100146. We used KEGG database to analyze circRNA100146 and its target genes for signal pathway enrichment, and to calculated the hypergeometric distribution between differentially expressed genes and pathways, then analyzed the enrichment of these genes in different pathways, and finally screened out pathways that these genes involved based on the p value. The left Y axis represents p value and right Y axis represents the number of target genes associated with circRNA. e Relative expression of circRNA 100146 in five lung cancer cell lines. Data are expressed as means ± s.d., n = 3, unpaired t-test, *p < 0.05, **p < 0.01. f The scatter plot shows circRNA 100146 expression in 40 paired NSCLC cancer and paracancerous tissues (2^-ΔCt, which was normalized according to GAPDH expression level), n = 40, ANOVA, *p < 0.05. g ROC curve analysis to evaluate the diagnostic value of circRNA 100146. The area under the curve (AUC) was 0.643 (95% CI:0.521–0.764, *p = 0.028)