Univariate analysis of RFS in classical PTC patients.

Univariate analysis of RFS in classical PTC patients.</p

Multivariate analysis of RFS in classical PTC patients.

Multivariate analysis of RFS in classical PTC patients.</p

Decreased <i>EMX2</i> and <i>EMX2OS</i> expression was associated with unfavorable RFS in classical PTC, but not in follicular PTC.

A-D. Kaplan-Meier curves of RFS in follicular (A and C) and classical (B and D) PTC. Patients were grouped according to the best cutoff of EMX2 (A-B) and EMX2OS (C-D) expression in the ROC analysis for recurrence detection.</p

The association between <i>EMX2OS</i> expression and the clinicopathological parameters in classical PTC patients.

The association between EMX2OS expression and the clinicopathological parameters in classical PTC patients.</p

Bioinformatic analysis of the regulatory network of <i>EMX2</i> and <i>EMX2OS</i> co-expressed genes in PTC.

A. The overlapping gene set between EMX2 co-expressed with and EMX2OS co-expressed genes in PTC. Spearman’s r≥0.4 was set as the threshold. B. The potential regulatory network among the overlap genes. Analysis was performed using String 10.5.</p

KEGG pathways of <i>EMX2</i> and <i>EMX2OS</i> co-expressed genes in PTC.

The enrichment of the EMX2 and EMX2OS co-expressed genes in PTC in KEGG pathways. Cancer-related pathways were colored.</p

The downregulation of lncRNA <i>EMX2OS</i> might independently predict shorter recurrence-free survival of classical papillary thyroid cancer

Homeobox protein Emx2 is a transcription factor that is encoded by the EMX2 gene. In this study, using data from the Cancer Genome Atlas-Thyroid Cancer (TCGA-THCA), we aimed to examine the expression profile of EMX2 and its antisense transcript EMX2OS in papillary thyroid cancer (PTC), their prognostic value and potential regulatory networks. Results showed that in the three variants of PTC, EMX2 was significantly downregulated in classical PTC, while EMX2OS were significantly downregulated in follicular and classical PTC, compared with adjacent normal tissues. Kaplan-Meier survival curves showed that EMX2 and EMX2OS expression was not related to RFS in follicular PTC. In comparison, the high EMX2 or EMX2OS group were associated with better RFS compared with their respective low expression group in classical PTC (p = 0.007 and 0.004 respectively). Correlation analysis showed that EMX2 and EMX2OS were highly co-expressed in PTC tissues (Spearman’s r = 0.83). By performing stepwise regression, we found that EMX2OS was better than EMX2 in predicting RFS in classical PTC. Multivariate analysis confirmed that high EMX2OS expression was an independent indicator of favorable RFS in classical PTC (HR: 0.239, 95%CI: 0.100 = 0.569, p = 0.001), after adjustment of pathological stages and residual tumors. By performing in silico analysis, we found that the genes co-expressed with EMX2 or EMX2OS were highly overlapped. KEGG pathway analysis showed that these genes were enriched in the ECM-receptor interaction, focal adhesion, and PI3K-Akt signaling, protein digestion and absorption and proteoglycans in cancer pathways, which are closely related to cancer initiation and progression. Based on the findings, we infer that decreased EMX2OS expression might be a valuable prognostic biomarker of unfavorable RFS in classical PTC.</div

A reputation mechanism based Deep Reinforcement Learning and blockchain to suppress selfish node attack motivation in Vehicular Ad-Hoc Network

A reputation mechanism based Deep Reinforcement Learning and blockchain to suppress selfish node attack motivation in Vehicular Ad-Hoc Networ

Correlation analysis between the expression of <i>EMX2</i> and <i>EMX2OS</i>.

Spearman’s correlation between the expression of EMX2 and EMX2OS in PTC cases (N = 500).</p

The expression profile of <i>EMX2</i> and <i>EMX2OS</i> in each variant of PTC compared and their adjacent normal tissues.

A-C. Heatmap (A) and plots chart (B-C) showing the expression profile of EMX2 (B) and EMX2OS (C) in each variant of PTC compared and their adjacent normal tissues. The number of tumor tissues and adjacent normal tissues were as indicated.</p