Objective:To detect the expression of has_circ_0001459 in peripheral blood mononuclear cells (PBMCs) of Epstein-Barr virus (EBV)-infected individuals and evaluate its diagnostic value for EBV infection.Methods:The expression profiles of circRNAs in PBMCs of patients with EBV infection were obtained by whole-transcriptome sequencing. Differentially expressed circRNAs with statistical significance were selected based on the criteria of ∣log 2Fold Change∣≥1 and P<0.05. Based on the composition, length and primer specificity, hsa_circ_0001459 with high expression was selected for further research. The relative expression of hsa_circ_0001459 in PBMCs of 60 patients with EBV infection and 45 healthy people was detected by real-time fluorescent quantitative PCR. Receiver operating characteristic (ROC) curve and Kappa analysis were used to analyze the diagnostic value of hsa_circ_0001459 expression for EBV infection. Results:The expression of hsa_circ_0001459 showed an up-regulation trend in patients with EBV infection as compared with that in the healthy people, and the results were consistent with the sequencing results. The area under the ROC curve for screening EBV-infected individuals was 0.83(95%CI: 0.75-0.91) with the sensitivity of 0.80(95%CI: 0.66-0.89) and the specificity of 0.77(95%CI: 0.65-0.86). Kappa analysis indicated that hsa_circ_0001459 was moderately consistent with EBV DNA in the diagnosis of EBV infection (κ=0.51).Conclusions:Hsa_circ_0001459 tended to be highly expressed in PBMCs of EBV-infected individuals, which might be uses as a diagnostic marker for EBV infection.

Objective:To investigate the value of nomogram predictive model established by the risk factors of upper extremity venous thrombosis risk associated with peripherally venous inserted central catheter (PICC) in cancer patients.Methods:A total of 1 032 patients who underwent PICC insertion between January 2016 and March 2017 in Zhejiang Cancer Hospital were selected by using prospective cohort study and convenience sampling. Risk factors of upper extremity venous thrombosis risk associated with PICC in cancer patients were evaluated by using Cox regression model. The nomogram predictive model of upper extremity venous thrombosis risk associated with PICC insertion was constructed. Bootstrap method was used to complete the inside check, and figure calibration was used to verify the nomogram.Results:A multivariate Cox regression analysis showed that trombosis history ( HR = 27.82, 95% CI 8.17-94.88, P < 0.01) and hyperlipidemia ( HR = 3.01, 95% CI 1.31-6.93, P = 0.009) were independent risk factors for upper extremity venous thrombosis associated with PICC. The nomogram model C-index was 0.71 (95% CI 0.63-0.80) based on the above risk factors, which indicated that the nomogram had a good differentiation. The calibration curve for predicting the probability of upper extremity venous thrombosis risk associated with PICC within one week, two weeks and one month deviated slightly from the standard curve, suggesting that the model might overestimate the risk of upper extremity venous thrombosis associated with PICC in cancer patients. Conclusions:The nomogram model has a good predictive value and strong operability, which can be used to predict the probability of upper extremity venous thrombosis associated with PICC in cancer patients after PICC insertion. It can provide a reference for identifying the high-risk cancer patients and formulating proper therapeutic strategies.