[Establishment of a nomogram model to predict systemic inflammatory response syndrome after transrectal ultrasound-guided prostate biopsy].

OBJECTIVE: To access the risk factors of systemic inflammatory response syndrome (SIRS) after transrectal ultrasound-guided biopsy of the prostate (TRUS-Bp) and establish a model and a nomogram for the prediction of SIRS after TRUS-Bp. METHODS: We retrospectively analyzed the clinical data on 752 cases of TRUS-Bp in our hospital from January 2010 to January 2017 and included 570 of the cases in this study. We investigated the independent risk factors for SIRS after TRUS-Bp by univariate and logistic regression analyses, constructed a prediction model and nomogram with the R-Statistics software, evaluated the discrimination of the model with the ROC curve, and measured the conformity by SPSS25.0 Bootstrap sampling. RESULTS: At 1－2 postoperative days, 58 (10.2%) of the 570 patients were diagnosed with SIRS, 22 (3.9%) with bacteremia, and 6 (1.1%) with septic shock, but none died. Logistic regression analysis showed that the independent risk factors for SIRS after TRUS-Bp included old age (>70 yr; OR = 1.1, P = 0.01), high number of biopsy needles (>10; OR = 2.3, P < 0.01), diabetes mellitus (OR = 3.4, P < 0.01), and hypoproteinemia (OR = 2.5, P < 0.01). The area under the ROC curve was 0.947 and internal validation showed a conformity of 92%. CONCLUSIONS: Old age (>70 yr), high number of biopsy needles (>10), diabetes mellitus and hypoproteinemia may increase the risk of SIRS after TRUS-Bp. Evaluation with a model nomogram may help predict the probability of SIRS after TRUS-Bp.

A four actin-binding protein signature model for poor prognosis of patients with esophageal squamous cell carcinoma.

The actin cytoskeleton is a dynamic structure with actin-binding proteins (ABPs) playing an essential role in the regulation of migration, differentiation and signal transduction in all eukaryotic cells. We examined the relationship between altered expression of four ABPs and clinical parameters in esophageal squamous cell carcinoma (ESCC). To this end, we analyzed 152 formalin-fixed and paraffin-embedded esophageal curative resection specimens by immunohistochemistry for tensin, profilin-1, villin-1 and talin. A molecular predictor model, based on the combined expression of the four proteins, was developed to correlate the expression pattern of the four ABPs with clinical factors and prognosis of ESCC. According to the results, weak significance was found for tensin in lymph node metastasis (P=0.033), and profilin-1 in pTNM stage (P=0.031). However, our four-protein model showed strong correlation with the 5-year overall survival rate (P=0.002). Similarly, Kendall's tau-b test also showed the relationship between the collective expression pattern of the four ABPs with lymph node metastasis (P=0.005) and pTNM stage (P=0.001). Our results demonstrate that the collective protein expression pattern of four actin-binding proteins could be a biomarker to estimate the prognosis of ESCC patients.