At advanced stages of hepatocellular carcinoma (HCC), the multikinase inhibitor sorafenib is the only effective treatment. Surrogate markers that predict the biological and clinical efficacy of sorafenib may help tailor treatment on an individual patient basis. In the present study, the clinical significance of the expression of HOXB9, a transcriptional factor, in HCC was assessed. Increased HOXB9 expression in HCC was found to be positively correlated with the expression of angiogenic factors, increased vascular invasion and was found to be associated with poor overall patient survival. Sorafenib treatment effectively suppressed the expression of angiogenic factors and activation of the Raf/MEK/ERK pathway in HOXB9-expressing HCC cell lines. Consistent with these findings, HCC patients, whose cancer expressed high levels of HOXB9, exhibited increased overall survival upon sorafenib treatment. Collectively, these results suggest that HOXB9 expression in HCC could be a surrogate marker for a beneficial response to sorafenib treatment.
Subcuticular suturing after hepatobiliary-pancreatic surgery was more efficacious in reducing postoperative superficial surgical site infection incidence than staples for skin closure.
BackgroundA novel index, total liver LU15, has been identified as a surrogate marker for liver function. We evaluated the ability of preoperative remnant liver LU15 values to predict postoperative hepatic failure.MethodsPreoperative risk factors for postoperative hepatic failure and remnant liver LU15 were evaluated in 123 patients undergoing liver resection for several diseases from September 1st, 2007 to December 1st, 2016. We calculated the remnant liver LU15 value from the total liver LU15 value and the functional remnant liver ratio. Risk factors for postoperative hepatic failure was determined by univariate and multivariate analysis.ResultsHepatic failure grade B/C developed postoperatively in six patients of seven patients within Makuuchi criteria / without criteria for remnant liver LU15. Operative time (p = 0.0242) and criteria for remnant liver LU15 (p = 0.0001) were prognostic factors for hepatic failure according to the univariate analysis. And criteria for remnant liver LU15 (p = 0.0009) was only prognostic factor by multivariate analysis.ConclusionBased on the findings form this pilot study, it appears that patients with a remnant liver LU15 value of 13 or less may have a high risk of postoperative hepatic failure.
This new surgical technique of HPD may be able to prevent postoperative pancreatic fistula by performing intraoperative dissection of the pancreatic parenchyma as late as possible, which in turn, may improve the safety of HPD.
Background Prediction of failure of nonoperative management (NOM) in uncomplicated appendicitis (UA) is difficult. This study aimed to establish a new prediction model for NOM failure in UA. Methods We included 141 adults with UA who received NOM as initial treatment. NOM failure was defined as conversion to operation during hospitalization. Independent predictors of NOM failure were identified using logistic regression analysis. A prediction model was established based on these independent predictors. Receiver operating characteristic (ROC) curve analysis and the Hosmer-Lemeshow test were used to assess the discrimination and calibration of the model, respectively, and risk stratification using the model was performed. Results Among 141 patients, NOM was successful in 120 and unsuccessful in 21. Male sex, maximal diameter of the appendix, and the presence of fecalith were identified as independent predictors of NOM failure for UA. A prediction model with scores ranging from 0 to 3 was established using the three variables (male sex, maximal diameter of the appendix C 15 mm, and the presence of fecalith). The area under the ROC curve for the new prediction model was 0.778, and the model had good calibration (P = 0.476). A score of 2 yielded a sensitivity of 71.4% and a specificity of 90.8%. Patients were stratified into low (0-1), moderate (2), and high (3) risk categories, which had NOM rates of 5.2%, 47.1%, and 77.8%, respectively. Conclusions Our prediction model may predict NOM failure in UA with good diagnostic accuracy and help surgeons select appropriate treatments.
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