Andrewscoble9837

PURPOSE The relationship between postoperative complications and long-term survival after surgery for esophageal squamous cell carcinoma (ESCC) is controversial. METHOD A total of 210 patients with ESCC who underwent subtotal esophagectomy with a reconstructed gastric tube were investigated according to the development of postoperative complications. The associations of age, gender, T and N factors, and pStage with grade 0-2 complications (NSC) and grade 3 and higher complications (SC) were compared by propensity score-matching analysis. Fifty-one pairs of NSC and SC groups were selected for the final analysis. We divided 102 patients between the NSC and SC groups or between the no pulmonary complication (NPC) and the pulmonary complication (PC) groups. The overall survival (OS) and disease-free survival (DFS) were determined by the Kaplan-Meier method and were compared by log-rank tests. Possible predictors of OS and DFS were subjected to univariate analysis and multivariate Cox proportional hazard regression analysis. RESULTS The propensity score matching revealed that the 5-year OS and DFS of the NSC group were not different from those of the SC group. However, the 5-year OS of the PC group was significantly worse than that of the NPC group, while no significant differences were observed in the DFS between the PC and NPC groups. JAK inhibitor In the multivariate analysis, UICC pStage, pulmonary complication, and American Heart Association (AHA) classification for OS and UICC pStage for DFS were significant prognostic factors. CONCLUSION The OS and DFS did not differ in patients with or without severe postoperative complications. However, postoperative pulmonary complications were independent predictors of poorer OS, but not DFS, in patients who underwent R0 resection for ESCC.OBJECTIVE This article explores the differences in the effectiveness and safety of the treatment of bladder cancer (BC) by robotic-assisted radical cystectomy (RARC) and laparoscopic radical cystectomy (LRC). METHODS A systematic search was performed using databases including Medline, PubMed and Web of Science within a limited period from January 1, 2000, to September 1, 2019. RevMan 5.3 was used for calculation and statistical analyses. RESULTS We performed meta-analysis on operation time, estimated blood loss, intraoperative blood transfusion, positive surgical margin, oral intake time, length of hospital stay, complication and other indicators, and found that there were no statistically significant differences between LRC and RARC. CONCLUSION Our meta-analysis results show that LRC and RARC have similar results on the effectiveness and safety of BC. For those medical institutions that cannot perform robot-assisted surgery but are seeking minimally invasive and faster postoperative recovery, LRC is worth considering. However, a larger sample size, more rigorous design and longer follow-up randomized controlled trials are still needed to support our conclusions.For spatiotemporal learning with neural networks, hyperparameters are often set manually by a human expert. This is especially the case with multiple timescale networks that require a careful setting of the values of timescales in order to learn spatiotemporal data. However, this implies a cumbersome trial-and-error process until suitable parameters are found and it reduces the long-term autonomy of artificial agents, such as robots that are controlled by multiple timescale networks. To solve the problem, we propose the evolutionary optimized multiple timescale recurrent neural network (EO-MTRNN) that is inspired by the neural plasticity of the human cortex. Our proposed network uses a method of evolutionary optimization to adjust its timescales and to rewire itself in terms of number of neurons and synapses. Moreover, it does not require additional neural networks for pre- and postprocessing input-output data. We validate our EO-MTRNN by applying it to a proposed benchmark training dataset with single and multiple sequence training cases, as well as by applying it to sensory-motor data from a robot. We compare different configuration modes of the network, and we compare the learning performance between a network configuration with manually set hyperparameters and a configuration with automatically estimated hyperparameters. The results show that automatically estimated hyperparameters yield approximately 43% better performance than manually estimated ones, without overfitting the given teaching data. We also validate the generalization ability by successfully learning data that were not included in the hyperparameter estimation process.PURPOSE Metarrestin is a first-in-class pyrrolo-pyrimidine-derived small molecule targeting a marker of genome organization associated with metastasis and is currently in preclinical development as an anti-cancer agent. Here, we report the in vitro ADME characteristics and in vivo pharmacokinetic behavior of metarrestin. METHODS Solubility, permeability, and efflux ratio as well as in vitro metabolism of metarrestin in hepatocytes, liver microsomes and S9 fractions, recombinant cytochrome P450 (CYP) enzymes, and potential for CYP inhibition were evaluated. Single dose pharmacokinetic profiles after intravenous and oral administration in mice, rat, dog, monkey, and mini-pig were obtained. Simple allometric scaling was applied to predict human pharmacokinetics. RESULTS Metarrestin had an aqueous solubility of 150 µM at pH 7.4, high permeability in PAMPA and moderate efflux ratio in Caco-2 assays. The compound was metabolically stable in liver microsomes, S9 fractions, and hepatocytes from six species, includingotential on CYP-mediated metabolism. Overall favorable ADME and PK properties support metarrestin's progression to clinical investigation.PURPOSE FOLFIRINOX is the standard therapy in patients with unresectable pancreatic cancer (PC). However, FOLFIRINOX frequently induces febrile neutropenia (FN) and neutropenia. The purpose of this study was to explore risk factors for FN and grade 4 neutropenia (NP G4) in patients receiving FOLFIRINOX for PC. METHODS We collected data on 106 patients with PC treated with first-line FOLFIRINOX between 2015 and 2017 using the Pancreatic Cancer Cohort Registry of Severance Hospital in Seoul, Korea. RESULTS Multivariate logistic regression analysis showed that female (OR, 3.24; P = 0.023), Eastern Cooperative Oncology Group performance status (OR, 3.70; P = 0.024), overweight (OR, 4.25; P = 0.022), and initial biliary stent insertion (OR, 4.22; P = 0.008) were significantly related to a high risk of FN. Time-dependent bias was reduced using Cox regression analysis, which revealed that female (OR, 2.29; P = 0.041), overweight (OR, 2.67; P = 0.022), and initial biliary stent insertion (OR, 2.59; P = 0.016) were statistically significant predictors.