Nomograms to Predict Overall and Cancer-Specific Survival in Gastric Signet-Ring Cell Carcinoma.

BACKGROUND: The objective of our study was to develop and validate nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) of patients with signet-ring cell carcinoma (SRCC) of the stomach. METHODS: Data were collected from the Surveillance, Epidemiology, and End Results (SEER) database. A total of 1781 patients were randomly allocated to a training set (n = 1335) and a validation set (n = 446). Univariate and multivariate analyses were used to determine the prognostic effect of variables. Nomograms were developed to estimate OS and CSS and assessed using the concordance index (C-index), calibration curves, receiver operating characteristic (ROC), and decision curve analyses (DCA). DCA was utilized to compare the nomograms and the Tumor-Node-Metastasis (TNM) staging system. RESULTS: Age, race, tumor size, T, N, M stage, and use of surgery and/or radiotherapy were included in the nomograms. C-indexes for OS and CSS were 0.74 and 0.75 in the training set, respectively. C-indexes for OS and CSS were 0.76 and 0.76 in the validation set. Calibration plots and receiver operating characteristic (ROC) curves showed good predictive accuracy. According to the decision curve analyses (DCA), the new model was more useful than the TNM staging system. CONCLUSIONS: We developed nomograms to predict OS and CSS in patients with SRCC of the stomach. Nomograms may be a valuable clinical supplement of the conventional TNM staging system.

[Application of porous tantalum Jumbo cup in revision of hip arthroplasty].

OBJECTIVE: To investigate the clinical effect of porous tantalum Jumbo cup on acetabular reconstruction in revision of total hip arthroplasty. METHODS: From September 2014 to December 2017, 18 patients(18 hips) with acetabular defect were reconstructed by porous tantalum Jumbo cup technology, including 6 males and 12 females;the age ranged from 54 to 76 years old with an average of(63.8±15.3) years. There were 6 cases of paprosky typeⅡA, 8 cases of typeⅡB, 2 cases of typeⅡC and 2 cases of type Ⅲ a. Harris score and visual analogue scale (VAS) were performed before and after operation. Imaging examination was performed to evaluate the position of hip rotation center and prosthesis, and to judge whether acetabular loosening, displacement and complications existed. RESULTS: All cases were followed up for 13 to 49 months, with an average of 20.6 months. Harris score increased from 54.6±4.7 to 86.5±3.2 one year after operation(P<0.01), and VAS score decreased from 6.8±0.7 to 0.8±0.6 one year after operation (P<0.01). The transverse coordinate of hip rotation center was (3.52±0.72) cm before operation and (3.47±0.54) cm after operation (P>0.05). The longitudinal coordinate of hip rotation center was improved from (3.02±0.84) cm before operation to (2.35±0.53) cm after operation (P<0.01). During the follow-up period, the Jumbo cup was well fixed without loosening and displacement, the acetabular cup had bone ingrowth in varying degrees, and no light transmission line and osteolysis around the acetabular cup were found. No complications such as infection and nerve injury occurred. CONCLUSION: The method of reconstructing acetabular bone defect with porous tantalum Jumbo cup is simple and easy, the early stability of acetabulum is good, and the short-term follow-up effect is good.

Modeling the physiological glucose-insulin dynamic system on diabetics.

A novel mathematical model is presented to describe the dynamic behavior of plasma glucose and insulin on diabetic subjects. Though various models have been proposed to simulate the short-term (a variety of intravenous glucose or insulin injection) glucose-insulin dynamics, it is intended to construct a modified delay differential equations (DDEs) model based on the human glucose-insulin metabolic system. Five specific adjustable parameters inside the model are defined as the factors of the major physiological functions. Then several clinical data sets (56 subjects) which includes the information of food ingestion and exogenous insulin injection are verified and the model could practically reflect the dynamics and oscillation behavior on diabetic subjects by varying the adjustable parameters. Moreover, the corresponding parameters are fairly helpful to identify the patient's conditions of major physiological functions. This generic glucose-insulin dynamic model can be expected to develop such advanced therapy strategies for diabetics in the future.

Reduction of arginase I activity and manganese levels in the liver during exposure of rats to methylmercury: a possible mechanism.

The toxicity of methylmercury (MeHg) is, in part, thought to be due to its interaction with thiol groups in a variety of enzymes, but the molecular targets of MeHg are poorly understood. Arginase I, an abundant manganese (Mn)-binding protein in the liver, requires Mn as an essential element to exhibit maximal enzyme activity. In the present study, we examined the effect of MeHg on hepatic arginase I in vivo and in vitro. Subcutaneous administration of MeHg (10 mg/kg) for 8 days to rats resulted in marked suppression of arginase I activity. With purified arginase I, we found that interaction of MeHg with arginase I caused the aggregation of arginase I as evaluated by centrifugation and subsequent precipitation, and then the reduction of catalytic activity. Experiments with organomercury column confirmed that arginase I has reactive thiols that are covalently bound to organomercury. While MeHg inhibited arginase I activity, Mn ions were released from this enzyme. These results suggest that MeHg-mediated suppression of hepatic arginase I activity in vivo is, at least in part, attributable to covalent modification of MeHg or substantial leakage of Mn ions from the active site.

Modeling the physiological glucose-insulin system on normal and diabetic subjects.

This paper aims to present a mathematical model to describe the plasma glucose and insulin daily variations on normal and diabetic subjects. The proposed model consists of two delay differential equations (DDEs) where five adjustable parameters are used to characterize the respective dynamics and oscillation behavior of normal and diabetic subjects. Several clinical data tests demonstrate that the suggested model is practical to approach the daily-life glucose dynamics on normal, diabetic Type 1 and Type 2 subjects. Moreover, the corresponding parameters are fairly persuasive to identify the patients' conditions of physiological functions.