VALUE OF A SCORING SYSTEM BASED ON INFLAMMATORY AND NUTRITIONAL INDICATORS IN PREDICTING THE EFFICACY OF NEOADJUVANT CHEMOTHERAPY FOR UPPER GASTRIC CANCER

Objective To investigate the association of inflammatory and nutritional indicators with the efficacy of neoadjuvant chemotherapy (NACT) in patients with upper gastric cancer before and after NACT, and to establish a clinical predictive model. Methods A total of 117 patients with upper gastric cancer who underwent NACT in Department of Gastroenterology in our hospital from April 2013 to January 2022 were enrolled, and according to the efficacy of chemotherapy, they were divided into effective group and ineffective group. Related clinical data were collected, such as age, sex, smoking history, drinking history, initial symptoms, tumor location, degree of tumor differentiation, tumor stage, tumor pathological type, and routine blood test results within one week before NACT and within one week after NACT. Univariate and multivariate analyses were performed to identify the influencing factors for the efficacy of NACT, and then a nomogram model was established and validated. Results The multivariate analysis showed that the difference in plasma neutrophil-to-lymphocyte ratio before and after NACT (△NLR) (OR=2.043,95%CI=1.334-3.127,P<0.05), the difference in plasma platelet-to-lymphocyte ratio before and after NACT (△PLR) (OR=1.007,95%CI=1.000-1.014,P<0.05), the difference in serum albumin before and after NACT (△Alb) (OR=0.936,95%CI=0.878-0.997,P<0.05), and T stage (OR=4.044,95%CI=1.128-14.501,P<0.05) were independent risk factors for the efficacy of NACT. A nomogram predictive model for the efficacy of NACT in upper gastric cancer was constructed based on the results of the multivariate analysis, with an area under the ROC curve of 0.877, and the calibration curve and the clinical decision curve showed that the model had good calibration and consistency with the actual results. Conclusion △NLR, △PLR, △Alb, and T stage are independent independent risk factors for the efficacy of NACT in patients with upper gastric can-cer, and the predictive model for the efficacy of NACT for upper gastric cancer has good predictive performance and clinical application value

The giant electrorheological effect and its mechanism

The giant electrorheological effect(GER) has been observed in a novel type of electrorheological suspension of coated nanoparticles that exhibits electrically controllable liquid-solid transitions in which the solid state can reach a yield strength more than 100 kPa, breaking the theoretical upper bound predicted by conventionally theoretical assumptions. This GER effect displays near-linear variation of the static yield stress versus the electric field, in contrast to the quadratic variation usually observed. A theoretical model, based on saturation surface polarization in the contact region of neighboring particles, yields predictions in excellent agreement with the experiment

A virtual biopsy study of microsatellite instability in gastric cancer based on deep learning radiomics

Abstract Objectives This study aims to develop and validate a virtual biopsy model to predict microsatellite instability (MSI) status in preoperative gastric cancer (GC) patients based on clinical information and the radiomics of deep learning algorithms. Methods A total of 223 GC patients with MSI status detected by postoperative immunohistochemical staining (IHC) were retrospectively recruited and randomly assigned to the training (n = 167) and testing (n = 56) sets in a 3:1 ratio. In the training set, 982 high-throughput radiomic features were extracted from preoperative abdominal dynamic contrast-enhanced CT (CECT) and screened. According to the deep learning multilayer perceptron (MLP), 15 optimal features were optimized to establish the radiomic feature score (Rad-score), and LASSO regression was used to screen out clinically independent predictors. Based on logistic regression, the Rad-score and clinically independent predictors were integrated to build the clinical radiomics model and visualized as a nomogram and independently verified in the testing set. The performance and clinical applicability of hybrid model in identifying MSI status were evaluated by the area under the receiver operating characteristic (AUC) curve, calibration curve, and decision curve (DCA). Results The AUCs of the clinical image model in training set and testing set were 0.883 [95% CI: 0.822–0.945] and 0.802 [95% CI: 0.666–0.937], respectively. This hybrid model showed good consistency in the calibration curve and clinical applicability in the DCA curve, respectively. Conclusions Using preoperative imaging and clinical information, we developed a deep-learning-based radiomics model for the non-invasive evaluation of MSI in GC patients. This model maybe can potentially support clinical treatment decision making for GC patients. Graphical abstrac

Syntheses of 3,3-Disubstituted Dihydrobenzofurans, Indolines, Indolinones and Isochromanes by Palladium-Catalyzed Tandem Reaction Using Pd(PPh3)2Cl2/(±)-BINAP as a Catalytic System

A general procedure for the tandem arylation reaction of arylbromide with heteroaryl compounds was developed by using Pd(PPh3)2Cl2/(±)-BINAP (1,1′-Binaphthalene-2,2′-diylbis (diphenylphosphane)) as catalytic system. Both sulphur- and oxygen-containing heterocycles were also employed as an efficient reagent for arylation, which gave moderate to excellent yields with moderate to good regioselectivities (5:1 to > 20:1 ir (isomer ratio)). Except for dihydrobenzofurans, indolines and indolinones, this type of tandem reaction was also expanded to synthesize isochromanes. The synthesized new compounds were well characterized through different spectroscopic techniques, such as 1H and 13C NMR (nuclear magnetic resonance), and mass spectral analysis

Land Policy and Urbanization in the People's Republic of China

In this paper, we explore the relationship between land policies and urbanization in the People's Republic of China (PRC). We analyze the land policies associated with urbanization, and summarize findings related to central and local government involvement in the process of urbanization. In particular, we explore the relationship between urbanization and land leasing. We find that the urbanization rate and the land leasing revenue are positively related. Land leasing provides financial support for PRC urbanization, but damages the interest of landless peasants. Especially in the west, population urbanization lags behind land urbanization, resulting in much higher land and house prices in the east than those in inland PRC. Current land and household registration policies hinder the mobility of production factors, including construction land and the labor force, and distort the process of urbanization and industrialization. The land policy should be revised such that the market determines the allocation of land resources, which will create a unified, competitive urban-rural land market