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        Double Tract Reconstruction Reduces Reflux Esophagitis and Improves Quality of Life after Radical Proximal Gastrectomy for Patients with Upper Gastric or Esophagogastric Adenocarcinoma

        Xin Ji,Chenggen Jin,Ke Ji,Ji Zhang,Xiaojiang Wu,Ziyu Jia,Zhaode Bu,Jiafu Ji 대한암학회 2021 Cancer Research and Treatment Vol.53 No.3

        Purpose The aim of the present study was to compare the difference between double tract reconstruction and esophagogastrostomy.Materials and Methods Patients who underwent radical proximal gastrectomy with esophagogastrostomy or double tract reconstruction were included in this study.Results Sixty-four patients were included in this study and divided into two groups according to reconstruction method. The two groups were well balanced in perioperative safety and 3-year overall survival (OS). The rates of postoperative reflux esophagitis in the double tract reconstruction group and esophagogastrostomy group were 8.0% and 30.8%, respectively (p=0.032). Patients in the double tract reconstruction group had a better global health status (p < 0.001) and emotional functioning (p < 0.001), and complained less about nausea and vomiting (p < 0.001), pain (p=0.039), insomnia (p=0.003), and appetite loss (p < 0.001) based on the European Organization for Research and Treatment of Cancer (EORTC) QLQ-C30 questionnaire. Regarding the EORTC QLQ-STO22 questionnaire, patients in the double tract reconstruction group complained less about dysphagia (p=0.030), pain (p=0.008), reflux (p < 0.001), eating (p < 0.001), anxiety (p < 0.001), dry mouth (p=0.007), and taste (p=0.001). The multiple linear regression analysis showed that reconstruction method, postoperative complications, reflux esophagitis, and operation duration had a linear relationship with the global health status score.Conclusion Double tract reconstruction could better prevent reflux esophagitis and improve quality of life without scarifying perioperative safety or 3-year OS.

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        An Innovative Prognostic Model Based on Four Genes in Asian Patient with Gastric Cancer

        Jiahui Chen,Anqiang Wang,Jun Ji,Kai Zhou,Zhaode Bu,Guoqing Lyu,Jiafu Ji 대한암학회 2021 Cancer Research and Treatment Vol.53 No.1

        Purpose Gastric cancer (GC) has substantial biological differences between Asian and non-Asian populations, which makes it difficult to have a unified predictive measure for all people. We aimed to identify novel prognostic biomarkers to help predict the prognosis of Asian GC patients. Materials and Methods We investigated the differential gene expression between GC and normal tissues of GSE66229. Univariate, multivariate and Lasso Cox regression analyses were conducted to establish a four-gene-related prognostic model based on the risk score. The risk score was based on a linear combination of the expression levels of individual genes multiplied by their multivariate Cox regression coefficients. Validation of the prognostic model was conducted using The Cancer Genome Atlas (TCGA) database. A nomogram containing clinical characteristics and the prognostic model was established to predict the prognosis of Asian GC patients. Results Four genes (RBPMS2, RGN, PLEKHS1, and CT83) were selected to establish the prognostic model, and it was validated in the TCGA Asian cohort. Receiver operating characteristic analysis confirmed the sensitivity and specificity of the prognostic model. Based on the prognostic model, a nomogram containing clinical characteristics and the prognostic model was established, and Harrell’s concordance index of the nomogram for evaluating the overall survival significantly higher than the model only focuses on the pathologic stage (0.74 vs. 0.64, p < 0.001). Conclusion The four-gene-related prognostic model and the nomogram based on it are reliable tools for predicting the overall survival of Asian GC patients.

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        TEM fitting considering TEPs of contact interface of meshing gear

        Xigui Wang,Siyuan An,Yongmei Wang,Jiafu Ruan,ShuE Ji 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.10

        This topic aims to clarify the method of optimizing tooth surface modification (TSM) fitting under thermoelastic lubrication (TEL) conditions to reveal the most popular and concerning mechanism issues in mechanical engineering. A traditional TSM numerical method has played an increasingly important role in our basic understanding of thermoelastic properties (TEPs) under TEL conditions, which is undoubtedly affirmative and effective. This subject involves the TSM fitting of the theoretical tooth surface superimposed structure, and performs 3D and diagonal modification optimization design, obtains the modified surface position and normal vectors, a variety of optimized modification models are established and complex curved surfaces are analyzed to fit the actual Interface thermoelastic contact numerical simulation, which has been further demonstrated and expressed in actual key working conditions and multiple influencing parameters, thereby reducing transmission error and vibration noise in order to improve gear meshing thermoelastic anti-scuffing load-bearing performance (TEASLBP).

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