Background. The aim of this study is to evaluate the incidence of gallstone after gastrectomy, risk factors for gallstone formation, and the surgical outcome of cholecystectomy after gastrectomy. Methods. A total of 2480 gastric cancer patients who underwent curative resection at two institutions between January 1997 and December 2012 were retrospectively reviewed. The patients' age, gender, diabetes mellitus, type of gastrectomy, extent of node dissection, and type of reconstruction were evaluated. Results. Gallstone formation occurred in 128 of 2480 (5.2%) patients who had undergone gastrectomy for gastric cancer. The incidence of gallstones was significantly higher after total compared with subtotal gastrectomy. Roux-en-Y reconstruction and lymph node dissection in the hepatoduodenal ligament were associated with a significantly higher incidence. In multivariate analysis, diabetes mellitus and reconstruction method were identified as significant risk factors for gallstone development. The proportion of silent stone was higher in the laparoscopic cholecystectomy (LC) group than in the open cholecystectomy (OC) group. Operation time and hospital stay were shorter in the LC group than in the OC group. Conclusions. Diabetes mellitus and Roux-en-Y reconstruction are risk factors for gallstones after gastrectomy. Only a few postoperative complications after subsequent cholecystectomy occurred, even when using a laparoscopic approach.
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http://dx.doi.org/10.1155/2015/827864 | DOI Listing |
Discov Oncol
January 2025
Western Institute of Digital-Intelligent Medicine, 401329, Chongqing, China.
Background: The metabolism of stearoyl-GPE plays a key role in the liver metastasis of gastric cancer. This investigation delves into the mechanisms underlying the intricate tumor microenvironment (TME) heterogeneity triggered by stearoyl metabolism in gastric cancer with liver metastasis (LMGC), offering novel perspectives for LMGC.
Objective: Utilizing Mendelian randomization, we determined that stearoyl metabolism significantly contributes to the progression of gastric cancer (GC).
Ann Surg Oncol
January 2025
Department of Surgery, Faculty of Medicine, Kindai University, Osaka-Sayama, Osaka, Japan.
Background: To improve the prognosis of clinically resectable type 4 or large type 3 gastric cancer (GC), we performed a phase I/II study of neoadjuvant-radiotherapy combined with S-1 plus cisplatin.
Patients And Methods: Phase I, with a standard 3 + 3 dose-escalation design, was performed to define the recommended phase II dose. Efficacy and safety were evaluated in phase II.
Curr Pharm Biotechnol
January 2025
Department of Intensive Care Unit, Affiliated Hospital of Guangdong Medical University, 524000 Zhanjiang, China.
Objectives: This study aimed to comprehensively investigate the molecular landscape of gastric cancer (GC) by integrating various bioinformatics tools and experimental validations.
Methodology: GSE79973 dataset, limma package, STRING, UALCAN, GEPIA, OncoDB, cBioPortal, DAVID, TISIDB, Gene Set Cancer Analysis (GSCA), tissue samples, RT-qPCR, and cell proliferation assay were employed in this study.
Results: Analysis of the GSE79973 dataset identified 300 differentially expressed genes (DEGs), from which COL1A1, COL1A2, CHN1, and FN1 emerged as pivotal hub genes using protein-protein interaction network analysis.
Curr Med Imaging
January 2025
Department of Radiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objective: The aim of this study was to develop and validate predictive models for perineural invasion (PNI) in gastric cancer (GC) using clinical factors and radiomics features derived from contrast-enhanced computed tomography (CE-CT) scans and to compare the performance of these models.
Methods: This study included 205 GC patients, who were randomly divided into a training set (n=143) and a validation set (n=62) in a 7:3 ratio. Optimal radiomics features were selected using the least absolute shrinkage and selection operator (LASSO) algorithm.
Small
January 2025
Department of Surgical Oncology and General Surgery Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Current in vitro models for gastric cancer research, such as 2D cell cultures and organoid systems, often fail to replicate the complex extracellular matrix (ECM) found in vivo. For the first time, this study utilizes a gelatin methacryloyl (GelMA) hydrogel, a biomimetic ECM-like material, in 3D bioprinting to construct a physiologically relevant gastric cancer model. GelMA's tunable mechanical properties allow for the precise manipulation of cellular behavior within physiological ranges.
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