Epstein-Barr virus (EBV) is a human tumor-associated virus that encodes various microRNAs. EBV infection causes a variety of malignant tumors, including nasopharyngeal carcinoma and gastric cancer, etc. EBV-associated gastric cancer (EBVaGC) has unique molecular characteristics from other gastric cancers, but its pathogenic mechanism remains unclear. In recent years, erythropoietin-producing human hepatocellular 2 (EphA2) has been reported to be highly expressed in various cancers and promote tumor growth and metastasis. As an important cancer oncogene, EphA2 is a potential therapeutic target. However, whether EBV is involved in the regulation of EphA2 and thus affects the progression of EBVaGC remains unclear. In this study, we found that the expression of EphA2 in EBVaGC cells was significantly lower than that in EBV-negative gastric cancer (EBVnGC) cells. Additionally, overexpression of EphA2 in EBVaGC cells promoted migration and proliferation, and inhibited autophagy. EBV-miR-BART1-3p and BART18-5p were found to target the 3'-UTR of EphA2 and down-regulate its expression. Our results suggest that EBV may be involved in gastric cancer progression by targeting EphA2 through BART1-3p and BART18-5p.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11262-023-02023-w | 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.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!