Cyclooxygenase-2 (COX-2) and vascular endothelial growth factor (VEGF)-C are closely related with the development and metastasis of tumors. The gene expression of COX-2 and VEGF-C in gastric cancer and the correlation between them were investigated; 64 paraffin-embedded gastric cancer samples and 22 flesh gastric cancer samples were tested by using immunohistochemistry and the reverse transcription polymerase chain reaction (RT-PCR) technology, respectively. The mean expressive density of COX-2 and VEGF-C mRNA in gastric cancer, with beta-actin coamplified as an internal standard, were both significantly higher than those in non-cancerous gastric mucosa (1.363 +/- 0.351 vs 0.763 +/- 0.304, 0.972 +/- 0.331 vs 0.314 +/- 0.215, p < 0.001). The positive rates of COX-2 and VEGF-C in 64 gastric cancer samples were 72% and 64% respectively. Their expression in the lymph-node metastasis groups were higher than that of the non-lymph-node metastasis groups (p < 0.05). Moreover, there was a close correlation between COX-2 and VEGF-C expression levels (p < 0.05). The study indicates gastric tumor tissues that produce COX-2 and VEGF-C may have a higher lymphatic invasion and metastatic potential. COX-2 may participate in VEGF-C lymphangiogenic pathway and the high expression of them may play an important role in the lymphatic proliferation and spread in gastric cancer.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1385/MO:22:4:389 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Elucidating stearoyl metabolism and NCOA4-mediated ferroptosis in gastric cancer liver metastasis through multi-omics single-cell integrative mendelian analysis: advancing personalized immunotherapy strategies.
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).
Phase I/II Study of Neoadjuvant Chemoradiotherapy Consisting of S-1 and Cisplatin for Patients with Clinically Resectable Type 4 or Large Type 3 Gastric Cancer (OGSG1205).
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.
COL1A1, COL1A2, CHN1, and FN1 Promote Tumorogenesis and Act as Markers of Diagnosis and Survival in Gastric Cancer Patients.
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.
Machine-Learning Based Computed Tomography Radiomics Nomgram For Predicting Perineural Invasion In Gastric Cancer.
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.
Gastric Cancer Models Developed via GelMA 3D Bioprinting Accurately Mimic Cancer Hallmarks, Tumor Microenvironment Features, and Drug Responses.
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 PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!