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Molecular Mechanisms of Magnolol in Gastric Precancerous Lesions: A Computational and Experimental Study.
Chem Biodivers
January 2025
University of South China, Department of Gastroenterology, Chuanshan Road, Hengyang, CHINA.
The formation of gastric precancerous-lesions (GPLs) has been identified as a critical step in tumorigenesis, and patients with GPLs have an increased risk of gastric cancer. Magnolol is the primary biphenolic compound in Magnolia officinalis. It possesses various pharmacological properties, such as cardioprotective and neuroprotective properties, and inhibit tumor growth.
View Article and Find Full Text PDFQuantifying Tumor Budding: Implications for Prognosis in Gastric Adenocarcinoma.
Am J Surg Pathol
January 2025
General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University.
The mechanism of tumor budding (TB) in gastric adenocarcinoma (GAC) and its relationship with biological indicators and prognostic significance, remains unclear. In this study, we conducted a comprehensive analysis using whole-slide imaging to evaluate TB in 75 cases of GAC. Our findings revealed the risk factors associated with TB in GAC and their impact on patient prognosis.
View Article and Find Full Text PDFAltered Cytokine Production in Patients with Infection.
Middle East J Dig Dis
October 2024
Department of Laboratory Sciences, School of Allied Medical Sciences, Ahvaze Jundishapur University of Medical Sciences, Ahvaz, Iran.
Background: is a gram-negative pathogen. The infection caused by this pathogen may result in gastritis and can increase the risk of gastric cancer. This study investigated the relationship between infection as the main risk factor for gastritis and changes in serum inflammatory cytokine levels.
View Article and Find Full Text PDFInvestigating combined hypoxia and stemness indices for prognostic transcripts in gastric cancer: Machine learning and network analysis approaches.
Biochem Biophys Rep
March 2025
Department of Genetics and Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Introduction: Gastric cancer (GC) is among the deadliest malignancies globally, characterized by hypoxia-driven pathways that promote cancer progression, including stemness mechanisms facilitating invasion and metastasis. This study aimed to develop a prognostic decision tree using genes implicated in hypoxia and stemness pathways to predict outcomes in GC patients.
Materials And Methods: GC RNA-seq data from The Cancer Genome Atlas (TCGA) were analyzed to compute hypoxia and stemness scores using Gene Set Variation Analysis (GSVA) and the mRNA expression-based stemness index (mRNAsi).
Deep learning radiomics analysis for prediction of survival in patients with unresectable gastric cancer receiving immunotherapy.
Eur J Radiol Open
June 2025
Department of Medical Oncology, The Fifth Medical Center, Chinese People's Liberation Army General Hospital, Beijing, PR China.
Objective: Immunotherapy has become an option for the first-line therapy of advanced gastric cancer (GC), with improved survival. Our study aimed to investigate unresectable GC from an imaging perspective combined with clinicopathological variables to identify patients who were most likely to benefit from immunotherapy.
Method: Patients with unresectable GC who were consecutively treated with immunotherapy at two different medical centers of Chinese PLA General Hospital were included and divided into the training and validation cohorts, respectively.
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