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Evaluating the Association Between Methylenetetrahydrofolate Reductase (Rs1801131 and Rs1801133) Gene Polymorphisms and Severity of Coronary Lesions in Patients With STEMI and NSTEMI: A Retrospective Cross-Sectional Study.
Health Sci Rep
January 2025
Yazd Cardiovascular Research Center, Non-communicable Diseases Research Institute Shahid Sadoughi University of Medical Sciences Yazd Iran.
Background And Aims: Mounting evidence have implicated that rs1801131 and rs1801133, located in the Methylenetetrahydrofolate reductase (MTHFR) gene, may emerge as novel biomarkers for coronary artery disease (CAD). The Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score is also an appropriate predictor for revascularization strategy in patients with complex CAD. The aim of this study is to investigate the correlation between rs1801131 and rs1801133 with the severity of coronary lesions in patients with ST‑Elevation Myocardial Infarction (STEMI) and Non‑ST‑Elevation Myocardial Infarction (NSTEMI) based on the SYNTAX score.
View Article and Find Full Text PDFIdentify characteristics of Vietnamese oral squamous cell carcinoma patients by machine learning on transcriptome and clinical-histopathological analysis.
J Dent Sci
December 2024
Blood Transfusion Haematology Hospital No. 2, Ho Chi Minh City, Viet Nam.
Background/purpose: Oral squamous cell carcinoma (OSCC) is notorious for its low survival rates, due to the advanced stage at which it is commonly diagnosed. To enhance early detection and improve prognostic assessments, our study harnesses the power of machine learning (ML) to dissect and interpret complex patterns within mRNA-sequencing (RNA-seq) data and clinical-histopathological features.
Materials And Methods: 206 retrospective Vietnamese OSCC formalin-fixed paraffin-embedded (FFPE) tumor samples, of which 101 were subjected to RNA-seq for classification based on gene expression.
Investigating 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).
Analysis of endometrial liquid‑based cytology samples to detect somatic mutations and classify ovarian cancer.
Oncol Lett
March 2025
Department of Obstetrics and Gynecology, Mie University School of Medicine, Tsu, Mie 514-8507, Japan.
Ovarian cancer has a poor prognosis, and screening methods have not been established. Biomarkers based on molecular genetic characteristics must be identified to develop diagnostic and therapeutic strategies for all cancer types, particularly ovarian cancer. The present study aimed to evaluate the usefulness of genetic analysis of cervical and endometrial liquid-based cytology (LBC) specimens for detecting somatic mutations in patients with ovarian cancer.
View Article and Find Full Text PDFScreening potential diagnostic biomarkers for PLA2R‑associated idiopathic membranous nephropathy by WGCNA analysis and LASSO algorithm.
Ren Fail
December 2025
Department of Nephrology, Xiamen Key Laboratory of Precision Diagnosis and Treatment of Chronic Kidney Disease, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Adult nephrotic syndrome is primarily caused by membranous nephropathy (MN), with idiopathic membranous nephropathy (IMN) being a prominent subtype. The onset of phospholipase A2 receptor (PLA2R1)-associated IMN is critically linked to M-type PLA2R1 exposure, yet the mechanism underlying glomerular injury remains unclear. In this study, membranous nephropathy datasets (GSE115857, GSE200828) were retrieved from GEO.
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