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Spatial single-cell maps reveal ST6GAL1 promoting ovarian cancer metastasis.
Glycoconj J
January 2025
Department of Radiology, First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, Guangxi, 530021, China.
In this study, spatial and single-cell transcriptome techniques were used to investigate the role of beta-galactoside alpha-2,6-sialyltransferase 1 (ST6GAL1) in promoting peritoneal metastasis in ovarian cancer epithelial cells. We collected single-cell transcriptomic (GSE130000) and spatial transcriptomic datasets (GSE211956) from the Gene Expression Omnibus and RNA-sequencing data from The Cancer Genome Atlas. The Robust Cell Type Decomposition (RCTD) approach was implemented to integrate spatial and single-cell transcriptomic data.
View Article and Find Full Text PDFLow skeletal muscle mass contributes to the prognosis of patients with superficial esophageal cancer treated with definitive chemoradiotherapy.
Esophagus
January 2025
Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Background: Herein, we aimed to examine the relationship between sarcopenia, neutrophil-lymphocyte ratio (NLR), Charlson comorbidity index (CCI), and prognostic nutritional index (PNI) in patients with superficial esophageal carcinoma who underwent definitive chemoradiotherapy (CRT).
Methods: We retrospectively analyzed 100 patients (87 males) diagnosed with cT1N0M0 esophageal squamous cell carcinoma. The included patients underwent CRT as an initial treatment.
Multiparametric MRI-based machine learning system of molecular subgroups and prognosis in medulloblastoma.
Eur Radiol
January 2025
Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Objectives: We aimed to use artificial intelligence to accurately identify molecular subgroups of medulloblastoma (MB), predict clinical outcomes, and incorporate deep learning-based imaging features into the risk stratification.
Methods: The MRI features were extracted for molecular subgroups by a novel multi-parameter convolutional neural network (CNN) called Bi-ResNet-MB. Then, MR features were used to establish a prognosis model based on XGBoost.
Cardiac sarcoidosis; update for the heart failure specialist.
Curr Opin Cardiol
January 2025
Division of Cardiology, University of Ottawa Heart Institute, University of Ottawa, Faculty of Medicine, Tier 1 Clinical Research Chair in Cardiac Electrophysiology, Ottawa, ON, Canada.
Purpose Of Review: This review presents contemporary data on epidemiology, common presentations, investigations and diagnostic algorithms, treatment and prognosis. It particularly focuses on topics of most relevance to heart failure specialists, including what left ventricle (LV) function changes can be expected after treatment and outcomes to all standard and advanced heart failure therapies.
Recent Findings: Around 5% of sarcoidosis patients have clinically manifest cardiac sarcoidosis (CS), presenting with significant arrhythmias (such as conduction disturbances and ventricular arrhythmias) or newly developed unexplained heart failure.
Background: Sodium-glucose co-transporter-2 (SGLT-2) inhibitors have been added to the mainstay of treatment for chronic heart failure. Recent studies suggest that empagliflozin may also reverse cardiac remodeling in heart failure by reducing N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels. In our study, we wanted to show the decrease in NT-proBNP levels, which is an indicator of poor prognosis in heart failure, and to see if there was a decrease in the rate of renal progression in patients with HF after empagliflozin use.
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