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Prognostic value of inflammation and nutritional indicators for sinonasal squamous cell carcinoma: A single-center retrospective study.
Laryngoscope Investig Otolaryngol
February 2025
Department of Otolaryngology, Head and Neck Surgery The Affiliated Hospital of Qingdao University Qingdao China.
Introduction: Systemic inflammatory and nutritional markers are associated with the prognosis of various cancers. However, their association with sinonasal squamous cell carcinoma (SNSCC) prognosis remains unclear. This study aimed to identify systemic inflammatory and nutritional markers associated with the postoperative prognosis of patients with SNSCC and to clarify the clinical value of these markers.
View Article and Find Full Text PDFA 3D Model of the Human Lung Airway for Evaluating Permeability of Inhaled Drugs.
ACS Pharmacol Transl Sci
January 2025
Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, United States Food and Drug Administration (FDA), Silver Spring, Maryland 20993, United States.
Current in vitro cell-based methods, relying on single cell types, have structural and functional limitations in determining lung drug permeability, which is a contributing factor affecting both local and systemic drug levels. To address this issue, we investigated a 3D human lung airway model generated using a cell culture insert, wherein primary human lung epithelial and endothelial cells were cocultured at an air-liquid interface (ALI). To ensure that the cell culture mimics the physiological and functional characteristics of airway tissue, the model was characterized by evaluating several parameters such as cellular confluency, ciliation, tight junctions, mucus-layer formation, transepithelial electrical resistance, and barrier function through assaying fluorescein isothiocyanate-dextran permeability.
View Article and Find Full Text PDFDiagnostic accuracy of folate receptor-positive circulating tumor cells in differentiating between benign and malignant pulmonary nodules.
Transl Cancer Res
December 2024
Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Background: Currently, traditional blood biomarkers such as neuron-specific enolase (NSE), carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCCA) etc. are mostly elevated in the late stage of tumour, and patients have already lost the chance of tumour eradication when the relevant indexes are found to be elevated. Therefore, there is a need for blood biomarkers with higher sensitivity, better specificity, and better accessibility.
View Article and Find Full Text PDFGut Microbiome and Metabolite Characteristics Associated With Different Clinical Stages in Non-Small Cell Lung Cancer Patients.
Cancer Manag Res
January 2025
Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Objective: Our research has pinpointed the gut microbiome's role in the progression of various pathological types of non-small cell lung cancer (NSCLC). Nonetheless, the characteristics of the gut microbiome and its metabolites across different clinical stages of NSCLC are yet to be fully understood. The current study seeks to explore the distinctive gut flora and metabolite profiles of NSCLC patients across varying TNM stages.
View Article and Find Full Text PDFModels and Biomarkers for Local Response Prediction in Early-Stage and Oligometastatic Non-small Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy Using Machine Learning.
Cureus
December 2024
Anna and Peter Brojde Lung Cancer Center, Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montreal, CAN.
Background A minority of patients receiving stereotactic body radiation therapy (SBRT) for non-small cell lung cancer (NSCLC) are not good responders. Radiomic features can be used to generate predictive algorithms and biomarkers that can determine treatment outcomes and stratify patients to their therapeutic options. This study investigated and attempted to validate the radiomic and clinical features obtained from early-stage and oligometastatic NSCLC patients who underwent SBRT, to predict local response.
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