Background: The prevalence of laryngeal squamous cell carcinoma (LSCC) is increasing, and it poses a significant threat to human health; therefore, identifying specific targets for LSCC remains crucial.
Methods: Bioinformatics analysis was used to compare the different expression genes expressed in LSCC. Immunohistochemical assay and western blotting were used to analysis protein expression. Cell viability was measured by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide)((4,5 Dimethyl thiazol-2-Yl)-2,5-Diphenyltetrazolium Bromide)4,5 Dimethyl thiazol-2-Yl)-2,5-Diphenyltetrazolium Bromide (MTT) and 5-ethynyl 2'-deoxyuridine (Edu) assay. Flow cytometry was used to measure the cell cycle. Cell migration was measured by wound healing assay and transwell assay.
Results: Our analysis revealed 36 upregulated and 65 downregulated differentially expressed genes (DEGs) when comparing LSCC tumors to adjacent tissues, with cornulin (CRNN) identified as a key hub gene connecting these DEGs. We observed a consistent downregulation of CRNN expression in LSCC cell lines and tissues and was associated with poor patient survival and the tumor microenvironment. CRNN overexpression was found to significantly inhibit cell growth, cell cycle progression, migration and invasion, while CRNN knockdown had the opposite effects. Additionally, experiments demonstrated that CRNN overexpression suppressed tumor growth in nude mice.
Conclusions: CRNN functions as a potential tumor suppressor and regulates important aspects of LSCC, providing valuable insights into the role of CRNN in LSCC pathogenesis and potential for targeted therapeutic interventions.
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http://dx.doi.org/10.31083/j.fbl2903125 | DOI Listing |
Alzheimers Dement
December 2024
Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, Beijing, China.
Background: Staging Alzheimer's disease pathology is critical for therapeutic trials and prognosis. Disease staging with amyloid and tau PET provides high accuracy, but this would be more practical with fluid biomarkers. However, current fluid biomarkers are deficient in tracking specific disease stages, especially in advanced stages.
View Article and Find Full Text PDFApoptosis
December 2024
Department of Physiology, University of Calcutta, Kolkata, West Bengal, India.
Arsenic-mediated neurodegenerative disorders affect millions of individuals globally, but the specific impact of environmental arsenic on adult cerebellar degeneration and neurogenesis is incompletely understood. Of particular concern is arsenic-induced apoptosis-driven neurodegeneration. Our major objective was to investigate the molecular signaling intricacies associated with arsenic-induced death of cerebellar neurons and to propose folic acid as a possible intervention.
View Article and Find Full Text PDFOral Surg Oral Med Oral Pathol Oral Radiol
November 2024
Oral Medicine, Oral Surgery and Implantology Unit (MedOralRes Group), Faculty of Medicine and Dentistry, Universidade de Santiago de Compostela, Coruña, Spain; Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain.
Objective: This study investigates the proteomic profiles of oral epithelial dysplasia with lichenoid features (OEDwithLF) and evaluates its relevance as a histopathological feature for lichenoid mucositis (LM) through differential proteomic characterization.
Study Design: SWATH-MS proteomic profiling was conducted on FFPE samples from 6 OEDwithLF, 5 OED cases without associated lymphocytic infiltration, and 5 LM cases. Protein expression levels were quantified and compared.
Cogn Neurodyn
October 2024
Control Science and Engineering, School of Engineering, Qufu Normal University, Rizhao, Shandong Province China.
Through emotion recognition with EEG signals, brain responses can be analyzed to monitor and identify individual emotional states. The success of emotion recognition relies on comprehensive emotion information extracted from EEG signals and the constructed emotion identification model. In this work, we proposed an innovative approach, called spatial-spectral-temporal-based convolutional recurrent neural network (CRNN) with lightweight attention mechanism (SST-CRAM).
View Article and Find Full Text PDFBioengineering (Basel)
November 2024
Department of Engineering Physics, McMaster University, Hamilton, ON L8S 4K1, Canada.
Chronic cough is associated with several respiratory diseases and is a significant burden on physical, social, and psychological health. Non-invasive, real-time, continuous, and quantitative monitoring tools are highly desired to assess cough severity, the effectiveness of treatment, and monitor disease progression in clinical practice and research. There are currently limited tools to quantitatively measure spontaneous coughs in daily living settings in clinical trials and in clinical practice.
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