Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Introduction: Several previous studies have shown that differential expression of cullin (CUL) family proteins may be involved in mediation of the signal transduction pathways associated with cancer. However, the function of CULs is still unclear in head and neck squamous cell carcinoma (HNSCC).
Material And Methods: We used The Cancer Genome Atlas (TCGA) database, cBioPortal, Metascape, STRING, Cytoscape, Tumor Immune Estimation Resource (TIMER), Kaplan-Meier plotter, and Tumor Immune System Interaction Database (TISIDB) to access the expression of CULs and the possible correlation with the tumourigenesis, development, prognosis, immunity, and transcriptional level of CULs in HNSCC. Furthermore, real-time quantitative polymerase chain reaction (RT-qPCR) was used to detect messenger ribonucleid acid (mRNA) levels in HNSCC tissues and cell samples. We also explored the cell proliferation and migration separately by CCK8 assay and wound healing assay.
Results: The results showed that the expressions of CUL2/4A were upregulated and CUL9 was downregulated in HNSCC patients as compared with normal patients. CUL2/4A/9 were also linked to the clinicopathological features and overall survival of HNSCC in bioinformatics analysis. Moreover, we noticed that CUL2/4A/9 may take part in tumour-specific immune response by modulating the tumour-infiltrating lymphocytes (TILs) and immunomodulators. Lastly, we found that CUL2/4A/9 could promote cellular proliferation and migration.
Conclusion: These results suggest that the transcriptional levels of CUL2/4A/9 were upregulated and these genes could affect proliferation and migration of HNSCC cells. Therefore, CUL2/4A/9 could potentially function as novel independent biomarkers in HNSCC patients.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.5603/EP.a2023.0029 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Simulated metabolic profiles reveal biases in pathway analysis methods.
Metabolomics
September 2025
Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France.
Introduction: Initially developed for transcriptomics data, pathway analysis (PA) methods can introduce biases when applied to metabolomics data, especially if input parameters are not chosen with care. This is particularly true for exometabolomics data, where there can be many metabolic steps between the measured exported metabolites in the profile and internal disruptions in the organism. However, evaluating PA methods experimentally is practically impossible when the sample's "true" metabolic disruption is unknown.
View Article and Find Full Text PDFMetatranscriptomics-based metabolic modeling of patient-specific urinary microbiome during infection.
NPJ Biofilms Microbiomes
September 2025
Research Group Medical Systems Biology, University Hospital Schleswig-Holstein Campus Kiel, 24105 Kiel University, Kiel, Schleswig-Holstein, Germany.
Urinary tract infections (UTIs) are among the most common bacterial infections and are increasingly complicated by multidrug resistance (MDR). While Escherichia coli is frequently implicated, the contribution of broader microbial communities remains less understood. Here, we integrate metatranscriptomic sequencing with genome-scale metabolic modeling to characterize active metabolic functions of patient-specific urinary microbiomes during acute UTI.
View Article and Find Full Text PDFComputational pathology annotation enhances the resolution and interpretation of breast cancer spatial transcriptomics data.
NPJ Precis Oncol
September 2025
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Breast cancer is a highly heterogeneous disease with diverse outcomes, and intra-tumoral heterogeneity plays a significant role in both diagnosis and treatment. Despite its importance, the spatial distribution of intra-tumoral heterogeneity is not fully elucidated. Spatial transcriptomics has emerged as a promising tool to study the molecular mechanisms behind many diseases.
View Article and Find Full Text PDFUnravelling novel microbial players in the breast tissue of TNBC patients: a meta-analytic perspective.
NPJ Biofilms Microbiomes
September 2025
Bioinformatics Group, Centre for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, Egypt.
Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer (BC), accounting for nearly 40% of BC-related deaths. Emerging evidence suggests that the breast tissue microbiome harbors distinct microbial communities; however, the microbiome specific to TNBC remains largely unexplored. This study presents the first comprehensive meta-analysis of the TNBC tissue microbiome, consolidating 16S rRNA amplicon sequencing data from 200 BC samples across four independent cohorts.
View Article and Find Full Text PDFA numerical investigation of the kinematic and fluid dynamic behaviour of an intramuscular autoinjector designed for optimising injection efficiency.
Med Eng Phys
October 2025
Department of Mechanical Engineering, University of Cape Town, 7701, South Africa; Centre for Research in Computational and Applied Mechanics (CERECAM), University of Cape Town, 7701, South Africa.
The usability and versatility of autoinjectors in managing chronic and autoimmune diseases have made them increasingly attractive in medicine. However, investigations into autoinjector designs require an understanding of the kinematic properties and fluid behaviour during injection. To optimise injection efficiency, this study develops a mathematical and computational fluid dynamics (CFD) model of an IM autoinjector by investigating the effects of viscosity, needle length, needle diameter, and medication volume on the injection process.
View Article and Find Full Text PDF