Ontology highlight
ABSTRACT: Background
Human papillomavirus (HPV) is considered to be responsible for 95% of virus-related cancers in many organs. Oropharyngeal carcinoma (OC) is distinguished by the transformation of the healthy epithelium into precancerous cells.Aim
The current study sought to examine the uneven gene expression of 20 genes among those scanned by microarray for oropharyngeal cancer patients.Materials and methods
The GSE56142 dataset was extracted from the Gene Expression Omnibus of the National Center for Biotechnology Information; 24 specimens were evaluated. Gene ontology (GO), the Kyoto Encyclopedia of Genes and Genomes, and the protein-protein interaction (PPI) were used to depict the biological roles of the genes under investigation using types of software.Results
Six genes out of 20 in patients with invasive OC had a binding correlation with high expression (PDGFRS, COL6A3, COL1A1, COL3A1, COL2A1, and COL4A1), and only two genes with low expression (CRCT1 and KRT78). The expression levels of 20 genes were examined for patients with OC versus head and neck squamous cell carcinoma (HNSCC). The correlation coefficient between highly expressed genes of the OC group was statistically significant at the P<0.05 level.Conclusions
High expression levels of specific genes may serve as diagnostic tumor markers, particularly in the early stages of cancer, and testing should be performed in OC and HNSCC patients.
SUBMITTER: Dawood AA
PROVIDER: S-EPMC10619986 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature
Rambam Maimonides medical journal 20231029 4
<h4>Background</h4>Human papillomavirus (HPV) is considered to be responsible for 95% of virus-related cancers in many organs. Oropharyngeal carcinoma (OC) is distinguished by the transformation of the healthy epithelium into precancerous cells.<h4>Aim</h4>The current study sought to examine the uneven gene expression of 20 genes among those scanned by microarray for oropharyngeal cancer patients.<h4>Materials and methods</h4>The GSE56142 dataset was extracted from the Gene Expression Omnibus of ...[more]