A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data.
Saqib RaufSami UllahMuhammad Adil AbidAsad UllahGullzar KhanAinee Urooj KhanGulzar AhmadMuhammad IjazSidra AhmadSulaiman FaisalPublished in: Future science OA (2024)
Aim: Head and Neck squamous cell carcinoma (HNSCC) is the second most prevalent cancer in Pakistan. Methods: Gene expression data from TCGA and GETx for normal genes to analyze Differentially Expressed Genes (DEGs). Data was further investigated using the Enrichr tool to perform Gene Ontology (GO). Results: Our analysis identified most significantly differentially expressed genes and explored their established cellular functions as well as their potential involvement in tumor development. We found that the highly expressed Keratin family and S100A9 genes. The under-expressed genes KRT4 and KRT13 provide instructions for the production of keratin proteins. Conclusion: Our study suggests that factors such as poor oral hygiene and smokeless tobacco can result in oral stress and cellular damage and cause cancer.
Keyphrases
- gene expression
- genome wide
- genome wide identification
- dna methylation
- bioinformatics analysis
- electronic health record
- papillary thyroid
- genome wide analysis
- big data
- squamous cell carcinoma
- transcription factor
- squamous cell
- oxidative stress
- risk assessment
- high resolution
- young adults
- lymph node metastasis
- high speed
- single molecule