INTERNATIONAL CONGRESS OF
CancerGenetics
Identification of Stage-Specific Genes in Cervical Cancer Using Bioinformatics Tools
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Akram Rahimi-Moghaddam,1,*
1. Alzahra University
- Introduction: Cervical cancer is the fourth most common cancer among women in the world. Previous studies reported that gene expression may be altered in cervical cancer stages. The identification of stage-specific gene expression patterns can be applied in the accurate detection and selection of appropriate treatment. This research evaluated the gene expression changes in different stages of cervical cancer utilizing bioinformatics tools.
- Methods: Differentially expressed genes (DEGs) between different stages of cervical cancer were identified using the GEO2R tool on HPV16-positive samples from the GSE151666 dataset. The first comparative analysis was conducted between stage IIIb (n=8) and stage IIb (n=12), and the second analysis was conducted between stage IIb (n=12) and stage Ib2 (n=9).
- Results: Sixteen downregulated and twenty-five upregulated genes were detected in stage IIIb compared to stage IIb, and the MUC16 (log2FC = -4.6, padj = 3.47e-06) and NTS (log2FC = 3.9, padj = 7.88e-05) genes indicated the most downregulation and upregulation, respectively. Comparison of stage IIb to stage Ib2 using the GEO2R tool revealed downregulation of fifty-eight genes and upregulation of seven genes, and the highest downregulation and upregulation belonged to KRT1 (log2FC = -5.9, padj = 7.74e-06) and GLDC (log2FC = 3.7, padj = 0.0043) genes, respectively.
- Conclusion: The results of this study demonstrated that measuring MUC16 and NTS gene expression can differentiate stage IIIb from stage IIb cervical cancer, while evaluating KRT1 and GLDC gene expression can distinguish stage IIb from stage Ib2.
- Keywords: Cervical cancer, Stage IIIb, Stage IIb, Stage Ib2, Bioinformatics analysis
