In-Silico Analysis to Identify Differentially Expressed and Methylated Genes in Esophageal Squamous Cell Carcinoma: Search for Potential Biomarkers
| Autor: | Shubhi Gupta, Aprajita Srivastava, Rinu Sharma |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | ECS Transactions. 107:13069-13088 |
| ISSN: | 1938-6737 1938-5862 |
| Popis: | Early detection and diagnosis aided by quality treatment and proper patient care is crucial for reducing the overwhelming cancer burden. Esophageal Squamous Cell Carcinoma (ESCC) is a highly aggressive cancer of esophageal epithelial cells and it is associated with high mortality rates, poor prognosis, differences in patient response to specific treatment modalities, and metastatic potential. Despite various therapeutic interventions, there have not been any remarkable results in parameters like increase in prognosis, and 5-year survival rates. New diagnostic biomarkers specific to the stage and patient response will provide significant therapeutic targets for ESCC. Differential changes in gene expression and aberrant DNA methylation can be used for elucidating biomarkers for early diagnosis, better prognosis, chemoprevention, and personalized therapy. In this study, integrated bioinformatics analysis has been applied to identify differentially expressed and aberrantly methylated genes in ESCC. For insights into molecular mechanisms and pathogenesis of ESCC, notable pathways associated with ESCC were identified. |
| Databáze: | OpenAIRE |
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