Computational Biology and Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 108331 - 108331
Published: Dec. 1, 2024
Language: Английский
Computational Biology and Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 108331 - 108331
Published: Dec. 1, 2024
Language: Английский
International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(20), P. 11113 - 11113
Published: Oct. 16, 2024
Gastric cancer (GC) is a complex and highly variable disease, ranking among the top five cancers diagnosed globally, leading cause of cancer-related deaths. Emerging from stomach lining cells amid chronic inflammation, it often advances to preneoplastic stages. Late-stage diagnoses treatment challenges highlight critical need for early detection innovative biomarkers, motivating this study's focus on identifying theranostic markers through gene ontology analysis. By exploring deregulated biological processes, study aims uncover insights into progression associated markers, potentially novel candidates in GC. Using public data The Human Protein Atlas, pinpointed 299 prognostic genes, delineating 171 with unfavorable prognosis 128 favorable prognosis. Functional enrichment protein-protein interaction analyses, supported by RNAseq results conducted via Metascape Cytoscape, highlighted genes (
Language: Английский
Citations
0Computational Biology and Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 108331 - 108331
Published: Dec. 1, 2024
Language: Английский
Citations
0