Evaluation to Develop a Bioinformatics Pipeline that Utilizes DNA Barcoding Methods to Identify Novel Genetic or Epigenetic Cancer Biomarkers Across Various Cancer Types

This study examines transcriptional changes caused by treatment using differential gene expression and enrichmentanalysis. Gene Ontology (GO) enrichment revealed notable increase in biological processes connected to ribonucleoproteincomplex biogenesis, ribosome biogenesis, and rRNA metabolic processes, as well as cellular components including thenucleolus and organelle lumen. Pathway enrichment with KEGG and Reactome databases showed increased activity instress-response processes driven by EIF2AK4/GCN2, translation elongation, rRNA processing, and ribosome production.The increase of MYC-controlled gene sets also became clear, implying a key role for MYC in propelling transcriptionaland translational activity. The notable enrichment of MYC targets and MYC-serum response genes was confirmed by GeneSet Enrichment Analysis (GSEA). With several genes exhibiting statistically significant expression changes, differentialexpression analysis between control and treated conditions revealed different gene regulation patterns, suggesting particularpathways altered by the treatment. These data combined demonstrate that the therapy activates MYC-driven transcriptionalprograms and increases ribosome and RNA processing activities, implying improved cellular biosynthetic and proliferativepotential.