Bioinformatic Analysis Profiling of Transformed Colon and Fallopian Tubes Organoids

Transcriptomic analysis represents a fundamental approach to understanding the gene regulatory networks involved in tumorigenesis. In this study, murine organoids were analyzed as a model of colon and ovarian cancer to investigate the potentially oncogenic role of the STARD3 and PIN1 genes. Bioinformatic analyses were conducted using Python in the Visual Studio Code environment, based on fold-enrichment data obtained from g:Profiler and STRING. The information derived from functional enrichment, including KEGG pathways, was processed and visualized using dedicated packages (Pandas, Matplotlib, Seaborn). In the colon cancer model, STARD3 overexpression was associated with significant alterations in the expression of genes associated with tumor-related functions, including proliferation, calcium signaling, intracellular communication, and adhesion. Overall, the data highlight potential relationships between STARD3 expression and changes in cellular and molecular processes and these results lay the foundation for future analyses into the role of PIN1 in high-grade serous ovarian carcinoma (HGSOC).