Interações realizadas por genes líderes do câncer de mama: uma abordagem computacional

Objective: To identify the leading genes and their interactions in the breast cancer network. Methods: This is an exploratory research of a computational nature. Identification of genes involved with breast cancer was performed in the GeneCards human genetics database. For this, the descriptor breast cancer, selected in the medical subject headings library, was used. After identifying the genes, a genomic map was constructed with the help of the Software Search Tool for the Retrieval of Interacting Genes / Proteins version 10.0. Results: 8,610 genes were identified and 400 genes with the highest scores were selected for genomic interaction mapping. The genes TP53, PIK3CA, AKT1, EGFR, MAPK1, EP300, SRC and CDK2 were considered the leading genes of the breast cancer network, which interacted with 90, 88, 64, 62, 60, 66, 58 and 52 genes respectively. Interactions between the leading genes and genes belonging to distinct molecular pathways were performed. Conclusion: Computational mapping of the genes most relevant to the breast cancer condition revealed TP53, PIK3CA, AKT1, EGFR, MAPK1, EP300, SRC and CDK2 as the leading genes and the interactions carried out by them within the study network.