Análise de expressão diferencial de genes: uma solução computacional para identificação de biomarcadores de tumores gástricos em humanos

Abstract

Cancer is the second leading cause of death worldwide, with gastric cancer the third most fatal form of this disease. In this way, the present work aims to identify possible biomarkers in human gastric cancer tumors through the development of a computational tool dedicated to explore and display differential gene expression and survival analyses of clinical patients. In carrying out this research, the use microarray data available in the public GEO database was made with the following codes: GSE33335, GSE54129. Using these data sets, statistical tests were applied in the search for statistically significant differentially expressed genes. In total, 39 genes were found with differential expression between the kind of tumor tissue and adjacent non-tumor tissue. Within this group of differentially expressed genes, the three with lowest p-values were selected. These genes were then submitted to the C-Gemis tool (own development) for data improvement, by crossing data from the TCGA repository. The results indicate the SIDT2 gene as a potential biomarker for gastric cancer of the diffuse subtype of the Laurén classification. [resumo fornecido pelo autor]