Figure 4
From: A novel approach to identify driver genes involved in androgen-independent prostate cancer
Differential expression in normal prostate tissue vs. PCa tissue for candidate AIPC genes. Oncomineâ„¢ (Compendia Bioscience, Ann Arbor, MI) was used for analysis and visualization. The Oncomineâ„¢ database was queried using gene names for ATPAF1, GCOM1, MEX3D, PTRF, and TRPM4 using the Cancer vs. Normal Analysis, and selecting PCa vs. Normal analysis. This provides gene expression levels in healthy prostate tissue (left side, control), and prostate carcinoma or prostate adenocarcinoma tissue samples (right side, PCa). The data is represented here as waterfall plots for each different gene.