We propose to identify information about gene expression changes in diseased cells from the literature, utilizing event extraction techniques. Gene expression changes in a diseased cell or tissue happen when its expression level is either higher or lower than the level in normal states.Such information can be critically used in the next stage of understanding the molecular mechanisms of the disease, leading naturally to its pathway. In this work, we focus on prostate cancer (PC), one of the most troubling cancers.