Project description:Prostate cancer is one of the most commonly diagnosed cancers among men in the world and the pathogenesis of prostate cancer remains poorly understood. In this study, we intended to disclose genes that might be involved in tumorigenesis using cDNA microarray technology. Keywords: disease state analysis A total of 28 experiments were performed without replicates, using a pool of unrelated fetal tissues as common references. 25 experiments were done for prostate cancer versus common reference and 3 for normal prostate versus common reference. Prostate cancer and normal prostate samples were labeled with Cy5-dUTP. Common references were labeled with Cy3-dUTP.
Project description:A set of 17 prostate cancer patient-derived xenografts (PDX, Lin et al 2014, Cancer research) was analyzed by mass spectrometry-based proteomics to characterize the effects of castration in vivo, and the proteome differences between NEPC and prostate adenocarcinomas.
Project description:In this study, comparison of gene expression profiles in benign epithelia from men with prostate cancer to those of men without prostate cancer reveal differences in several genes associated with prostate cancer. Custom Agilent 44K whole human genome expression oligonucleotide microarrays were used to profile benign epithelium from prostate needle biopsies from 15 men with high grade(Gleason 8-10) prostate cancer and 14 age- and BMI-matched controls. All samples were laser-capture microdissected and total RNA isolated and amplified prior to hybridization against a common reference pool of prostate tumor cell lines
Project description:Prostate adenocarcinoma and matched adjacent normal samples were profiled by deep transcriptional sequencing to analyze transcription-induced chimeras and gene fusions. Reference samples from the MAQC and brain and universal reference libraries were also sequenced.