A quinazoline-based HDAC inhibitor affects gene expression pathways involved in cholesterol biosynthesis and mevalonate in prostate cancer cells
Autor: | Hamish S. Sutherland, Zhigang Lin, Lynnette R. Ferguson, Pamela M. Murray, William A. Denny, Gareth Marlow, Karen S. Bishop |
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Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Male Mevalonic Acid Mevalonic acid Biology Transcriptome 03 medical and health sciences chemistry.chemical_compound Prostate cancer Inhibitory Concentration 50 DU145 Cell Line Tumor medicine Humans Molecular Biology Oligonucleotide Array Sequence Analysis Gene Expression Profiling Prostatic Neoplasms Reproducibility of Results Epigenome medicine.disease R1 Gene expression profiling Gene Expression Regulation Neoplastic Histone Deacetylase Inhibitors 030104 developmental biology Cholesterol Biochemistry chemistry Cancer research Quinazolines Mevalonate pathway Signal transduction Biotechnology Signal Transduction |
Zdroj: | Molecular bioSystems. 12(3) |
ISSN: | 1742-2051 1742-206X |
Popis: | Chronic inflammation can lead to the development of cancers and resolution of inflammation is an ongoing challenge. Inflammation can result from dysregulation of the epigenome and a number of compounds that modify the epigenome are in clinical use. In this study the anti-inflammatory and anti-cancer effects of a quinazoline epigenetic-modulator compound were determined in prostate cancer cell lines using a non-hypothesis driven transcriptomics strategy utilising the Affymetrix PrimeView® Human Gene Expression microarray. GATHER and IPA software were used to analyse the data and to provide information on significantly modified biological processes, pathways and networks. A number of genes were differentially expressed in both PC3 and DU145 prostate cancer cell lines. The top canonical pathways that frequently arose across both cell lines at a number of time points included cholesterol biosynthesis and metabolism, and the mevalonate pathway. Targeting of sterol and mevalonate pathways may be a powerful anticancer approach. |
Databáze: | OpenAIRE |
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