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Series GSE75193 Query DataSets for GSE75193
Status Public on Mar 16, 2016
Title A metabolic co-regulator bioinformatics screen reveals that PGC1α suppresses prostate cancer metastasis
Organism Homo sapiens
Experiment type Expression profiling by array
Summary The current view of cellular transformation and cancer progression supports the notion that cancer cells must reprogram their metabolism in order to survive and progress in different microenvironments. Master co-regulators of metabolism orchestrate the modulation of multiple metabolic pathways through transcriptional programs, and hence constitute a probabilistically parsimonious mechanism for general metabolic rewiring. Here we show that the transcriptional co-activator PGC1α suppresses prostate cancer progression and metastasis. A metabolic co-regulator data mining analysis unveiled that PGC1α is consistently down-regulated in multiple prostate cancer patient datasets and its alteration is associated with reduced disease-free survival and metastasis. Genetically engineered mouse model studies revealed that compound prostate epithelium-specific deletion of Pgc1a and Pten promotes prostate cancer progression and metastasis, whereas, conversely, PGC1α expression in cell lines inhibits the pre-existing metastatic capacity. Through the application of integrative metabolomics and transcriptomics we demonstrate that PGC1α expression in prostate cancer is sufficient to elicit a global metabolic rewiring that opposes cell growth, consisting of sustained oxidative metabolism at the expense of anabolism. This metabolic program is regulated downstream the Oestrogen-related receptor alpha (ERRα), and PGC1α mutants lacking ERRα activation capacity lack metabolic rewiring capacity and metastasissuppressive function. Importantly, an ERRα signature in prostate cancer recapitulates the prognostic features of PGC1A. Our findings uncover an unprecedented causal contribution of PGC1α to the metabolic switch in prostate cancer and to the suppression of metastatic dissemination.
 
Overall design Total RNA was isolated from prostate cancer cell line PC3 expressing or not PGC1a (for induction, cells were treated with doxycycline for 2 passages)
 
Contributor(s) Torrano V
Citation(s) 27214280
Submission date Nov 19, 2015
Last update date Aug 13, 2018
Contact name Verónica Torrano Moya
E-mail(s) vtorrano@cicbiogune.es
Organization name CICbioGUNE
Street address 801 Building. Technology Park of Vizcaya
City Derio
ZIP/Postal code 48160
Country Spain
 
Platforms (1)
GPL10558 Illumina HumanHT-12 V4.0 expression beadchip
Samples (6)
GSM1944880 PC3_PGC1A__M_DOX_1
GSM1944881 PC3_PGC1A__M_DOX_2
GSM1944882 PC3_PGC1A__M_DOX_3
Relations
BioProject PRJNA302754

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE75193_RAW.tar 26.2 Mb (http)(custom) TAR
GSE75193_non-normalized.txt.gz 1.9 Mb (ftp)(http) TXT
Processed data included within Sample table

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