PXD014251

PXD014251 is an original dataset announced via ProteomeXchange.

Title	STAT3-dependent systems-level analysis reveals PDK4 to be associated with favorable outcome in primary prostate cancer.
Description	Prostate cancer has a broad spectrum of clinical behavior, hence biomarkers are urgently needed for risk stratification. We previously described the protective effect of signal transducer and activator of transcription 3 (STAT3) in a prostate cancer mouse model. We now show the importance of STAT3-regulated metabolic functions and explain their influence on aggressive prostate cancer. By utilizing a gene co-expression network in addition to laser microdissected proteomics from human and murine FFPE samples, we established a workflow that facilitates the discovery of new biomarkers. We thereby identified the protective effect of pyruvate dehydrogenase kinase 4 (PDK4) in prostate cancer. PDK4 is a key regulator of the citrate cycle and low PDK4 is significantly associated with disease recurrence.
HostingRepository	PRIDE
AnnounceDate	2020-04-22
AnnouncementXML	Submission_2020-07-14_23:44:22.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Mario Oroshi
SpeciesList	scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2019-06-13 05:46:14	ID requested
1	2020-04-21 22:58:57	announced
⏵ 2	2020-07-14 23:44:24	announced	2020-07-15: Updated publication reference for PubMed record(s): 32323921.

Oberhuber M, Pecoraro M, Rusz M, Oberhuber G, Wieselberg M, Haslinger P, Gurnhofer E, Schlederer M, Limberger T, Lagger S, Pencik J, Kodajova P, H, ö, gler S, Stockmaier G, Grund-Gr, ö, schke S, Aberger F, Bolis M, Theurillat JP, Wiebringhaus R, Weiss T, Haitel A, Brehme M, Wadsak W, Griss J, Mohr T, Hofer A, J, ä, ger A, Pollheimer J, Egger G, Koellensperger G, Mann M, Hantusch B, Kenner L, STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer. Mol Syst Biol, 16(4):e9247(2020) [pubmed]

curator keyword: Biomedical

submitter keyword: Prostate cancer, gene co-expression network analysis, STAT3, PDK4, TCA, OXPHOS, FFPE-proteomics, metabolomics, transcriptomics, TCGA

Lukas Kenner
contact affiliation	Medizinische Universitat Wien, Vienna, AUSTRIA
contact email	lukas.kenner@meduniwien.ac.at
lab head
Mario Oroshi
contact affiliation	Proteomics
contact email	oroshi@biochem.mpg.de
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2020/04/PXD014251

PRIDE project URI

• PRIDE
  1. PXD014251
     1. Label: PRIDE project
     2. Name: STAT3-dependent systems-level analysis reveals PDK4 to be associated with favorable outcome in primary prostate cancer.