Proteomics

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STAT3-dependent systems-level analysis reveals PDK4 to be associated with favorable outcome in primary prostate cancer.

ABSTRACT: 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.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human) Mus Musculus (mouse)

TISSUE(S): Prostate Adenocarcinoma Cell

SUBMITTER: Mario Oroshi  

LAB HEAD: Lukas Kenner

PROVIDER: PXD014251 | Pride | 2020-04-22

REPOSITORIES: Pride

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STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer.

Oberhuber Monika M   Pecoraro Matteo M   Rusz Mate M   Oberhuber Georg G   Wieselberg Maritta M   Haslinger Peter P   Gurnhofer Elisabeth E   Schlederer Michaela M   Limberger Tanja T   Lagger Sabine S   Pencik Jan J   Kodajova Petra P   Högler Sandra S   Stockmaier Georg G   Grund-Gröschke Sandra S   Aberger Fritz F   Bolis Marco M   Theurillat Jean-Philippe JP   Wiebringhaus Robert R   Weiss Theresa T   Haitel Andrea A   Brehme Marc M   Wadsak Wolfgang W   Griss Johannes J   Mohr Thomas T   Hofer Alexandra A   Jäger Anton A   Pollheimer Jürgen J   Egger Gerda G   Koellensperger Gunda G   Mann Matthias M   Hantusch Brigitte B   Kenner Lukas L  

Molecular systems biology 20200401 4

Prostate cancer (PCa) has a broad spectrum of clinical behavior; hence, biomarkers are urgently needed for risk stratification. Here, we aim to find potential biomarkers for risk stratification, by utilizing a gene co-expression network of transcriptomics data in addition to laser-microdissected proteomics from human and murine prostate FFPE samples. We show up-regulation of oxidative phosphorylation (OXPHOS) in PCa on the transcriptomic level and up-regulation of the TCA cycle/OXPHOS on the pro  ...[more]

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