Unknown

Dataset Information

0

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


ABSTRACT: 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 proteomic level, which is inversely correlated to STAT3 expression. We hereby identify gene expression of pyruvate dehydrogenase kinase 4 (PDK4), a key regulator of the TCA cycle, as a promising independent prognostic marker in PCa. PDK4 predicts disease recurrence independent of diagnostic risk factors such as grading, staging, and PSA level. Therefore, low PDK4 is a promising marker for PCa with dismal prognosis.

SUBMITTER: Oberhuber M 

PROVIDER: S-EPMC7178451 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

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]

Similar Datasets

| S-SCDT-MSB-19-9247 | biostudies-other
2020-04-22 | PXD014251 | Pride
| S-EPMC3130772 | biostudies-literature
| S-EPMC4494977 | biostudies-literature
| S-EPMC8192444 | biostudies-literature
| S-EPMC6698296 | biostudies-literature
| S-EPMC8548661 | biostudies-literature
| S-EPMC7641694 | biostudies-literature
| S-EPMC4872073 | biostudies-literature
| S-EPMC5947826 | biostudies-other