STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer
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STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer. / Oberhuber, Monika; Pecoraro, Matteo; Rusz, Mate; Oberhuber, Georg; Wieselberg, Maritta; Haslinger, Peter; Gurnhofer, Elisabeth; Schlederer, Michaela; Limberger, Tanja; Lagger, Sabine; Pencik, Jan; Kodajova, Petra; Högler, Sandra; Stockmaier, Georg; Grund-Gröschke, Sandra; Aberger, Fritz; Bolis, Marco; Theurillat, Jean-Philippe; Wiebringhaus, Robert; Weiss, Theresa; Haitel, Andrea; Brehme, Marc; Wadsak, Wolfgang; Griss, Johannes; Mohr, Thomas; Hofer, Alexandra; Jäger, Anton; Pollheimer, Jürgen; Egger, Gerda; Koellensperger, Gunda; Mann, Matthias; Hantusch, Brigitte; Kenner, Lukas.
In: Molecular Systems Biology, Vol. 16, No. 4, 04.2020, p. e9247.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer
AU - Oberhuber, Monika
AU - Pecoraro, Matteo
AU - Rusz, Mate
AU - Oberhuber, Georg
AU - Wieselberg, Maritta
AU - Haslinger, Peter
AU - Gurnhofer, Elisabeth
AU - Schlederer, Michaela
AU - Limberger, Tanja
AU - Lagger, Sabine
AU - Pencik, Jan
AU - Kodajova, Petra
AU - Högler, Sandra
AU - Stockmaier, Georg
AU - Grund-Gröschke, Sandra
AU - Aberger, Fritz
AU - Bolis, Marco
AU - Theurillat, Jean-Philippe
AU - Wiebringhaus, Robert
AU - Weiss, Theresa
AU - Haitel, Andrea
AU - Brehme, Marc
AU - Wadsak, Wolfgang
AU - Griss, Johannes
AU - Mohr, Thomas
AU - Hofer, Alexandra
AU - Jäger, Anton
AU - Pollheimer, Jürgen
AU - Egger, Gerda
AU - Koellensperger, Gunda
AU - Mann, Matthias
AU - Hantusch, Brigitte
AU - Kenner, Lukas
N1 - © 2020 The Authors. Published under the terms of the CC BY 4.0 license.
PY - 2020/4
Y1 - 2020/4
N2 - 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.
AB - 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.
U2 - 10.15252/msb.20199247
DO - 10.15252/msb.20199247
M3 - Journal article
C2 - 32323921
VL - 16
SP - e9247
JO - Molecular Systems Biology
JF - Molecular Systems Biology
SN - 1744-4292
IS - 4
ER -
ID: 240409334