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‐microdiss...

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Main Authors: Monika Oberhuber, Matteo Pecoraro, Mate Rusz, Georg Oberhuber, Maritta Wieselberg, Peter Haslinger, Elisabeth Gurnhofer, Michaela Schlederer, Tanja Limberger, Sabine Lagger, Jan Pencik, Petra Kodajova, Sandra Högler, Georg Stockmaier, Sandra Grund‐Gröschke, Fritz Aberger, Marco Bolis, Jean‐Philippe Theurillat, Robert Wiebringhaus, Theresa Weiss, Andrea Haitel, Marc Brehme, Wolfgang Wadsak, Johannes Griss, Thomas Mohr, Alexandra Hofer, Anton Jäger, Jürgen Pollheimer, Gerda Egger, Gunda Koellensperger, Matthias Mann, Brigitte Hantusch, Lukas Kenner
Format: Article
Language:English
Published: Springer Nature 2020-04-01
Series:Molecular Systems Biology
Subjects:
Online Access:https://doi.org/10.15252/msb.20199247
Description
Summary: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.
ISSN:1744-4292