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

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 pro...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178451/
https://www.ncbi.nlm.nih.gov/pubmed/32323921
http://dx.doi.org/10.15252/msb.20199247
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author 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
author_facet 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
author_sort Oberhuber, Monika
collection PubMed
description 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.
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spelling pubmed-71784512020-04-23 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 Mol Syst Biol Articles 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. John Wiley and Sons Inc. 2020-04-23 /pmc/articles/PMC7178451/ /pubmed/32323921 http://dx.doi.org/10.15252/msb.20199247 Text en © 2020 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
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
STAT3‐dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer
title STAT3‐dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer
title_full STAT3‐dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer
title_fullStr STAT3‐dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer
title_full_unstemmed STAT3‐dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer
title_short STAT3‐dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer
title_sort stat3‐dependent analysis reveals pdk4 as independent predictor of recurrence in prostate cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178451/
https://www.ncbi.nlm.nih.gov/pubmed/32323921
http://dx.doi.org/10.15252/msb.20199247
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