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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7178451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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