STAT 3 ‐dependent analysis reveals PDK 4 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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| Veröffentlicht in: | Molecular systems biology 2020-04, Vol.16 (4) |
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| creator | 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 |
| 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. |
| doi_str_mv | 10.15252/msb.20199247 |
| format | Article |
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| ispartof | Molecular systems biology, 2020-04, Vol.16 (4) |
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| source | Wiley Online Library Open Access; DOAJ Directory of Open Access Journals; Wiley Online Library Journals Frontfile Complete; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Biomarkers Datasets Diagnostic systems Gene expression Genomes Kinases Metabolism Metastasis Oxidative phosphorylation Phosphorylation Prostate cancer Proteins Proteomics Pyruvic acid Risk analysis Risk factors Stat3 protein Transcription factors Tricarboxylic acid cycle Tumors |
| title | STAT 3 ‐dependent analysis reveals PDK 4 as independent predictor of recurrence in prostate cancer |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T16%3A35%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=STAT%203%20%E2%80%90dependent%20analysis%20reveals%20PDK%204%20as%20independent%20predictor%20of%20recurrence%20in%20prostate%20cancer&rft.jtitle=Molecular%20systems%20biology&rft.au=Oberhuber,%20Monika&rft.date=2020-04&rft.volume=16&rft.issue=4&rft.issn=1744-4292&rft.eissn=1744-4292&rft_id=info:doi/10.15252/msb.20199247&rft_dat=%3Cproquest_cross%3E2395475716%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2395475716&rft_id=info:pmid/&rfr_iscdi=true |