STAT3‐dependent analysis revealsPDK4as independent predictor of recurrence in prostate cancer

• DOI: 10.15252/msb.20199247
• Publication Date: 2020-04-23T10:00:37Z
• 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‐Grös...; Fritz Aberger; Marco Bolis; Jean‐Philippe The...; 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
• Keywords: Male; Proteomics; 104002 Analytische Chemie; Medicine (General); Oxidative Phosphorylation; STAT3; Mice; 106023 Molekularbiologie; Biology (General); 0303 health sciences; GENE ONTOLOGY; Applied Mathematics; Systems Biology; Articles; 106023 Molecular biology; prostate cancer; Prognosis; OXPHOS; 3. Good health; ACID CYCLE; GENOME; Gene Expression Regulation, Neoplastic; PDK4; Computational Theory and Mathematics; SDG 3 – Gesundheit und Wohlergehen; General Agricultural and Biological Sciences; 301904 Cancer research; Information Systems; STAT3 Transcription Factor; COMPUTATIONAL PLATFORM; DNA ELEMENTS; QH301-705.5; 301904 Krebsforschung; Laser Capture Microdissection; METABOLISM; General Biochemistry, Genetics and Molecular Biology; Young Adult; 03 medical and health sciences; R5-920; 104002 Analytical chemistry; SDG 3 - Good Health and Well-being; TARGET GENES; Biomarkers, Tumor; Animals; Humans; TCA cycle; General Immunology and Microbiology; Gene Expression Profiling; Prostatic Neoplasms; Pyruvate Dehydrogenase Acetyl-Transferring Kinase; Neoplasms, Experimental; ENCYCLOPEDIA; DIFFERENTIAL EXPRESSION ANALYSIS; Neoplasm Grading; Neoplasm Recurrence, Local

Prostate cancer (PCa) has a broad spectrum of clinical behavior; hence, biomarkers are urgently needed for risk stratification. Here, we aim to find potential stratification, by utilizing gene co-expression network transcriptomics data in addition laser-microdissected proteomics from human and murine prostate FFPE samples. We show up-regulation oxidative phosphorylation (OXPHOS) PCa on the transcriptomic level TCA cycle/OXPHOS proteomic level, which is inversely correlated STAT3 expression. hereby identify expression pyruvate dehydrogenase kinase 4 (PDK4), key regulator cycle, as promising independent prognostic marker PCa. PDK4 predicts disease recurrence diagnostic factors such grading, staging, PSA level. Therefore, low with dismal prognosis.