Zeitschriftenaufsatz | 2020 Open Access

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

Autor:in

Oberhuber, Monika; Pecoraro, M.; Rusz, Mate; Oberhuber, Georg; Wieselberg, Maritta; Haslinger, Peter; Gurnhofer, Elisabeth; Schlederer, Michaela; Limberger, Tanja; Lagger, Sabine; Pencik, Jan; Kodajova, Petra; Hoegler, Sandra; Stockmaier, Georg; Grund-Groeschke, S.; Aberger, Fritz; Bolis, Marco; Theurillat, Jean-Philippe; Wiebringhaus, Robert; Weiss, T.; Haitel, Andrea; Brehme, Marc; Wadsak, Wolfgang; Griss, Johannes; Mohr, Thomas; Hofer, A.; Jaeger, Anton; Pollheimer, J.; Egger, Gerda; Koellensperger, Gunda; Mann, Matthias; Hantusch, Brigitte; Kenner, Lukas

Publikationen als Autor:in / Herausgeber:in der Vetmeduni

Högler, Sandra; Kenner, Lukas; Lagger, Sabine

Journal

Molecular Systems Biology

Abstrakt

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.

Schlagwörter

OXPHOS; PDK4; prostate cancer; STAT3; TCA cycle

Dokumententyp

Originalarbeit

CC Lizenz

CCBY

Open Access Type

Gold

ISSN/eISSN

1744-4292 -

DOI

10.15252/msb.20199247