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Type of publication: Journal Article
Type of document: Full Paper

Year: 2020

Authors: Oberhuber, M; Pecoraro, M; Rusz, M; Oberhuber, G; Wieselberg, M; Haslinger, P; Gurnhofer, E; Schlederer, M; Limberger, T; Lagger, S; Pencik, J; Kodajova, P; Högler, S; Stockmaier, G; Grund-Gröschke, S; Aberger, F; Bolis, M; Theurillat, JP; Wiebringhaus, R; Weiss, T; Haitel, A; Brehme, M; Wadsak, W; Griss, J; Mohr, T; Hofer, A; Jäger, A; Pollheimer, J; Egger, G; Koellensperger, G; Mann, M; Hantusch, B; Kenner, L

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

Source: Mol Syst Biol. 2020; 16(4):e9247



Authors Vetmeduni Vienna:

Högler Sandra
Kenner Lukas
Lagger Sabine

Vetmed Research Units
Institute of Pathology, Pathology of Laboratory Animals


Abstract:
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.© 2020 The Authors. Published under the terms of the CC BY 4.0 license.


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