bioRxivCancer Biology
STAT3-dependent systems-level analysis reveals PDK4 as an independent predictor of biochemical recurrence in prostate cancer
M. Oberhuber, M. Pecoraro, M. Rusz, G. Oberhuber, M. Wieselberg, P. Haslinger, E. Gurnhofer, J. Pencik, R. Wiebringhaus, M. Schlederer, T. Weiss, M. Schmeidl, A. Haitel, M. J. Brehme, W. Wadsak, J. Griss, T. Mohr, A. Hofer, A. Jäger, G. Egger, J. Pollheimer, G. Koellensperger, M. Mann, B. Hantusch, L. Kenner
Abstract
Prostate cancer (PCa) has a broad spectrum of clinical behaviour, hence biomarkers are urgently needed for risk stratification. We previously described the protective effect of STAT3 in a prostate cancer mouse model. By utilizing a gene co-expression network in addition to laser microdissected proteomics from human and murine prostate FFPE samples, we describe STAT3-induced downregulation of the TCA cycle/OXPHOS in PCa on transcriptomic and proteomic level. We identify 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. Furthermore, PDK4 expression is causally linked to type 2 diabetes mellitus, which is known to have a protective effect on PCa. We conclude that this effect is related to PDK4 expression and that PDK4 loss could serve as a biomarker for PCa with dismal prognosis.
- organism: human
- organism: mouse
- assay: proteomics
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
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