Open AccessSTAT 3 ‐dependent analysis reveals PDK 4 as independent predictor of recurrence in prostate cancer
Author(s) -
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,
GrundGröschke Sandra,
Aberger Fritz,
Bolis Marco,
Theurillat JeanPhilippe,
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
Publication year - 2020
Publication title -
molecular systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.523
H-Index - 148
ISSN - 1744-4292
DOI - 10.15252/msb.20199247
Subject(s) - prostate cancer , biology , stat , cancer research , cancer , signal transduction , genetics , stat3
Abstract Prostate cancer ( PC a) 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 PC a on the transcriptomic level and up‐regulation of the TCA cycle/ OXPHOS on the proteomic level, which is inversely correlated to STAT 3 expression. We hereby identify gene expression of pyruvate dehydrogenase kinase 4 ( PDK 4 ), a key regulator of the TCA cycle, as a promising independent prognostic marker in PC a. PDK 4 predicts disease recurrence independent of diagnostic risk factors such as grading, staging, and PSA level. Therefore, low PDK 4 is a promising marker for PC a with dismal prognosis.