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

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‐microdiss...

Full description

Saved in:

Bibliographic Details
Main 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‐Gröschke, Fritz Aberger, Marco Bolis, Jean‐Philippe Theurillat, 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
Format:	Article
Language:	English
Published:	Springer Nature 2020-04-01
Series:	Molecular Systems Biology
Subjects:	OXPHOS PDK4 prostate cancer STAT3 TCA cycle
Online Access:	https://doi.org/10.15252/msb.20199247
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

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

Similar Items