| First Author | Oberhuber M | Year | 2020 |
| Journal | Mol Syst Biol | Volume | 16 |
| Issue | 4 | Pages | e9247 |
| PubMed ID | 32323921 | Mgi Jnum | J:294705 |
| Mgi Id | MGI:6445349 | Doi | 10.15252/msb.20199247 |
| Citation | Oberhuber M, et al. (2020) STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer. Mol Syst Biol 16(4):e9247 |
| abstractText | 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. |
