Identification of a 5-gene signature panel for the prediction of prostate cancer progression
作者
Michelle Shen,Fernando Jose Garcia-Marques,Arvind Muruganantham,Shiqin Liu,James Robert White,Abel Bermudez,Meghan A. Rice,Kelsey Thompson,Chun-Liang Chen,Chia‐Nung Hung,Zhao Zhang,Tim H.‐M. Huang,Michael Andre Liss,Kenneth J. Pienta,Sharon J. Pitteri,Tanya Ivanova Stoyanova
BACKGROUND: Despite nearly 100% 5-year survival for localised prostate cancer, the survival rate for metastatic prostate cancer significantly declines to 32%. Thus, it is crucial to identify molecular indicators that reflect the progression from localised disease to metastatic prostate cancer. METHODS: To search for molecular indicators associated with prostate cancer metastasis, we performed proteomic analysis of rapid autopsy tissue samples from metastatic prostate cancer (N = 8) and localised prostate cancer (N = 2). Then, we utilised multiple independent, publicly available prostate cancer patient datasets to select candidates that also correlate with worse prostate cancer clinical prognosis. RESULTS: We identified 154 proteins with increased expressions in metastases relative to localised prostate cancer through proteomic analysis. From the subset of these candidates that correlate with prostate cancer recurrence (N = 28) and shorter disease-free survival (N = 37), we identified a 5-gene signature panel with improved performance in predicting worse clinical prognosis relative to individual candidates. CONCLUSIONS: Our study presents a new 5-gene signature panel that is associated with worse clinical prognosis and is elevated in prostate cancer metastasis on both protein and mRNA levels. Our 5-gene signature panel represents a potential modality for the prediction of prostate cancer progression towards the onset of metastasis.