Objective: Prostate secretory protein of 94 amino acids (PSP94) is a target gene of the EZH2 transcriptional repressor and is often downregulated in prostate cancer; however, its prognostic value is disputed. Methods: Immunohistochemical analysis of a tissue microarray of 12, 432 prostate cancer specimens was performed to evaluate PSP94 expression. Correlation between PSP94 expression and tumor phenotype, patient prognosis, TMPRSS2:ERG fusion status, EZH2 expression and PTEN deletion was studied. Results: PSP94 expression was increased in benign prostatic hyperplasia; however, it was downregulated in 48% and negative in 42% of the 9, 881 interpretable prostate cancer specimens. The loss of PSP94 expression was inversely correlated to EZH2 expression (P < 0.0001) and largely unrelated to the ERG status, but strongly correlated with high Gleason grade, advanced tumor stage, and nodal metastasis (P <0.0001 each): The fraction of PSP94-negative cancer specimens increased from 40% in pT2 to 52% in pT3b-pT4 (P < 0.0001) and from 40% in Gleason 3+3 = 6 to 46% in Gleason 4+3 = 7 and 60% in Gleason ≥4+4 = 8 (P < 0.0001). Loss of PSP94 was linked to early prostate-specific antigen recurrence, but with little absolute effect (P < 0.0001). However, it provided additional prognostic impact in cancer specimens with PTEN deletion. Loss of PSP94 deteriorated prognosis of cancer patients with PTEN deletion by more than 10% (P < 0.0001). The combination of PTEN deletion and PSP94 loss provided independent prognostic information that was observed in several subgroups defined by classical and quantitative Gleason grade. Conclusions: The results of our study suggest that combined PSP94/PTEN analysis can be potentially used in the clinical prognosis of prostate cancer.
CITATION STYLE
Luebke, A. M., Attarchi-Tehrani, A., Meiners, J., Hube-Magg, C., Lang, D. S., Kluth, M., … Höflmayer, D. (2019). Loss of PSP94 expression is associated with early PSA recurrence and deteriorates outcome of PTEN deleted prostate cancers. Cancer Biology and Medicine, 16(2), 319–330. https://doi.org/10.20892/j.issn.2095-3941.2018.0384
Mendeley helps you to discover research relevant for your work.