BACKGROUND: p300 impacts the transcription of several genes involved in key pathways critical to PCa progression. Therefore, we evaluated the prognostic value of p300 expression and its correlation with nuclear alterations seen in tumor cells in men with long-term follow-up after radical prostatectomy (RP). METHODS: NCI Cooperative Prostate Cancer Tissue Resource tissue microarray cores of 92 RP cases (56 non-recurrences and 36 PSA recurrences) were utilized for the study. p300 expression was assessed by quantitative immunohistochemistry and nuclear alterations in Feulgen-stained nuclei were evaluated by digital image analysis using the AutoCyte Pathology Workstation. Cox proportional hazards regression, Spearman's rank correlation, and Kaplan-Meier plots were employed to analyze the data. RESULTS: p300 expression significantly correlated with nuclear alterations seen in tumor cells; specifically with circular form factor (P = 0.012) and minimum feret (P = 0.048). p300 expression in high grade tumors (Gleason score >or=7) was significantly higher compared to low grade tumors (Gleason score <7) [17.7% versus 13.7%, respectively, P = 0.03]. TNM stage, Gleason score, and p300 expression were univariately significant in the prediction of PCa biochemical recurrence-free survival (P <or= 0.05). p300 expression remained significant in the multivariate model (P = 0.03) while Gleason score showed a trend toward significance (P = 0.06). Patients with a Gleason score >or=7 and p300 expression >24% showed the highest risk for PCa biochemical recurrence (P = 0.002). CONCLUSIONS: p300 expression correlates with nuclear alterations seen in tumor cells and has prognostic value in predicting long-term PCa biochemical recurrence-free survival. (c) 2008 Wiley-Liss, Inc.
BACKGROUND:p300 impacts the transcription of several genes involved in key pathways critical to PCa progression. Therefore, we evaluated the prognostic value of p300 expression and its correlation with nuclear alterations seen in tumor cells in men with long-term follow-up after radical prostatectomy (RP). METHODS:NCI Cooperative Prostate Cancer Tissue Resource tissue microarray cores of 92 RP cases (56 non-recurrences and 36 PSA recurrences) were utilized for the study. p300 expression was assessed by quantitative immunohistochemistry and nuclear alterations in Feulgen-stained nuclei were evaluated by digital image analysis using the AutoCyte Pathology Workstation. Cox proportional hazards regression, Spearman's rank correlation, and Kaplan-Meier plots were employed to analyze the data. RESULTS:p300 expression significantly correlated with nuclear alterations seen in tumor cells; specifically with circular form factor (P = 0.012) and minimum feret (P = 0.048). p300 expression in high grade tumors (Gleason score >or=7) was significantly higher compared to low grade tumors (Gleason score <7) [17.7% versus 13.7%, respectively, P = 0.03]. TNM stage, Gleason score, and p300 expression were univariately significant in the prediction of PCa biochemical recurrence-free survival (P <or= 0.05). p300 expression remained significant in the multivariate model (P = 0.03) while Gleason score showed a trend toward significance (P = 0.06). Patients with a Gleason score >or=7 and p300 expression >24% showed the highest risk for PCa biochemical recurrence (P = 0.002). CONCLUSIONS:p300 expression correlates with nuclear alterations seen in tumor cells and has prognostic value in predicting long-term PCa biochemical recurrence-free survival. (c) 2008 Wiley-Liss, Inc.
Authors: D Chakravarti; V J LaMorte; M C Nelson; T Nakajima; I G Schulman; H Juguilon; M Montminy; R M Evans Journal: Nature Date: 1996-09-05 Impact factor: 49.962
Authors: M Muraoka; M Konishi; R Kikuchi-Yanoshita; K Tanaka; N Shitara; J M Chong; T Iwama; M Miyaki Journal: Oncogene Date: 1996-04-04 Impact factor: 9.867
Authors: Jonathan Melamed; Milton W Datta; Michael J Becich; Jan M Orenstein; Rajiv Dhir; Sylvia Silver; Marie Fidélia-Lambert; André Kadjacsy-Balla; Virgilia Macias; Ashokkumar Patel; Paul D Walden; Maarten C Bosland; Jules J Berman Journal: Clin Cancer Res Date: 2004-07-15 Impact factor: 12.531
Authors: R W Veltri; A W Partin; J E Epstein; G M Marley; C M Miller; D S Singer; K P Patton; S R Criley; D S Coffey Journal: J Cell Biochem Suppl Date: 1994
Authors: Beth E Zucconi; Jessica L Makofske; David J Meyers; Yousang Hwang; Mingxuan Wu; Mitzi I Kuroda; Philip A Cole Journal: Biochemistry Date: 2019-04-11 Impact factor: 3.162
Authors: Junko Suzuki; Yunn-Yi Chen; Gary K Scott; Sandy Devries; Koei Chin; Christopher C Benz; Frederic M Waldman; E Shelley Hwang Journal: Clin Cancer Res Date: 2009-04-21 Impact factor: 12.531