scholarly journals Intraductal carcinoma of the prostate in prostate biopsy samples: correlation with aggressive pathological features after radical prostatectomy and prognostic value in high-risk prostate cancer

2020 ◽  
Vol 22 (5) ◽  
pp. 519 ◽  
Author(s):  
Peng-Fei Shen ◽  
Hao Zeng ◽  
Sha Zhu ◽  
Jin-Ge Zhao ◽  
Jun-Ru Chen ◽  
...  
2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 123-123
Author(s):  
Sha Zhu

123 Background: Intraductal carcinoma of the prostate (IDC-P) is a biologically aggressive form of prostate cancer. We investigated the correlation between IDC-P in prostate biopsy samples (Pbx) and several pathological features after radical prostatectomy (RP), also its prognostic value in high-risk prostate cancer patients. Methods: Totally, 455 patients diagnosed with PCa during 2010 to 2017 in West China Hospital were included in this study. Chi-squared test and binary logistic regression were used in discovering the correlation between IDC-P and post-RP pathological features. Kaplan Meier curve, log-rank test, Cox’s proportional hazards model and C-index were applied in the investigation of the prognostic value of IDC-P on 418 high-risk patients. Results: The detection rate of IDC-P in Pbx is 7.91%. IDC-P was an independent predictor of SVI ( p= 0.014), EPE ( p< 0.001), cT stage ( p= 0.001), PSM of urethra end ( p= 0.042). Patients with IDC-P in PBx specimens manifested poorer BFS than those without IDC-P ( p< 0.001), and IDC-P pattern 2 (HR: 4.429, p= 0.020) was associated with worse prognosis than IDC-P pattern 1 (HR: 3.225, p= 0.047). Further analyses also demonstrated that the addition of IDC-P in several nomograms could improve their C-index. Conclusions: IDC-P is associated with several post-RP pathological features after radical prostatectomy. Also, IDC-P can effectively predict the patients’ BFS, and the addition of it can increase the C-index of several nomograms.


2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 268-268
Author(s):  
Masashi Kato

268 Background: Intraductal carcinoma of the prostate (IDCP) is seen with widely invasive, biologically aggressive prostate cancer. A recent study has shown this morphologic pattern is useful for prognostication of biochemical recurrence after radical prostatectomy, whereas there is no paper to report biopsy finding of IDCP to be a positive predictor of progression-free survival (PFS) and cancer-specific survival (CSS). Methods: This retrospective study included men with high-risk prostate cancer treated with radical prostatectomy between 1991 and 2005, and we reviewed slides of biopsy samples. Presence of IDCP was defined using previously published diagnostic criteria by a single genitourinary pathologist. Analyzed factors included age, prostate-specific antigen (PSA), clinical T stage, higher biopsy Gleason score (bGS), presence of Gleason pattern five, and IDCP on biopsy samples. Finally, a total of 205 patients with high-risk prostate cancer were entered in our retrospective clinicopathological analysis. Results: Patient mean age was 68. Baseline characteristics included a PSA greater than 20 ng/ml at diagnosis in 122 cases (60%), clinical stage greater than T2 (cT) in 86 (42%), and bGS ³a8 in 150 (73%) in all patients. Follow-up period was 86 months on average. The presence of IDCP on needle biopsy was in 75 (37%). Forty-four patients showed clinical failure, and 20 patients died of the disease. Patients with IDCP showed a higher increased PSA level, higher increased bGS, and more advanced cT than those without IDCP (p < 0.0001). In univariate analysis, IDCP (p < 0.0001), cT (p < 0.0001), bGS (p = 0.0002), and presence of Gleason pattern five (p=0.004) were significantly associated with PFS; IDCP (p < 0.001) and cT (p = 0.02) were significantly associated with CSS. In multivariate analysis, IDCP (p< 0.0001; hazard ratio (HR), 3.574) and cT (p= 0.004; HR, 3.087) were significantly associated with PFS; IDCP (p = 0.001; HR, 8.405) and PSA level (p = 0.0044; HR, 2.920) were significantly associated with CSS. Conclusions: Presence of IDCP on needle biopsy can be a significant predictor of PFS and CSS when analyzing factors of biopsy samples in high risk prostate cancer.


2007 ◽  
Vol 177 (4S) ◽  
pp. 130-130
Author(s):  
Markus Graefen ◽  
Jochen Walz ◽  
Andrea Gallina ◽  
Felix K.-H. Chun ◽  
Alwyn M. Reuther ◽  
...  

2005 ◽  
Vol 173 (4S) ◽  
pp. 222-222 ◽  
Author(s):  
Adam S. Kibel ◽  
Joel Picus ◽  
Michael S. Cookson ◽  
Bruce Roth ◽  
David F. Jarrard ◽  
...  

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