We identified 6.509 patients with prostate cancer who had received hormonal therapy with a post-hormonal therapy PSA ≥2ng/mL, 363 of whom had non-metastatic, castrate-resistant prostate cancer.
In this case report, a 67-year-old male with a history of prostate cancer status post prostatectomy presented for an F-18-fluciclovine PET/CT for a rising, clinically detectable PSA and indeterminate pelvic lymph nodes seen on multiparametric MRI of the prostate.
In both groups there was a curative intention to treat localized high-risk prostate cancer (one or more of Gleason score 8-10, PSA 20-50 or stage T3), diagnosed between 1995-2010, follow-up at the end of 2014.
Moreover, among 143 patients with PCa who received radical prostatectomy (RP), the AUCs of LDN-PSA, LDN-PSAD, and PSAD levels (0.750, 0.812, and 0.769, respectively) detected in patients with a pathologic Gleason grade group ≥ 2 were significantly higher (P = .0170, P = .0028, and P = .0003, respectively) than that of PSA (0.578).
The aim of the present study was to design and evaluate the value of prostate-specific membrane antigen (PSA)-targeted manganese oxide-mesoporous silica nanoparticles (Mn-Msns) for the detection of prostate cancer.
Among subjects in a clinical trial with a prior negative biopsy, total PSA, free-PSA ratio and PSA density have comparable diagnostic characteristics for PCa screening in low and normal testosterone men.
Risk-based patient selection for systematic biopsy in prostate cancer diagnosis has been adopted in daily clinical practice, either by clinical judgment and PSA testing, or using multivariate risk prediction tools.
We identified the best cutoff values for prostate biopsy (0.25 for all prostate cancers and 0.20 for clinically significant prostate cancers) to determine whether to require prostate biopsy when the PSA level is in the diagnostic gray zone.
The resulting area under the receiver operating characteristic curve (AUC) to predict csPCa was 0.76 for PI-RADS v2, 0.59 for age, and 0.67 for PSA density.
The present study aimed to investigate the diagnostic efficacy and the regional location of prostate cancer (PCa) as well as the accuracy of assessment between trans-perineal template-guided mapping biopsy (TTMB) and freehand trans-perineal biopsy (FTPB) for men with PSA < 20 ng/ml.
In a heavily pretreated population of men with mCRPC, pembrolizumab was associated with a ≥50% PSA decline in 17% (8/48) of men, including a dramatic ≥90% PSA response in 8% (4/48), two of whom harbored pathogenic LRP1b mutations suggesting that LRP1b mutations may enrich for PD-1 inhibitor responsiveness in prostate cancer.
In the present study, we reported that miR‑505‑3p was significantly downregulated in bone metastatic PCa tissues compared with that in non‑bone metastatic PCa tissues, but there was no significant difference in miR‑505‑3p expression between PCa and adjacent normal tissues. miR‑505‑3p expression was inversely associated with serum PSA levels, Gleason grade, N and M classification, and short bone metastasis‑free survival in PCa patients, but had no effect on overall survival in PCa patients.
Bias-corrected estimates of effects of PSA screening decisions on the risk of prostate cancer diagnosis and death: Analysis of the Finnish randomized study of screening for prostate cancer.
PSA level > 20 ng/mL and/or presence of the Gleason pattern 5 component on biopsy are predictive factors for early biochemical recurrence after robot-assisted laparoscopic radical prostatectomy in high-risk prostate cancer patients.
We have investigated ETV1, ETV4, and ETV5 overexpression, with or without PTEN loss, and their association with grade group (GG), pathological stage, focality, and PSA recurrence in PrCa.
There were no significant differences between the groups in prostate cancer detection rates after stratification according to PSA density and clinical staging.
We identified 52,797 men in the NCDB from 2010 to 2015 diagnosed with very low risk prostate cancer as defined (cT1cM0, PSA <10, Gleason ≤6, <3 biopsy cores positive).
Multiparametric MRI (mpMRI) became recognised in investigating those with suspected prostate cancer between 2010 and 2012; in the USA, the preventative task force moratorium on PSA screening was a strong catalyst.
Then, the nomogram was constructed based on the hub gene to predict the recurrence of prostate cancer, and the decision curve analysis (DCA) was used to compare the accuracy with the PSA and Gleason prediction models.