Prostate-specific antigen versus prostate-specific antigen density as predictor of tumor volume, margin status, pathologic stage, and biochemical recurrence of prostate cancer

Descriptive analysis of prostate cancer pathology data from diagnosis and surgery in men from the 45 and Up Study

Information available from the New South Wales Cancer Registry (NSWCR) about the aggressiveness of prostate cancer is limited to the summary stage variable 'degree of spread', which contains a high proportion of cases defined as 'unknown'. In this study we demonstrate the feasibility of obtaining and analysing prostate cancer pathology data from stored pathology records. Pathology data were extracted from stored pathology records of incident prostate cancer cases in men participating in the 45 and Up Study, a large Australian prospective cohort study, who were diagnosed between January 2006 and December 2013. Baseline questionnaires from the 45 and Up Study were linked to the NSWCR. Demographic and pathology items were tabulated and associations described. We evaluated the completeness of pathological characteristics by degree of spread of cancer at diagnosis. Among the 123,921 men enrolled in the 45 and Up Study, 5,091 had incident prostate cancer and 5,085 were linked to a pathology record. The most complete variables included grade group of diagnostic (85.8%) and surgical (99.8%) specimens, margin status (98.1%), extraprostatic extension (95.1%) and seminal vesicle invasion (96.8%). Most diagnostic specimens were grade group 1 (26.6%) or 2 (23.5%). Of the 5,085 cases, 30.8% were classified by the NSWCR with unknown degree of spread; a pathology record could be extracted for 99.4% of these. The unknown degree of spread cases had similar levels of completeness and distribution of diagnostic and surgical pathology features to those with a localised degree of spread. This study demonstrated the feasibility of obtaining and analysing data derived from pathology reports from centralised state-based cancer registry notifications. Supplementing degree of spread information with pathology data from diagnosis and surgery will improve both the quality of research and policy aimed at improving the lives of men with prostate cancer.

Oncological outcomes in robot-assisted radical prostatectomy: the value of PSA density as a preoperative predictive factor

Background

Pretreatment assessment of patients diagnosed with localized prostate cancer (PCa) is essential for therapeutic decision-making. Currently available staging systems based on prostate-specific antigen (PSA), Gleason score, and clinical stage allow for determining the prognostic characteristics of these patients. Several studies have evaluated the preoperative use of prostate-specific antigen density (PSAD) as a prognostic factor for further risk stratification. To date, the role of PSAD in this setting is still an object of debate.

Objectives

The present analysis aimed to assess the predictive potential of PSAD for adverse oncological outcomes after robot-assisted radical prostatectomy (RARP) and to compare its accuracy to preoperative PSA (pPSA).

Design and methods

We retrospectively reviewed 427 patients diagnosed with localized PCa who underwent RARP at a single institution between January 2015 and January 2020. Generating receiver operator characteristic (ROC) curves, calculating areas under the curves (AUCs), and using a linear regression model, we analyzed the association of PSAD and pPSA with postoperative positive surgical margins (PSM), Gleason score ⩾ 7, persistent PSA, and biochemical recurrence (BCR), with a median follow-up of 47 months.

Results

PSAD showed a significant association with PSM (p < 0.0001), PSA persistence (p < 0.0001), and Gleason ⩾ 7 (p < 0.0001), without being statistically significant in predicting BCR (p = 0.098). The predictive value of PSAD was comparable to pPSA for outcomes of PSA persistence (AUC 0.727 versus 0.771) and Gleason ⩾ 7 (AUC 0.683 versus 0.649).

Conclusion

PSAD is a predictive factor for postoperative oncological outcomes of PSM, Gleason score ⩾ 7, and persistence of PSA. Despite the need for further studies, PSAD could be useful as a prognostic parameter in conjunction with established staging systems.

MR imaging features to predict the type of bone metastasis in prostate cancer

Bone metastases (BMs) of prostate cancer (PCa) have been considered predominantly osteoblastic, but non-osteoblastic (osteolytic or mixed osteoblastic and osteolytic) BMs can occur. We investigated the differences in prostate MRI and clinical findings between patients with osteoblastic and non-osteoblastic BMs. Between 2014 and 2021, patients with pathologically proven PCa without a history of other malignancies were included in this study. Age, Gleason score, prostate-specific antigen (PSA) density, normalized mean apparent diffusion coefficient and normalized T2 signal intensity (nT2SI) of PCa, and Prostate Imaging Reporting and Data System category on MRI were compared between groups. A multivariate logistic regression analysis using factors with P-values < 0.2 was performed to detect the independent parameters for predicting non-osteoblastic BM group. Twenty-five (mean 73 ± 6.6 years) and seven (69 ± 13.1 years) patients were classified into the osteoblastic and non-osteoblastic groups, respectively. PSA density and nT2SI were significantly higher in the non-osteoblastic group than in the osteoblastic group. nT2SI was an independent predictive factor for non-osteoblastic BMs in the multivariate logistic regression analysis. These results indicated that PCa patients with high nT2SI and PSA density should be examined for osteolytic BMs.

A novel carboxyl polymer-modified upconversion luminescent nanoprobe for detection of prostate-specific antigen in the clinical gray zonebase by flow immunoassay strip

Prostate specific antigen (PSA) is a widely-used biomarker for the diagnosis, screening, and prognosis of prostate cancer (PCa). It is critical to develop a rapid and convenient method to accurately detect PSA levels, especially when the PSA levels are in the clinical gray area of 4-10 ng/mL. We developed a novel upconversion nanoparticle (UCNP)-based fluorescence lateral flow test strip for qualitatively and quantitatively detecting PSA. The carboxyl group-modified UCNPs (UCNP-COOH) were labeled with anti-PSA antibodies via 1-ethyl-3-(3-(dimethylamino)propyl) carbodiimide (EDC) and N-hydroxysuccinimide (NHS) as labeling probes to recognize PSA. The fluorescence intensity of the UCNP-probe was then measured with a laser fluorescence scanner. A total of 1397 serum and 20 fingertip blood samples were collected to validate the UCNP strip. A reliable correlation between the area ratio (TC), reflecting the fluorescence intensity of the test/control line, and the PSA concentration was observed (r = 0.9986). The dose-dependent luminescence enhancement showed good linearity in the PSA concentration range from 0.1 to 100.0 ng/mL with a detection limit of 0.1 ng/mL. Our UCNP POCT strip demonstrated excellent accuracy, anti-interference and stability in the gray zone (4-10 ng/mL) of PSA clinical application and outperformed other PSA test strips. The UCNP strip showed good consistency with the Roche chemiluminescence assay in 1397 serum samples. It also showed good performance for PSA detection using fingertip blood samples. This novel UCNP-based test strip could be a sensitive and reliable POCT assay to detect PSA, facilitating the diagnosis and surveillance of PCa.

Determination of Whether Apex or Non-Apex Prostate Cancer Is the Best Candidate for the Use of Prostate-Specific Antigen Density to Predict Pathological Grade Group Upgrading and Upstaging after Radical Prostatectomy

Objective: Previous studies have demonstrated that prostate-specific antigen density (PSAD) may aid in predicting Gleason grade group (GG) upgrading and pathological upstaging in patients with prostate cancer (PCa). However, the differences and associations between patients with apex prostate cancer (APCa) and non-apex prostate cancer (NAPCa) have not been described. The aim of this study was to explore the different roles of PSAD in predicting GG upgrading and pathological upstaging between APCa and NAPCa. Patients and Methods: Five hundred and thirty-five patients who underwent prostate biopsy followed by radical prostatectomy (RP) were enrolled. All patients were diagnosed with PCa and classified as either APCa or NAPCa. Clinical and pathological variables were collected. Univariate, multivariate, and receiver operating characteristic (ROC) analyses were performed. Results: Of the entire cohort, 245 patients (45.8%) had GG upgrading. Multivariate analysis revealed that only PSAD (odds ratio [OR]: 4.149, p < 0.001) was an independent, significant predictor of upgrading. A total of 262 patients (49.0%) had pathological upstaging. Both PSAD (OR: 4.750, p < 0.001) and percentage of positive cores (OR: 5.108, p = 0.002) were independently significant predictors of upstaging. Of the 374 patients with NAPCa, 168 (44.9%) displayed GG upgrading. Multivariate analysis also showed PSAD (OR: 8.176, p < 0.001) was an independent predictor of upgrading. Upstaging occurred in 159 (42.5%) patients with NAPCa, and PSAD (OR: 4.973, p < 0.001) and percentage of positive cores (OR: 3.994, p = 0.034) were independently predictive of pathological upstaging. Conversely, of the 161 patients with APCa, 77 (47.8%) were identified with GG upgrading, and 103 (64.0%) patients with pathological upstaging. Multivariate analysis demonstrated that there were no significant predictors, including PSAD, for predicting GG upgrading (p = 0.462) and pathological upstaging (p = 0.100). Conclusions: PSAD may aid in the prediction of GG upgrading and pathological upstaging in patients with PCa. However, this may only be practical in patients with NAPCa but not with APCa. Additional biopsy cores taken from the prostatic apex region may help improve the accuracy of PSAD in predicting GG upgrading and pathological upstaging after RP.

A Multivariate Diagnostic Model Based on Urinary EpCAM-CD9-Positive Extracellular Vesicles for Prostate Cancer Diagnosis

Introduction

Prostate cancer (PCa) is one of the most frequently diagnosed cancers and the leading cause of cancer death in males worldwide. Although prostate-specific antigen (PSA) screening has considerably improved the detection of PCa, it has also led to a dramatic increase in overdiagnosing indolent disease due to its low specificity. This study aimed to develop and validate a multivariate diagnostic model based on the urinary epithelial cell adhesion molecule (EpCAM)-CD9-positive extracellular vesicles (EVs) (uEV_EpCAM-CD9) to improve the diagnosis of PCa.

Methods

We investigated the performance of uEV_EpCAM-CD9 from urine samples of 193 participants (112 PCa patients, 55 benign prostatic hyperplasia patients, and 26 healthy donors) to diagnose PCa using our laboratory-developed chemiluminescent immunoassay. We applied machine learning to training sets and subsequently evaluated the multivariate diagnostic model based on uEV_EpCAM-CD9 in validation sets.

Results

Results showed that uEV_EpCAM-CD9 was able to distinguish PCa from controls, and a significant decrease of uEV_EpCAM-CD9 was observed after prostatectomy. We further used a training set (N = 116) and constructed an exclusive multivariate diagnostic model based on uEV_EpCAM-CD9, PSA, and other clinical parameters, which showed an enhanced diagnostic sensitivity and specificity and performed excellently to diagnose PCa [area under the curve (AUC) = 0.952, P < 0.0001]. When applied to a validation test (N = 77), the model achieved an AUC of 0.947 (P < 0.0001). Moreover, this diagnostic model also exhibited a superior diagnostic performance (AUC = 0.917, P < 0.0001) over PSA (AUC = 0.712, P = 0.0018) at the PSA gray zone.

Conclusions

The multivariate model based on uEV_EpCAM-CD9 achieved a notable diagnostic performance to diagnose PCa. In the future, this model may potentially be used to better select patients for prostate transrectal ultrasound (TRUS) biopsy.

The efficiency of prostate-specific antigen density measurement using three different methods on the prediction of biochemical recurrence

BACKGROUND

The aim of this study was to evaluate the efficiency of prostate-specific antigen (PSA) density (PSAD) calculated through prostate volume (PV) obtained via transrectal ultrasound (TRUS) and magnetic resonance imaging (MRI) and actual prostate weight (PW) methods obtained via pathological evaluation on the prediction of biochemical recurrence (BCR) in the follow-ups of patients who had undergone radical prostatectomy (RP).

METHODS

A total of 335 clinically localized prostate cancer (PCa) patients who had received open RP between January 2015 and December 2018 were enrolled in the study. Pre and postoperative demographic data, clinical and pathological findings and BCR conditions were recorded. The PSAD was calculated using information obtained through preoperative TRUS examinations, MRI, and collected pathological specimens after RP by dividing the maximum preoperative PSA value and PV/PW.

RESULTS

In a mean follow-up duration of 20.2 ± 8.5 months, recurrence was observed in 52 patients (24.4%) and progression was observed in 8 (3.8%) patients. The TRUS-PSAD, MRI-PSAD, and PW-PSAD values were statistically significantly higher in BCR patients compared to non-BCR patients. The International Society of Urologic Pathologists (ISUP) grade 5 and pT3b as a pathological stage were detected as independent variables in the prediction of BCR formation. Actual PW had a high prediction value compared to other PSAD measurements at <40 g prostate weights, but it had a low prediction value in prostates with an actual PW >60 g.

CONCLUSIONS

In this study, it was stated that PSAD acquired through different imaging methods does not affect the usability of PSAD in BCR prediction in clinical practice. The ISUP grade 5 and pT3b stage PCa were detected as independent markers in BCR prediction after RP.

Overweight and obesity as risk factors for biochemical recurrence of prostate cancer after radical prostatectomy

BACKGROUND

Previous studies have shown a relationship between the occurrence and recurrence of prostate cancer; however, this relationship remains controversial. We investigated the relationship between obesity and biochemical recurrence in patients with prostate cancer.

METHODS

Clinicopathological factors were analyzed after dividing the patient population according to the Asian population-specific body mass index (BMI) criteria for "normal" (< 23 kg/m²), "overweight" (23-27.5 kg/m²), and "obese" (≥ 27.5 kg/m²). Among the 389 patients included in this study, 108 were classified as normal, while 227 and 54 patients were classified as overweight and obese, respectively. The relationships between clinicopathological factors and biochemical recurrence were analyzed by univariate and multivariate Cox ≤ proportional hazard models. Biochemical recurrence was defined as two consecutive prostate-specific antigen (PSA) measurements ≥ 0.2 ng/mL.

RESULTS

In univariate analysis, the categorical variables of "overweight" and "obese" were significant prognostic factors for biochemical recurrence. In multivariate analysis models including PSA density [hazard ratio (HR) 1.8, p = 0.01], extraprostatic extension (HR 2.0, p < 0.001), Gleason score (HR 1.7, p = 0.01), surgical margin positivity (HR 2.46, p < 0.001), and lymphovascular invasion (HR 2.53, p < 0.001), the categorical variables of "overweight" (HR 1.6, p = 0.03) and "obese" (HR 1.76, p = 0.035) were prognostic factors for biochemical recurrence.

CONCLUSION

The obesity status of patients with prostate cancer as "overweight" and "obese" was a risk factor for biochemical recurrence after adjusting for other clinicopathological factors.

Significance of the prostate central gland and total gland volume ratio in the diagnosis of prostate cancer patients in the prostate specific antigen grey zone

Objective

To explore the significance of the prostate central gland to total gland volume ratio (PVc/PV) in the diagnosis of prostate cancer (PCa) in patients with prostate specific antigen (PSA) levels in the grey zone (4–10 ng/ml).

Methods

This retrospective study enrolled patients that had undergone prostate biopsy. The volume of the prostate and the central prostate gland were measured. The differences in PSA, the ratio of free to total PSA (f/tPSA), PSA density (PSAD) and PVc/PV between the PCa and non-PCa groups were compared. Receiver operating characteristic curve analysis for PCa and clinically significant PCa (csPCa) diagnosis were calculated according to PSA (reference), f/tPSA, PSAD and PVc/PV.

Results

This study enrolled 136 patients. There was no significant difference in PSA and f/tPSA between the PCa and non-PCa groups, while there were significant differences in PSAD and PVc/PV. The area under the curve values of PVc/PV for PCa or csPCa diagnosis were 0.876 and 0.933, respectively; and for PSAD, they were 0.705 and 0.790, respectively. These were significantly different compared with the PSA curve, whereas f/tPSA showed no significant difference from the PSA curve.

Conclusion

PVc/PV could be a predictor of PCa when PSA is between 4–10 ng/ml.

Biparametric prostate MRI and clinical indicators predict clinically significant prostate cancer in men with "gray zone" PSA levels

PURPOSE

To predict clinically significant prostate cancer (cs-PCa) by combining the Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) score based on biparametric magnetic resonance imaging (bp-MRI) and clinical indicators in men with prostate-specific antigen (PSA) levels in the gray zone of 4-10 ng/mL.

METHOD

We retrospectively analyzed 364 patients with elevated PSA levels in the gray zone who had pathologically confirmed disease and had undergone MRI examinations from January 2015 to October 2019; a training group (n = 255) and validation group (n = 109) were randomly established. Multivariate logistic regression analysis of the training group was performed to identify the independent predictors for cs-PCa, thereby establishing a predictive model that was evaluated in the training and validation groups by analyzing the receiver operating characteristic (ROC) curve.

RESULTS

In the training group, the PI-RADS v2 score and prostate volume (PV) were independent predictors of cs-PCa (P < 0.05). The prediction model comprising the PI-RADS v2 score and PV had a larger AUC than the other predictors alone in the training group. The diagnostic sensitivity and specificity of the prediction model were 84.1 % and 83.4 %, respectively. The prediction model was indicated to have better predictive performance in the validation group.

CONCLUSIONS

The prediction model exhibits a satisfactory predictive value for cs-PCa in men with PSA levels in the gray zone. PI-RADS v2 is the strongest univariate predictor for the detection of cs-PCa in men with PSA in the gray zone, but combining this with the PV can provide superior predictive ability.

The Specific Choice of Transrectal Ultrasound-Guided Prostate Biopsy Scheme Based on Prostate Specific Antigen and Prostate Specific Antigen Density

Background

Although magnetic resonance imaging (MRI)-targeted biopsy and saturation biopsy can improve the accuracy of prostate biopsy, transrectal ultrasound (TRUS)-guided prostate biopsy is still the cornerstone for diagnosis of prostate cancer. However, it is not clear whether it is necessary to perform the same TRUS-guided biopsy scheme for patients with different prostate specific antigen (PSA) or prostate specific antigen density (PSAD) levels. The purpose of this study was to evaluate the optimal core number for specific suspected prostate cancer patients.

Material/Methods

There were 398 patients who underwent 12-core biopsy scheme, who were included in this retrospective analysis. The 12-core scheme incorporated a classic sextant scheme and 4-core biopsies from the base and middle regions bilaterally. The cancer detection rates of patients with different PSA or PSAD levels between the 12-core, sextant, 4-core, and 2-core biopsy were compared.

Results

The differences in cancer detection rates between the 12-core biopsy scheme and the sextant biopsy scheme were significant in patients with PSA <20 ng/mL or PSAD <0.3. There were no differences in the cancer detection rates between the 12-core biopsy scheme and the 4-core biopsy scheme in patients with PSA ≤50 ng/mL or PSAD ≤1.0. There were significant differences between 12-core and 2-core scheme when PSA ≤70 ng/mL or PSAD ≤1.5.

Conclusions

We recommend that the 12-core biopsy should be used for patients with PSA <20 ng/mL or PSAD <0.3. The biopsy scheme in patients with PSA 20–50 ng/mL or PSAD 0.3–1.0 should be considered in combination with DRE and MRI. For patients with PSA >50 ng/mL or PSAD >1.0, we recommend 6-core or 4-core biopsy by comprehensively considering multiple factors. The 2-core biopsy is recommended for patients with PSA >70 ng/mL or PSAD >1.5.

Performance characteristics of prostate-specific antigen density and biopsy primary Gleason score to predict biochemical failure in patients with intermediate prostate cancer who underwent radical prostatectomy

Background

Prognosis for intermediate-risk prostate cancer (PCa) remains variable; therefore, we aimed to investigate high-risk factors for biochemical recurrence (BCR), and intermediate-risk PCa using radical prostatectomy to identify patients having equivalent BCR-free survival rates when compared to high-risk PCa.

Patients and methods

A total of 441 medical records were analyzed, including those of 169 intermediate-risk and 272 high-risk PCa patients. Risk factors for time to BCR were tested and analyzed using Kaplan–Meier survival analysis, log-rank tests, and Cox proportion hazards models.

Results

In the intermediate-risk group, prostate-specific antigen density (PSAD) and primary Gleason pattern were significant preoperative risk factors for BCR. Moreover, BCR-free survival of patients in the intermediate-risk group with a higher PSAD (>0.5 ng/mL/cm³) was comparable with that of patients in the high-risk group (P=0.735). When combining primary Gleason pattern 4 and 3 with PSAD cut-offs 0.3–0.7 ng/mL/cm³, we found that BCR-free survival of patients in the intermediate-risk group with a primary Gleason pattern 4 and PSAD >0.3 ng/mL/cm³ was comparable with that of patients in the high-risk group (P=0.463).

Conclusion

PSAD and primary Gleason pattern are potential risk factors associated with biochemical failure in intermediate-risk PCa patients after radical prostatectomy. Regarding significant differences in prognosis according to PSAD as well as primary Gleason pattern on biopsy, a subset of the intermediate-risk patients could be identified with outcomes that were equivalent to that of high-risk patients.

Performance characteristics of prostate-specific antigen density and biopsy core details to predict oncological outcome in patients with intermediate to high-risk prostate cancer underwent robot-assisted radical prostatectomy

Background

Many urologic surgeons refer to biopsy core details for decision making in cases of localized prostate cancer (PCa) to determine whether an extended resection and/or lymph node dissection should be performed. Furthermore, recent reports emphasize the predictive value of prostate-specific antigen density (PSAD) for further risk stratification, not only for low-risk PCa, but also for intermediate- and high-risk PCa. This study focused on these parameters and compared respective predictive impact on oncologic outcomes in Japanese PCa patients.

Methods

Two-hundred and fifty patients with intermediate- and high-risk PCa according to the National Comprehensive Cancer Network (NCCN) classification, that underwent robot-assisted radical prostatectomy at a single institution, and with observation periods of longer than 6 months were enrolled. None of the patients received hormonal treatments including antiandrogens, luteinizing hormone-releasing hormone analogues, or 5-alpha reductase inhibitors preoperatively. PSAD and biopsy core details, including the percentage of positive cores and the maximum percentage of cancer extent in each positive core, were analyzed in association with unfavorable pathologic results of prostatectomy specimens, and further with biochemical recurrence. The cut-off values of potential predictive factors were set through receiver-operating characteristic curve analyses.

Results

In the entire cohort, a higher PSAD, the percentage of positive cores, and maximum percentage of cancer extent in each positive core were independently associated with advanced tumor stage ≥ pT3 and an increased index tumor volume > 0.718 ml. NCCN classification showed an association with a tumor stage ≥ pT3 and a Gleason score ≥8, and the attribution of biochemical recurrence was also sustained. In each NCCN risk group, these preoperative factors showed various associations with unfavorable pathological results. In the intermediate-risk group, the percentage of positive cores showed an independent predictive value for biochemical recurrence. In the high-risk group, PSAD showed an independent predictive value.

Conclusions

PSAD and biopsy core details have different performance characteristics for the prediction of oncologic outcomes in each NCCN risk group. Despite the need for further confirmation of the results with a larger cohort and longer observation, these factors are important as preoperative predictors in addition to the NCCN classification for a urologic surgeon to choose a surgical strategy.

Electronic supplementary material

The online version of this article (doi:10.1186/s12894-017-0238-y) contains supplementary material, which is available to authorized users.

Prostate-Specific Antigen Density and Gleason Score Predict Adverse Pathologic Features in Patients with Clinically Localized Prostate Cancer

Background

According to recent studies, prostate cancer is the second most common cancer among Iranian men. Radical prostatectomy has been considered the gold standard treatment in patients with clinically localized prostate cancer. Gleason score, PSA density, and PSA velocity are some of the parameters used to predict adverse pathologic features.

Objectives

The aim of this study was to evaluate the prognostic value of PSA density and Gleason score in predicting adverse pathologic features in patients with localized prostate cancer who undergo radical prostatectomy.

Methods

We conducted a cross-sectional study of 105 patients with localized prostate cancer who underwent radical prostatectomy between 2006 and 2013. We recorded Gleason scores and PSA levels, in addition to the results of pathological evaluations after radical prostatectomy, including prostate volume, stage, LNI (lymph node involvement), SVI (seminal vesicle invasion), and extraprostatic extension (EPE). Data were analyzed using SPSS version 21.

Results

Mean PSA density was 0.27 (0.17 SD). The frequencies of EPE, SVI, and LNI were 21.9, 16.2, and 2.9, respectively. The Mann-Whitney U-test demonstrated a significant correlation between PSA density and adverse pathologic features (EPE, SVI, and LNI).

Conclusions

PSA, PSA density, and Gleason score should be considered together in order to more accurately predict the adverse pathologic features of prostate cancer.

ERG rearrangement as a novel marker for predicting the extra-prostatic extension of clinically localised prostate cancer

Currently, there are no well-established preoperative clinicopathological parameters for predicting extra-prostatic extension (EPE) in patients with clinically localised prostate cancer (PCa). The transmembrane protease serine 2 (TMPRSS2)-ETS-related gene (ERG) fusion gene is a specific biomarker of PCa and is considered a prognostic predictor. The aim of the present study was to assess the value of this marker for predicting EPE in patients with clinically localised PCa. In total, 306 PCa patients with clinically localised disease, including 220 patients (71.9%) with organ-confined disease and 86 EPE cases (28.1%), were included in the study. Receiver operating characteristic curves and logistic regression were employed to establish the optimal cut-off value and to investigate whether ERG rearrangement was an independent predictor for the EPE of clinically localised PCa. A leave-one-out cross-validation (LOOCV) model was implemented to validate the predictive power of ERG rearrangement. An increase in ERG rearrangements was identified to be associate'd with EPE, and the optimal cut-off for predicting EPE was determined to be 2.25%, with a sensitivity of 70.24% [95% confidence interval (CI), 62.6-78.9%], a specificity of 80.43% (95% CI, 75.4-85.1%), and an area under the curve (AUC) of 0.781 (95% CI, 0.730-0.826). In the LOOCV model, ERG rearrangement also demonstrated good performance for predicting EPE (sensitivity, 76.923%; specificity, 71.429%; 95% CI for AUC, 0.724-0.958). In addition, a high Gleason score (≥7) and a cT2c classification upon biopsy were independent factors for EPE.

Prostate-specific antigen density predicts extracapsular extension and increased risk of biochemical recurrence in patients with high-risk prostate cancer who underwent radical prostatectomy

BACKGROUND

Patients with advanced local-stage, high-grade prostate cancer (Pca) and high pretreatment prostate-specific antigen (PSA) levels have inferior outcomes compared to their counterparts with more favorable clinical characteristics. However, some patients exhibit favorable pathological features or experience long-term PSA-free survival after radical prostatectomy (RP). We retrospectively examined the ability of preoperative characteristics to predict pathological and oncological outcomes in high-risk Pca patients who underwent RP.

METHODS

We examined data of 1,268 consecutive Pca patients treated with RP alone at 4 hospitals from the Michinoku Urological Cancer Study Group database. Preoperative predictors included age, PSA level, biopsy Gleason score, clinical T stage, and PSA density (PSAD). The outcome measures pathological T stage and PSA-free survival were evaluated by multivariate analysis.

RESULTS

We identified 380 high-risk Pca patients, of which 44 % patients had extracapsular extension. Logistic regression analysis indicated that PSAD was an independent predictor of adverse pathologic stage. The 5-year PSA-free survival rates were 82.9 % for patients with PSAD ≤0.468 ng mL(-1) cm(-2) and 50.7 % for those with PSAD >0.468 ng mL(-1) cm(-2) (P < 0.0001). Multivariate analyses revealed that PSAD, cT, and the number of preoperative high-risk Pca criteria were independent predictors of PSA-free survival.

CONCLUSIONS

PSAD may be an independent predictor of advanced pathological features and biochemical recurrence in high-risk Pca patients treated with RP alone. PSAD may be used for further risk stratification of high-risk Pca patients.

Medical technologies for the diagnosis of prostate cancer

Prostate cancer is an extremely prevalent problem, especially in our aging population. The prostate-specific antigen test has revolutionized prostate cancer screening. Significant advances have been made in the usage of prostate-specific antigen and its derivatives, biomarkers, diagnostic imaging techniques, biopsy strategy, biopsy needle design and anesthetic agents. Further improvement in prostate cancer detection hinges on the development of an imaging technique that is tumor specific and sensitive to biological aggressiveness.

Prediction of extraprostatic extension in patients with clinically organ-confined prostate cancer

INTRODUCTION

Preoperative parameters for predicting extraprostatic extension (ECE) in clinically organ-confined prostate cancer patients are not well defined. Our aim was to evaluate the roles of the biopsy Gleason score, prostate-specific antigen (PSA)-based parameters, volume, and clinical T classification in prediction of ECE.

MATERIALS AND METHODS

A total of 188 patients with clinically organ-confined prostate cancer who underwent radical prostatectomy from January 1998 to December 2007 were included in the study. Age, prostate volume, preoperative total serum PSA (tPSA), free PSA, PSA density (PSAD), biopsy Gleason score, and clinical T classification were analyzed by univariate and multivariate analyses to predict ECE.

RESULTS

Pathologic examination revealed 130 patients had organ-confined disease and 58 patients were positive for ECE. Multivariate logistic regression analyses showed that tPSA was an independent predictor of ECE. Gleason score ≥8 had a trend for predicting ECE. Receiver operating characteristic (ROC) curves suggested that tPSA and PSAD had a similar diagnosis performance in the whole cohort. For patients with Gleason score of 7, PSAD was found to be statistically better than tPSA for predicting ECE.

CONCLUSIONS

tPSA remains one of the most important factors for predicting ECE in prostate cancer patients. PSAD may be more helpful than tPSA for predicting ECE in the patients with Gleason score of 7.

Evaluating PSA Density as a Predictor of Biochemical Failure after Radical Prostatectomy: Results of a Prospective Study after a Median Follow-Up of 36 Months

Purpose. To evaluate the predictive ability of PSA density for biochemical relapse after radical prostatectomy in patients operated for clinically localized disease and to compare its predictive strength with preoperative PSA and Gleason score. Patients and Methods. The study evaluated 244 patients with localized disease who underwent an open retropubic radical prostatectomy between February 2007 and April 2011. PSA was measured every 3 months after surgery with a mean follow-up period of 36 months. Two consecutive rises >0.2 ng/mL were considered as biochemical relapse. Results. Biochemical recurrence was observed in 71 (29.1%). A great correlation was found between relapse and PSA (P = 0.005), PSA density (P = 0.002), Gleason score (P = 0.015), pathological stage (P = 0.001), positive surgical margins (P = 0.021), and invasion of seminal vesicles (P < 0.001) and lymph nodes (P < 0.001). We also found that PSA density was associated with adverse pathological findings. In univariate and multivariate analysis both PSA (P = 0.006) and PSA density (P = 0.009) were found to be significant predictors for relapse in contrast to tumor grade. Conclusion. PSA density is a valuable parameter in estimating the danger of biochemical failure and it may increase predictive potential through the incorporation in preoperative nomograms.

PSA density is superior than PSA and Gleason score for adverse pathologic features prediction in patients with clinically localized prostate cancer

INTRODUCTION

Prostate-specific antigen (PSA) and its kinetics have changed prostate cancer screening and diagnosis. The aim of the present study was to evaluate their value in prostate cancer prognosis by determining the predictive potential of PSA density for adverse pathologic features after radical prostatectomy, in terms of positive surgical margins (PSM), extracapsular disease (ECD), seminal vesicle invasion (SVI) and/or lymph node invasion (LNI), and to compare their predictive ability with preoperative PSA and biopsy Gleason score.

METHODS

We retrospectively analysed 285 patients diagnosed with prostate cancer and underwent a retropubic radical prostatectomy for clinically localized disease. Data concerning preoperative PSA, biopsy Gleason score and PSA density were collected and analyzed. PSA density was calculated by dividing preoperative PSA and the pathological volume of the prostate.

RESULTS

There was a significant difference in PSA density values between patients with PSM, ECD, SVI and LNI. Areas under the curve for PSA density were higher than those of PSA and Gleason score for all parameters of adverse pathology. In multivariate analyses, it was shown that PSA density and Gleason score were the only statistically significant predictors for PSM and ECD, PSA density and PSA for SVI and only PSA density for LNI.

CONCLUSION

PSA density is an accurate predictor for adverse pathology prediction in patients undergoing radical prostatectomy. These results demonstrate that this parameter is useful to determine the aggressiveness of prostate cancer and can be used as an adjunct in predicting outcomes after surgery.

Selective detection of histologically aggressive prostate cancer: an Early Detection Research Network Prediction model to reduce unnecessary prostate biopsies with validation in the Prostate Cancer Prevention Trial

BACKGROUND

Limited survival benefit and excess treatment because of prostate-specific antigen (PSA) screening in randomized trials suggests a need for more restricted selection of prostate biopsy candidates by discerning risk of histologically aggressive versus indolent cancer before biopsy.

METHODS

Subjects undergoing first prostate biopsy enrolled in a multicenter, prospective cohort of the National Cancer Institute Early Detection Research Network (N = 635) were analyzed to develop a model for predicting histologically aggressive prostate cancers. The control arm of the Prostate Cancer Prevention Trial (N = 3833) was used to validate the generalization of the predictive model.

RESULTS

The Early Detection Research Network cohort was comprised of men among whom 57% had no cancer, 14% had indolent cancer, and 29% had aggressive cancer. Age, body mass index, family history of prostate cancer, abnormal digital rectal examination (DRE), and PSA density (PSAD) were associated with aggressive cancer (all P < .001). The Early Detection Research Network model outperformed PSA alone in predicting aggressive cancer (area under the curve [AUC] = 0.81 vs 0.71, P < .01). Model validation in the Prostate Cancer Prevention Trial cohort accurately identified men at low (<10%) risk of aggressive cancer for whom biopsy could be averted (AUC = 0.78; 95% confidence interval, 0.75-0.80). Under criteria from the Early Detection Research Network model, prostate biopsy can be restricted to men with PSAD >0.1 ng/mL/cc or abnormal DRE. When PSAD is <0.1 ng/mL/cc, family history or obesity can identify biopsy candidates.

CONCLUSIONS

A predictive model incorporating age, family history, obesity, PSAD, and DRE elucidates criteria whereby ¼ of prostate biopsies can be averted while retaining high sensitivity in detecting aggressive prostate cancer.

Prognostic factors for the development of biochemical recurrence after radical prostatectomy

Prostate cancer is one of the most common cancers in Western countries and is associated with a considerable risk of mortality. Biochemical recurrence following radical prostatectomy is a relatively common finding, affecting approximately 25% of cases. The aim of our paper was to identify factors that can predict the occurrence of biochemical recurrence, so the patient can be properly counselled pre- and postoperatively. Medline review of the literatures was done followed by a group discussion on the chosen publications and their valuable influence. Preoperative serum total PSA and clinical stage, together with prostatectomy Gleason grade, tumour volume, and perineural and vascular invasions, were the most important variables found to influence outcome.

PCA3 molecular urine assay for prostate cancer: association with pathologic features and impact of collection protocols

INTRODUCTION

PCA3 is a non-coding mRNA molecule that is overexpressed in prostate cancer. The purpose of this study is to evaluate the utility of the PCA3 molecular urine test scores to predict adverse pathologic features and catheterized specimen collection.

METHODS

Hundred men with clinically localized prostate cancer scheduled to undergo robotic prostatectomy were enrolled in the study following a standard consent process. The study protocol consisted of providing four urine samples. Voided urine obtained following digital rectal examination (DRE) pre-operatively (Vl), catheterized urine without DRE (V2), and l0-day and 6-week postoperative voided (V3 and V4) urine samples were collected and analyzed. These four urine specimens underwent target capture, transcription-mediated amplification, and hybridization in order to quantify both PCA3 and PSA mRNA. The PCA3 score was calculated as the ratio of PCA3 to PSA.

RESULTS

Informative rates (sufficient mRNA for analysis) for VI, V2, V3 and V4 were 91, 85, 0 and 2%, respectively. There was no significant associations with pathological stage, Gleason score >6. Higher PCA3 scores at V1 correlated with increased risk for perineural invasion (P = 0.0479).

CONCLUSIONS

Informative PCA3 scores can be obtained from post-DRE voided urine as well as catheterized urine without a DRE. The PCA3 test does not seem to predict adverse pathologic features, though, may have an association with perineural invasion. The ability of PCA3 score to predict clinical outcome remains to be determined.

Serum prostate-specific antigen value adjusted for non-cancerous prostate tissue volume in patients undergoing radical prostatectomy: a new predictor of biochemical recurrence in localized or locally advanced prostate cancer

The aim of this study was to investigate the significance of serum prostate-specific antigen (PSA) value adjusted for total tumor volume (PSA/tumor volume) and serum PSA value adjusted for non-cancerous prostate tissue volume (NCPV) (PSA/NCPV) as a predictor of pathological findings and clinical outcome after radical prostatectomy. Clinical and pathological data of 407 patients (median age: 66.5 years; range: 41.8-85.7 years) were reviewed retrospectively. The median follow-up period was 18.1 months (range: 1.0-107.8 months). Biochemical recurrence was defined as detectable PSA levels (greater than 0.2 ng ml(-1)) and the time of biochemical recurrence was taken to be the first time PSA became detectable. In the multivariate model, PSA/NCPV was an independent predictor of extracapsular extension and positive surgical margin (P<0.05), but PSA/tumor volume was not. Kaplan-Meier curves revealed that PSA/NCPV correlated with biochemical recurrence-free survival (P<0.001; log-rank test) but PSA/tumor volume did not (P=0.275; log-rank test). PSA/NCPV was also a significant independent prognostic factor for biochemical recurrence-free survival on multivariate Cox proportional hazard analysis (P=0.004, relative risk=2.42). Our findings suggest that PSA/NCPV is associated independently with extracapsular extension and surgical margin status and may be an independent prognostic variable of PSA recurrence after radical prostatectomy.

Prostate specific antigen versus prostate specific antigen density as a prognosticator of pathological characteristics and biochemical recurrence following radical prostatectomy

PURPOSE

The usefulness of prostate specific antigen density for predicting pathological stage and biochemical recurrence after radical prostatectomy has not been well defined. We investigated whether prostate specific antigen density yielded an advantage over total prostate specific antigen for predicting adverse pathological characteristics and disease recurrence following radical prostatectomy.

MATERIALS AND METHODS

A total of 13,434 men who underwent radical prostatectomy for clinically localized prostate cancer between 1984 and 2006 were included in this study. The study population was stratified by Gleason score (6 or less, 7, and 8 or greater), and the clinical and pathological characteristics of each group were compared. We constructed ROC curves and determined the ROC AUC and concordance index to specifically investigate the accuracy of prostate specific antigen and prostate specific antigen density for predicting pathological stage and biochemical recurrence.

RESULTS

Prostate specific antigen density was better than prostate specific antigen for predicting extraprostatic extension and biochemical-free recurrence in patients with a biopsy Gleason score of 6 or less (each p <0.001). In patients with a biopsy Gleason score of 7 prostate specific antigen was more predictive than prostate specific antigen density for seminal vesicle involvement (p <0.001), lymph node involvement (p = 0.017) and biochemical-free recurrence (p <0.001). In men with a biopsy Gleason score of 8 or greater there was no statistical difference between prostate specific antigen and prostate specific antigen density in terms of prognostic value for pathological or clinical outcomes.

CONCLUSIONS

Prostate specific antigen density is highly associated with pathological stage and biochemical-free survival following radical prostatectomy. In lower grade prostate cancers prostate specific antigen density is significantly more accurate for predicting extraprostatic extension and biochemical-free recurrence compared to total prostate specific antigen. It should be considered when counseling patients on outcomes following radical prostatectomy.

Long-term outcome of phase I/II clinical trial of Ad-OC-TK/VAL gene therapy for hormone-refractory metastatic prostate cancer

We evaluated the long-term safety and efficacy of Ad-OC-TK (recombinant adenoviral vector carrying an osteocalcin promoter-driven herpes simplex virus thymidine kinase gene) plus VAL (valacyclovir) gene therapy for hormone-refractory prostate cancer. Ad-OC-TK/VAL therapy is the first in vivo adenovirus-mediated gene therapy to be used to treat metastatic prostate cancer, including bone metastasis. Six patients were enrolled in this trial, and two doses of Ad-OC-TK (2.5 x 10(9) or 2.5 x 10(10) plaque-forming units) were injected into locally recurrent tumor or bone metastasis on day 1 and day 8. Patients were also given VAL (3 g/day) for 21 days. Safety and efficacy were evaluated for at least 8 months in each patient. All patients tolerated this therapy with no serious adverse events. One prostate-specific antigen (PSA) response (from 318.3 to 4.9 ng/ml) was observed with a time to PSA progression (TTP) of 12 months. Docetaxel (30 mg/m2 per week) and estramustine (560 mg/day) combination chemotherapy (DE) was given to three docetaxel-naive patients on PSA failure after gene therapy. All three patients had a PSA response to DE therapy with 21, 7, and 4 months of TTP. These results suggest that additional trials are warranted.

Prostate-specific antigen velocity in untreated, localized prostate cancer

OBJECTIVE

To report the results of a prospective study of active surveillance of untreated prostate cancer, with a focus on baseline predictors of prostate-specific antigen (PSA) velocity, as PSA velocity before treatment is an important predictor of prostate cancer mortality, and patients on active surveillance are monitored for several years to estimate the PSA velocity and thus select patients for radical treatment.

PATIENTS AND METHODS

A prospective study of active surveillance for localized prostate cancer opened at the Royal Marsden Hospital in 2002. Eligible patients had clinical stage T1/T2a, N0/Nx, M0/Mx adenocarcinoma of the prostate with a serum PSA level of < 15 ng/mL, a Gleason score of < or = 7 with primary grade < or = 3, and less than half the biopsy cores positive. The PSA velocity before treatment was analysed in relation to baseline clinical characteristics.

RESULTS

In all, 237 patients on surveillance were followed for a median of 24 months (median age 67 years; median initial PSA level 6.5 ng/mL; median pretreatment PSA velocity 0.44 ng/mL per year). On multivariate analysis, PSA density (i.e. serum PSA level/prostate volume) was the only significant determinant of PSA velocity (P < 0.001). Patients with a PSA density above or below the median (0.185 ng/mL/mL) had a median (interquartile range) PSA velocity of 0.92 (0.34-1.77) ng/mL per year and 0.35 (-0.06, 0.80) ng/mL per year, respectively.

CONCLUSIONS

PSA density, which is readily available at the time of diagnosis, is an independent determinant of PSA velocity in untreated, localized prostate cancer. If this is confirmed, PSA density could be used to inform the often difficult choice between active surveillance and immediate radical treatment.

Prostate-specific antigen density predicts adverse pathology and increased risk of biochemical failure

OBJECTIVES

To determine whether the prostate-specific antigen (PSA) density (PSAD), measured using either ultrasound (US) or prostatic weight (PW), is an independent predictor of adverse pathologic findings or biochemical-free survival and whether it outperformed PSA.

METHODS

The data were obtained prospectively from 1327 patients undergoing radical prostatectomy from 1990 to 2003. The US PSAD was calculated by dividing the preoperative PSA level in nanograms per milliliter by the US measured prostate volume in cubic centimeters. The PW PSAD was calculated by dividing the PSA value in nanograms per milliliter by the measured PW of the prostatectomy specimen in grams. Logistic regression analysis was performed to determine whether the US or PW PSAD was more accurate than the PSA level in predicting for adverse pathologic findings. A proportional hazards model was used to determine whether PSAD more accurately predicted for biochemical failure (PSA level greater 0.2 ng/mL).

RESULTS

Multivariate analysis demonstrated that US and PW PSAD were independent predictors of positive margins (odds ratio [OR] 5.00, 95% confidence interval [CI] 2.65 to 9.47 and OR 29.75, 95% CI 10.18 to 86.96, respectively), extracapsular disease (OR 10.89, 95% CI 5.32 to 22.32 and OR 126.62, 95% CI 37.99 to 422.07, respectively), seminal vesical invasion (OR 6.06, 95% CI 2.96 to 12.41 and OR 33.72, 95% CI 9.79 to 116.15, respectively), and biochemical failure (hazard ratio 3.32, 95% CI 2.38 to 4.63 and hazard ratio 8.70, 95% CI 5.21 to 14.52, respectively). The C-index demonstrated that both US and PW PSAD appeared more discriminant for adverse pathologic findings and biochemical failure than did the PSA level.

CONCLUSIONS

The US and PW PSAD are strong predictors of advanced pathologic features and biochemical failure after radical prostatectomy. The incorporation of PSAD into the risk assessment could provide additional prognostic information beyond grade, stage, and PSA level; therefore, the inclusion of PSAD into nomograms should be considered.

Determining risk of biochemical recurrence in prostate cancer by immunohistochemical detection of PTEN expression and Akt activation

PURPOSE

A considerable fraction of patients who undergo radical prostatectomy as treatment for primary prostate cancer experience biochemical recurrence detected by elevated serum levels of prostate-specific antigen. In this study, we investigate whether loss of expression of the tumor suppressor phosphatase and tensin homologue deleted on chromosome 10 (PTEN) and the phosphorylated form of the cell survival protein Akt (pAkt) predicts biochemical recurrence.

EXPERIMENTAL DESIGN

Expression of PTEN and pAkt was detected by immunohistochemistry in paraffin-embedded prostate cancer tissue obtained from men undergoing radical prostatectomy. Outcome was determined by 60-month follow-up determining serum prostate-specific antigen levels.

RESULTS

By itself, PTEN was not a good predictor of biochemical recurrence; however, in combination with pAkt, it was a better predictor of the risk of biochemical recurrence compared with pAkt alone. Ninety percent of all cases with high pAkt and negative PTEN were recurrent whereas 88.2% of those with low pAkt and positive PTEN were nonrecurrent. In addition, high Gleason scores resulted in reduced protection from decreased pAkt and increased PTEN. By univariate logistic regression, pAkt alone gives an area under the receiver-operator characteristic curve of 0.82 whereas the area under the receiver-operator characteristic curve for the combination of PTEN, pAkt, and Gleason based on a stepwise selection model is 0.89, indicating excellent discrimination.

CONCLUSIONS

Our results indicate that loss of PTEN expression, together with increased Akt phosphorylation and Gleason score, is of significant predictive value for determining, at the time of prostatectomy, the risk of biochemical recurrence.