Literature DB >> 27793023

Low serum total testosterone level as a predictor of upstaging and upgrading in low-risk prostate cancer patients meeting the inclusion criteria for active surveillance.

Matteo Ferro1, Giuseppe Lucarelli2, Dario Bruzzese3, Giuseppe Di Lorenzo4, Sisto Perdonà5, Riccardo Autorino6, Francesco Cantiello7, Roberto La Rocca8, Gian Maria Busetto9, Amelia Cimmino10, Carlo Buonerba4, Michele Battaglia2, Rocco Damiano7, Ottavio De Cobelli1,11,12, Vincenzo Mirone8, Daniela Terracciano13.   

Abstract

Active surveillance (AS) is currently a widely accepted treatment option for men with clinically localized prostate cancer (PCa). Several reports have highlighted the association of low serum testosterone levels with high-grade, high-stage PCa. However, the impact of serum testosterone as a predictor of progression in men with low-risk PCa has been little assessed.In this study, we evaluated the association of circulating testosterone concentrations with a staging/grading reclassification in a cohort of low-risk PCa patients meeting the inclusion criteria for the AS protocol but opting for radical prostatectomy.Radical prostatectomy (RP) was performed in 338 patients, eligible for AS according to the following criteria: clinical stage T2a or less, PSA<10ng/ml, two or fewer cancer cores, Gleason score (GS)≤6 and PSA density<0.2 ng/mL/cc. Reclassification was defined as upstaging (stage>pT2) and upgrading (GS≥7; primary Gleason pattern 4) disease. Unfavorable disease was defined as the occurrence of pathological stage>pT2 and predominant Gleason score 4. Total testosterone was measured before surgery.Low serum testosterone levels (<300 ng/dL) were significantly associated with upgrading, upstaging, unfavorable disease and positive surgical margins. The addition of testosterone to a base model, including age, PSA, PSA density, clinical stage and positive cancer involvement in cores, showed a significant independent influence of this variable on upstaging, upgrading and unfavorable disease.In conclusion, our results support the idea that total testosterone should be a selection criterion for inclusion of low-risk PCa patients in AS programs and suggest that testosterone level less than 300 ng/dL should be considered a discouraging factor when a close AS program is considered as treatment option.

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Keywords:  active surveillance; prostate cancer; testosterone; upgrading; upstaging

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Year:  2017        PMID: 27793023      PMCID: PMC5392340          DOI: 10.18632/oncotarget.12906

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Active surveillance (AS) has recently emerged as an alternative treatment for patients with low-risk prostate cancer (PCa)-related mortality, whereby curative intervention can be delayed until the time that disease is re-classified or there is evidence of disease progression [1]. At present, urologists still suffer from a limited preoperative ability to reliably predict the tumor aggressiveness. Clinical stage, tumor grade (biopsy Gleason score) and prostate-specific antigen (PSA) are the established preoperative prognostic markers. However, despite these variables it is still difficult to determine which patients are candidates for AS. Literature data indicate a progression rate of about 30% in men on AS and a PCa-specific survival of < 97% at 5 years [2]. Thus, there is an urgent need of additional markers allowing us to discriminate between indolent or aggressive diseases. Accumulating data indicate an important association between low testosterone concentrations and worrisome aspects of PCa. Multiple studies have reported the association of lower serum testosterone concentrations with high-grade PCa and a higher stage at presentation [3-6]. Furthermore, there is growing evidence supporting the theory that a drop in serum testosterone levels may modulate PCa risk and aggressiveness, since different metabolic disorders, such as obesity and metabolic syndrome (MetS), which are associated with low serum testosterone levels, have also been associated with an unfavorable PCa outcome [7, 8]. On this basis, total testosterone should be measured in patients with a localized PCa, in particularly when AS or nerve-sparing surgery is considered. In this study, we explored the impact of serum testosterone on upgrading, upstaging, unfavorable disease, positive surgical margins and predominant Gleason score 4 in a cohort of patients with very low-risk PCa who met the inclusion criteria for Prostate Cancer Research International: Active Surveillance (PRIAS) protocol, but elected to undergo radical prostatectomy (RP).

RESULTS

A total of 338 patients with PCa were enrolled in this study. Demographic and clinical characteristics of the overall study population are summarized in Table 1.
Table 1

Clinical and Pathological Characteristics

Variablen=338Median [25th - 75th percentile]
Age, years63.5 [59 ; 67]
PSA (ng/mL)5.6 [4.29 ; 7.25]
PSA density0.12 [0.09 ; 0.15]
Prostate Volume49 [40.75 ; 55]
Familiarity, Yes21 (6.2%)
PNI, Yes20 (5.9%)
Nr of Positive Cores, 2160 (47.3%)
Max % of core involved by tumor20 [10 ; 30]
Positive DRE36 (10.7%)
Testosterone (ng/dL)451.5 [380 ; 566]
Testosterone <300ng/dL53 (15.7%)

PNI, perineural invasion.

PNI, perineural invasion. Total testosterone levels showed a significant association with all the main outcomes of interest (Table 2). In particular, when treated as a continuous variable, lower total testosterone levels (median [IQR]) were associated with reclassification in terms of upstaging (299.5 [250 ; 390] vs. 488.5 [401 ; 600]; p < 0.001), upgrading (400.5 [292.25 ; 534] vs. 497.5 [401 ; 600]; p < 0.001), unfavorable disease (290 [250 ; 300] vs. 456 [390 ; 567]; p < 0.001) and predominant Gleason score 4 (300 [254 ; 502] vs. 477 [398 ; 597]; p < 0.001) . These associations were confirmed when subjects were analysed according to the presence or absence of a hypogonadism condition (total testosterone < 300 ng/dL). In addition, we found a significantly higher rate of hypogonadism in PCa patients with positive surgical margins (27.8% vs. 14.2%; p = 0.035). Of note, cancer involvement in positive cores (CIPC) was also significantly associated with all the outcomes (Table 2a and 2b). Receiver Operating Characteristic (ROC) curve analysis supported the prognostic role of total testosterone in the reclassification of men on AS (Figures 1-4). The corresponding area under the curve (AUC) ranged from 0.66 (95% C.I. 0.60 to 0.72) for upgrading, to 0.81 (95% C.I. 0.75 to 0.88) for upstaging. Sensitivities and specificities of total testosterone for each of the outcomes and according to both the “best combination” cut-off point and the cut-off point denoting a condition of hypogonadism are reported in Table 3a and 3b. To assess the role of total testosterone as an independent predictor of reclassification, a set of multivariable logistic regression models including age, PSA, PSA density, digital rectal examination (DRE) status and cancer involvement in positive cores (CIPC) was constructed (Table 4). Total testosterone included in these base models was a significant independent predictor, both as a continuous and dichotomous variable, of upstaging, upgrading and unfavorable disease. However, a significant gain in predictive accuracy was only detected for the outcome of upstaging (15.2% when considering total testosterone as a continuous variable and 12.4% when treating total testosterone as a dichotomous variable) and predominant Gleason score 4 (9.4% or 8.3%, respectively). No advantages over the base model were observed for the outcome of upgrading, unfavourable disease and for the prediction of positive surgical margins.
Figure 1

ROC Curve analysis for testosterone as a predictor of upstaging

Figure 4

ROC Curve analysis for testosterone as a predictor of predominant Gleason score 4

Table 4

Multivariable logistic regression models including age, PSA, PSA density, DRE status and CIPC for tumor upstaging, upgrading, unfavorable disease, positive surgical margins and predominant Gleason 4

Upstaging
Continous TTTT≥300ng/dLTT<300ng/dL
O.R. [95% C.I.]p-valueO.R. [95% C.I.]p-value
Age0.94 [0.89 to 1]0,0360.95 [0.9 to 1]0,063
PSA (ng/mL)1.22 [0.93 to 1.6]0,1491.15 [0.89 to 1.5]0,29
PSA Density, 0.1 increase0.47 [0.14 to 1.62]0,2310.45 [0.13 to 1.51]0,193
Positive DRE1.31 [0.48 to 3.55]0,6001.14 [0.42 to 3.12]0,798
CIPC1.05 [1.03 to 1.07]<0.0011.05 [1.03 to 1.07]<0.001
Testosterone, 10 ng/dl increase0.92 [0.89 to 0.94]<0.001
Testosterone, <300 ng/dL11.62 [5.43 to 24.85]<0.001
AUC, [95% C.I.]0.84 [0.79 to 0.9]0.81 [0.75 to 0.88]
Gain in predictive accuracy; % (p-value)15.2 (<0.001)12.4 (0.002)
Upgrading
Continous TTTT≥300ng/dLTT<300ng/dL
O.R. [95% C.I.]p-valueO.R. [95% C.I.]p-value
Age1.01 [0.96 to 1.05]0,8271.01 [0.96 to 1.05]0,791
PSA (ng/mL)1.02 [0.84 to 1.24]0,8681.02 [0.83 to 1.24]0,87
PSA Density, 0.1 increase1.07 [0.43 to 2.63]0,8900.97 [0.39 to 2.39]0,945
Positive DRE1.18 [0.54 to 2.6]0,6741.14 [0.51 to 2.53]0,754
CIPC1.05 [1.03 to 1.07]<0.0011.05 [1.03 to 1.07]<0.001
Testosterone, 10 ng/dl increase0.97 [0.96 to 0.99]0,001
Testosterone, <300 ng/dL3.6 [1.74 to 7.46]0,001
AUC, [95% C.I.]0.73 [0.68 to 0.79]0.73 [0.68 to 0.79]
Gain in predictive accuracy; % (p-value)0.1 (0.935)0.1 (0.922)
Unfavorable Disease
Continous TTTT≥300ng/dLTT<300ng/dL
O.R. [95% C.I.]p-valueO.R. [95% C.I.]p-value
Age0.95 [0.88 to 1.03]0,2170.95 [0.87 to 1.03]0,197
PSA (ng/mL)1.29 [0.86 to 1.93]0,2221.26 [0.82 to 1.92]0,287
PSA Density, 0.1 increase0.14 [0.02 to 0.87]0,0350.12 [0.02 to 0.88]0,037
Positive DRE1.23 [0.34 to 4.47]0,7541.03 [0.27 to 3.94]0,968
CIPC1.05 [1.02 to 1.08]0,0011.05 [1.02 to 1.08]0,002
Testosterone, 10 ng/dl increase0.93 [0.89 to 0.97]0,001
Testosterone, <300 ng/dL10.26 [3.54 to 29.76]<0.001
AUC, [95% C.I.]0.84 [0.77 to 0.92]0.84 [0.73 to 0.95]
Gain in predictive accuracy; % (p-value)6.3 (0.119)5.9 (0.101)
Positive margins
Continous TTTT≥300ng/dLTT<300ng/dL
O.R. [95% C.I.]p-valueO.R. [95% C.I.]p-value
Age0.95 [0.89 to 1.01]0,0750.95 [0.89 to 1.01]0,072
PSA (ng/mL)0.85 [0.63 to 1.15]0,2950.85 [0.63 to 1.14]0,269
PSA Density, 0.1 increase1.85 [0.5 to 6.83]0,3581.79 [0.49 to 6.53]0,379
Positive DRE0.85 [0.26 to 2.7]0,7760.84 [0.27 to 2.69]0,774
CIPC1.02 [0.99 to 1.04]0,1911.02 [0.99 to 1.04]0,205
Testosterone, 10 ng/dl increase0.98 [0.96 to 1]0,097
Testosterone, <300 ng/dL2.25 [0.94 to 5.43]0,07
AUC, [95% C.I.]0.66 [0.56 to 0.76]0.66 [0.57 to 0.75]
Gain in predictive accuracy; % (p-value)0.74 (0.934)1.11 (0.904)
Predominant Gleason 4
Continous TTTT≥300ng/dLTT<300ng/dL
O.R. [95% C.I.]p-valueO.R. [95% C.I.]p-value
Age1 [0.95 to 1.06]0,9961 [0.94 to 1.06]0,916
PSA (ng/mL)1.3 [0.99 to 1.71]0,0541.3 [0.99 to 1.71]0,058
PSA Density, 0.1 increase0.16 [0.05 to 0.56]0,0040.13 [0.04 to 0.49]0,002
Positive DRE0.86 [0.32 to 2.28]0,7550.72 [0.26 to 2.05]0,543
CIPC1.06 [1.04 to 1.08]<0.0011.06 [1.04 to 1.08]<0.001
Testosterone, 10 ng/dl increase0.96 [0.93 to 0.98]<0.001
Testosterone, <300 ng/dL6.66 [3.14 to 14.15]<0.001
AUC, [95% C.I.]0.81 [0.75 to 0.87]0.82 [0.75 to 0.89]
Gain in predictive accuracy; % (p-value)8.3 (0.046)9.4 (0.041)

For sake of readability of the results, when treating Testosterone as continuous predictor, the Odds Ratio have been computed for a 10ng/dl increase in TT levels. Testosterone has been analyzed both as continuous and as dichotomous predictor using 300ng/dl as cut-off. CIPC: cancer involvement in positive cores; DRE: Digital rectal examination; PNI: perineural invasion; PSA: prostate-specific antigen; TT: total testosterone

DRE: Digital rectal examination; PNI: perineural invasion; PSA: prostate-specific antigen CIPC: cancer involvement in positive cores; DRE: Digital rectal examination; PNI: perineural invasion; PSA: prostate-specific antigen For sake of readability of the results, when treating Testosterone as continuous predictor, the Odds Ratio have been computed for a 10ng/dl increase in TT levels. Testosterone has been analyzed both as continuous and as dichotomous predictor using 300ng/dl as cut-off. CIPC: cancer involvement in positive cores; DRE: Digital rectal examination; PNI: perineural invasion; PSA: prostate-specific antigen; TT: total testosterone

DISCUSSION

The principal aim of an AS program is to reduce over-treatment in patients with clinically confined, very-low-risk PCa, without compromising curative treatment [9]. The identification of these low risk PCa is still a critical issue today, and many markers have been identified for selecting candidates for non-aggressive therapies [10-16]. Although the selection criteria for AS include stringent clinicopathological parameters, it is well established that about a third of men on AS will undergo progression requiring active treatment [1, 17]. Therefore, there is a strong interest in finding risk factors for reclassification and progression, particularly in men with a long life expectancy [18]. Conflicting results have been reported on the risk/benefit ratio of AS as upfront treatment strategy allowing radical treatment to be delayed or avoided [19-22]. Therefore, an important focus for AS protocols is to improve the selection of patients at the time of inclusion in order to minimize the reclassification of risk during follow-up. In this context, several tools have been proposed to overcome these limitations of current AS protocols. Multiparametric magnetic resonance imaging (MRI) [23], urinary prostate cancer antigen 3 (PCA3) and serum markers [24], histopathological [25-27] and genetic factors [28-30] have been analyzed. Little is yet known about the clinical utility of serum testosterone levels as a predictor of disease reclassification in men on AS. Recently, in a relatively small population San Francisco et al [31] showed that free, but not total testosterone levels nor the free testosterone/total testosterone ratio or the testosterone/PSA ratio, were significantly lower in men with PCa and disease reclassification during AS. A number of previous reports identified a significant relationship between a high Gleason score and low testosterone levels [32-35]. Furthermore, growing evidence supports the idea that a decreased serum testosterone concentration, related to different metabolic disorders including obesity and metabolic syndrome, may modulate PCa aggressiveness [36]. We assessed the use of serum total testosterone as a predictor of disease reclassification in a cohort of men eligible for AS according to PRIAS criteria. Our results showed that men who underwent reclassification had significantly lower serum total testosterone levels compared to those who were not reclassified (p < 0.001). By ROC curve analysis, we identified a testosterone threshold of 344 ng/dL, 431 ng/dL, 302 ng/dL and 315 for upstaging, upgrading, unfavorable disease and predominant Gleason score 4 respectively. Men with testosterone levels lower than these values had a higher risk of disease reclassification. When the threshold value for hypogonadism ( < 300ng/dL) was used as cut-off [6, 37], we found significantly more patients with upstaging, upgrading, unfavorable disease, positive surgical margins and predominant Gleason score 4 compared to eugonadal patients. Multivariate analysis indicated that serum total testosterone, used either as a continuous or a dichotomous variable, was an independent predictor of upgrading, upstaging, unfavorable disease and predominant Gleason score 4. Pichon et al [33] had shown in a larger study population that a low serum testosterone level was an independent predictor of a predominant Gleason pattern 4 at radical prostatectomy and of upgrading from low- to high-grade PCa between needle biopsies and prostatectomy specimens. Accordingly, the San Francisco et al study [31] showed that men on AS with low serum free testosterone levels had more than four times the risk of disease reclassification, suggesting the need for further studies to assess testosterone as a tool to better select patients for AS. Collectively, our results suggest the importance of taking into account hypogonadism and metabolic disorders such as obesity and metabolic syndrome, as selection criteria for patients inclusion in AS programs. Consistently, the majority of large observational series have shown that obesity is a risk factor for adverse pathologic features, a more advanced stage, higher risk for biochemical recurrence after RP, and risk of death from PCa [7, 38, 39]. Our findings support the use of total testosterone as a predictor of disease reclassification for men with PCa undergoing AS. Moreover, our models including testosterone showed a significant gain in predictive accuracy of upstaging and unfavorable disease. These data are consistent with the idea that patients with low serum testosterone levels are more likely to have aggressive PCa. AS protocols in these patients should ensure close monitoring of PSA levels and imaging examinations, in order to identify tumor progression as early as possible. The strength of this study is the large population (338 patients on AS), allowing a robust statistical analysis. Furthermore, as recommended by the Endocrine Society guidelines, all blood samples for testosterone were analyzed using the same platform, and were collected between 07:00 AM to 10:00 AM hours, in order to avoid circadian variations and inter-assay variability. Total testosterone was measured with one of the best electrochemiluminescent immunoassays and the histological analysis of prostate biopsies and prostatectomy specimens was done by three senior uropathologists avoiding variability in Gleason scores interpretation. Moreover, exclusion criteria were strictly defined to rule out patients that had received neoadjuvant hormonal therapy or affected by other comorbidities that can affect the testosterone levels. However, some limitations have to be taken into account. Firstly, our study was carried out retrospectively, and several useful measures that affect testosterone values, such as Sex Hormone Binding Globulin (SHBG), luteinizing hormone and oestradiol, were not determined. In addition, like previous reports on the association between hypogonadism and a poor outcome in PCa, we did not use mass-spectrometry-based measurements, recently advocated as the gold standard for sex steroid quantifications [40]. Finally, we lacked data about free and bioavailable testosterone, which were demonstrated to be important in a previous report [31]. The focus was primarily on the pathological findings, but we did not assess biochemical recurrence or prostate cancer-specific mortality, which might be a more important issue than the adverse pathological characteristics to better define progression. In fact, it is well accepted that disease reclassification may be the result of sampling error [41]. In conclusion, men with hypogonadism eligible for AS are at higher risk of disease upgrading and upstaging compared to men with normal serum testosterone levels. These results highlight the utility of evaluating testosterone levels in patients with localized PCa, eligible for AS. Further prospective studies on large populations, with mass-spectrometry-based testosterone measurements and SHBG, luteinizing hormone, oestradiol, free and bioavailable testosterone data are needed to confirm our findings and support the use of circulating sex hormones as prognostic biomarkers in patients eligible for AS.

MATERIALS AND METHODS

Patients

Between January 2009 and December 2015, 338 consecutive men were referred for localized PCa, and underwent, within 3 months of diagnosis, laparoscopic or robot-assisted laparoscopic RP at three tertiary care institutions (Departments of Urology of the National Cancer Institute “Fondazione Pascale”-Naples, of the University of Catanzaro and of the University of Bari). Patients fulfilled the inclusion criteria for the PRIAS protocol [42] defined as: clinical stage T2a or less, PSA < 10 ng/ml, 2 or less cancer involvement cores after a biopsy scheme of at least 12 cores, Gleason score (GS)≤6 and PSA density < 0.2 ng/mL/cc . Pathological findings in prostate biopsies were compared with pathological specimens after RP. Reclassification was defined as disease upstaging (pathological stage>pT2) and upgrading (GS ≥ 7; primary Gleason pattern 4). Unfavorable disease was defined as the occurrence of pathological stage>pT2 and predominant Gleason score 4. RP specimens were processed and evaluated according to the Stanford protocol [43] by three experienced genitourinary pathologists, blinded to the index-tests results of each Institution. For all patients, at least 12 core biopsies were analyzed according to the 2005 International Society of Urological Pathology recommendations [44]. None of the study patients received neoadjuvant hormonal therapy (antiandrogens or luteinizing hormone-releasing hormone analogues or antagonists) or other hormonal preparations (i.e., 5-α reductase inhibitors) that could alter their PSA values. We also excluded patients with acute bacterial prostatitis or previous prostate surgery in the 3 months before biopsy. In addition, subjects with chronic renal disease, marked alterations in blood protein levels, hemophilia, incurable endocrine diseases or those who had previously undergone multiple transfusions, were excluded from the study because these conditions could alter the concentration of total PSA and testosterone. Data collected included age, preoperative PSA level, PSA density, clinical stage and preoperative serum testosterone levels. The threshold for hypogonadism was set at a total testosterone level of 300 ng/dL, in agreement with the American Association of Clinical Endocrinologist guidelines [37]. Accordingly, patients were further divided into two groups: 1) low total testosterone group ( < 300 ng/dL) and 2) normal testosterone group (≥300 ng/dL). Clinical stage was assessed by digital rectal examination and magnetic resonance imaging by the attending surgeon according to TNM staging (2009). Disease upstaging was regarded as pathological stage ≥T3a after RP with clinical stage ≤T2c. Prostate cancer upgrading was defined as GS ≥7 in RP specimens with GS ≤6 in needle biopsies. This study received approval from the local hospital ethics committee (i.e. institutional review board approval). Written informed consent was obtained from all patients.

Hormonal assay

All patients underwent systematic blood sampling between 7 AM and 10 AM on the day before surgery to assess serum total testosterone concentrations. Electrochemiluminescence immuno-assays, using high-affinity monoclonal antibodies, were performed at the laboratories of the three Institutions, blinded to the pathological results, using Testosterone ElecsysII (Modular Analytics E170 -Roche, Basel, Switzerland).

Statistical analysis

Numerical variables were recorded and analysed as median [25th - 75th percentile] while categorical variables were expressed as frequencies and percentages. Comparisons between groups were based on the Mann-Whitney or Chi square tests. The predictive accuracy of testosterone was evaluated using Receiver Operating Characteristic (ROC) analysis and quantified in terms of Area Under the Curve (AUC) and corresponding 95% confidence interval (95% C.I.). The independent role of testosterone in predicting pathological outcomes at radical prostatectomy was assessed using multivariable logistic regression models; a bootstrap approach, based on 1999 bootstrap replications, was used to compare the percentage change in predictive accuracy (in terms of AUC) between nested logistic models. Statistical analyses and modelling were performed with R statistical computing software (R Foundation for Statistical Computing, Vienna, Austria). P-values < 0.05 were considered statistically significant.
Table 2A

Clinical and pathological variables associated with tumor upstaging and upgrading. CIPC: cancer involvement in positive cores

UpstagingUpgrading
No (n=272)Yes (n=66)p-valueNo (n=192)Yes (n=146)p-value
Age (years)63.5 [59 ; 67]63.5 [58.75 ; 66]0.91863 [58 ; 67]64 [59.75 ; 67]0.176
PSA (ng/mL)5.68 [4.35 ; 7.3]5.6 [4.12 ; 6.68]0.5845.55 [4.2 ; 7.3]5.6 [4.43 ; 7.09]0.834
PSA density0.12 [0.09 ; 0.15]0.12 [0.09 ; 0.15]0.7160.12 [0.09 ; 0.15]0.12 [0.09 ; 0.15]0.468
Prostate Volume48 [40 ; 55]49.5 [41 ; 54.25]0.72849 [41 ; 55]48.5 [40 ; 55]0.681
Familiarity, Yes16 (5.9)5 (7.6)0.57612 (6.3)9 (6.2)0.974
PNI. Yes13 (4.8)7 (10.6)0.0837 (3.6)13 (8.9)0.042
Nr of Positive Cores, 2122 (44.9)38 (57.6)0.06386 (44.8)74 (50.7)0.282
CIPC (%)20 [10 ; 30]40 [30 ; 50]<0.00120 [10 ; 30]30 [20 ; 45]<0.001
Positive DRE26 (9.6)10 (15.2)0.18618 (9.4)18 (12.3)0.477
Testosterone (ng/dL)488.5 [401 ; 600]299.5 [250 ; 390]<0.001497.5 [401 ; 600]400.5 [292.25 ; 534]<0.001
Testosterone <300 ng/dL20 (7.4)33 (50)<0.00113 (6.8)40 (27.4)<0.001

DRE: Digital rectal examination; PNI: perineural invasion; PSA: prostate-specific antigen

Table 2B

Clinical and pathological variables associated with unfavorable disease, positive surgical margins and predominant Gleason score 4

Unfavorable DiseasePositive marginsPredominant Gleason 4
No (n=316)Yes (n=22)p-valueNo (n=302)Yes (n=36)p-valueNo (n=276)Yes (n=62)p-value
Age (years)63.5 [59 ; 67]63.5 [59.5 ; 66]0,90464 [59 ; 67]61.5 [55.5 ; 65]0.13663 [58 ; 67]64.5 [60 ; 68]0,168
PSA (ng/mL)5.6 [4.4 ; 7.3]5.5 [4 ; 6.3]0,2445.64 [4.29 ; 7.25]5.03 [4.14 ; 7.27]0.4515.6 [4.4 ; 7.3]5.6 [4.1 ; 7]0,43
PSA density0.12 [0.09 ; 0.15]0.11 [0.06 ; 0.14]0,0680.12 [0.09 ; 0.15]0.12 [0.09 ; 0.15]0.9250.12 [0.09 ; 0.15]0.11 [0.07 ; 0.15]0,073
Prostate Volume48 [40 ; 55]52 [41 ; 61.3]0,08549 [41 ; 55]45 [38.5 ; 53.75]0.10247.5 [40 ; 55]51.5 [41 ; 60]0,011
Familiarity, Yes20 (6.3)1 (4.5)1,00019 (6.3)2 (5.6)1.00017 (6.2)4 (6.5)1,000
PNI, Yes17 (5.4)3 (13.6)0,13217 (5.6)3 (8.3)0.4589 (3.3)11 (17.7)<0.001
Nr of Positive Cores. 2146 (46.2)14 (63.6)0,123146 (48.3)14 (38.9)0.283129 (46.7)31 (50)0,642
CIPC (%)25 [10 ; 35]40 [30 ; 60]<0.00125 [10 ; 35]30 [20 ; 40]0.02720 [10 ; 30]40 [30 ; 50]<0.001
Positive DRE32 (10.1)4 (18.2)0,27332 (10.6)4 (11.1)1.00028 (10.1)8 (12.9)0,525
Testosterone (ng/dL)456 [390 ; 567]290 [250 ; 300]<0.001456 [389 ; 566.25]400.5 [290 ; 540.5]0.0643477 [398.3 ; 597.3]300 [254.5 ; 502]<0.001
Testosterone <300 ng/dL39 (12.3)14 (63.6)<0.00143 (14.2)10 (27.8)0.03525 (9.1)28 (45.2)<0.001

CIPC: cancer involvement in positive cores; DRE: Digital rectal examination; PNI: perineural invasion; PSA: prostate-specific antigen

Table 3A

Sensitivities and specificities of total testosterone for each of the outcomes

Testosterone (ng/dL)Sensitivity (95% C.I.)Specificity (95% C.I.)
Upstaging3440.70 (0.59 to 0.8)0.90 (0.86 to 0.93)
Upgrading4310.60 (0.52 to 0.67)0.70 (0.63 to 0.77)
Unfavorable disease3020.85 (0.81 to 0.89)0.82 (0.64 to 0.95)
Predominant Gleason 43150.53 (0.4 to 0.66)0.87 (0.83 to 0.91)
Table 3B

Sensitivities and specificities of testosterone < 300 ng/dL (hypogonadism) for each of the outcomes

Hypogonadism condition
Testosterone (ng/dL)Sensitivity (95% C.I.)Specificity (95% C.I.)
Upstaging3000.65 (0.53 to 0.76)0.92 (0.89 to 0.95)
Upgrading3000.34 (0.27 to 0.42)0.92 (0.89 to 0.96)
Unfavorable disease3000.85 [0.81 to 0.89]0.82 [0.64 to 0.95]
Predominant Gleason 43000.52 (0.39 to 0.65)0.88 (0.84 to 0.92)
  44 in total

1.  Obesity and prostate cancer clinical risk factors at presentation: data from CaPSURE.

Authors:  Christopher J Kane; William W Bassett; Natalia Sadetsky; Stefanie Silva; Katrine Wallace; David J Pasta; Matthew R Cooperberg; June M Chan; Peter R Carroll
Journal:  J Urol       Date:  2005-03       Impact factor: 7.450

2.  Stronger association between obesity and biochemical progression after radical prostatectomy among men treated in the last 10 years.

Authors:  Stephen J Freedland; William B Isaacs; Leslie A Mangold; Sindy K Yiu; Kelly A Grubb; Alan W Partin; Jonathan I Epstein; Patrick C Walsh; Elizabeth A Platz
Journal:  Clin Cancer Res       Date:  2005-04-15       Impact factor: 12.531

Review 3.  The Prostate cancer Research International: Active Surveillance study.

Authors:  Chris H Bangma; Meelan Bul; Monique Roobol
Journal:  Curr Opin Urol       Date:  2012-05       Impact factor: 2.309

Review 4.  Active surveillance for prostate cancer: a systematic review of the literature.

Authors:  Marc A Dall'Era; Peter C Albertsen; Christopher Bangma; Peter R Carroll; H Ballentine Carter; Matthew R Cooperberg; Stephen J Freedland; Laurence H Klotz; Christopher Parker; Mark S Soloway
Journal:  Eur Urol       Date:  2012-06-07       Impact factor: 20.096

5.  American Association of Clinical Endocrinologists Medical Guidelines for clinical practice for the evaluation and treatment of hypogonadism in adult male patients--2002 update.

Authors:  Steven M Petak; Howard R Nankin; Richard F Spark; Ronald S Swerdloff; Luis J Rodriguez-Rigau
Journal:  Endocr Pract       Date:  2002 Nov-Dec       Impact factor: 3.443

Review 6.  Risk of Gleason grade inaccuracies in prostate cancer patients eligible for active surveillance.

Authors:  Ronald H Shapiro; Peter A S Johnstone
Journal:  Urology       Date:  2012-09       Impact factor: 2.649

7.  Low free testosterone levels predict disease reclassification in men with prostate cancer undergoing active surveillance.

Authors:  Ignacio F San Francisco; Pablo A Rojas; William C DeWolf; Abraham Morgentaler
Journal:  BJU Int       Date:  2014-05-04       Impact factor: 5.588

8.  Predicting Pathological Features at Radical Prostatectomy in Patients with Prostate Cancer Eligible for Active Surveillance by Multiparametric Magnetic Resonance Imaging.

Authors:  Ottavio de Cobelli; Daniela Terracciano; Elena Tagliabue; Sara Raimondi; Danilo Bottero; Antonio Cioffi; Barbara Jereczek-Fossa; Giuseppe Petralia; Giovanni Cordima; Gilberto Laurino Almeida; Giuseppe Lucarelli; Carlo Buonerba; Deliu Victor Matei; Giuseppe Renne; Giuseppe Di Lorenzo; Matteo Ferro
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

9.  Prognostic value of PTEN loss in men with conservatively managed localised prostate cancer.

Authors:  J Cuzick; Z H Yang; G Fisher; E Tikishvili; S Stone; J S Lanchbury; N Camacho; S Merson; D Brewer; C S Cooper; J Clark; D M Berney; H Møller; P Scardino; Z Sangale
Journal:  Br J Cancer       Date:  2013-05-21       Impact factor: 7.640

10.  Absence of Bladder Outlet Obstruction Is an Independent Risk Factor for Prostate Cancer in Men Undergoing Prostate Biopsy.

Authors:  Luigi Cormio; Giuseppe Lucarelli; Oscar Selvaggio; Giuseppe Di Fino; Vito Mancini; Paolo Massenio; Francesco Troiano; Francesca Sanguedolce; Pantaleo Bufo; Giuseppe Carrieri
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

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  21 in total

1.  Total testosterone density predicts high tumor load and disease reclassification of prostate cancer: results in 144 low-risk patients who underwent radical prostatectomy.

Authors:  Antonio B Porcaro; Alessandro Tafuri; Marco Sebben; Tania Processali; Marco Pirozzi; Aliasger Shakir; Nelia Amigoni; Riccardo Rizzetto; Matteo Brunelli; Filippo Migliorini; Salvatore Siracusano; Walter Artibani
Journal:  Int Urol Nephrol       Date:  2019-08-23       Impact factor: 2.370

2.  Characterization of a "low-risk" cohort of grade group 2 prostate cancer patients: Results from the Shared Equal Access Regional Cancer Hospital database.

Authors:  Kathleen F McGinley; Xizi Sun; Lauren E Howard; William J Aronson; Martha K Terris; Christopher J Kane; Christopher L Amling; Matthew R Cooperberg; Stephen J Freedland
Journal:  Int J Urol       Date:  2017-06-06       Impact factor: 3.369

3.  Changes in the levels of testosterone profile over time in relation to clinical parameters in a cohort of patients with prostate cancer managed by active surveillance.

Authors:  Ahmed S Zakaria; Alice Dragomir; Wassim Kassouf; Simon Tanguay; Armen Aprikian
Journal:  World J Urol       Date:  2018-03-20       Impact factor: 4.226

4.  The Relationship Between PSA and Total Testosterone Levels in Men With Prostate Cancer.

Authors:  Jose M Flores; Helen L Bernie; Eduardo Miranda; Bruno Nascimento; Elizabeth Schofield; Nicole Benfante; Sigrid Carlsson; John P Mulhall
Journal:  J Sex Med       Date:  2022-02-05       Impact factor: 3.937

5.  The factors predicting upgrading of prostate cancer by using International Society for Urological Pathology (ISUP) 2014 Gleason grading system.

Authors:  Turgay Turan; Berrin Güçlüer; Özgür Efiloğlu; Furkan Şendoğan; Ramazan Gökhan Atış; Turhan Çaşkurlu; Asıf Yıldırım
Journal:  Turk J Urol       Date:  2018-09-04

6.  Predicting Prostate Cancer Upgrading of Biopsy Gleason Grade Group at Radical Prostatectomy Using Machine Learning-Assisted Decision-Support Models.

Authors:  Hailang Liu; Kun Tang; Ejun Peng; Liang Wang; Ding Xia; Zhiqiang Chen
Journal:  Cancer Manag Res       Date:  2020-12-22       Impact factor: 3.989

7.  The presence of primary circulating prostate cells is associated with upgrading and upstaging in patients eligible for active surveillance.

Authors:  Nigel P Murray; Eduardo Reyes; Cynthia Fuentealba; Socrates Aedo; Omar Jacob
Journal:  Ecancermedicalscience       Date:  2017-01-10

8.  A novel model to predict positive prostate biopsy based on serum androgen level.

Authors:  Takeshi Ujike; Motohide Uemura; Atsunari Kawashima; Akira Nagahara; Kazutoshi Fujita; Yasushi Miyagawa; Norio Nonomura
Journal:  Endocr Relat Cancer       Date:  2017-10-18       Impact factor: 5.678

Review 9.  Exercise overcome adverse effects among prostate cancer patients receiving androgen deprivation therapy: An update meta-analysis.

Authors:  Gao Yunfeng; He Weiyang; He Xueyang; Huang Yilong; Gou Xin
Journal:  Medicine (Baltimore)       Date:  2017-07       Impact factor: 1.889

10.  BMI and serum lipid parameters predict increasing risk and aggressive prostate cancer in Chinese people.

Authors:  Ruizhe Zhao; Gong Cheng; Bing Wang; Chao Qin; Yun Liu; Yongsheng Pan; Jun Wang; Lixin Hua; Weidong Zhu; Zengjun Wang
Journal:  Oncotarget       Date:  2017-08-02
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