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Background and Aim: Recent therapeutic strategies for castration-resistant prostate cancer have focused on immunomodulation, especially the PD-1/PD-L1 pathway related to tumor-infiltrating lymphocytes. Few cases of castration-resistant prostate adenocarcinoma have been tested simultaneously for PD-1, PD-L1 and T lymphocytes in cancerous tissue. We quantified the PD-1/PD-L1 immune pathway and T lymphocyte infiltrates in a series of patients with castrate-resistant prostate adenocarcinoma., Patients and Methods: Expression of PD-1, PD-L1, CD3 and FOXP3 was identified in tissue microarrays, with five tissue spots per patient from 16 patients over at least 5 years of follow-up. Two scores were defined. The first described the percentage of PD-1-positive T lymphocytes (CD3+): negative (0), <5 %; low (1+), 5-30 %; high (2+), >30 %. The second described PD-L1 staining intensity: 0 (no signal), 1+ (light signal), 2+ (high signal) in >50 % of neoplastic cells., Results: Tumor-infiltrating T lymphocytes (CD3+) were seen in 11/16 cases (69 %). Nine of 16 cases expressed PD-1 (56 %), among which 19 % were scored 2+. Eight of 16 cases expressed PD-L1 (50 %), with 19 % scored as strong 2+. The subgroup with high PD1/PD-L1 also exhibited FOXP3 expression., Conclusions: Approximately 19 % of patients in our series showed simultaneous high PD-1/PD-L1 immunoscores, and were the best candidates for receiving targeted anti-PD-1/PD-L1 immunotherapy, as determined using a tissue based rationale.

Background and Objective: Prostate cancer is an endocrine-dependent tumor which is still under-investigated for physiopathology factors related to its natural history. The association of pretreatment total testosterone (TT) serum levels with prostate cancer is still a controversial topic. The objective of this study was to investigate potential associations and functional relationships of preoperative TT serum level and pathology-detected Gleason score (pGS)., Materials and Methods: Pretreatment and pathological variables of 220 patients operated with radical prostatectomy were retrospectively reviewed. Age, prostate-specific antigen (PSA), percentage of positive biopsy cores (P+), biopsy Gleason score (bGS), pGS, TT and free testosterone were the continuous variables, while clinical stage (cT: cT1c, cT2/3), biopsy Gleason pattern (bGP: ≤3+3, 3+4, >3+4), pathology Gleason pattern (pGP: ≤3+3, 3+4, >3+4), pathology stage (pT: pT2, pT3a, pT3b), pathology nodal staging (pN: pN0, pN1, pNx) and surgical margin invasion by cancer (R-, R+) were the categorical variables. Statistical methods were computed for assessing associations of TT and pGS; moreover, simple and multiple linear regression analysis (SLRA and MLRA) were used for assessing functional relationships of TT and pGS., Results: High-grade tumors (pGS ≥8.0) were associated with bGS >6.0 (p < 0.0001), pGP ≥3+4 (p < 0.0001), P+ >0.31% (p = 0.006), cT2/3 (p = 0.01), TT >15.5 nmol/l (p = 0.0004) and, to a lesser extent, PSA >6.27 μg/l (p = 0.06). The odds ratio (OR) ranked as follows: 2.01 (PSA >6.27 μg/l), 2.88 (cT2/3), 3.23 (P+ >0.31%), 5.53 (TT >15.5 nmol/l) and 12.09 (pGP ≥3+4 and pGS ≥8.0). On SLRA, pGS variation was significantly predicted by bGS (p < 0.0001), P+ (p < 0.0001), PSA (p = 0.0005) and TT (p = 0.02); on MLRA, pGS variation was still significantly predicted by bGS (p < 0.0001), P+ (p = 0.04), PSA (p = 0.03) and TT (p = 0.002). When bGS, P+, PSA and TT were dichotomized to their median value, only bGS (p < 0.0001) and TT (p = 0.001) showed independence in predicting pGS variation. The best model for predicting pGS variations was by dichotomizing TT above its median (>15.5 nmol/l) because the predictive coefficient increased to 0.32, which means that patients with TT >15.5 have a significantly higher estimated risk for high-grade pGS than patients with TT ≤15.5 nmol/l (OR = 1.31)., Conclusion: In a patient population undergoing radical prostatectomy, increased pretreatment serum measurements of TT are associated with and functionally related to high-grade pGS; moreover, baseline TT together with bGS and PSA are important factors for predicting pGS and assessing high-grade tumors. Baseline TT serum levels might have prognostic potential for assessing treatment response for continuous as well as intermittent androgen deprivation therapy., (2013 S. Karger AG, Basel.)

Objectives: To assess the accuracy of intra-rectal coil magnetic resonance imaging (ER-MRI) for staging early prostate cancer (EPC)., Materials and Methods: ER-MRI was performed with the Magnetom Symphony 1.5 Tesla system. ER-MRI and pathology findings were statistically correlated., Results: One hundred and fifty-four consecutive patients underwent radical prostatectomy (RRP) for EPC (cT1c-2 Nx M0). An average age was 66, mean PSA 11.04 µg/L (median 7.33 µg/L) and mean pathologic Gleason score 6. Pathology detected 97 out of 154 patients (63 %) as EPC and 57 cases (37 %) as extra-prostate extension (EPED) (pT3) with extra-capsular extension (ECE) (pT3a) in 41 (27 %) and seminal vesicle invasion (SVI) (pT3b) in 16 (10 %). ER-MRI staged 100 patients (65 %) as cT2 and 54 (35 %) as EPED with ECE in 37 cases (24 %) and SVI in 17 (11 %). ER-MRI sensitivity, specificity, positive predictive value, negative predictive value, overall accuracy resulted respectively 0.78, 0.96, 0.86, 0.92, 0.91 for ECE as well as 0.88, 0.98, 0.82, 0.99 and 0.97 for SVI., Conclusion: ER-MRI was effective in detecting preoperative EPC under-staging. In the next future, multi-parametric 3-Tesla ER-MRI will be the procedure for diagnosing, staging and following-up prostate cancer patients.

Objective: Although there is no standard treatment after docetaxel failure in patients with castration-resistant prostate cancer (CRPC), second-line chemotherapy is increasingly required. Its mechanism of action and toxicity profile make pemetrexed suitable for testing in this setting., Methods and Materials: Patients with docetaxel-resistant CRPC received pemetrexed 500 mg/m(2) every 3 weeks for 6 courses. The usual premedication with vitamin supplementation and dexamethasone prophylaxis was regularly administered. The primary objective was to quantify the biochemical response rate., Results: The biochemical response rate was 10.5% (95% CI 1.3-33.1), with 2 patients showing a reduction in prostate specific antigen (PSA) of ≥50%. The null hypothesis that the PSA response rate would be less than 20% was therefore accepted, and patient accrual was stopped after the evaluation of the 19th patient. The 1-year overall survival rate was 61.5%, with a median survival of 14 months. A considerable proportion of the patients (36%) were withdrawn from the study because of hematologic and nonhematologic toxicity., Conclusions: Our experience with pemetrexed in CRPC patients appears discouraging in terms of activity and toxicity. No further studies of this drug should be performed in CRPC patients., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Aim: To investigate the potential of preoperative serum total testosterone (TT) in contributing to the definition of separate prostatectomy Gleason score (pGS) groups of the prostate cancer (PCa) population., Materials and Methods: The data of 220 patients operated on for PCa were retrospectively reviewed. No patient had previously received 5α-reductase inhibitor, luteinizing hormone-releasing analogs or testosterone replacement treatment. The patient population was grouped according to the pGS as 6 = 3+3, 7 = 3+4, 7 = 4+3 and 8-10. Eight variables were simultaneously investigated in each group: prostate-specific antigen (PSA), TT, free testosterone, age, percentage of positive prostate biopsy cores (P+), biopsy Gleason score (bGS), overall cancer volume estimated as percentage of prostate volume (V+) and prostate weight (Wi). Univariate analysis of variance (ANOVA), multivariate analysis of variance (MANOVA) and multivariate discriminant analysis (MDA) were the statistical methods used for evaluating the data., Results: There were 89 patients in pGS 6 = 3+3, 84 in pGS 7 = 3+4, 24 in pGS 7 = 4+3 and 23 in pGS 8-10. ANOVA showed that bGS (p < 0.0001), P+ (p < 0.0001), V+ (p < 0.0001), PSA (p = 0.0001), Wi (p = 0.0002) and TT (p = 0.01) were significantly different in the four pGS groups. MANOVA tests showed that only bGS (p < 0.0001), V+ (p = 0.0003), TT (p = 0.001) and, to a lesser extent, PSA (p = 0.06) were the significant variables that individually and independently contributed a significant amount to separation of the four pGS groups of the PCa population. MDA showed that the independent variables ranked as bGS (p < 0.0001), TT (p = 0.001), V+ (p = 0.001) and PSA (p = 0.06)., Conclusions: Serum TT is a significant preoperative variable that independently contributes to separating the PCa population into pGS score groups. Pretreatment baseline serum TT levels should be measured and their inclusion in neural networks predicting PCa natural history be considered in the patient population diagnosed with PCa., (Copyright © 2013 S. Karger AG, Basel.)

Aim: A preceding exploratory analysis has shown that follicle-stimulating hormone (FSH) was significantly correlated to and predicted by prostate-specific antigen (PSA) in a prostate cancer population. The aim of the study was to evaluate FSH physiopathology along the pituitary-testicular-prostate (PTP) axis at the time of initial diagnosis of prostate cancer in an operated population clustered according to the FSH/PSA ratio., Patients and Methods: The study included 93 patients who underwent standard radical prostatectomy. Age, percentages of positive cores at transrectal ultrasound scan biopsy (TRUSB) (P+), biopsy Gleason score (bGS), pathology Gleason score (pGS), luteinizing hormone (LH), FSH, prolactin hormone (PRL), total testosterone (TT), free testosterone (FT), estradiol (ESR) and PSA were the continuous variables. Category variables were pT and biopsy/pathology Gleason pattern I/II (b/pGPI/II). The population was clustered according to the FSH/PSA ratio which was computed from empirical data and then ranked for clustering the population as groups A (range 0.13 ≤ FSH/PSA ≤ 0.20), B (range 0.20 < FSH/PSA ≤ 0.50), C (range 0.50 < FSH/PSA ≤ 0.75), D (range 0.75 < FSH/PSA ≤ 1.00), E (range 1.00 < FSH/PSA ≤ 1.25), F (range 1.25 < FSH/PSA ≤ 2.00), G (range 2.00 < FSH/PSA ≤ 2.25), H (range 2.25 < FSH/PSA ≤ 6.40) and I (range 6.40 < FSH/ PSA ≤ 19.40). The model was assessed by simple linear regression analysis and differences between the groups were investigated by analysis of variance (ANOVA) for continuous variables and by contingency tables for category variables., Results: FSH was significantly correlated to and predicted by PSA in groups A (p = 0.04), B (p < 0.0001), C (p < 0.0001), D (p < 0.0001), E (p < 0.0001), F (p < 0.0001), G (p < 0.0001), H (p = 0.0001) and I (p = 0.001). Also, clusters (A-I) differed significantly for mean values of FSH (p < 0.0001), LH (p < 0.0001), TT (p = 0.04), PSA (p < 0.0001), bGS (p = 0.005), pGS (p = 0.01) and PSA/FT ratio (p < 0.0001); moreover, the nine groups showed significant different frequency distributions of pGPI (p = 0.02), pGPII (p = 0.0002) and bGPI (p = 0.04)., Conclusion: The ranking FSH/PSA ratio significantly clustered, along the PTP axis, an operated population diagnosed with prostate cancer. Also, the ranking FSH/PSA ratio selected prostate cancer clusters expressing different levels of hormonal disorder along the PTP axis and prognostic potential with different risks of progression. As a theory, in the current advancing world, the ranking FSH/PSA model might be considered as an interesting and effective tool for prostate cancer study as well as individualized, risk-adapted approaches of the disease. However, confirmatory studies are needed., (Copyright © 2012 S. Karger AG, Basel.)

Aim: To investigate, along the pituitary- testis- prostate axis, the potential of preoperative serum TT in contributing to defining separate prostatectomy Gleason score (pGS) groups of the prostate cancer (PC) population., Materials and Methods: The data of 126 patients operated on for PC were retrospectively reviewed. No patient had previously received 5α-reductase inhibitor, luteinizing hormone (LH)-releasing hormone analogs or testosterone replacement treatment. The patient population was grouped according to the prostatectomy Gleason score (pGS) as 6=3+3, 7=3+4, 7=4+3 and 8-10. Twelve variables were simultaneously investigated in each group: age, prolactin (PRL), follicle stimulating hormone (FSH), LH, total testosterone (TT), free testosterone (FT), estradiol (Er), prostate specific antigen (PSA), percentage of prostate biopsy positive cores (P+), biopsy Gleason score (bGS), overall cancer volume estimated as percentage of prostate volume (V+) and prostate weight (Wi). Univariate analysis of variance (ANOVA), multivariate analysis of variance (MANOVA) and multivariate discriminant analysis were the statistical methods used for evaluating the data., Results: There were 38 patients in pGS 6=3+3, 57 in pGS 7=3+4, 15 in pGS 7=4+3 and 16 in pGS 8-10. ANOVA showed that bGS (p<0.0001), P+ (p<0.0001), V+ (p<0.0001), PSA (p=0.02), Wi (p=0.001) and TT (p=0.04) were significantly different in the four pGS groups. MANOVA tests showed that only bGS (p<0.0001) and TT (p=0.005) were the significant variables that individually and independently contributed a significant amount to separation of the four pGS groups of the PC population. Multivariate discriminant analysis confirmed that TT (p=0.005) and bGS (p<0.0001) were the only variables that independently and significantly contributed to separating the pGS groups., Conclusion: along the pituitary- testis- prostate axis, serum TT is a significant preoperative variable that independently contributes to separating the prostate cancer population into pGS score groups. Pretreatment baseline serum TT levels should be measured for their inclusion in nomograms and future neural networks to be considered in the patient population diagnosed with PC.

Aim: To evaluate estradiol (E(2)) physiopathology along the pituitary-testicular-prostate axis at the time of initial diagnosis of prostate cancer (PC) and subsequent cluster selection of the patient population., Patients and Methods: Records of the diagnosed (n=105) and operated (n=91) patients were retrospectively reviewed. Age, percentage of positive cores at-biopsy (P+), biopsy Gleason score (bGS), E(2), prolactin (PRL), luteinizing hormone (LH), follicle-stimulating hormone (FSH), total testosterone (TT), free-testosterone (FT), prostate-specific antigen (PSA), pathology Gleason score (pGS), estimated tumor volume in relation to percentage of prostate volume (V+), overall prostate weight (Wi), clinical stage (cT), biopsy Gleason pattern (bGP) and pathology stage (pT), were the investigated variables. None of the patients had previously undergone hormonal manipulations. E(2) correlation and prediction by multiple linear regression analysis (MLRA) was performed. At diagnosis, the log E(2)/log bGS ratio clustered the population into groups A (log E(2)/log bGS ≤ 2.25), B (2.25

Aim: To evaluate the prolactin hormone (PRL) physiopathology along the pituitary testicular prostate axis at the time of initial diagnosis of prostate cancer and the subsequent cluster selection of the patient population after radical prostatectomy in relation to clinical and pathological variables., Patients and Methods: Ninety-two operated prostate cancer patients were retrospectively reviewed. No patient had previously received hormonal treatment. The investigated variables included PRL, follicle stimulating hormone (FSH), luteinizing hormone (LH), total testosterone (TT), free testosterone (FT), total prostate specific antigen (PSA), percentage of positive cores at transrectal ultrasound scan biopsy (TRUSB) (P+), biopsy Gleason score (bGS), pathology Gleason score (pGS), estimated tumor volume in relation to percentage of prostate volume (V+), overall prostate weight (Wi) and age. Empirical PRL correlations and multiple linear predictions were investigated along the pituitary testis prostate axis in the different groups of the prostate cancer population and clustered according to pT (2a/b, 3a, 3b/4) status. The patient population was classified according to the log(10) PRL/V+ ratio and clustered as follows: group A (log(10) PRL/V+ ≤1.5), B (1.5< log(10)PRL/V+ ≤2.0) and C (log(10) PRL/V+ >2.0). Simple linear regression analysis of V+ predicting PRL was computed for assessing the clustered model and analysis of variance was performed for assessing significant differences between the groups., Results: PRL was independently predicted by FSH (p=0.01), LH (p=0.008) and P+ (p=0.06) in low-stage prostate cancer (pT2a/b). Interestingly, PRL was independently predicted by LH (p=0.03) and FSH, TT, FT, PSA, bGS, pGS, V+, Wi and age (all at p=0.01) in advanced stage-disease (pT3b/4). V+ was also significantly correlated (r=0.47) and predicted by P+ (p<0.0001) in the prostate cancer population. PRL was significantly correlated and predicted by V+ when the patient population was clustered according to the log(10)PRL/V+ ratio in group A (p=0.008), B (p<0.0001) and C (p<0.0001). Moreover, the three groups had significantly different mean values of PRL (p<0.0001), PSA (p=0.007), P+ (p=0.0001), V+ (p<0.0001), Wi (p=0.03), bGS (p=0.008), pGS (p=0.003); also, groups A, B and C had significant different pGS (p=0.03), pT (p=0.0008) and pR (p=0.01) frequency distributions., Conclusion: At diagnosis, in an operated prostate cancer population, PRL was significantly correlated and independently predicted along the pituitary testis prostate axis in high-stage disease; V+ was also significantly correlated and predicted by P+. Because of the high correlation and prediction of PRL by both V+ and P+, the prostate cancer population at diagnosis was clustered according to the log(10)PRL/V+ ratio into groups A, B and C that, in theory, might be models with prognostic potential and clinical applications in the prostate cancer population. However, confirmatory studies are needed.

Central nervous system (brain or leptomeningeal) metastases (BLm) are considered rare in castration-resistant prostate cancer (CRPC) patients. Now that docetaxel has become the reference drug for first-line treatment of CRPC, patients whose disease is not controlled by hormonal manipulations may live much longer than before and have higher risk of developing BLm. We retrospectively reviewed the records of all patients with CRPC attending our centres from 2002 to 2010, and identified all of those who were diagnosed as having BLm and received (or were considered to have been eligible to receive) docetaxel-based treatment. We identified 31 cases of BLm (22 brain metastases and 9 leptomeningeal metastases) with an incidence of 3.3%. BLm-free survival was 43.5 months, and survival after BLm discovery was 4 months. With six patients surviving for more than 1 year after developing BLm, the projected 1-year BL-S rate was 25.8%. The findings of our study may be relevant in clinical practice as they indicate that incidence of BLm in CRPC patients in the docetaxel era seems to be higher than in historical reports, meaning that special attention should be paid to the appearance of neurological symptoms in long-term CRPC survivors because they may be related to BLm.

Aim: To evaluate the physiopathology of follicle-stimulating hormone (FSH) along the pituitary-testicular-prostate axis at the time of initial diagnosis of prostate cancer in relation to the available clinical variables and to the subsequent cluster selection of the patient population., Patients and Methods: The study included 98 patients who were diagnosed with prostate cancer. Age, percentages of positive cores (P+) at transrectal ultrasound scan biopsy, biopsy Gleason score (bGS), luteinizing hormone (LH), FSH, total testosterone, free testosterone (FT) and prostate-specific antigen (PSA) were the continuous clinical variables. All patients had not previously received hormonal manipulations. FSH correlation and multiple linear analyses were computed in the population. The FSH/PSA ratio was computed and then ranked for clustering the population as groups A (0.13≤FSH/PSA≤0.57), B (0.57

Unlabelled: What's known on the subject? and What does the study add? Data on quality of life during docetaxel treatment in castration resistant prostate cancer was mainly provided by SWOG and TAX327 trials. In the TAX327 trial biochemical response and pain predicted survival, whereas quality of life outcomes did not. In the present study, there were no statistically significant changes in the quality of life scales during treatment except in the case of patients receiving docetaxel and estramustine, who experienced a significant decrease in pain. Our data seem to suggest that patients with a better baseline quality of life (and consequently with fewer symptoms) are more likely to achieve a biochemical response., Objectives: • To assess quality of life (QoL) outcomes and pain changes in patients affected by castration-resistant prostate cancer enrolled in a phase II randomized trial of 3-week docetaxel (DOC)-based chemotherapy. • To provide further data to clarify the conflicting published data concerning the impact of DOC on the patients' QoL., Patients and Methods: • QoL outcomes were assessed using the European Organisation for the Research and Treatment of Cancer QLQ-C30 questionnaire. • Pain changes were evaluated by means of the Brief Pain Inventory at baseline and after every two DOC courses. • The patients completing at least two questionnaires (at baseline and before the third course) were considered evaluable., Results: • In all, 59 patients were evaluable. • Asymptomatic patients and responders had a better baseline QoL than symptomatic patients and non-responders. • There were no statistically significant changes in the QLQ-C30 scales during treatment except in the case of patients receiving DOC and estramustine, who experienced a significant decrease in pain. • There was a progressive improvement in the mean intensity and interference scores of the Brief Pain Inventory., Conclusions: • Our data confirm that QoL is generally maintained during chemotherapy. • There is a substantial reduction in pain. • Our results also suggest that baseline QoL may predict treatment response., (© 2011 THE AUTHORS. BJU INTERNATIONAL © 2011 BJU INTERNATIONAL.)

Aim: To evaluate prolactin (PRL) physiopathology along the pituitary-testis-prostate axis at the time of initial diagnosis of prostate cancer in relation to the available clinical variables and to the subsequent cluster selection of the patient population., Patients and Methods: The study involved 100 individuals diagnosed with prostate cancer. Age, percentage of positive cores at transrectal ultrasound scan biopsy (P+), biopsy Gleason score (BGS), PRL, luteinizing hormone (LH), follicle stimulating hormone (FSH), total testosterone (TT), free testosterone (FT) and prostate-specific antigen (PSA) were the continuous clinical variables. All patients had histologically proven carcinoma of the prostate and had not previously received hormonal manipulations. Correlation and multiple linear regression analysis of the the variables along the pituitary-testis-prostate cancer axis was performed. The prostate cancer population was clustered according to the PRL/P+ ratio into group A (4.20≤PRL/P+ ≤20), B (20

Aim: To evaluate Luteinizing hormone (LH) physiopathology along the pituitary testicular prostate axis at the time of initial diagnosis of prostate cancer in relation to the available clinical variables and to the subsequent cluster selection of the patient population., Patients and Methods: Age, percentages of positive cores at Trans Rectal Ultrasound Scan Biopsy (TRUSB) (P+), biopsy Gleason score (bGS), LH, Total Testosterone (TT), Free Testosterone (FT) and Prostate Specific Antigen (PSA) were the continuous clinical variables. All patients had histologically proven carcinoma of the prostate and had not previously received 5α-reductase inhibitors, LH-releasing hormone analogues or testosterone replacement treatment. Correlation analysis was performed for the patient population. Correlation analysis, linear regression and analysis of variance was computed in groups and subgroups of the prostate cancer population., Results: Correlation analysis of the patient population showed that LH was significantly correlated to age (p=0.02) and FT (p=0.01). The population was clustered in LH I (LH≤7.5 IU/l) and LH II (LH>7.5 IU/l). Correlation analysis showed significant LH correlations for TT (p<0.0001) and FT (p=0.0004) for LH I; significant LH correlation to FT (p=0.0001) for LH II. Simple linear regression showed that LH was significantly predicted by both TT (p-Value<0.0001) and FT (p-Value=0.0004) in LH I; but only FT (p-Value<0.0001) in LH II. Multiple linear regression showed that LH was significantly predicted by both TT (p-Value=0.0004) and PSA (p-Value=0.03) in LH I; but only by FT (p-Value=0.003) in LH II. Analysis of variance showed that: a) LH and age were significantly lower in LH I than II; b) LH I expressed higher mean FT levels (p=0.08) and lower mean P+ (p=0.07) than LH II. The LH versus PSA plot was computed for LH group I and 3 sub clusters were created: LH I group A (LH/PSA≤0.25), B (0.250.75). Correlation analysis showed that LH was significantly correlated to age (p=0.01), TT (p=0.03) and PSA (p=0.0004) in LH IA; LH was significantly correlated to PSA (p<0.0001) in LH IB; and LH significantly correlated to TT (p=0.005), FT (p=0.01), and PSA (p=0.008) in LH 1C. Multiple linear regression showed that LH was significantly correlated to age (p=0.02) and PSA (p=0.01) in LH IA, to TT (p=0.01) and PSA (p<0.0001) in LH IB, and to PSA (p=0.003) and weakly to TT (p=0.09) in LH IC. The groups differed significantly for mean levels of LH (p=0.0004), TT (p=0.005), FT (p=0.01), PSA (p<0.0001), bGS (p=0.003). Analysis of variance between the subgroups of the patient population (LH IA, LH IB, LH IC, LH II) showed significant differences in mean levels for LH (p<0.0001), age (p=0.004), TT (p=0.009), FT (p=0.02), PSA (p<0.0001), PSA/FT (p<0.0001), bGS (p=0.01), but not for P+ (p=0.10)., Conclusion: According to LH physiopathology, the prostate cancer population could be clustered into hypo-gonadic and non-hypo-gonadic group at diagnosis. The hypo-gonadic group expresses an aggressive tumor phenotype and might be divided into two more different significant subsets including primary and secondary hypo-gonadic patients: the former (LH II) including older patients with high LH levels, the latter (LH IA) including younger patients with low LH and LH/PSA levels (subgroup LH IA). The non-hypo-gonadic group showed a less aggressive tumor phenotype and according to the LH/PSA ratio might beclustered into LH IB (0.250.75), the former showing a more aggressive tumor phenotype than the latter. Confirmatory studies are necessary.

Objectives: To explore, in operated prostate cancer patients, functional relationships of total testosterone (tt) predicting free testosterone (ft) and total PSA., Patients and Methods: 128 operated prostate cancer patients were simultaneously investigated for tt, ft and PSA before surgery. Patients were not receiving 5α-reductase inhibitors, LH-releasing hormone analogues and testosterone replacement treatment. Scatter plots including ft and PSA versus tt were computed in order to assess the functional relationship of the variables. Linear regression analysis of tt predicting ft and PSA was computed., Results: tt was a significant predictor of the response variable (ft) and different subsets of the patient population were assessed according to the ft to tt ratio. PSA was related to tt according to a nonlinear law. tt was a significant predictor of PSA according to an inversely nonlinear law and different significant clusters of the patient population were assessed according to the different constant of proportionality computed from experimental data., Conclusions: In our prostate cancer population, ft was significantly predicted by tt according to a linear law, and the ft/tt ratio was a significant parameter for assessing the different clusters. Also, tt was a significant variable predicting PSA by a nonlinear law and different clusters of the patient population were assessed by the different constants of proportionality. As a theory, we explain the nonlinear relation of tt in predicting PSA as follows: (a) the number of androgen-independent prostate cancer cells increases as tumor volume and PSA serum levels rise, (b) the prevalence of androgen-independent cells producing a substance which inhibits serum LH, and (c) as a result lower levels of serum tt are detected., (Copyright © 2011 S. Karger AG, Basel.)

Objectives: To show that prostate cancer biology is related to serum levels of both free testosterone (FT) and prostate-specific antigen (PSA), that PSA level is linearly related to FT and that the PSA to FT ratio may be considered as the growth rate parameter expressing cancer phenotype biology., Materials and Methods: The study includes 135 consecutive patients diagnosed with prostate cancer. Pretreatment simultaneous serum samples for analyzing total testosterone (TT), FT and total PSA levels were obtained. The study was assessed according to a multidimensional approach of the five continuous variables including TT, FT, PSA, AGE and percentage of positive biopsies (=P+). The all sets of data were considered as one--sample with no groupings among the observations. Multivariate analysis included factor analysis (FA) and principal component analysis (PCA). Multivariate inferential statistics for comparing different groups of patients according to the PSA to free testosterone ratio (PSA/FT) included Hotteling's multivariate two-sample T²-Test for comparing two mean vectors as well as Box's M-Test with the chi-square approximation for comparing multiple covariance matrices when patients were sampled in more than two groups., Results: Factor analysis showed the two natural grouping of variables, FT-TT and PSA-P+. PCA assessed FT and PSA as the two variables with large variances having a notable influence on the first two principal components. Multiple linear regression analysis showed that all the income variables, except age, significantly predicted the PSA/FT ratio. Patients were first sampled according to the PSA/FT ratio in group 1 (PSA/FT ≤ 0.20) and group 2 (PSA/FT > 0.20), and Hotteling's multivariate two sample T²-Test was significant (P < 0.01). Patients were then sampled according to the PSA/FT ratio in group 1 (PSA/FT ≤ 0.20), group 2 (PSA/FT > 0.20 and ≤ 0.40), and group 3 (PSA/FT > 0.40), and Box's M-Test comparing the covariance matrices of the 3 groups differed significantly (P < 0.001). Finally, patients were sampled according to the PSA/FT ratio in 6 groups, and Box's M-Test was again significant (P < 0.001)., Conclusions: The PSA to FT ratio is the growing rate parameter expressing different biology patterns and assessing different groups of prostate cancer patients. In our opinion, the results of the present study might have wide applications in understanding, assessing and planning prostate cancer studies including basic science, screening, assessing risk of the disease, predicting disease stage as well natural history after a planned treatment involving biochemical recurrence, progression, hormone refractory prostate cancer and disease-specific survival.

Objective: Although docetaxel (DOC) plus prednisone is currently the treatment of choice for hormone-refractory prostate cancer (HRPC), no standard therapy is available for those patients who progress during DOC treatment. The aim of this study was to evaluate whether the addition of estramustine (E) can overcome DOC resistance., Methods: Patients who had not responded to DOC in a previous randomised phase II trial received a one-hour intravenous infusion of DOC 70 mg/m(2) on day 2 in combination with oral E 840 mg/day divided into three daily administrations on days 1-5. The primary endpoint was a >50% decrease in PSA; the secondary endpoints were biochemical progression-free survival, overall survival, the objective response rate, and toxicity., Results: A biochemical response was observed in 52% of the 25 patients evaluable for response. The only grade 4 event was a cerebral stroke that occurred a few days after the administration of the first treatment course. Treatment discontinuation due to worsened compliance was observed in the patients who received a higher cumulative number of courses., Conclusions: Our findings suggest that the addition of E may be useful in selected HRPC patients resistant to DOC alone., (Copyright 2010 Elsevier Inc. All rights reserved.)

Objectives: Prostate cancer is an interesting tumor for endocrine investigation. The prostate-specific antigen/free testosterone (PSA/FT) ratio has been shown to be effective in clustering patients in prognostic groups as follows: low risk (PSA/FT ≤0.20), intermediate risk (PSA/FT >0.20 and ≤0.40) and high risk (PSA/FT >0.40 and ≤1.5). In the present study we explored the total PSA and FT distributions, and linear regression of FT predicting PSA in the different groups (PSA/FT, pT and pG) and subgroups (pT and pG) of patients according to the prognostic PSA/FT ratio., Patients and Methods: The study included 128 operated prostate cancer patients. Pretreatment simultaneous serum samples were obtained for measuring free testosterone (FT) and total PSA levels. Patients were grouped according to the total PSA/FT ratio prognostic clusters (≤0.20, >0.20 and ≤0.40, >0.40), pT (2, 3a and 3b+4) and pathological Gleason score (pG) (≤6, = 7 >3 + 4, ≥7 >4 + 3). The pT and pG sets were subgrouped according to the prognostic PSA/FT ratio. Linear regression analysis of FT predicting total PSA was computed according to the different PSA/FT prognostic clusters for the: (1) total sample population, (2) pT and pG groups, (3) intraprostatic (pT2) and extraprostatic disease (pT3a/3b/4), and (4) low-intermediate grade (pG ≤6) and high-grade (pG ≥7) prostate cancer., Results: Analysis of variance always showed highly significant different PSA distributions for (1) the different PSA/FT, pT and pG groups; and (2) the pT and pG prognostic subgroups. Significant FT distributions were detected for the (1) PSA/FT and pT groups; and (2) the pT2, pT3a and pG ≤6 prognostic PSA/FT subgroups. Correlation, variance and linear regression analysis of FT predicting total PSA was significant for (1) the PSA/FT prognostic clusters, (2) all the pT2 and pT3a subgroups, and (3) the pT3b/4 subgroup with PSA/FT >0.20 and ≤0.40, and (4) all the pG subsets. Linear regression analysis showed that the slopes of the predicting variable (FT) were always highly significant for patients with (1) intraprostate and extraprostate disease, and (2) low-grade and high-grade prostate cancer., Conclusions: According to the prognostic PSA/FT ratio, significantly lower levels of FT are detected in prostate cancer patients with extensive and high-grade disease. Also, significant linear correlations of FT predicting PSA are assessed in the different groups and subgroups of patients clustered according to the prognostic PSA/FT ratio. Confirmatory studies are needed., (Copyright © 2010 S. Karger AG, Basel.)

Objectives: To explore the significance of the pretreatment total prostate-specific antigen (PSA) to free testosterone (FT) ratio (PSA/FT) as a marker for assessing the pathologic Gleason sum (pGS) and levels of tumor extension (pT) in prostatectomy specimens., Patients and Methods: 128 of 135 consecutive patients diagnosed with prostate cancer underwent radical prostatectomy. Simultaneous pretreatment serum samples were obtained to measure serum total testosterone, FT and total PSA levels. The statistical design of the study included 2 sections: the first part trying to explore the role of the PSA/FT ratio in clustering patients with different pathologic prognostic factors, and the second to investigate the PSA/FT ratio distribution in different groups of patients according to the pathologic stage and pGS of the specimen after radical prostatectomy., Results: The average age was 65.80 (range 51.21-77.26) years, mean PSA was 8.88 (range 1.22-44.27) μg/l, mean FT was 35.32 (range 13.70-69.30) pmol/l, and the mean PSA/FT ratio was 0.27 (range 0.04-1.48). The PSA/FT ratio significantly clustered both the pT and pGS groups. Analysis of variance for the distribution of the PSA/FT ratio was significant for the pT model groups. The mean PSA/FT ratio increased as the tumor extended and grew through the prostate gland (high-stage disease). Analysis of variance for the different distributions of the PSA/FT ratio was significant for all model pGS groups. In our investigation we also found (data not shown) that a PSA/FT ratio of ≥0.40 was strongly correlated with large extensive (pT3b+pT4) and high-grade cancers (pGS8+pGS9)., Conclusions: Prostate cancer patients may be classified into 3 different pathologic prognostic groups according to the PSA/FT ratio: low risk (PSA/FT ≤0.20), intermediate risk (PSA/FT >0.20 and ≤0.40), and high risk (PSA/FT >0.40 and ≤1.5). The PSA/FT ratio may be considered as the marker expressing different biology groups of prostate cancer patients, and it is strongly associated with pT and pGS., (Copyright © 2010 S. Karger AG, Basel.)

Objective: To report the results of a randomized phase II trial of docetaxel with and without estramustine phosphate (EP) in patients with hormone-refractory prostate cancer (HRPC)., Patients and Methods: Patients with progressive HRPC were randomized to receive docetaxel 70 mg/m(2) on day 1 (arm A), or docetaxel 70 mg/m(2) on day 2 plus oral EP three times daily, at a total daily dose of 840 mg, on days 1-5 (arm B). The primary objective of the trial was to evaluate the activity of the treatments in terms of the response in prostate-specific antigen (PSA) level., Results: Forty-five of the 49 patients centrally randomized to arm A and 44 of the 46 in arm B were evaluable for activity. The PSA level decreased by > or =50% in 40% of the patients in arm A and in 75% of those in arm B. The median time to PSA progression was 20 weeks in arm A and 30 weeks in arm B. The patients in arm B had an improvement in pain over time., Conclusion: These data support the existence of a possible advantage in combining docetaxel and EP, which should be verified in a specific randomized phase III study.

Hormone-refractory prostate cancer (HRPC) is a major issue in Western countries and the second leading cause of cancer death in North American men. In the prostate-specific antigen era, most HRPCs are currently diagnosed in asymptomatic patients based on biochemical failure, with increasing demand for active treatment. Until recently, chemotherapy for HRPC patients was not considered a standard of care due to the absence of clear data evidencing an overall survival benefit. In fact, few Phase III studies conducted in the 1980s and early 1990s had documented a superiority over corticosteroids alone in terms of biochemical response (declines in serum prostate-specific antigen levels) and quality of life, but not survival. Due to their impact on pain control, mitoxantrone and prednisone were long considered the best regimen for symptomatic HRPC patients. In recent years, more chemotherapeutic agents have been tested, among which the microtubule inhibitors (vinca alkaloids and taxanes) have obtained the most promising results in Phase II trials and have entered Phase III testing. Two well-designed randomized trials have changed this scenario. Both compared docetaxel (with or without estramustine) against mitoxantrone and prednisone, and demonstrated a significant advantage not only in terms of response, pain control and quality of life, but also in terms of overall survival. Which patients need to be treated, the regimen of choice and duration of chemotherapy will be the next questions to be answered in the coming years in the field of HRPC, along with the role of new signal transduction inhibitors and other targeted therapies.