This study aimed to investigate if combined analysis of pro‐Neuropeptide Y (NPY) and ERG expression in tumor tissue are associated with biochemical failure (BF), castration‐based treatment, castration‐resistant prostate cancer (CRPC), and prostate cancer (PCa)‐specific death for men undergoing radical prostatectomy (RP) for PCa. This study included 315 patients, who underwent RP from 2002 to 2005. Both pro‐NPY and ERG expression were analyzed using immunohistochemistry and were scored as low or high and negative or positive, respectively. Risk of BF, castration‐based treatment, CRPC, and PCa‐specific death were analyzed with multiple cause‐specific Cox regression analyses and stratified cumulative incidences using competing risk assessment. Median follow‐up was 13.0 years (95% CI: 12.7–13.2). In total, 85.7% were pro‐NPY high and 14.3% were pro‐NPY low. The combined analyses of pro‐NPY and ERG expression was not associated with risk of BF (p = 0.7), castration‐based treatment (p = 0.8), CRPC (p = 0.4) or PCa‐specific death (p = 0.5). In the multiple cause‐specific Cox regression analysis, pro‐NPY high and ERG positivity was not associated with BF (HR: 1.02; 95% CI 0.6–1.7; p = 0.94). In conclusion the combination of pro‐NPY and ERG expression did not show association with risk of BF, castration‐based treatment, CRPC, and PCa‐specific death following RP.
prostate cancer; predictive biomarkers; pro‐NPY; ERG; radical prostatectomy
Prostate cancer (PCa) has a distinct tumor biology ranging from an indolent to an aggressive course [
Gene fusions are known to be important in the initial steps of PCa tumorigenesis, and approximately 50% of men with PCa carry the gene fusion of TMPRSS2 and ERG leading to ERG protein expression. Several studies have indicated distinct molecular mechanisms in ERG negative vs ERG positive tumors, and ERG expression in combination with other biomarkers might be a good predictor for PCa aggressiveness [
Whether pro‐NPY alone or in combination with ERG could be applied as a prognostic biomarker for PCa‐related outcomes following radical prostatectomy (RP) is to the best of our knowledge not known. The aim of the present study was to analyze if a combined analysis of pro‐NPY and ERG expression in tumor tissue together with standard clinicopathological variables has predictive value in terms of risk of biochemical failure (BF), castration‐based treatment, castration‐resistant prostate cancer (CRPC), and PCa‐specific death for men undergoing RP.
The study included a consecutive series of men (n = 336), with clinically localized PCa who underwent RP with curative intent from January 1
Clinical and pathological information was collected from medical records. Data included preoperative information and pathological findings following RP as previously described in detail [
Freshly cut 2.5 μm sections of each TMA block were used for immunohistochemistry (IHC) staining for pro‐NPY (1:200 dilution; anti‐pro‐NPY (HPA044572) rabbit polyclonal antibody, Atlas Antibodies) and ERG (anti‐ERG (EPR3864) rabbit monoclonal primary antibody, Roche Ventana). Positive controls for pro‐NPY and ERG staining consisted of sections of brain tissue and colon, liver, and tonsil tissue, respectively. Moreover, nerve bundles and endothelial cells were used as internal controls for pro‐NPY and ERG staining, respectively. Separate HE‐stained TMA sections were validated with regard to the presence of cancer in each core by two expert uropathologists (BGT + JE).
All stained slides were digitalized using the Hamamatsu Nano Zoomer XR at a magnification equivalent to 20x. The images were evaluated using the Hamamatsu NDP.view v2.6.13 viewing software. After agreement of the scoring of pro‐NPY and ERG with an expert uropathologist (BGT), whole‐field inspection of pro‐NPY and ERG immunoreactivity for each core on the TMA was assessed by one observer (GK). Four patients had no malignant tissue available for analyses due to progressive slicing and were excluded (Fig. A).
For each patient, cytoplasmatic pro‐NPY immunoreactivity in malignant prostate epithelial cells was evaluated and scored for the strongest immunoreactivity present and categorized as negative, weak, moderate, or strong (Fig. B). Nuclear ERG immunoreactivity in malignant prostate epithelial cells was evaluated and scored as negative if all cores were negative, and positive if any of the cores showed positive immunoreactivity (Fig. C). Assessment of the IHC staining was blinded to study end points.
Associations between pro‐NPY expression and clinicopathological variables were analyzed using χ
Cumulative incidences of study end‐points were analyzed using the Aalen–Johansen method for competing risks. Death before BF, start of castration‐based treatment, or CRPC was treated as competing events when analyzing risk of BF, castration‐based treatment, and CRPC, respectively. Moreover, other cause mortality was treated as a competing event when analyzing risk of PCa‐specific death. Gray's test was used to assess differences in the cumulative incidences between biomarker subgroups [
Univariate and multivariate cause‐specific Cox proportional hazard regression models were performed for risk of BF, castration‐based treatment, CRPC, and PCa‐specific death, with results presented as hazard ratios (HR) and 95% confidence intervals (CI). The analyses included age at RP, log2‐transformed PSA, pathological tumor (pT)‐stage, N‐stage, RP GS, margin status, ERG, and pro‐NPY expression.
All tests were two‐sided and p < 0.05 was considered to be statistically significant. All statistical analyses were performed using SPSS (software version 22; IBM) or R (R Development Core Team, Vienna, Austria).
A total of 315 patients had malignant tissue available for analysis of pro‐NPY and ERG expression (Table ). The median number of malignant cores was 6 (Inter quartile range [IQR]: 5–8) per patient. The median PSA was 10.0 μg/L (IQR: 6.8–15.0). A total of 64.4% had pT2 PCa, and 35.6% had pT3 PCa. Most patients (91.1%) had RP GS ≤ 7 (Table ). The median time of PSA follow‐up after RP was 11.6 years (95% CI: 11.1–12.2), while the median time of follow‐up regarding castration‐based treatment, CRPC, and PCa‐specific death was 13.0 years (95% CI: 12.7–13.2).
Baseline characteristic
Study population n = 315 pro‐NPY low n = 45 pro‐NPY high n = 270 p‐value Age at baseline, years, median (IQR) 62.8 (59.3–66.5) 61.5 (59.4–65.6) 63.0 (59.3–66.6) 0.34 Neoadjuvant treatment 1.0 No 308 (97.8%) 44 (97.8%) 264 (97.8%) Yes 7 (2.2%) 1 (2.2%) 6 (2.2%) PSA, μg/L, median (IQR) 10.0 (6.8–15.0) 10.0 (7.3–18.0) 10.0 (6.8–14.0) 0.26 Clinical T‐stage 0.31 cT1 159 (50.5%) 18 (40.0%) 141 (52.2%) cT2a/b/c 149 (47.3%) 26 (57.8%) 123 (45.6%) cT3a/b 7 (2.2%) 1 (2.2%) 6 (2.2%) Biopsy Gleason score 0.05 ≤6 215 (76.5%) 25 (65.8%) 190 (78.2%) 3 + 4 47 (16.7%) 8 (21.1%) 39 (16.0%) 4 + 3 5 (1.8%) 0 (0%) 5 (2.1%) 8–10 14 (5.0%) 5 (13.2%) 9 (3.7%) Missing 34 7 27 Biopsies 0.22 <6 7 (2.3%) 1 (2.3%) 6 (2.3%) 6–9 249 (81.6%) 31 (72.1%) 218 (83.2%) 10–12 32 (10.5%) 6 (14.0%) 26 (9.9%) >12 17 (5.6%) 5 (11.6%) 12 (4.6%) PPB, %, median (IQR) 33.3 (16.7–50.0) 33.3 (16.7–50.0) 33.3 (16.7–50.0) 0.2 Radical prostatectomy Gleason score <0.0001 ≤6 124 (39.4%) 11 (24.4%) 113 (41.9%) 3 + 4 112 (35.6%) 11 (24.4%) 101 (37.4%) 4 + 3 51 (16.2%) 11 (24.4%) 40 (14.8%) 8–10 28 (8.9%) 12 (26.7%) 16 (5.9%) Pathological T‐stage 0.18 pT2a/b/c 203 (64.4%) 25 (55.6%) 178 (65.9%) pT3a/b 112 (35.6%) 20 (44.4%) 92 (34.1%) N‐stage 0.6 N0/x 309 (98.1%) 45 (100%) 264 (97.8%) N1 6 (1.9%) 0 (0%) 6 (2.2%) Tumor volume, ml, median (IQR) 12.8 (8.6–21.0) 11.6 (7.8–22.0) 12.8 (10.6–20.25) 0.67 Margin status 0.82 R− 131 (41.6%) 18 (40%) 113 (41.9%) R+ 184 (58.4%) 27 (60%) 157 (58.1%) ERG <0.0001 Negative 120 (38.1%) 43 (95.6%) 77 (28.5%) Positive 195 (61.9%) 2 (4.4%) 193 (71.5%)
1 IQR, interquartile range; PPB, percent positive biopsies; PSA, prostate‐specific antigen. *Mann–Whitney U test, **Fisher's exact test, ***Chi‐square test.
IHC analyses of malignant tissue revealed that 270 patients (85.7%) had strong or intermediate pro‐NPY immunoreactivity (pro‐NPY high) while 45 patients (14.3%) had weak or negative pro‐NPY immunoreactivity (pro‐NPY low). Furthermore, 195 (62.7%) were ERG positive and 116 (37.3%) were ERG negative (Table ).We found a significant association between pro‐NPY expression and RP GS (p < 0.0001), and ERG expression (p < 0.0001). There was no statistically significant relation between pro‐NPY expression and the other clinicopathological variables (Table ).
The 10‐year cumulative incidence of BF was 48.7% (95% CI: 33.7–63.7) in the pro‐NPY low group compared to 44.1% (95% CI: 37.9–50.4) in the pro‐NPY high group (p = 0.48) (Fig. A). High pro‐NPY expression was not found associated with BF in either the univariate or the multivariate cause‐specific Cox regression analyses. No association between ERG expression and time to BF (p = 0.95) was found (Fig. B).
Addition of ERG expression did not add any predictive value in terms of predicting BF. The 10‐year cumulative incidence for BF was 48.6% (95% CI: 33.2–64.0) in the ERG negative and pro‐NPY low group compared to 41.8% (95% CI: 34.6–49.0) in the ERG positive and pro‐NPY high group (p = 0.7) (Fig. C). In the univariate and multivariate cause‐specific Cox regression analyses the combination of ERG positivity and pro‐NPY high expression was not found associated with BF (Table ). Stratification on pT‐stage (pT2 vs pT3) and RP GS (<6 vs 3 + 4, vs >4 + 3) did not change the predictive value of ERG and pro‐NPY expression (data not shown). Furthermore, none of the combinations of ERG and pro‐NPY expression was found associated with a risk of BF.
Uni‐ and multivariate cause‐specific Cox proportional hazard of biochemical failure
Univariate analysis Multivariate analysis HR (95% CI) p‐value HR (95% CI) p‐value Biomarker ERG neg. & pro‐NPY low REF REF ERG neg. & pro‐NPY high/ERG pos. & pro‐NPY low 0.72 (0.42–1.25) 0.24 0.87 (0.49–1.55) 0.63 ERG pos. & pro‐NPY high 0.78 (0.48–1.25) 0.3 1.02 (0.62–1.69) 0.94 Age at RP For 5‐year differences 1.07 (0.91–1.25) 0.4 0.91 (0.77–1.08) 0.28 PSA For 2‐fold differences 1.51 (1.28–1.79) <0.0001 1.29 (1.07–1.55) 0.007 Pathological T‐stage pT2a/b/c REF REF pT3a/b 3.27 (2.35–4.56) <0.0001 2.03 (1.4–2.95) 0.0002 N‐stage N0/x REF REF N1 2.71 (1–7.32) 0.05 1.42 (0.5–4.02) 0.51 RP Gleason score ≤6 REF REF 3 + 4 2.86 (1.85–4.42) <0.0001 1.94 (1.23–3.08) 0.005 4 + 3 4.08 (2.5–6.65) <0.0001 2.98 (1.77–5.03) <0.0001 8–10 5.12 (2.9–9.02) <0.0001 2.87 (1.52–5.4) 0.001 Margin status R− REF REF R+ 2.4 (1.67–3.44) <0.0001 1.54 (1.03–2.3) 0.04
2 CI, Confidence interval; HR, hazard ratio; PSA, prostate‐specific antigen; REF, reference; RP, radical prostatectomy.
Overall, the 10‐year cumulative incidences of castration‐based treatment, CRPC, and PCa‐specific death were 10.7%, 6.4%, and 3.0%, respectively. No association between pro‐NPY expression and time to start of castration‐based treatment (p = 0.65), CRPC (p = 0.25), and PCa‐specific death (p = 0.31) was found.
The 10‐year cumulative incidence of PCa‐specific death was 10.5% (95% CI: 0.8–20.3) in the ERG negative and pro‐NPY low group compared to 2.2% (95% CI: 0.1–4.3) in the ERG positive and pro‐NPY high group (p = 0.53) (Fig. F). The combination of ERG positivity and high pro‐NPY expression was not found associated with PCa‐specific death (HR: 0.5; 95% CI: 0.2–1.4; p = 0.18). Furthermore, we did not find a difference in time to start of castration‐based treatment or risk of CRPC between any of the biomarker subgroups (Tables and , Fig. D,E). Moreover, none of the combinations of ERG and pro‐NPY immunoreactivity was found associated with a risk of castration‐based treatment, CRPC, or PCa‐specific death.
Univariate cause‐specific Cox proportional hazard of castration‐based treatment
Univariate analysis HR (95% CI) p‐value Biomarker ERG neg & pro‐NPY low REF ERG neg & pro‐NPY high/ERG pos & pro‐NPY low 0.71 (0.27–1.82) 0.47 ERG pos & pro‐NPY high 0.69 (0.3–1.59) 0.39 Age at RP For 5‐year differences 1.25 (0.93–1.67) 0.14 PSA For 2‐fold differences 1.29 (0.96–1.73) 0.09 Pathological T‐stage pT2a/b/c REF pT3a/b 4.02 (2.18–7.43) <0.0001 N‐stage N0/x REF N1 9.67 (3.44–27.2) <0.0001 RP Gleason score ≤6 REF 3 + 4 7.92 (2.34–26.76) 0.0009 4 + 3 15.39 (4.44–53.27) <0.0001 8–10 19.22 (5.08–72.69) <0.0001 Margin status R− REF R+ 1.81 (0.96–3.4) 0.07
3 CI, Confidence interval; HR, hazard ratio; PSA, prostate‐specific antigen; REF, reference; RP, radical prostatectomy.
Univariate cause‐specific Cox proportional hazard of castration‐resistant prostate cancer
Univariate analysis HR (95% CI) p‐value Biomarker ERG neg & pro‐NPY low REF ERG neg & pro‐NPY high/ERG pos & pro‐NPY low 0.44 (0.14–1.35) 0.15 ERG pos & pro‐NPY high 0.51 (0.2–1.29) 0.16 Age at RP For 5‐year differences 1.14 (0.8–1.62) 0.47 PSA For 2‐fold differences 1.29 (0.89–1.85) 0.18 Pathological T‐stage pT2a/b/c REF pT3a/b 5.93 (2.64–13.36) <0.0001 N‐stage N0/x REF N1 8.45 (2.54–28.15) 0.0005 RP Gleason score ≤6 REF 3 + 4 5.48 (1.18–25.39) 0.03 4 + 3 20.57 (4.66–90.91) <0.0001 8–10 17.29 (3.34–89.44) 0.0006 Margin status R− REF R+ 2.25 (1–5.05) 0.05
4 CI, Confidence interval; HR, hazard ratio; PSA, prostate‐specific antigen; REF, reference; RP, radical prostatectomy.
Neuropeptide Y is known to be important in cardiovascular regulation, control of food intake, and regulatory activities of the neuroendocrine axis [
To the best of our knowledge, the present study is the largest and most comprehensive analysis of pro‐NPY as a predictive biomarker for BF, clinically progression, and PCa‐specific death following RP. We examined whether pro‐NPY expression was associated with other known predictive parameters and found an association with RP GS and ERG expression, respectively. However, pro‐NPY alone and in combination with ERG expression was not predictive for BF, castration‐based treatment, CRPC, or PCa‐specific death. Nonetheless, we found that the 10‐year incidence of PCa specific death was increased by 4.8‐fold in the ERG negative and pro‐NPY low group when compared with the ERG positive and pro‐NPY high group, even though it was not statistically significant. Therefore, it must be speculated if the study is underpowered to show a real difference.
In a previous study, we demonstrated that 32–40% of the patients in two historical watchful waiting cohorts including a total of 752 patients had a high pro‐NPY expression [
Several studies have previously shown an association between ERG expression and PCa‐specific death for patients followed on watchful waiting [
Nonetheless, it can be speculated that some biomarkers have prognostic value in patients managed by conservative treatment while the same biomarker has no or only limited predictive value following curative intended treatment. Therefore, it must be hypothesized if pro‐NPY in combination with ERG expression could have a prognostic role in men followed on active surveillance. Furthermore, as pro‐NPY is associated with regulatory activities of the neuroendocrine axis, one could speculate that pro‐NPY holds predictive value for patients with neuroendocrine tumors in the prostate.
Despite research and the unmet clinical need, there are currently no IHC‐based predictive tissue biomarkers in daily clinical practice. One plausible reason is the missing consensus of validation and standardization of the IHC technique and selection of antibodies. Furthermore, quantitative of IHC‐stained sections can be difficult and is known to be associated with interobserver variation, which limits reproducibility [
There are some limitations to the present study, besides those related to its retrospective nature. First, the negative findings may partly be the result of a selected patient cohort with predominantly low‐grade PCa with low risk of progression; however, these patients are comparable to most contemporary RP cohorts. Second, we used ERG immunoreactivity as a proxy for ERG gene fusion status, but previous studies have shown that this is consistent with true ERG rearrangement status in PCa [
In conclusion, pro‐NPY expression is frequent in PCa. We found no association between combined pro‐NPY and ERG expression and the risk of BF, castration‐based treatment, CRPC, or PCa‐specific death. Our findings suggest that pro‐NPY alone or in combination with ERG expression does not hold potential as a biomarker of progression following RP.
PHOTO (COLOR): (A) Flow chart. (B) IHC pro‐NPY staining in representative prostate cancer samples showing negative, weak, moderate, and strong immunoreactivity (IR). (C) IHC ERG staining in representative prostate cancer samples showing negative and positive staining.
PHOTO (COLOR): The cumulative incidence of (A–C) biochemical failure (BF), (D) castration‐based treatment, (E) castration‐resistant prostate cancer (CRPC), and (F) prostate cancer (PCa)‐specific death following radical prostatatectomy (RP). Comepeting event are (A–C) death without BF, (D) death without castration, (E) death without CRPC, and (F) death from other causes. Patients are stratified according to (A) pro‐NPY expression, (B) ERG expression, and (C–F) ERG & pro‐NPY expression at RP. The p values for Gray's test are added.
By Gitte Kristensen; Martin Andreas Røder; Kasper Drimer Berg; Johanna Elversang; Diego Iglesias‐Gato; José Moreira; Birgitte Grønkær Toft and Klaus Brasso