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Introduction

The incidence of prostate cancer (PCa) has been steadily rising over the last decades. For example, The Polish National Cancer Registry has recorded a 28-fold increase in newly diagnosed Prostate Cancer patients, from 582 in 1963, through 2273 in 1990, up to 16253 newly diagnosed PCa patients in the year 2017.1,2 The change is directly associated with broad implementation of prostate-specific antigen (PSA) testing and aging society, but from a clinician’s point of view, it means ever more patients to take care of. Despite changing patterns of PCa management, radical prostatectomy (RP) remains one of the pivotal treatment modalities in localized prostate cancer management, and so remains the necessity for management of post-prostatectomy treatment failures which occur in approximately 1/4th of the patients, including up to 1/2nd of those presenting high and very high risk group features.3

Historically, the necessity for further treatment was most commonly met by adjuvant radiotherapy (aRT), whose rationale was based on three large randomized clinical trials – SWOG S87944, EORTC 229115, and ARO 96–02/AUO AP 09/95.6 Although consistent in conclusions, these studies compared aRT with an outdated concept of salvage radiotherapy (sRT). The salvage treatment in the wait-and-see groups was initiated significantly later than currently accepted standards, at the median PSA of 1.0 and 1.7 μg/ml for SWOG and EORTC studies respectively. Shortly after, authors started publishing reports on the superiority of early sRT initiation, which was later discussed along with the results of the ARO/AUO trial. Currently, the adverse association between PSA level prior to sRT and treatment results is well documented7, and the introduction of salvage treatment even prior to reaching the criteria for biochemical recurrence (i.e. > 0.4 ng/ml as in European Association of Urology [EAU] guidelines8) is encouraged.

The shift of the paradigm came with the recent results of TROG 08.03/ANZUP RAVES9, RADICALS-RT10, and GETUG-AFU 1711, three large multicentre prospective randomized clinical trials comparing aRT with sRT initiated at very low levels of PSA, prior to the usual threshold of > 0.4 ng/ml for biochemical recurrence (BCR). The results were in favor of early sRT, and indicated that routine use of aRT leads to overtreatment of PCa patients. Although the studies were met with critique, the consistent results of the planned systemic review and meta-analysis published by the ARTISTIC collaboration12 suggest that for now, at least until data on long-term outcomes is available, sRT should be offered to all patients that are able and willing to adhere to the early sRT routine.

In this article, we present data from a large one-institutional set of consecutive PCa patients treated during the transitional period between aRT and sRT, and a thorough analysis of the prognostic factors.

Patients and methods

The retrospective observational cohort study included a group of 236 consecutive prostate cancer patients at median age of 63.6 years (min. 40, max. 82), who underwent RP between 1993 and 2013, and were later irradiated with aRT or sRT at single tertiary high-volume institution between 2009 and 2014 to the prostatic bed (as defined by the local protocol, similar to TROG 0803 RAVES trial13) with a median dose of 70 Gy (62–76 Gy) in 2 Gy fractions 5 times a week, using IGRT in all cases. Pelvic lymph node irradiation was performed in 26% of the patients using a standard dose of 44 Gy in 22 fractions. The androgen deprivation therapy (ADT) was administered in 37.6% of the patients prior to RT. Approximately 25.8% of the patients were receiving ADT at 4 months, 21.2% at 14 months, 18.2% at 26 months, 14.8% at 38 months and 11.4% at 50 months after treatment respectively. The ADT was administered at primary doctors’ discretion. The follow up (FU) was collected retrospectively, based on our institutional database. In patients with FU < 36 months a phone call was attempted twice to obtain information regarding current PSA, ADT uptake, late side effects of RT, and permission to access the patients’ medical history wherever further control visits took place. Data regarding overall survival (OS) was obtained from the Polish National Cancer Registry.

The study group was divided into four subgroups depending on the treatment indication including positive surgical margins (R1) and ≥ pT3 characteristic (pT3) for aRT, and BCR and local failure (LF) for sRT. In the case of dual treatment indications (i.e. R1 + pT3 or BCR + LF) patients were assigned to pT3 and LF groups respectively. In few cases where patients qualified for aRT due to pT3 characteristic have had barely detectable PSA level (> 0.2 ng/ml) in a post-qualification repeated PSA test immediately before RT, such patients were still regarded as part of the aRT group. The measured endpoints for the study were OS, disease-free survival (DFS), and biochemical control (BC). The OS, DFS and BC were calculated from the last day of RT to the day of death for OS, clinical recurrence defined as the locoregional failure, distant metastasis or both for DFS, and biochemical recurrence defined as PSA > 0.2 ng/ml for BC. Remaining cases were censored using the date of last observation with appropriate data to exclude the occurrence of the respective endpoint.

Univariable analysis & recursive partitioning analysis

The univariate analysis was performed by fitting the proportional subdistribution hazards regression model, thus including the competing risk of death from other causes. Subdistribution hazard ratios (HR) were provided with their 95% confidence intervals (95% CI). To maintain consistency and generalizability, every univariate model was adjusted to the time length between surgery and radiation treatment (as a covariate). All factors tested in univariate analysis were included in the multivariate analysis which was also adjusted to the time between surgery and RT.

As an addition to multivariate analysis, to find the subgroups of different survival risks and select the most important clinical features, recursive partitioning for censored responses was performed. This utilized the development of a survival tree for DFS based on adjusted log-rank statistics (ctree algorithm).

Nomogram development

To develop the predictive model utilizing the current PSA and ADT status cause-specific Cox proportional hazards regression model with time-varying covariates was developed. The current PSA value was simplified to a binary variable based on the definition of post-RP BCR.14 Internal validation of the model and, thus, assessment of overfitting was performed using the bootstrap method with 1000 repetitions. The model performance was assessed using Harrell’s C-index, with a value of 1.0 indicating perfect model concordance. The developed model was visualized using a nomogram and was implemented in the online calculator. The whole analysis was done using R programming language.

Results

T he median age of the patients at the onset of RT was 63.6 years (interquartile range [IQR] 59.8–68.4), median FU was 62.3 months (IQR 38.1–79) and 10.2% of the patients were found to be deceased at the time of data collection. The 5-year DFS and BC were 86.9% and 70% respectively. A detailed description of the patients’ characteristics is presented in Table 1.

Description of the study group

Whole groupaRTsRT
Number of cases236113123
Age*63.6 (59.8-68.4)62.3 (58.8-65.9)65.2 (60.5-70.2)
Time from surgery to RT (months)*6 (3.3-25.8)3.6 (2.9-4.8)24.1 (7.3-48.3)
Indicationn/aR11 56pT32 57BCR3 69LF4 54
Positive surgical margins61.5%100%77.2%39.1%27.8%
Max PSA pre-op* (ng/ml)9.16 (6.81-14.6)8.24 (6.33-11.78)9.37 (7.19-14.79)10.67 (7.3-17)8.8 (6.6-13.3)
Max PSA post-op*5 (ng/ml)0.27 (0.04-1.13)0.035 (<0.008-0.071)0.027 (<0.008-0.104)0.72 (0.38-1.92)1.19 (0.45 – 2.89)
PSA before RT* (ng/ml)0.2 (0.023-0.78)0.015 (<0.008-0.055)0.017 (<0.008-0.077)0.56 (0.29-1.07)1.05 (0.35-2.38)
Gleason Grade Group (post-op):
142.2%47.3%26.3%39.7%57.7%
233.6%38.2%40.4%32.3%23.1%
313.4%9.1%15.8%16.2%11.5%
45.6%1.8%7%7.4%5.8%
55.2%3.6%10.5%4.4%1.9%
TNM (post-op):
pT2a-c61.6%100%0%63.6%84.3%
pT3a17.5%0%50.9%12.1%7.8%
pT3b21%0%49.1%24.2%7.8%
pN15.8%1.8%16.4%1.5%4%
ADT prior to RT37.6%16.4%43.9%42.6%46.3%
RT dose^70 / 71.570 / 70.370 / 70.270 / 71.476 / 74.4
Lymph node irradiation25.8%15%47.8%12.7%23.1%

* = median (interquartile range); ^ = median/mean Gy; ADT = androgen deprivation therapy; BCR3 = biochemical recurrence; LF4 = local failure; pT32 = pT3a or pT3b; R11 = R1 resection; RT = radiotherapy; 1-4 = in case of multiple indications only one is indicated. The assumed priority is: LF>BCR>pT3>R1

The uni- and multivariate (MVA) Cox Regression for the DFS found that among max PSA prior to operation, max PSA post operation and PSA immediately prior to RT, only the last one was a significant covariate and remained an independent adverse factor for the risk of clinical recurrence in the MVA (HR 2.17; 1.04–4.55; p = 0.04). The pT3 characteristic was associated with significantly increased risk of developing clinical recurrence or progression in the MVA (HR 4.29; 1.8–10.25; p = 0.001) as well as local failure as a treatment indication (HR 2.39; 1.11–5.15; p = 0.026). The PSA Nadir and Gleason Grade Group were both associated with an increased risk of DFS failure in the univariate analysis, but were no longer significant in the MVA. The PSA Nadir, however, was associated with significantly increased risk of BCR in the MVA (HR 1.37; 1.28–1.46; p = 0.001) The HR’s for the remaining covariates and results for BC can be found in Table 2.

Univariate and multivariate analysis

Univariate analysisMultivariate analysis
DFSBCDFSBC
Covariate:HR (95% CI)p-valueHR (95% CI)p-valueHR (95% CI)p-valueHR (95% CI)p-value
Age0.99 (0.94, 1.04)0.591.03 (0.99, 1.08)0.140.97 (0.92, 1.02)0.191.02 (0.98, 1.07)0.34
max PSA prior to operation1.03 (0.97, 1.08)0.351.03 (1, 1.07)0.0781.04 (0.97, 1.11)0.251.05 (1.02, 1.08)0.001
max PSA post operation1 (0.96, 1.05)0.911.04 (1.02, 1.05)<.0010.53 (0.28, 1.01)0.0521 (0.99, 1.02)0.65
PSA before radiotherapy1.24 (1.12, 1.37)<.0011.26 (1.17, 1.35)<.0012.17 (1.04, 4.55)0.041.19 (1.03, 1.38)0.017
ADT prior to RT1.42 (0.74, 2.74)0.291.06 (0.64, 1.75)0.821.39 (0.69, 2.77)0.350.82 (0.5, 1.35)0.43
pT3a-b vs. pT2a-c2.57 (1.29, 5.1)0.0071.35 (0.83, 2.19)0.234.29 (1.8, 10.25)0.0011.89 (1.02, 3.5)0.044
pN0 vs pN10.58 (0.16, 2.13)0.420.94 (0.3, 2.99)0.920.82 (0.31, 2.19)0.690.98 (0.56, 1.72)0.95
aRT indication - R10.6 (0.27, 1.31)0.20.36 (0.2, 0.64)<.0010.81 (0.19, 3.52)0.780.21 (0.09, 0.52)0.001
aRT indication - pT3a-b1.45 (0.69, 3.04)0.330.86 (0.48, 1.55)0.620.72 (0.18, 2.89)0.641.04 (0.43, 2.53)0.93
sRT indication - biochemical failure1.31 (0.64, 2.68)0.462.02 (1.17, 3.49)0.0111.95 (0.41, 9.27)0.41.12 (0.52, 2.41)0.77
sRT indication - local failure2.03 (1.06, 3.89)0.0332.36 (1.45, 3.84)0.0012.39 (1.11, 5.15)0.0261.48 (0.77, 2.83)0.24
R1 operation (regardless of RT indication)1.2 (0.61, 2.35)0.590.82 (0.5, 1.32)0.411.52 (0.59, 3.92)0.382.17 (1.23, 3.84)0.007
PSA nadir (per 1ng/ml)1.34 (1.2, 1.5)<.0011.29 (1.19, 1.39)<.0011.16 (0.93, 1.46)0.191.37 (1.28, 1.46)<.001
Gleason Grade Group1.4 (1.09, 1.8)0.0091.15 (0.96, 1.38)0.121.28 (0.95, 1.73)0.11.13 (0.93, 1.38)0.23

ADT = androgen deprivation therapy; aRT = adjuvant RT; RT = radiotherapy; sRT = salvage RT

The probability of treatment failure differed between treatment indication. The differences were especially pronounced for BC, and the log-rank testing resulted in a high level of statistical significance (Figure 1). The trend, however, was different for DFS (Figure 2). The difference in Kaplan-Meier curves between aRT due to pT3 characteristic and sRT due to BCR was very well pronounced in terms of BC, but these two curves are similar for DFS.

Figure 1

Bio chemical control depending on treatment indication.

Figure 2

Disease-free survival (DFS) depending on treatment indication.

The recursive partitioning analysis for DFS provided the decision tree presented in Figure 3. Out of all included clinical variables the final algorithm highlighted the importance of PSA before RT, postoperative GG, PSA nadir as well as a local failure as an indication for sRT creating 5 risk groups based on DFS. If the initial PSA level before RT exceeded 2.5 ng/ml, this group was associated with the highest risk of relapse or progression. Postoperative GG was the second most important divider, with the score of GG 3 or lower separating the remaining patients into two further groups. The patients with GG of 4 or 5 were further divided by the value of PSA nadir. If the PSA ever reached values of ≤ 0.01 during Follow Up, the risk of DFS failure was lower. Finally, in patients with GG of 3 or lower, the patients treated with sRT due to LF had a significantly higher risk of relapse or progression.

Figure 3

Recursive partitioning analysis for disease-free survival (DFS).

GGG = Gleason grade group; sRT = salvage RT; RT = radiotherapy

Finally, the nomogram utilizing time-varying Cox regression model was developed and can be found in Figure 4. The c-index for this model was 0.81 (95%CI: 0.73–0.89) which did not drop (i.e. remained 0.81) in a bootstrap-based validation, thus suggesting resilience to overfitting. This model was employed to create an online application, which visualises the impact of changing prognostic factors on the probability of clinical relapse or recurrence. The application is available online at https://apps.konsta.com.pl/app/prostate-salvage-dfs/.

Figure 4

Nomogram for disease-free survival (DFS).

ADT = androgen deprivation therapy; GGG = Gleason grade group; RT = radiotherapy

Discussion

There are many different available nomograms on the subject of prostate cancer treatment, the majority of those addressing the issue of risk stratification after primary radical prostatectomy, but the risk stratification in post-prostatectomy irradiation is significantly more difficult considering the heterogeneity of the patients and the recent changes in treatment recommendations. In this analysis, besides the commonly assessed pre-treatment variables comparable to those provided by the EAU for the post-RP distant metastasis recurrence15, we included ADT uptake and PSA levels as variables changing over time. Such approach allows for visualisation of changes in patients’ prognosis over the course of the follow up, however, on the expense of reduced clinical importance of nomogram for initial risk evaluation.

There is evidence16 suggesting that distant metastases are a better intermediate clinical endpoint compared to BC. However, the use of distant metastasis as an endpoint in our article was limited due to the median length of FU (approximately 5 years). The BCR on average precedes clinical metastasis by 7 to 8 years17, and the actual risk of distant metastasis is underestimated. Therefore, we decided to use DFS and BC as surrogate endpoints, the latter universally preceding metastatic progression.8 Due to limited data, we have also omitted more thorough analysis of the ADT type and duration before RT, as in many cases the precise date of ADT onset was not available. A common flaw of retrospective studies on post-RT PCa patients is the lack of differentiation between aRT and sRT subpopulations. For example, a recent analysis by Hwang et al. in 201818 concluded that aRT reduces BCR and improves metastasis-free survival and OS in high-risk patients. The study was met with criticism regarding omitting patients who were cured by surgery alone. To account for such, we included the treatment indication as a co-factor in the statistical analysis and nomogram. Moreover, such criticism is advised in the interpretation of Kaplan-Meier curves presented in this article (Figure 12).

Tendulkar et al.7 published an excellent study which analyses the importance of pre-RT PSA levels and provides a nomogram for risk stratification of BCR and metastases-free survival in patients undergoing sRT. The analysis included a large study group (n = 2460) of node-negative patients with a detectable PSA post-RP. Notably, the nomogram includes one of the independent prognostic factors presented in our article, the pre-RT PSA level, as a continuous variable. Such approach allows for a conceptualization of the importance of early sRT initiation in case of post-RP BCR.

In another study, Dalela et al.19 created a prognostic nomogram including clinical features and Decipher® (GenomeDx Biosciences, Inc., Vancouver, British Columbia) score for the identification of optimal candidates for aRT. Although the clinical importance of such a nomogram is limited in the sRT era, the study highlights the applicability of novel, genomic markers for the patients’ risk stratification. Moreover, some authors suggest that a subset of patients presenting multiple and severe adverse prognostic factors, such as pT3b/pT4 feature and high Gleason Score which were also highlighted in this article, could profit from aRT despite the late findings.10,11,12,20

One of the important aspects of changing clinical practice is the introduction of new diagnostic methods. In this study, the majority of the DFS failures were diagnosed through medical imaging performed due to rising PSA (24, 63.2%), which was either fluorodeoxyglucose positron emission tomography (FDG-PET) (10 cases), prostate specific membrane antigen PET (PSMA-PET) (7 cases), bone scintigraphy (3 cases), computer tomography (CT) (2 cases) or magnetic resonance imaging (MRI) (2 cases). In 10 cases (26.3%), at the time of BCR, the localization of the recurrence could not be determined, and clinical recurrence was found later in routine imaging: MRI (5 cases), CT (2 cases), FDG-PET (1 case), PSMA-PET (1 case), or RTG (1 case). Finally, 4 patients had clinical progression diagnosed before BCR, through bone scintigraphy (1 case), CT (1 case), MRI (1 case), or physical examination (1 case). The majority of these diagnostic tools could be replaced with broader usage of PSMA-PET in the future, as it seems to have superior sensitivity and specificity.21 The EAU guidelines8 suggest considering PSMA- PET in patients with persistent or recurrent PSA (> 0.2 ng/ml) after RP. However, due to low evidence strength, accessibility, and relatively high cost compared to standard diagnostic methods, the implementation of routine PET-PSMA imaging is limited. Set aside logistic and economic factors, routine PET-PSMA could reduce the occurrence of treatment failures in the future through early diagnosis of occult distant metastasis and early implementation of modern techniques of localized treatment for oligometastatic disease. For example, despite limited prospective evidence, stereotactic RT has shown potential for long-term disease control in such patients based on our institutional experience.22,23

The TROG 08.03/ANZUP RAVES9, RADICALS-RT10, and GETUG-AFU 1711 have recently shown that sRT approach is preferable to aRT for post-RP patients. However, the question remains whether it is possible to reproduce the clinical trial setting in practice. For example, In the RADICALS-RT trial10, the median PSA value at the onset of sRT was 0.2 ng/ml (0.1–0.3), significantly lower than in our study group - 0.68 ng/ml (IQR 0.31–1.78). Considering that the PSA value before RT is an important prognostic factor7, which has been shown in our analysis, we can expect that the treatment outcomes of the second group of patients would be significantly worse. According to the pre-sRT PSA nomogram by Tendulkar et al.7, only 12 (9.8%) patients had PSA < 0.2ng/ml before RT, 38 (30.9%) PSA 0.21–0.5ng/ml, 29 (23.5%) PSA 0.51–1 ng/ml, 17 (13.8%) PSA 1.1–2 ng/ml, and finally 25 (20.4%) PSA > 2. In 2 cases (1.6%), the PSA pre-sRT value was missing. Increased frequency of PSA monitoring and early initiation of sRT could improve the treatment outcomes, however, it is often limited by patients’ resources and compliance. Therefore, we believe that in patients with limited possibility of close follow-up and significant adverse prognostic factors, offering aRT could reduce the probability of a clinical recurrence.

We acknowledge the limitations and biases of a retrospective study. The study was based on single-institution data and limited follow-up, which could be further improved by the inclusion of other sites and registry-based collection of data, which we will try to accomplish in the future.

eISSN:
1581-3207
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Medicine, Clinical Medicine, Internal Medicine, Haematology, Oncology, Radiology