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Article

Real-World Management of High-Risk Prostate Cancer Post-Radical Prostatectomy: Insights from a Regional Quality Collaborative

by
Aaron R. Hochberg
1,
Annie H. Ho
1,
Rasheed A. M. Thompson
1,2,
Matthew B. Buck
1,
Costas D. Lallas
1,
Christine Ibilibor
3,
Jeffrey J. Tomaszewski
4,
Serge Ginzburg
5,
Andres Correa
6,
Robert Uzzo
6,
Marc C. Smaldone
6,
John F. Danella
7,
Thomas J. Guzzo
8,
Daniel J. Lee
8,
Laurence Belkoff
9,
Jeffrey Walker
9,
Jay D. Raman
10,
Roderick K. Clark
10,
Adam Reese
11,
Bruce Jacobs
12,
Thomas Jang
13,
Keith J. Kowalczyk
14,
Meghan Smith
15 and
Mihir S. Shah
1,*
add Show full author list remove Hide full author list
1
Department of Urology, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA 19107, USA
2
Department of Urology, Howard University College of Medicine, Washington, DC 20059, USA
3
Department of Urology, University of Virginia, Charlottesville, VA 22904, USA
4
Division of Urology, Cooper University Health Care, Camden, NJ 08103, USA
5
Department of Urology, Einstein Healthcare Network, Philadelphia, PA 19141, USA
6
Division of Urologic Oncology, Fox Chase Cancer Center, Philadelphia, PA 19111, USA
7
Department of Urology, Geisinger Health System, Danville, PA 17822, USA
8
Division of Urology, University of Pennsylvania, Philadelphia, PA 19104, USA
9
Division of Urology, MidLantic Urology, Main Line Health, Bala Cynwyd, PA 19010, USA
10
Department of Urology, Penn State Health, Hershey, PA 17033, USA
11
Department of Urology, Temple University, Philadelphia, PA 19122, USA
12
Department of Urology, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
13
Division of Urology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08901, USA
14
Department of Urology, MedStar Health Georgetown, Washington, DC 20007, USA
15
Health Care Improvement Foundation, Philadelphia, PA 19103, USA
*
Author to whom correspondence should be addressed.
Cancers 2025, 17(10), 1600; https://doi.org/10.3390/cancers17101600
Submission received: 19 March 2025 / Revised: 21 April 2025 / Accepted: 22 April 2025 / Published: 8 May 2025

Simple Summary

Recent high-quality evidence has shown that patients with certain high-risk features who undergo radical prostatectomy for cancer can safely defer subsequent radiation therapy until detectable rises in prostate-specific antigen (PSA) are found. However, questions remain regarding specific PSA criteria for initiating radiation therapy, and whether these findings can be applied to patients who are found to have lymph node metastases at the time of surgery. The aim of our retrospective study was to investigate real-world management patterns for these patients and identify factors that may influence choice of treatment pathway. The findings of this study can help to better determine who will most benefit from immediate versus deferred radiation therapy.

Abstract

Background/Objectives: Data from clinical trials showing the non-inferiority of early salvage radiotherapy were recently incorporated into societal guideline statements. However, questions remain regarding ideal prostate-specific antigen (PSA) criteria for salvage, and how to apply these findings to pathologic lymph node-positive (pN+) disease. We investigated variance in management of clinically localized prostate cancer found to have high-risk features after radical prostatectomy. Methods: We retrospectively identified patients from May 2015 to January 2024 utilizing a multi-institutional, regional collaborative database. The primary outcome was identifying factors associated with the receipt of adjuvant versus salvage therapy. Factors associated with secondary treatment were assessed via multivariable logistic regression. Results: In total, 230 (38%) patients received adjuvant and 375 (62%) received salvage therapy. Rates of adjuvant versus salvage therapy differed by practice setting (p < 0.001). A higher percentage of patients received salvage (38.9%) over adjuvant (13.5%) therapy in or after 2020 (p < 0.001). In our model, patients with preoperative PSA ≥ 10 ng/mL (OR: 2.15, CI: 1.31–3.53) and treatment in or after 2020 (OR: 3.41, CI: 1.75–6.66) had higher odds, while patients with persistent detectable postoperative PSA ≥ 0.1 ng/mL had lower odds (OR: 0.39, CI: 0.20–0.74) of undergoing salvage therapy. Among pN+ patients, 51% received adjuvant and 49% received salvage therapy. Conclusions: The management of high-risk prostate cancer remains varied. In our regional cohort, rates of salvage versus adjuvant therapy increased after publication of level-one evidence. Further work is warranted to better delineate who will most benefit from adjuvant versus early salvage therapy.

1. Introduction

Prostate cancer (CaP) remains the most diagnosed malignancy in men, and the incidence of high-grade disease at diagnosis is increasing [1,2]. High-risk features on final pathology after radical prostatectomy (RP), such as grade group (GG) 4 or 5 disease, positive surgical margins (PSM), and high tumor stage (T3b or higher) are associated with increased risk of recurrence, progression to metastatic disease, and mortality [3,4]. For high-risk patients, prior practice has included the use of planned adjuvant radiotherapy (RT). Recent landmark clinical trials [5,6,7] and prospectively planned meta-analyses [8] have shown patients with high-risk features who undergo radical prostatectomy and subsequently undergo early salvage RT after biochemical recurrence (BCR) have non-inferior oncologic outcomes, compared to those treated with planned adjuvant RT after RP. These level-one data have been incorporated into guidelines, with the American Urological Association (AUA) now strongly recommending against routinely recommending adjuvant RT after RP to mitigate harms associated with planned RT [9]. At this time, the European Association of Urology (EAU) still recommends adjuvant RT for these patients [10].
Nonetheless, ambiguity remains regarding the ideal prostate specific antigen (PSA) level to trigger early salvage RT in high-risk patients. Clinical trials contributing to guideline statements have utilized various PSA cutoff values. RAVES specified a PSA threshold of 0.2 ng/mL [5], GETUG-AFU 17 required 0.2 ng/mL and rising [6], while RADICALS-RT used a value of PSA >0.1 ng/mL obtained after two consecutive rising values or simply three consecutive rising values [7]. Currently, the AUA provide a conditional recommendation that providers may offer salvage RT for PSA < 0.2 ng/mL in this population, but specify they should provide salvage RT for PSA ≤ 0.5 ng/mL [11]. The EAU recommend starting salvage RT after two consecutive PSA increases rather than waiting to achieve a specific threshold [12].
Lymph node-positive disease discovered at the time of RP (pN+) in the absence of clinical nodal involvement is another high-risk feature which may warrant early RT. Previous work has shown that higher numbers of disease positive lymph nodes are associated with higher rates of disease recurrence [13,14]. However, retrospective evidence has shown a significant proportion of these patients remain alive without recurrence for 10 years post-RP, in the absence of secondary treatment [15]. Heterogeneity among pN+ patients may contribute to a lack of strong societal recommendations regarding treatment options for these patients, as current AUA and EAU guidelines remain equivocal [9,12].
Considering updated guidelines in the absence of clear PSA triggers, we sought to investigate real-world management patterns for patients with clinically localized CaP found to have high-risk features or positive lymph nodes after RP. We hypothesized that utilization of early salvage RT would increase after publication of the aforementioned landmark trials, but that overall management patterns would remain varied and driven by both patient-specific and institutional factors.

2. Materials and Methods

2.1. Study Cohort

Data from the Pennsylvania Urologic Regional Collaborative/Urologic Surgeons Comparing Outcomes Pursuing Excellence (PURC) database were utilized. The PURC database is a prospectively maintained quality improvement collaborative comprising 14 urology practices, including 169 urologists, in the Mid-Atlantic region. Practices in the PURC include private, community, and academic institutions that cover a wide range of communities, including urban and rural settings. Each participating practice site has obtained approval from their respective institutional review board, and informed consent was waived as the research involved no more than minimal risk to participants. Patients with nonmetastatic, clinically N0 adenocarcinoma of the prostate with at least one specified high-risk feature were included. High-risk features were pathologic stage T3 or T4 (pT3-4), Gleason score 7–10, PSM, preoperative PSA level ≥ 10 ng/mL, or pN+ disease identified at RP. Patients included underwent primary treatment with RP followed by secondary therapy between May 2015 (the first year of data abstraction into PURC) to January 2024 (most recent data available at the time of analysis). This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines [16].

2.2. Study Outcomes

The primary outcome was to assess patient and institution-specific factors associated with the timing of secondary radiotherapy (adjuvant vs. salvage) for those with CaP with high-risk features. Secondary treatment is captured categorically as RT, androgen deprivation therapy (ADT), or chemotherapy, and entered discretely as either adjuvant or salvage therapy within the PURC database. Demographic variables included age, race, ethnicity, insurance, marital status, family history of CaP, and comorbidities. Clinicopathological variables of interest included year of RP, year of initiating secondary therapy, pathological T stage (pT), pathologic lymph node positivity (pN), Gleason score, margin positivity, pre- and postoperative PSA, pre-secondary treatment PSA (defined as PSA immediately prior to receiving secondary therapy), days from RP to receipt of secondary therapy, and secondary treatment type.

2.3. Statistical Analysis

Demographic and clinicopathological data were reported as frequencies and percentages or medians with interquartile range (IQR). Categorical and continuous variables were evaluated using Pearson’s chi-square tests and Student’s t-tests, respectively. Multivariable logistic regression was used to determine the association between study variables and the timing of secondary therapy (adjuvant vs. salvage) while controlling for potential confounders, including secondary treatment type, with results reported in terms of odds ratio (OR) and 95% confidence interval (CI). All analyses were conducted using Stata version 18.0 (StataCorp LLC, College Station, TX, USA) with statistical significance set at p value < 0.05.

3. Results

From the PURC dataset, 605 patients met the inclusion criteria between May 2015 and June 2024. Of those, 230 (38.0%) received adjuvant therapy and 375 (62.0%) received salvage therapy. When comparing the groups’ demographics (Table 1), patients who received adjuvant therapy were associated with private insurance (35.2% vs. 20.8%; p < 0.001) or Medicare/Medicaid (28.7% vs. 22.1%; p < 0.001). The majority of patients were treated at either facility A (30.2%) or facility C (37.2%). Those at facility A more commonly received adjuvant therapy (47.0% vs. 20.0%; p < 0.001), while those at facility C less frequently received adjuvant therapy (11.3% vs. 53.1%; p < 0.001). No significant differences were observed between the two groups in any other demographic characteristics.
Summarizing the high-risk features of the study cohort (Table 2): 17.5% had pN+ disease, 74.2% had pT3-4, 95.5% had a Gleason score of 7 or higher, 55.0% had a positive surgical margin, and 40.7% had a preoperative PSA level ≥ 10 ng/mL. The overall median initial post-RP PSA was 0.09 ng/mL (IQR: 0.09–0.40 ng/mL). Between the adjuvant and salvage groups, there was no significant difference in preoperative PSA (p = 0.46) or postoperative PSA immediately following RP (p = 0.45). However, patients with a postoperative PSA ≥ 0.1 ng/mL were associated with receiving adjuvant therapy (57.4% vs. 43.5%; p < 0.001). The adjuvant group also had a lower PSA level prior to starting secondary treatment (0.24 ng/mL vs. 0.27 ng/mL; p = 0.02). A significantly higher percentage of patients received salvage therapy (38.9%) compared to adjuvant therapy (13.5%) in or after 2020 (p < 0.001). An increase in salvage therapy is also seen after 2020 when stratified by each year (Figure 1).
Multivariable regression analysis was conducted to evaluate factors associated with the receipt of adjuvant versus salvage therapy (Table 3). Factors associated with higher odds of receiving salvage therapy included preoperative PSA ≥ 10 ng/mL (OR: 2.15, CI: 1.31–3.53), treatment in or after 2020 (OR: 3.41, CI: 1.75–6.66), and secondary treatment with RT (OR: 2.75, CI: 1.52–5.00). Patients at facility C also had a higher odds of receiving salvage therapy (OR: 5.26, CI: 1.73–15.93). Patients with a persistent postoperative PSA ≥ 0.1 ng/mL had lower odds of receiving salvage therapy (OR: 0.39, CI: 0.20–0.74).
Evaluating the 375 patients who received salvage therapy (Table 4), the median days from RP to starting salvage therapy was 350 days (IQR: 185–658 days). The majority of patients (91.5%) received salvage therapy after rising PSA values. Most patients (70.3%) also had a PSA ≥ 0.2 ng/mL prior to initiating salvage therapy. Further investigation of the salvage group was conducted by comparing those who initiated salvage therapy prior to 2020 (61.1%) versus those who started salvage in or after 2020 (38.9%). Between the two groups, the median days from RP to starting salvage therapy increased after 2020 (488 days vs. 281 days; p < 0.001). Additionally, there was an increase in patients who started salvage therapy with a rising versus static PSA (95.2% vs. 89.1%; p = 0.04).
Among the 106 patients with pN+ disease identified at RP (Table 5), 50.9% received adjuvant therapy and 49.1% received salvage therapy. The median days from RP to adjuvant therapy was 102 days, while the median days from RP to salvage therapy was 150 days (p < 0.001). Of the pN+ disease patients that received adjuvant therapy, 69.0% had a pre-secondary treatment PSA ≥ 0.2 ng/mL; while 78.7% of pN+ disease patients that received salvage therapy had both pre-secondary treatment PSA ≥ 0.2 ng/mL and rising PSA values (p < 0.001).

4. Discussion

In our study, we leveraged the use of a multi-institutional cohort to examine the utilization of adjuvant versus salvage therapy in high-risk prostate cancer patients post-radical prostatectomy. We confirmed our hypothesis that use of early salvage therapy would increase after landmark clinical trial publication. This is significant when taken in the greater context that the majority of patients in our cohort underwent surveillance with early salvage therapy, even prior to landmark trial publication and subsequent guideline amendments. The explicit reasoning behind clinical decision making in this cohort is unattainable from the PURC database. However, a possible explanation for the apparent adoption of salvage therapy earlier than expected is that debate surrounding its use began long before the initiation of the landmark trials that led to the guideline changes [17]. It is possible that the accumulation of non-level one evidence had already influenced the decision making of many clinicians treating patients in this cohort, and indeed previous work suggests that the use of adjuvant RT was already declining during this time [18].
Additionally, we confirmed our hypothesis that management patterns for our high-risk cohort remained varied and driven by patient- and institution-specific factors. Though the majority of our cohort were treated at two institutions, they differed significantly in proportion of adjuvant versus salvage therapy. Though PURC lacks details about practice setting and other institution-level data, this suggests that receipt of secondary therapy may be influenced by factors beyond the individual patient, consistent with the existing literature [19]. Regarding patient-specific factors, we further identified characteristics such as elevated preoperative PSA (≥10 ng/mL), secondary treatment beginning in or after 2020, and secondary treatment with RT as significant factors predicting the receipt of salvage therapy. The findings of elevated preoperative PSA as a significant predictor of salvage therapy is somewhat surprising, as this characteristic is traditionally associated with increased risk for BCR and therefore would be expected to predict adjuvant therapy. Given the variety of factors that can cause elevations in PSA, it is possible that this metric is less heavily weighted during clinical decision making by the providers captured in this study. We also found that elevated postoperative PSA (≥0.1 ng/mL) was a significant factor predicting against the receipt of salvage therapy. This follows the existing literature, which identified detectable postoperative PSA to be a poor prognostic indicator. Though characteristics such as Gleason score, pT staging, pN+ status, and PSM differed between cohorts, none were found to be significant predictors in our model. The reasoning for this is not clear but likely reflects the inherent heterogeneity in the constructed high-risk cohort. We also found a significant difference in receipt of adjuvant versus salvage therapy based on type of patient insurance. This may represent a problem with data abstraction in the PURC dataset, as significantly more patients who underwent salvage therapy were categorized as having “other” or “unknown” insurance providers. Regardless, one retrospective, cohort study found that private insurance was a significant positive predictor of patients with clinically insignificant CaP receiving RP [20], suggesting that insurance could play a role in treatment pathways. However, there appears to be a dearth of literature specifically examining the influence of insurance type on post-RP treatment selection, so this may be a worthwhile question for future investigations.
The exact PSA level used to initiate early salvage therapy remains varied. The AUA suggest a value of 0.2 ng/mL, above which treatment should be initiated and below which treatment may be initiated based on other clinical factors [11]. The EAU recommend beginning treatment after two consecutive increases in PSA [12]. In the landmark trials, the investigators in RAVES utilized a PSA threshold of 0.2 ng/mL [5], while those in GETUG-AFU 17 used 0.2 ng/mL and rising [6], and RADICALS-RT studied a PSA greater than 0.1 ng/mL following two consecutive rising PSA values or three consecutive rising values [7]. In the present study, nearly all patients in the salvage cohort had secondary therapy initiated in the setting of a rising PSA; however, a notable limitation of the database was that we were unable to ascertain exactly how many rising values were recorded. The specific PSA at which therapy was initiated in this cohort was most commonly ≥ 0.2 ng/mL, with < 0.1 ng/mL being extremely uncommon and an overall median value of 0.27 ng/mL. These results seem to more closely follow the EAU recommendations and/or the RAVES/GETUG-AFU 17 criteria. In the absence of level one evidence showing a PSA cutoff of 0.1 mg/mL to be superior to 0.2 ng/mL, it is reasonable that clinicians may choose the latter as it may delay patients from experiencing the negative effects of secondary therapies for a longer period of time.
We noted a nonsignificant decrease in median PSA values for initiating salvage therapy pre- and post-2020 with the publication of the trials. Though this result did not reach statistical significance, it could signify an adaptation of earlier salvage therapy by clinicians. Interestingly, though the PSA value prior to initiation of salvage therapy did not significantly change, we noted the emergence of a significant temporal delay as the median time from RP to salvage therapy increased from 281 to 488 days post-2020. A possible reason for this increase in time to salvage therapy is that patients who would previously have been treated with adjuvant therapy were now being observed and who did not require salvage treatment until much later if indeed they required additional treatment at all. This trend is likely also influenced by the increasing emphasis on monitoring PSA trends rather than initiating therapy at the first detectable PSA [11]. This finding is consistent with the amendments to the AUA guidelines that favor deferring initiation of therapy upon PSA elevation.
PSA doubling time (PSADT) is a valuable prognostic indicator used to assess disease progression post-RP and provide insight on a patient’s likelihood to develop metastases as well as predicting a favorable response to salvage RT [21,22]. There has been some debate regarding the methodology utilized to calculate PSADT with studies using 3 months and 6 months to reveal high-risk patients. Rapid rises in PSA over a shorter interval was shown to reflect a more aggressive form of disease that necessitated earlier salvage therapy intervention [23]. There are many clinical parameters that will impact a patients’ response to RT with studies indicating improved outcomes when given at low PSA levels in cases of poorly differentiated cancer and short PSADT [24]. This underscores the merit of utilizing PSA kinetics to facilitate patients receiving timely and appropriate treatment. We also sought to characterize a cohort of pN+ patients and found highly variable management, consistent with the existing literature [19]. In our cohort, patients were split approximately evenly between adjuvant and salvage pathways. This is reflective of the overall heterogeneity of a pN+ disease state [15] and the lack of strong guideline statements regarding management of these patients [9,12]. Importantly, a significant limitation to our study is that we were unable to ascertain the exact number of positive nodes, a characteristic that has been shown to be predictive of several oncologic outcomes [13,14]. Though we performed no formal comparison, pN+ patients who went on to receive salvage therapy appeared to do so closer to the time of RP compared to the overall cohort. This is likely reflective of the existing principle that node positivity places an individual at higher risk for BCR and disease progression. To date, only one randomized clinical trial (ECOG 3886) has been published which investigated the management of pN+ patients [25]. 100 pN+ patients were randomized to immediate, lifelong ADT versus observation with salvage ADT. Adjuvant patients were shown to have improved overall survival; however, BCR was not sufficient to initiate ADT in the observation cohort and only one patient received salvage RT with ADT. Several retrospective studies have supported the role of RT in these patients. One study of 270 patients receiving secondary RT treatment with or without ADT noted favorable biochemical progression-free survival, with increasing success at low pre-RT PSA levels (83% at <0.1 ng/mL, 76% at 0.1–<0.5 ng/mL, 60% at 0.5–2 ng/mL) [26]. Other studies have similarly substantiated the utility of RT as either a monotherapy or in combination with ADT [27]. Accordingly, we noted a nonsignificant trend towards RT compared to ADT in the salvage pN+ cohort. Ultrasensitive PSA (uPSA) utilization may also represent an opportunity for a more robust risk stratification post-RP. One study involving 188 pN+ patients suggested that uPSA could be used to allow observation with early salvage therapy [28]. This may represent a valuable tool to inform clinical decision making in this higher risk population.
As with any study, ours is not without its limitations. This study is inclusive of all adjuvant and salvage therapy patients, and is not strictly limited to those receiving RT. A greater proportion of patients in our study received secondary treatment prior to 2020, potentially skewing our results. As with all database-driven studies, there is always risk of misclassification among reporters during data abstraction. Several limitations are inherent to the PURC database. Due to the nature of data recording, patients who are currently undergoing observation with planned early salvage therapy if required are not captured in our study cohort. This is similarly true for pN+ patients that have, to date, received no secondary treatment. Participation in PURC is voluntary and regional; thus, our data may not be broadly generalizable. Additionally, despite the robustness of the database, we can never wholly understand the complete clinical context of the individual patient that led to certain decisions. Discrete categorization of secondary therapies may introduce bias due to institutional differences in defining adjuvant versus salvage therapy. Additional limitations include lack of data regarding the extent of the lymph node dissection performed, the number of positive nodes in the pN+ population, and imaging findings after RP (including emerging modalities such as PSMA PET CT/MRI findings). Studies have shown these factors affect patient management and are predictors of biochemical recurrence and cancer specific survival [29,30,31]. Additionally, the lack of data on genomic risk scores (Decipher, Select MDx, etc.) limits further analysis on the utilization of genomic classifiers in patient management [32]. We also lack data on practice setting. This may represent a significant confounding variable, as has been suggested in other similar studies [19].

5. Conclusions

This retrospective study reflects real-world management patterns for patients with high-risk prostate cancer undergoing radical prostatectomy, with a focus on the decision-making process between immediate versus deferred radiation therapy. The management of high-risk CaP after RP remains varied, though clinicians are increasingly moving towards observation with early salvage therapy as the preferred treatment pathway. Notably, receipt of secondary therapy in or after 2020 was a significant predictor of clinicians opting for salvage over adjuvant therapy.
The growing preference for observation with salvage therapy reflects an evolving understanding shaped by recent level-one evidence. However, even after publication of landmark trials, heterogeneity in clinical practice persists. The variability in postoperative management highlights a key clinical challenge: our current risk stratification tools remain imperfect. As a result, clinicians must balance the risk of overtreatment with the potential consequences of undertreatment—aiming to administer therapy early enough to benefit those who need it, while avoiding unnecessary toxicity in those who do not.
While a PSA threshold of <0.2 ng/mL is increasingly accepted for initiating salvage therapy, the cutoff’s applicability to pN+ patients remains uncertain. This subgroup may benefit from use of ultrasensitive PSA assays and prospective evaluation of tailored PSA thresholds for initiating salvage therapy. Emerging diagnostic modalities may also provide further insight into understanding which patients will benefit from adjuvant therapy. Furthermore, the management of pN+ patients would greatly benefit from prospective, randomized clinical trials to further elucidate optimal treatment pathways.

Author Contributions

Conceptualization, C.I., J.J.T., S.G., A.C., R.U., M.S. (Marc Smaldone), J.F.D., T.J.G., D.J.L., L.B., J.W., J.D.R., R.K.C., A.R., B.J., T.J., K.J.K., M.S. (Meghan Smith) and M.S.S.; Methodology, A.R.H., A.H.H., M.B.B. and M.S.S.; Software, A.H.H.; Validation, M.B.B.; Formal Analysis, A.H.H. and M.B.B.; Resources, M.S. (Meghan Smith) and M.S.S.; Data Curation, A.H.H. and M.S. (Meghan Smith); Writing—Original Draft Preparation, A.R.H., A.H.H., R.A.M.T., M.B.B., C.D.L., J.D.R. and M.S.S.; Writing—Review and Editing, A.R.H., A.H.H., R.A.M.T., M.B.B., C.D.L., C.I., J.J.T., S.G., A.C., R.U., M.C.S. (Marc Smaldone), J.F.D., T.J.G., D.J.L., L.B., J.W., J.D.R., R.K.C., A.R., B.J., T.J., K.J.K., M.S. (Meghan Smith) and M.S.S.; Visualization, A.R.H., A.H.H., M.B.B. and M.S.S.; Supervision, C.D.L., J.D.R. and M.S.S.; Project Administration, A.R.H., M.S. (Meghan Smith) and M.S.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved as not requiring ethical review by the Institutional Review Board of Thomas Jefferson University (May 2015). Ethical review was also waived by Western Institutional Review Board as this study is a quality improvement initiative that does not satisfy the definition of “research” under 45 CFR 46.102(d) (#1-882092-1, April 2015).

Informed Consent Statement

Patient consent was waived as this study evaluated aggregate deidentified data with a cohort analysis.

Data Availability Statement

Data were provided with permission from the Pennsylvania Urologic Regional Collaborative (PURC) participating urology practices. PURC is a quality improvement initiative led by the Health Care Improvement Foundation which brings urology practices together in a physician-led, data-sharing and improvement collaborative aimed at advancing the quality of diagnosis and care for men with prostate cancer.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Siegel, R.L.; Miller, K.D.; Wagle, N.S.; Jemal, A. Cancer statistics, 2023. CA Cancer J Clin. 2023, 73, 17–48. [Google Scholar] [CrossRef]
  2. Borregales, L.D.; DeMeo, G.; Gu, X.; Cheng, E.; Dudley, V.; Schaeffer, E.M.; Nagar, H.; Carlsson, S.; Vickers, A.; Hu, J.C. Grade Migration of Prostate Cancer in the United States During the Last Decade. JNCI J. Natl. Cancer Inst. 2022, 114, 1012–1019. [Google Scholar] [CrossRef]
  3. Stephenson, A.J.; Scardino, P.T.; Eastham, J.A.; Bianco, F.J.; Dotan, Z.A.; Fearn, P.A.; Kattan, M.W. Preoperative Nomogram Predicting the 10-Year Probability of Prostate Cancer Recurrence After Radical Prostatectomy. JNCI J. Natl. Cancer Inst. 2006, 98, 715–717. [Google Scholar] [CrossRef]
  4. Moschini, M.; Sharma, V.; Zattoni, F.; Boorjian, S.A.; Frank, I.; Gettman, M.T.; Thompson, R.H.; Tollefson, M.K.; Kwon, E.D.; Karnes, R.J. Risk Stratification of pN+ Prostate Cancer after Radical Prostatectomy from a Large Single Institutional Series with Long-Term Followup. J. Urol. 2016, 195, 1773–1778. [Google Scholar] [CrossRef]
  5. Kneebone, A.; Fraser-Browne, C.; Duchesne, G.M.; Fisher, R.; Frydenberg, M.; Herschtal, A.; Williams, S.G.; Brown, C.; Delprado, W.; Haworth, A.; et al. Adjuvant radiotherapy versus early salvage radiotherapy following radical prostatectomy (TROG 08.03/ANZUP RAVES): A randomised, controlled, phase 3, non-inferiority trial. Lancet Oncol. 2020, 21, 1331–1340. [Google Scholar] [CrossRef]
  6. Sargos, P.; Chabaud, S.; Latorzeff, I.; Magné, N.; Benyoucef, A.; Supiot, S.; Pasquier, D.; Abdiche, M.S.; Gilliot, O.; Graff-Cailleaud, P.; et al. Adjuvant radiotherapy versus early salvage radiotherapy plus short-term androgen deprivation therapy in men with localised prostate cancer after radical prostatectomy (GETUG-AFU 17): A randomised, phase 3 trial. Lancet Oncol. 2020, 21, 1341–1352. [Google Scholar] [CrossRef]
  7. Parker, C.C.; Clarke, N.W.; Cook, A.D.; Kynaston, H.G.; Petersen, P.M.; Catton, C.; Cross, W.; Logue, J.; Parulekar, W.; Payne, H.; et al. Timing of radiotherapy after radical prostatectomy (RADICALS-RT): A randomised, controlled phase 3 trial. Lancet 2020, 396, 1413–1421. [Google Scholar] [CrossRef]
  8. Vale, C.L.; Fisher, D.; Kneebone, A.; Parker, C.; Pearse, M.; Richaud, P.; Sargos, P.; Sydes, M.R.; Brawley, C.; Brihoum, M.; et al. Adjuvant or early salvage radiotherapy for the treatment of localised and locally advanced prostate cancer: A prospectively planned systematic review and meta-analysis of aggregate data. Lancet 2020, 396, 1422–1431. [Google Scholar] [CrossRef]
  9. Eastham, J.A.; Auffenberg, G.B.; Barocas, D.A.; Chou, R.; Crispino, T.; Davis, J.W.; Eggener, S.; Horwitz, E.M.; Kane, C.J.; Kirkby, E.; et al. Clinically Localized Prostate Cancer: AUA/ASTRO Guideline, Part II: Principles of Active Surveillance, Principles of Surgery, and Follow-Up. J. Urol. 2022, 208, 19–25. [Google Scholar] [CrossRef]
  10. Cornford, P.; Bergh, R.C.v.D.; Briers, E.; Broeck, T.V.D.; Brunckhorst, O.; Darraugh, J.; Eberli, D.; De Meerleer, G.; De Santis, M.; Farolfi, A.; et al. EAU-EANM-ESTRO-ESUR-ISUP-SIOG Guidelines on Prostate Cancer—2024 Update. Part I: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur. Urol. 2024, 86, 148–163. [Google Scholar] [CrossRef]
  11. Morgan, T.M.; Boorjian, S.A.; Buyyounouski, M.K.; Chapin, B.F.; Chen, D.Y.T.; Cheng, H.H.; Chou, R.; Jacene, H.A.; Kamran, S.C.; Kim, S.K.; et al. Salvage Therapy for Prostate Cancer: AUA/ASTRO/SUO Guideline Part I: Introduction and Treatment Decision-Making at the Time of Suspected Biochemical Recurrence after Radical Prostatectomy. J. Urol. 2024, 211, 509–517. [Google Scholar] [CrossRef]
  12. Cornford, P.; van den Bergh, R.C.; Briers, E.; Van den Broeck, T.; Brunckhorst, O.; Darraugh, J.; Eberli, D.; De Meerleer, G.; De Santis, M.; Farolfi, A.; et al. EAU-EANM-ESTRO-ESUR-ISUP-SIOG Guidelines on Prostate Cancer. EAU Guidelines. 2024. Available online: https://uroweb.org/guidelines/prostate-cancer (accessed on 30 December 2024).
  13. Moschini, M.; Sharma, V.; Zattoni, F.; Quevedo, J.F.; Davis, B.J.; Kwon, E.; Karnes, R.J. Natural History of Clinical Recurrence Patterns of Lymph Node–Positive Prostate Cancer After Radical Prostatectomy. Eur. Urol. 2016, 69, 135–142. [Google Scholar] [CrossRef]
  14. Boorjian, S.A.; Thompson, R.H.; Siddiqui, S.; Bagniewski, S.; Bergstralh, E.J.; Karnes, R.J.; Frank, I.; Blute, M.L. Long-Term Outcome After Radical Prostatectomy for Patients with Lymph Node Positive Prostate Cancer in the Prostate Specific Antigen Era. J. Urol. 2007, 178, 864–871. [Google Scholar] [CrossRef]
  15. Touijer, K.A.; Mazzola, C.R.; Sjoberg, D.D.; Scardino, P.T.; Eastham, J.A. Long-term Outcomes of Patients with Lymph Node Metastasis Treated with Radical Prostatectomy Without Adjuvant Androgen-deprivation Therapy. Eur. Urol. 2014, 65, 20–25. [Google Scholar] [CrossRef]
  16. von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. J. Clin. Epidemiol. 2008, 61, 344–349. [Google Scholar] [CrossRef]
  17. Su, M.Z.; Kneebone, A.B.; Woo, H.H. Adjuvant versus salvage radiotherapy following radical prostatectomy: Do the AUA/ASTRO guidelines have all the answers? Expert Rev. Anticancer Ther. 2014, 14, 1265–1270. [Google Scholar] [CrossRef]
  18. Sineshaw, H.M.; Gray, P.J.; Efstathiou, J.A.; Jemal, A. Declining Use of Radiotherapy for Adverse Features After Radical Prostatectomy: Results From the National Cancer Data Base. Eur. Urol. 2015, 68, 768–774. [Google Scholar] [CrossRef]
  19. Triner, D.; Daignault-Newton, S.; Singhal, U.; Sessine, M.; Dess, R.T.; Caram, M.E.V.; Borza, T.; Ginsburg, K.B.; Lane, B.R.; Morgan, T.M. Variation in management of lymph node positive prostate cancer after radical prostatectomy within a statewide quality improvement consortium. Urol. Oncol. 2024, 42, e1–e220. [Google Scholar] [CrossRef]
  20. Pooli, A.; Salmasi, A.; Faiena, I.; Lenis, A.T.; Johnson, D.C.; Lebacle, C.; Drakaki, A.; Gollapudi, K.; Blumberg, J.; Pantuck, A.J.; et al. Variation in surgical treatment patterns for patients with prostate cancer in the United States: Do patients in academic hospitals fare better? Urol. Oncol. 2019, 37, 63–70. [Google Scholar] [CrossRef]
  21. Jackson, W.C.; Johnson, S.B.; Li, D.; Foster, C.; Foster, B.; Song, Y.; Schipper, M.; Shilkrut, M.; Sandler, H.M.; Morgan, T.M.; et al. A prostate-specific antigen doubling time of <6 months is prognostic for metastasis and prostate cancer-specific death for patients receiving salvage radiation therapy post radical prostatectomy. Radiat. Oncol. 2013, 8, 170. [Google Scholar] [CrossRef]
  22. Roberts, S.G.; Blute, M.L.; Bergstralh, E.J.; Slezak, J.M.; Zincke, H. PSA doubling time as a predictor of clinical progression after biochemical failure following radical prostatectomy for prostate cancer. Mayo Clin. Proc. 2001, 76, 576–581. [Google Scholar] [CrossRef]
  23. D’Amico, A.V.; Moul, J.W.; Carroll, P.R.; Sun, L.; Lubeck, D.; Chen, M.H. Surrogate end point for prostate cancer-specific mortality after radical prostatectomy or radiation therapy. J. Natl. Cancer Inst. 2003, 95, 1376–1383. [Google Scholar] [CrossRef]
  24. Stephenson, A.J.; Scardino, P.T.; Kattan, M.W.; Pisansky, T.M.; Slawin, K.M.; Klein, E.A.; Anscher, M.S.; Michalski, J.M.; Sandler, H.M.; Lin, D.W.; et al. Predicting the outcome of salvage radiation therapy for recurrent prostate cancer after radical prostatectomy. J. Clin. Oncol. 2007, 25, 2035–2041. [Google Scholar] [CrossRef]
  25. Messing, E.M.; Manola, J.; Yao, J.; Kiernan, M.; Crawford, D.; Wilding, G.; di’SantAgnese, P.A.; Trump, D. Immediate versus deferred androgen deprivation treatment in patients with node-positive prostate cancer after radical prostatectomy and pelvic lymphadenectomy. Lancet Oncol. 2006, 7, 472–479. [Google Scholar] [CrossRef]
  26. Ballas, L.K.; Reddy, C.A.; Han, H.R.; Makar, J.B.; Mian, O.; Broughman, J.; de Bustamante, C.; Eggener, S.; Liauw, S.L.; Abramowitz, M.; et al. Patterns of recurrence following radiation and ADT for pathologic lymph node positive prostate cancer: A multi-institutional study. Pract. Radiat. Oncol. 2024, in press. [Google Scholar] [CrossRef]
  27. Marra, G.; Lesma, F.; Montefusco, G.; Filippini, C.; Olivier, J.; Affentranger, A.; Grogg, J.B.; Hermanns, T.; Afferi, L.; Fankhauser, C.D.; et al. Observation with or Without Subsequent Salvage Therapy for Pathologically Node-positive Prostate Cancer with Negative Conventional Imaging: Results From a Large Multicenter Cohort. Eur. Urol. Open Sci. 2024, 68, 32–39. [Google Scholar] [CrossRef]
  28. Aguiar, J.A.; Li, E.V.; Ho, A.; Bennett, R.; Li, Y.; Neill, C.; Schaeffer, E.M.; Patel, H.D.; Ross, A.E. Ultrasensitive PSA: Rethinking post-surgical management for node positive prostate cancer. Front. Oncol. 2024, 14, 1363009. [Google Scholar] [CrossRef]
  29. Carlsson, S.V.; Tafe, L.J.; Chade, D.C.; Sjoberg, D.D.; Passoni, N.; Shariat, S.F.; Eastham, J.; Scardino, P.T.; Fine, S.W.; Touijer, K.A. Pathological features of lymph node metastasis for predicting biochemical recurrence after radical prostatectomy for prostate cancer. J. Urol. 2013, 189, 1314–1318. [Google Scholar] [CrossRef]
  30. Briganti, A.; Karnes, J.R.; Da Pozzo, L.F.; Cozzarini, C.; Gallina, A.; Suardi, N.; Bianchi, M.; Freschi, M.; Doglioni, C.; Fazio, F.; et al. Two positive nodes represent a significant cut-off value for cancer specific survival in patients with node positive prostate cancer. A new proposal based on a two-institution experience on 703 consecutive N+ patients treated with radical prostatectomy, extended pelvic lymph node dissection and adjuvant therapy. Eur. Urol. 2009, 55, 261–270. [Google Scholar] [CrossRef]
  31. Pozdnyakov, A.; Kulanthaivelu, R.; Bauman, G.; Ortega, C.; Veit-Haibach, P.; Metser, U. The impact of PSMA PET on the treatment and outcomes of men with biochemical recurrence of prostate cancer: A systematic review and meta-analysis. Prostate Cancer Prostatic. Dis. 2023, 2, 240–248. [Google Scholar] [CrossRef]
  32. Leapman, M.S.; Ho, J.; Liu, Y.; Filson, C.; Zhao, X.; Hakansson, A.; Proudfoot, J.A.; Davicioni, E.; Martin, D.T.; An, Y.; et al. Association Between the Decipher Genomic Classifier and Prostate Cancer Outcome in the Real-world Setting. Eur. Urol. Oncol. 2024, in press. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Frequency of secondary treatment over time.
Figure 1. Frequency of secondary treatment over time.
Cancers 17 01600 g001
Table 1. Demographics of study cohort.
Table 1. Demographics of study cohort.
VariableTotal
(n = 605)
Adjuvant
(n = 230)
Salvage
(n = 375)
p Value
Age Range (years) 0.96
      49 or under6 (1.0%)3 (1.3%)3 (0.8%)
      50–5945 (7.4%)17 (7.4%)28 (7.5%)
      60–69265 (43.8%)101 (43.9%)164 (43.7%)
      70–79259 (42.8%)99 (43.0%)160 (42.7%)
      80–8930 (5.0%)10 (4.3%)20 (5.3%)
Race 0.14
      African American117 (19.3%)51 (22.2%)66 (17.6%)
      Asian12 (2.0%)7 (3.0%)5 (1.3%)
      Caucasian458 (75.7%)163 (70.9%)295 (78.7%)
      Hawaiian/Pacific Islander1 (0.2%)1 (0.4%)0 (0%)
      Other/Unknown/Refused17 (2.8%)8 (3.5%)9 (2.4%)
Ethnicity 0.12
      Non-Hispanic586 (96.9%)219 (95.2%)367 (97.9%)
      Hispanic14 (2.3%)9 (3.9%)5 (1.3%)
      Unknown/Refused5 (0.8%)2 (0.9%)3 (0.8%)
Family History of CaP 0.34
      1st degree121 (20.0%)46 (20.0%)75 (20.0%)
      2nd degree37 (6.1%)16 (7.0%)21 (5.6%)
      Both15 (2.5%)4 (1.7%)11 (2.9%)
      Positive, relation unknown2 (0.3%)0 (0%)2 (0.5%)
      Unknown43 (7.1%)11 (4.8%)32 (8.5%)
      None387 (64.0%)153 (66.5%)234 (62.4%)
Insurance <0.001
      Private159 (26.3%)81 (35.2%)78 (20.8%)
      Medicare/Medicaid149 (24.6%)66 (28.7%)83 (22.1%)
      Tricare/VA8 (1.3%)1 (0.4%)7 (1.9%)
      Self-pay5 (0.8%)1 (0.4%)4 (1.1%)
      Other96 (15.9%)12 (5.2%)84 (22.4%)
      Unknown188 (31.1%)69 (30.0%)119 (31.7%)
Marital Status 0.31
      Single37 (6.1%)19 (8.3%)18 (4.8%)
      Married/Partnered285 (47.1%)110 (47.8%)175 (46.7%)
      Separated/Divorced24 (4.0%)7 (3.0%)17 (4.5%)
      Widowed10 (1.7%)5 (2.2%)5 (1.3%)
      Unknown249 (41.2%)89 (38.7%)160 (42.7%)
Comorbidities
      Cerebrovascular Disease31 (5.1%)15 (6.5%)16 (4.3%)0.22
      Chronic Pulmonary Disease30 (5.0%)10 (4.3%)20 (5.3%)0.59
      Diabetes without Organ Damage76 (12.6%)30 (13.0%)46 (12.3%)0.78
      Diabetes with Organ Damage 7 (1.2%)2 (0.9%)5 (1.3%)0.60
      Myocardial Infarction18 (3.0%)3 (1.3%)15 (4.0%)0.06
      Peripheral Vascular Disease10 (1.7%)5 (2.2%)5 (1.3%)0.43
Facility <0.001
      A183 (30.2%)108 (47.0%)75 (20.0%)
      B12 (2.0%)9 (3.9%)3 (0.8%)
      C225 (37.2%)26 (11.3%)199 (53.1%)
      D29 (4.8%)21 (9.1%)8 (2.1%)
      E4 (0.7%)3 (1.3%)1 (0.3%)
      F11 (1.8%)8 (3.5%)3 (0.8%)
      G34 (5.6%)21 (9.1%)13 (3.5%)
      H40 (6.6%)14 (6.1%)26 (6.9%)
      I66 (10.9%)19 (8.3%)47 (12.5%)
      J1 (0.2%)1 (0.4%)0 (0.0%)
Abbreviations: CaP, prostate cancer; VA, veterans affairs.
Table 2. Clinicopathological characteristics of study cohort.
Table 2. Clinicopathological characteristics of study cohort.
VariableTotal
(n = 605)
Adjuvant
(n = 230)
Salvage
(n = 375)
p Value
Year of RP 0.03
      201557 (9.4%)25 (10.9%)32 (8.5%)
      2016113 (18.7%)44 (19.1%)69 (18.4%)
      2017165 (27.3%)57 (24.8%)108 (28.8%)
      2018106 (17.5%)51 (22.2%)55 (14.7%)
      201978 (12.9%)27 (11.7%)51 (13.6%)
      202041 (6.8%)6 (2.6%)35 (9.3%)
      202128 (4.6%)12 (5.2%)16 (4.3%)
      202215 (2.5%)7 (3.0%)8 (2.1%)
      20232 (0.3%)1 (0.4%)1 (0.3%)
Year of RP (pre/post-2020) 0.11
      <2020519 (85.8%)204 (88.7%)315 (84.0%)
      ≥202086 (14.2%)26 (11.3%)60 (16.0%)
pT <0.001
      T2156 (25.8%)36 (15.7%)120 (32.0%)
      T3a196 (32.4%)83 (36.1%)113 (30.1%)
      T3b251 (41.5%)111 (48.3%)140 (37.3%)
      T42 (0.3%)0 (0%)2 (0.5%)
pN 0.003
      N0499 (82.5%)176 (76.5%)323 (86.1%)
      N1106 (17.5%)54 (23.5%)52 (13.9%)
Gleason Score 0.01
      63 (0.5%)2 (0.9%)1 (0.3%)
      7291 (49.3%)95 (42.2%)196 (53.7%)
      8103 (17.5%)37 (16.4%)66 (18.1%)
      9187 (31.7%)87 (38.7%)100 (27.4%)
      106 (1.0%)4 (1.8%)2 (0.5%)
Surgical Margin 0.003
      Negative272 (45.0%)86 (37.4%)186 (49.7%)
      Positive332 (55.0%)144 (62.6%)188 (50.3%)
Pre-op PSA (ng/mL)8.20 (5.40–14.18)7.90 (5.19–14.54)8.31 (5.50–14.01)0.46
Pre-op PSA Range (ng/mL) 0.97
      PSA < 10340 (59.3%)126 (59.4%)214 (59.3%)
      PSA ≥ 10233 (40.7%)86 (40.6%)147 (40.7%)
Post-op PSA (ng/mL)0.09 (0.09–0.40)0.10 (0.06–0.55)0.09 (0.09–0.30)0.45
Post-op PSA Range (ng/mL) <0.001
      PSA < 0.1310 (51.2%)98 (42.6%)212 (56.5%)
      PSA ≥ 0.1295 (48.8%)132 (57.4%)163 (43.5%)
Pre-Secondary Tx PSA (ng/mL)0.26 (0.12–0.70)0.24 (0.09–0.80)0.27 (0.16–0.68)0.02
Secondary Tx Type <0.001
      ADT162 (26.8%)82 (35.7%)80 (21.3%)
      Chemotherapy5 (0.8%)0 (0%)5 (1.3%)
      EBRT438 (72.4%)148 (64.3%)290 (77.3%)
Year Secondary Tx Initiated <0.001
      201510 (1.7%)7 (3.0%)3 (0.8%)
      201655 (9.1%)34 (14.8%)21 (5.6%)
      2017104 (17.2%)48 (20.9%)56 (14.9%)
      2018167 (27.6%)67 (29.1%)100 (26.7%)
      201992 (15.2%)43 (18.7%)49 (13.1%)
      202062 (10.2%)9 (3.9%)53 (14.1%)
      202153 (8.8%)6 (2.6%)47 (12.5%)
      202247 (7.8%)12 (5.2%)35 (9.3%)
      202313 (2.1%)3 (1.3%)10 (2.7%)
      20242 (0.3%)1 (0.4%)1 (0.3%)
Secondary Tx Initiated Before/After 2020 <0.001
      <2020428 (70.7%)199 (86.5%)229 (61.1%)
      ≥2020177 (29.3%)31 (13.5%)146 (38.9%)
Days From RP to Secondary Tx243 (140–470)166 (113–253)350 (185–658)<0.001
Abbreviations: ADT, androgen deprivation therapy; EBRT, external beam radiation therapy; pN, pathologic N stage; PSA, prostate specific antigen; pT, pathologic T stage; RP, radical prostatectomy; Tx, treatment.
Table 3. Multivariable analysis of patient factors associated with receipt of salvage therapy.
Table 3. Multivariable analysis of patient factors associated with receipt of salvage therapy.
VariableORp ValueCI
Insurance
      Private (ref.)1
      Medicare/Medicaid0.870.660.46–1.62
      Tricare/VA5.390.160.51–56.41
      Self-pay0.130.110.01–1.54
      Other0.920.870.33–2.54
      Unknown1.120.730.58–2.17
Facility
      A0.740.530.28–1.92
      B0.410.310.07–2.29
      C5.260.0031.73–15.93
      D0.470.270.13–1.78
      E1.810.730.06–51.97
      F0.980.980.17–5.53
      G0.750.640.22–2.57
      H (ref.)1
      I2.630.090.86–7.97
      J1
pT
      T2 (ref.)1
      T3 or T41.060.810.65–1.73
pN
      N0 (ref.)1
      N+0.780.450.41–1.48
Gleason Score0.950.690.73–1.23
Margin
      Negative (ref.)1
      Positive0.850.520.52–1.39
Pre-op PSA Range
      <10 ng/mL (ref.)1
      ≥10 ng/mL2.150.0021.31–3.53
Post-op PSA Range
      <0.1 ng/mL (ref.)1
      ≥0.1 ng/mL0.390.0040.20–0.74
Pre-Secondary Tx PSA Range (ng/mL)
      PSA < 0.10.2<0.0010.09–0.44
      0.1 ≤ PSA < 0.2 (ref.)1
      PSA ≥ 0.21.480.260.75–2.93
Secondary Tx Initiated Before/After 2020
      <2020 (ref.)1
      ≥20203.41<0.0011.75–6.66
Secondary Tx Type
      ADT (ref.)1
      Chemotherapy1
      EBRT2.750.0011.52–5.00
Abbreviations: ADT, androgen deprivation therapy; EBRT, external beam radiation therapy; pN, pathologic N stage; PSA, prostate specific antigen; pT, pathologic T stage; Tx, treatment; VA, veterans affairs.
Table 4. Factors of salvage therapy group before vs. after 2020.
Table 4. Factors of salvage therapy group before vs. after 2020.
VariableTotal Salvage
(n = 375)
<2020
(n = 229)
≥2020
(n = 146)
p Value
Year of RP <0.001
      201532 (8.5%)30 (13.1%)2 (1.4%)
      201669 (18.4%)65 (28.4%)4 (2.7%)
      2017108 (28.8%)89 (38.9%)19 (13.0%)
      201855 (14.7%)38 (16.6%)17 (11.6%)
      201951 (13.6%)7 (3.1%)44 (30.1%)
      202035 (9.3%)0 (0%)35 (24.0%)
      202116 (4.3%)0 (0%)16 (11.0%)
      20228 (2.1%)0 (0%)8 (5.5%)
      20231 (0.3%)0 (0%)1 (0.7%)
Year of RP (pre/post-2020) <0.001
      <2020315 (84.0%)229 (100%)86 (58.9%)
      ≥202060 (16.0%)0 (0%)60 (41.1%)
Days From RP to Secondary Tx350 (185–658)281 (170–489)488 (221–1064)<0.001
Pre-Secondary Tx PSA (ng/mL)0.27 (0.16–0.68)0.30 (0.16–0.77)0.22 (0.16–0.49)0.26
Rising PSA 0.04
      No32 (8.5%)25 (10.9%)7 (4.8%)
      Yes343 (91.5%)204 (89.1%)139 (95.2%)
Pre-secondary Tx PSA Range (ng/mL) 0.73
      PSA < 0.134 (9.3%)22 (9.9%)12 (8.3%)
      0.1 ≤ PSA < 0.275 (20.4%)43 (19.3%)32 (22.2%)
      PSA ≥ 0.2258 (70.3%)158 (70.9%)100 (69.4%)
Pre-secondary Tx PSA Range (ng/mL) and Rising 0.32
      PSA < 0.1, not rising8 (2.2%)6 (2.7%)2 (1.4%)
      0.1 ≤ PSA < 0.2, not rising5 (1.4%)5 (2.2%)0 (0.0%)
      PSA ≥ 0.2, not rising17 (4.6%)12 (5.4%)5 (3.5%)
      PSA < 0.1 and rising26 (7.1%)16 (7.2%)10 (6.9%)
      0.1 ≤ PSA < 0.2 and rising70 (19.1%)38 (17.0%)32 (22.2%)
      PSA ≥ 0.2 and rising241 (65.7%)146 (65.5%)95 (66.0%)
Abbreviations: PSA, prostate-specific antigen; RP, radical prostatectomy; Tx, treatment.
Table 5. Factors of pN+ group by adjuvant vs. salvage therapy.
Table 5. Factors of pN+ group by adjuvant vs. salvage therapy.
VariableTotal pN+
(n = 106)
Adjuvant
(n = 54)
Salvage
(n = 52)
p Value
Days From RP to Secondary Tx126 (77–202)102 (51–149)150 (108–248)<0.001
Secondary Tx Type 0.06
      ADT60 (56.6%)36 (66.7%)24 (46.2%)
      Chemotherapy2 (1.9%)0 (0%)2 (3.8%)
      EBRT44 (41.5%)18 (33.3%)26 (50.0%)
Gleason Score 0.28
      729 (28.2%)12 (23.1%)17 (33.3%)
      819 (18.4%)10 (19.2%)9 (17.6%)
      953 (51.5%)30 (57.7%)23 (45.1%)
      102 (1.9%)0 (0%)2 (3.9%)
Surgical Margin 0.78
      Negative34 (32.1%)18 (33.3%)16 (30.8%)
      Positive72 (67.9%)36 (66.7%)36 (69.2%)
pT 0.30
      T210 (9.4%)3 (5.6%)7 (13.5%)
      T3a20 (18.9%)12 (22.2%)8 (15.4%)
      T3b76 (71.7%)39 (72.2%)37 (71.2%)
Pre-op PSA (ng/mL)11.47 (6.90–23.04)8.70 (5.30–18.20)13.70 (9.26–26.35)0.01
Post-op PSA (ng/mL)0.50 (0.10–2.16)0.40 (0.09–1.34)0.59 (0.18–5.95)0.12
Pre-Secondary Tx PSA (ng/mL)0.67 (0.20–3.12)0.69 (0.09–2.40)0.60 (0.20–6.60)0.26
Rising PSA <0.001
      No58 (54.7%)54 (100%)4 (7.7%)
      Yes48 (45.3%)0 (0%)48 (92.3%)
Pre-secondary Tx PSA Range (ng/mL) 0.06
      PSA < 0.115 (16.9%)11 (26.2%)4 (8.5%)
      0.1 ≤ PSA < 0.27 (7.9%)2 (4.8%)5 (10.6%)
      PSA ≥ 0.267 (75.3%)29 (69.0%)38 (80.9%)
Pre-secondary Tx PSA Range (ng/mL) and Rising <0.001
      PSA < 0.1, not rising12 (13.5%)11 (26.2%)1 (2.1%)
      0.1 ≤ PSA < 0.2, not rising3 (3.4%)2 (4.8%)1 (2.1%)
      PSA ≥ 0.2, not rising30 (33.7%)29 (69.0%)1 (2.1%)
      PSA < 0.1 and rising3 (3.4%)0 (0.0%)3 (6.4%)
      0.1 ≤ PSA < 0.2 and rising4 (4.5%)0 (0.0%)4 (8.5%)
      PSA ≥ 0.2 and rising37 (41.6%)0 (0.0%)37 (78.7%)
Abbreviations: ADT, androgen deprivation therapy; EBRT, external beam radiation therapy; pN, pathologic N stage; PSA, prostate specific antigen; pT, pathologic T stage; Tx, treatment.
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Hochberg, A.R.; Ho, A.H.; Thompson, R.A.M.; Buck, M.B.; Lallas, C.D.; Ibilibor, C.; Tomaszewski, J.J.; Ginzburg, S.; Correa, A.; Uzzo, R.; et al. Real-World Management of High-Risk Prostate Cancer Post-Radical Prostatectomy: Insights from a Regional Quality Collaborative. Cancers 2025, 17, 1600. https://doi.org/10.3390/cancers17101600

AMA Style

Hochberg AR, Ho AH, Thompson RAM, Buck MB, Lallas CD, Ibilibor C, Tomaszewski JJ, Ginzburg S, Correa A, Uzzo R, et al. Real-World Management of High-Risk Prostate Cancer Post-Radical Prostatectomy: Insights from a Regional Quality Collaborative. Cancers. 2025; 17(10):1600. https://doi.org/10.3390/cancers17101600

Chicago/Turabian Style

Hochberg, Aaron R., Annie H. Ho, Rasheed A. M. Thompson, Matthew B. Buck, Costas D. Lallas, Christine Ibilibor, Jeffrey J. Tomaszewski, Serge Ginzburg, Andres Correa, Robert Uzzo, and et al. 2025. "Real-World Management of High-Risk Prostate Cancer Post-Radical Prostatectomy: Insights from a Regional Quality Collaborative" Cancers 17, no. 10: 1600. https://doi.org/10.3390/cancers17101600

APA Style

Hochberg, A. R., Ho, A. H., Thompson, R. A. M., Buck, M. B., Lallas, C. D., Ibilibor, C., Tomaszewski, J. J., Ginzburg, S., Correa, A., Uzzo, R., Smaldone, M. C., Danella, J. F., Guzzo, T. J., Lee, D. J., Belkoff, L., Walker, J., Raman, J. D., Clark, R. K., Reese, A., ... Shah, M. S. (2025). Real-World Management of High-Risk Prostate Cancer Post-Radical Prostatectomy: Insights from a Regional Quality Collaborative. Cancers, 17(10), 1600. https://doi.org/10.3390/cancers17101600

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