Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2024 Jul 3;14:15307. doi: 10.1038/s41598-024-65969-3

PSA doubling time 4.65 months as an optimal cut-off of Japanese nonmetastatic castration-resistant prostate cancer

Shinichi Sakamoto 1,, Kodai Sato 1, Takahiro Kimura 2, Yoshiyuki Matsui 3, Yusuke Shiraishi 4, Kohei Hashimoto 5, Hideaki Miyake 6, Shintaro Narita 7, Jun Miki 8, Ryuji Matsumoto 9, Takuma Kato 10, Toshihiro Saito 11, Ryotaro Tomida 12, Masaki Shiota 13, Akira Joraku 14, Naoki Terada 15, Shigetaka Suekane 16, Tomoyuki Kaneko 17, Shuichi Tatarano 18, Yuko Yoshio 19, Takayuki Yoshino 20, Naotaka Nishiyama 21, Eiryo Kawakami 22, Tomohiko Ichikawa 1, Hiroshi Kitamura 21
PMCID: PMC11222484  PMID: 38961131

Abstract

A multicenter study of nonmetastatic castration-resistant prostate cancer (nmCRPC) was conducted to identify the optimal cut-off value of prostate-specific antigen (PSA) doubling time (PSADT) that correlated with the prognosis in Japanese nmCRPC. Of the 515 patients diagnosed and treated for nmCRPC at 25 participating Japanese Urological Oncology Group centers, 450 patients with complete clinical information were included. The prognostic values of clinical factors were evaluated with respect to prostate specific antigen progression-free (PFS), cancer-specific survival (CSS), and overall survival (OS). The optimal cutoff value of PSADT was identified using survival tree analysis by Python. The Median PSA and PSADT at diagnosis of nmCRPC were 3.3 ng/ml, and 5.2 months, respectively. Patients treated with novel hormonal therapy (NHT) showed significantly longer PFS (HR: hazard ratio 0.38, p < 0.0001) and PFS2 (HR 0.45, p < 0.0001) than those treated with vintage nonsteroidal antiandrogen agent (Vintage). The survival tree identified 4.65 months as the most prognostic PSADT cutoff point. Among the clinical and pathological factors PSADT of < 4.65 months remained an independent prognostic factor for OS (HR 2.96, p = 0.0003) and CSS (HR 3.66, p < 0.0001). Current data represented optimal cut-off of PSADT 4.65 months for a Japanese nmCRPC.

Keywords: NHT, nmCRPC, Prostate cancer, PSA doubling time, Vintage

Subject terms: Prostate, Outcomes research

Introduction

Prostate cancer is the leading cause of male death in the United States1. The development of castration-resistant prostate cancer (CRPC) is a key factor affecting the prognosis of patients with prostate cancer. Among localized prostate cancers, treated by radical prostatectomy and radiation therapy eventually relapse and require additional hormonal therapy. During hormonal therapy due to biochemical relapse after radical treatment for localized disease, approximately 20% of patients eventually develop castration resistance without radiographic progression and develop nonmetastatic castration-resistant prostate cancer (nmCRPC)24.

Recent phase III clinical trials such as PROSPER, SPARTAN, and ARAMIS have indicated the prognostic advantage of novel hormonal therapy (NHT) in patients with high-risk nmCRPC57. The PSA doubling time (PSADT) is associated with the development of metastasis or death in nnCRPC8. Based on the entry criteria of these clinical trials, a PSADT of ≤ 10 months should be the cutoff point for patients with nmCRPC who are treated with NHT. Although recent novel imaging based on prostate-specific membrane antigen ligand positron emission tomography (PSMA-PET) has indicated the presence of distant metastasis in approximately 55% of nmCRPC patients8, the majority of clinical trials and daily practice in this setting, are still based on conventional imaging. Thus, PSADT plays a key role in determining the treatment strategy for patients with nmCRPC. Previous phase III clinical trials have demonstrated the prognostic advantage of combined androgen deprivation therapy with bicalutamide and luteinizing hormone-releasing hormone (LH-RH) over LH-RH monotherapy in Japanese patients with locally advanced prostate cancer without metastasis9. Thus, Japanese patients with non-metastatic prostate cancer have traditionally been treated with vintage nonsteroidal antiandrogen agents (vintage) because of their relatively high sensitivity and low financial burden4.

As the treatment landscape of Japanese patients with nmCRPC is unique, the aim of this study was to conduct a multi-institutional study to examine the prognostic difference between patients who received Vintage and NHT, and to identify the optimal cut-off for PSADT.

Results

Patient characteristics

The demographic characteristics of the 450 patients at presentation are summarized in Table 1. The median follow-up period in the entire cohort was 33 months, and the median age at diagnosis was 71 years. The median PSA level at the time of diagnosis of nmCRPC was 3.3 ng/ml. Lymph node metastasis was positive in 17.3% of the patients. The number of patients treated with primary radical prostatectomy, radiation therapy, and androgen deprivation therapy, including Vintage/LH-RH, were 97 (22.1%), 153 (34.9%), and 188 (42.9%), respectively. There were 180 and 270 patients in the vintage and NHT groups, respectively. In the NHT group, the number of patients treated with Enzalutamide, Abiraterone, Apalutamide and Darolutamide were, 121 (44.8%), 49 (18.1%), 47 (17.4%), and 47 (17.4%), respectively; and 6 patients received docetaxel. In the Vintage group, 173 (96.1%) patients received vintage drugs, and seven (1.6%) patients received LH-RH alone. There was a significant difference between the groups in terms of PSA value (p = 0.0121) and Gleason Score (GS) ≥ 8 (p = 0.0180), with no other significant difference observed.

Table 1.

Patient characteristics.

Variable Overall Vintage NHT P
Number 450 180 270
Age (years) 71 (49–94) 73 (50–87) 71 (49–94) 0.1734
PSA at biopsy (ng/mL) 23 (3.2–49,992) 20.4 (3.2–87.9) 24.9 (4.7–4992) 0.1806
PSA (ng/mL) 3.3 (0.04–121.2) 2.9 (0.05–39.5) 3.9 (0.04–178.9) 0.0121*
PSADT (M) 5.26 (0.32–82.25) 5.09 (0.32–47.14) 5.32 (0.73–82.25) 0.7717
Hb (g/dL) 13.1 (8.4–16.1) 13 (9.8–16) 13.1 (8.4–17.6) 0.4625
Performance status
 PS ≥ 1 98 (23.4%) 40 (24.2%) 58 (22.8%) 0.7398
 PS < 1 321 (76.6%) 125 (75.8%) 196 (77.2%)
 Unknown 31 15 16
Biopsy Gleason score
 GS ≥ 8 272 (70.3%) 95 (63.3%) 177 (74.7%) 0.0180*
 GS < 8 115 (29.7%) 55 (36.7%) 60 (25.3%)
 Unknown 63 30 33
cT stage at biopsy
 cT ≥ 3 232 98 (60.9%) 134 (58.3%) 0.605
 cT < 3 159 63 (39.1%) 96 (41.7%)
 Unknown 59 19 4
cN stage
 cN1 72 (17.3%) 25 (15.8%) 47 (18.3%) 0.5176
 cN0 343 (82.7%) 133 (84.2%) 210 (81.7%)
 Unknown 35 22 13
Primary treatment
 Prostatectomy 97 (22.1%) 35 (20.1%) 62 (23.5%) 0.4417
 Radiation therapy 153 (34.9%) 58 (33.3%) 95 (36.0%)
 Vintage・ADT 188 (42.9%) 81 (46.6%) 107 (40.5%)
 Unknown 12 6 6
Treatment for nmCRPC
 Enzalutamide 121 (26.9%) 121 (44.8%)
 Abiraterone 49 (10.9%) 49 (18.1%)
 Apalutamide 47 (10.4%) 47 (17.4%)
 Darolutamide 47 (10.4%) 47 (17.4%)
 Docetaxel 6 (1.3%) 6 (2.2%)
 Vintage 173 (38.4%) 173 (96.1%)
 LH-RH 7 (1.6%) 7 (3.9%)

NHT novel hormonal therapy, cN1 clinical positive pelvic lymph node metastasis, cT stage clinical T stage, Hb hemoglobin, HR hazard ratio, nmCRPC nonmetastatic CRPC, PS performance status, PSA prostate-specific antigen, PSADT PSA doubling time, Vintage vintage androgen receptor antagonist.

*P < 0.05.

Prognostic outcomes in nmCRPC patients

In the 450 nmCRPC patients, the median OS, PFS, and PFS2 were 94.8, 18.1, and 55.8 months, respectively, whereas CSS did not reach the median (Fig. 1). Survival was significantly longer in the NHT group than in the Vintage group for PFS (Hazard Ratio: HR 0.38, p < 0. 0001) and PFS2 (HR 0.45, p < 0.0001), but not for OS (HR 1.11, p = 0.6562) or CSS (HR 1.07, p = 0.7920) (Fig. 2A–D). We conducted a propensity score-matched analysis to adjust for patient background between groups (Table S1). In the matched cohort, the prognostic trends for Vintage and NHT were similar, and significant differences were found for PFS and PFS2, but not for OS and CSS (Fig. 2E–H). To enable a comparison with previous clinical trials that adopted the entry criteria of PSADT ≤ 10 months, we performed a sub-analysis of nmCRPC patients with PSADT ≤ 10 months. Our data indicated longer PSA-PFS and OS in the control arm than in previous clinical trials of nmCRPC6,7,10. The prognostic trends were similar between the Vintage and NHT groups, with significant differences in PFS and PFS2, but not in OS and CSS (Fig. S1).

Figure 1.

Figure 1

Prognosis of nmCRPC patients. (A) Overall survival (OS), cancer-specific survival (CSS), progression-free survival (PFS), and time to second progression or death (PFS2) were analyzed by Kaplan–Meier method.

Figure 2.

Figure 2

Prognostic comparison of nmCRPC patients treated by NHT and Vintage for whole cohort and propensity-score-matched pair cohort. The whole cohort of (A) overall survival (OS), (B) cancer-specific survival (CSS), (C) progression-free survival (PFS), and (D) time to second progression or death (PFS2) of nmCRPC patients treated with NHT and Vintage were analyzed using the Kaplan–Meier method. Propensity score-matched pair cohorts of (E) OS, (F) CSS, (G) PFS, and (H) PFS2 of nmCRPC patients treated with NHT and Vintage were analyzed using the Kaplan–Meier method. Statistical significance was evaluated using the log-rank test. The hazard risk (HR) was evaluated using a proportional hazard model.

Optimal cut-off value of PSADT

To further elucidate the prognostic significance of PSADT, a survival tree was used to identify the optimal cut-off values of PSADT to distinguish between good and poor prognoses. The overall median PSADT was 5.26 months (range 0.32–82.25 months) (Fig. 3A). A survival forest was adapted. The optimal cutoff for PSADT identified was 2.85 months for PFS and 4.65 months for OS and CSS. Optimal PSADT cutoff for Vintage or NHT was presented in Fig. S2.

Figure 3.

Figure 3

Distribution of PSA doubling time (PSADT) and the time-dependent AUC of PSADT derived by survival forest. (A) Distribution of PSA doubling time (PSADT). (B) Percentage of PSADT ≤ 4.65 months and > 4.65 months. Time-dependent AUC of PSADT 4.65 months derived by survival tree and median PSADT 5.26 months for OS (C) and CSS (D). Time-dependent AUC of PSADT 2.85 months derived by survival tree and median PSADT 5.26 months for PFS and PFS2.

The proportion of patients with PSADT < 4.65 months was 43% and that with PSADT ≥ 4.65 months was 57% (Fig. 3B). Time-dependent AUC demonstrated that PSADT 4.65 months derived by survival tree for OS and CSS, consistently showed better AUC at any time point compared to the AUC of the median PSADT of 5.26 months. Similarly, PSADT 2.85 months derived by survival tree for PFS demonstrated better AUC compared to the AUC of median PSADT 5.26 months after 30 months of CRPC treatment.

Patients with PSADT < 4.65 months had significantly shorter survival than those with PSADT ≥ 4.65 months. For PFS and PFS2, patients with PSADT < 2.85 months had significantly shorter survival times than those with PSADT ≥ 2.85 months (Fig. 4).

Figure 4.

Figure 4

Prognostic significance of PSA doubling time (PSADT) cut-off derived by survival tree. (A) Overall survival (OS), and (B) cancer-specific survival (CSS) of nmCRPC patients with PSADT cut-offs of < 4.65 months and ≥ 4.65 months were analyzed by Kaplan–Meier method. (C) Progression-free survival (PFS) and (D) time to second progression or death (PFS2) of nmCRPC patients with PSADT cut-offs of < 2.85 months and ≥ 2.85 months were analyzed by Kaplan–Meier method. Statistical significance was evaluated by log-rank test. Hazard risk (HR) was evaluated by proportional hazard model.

Based on proportional hazard analysis, PSADT < 4.65 months was independently associated with OS (HR 2.96, p = 0.0003) (Table 2) and CSS (HR 3.66, p < 0.0001) (Table 3), and PSADT < 2.85 months was an independent prognostic factor for PFS (HR 1.87, p < 0.0001) (Table 4). To assess the presence of prognostic differences between NHT and Vintage among high-risk cohorts, we also performed a sub-analysis of patients with PSADT < 4.65 months. No significant differences in OS and CSS were observed between the NHT and Vintage groups (Fig. S3). A comparison between recent nmCRPC clinical trials and current data is summarized in Table 5. Among PSADT ≤ 10 months, our cohorts in the control arm showed longer overall survival (approximately 20 months) compared to the survival in the control arm of global clinical trials.

Table 2.

Univariate and multivariate Cox proportional hazard models for OS.

Variable Univariate analysis Multivariate analysis
HR P-value HR P-value
PS ≥ 1 1.91 (1.17–3.12) 0.0055* 1.10 (0.56–2.13) 0.7835
Age ≥ 71 (years) 2.60 (1.61–4.15)  < 0.0001* 2.83 (1.57–5.08) 0.0005*
cT ≥ 3 1.57 (0.95–2.57) 0.0700
cN1 ( +) 2.52 (1.54–4.12) 0.0002* 2.47 (1.25–4.88) 0.0089*
Hb ≥ 13.1 (g/dL) 0.59 (0.36–0.95) 0.0229* 0.56 (0.32–0.98) 0.0422*
PSADT < 10 (months) 2.75 (1.66–4.56)  < 0.0001*
PSADT < 6 (months) 2.26 (1.19–4.31) 0.0128*
PSADT < 4.65 (months) 3.16 (1.94–5.14)  < 0.0001* 2.96 (1.65–5.32) 0.0003*
PSA ≥ 3.3 (ng/dL) 1.76 (1.12–2.74) 0.0132* 0.84 (0.47–1.51) 0.5625
NHT vs. Vintage 1.10 (0.71–1.72) 0.6562

NHT novel hormonal therapy, cN1 clinical positive pelvic lymph nodes metastasis, cT stage clinical T stage, Hb hemoglobin, HR hazard ratio, OS overall survival, PS performance status, PSA prostate specific antigen, PSADT PSA doubling time, Vintage vintage androgen receptor antagonist.

*P < 0.05.

Table 3.

Univariate and multivariate Cox proportional hazard models for CSS.

Variable Univariate analysis Multivariate analysis
HR P-value HR P-value
PS ≥ 1 1.96 (1.16–3.32) 0.0124* 1.49 (0.78–2.86) 0.2278
Age ≥ 71 (years) 2.60 (1.57–4.13) 0.0002* 3.11 (1.71–5.64) 0.0002*
cT ≥ 3 1.53 (0.91–2.58) 0.11
cN1 (+) 2.70 (1.61–4.55) 0.0002* 2.47 (1.29–4.71) 0.0062*
Hb ≥ 13.1 (g/dL) 0.64 (0.38–1.08) 0.0946
PSADT < 10 (months) 2.65 (1.26–5.57) 0.0102*
PSADT < 6 (months) 2.75 (1.66–4.56)  < 0.0001*
PSADT < 4.65 (months) 3.72 (2.18–6.37)  < 0.0001* 3.66 (2.01–6.68)  < 0.0001*
PSA ≥ 3.3 (ng/dL) 1.80 (1.11–2.91) 0.0167* 1.52 (0.85–2.72) 0.1627*
NHT vs. vintage 1.07 (0.66–1.71) 0.7920

NHT novel hormonal therapy, cN1 clinical positive pelvic lymph node metastasis, cT stage clinical T stage, Hb hemoglobin, PS performance status, HR hazard ratio, PSA prostate-specific antigen, PSADT PSA doubling time, Vintage vintage androgen receptor antagonist.

*P < 0.05.

Table 4.

Univariate and multivariate Cox proportional hazard models for PFS.

Variable Univariate analysis Multivariate analysis
HR P-value HR P-value
PS ≥ 1 1.27 (0.95–1.70) 0.1074
Age ≥ 71 (years) 1.37 (1.07–1.76) 0.0139* 1.16 (0.89–1.52) 0.2616
cT ≥ 3 1.18 (0.91–1.54) 0.2100
cN1 (+) 1.38 (1.00–1.91) 0.0498
Hb ≥ 13.1 (g/dL) 0.86 (0.66–1.12) 0.2566
PSADT < 10 (months) 1.42 (1.09–1.82) 0.0085*
PSADT < 6 (months) 1.41 (1.05–1.93) 0.0249*
PSADT < 2.85 (months) 2.06 (1.47–2.89)  < 0.0001* 2.07 (1.47–2.91)  < 0.0001*
PSA ≥ 3.3 (ng/dL) 0.99 (0.78–1.26) 0.9483
NHT vs. vintage 0.39 (0.30–0.49)  < 0.0001* 0.38 (0.29–0.49)  < 0.0001*

NHT novel hormonal therapy, cN1 clinical positive pelvic lymph node metastasis, cT stage clinical T stage, Hb hemoglobin, HR hazard ratio, PS performance status, PFS progression-free survival, PSA prostate-specific antigen, PSADT PSA doubling time, Vintage vintage androgen receptor antagonist.

*P < 0.05.

Table 5.

Summary of clinical trials and the current study.

Entry SPARTAN (apalutamide) PROSPER (enzalutamide) ARAMIS (darolutamide) JUOG study
PSADT ≤ 10 months PSADT ≤ 10 months PSADT ≤ 10 months PSADT ≤ 10 months Whole cohort
Median PSADT (months) 4.4 4.5 4.5 4.3 5.3
PSA (ng/mL) 7.8 9.2 9.2 3.1 3.3
F/U periods 52 48 29 33 33
PSA-PFS (months) ARAT/cont NR/3.7 (HR 0.06) 37.2/3.9 (HR 0.07) NR/NR (HR 0.71) 29.4/6.0 (HR 0.34) 29.7/8.2 (HR 0.38)
OS (months) ARAT/cont 73.9/59.9 (HR 0.78) 67.0/56.3 (HR 0.73) NR/NR (HR 0.69) NR/76.7 months (HR 1.04) NR/94.8 months (HR 1.11)

NHT novel hormonal therapy, Cont control, F/U periods follow-up periods, HR hazard ratio, NR not reached, OS overall survival, PSA prostate specific antigen, PSADT PSA doubling time, PFS progression-free survival.

Discussion

The present results show a significant association between PSADT and prognosis in Japanese patients with nmCRPC. The survival tree identified an optimal PSADT cutoff value of 2.85 months for PFS and 4.65 months for OS and CSS. Furthermore, patients with nmCRPC treated with NHT showed prolonged PFS and PFS2 compared to those treated with Vintage. In contrast, no significant difference was observed between the two groups in terms of OS or CSS. The current data indicate the prognostic value of PSADT and the prognostic advantage of NHT over Vintage for PFS and PFS2 among Japanese patients with nmCRPC.

Previous evidence has indicated that PSA kinetics are associated with the risk of disease progression and mortality among patients with nmCRPC. Higher baseline PSA and shorter PSADT were associated with shorter time to bone metastasis-free survival (BMFS) and mortality among 201 nmCRPC patients11. Among 331 patients with nmCRPC, higher baseline PSA and higher PSA velocity were associated with shorter OS and shorter BMFS12. In the denosumab study, analysis of the placebo arm demonstrated that a PSADT of < 8 months was associated with BMFS and OS. PSADT ≤ 10 months and PSADT ≤ 6 months were associated with shortening of BMFS and OS by 3 and 7 months, respectively; however, baseline PSA was not associated with BMFS8,13. Although cut-off value was 4.65 montsh, the current study also demonstrated that PSADT remained an independent prognostic factor for PFS, OS, and CSS, whereas PSA level did not. PSADT appears to be a key predictor of prognosis in Japanese patients with nmCRPC.

Japan has a relatively unique history of hormonal treatment of prostate cancer. Patients were prescribed 80 mg bicalutamide, which is higher than the 50 mg prescribed in Western countries. The prognosis of prostate cancer patients treated with Vintage androgen deprivation therapy is better than that of patients in Western countries13. Previous phase 3, double-blind, randomized trials have demonstrated that combined androgen blockade of bicalutamide 80 mg plus an LH-RH agonist prolonged treatment failure, time to progression, and OS compared to LH-RH monotherapy in patients with locally advanced prostate cancer without metastasis9,14. However, no survival advantage has been observed for combined androgen blockade over LH-RH monotherapy in metastatic hormone-sensitive prostate cancer9,14. Therefore, the non-metastatic stage of prostate cancer has been regarded as the main target of vintage. Recent sub-analyses of global clinical trials and real-world data of Japanese nmCRPC patients have also demonstrated the prognostic significance of NHT in terms of PFS and metastasis-free survival10,15, but its effect on overall survival has not been documented. The present study demonstrated the outcomes of OS and CSS for the first time in a large Japanese population with nmCRPC. Our data indicate the advantages of NHT over Vintage for PFS and PFS2, but not for OS and CSS. In the present study, the median PFS and OS in the non-NHT group (Vintage) were 6.0 and 76.7 months, respectively, among patients with PSADT ≤ 10 months. When compared with previous global clinical trials, the current data show an increase of 2 months in PFS and 20 months in OS57. In this study, median follow-up period was 33 months, which was shorter than the follow-up period in the SPARTAN study (Apalutamide: 52 months), PROSPER study (Enzalutamide: 48 months) and comparable to the ARAMIS study (Darolutamide: 29 months). Further follow-up is required to objectively assess the long-term outcomes in patients with nmCRPC. We are currently preparing follow-up study of nmCRPC by Japanese Urological Oncology Group (JUOG).

Survival tree has been applied to the treatment of various cancers1618. Compared with conventional statistical analysis, a survival tree can handle greater amounts of data and comprehend the rules and patterns behind the data17,18. In the field of prostate cancer, radiographic images and diagnostic accuracy have been examined using machine learning and Python19,20; however, the prognostic factors of localized and metastatic prostate cancer, especially during androgen deprivation therapy, have not been well studied. To optimize the prognostic cutoff value of PSADT, we used a survival tree by Python. We identified a PSADT of 2.35 months for PFS and 4.65 months for OS/CSS. Among all clinical factors, including baseline PSA level, the cutoff value of PSADT was the only independent prognostic factor. Although PSADT < 4.65 months was identified as an unfavorable prognostic factor for nmCRPC, no significant difference in OS/CSS was observed between NHT and Vintage, even within this group. A recent study reported that PSMA-PET identified nearly 55% of metastases among patients with nmCRPC who were diagnosed using conventional imaging8. Metastatic-directed therapy may have a further prognostic advantage among high-risk nmCRPC patients21.

The present study has several limitations. First, we conducted a retrospective analysis and included only a limited number of patients. Second, metastasis-free survival could not be assessed due to heterogeneity and a lack of consensus in identifying radiographic progression in a real-world setting. Third, the detailed information related to the types of salvage therapies, after the recurrence of primary treatment, such as application of salvage radiation therapy after radical prostatectomy, were not assessed in this study. Fourth, the median follow-up was 32.7 months, which limits the precise assessment of long-term outcomes in patients with prostate cancer. Further follow-up analysis of currently registered patients is in progress. In conclusion, PSADT is significantly associated with the prognosis of Japanese patients with nmCRPC. In particular, a PSADT cut-off of 4.65 months may be used to identify the poor prognosis group and personalize treatment strategies. Further follow-up will elucidate the long-term outcomes of Japanese nmCRPC.

Methods

Patients and clinical variables

This retrospective study analyzed the data of 450 of 515 patients who were treated for nmCRPC collected from 25 hospitals in collaboration with the Japanese Urological Oncology Group (JUOG). Sixty-five cases were excluded from the analysis due to duplicate data, missing treatment information, or missing recurrence information. The primary endpoint was overall survival (OS), and the secondary endpoints were cancer-specific survival (CSS), PSA level, progression-free survival (PFS), and time to second progression or death (PFS2)5. Patients were subdivided into Vintage and NHT groups. The Vintage group included patients who received bicalutamide, flutamide, LH-RH therapy, and surgical castration. The NHT group included patients who received abiraterone, apalutamide, enzalutamide, or darolutamide. Seven patients treated with docetaxel were included in the NHT group. Progression was determined on the basis of PSA progression, radiographic progression, or death. PSA progression was determined based on the definition of PCWG322,23.

Statistical analysis

Univariate and multivariate Cox proportional models and the Kaplan–Meier method were used for predictive analyses. The log-rank test was used for the statistical comparison of groups using the Kaplan–Meier method. Fisher’s exact test was used to analyze the association between Vintage and NHT groups. P-values were set at significance levels of ≤ 0.05 and marginal significance levels of ≤ 0.10. Statistical computations were performed using the JMP Pro 15 software (SAS Institute, Cary, NC, USA). Propensity score-matched analysis was performed based on factors including age, PSA, and Gleason Score.

Determination of optimal PSADT using survival tree

The optimal cutoff value for PSADT was identified using a survival tree, as described previously23. Briefly, a survival tree predicts the cumulative hazard function after considering survival time and censoring data. It calculates the case hazard function by majority voting over decision trees that predict survival. The threshold value of each node feature amount was calculated to maximize the difference in hazard between cases. We adopted the value of PSADT calculated in this manner as the threshold. The time-dependent area under the curve (AUC) was compared between median cut-off and the identified cut-off of PSADT.

Ethical approval

This study was approved by the Institutional Review Board (IRB) of Chiba University Hospital (approval No. 4221) and the regional medical research review boards of all 24 hospitals participating in JUOG. Informed consent was waived by IRB (Institutional Review Board of Chiba University Hospital) due to the retrospective nature of the study. The present study was conducted in accordance with ethical standards that promote and ensure respect and integrity for all human subjects and the Declaration of Helsinki. All studies were performed in accordance with relevant named guidelines and regulations.

Supplementary Information

Supplementary Information. (338.9KB, docx)

Acknowledgements

We wish to thank the members of the Japanese Urological Oncology Group (JUOG) for supporting the data collection and coordinating ethical approval. We also thank Akira Kurozumi from the department of Urology, Asahi General Hospital, Akinori Takei and Satoshi Fukasawa from the Department of Urology, Funabashi Municipal Medical Center, Koichiro Akakura, Hiroki Kito from the Department of Urology, Japan Community Health Care Organization, Hiroki Watanabe, Takahiro Shimizu, Satoshi Yamamoto and Kazuyoshi Nakamura from the Department of Urology, Kimitsu Chuo Hospital for supporting data collection and coordinating ethical approval. We extend special thanks to the Department of Urology, Chiba University School of Medicine, for their technical assistance. We also thank Lim Jasmine from the Department of Surgery, Faculty of Medicine, University of Malaya, for scientific advice.

Abbreviations

AR

Androgen receptor

NHT

Novel hormonal therapy

CRPC

Castration-resistant prostate cancer

nmCRPC

Nonmetastatic castration-resistant prostate cancer

PSA

Prostate-specific antigen

PSADT

PSA doubling time

PS match

Propensity score match

Vintage

Vintage nonsteroidal antiandrogen agent

OS

Overall survival

PFS

Progression-free survival

CSS

Cancer-specific survival

LH-RH

Luteinizing hormone-releasing hormone

Author contributions

KS, TK, YM, YS, KH, HM, SN, JM, RM, TK, TS, RT, MS, JA, NT, SS, TK, ST, YY, NN, YT and TK contributed to the design and implementation of the research, EK, KS, and SS to the analysis of the results and to the writing of the manuscript. HK, and TI conceived the original and supervised the project. KS and EK performed a survival tree analysis.

Funding

The present study was supported by grants from the Grant-in-Aid for Scientific Research (KAKENHI) (20H03813 to TI, and 20K09555 to SS).

Data availability

The data that support the findings of this study are available from the Japanese Urological Oncology Group (JUOG), but restrictions apply to the availability of these data, which were used under license for the current study and so are not publicly available. The data are, however, available from the authors upon reasonable request and with the permission of the Japanese Urological Oncology Group (JUOG). The contact should be made to a corresponding author: Shinichi Sakamoto, E-mail: rbatbat1@chiba-u.jp, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuou-ku, Chiba, Japan.

Competing interests

Shinichi Sakamoto received honoraria from Janssen Inc. Shintaro Narita received honoraria from Janssen, and AstraZeneca Inc. Masaki Shiota received honoraria from Janssen, AstraZeneca, Astellas, Sanofi, and Bayer Inc. and research funding support from Daiichi Sankyo Inc. Takahiro Kimura received honoraria from Astellas, AstraZeneca, Bayer, Janssen, Sanofi, and Takeda Inc. Hiroshi Kitamura received honoraria from Astellas, AstraZeneca, Janssen, Sanofi, and Takeda Inc. and research grant from AstraZeneca Inc. Kohei Hashimoto received honoraria from Astellas, Janssen, Bayer and AstraZeneca Inc. Naoki Terada received honoraria from Janssen, Astellas and Bayer Inc. Hideaki Miyake received honoraria from Astellas, Bayer, Janssen, Sanofi, and Takeda Inc. Akira Joraku, Eiryo Kawakami, Jun Miki, Kodai Sato, Naotaka Nishiyama, Ryotaro Tomida, Ryuji Matsumoto, Shigetaka Suekane, Shuichi Tatarano, Takayuki Yoshino, Takuma Kato, Tomohiko Ichikawa, Tomoyuki Kaneko, Toshihiro Saito, Yoshiyuki Matsui, Yuko Yoshio, Yusuke Shiraishi have no conflict of interest to disclose.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-024-65969-3.

References

  • 1.Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J. Clin. 2022;72:7–33. doi: 10.3322/caac.21708. [DOI] [PubMed] [Google Scholar]
  • 2.Baba, H. et al. Tumor location and a tumor volume over 2.8 cc predict the prognosis for Japanese localized prostate cancer. Cancers (Basel)14, 5823 (2022). [DOI] [PMC free article] [PubMed]
  • 3.Takeuchi N, et al. biparametric prostate imaging reporting and data system version2 and international society of urological pathology grade predict biochemical recurrence after radical prostatectomy. Clin. Genitourin. Cancer. 2018;16:e817–e829. doi: 10.1016/j.clgc.2018.02.011. [DOI] [PubMed] [Google Scholar]
  • 4.Suzuki H, et al. Alternative nonsteroidal antiandrogen therapy for advanced prostate cancer that relapsed after initial maximum androgen blockade. J. Urol. 2008;180:921–927. doi: 10.1016/j.juro.2008.05.045. [DOI] [PubMed] [Google Scholar]
  • 5.Smith MR, et al. Apalutamide treatment and metastasis-free survival in prostate cancer. N. Engl. J. Med. 2018;378:1408–1418. doi: 10.1056/NEJMoa1715546. [DOI] [PubMed] [Google Scholar]
  • 6.Sternberg CN, et al. Enzalutamide and survival in nonmetastatic, castration-resistant prostate cancer. N. Engl. J. Med. 2020;382:2197–2206. doi: 10.1056/NEJMoa2003892. [DOI] [PubMed] [Google Scholar]
  • 7.Fizazi K, et al. Darolutamide in nonmetastatic, castration-resistant prostate cancer. N. Engl. J. Med. 2019;380:1235–1246. doi: 10.1056/NEJMoa1815671. [DOI] [PubMed] [Google Scholar]
  • 8.Smith MR, et al. Denosumab and bone metastasis-free survival in men with nonmetastatic castration-resistant prostate cancer: Exploratory analyses by baseline prostate-specific antigen doubling time. J. Clin. Oncol. 2013;31:3800–3806. doi: 10.1200/JCO.2012.44.6716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Akaza H, et al. Combined androgen blockade with bicalutamide for advanced prostate cancer. Cancer. 2009;115:3437–3445. doi: 10.1002/cncr.24395. [DOI] [PubMed] [Google Scholar]
  • 10.Uemura H, et al. Efficacy and safety of apalutamide in Japanese patients with nonmetastatic castration-resistant prostate cancer: a subgroup analysis of a randomized, double-blind, placebo-controlled, Phase-3 study. Prostate Int. 2020;8:190–197. doi: 10.1016/j.prnil.2020.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Smith MR, et al. Natural history of rising serum prostate-specific antigen in men with castrate nonmetastatic prostate cancer. J. Clin. Oncol. 2005;23:2918–2925. doi: 10.1200/JCO.2005.01.529. [DOI] [PubMed] [Google Scholar]
  • 12.Smith MR, Cook R, Lee K-A, Nelson JB. Disease and host characteristics as predictors of time to first bone metastasis and death in men with progressive castration-resistant nonmetastatic prostate cancer. Cancer. 2011;117:2077–2085. doi: 10.1002/cncr.25762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kanesaka M, et al. Revision of CHAARTED and LATITUDE criteria among Japanese de novo metastatic prostate cancer patients. Prostate Int. 2021;9:208–214. doi: 10.1016/j.prnil.2021.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Usami M, et al. Bicalutamide 80 mg combined with a luteinizing hormone-releasing hormone agonist (LHRH-A) versus LHRH-A monotherapy in advanced prostate cancer: Findings from a phase III randomized, double-blind, multicenter trial in Japanese patients. Prostate Cancer Prostatic Dis. 2007;10:194–201. doi: 10.1038/sj.pcan.4500934. [DOI] [PubMed] [Google Scholar]
  • 15.Yokomizo A, et al. Real-world use of enzalutamide in men with nonmetastatic castration-resistant prostate cancer in Japan. Int. J. Clin. Oncol. 2022;27:418–426. doi: 10.1007/s10147-021-02070-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Zhu, W., Xie, L., Han, J. & Guo, X. The application of deep learning in cancer prognosis prediction. Cancers (Basel)12, 603 (2020). [DOI] [PMC free article] [PubMed]
  • 17.Rakha EA, Reis-Filho JS, Ellis IO. Combinatorial biomarker expression in breast cancer. Breast Cancer Res. Treat. 2010;120:293–308. doi: 10.1007/s10549-010-0746-x. [DOI] [PubMed] [Google Scholar]
  • 18.Kourou K, Exarchos TP, Exarchos KP, Karamouzis MV, Fotiadis DI. Machine learning applications in cancer prognosis and prediction. Comput. Struct. Biotechnol. J. 2015;13:8–17. doi: 10.1016/j.csbj.2014.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Liu H, et al. Predicting prostate cancer upgrading of biopsy gleason grade group at radical prostatectomy using machine learning-assisted decision-support models. Cancer Manag. Res. 2020;12:13099–13110. doi: 10.2147/CMAR.S286167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Bulten W, et al. Automated deep-learning system for Gleason grading of prostate cancer using biopsies: A diagnostic study. Lancet Oncol. 2020;21:233–241. doi: 10.1016/S1470-2045(19)30739-9. [DOI] [PubMed] [Google Scholar]
  • 21.Rogowski P, et al. Radiotherapy of oligometastatic prostate cancer: A systematic review. Radiat. Oncol. 2021;16:50. doi: 10.1186/s13014-021-01776-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Scher HI, et al. Trial design and objectives for castration-resistant prostate cancer: Updated recommendations from the prostate cancer clinical trials working group 3. J. Clin. Oncol. 2016;34:1402–1418. doi: 10.1200/JCO.2015.64.2702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Saito S, et al. Machine-learning predicts time-series prognosis factors in metastatic prostate cancer patients treated with androgen deprivation therapy. Sci. Rep. 2023;13:6325. doi: 10.1038/s41598-023-32987-6. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information. (338.9KB, docx)

Data Availability Statement

The data that support the findings of this study are available from the Japanese Urological Oncology Group (JUOG), but restrictions apply to the availability of these data, which were used under license for the current study and so are not publicly available. The data are, however, available from the authors upon reasonable request and with the permission of the Japanese Urological Oncology Group (JUOG). The contact should be made to a corresponding author: Shinichi Sakamoto, E-mail: rbatbat1@chiba-u.jp, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuou-ku, Chiba, Japan.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES