| Literature DB >> 36104667 |
Mikio Sugimoto1, Takuma Kato2, Yoichiro Tohi2, Yosuke Shimizu3, Ryuji Matsumoto4, Takahiro Inoue5, Yutaka Takezawa6, Kimihiko Masui7, Hiroshi Sasaki8, Hiromi Hirama2, Shiro Saito9, Shin Egawa8, Toshiyuki Kamoto10, Satoshi Teramukai11, Shinsuke Kojima12, Takashi Kikuchi12, Yoshiyuki Kakehi2.
Abstract
BACKGROUND: The effect of enzalutamide in patients with non-metastatic castration-resistant prostate cancer after combined androgen blockade, which represents a patient profile similar to real-world clinical practice in Japan, remains unknown. Therefore, we investigate the efficacy and safety of enzalutamide after combined androgen blockade for recurrence following radical treatment in Japanese patients with non-metastatic castration-resistant prostate cancer.Entities:
Keywords: Combined androgen blockade; Enzalutamide; Non-metastatic castration-resistant prostate cancer; Progression-free survival; Radical treatment
Mesh:
Substances:
Year: 2022 PMID: 36104667 PMCID: PMC9476281 DOI: 10.1186/s12894-022-01096-3
Source DB: PubMed Journal: BMC Urol ISSN: 1471-2490 Impact factor: 2.090
Patients characteristics
| N = 64 | ||||
|---|---|---|---|---|
| Age | years | |||
| Mean (SD) | 75.4 | 6.5 | ||
| Median | 76 | |||
| Range | 58–90 | |||
| ECOG performance-status | No. (%) | |||
| 0 | 63 | 98.4 | ||
| 1 | 1 | 1.6 | ||
| TNM classification (cT) | No. (%) | T1a | 1 | 1.6 |
| T1c | 7 | 10.9 | ||
| T2a | 10 | 15.6 | ||
| T2b | 5 | 7.8 | ||
| T2c | 9 | 14.1 | ||
| T3a | 19 | 29.7 | ||
| T3b | 9 | 14.1 | ||
| T4 | 2 | 3.1 | ||
| TX | 2 | 3.1 | ||
| TNM classification (cN) | No. (%) | N0 | 60 | 93.8 |
| N1 | 3 | 4.7 | ||
| NX | 1 | 1.6 | ||
| Gleason score | No. (%) | ≤ 6 | 8 | 12.5 |
| 7 | 18 | 28.1 | ||
| 8 ≤ | 38 | 59.4 | ||
| Serum testosterone | ng/dL | |||
| Mean (SD) | 11.85 | 11.37 | ||
| Median | 10 | |||
| Range | 0.03–47 | |||
| Serum PSA | ng/mL | |||
| Mean (SD) | 6.7 | 7.66 | ||
| Median | 3.95 | |||
| Range | 1.03–35.13 | |||
| History of radical prostatectomy | 29 | 45.3 | ||
| With endocrine therapy | 14 | 48.3 | ||
| TNM classification (pT) | T1c | 1 | 3.4 | |
| T2a | 3 | 10.3 | ||
| T2b | 4 | 13.8 | ||
| T2c | 3 | 10.3 | ||
| T3a | 6 | 20.7 | ||
| T3b | 8 | 27.6 | ||
| T4 | 2 | 6.9 | ||
| TX | 2 | 6.9 | ||
| TNM classification (pN) | N0 | 24 | 82.8 | |
| N1 | 3 | 10.3 | ||
| NX | 2 | 6.9 | ||
| Gleason score | ≤ 6 | 1 | 3.4 | |
| 7 | 8 | 27.6 | ||
| 8 ≤ | 19 | 65.5 | ||
| Missing | 1 | 3.4 | ||
| History of radiation therapy | Yes | 48 | 75.0 | |
| EBRT | 43 | 89.6 | ||
| Brachytherapy | 4 | 8.3 | ||
| EBRT + Brachytherapy | 1 | 2.1 | ||
| with endocrine therapy | 27 | 56.3 | ||
| History of bilateral orchiectomy | 1 | 1.6 | ||
| History of GnRH analogue use | 63 | 98.4 | ||
| History of bicalutamide use | 64 | 100 | ||
| Median administration period | day | 715 | ||
| AWS | yes | 46 | 71.9 | |
| History of flutamide use | 23 | 35.9 | ||
| Median administration period | day | 330 | ||
| AWS | yes | 16 | 25.0 |
AWS Antiandrogen withdrawal syndromes; cN Clinical lymph nodes classification; cT Clinical tumor classification; EBRT External beam radiotherapy; ECOG Eastern cooperative oncology group; GnRH Gonadotropin-releasing hormone; pN Pathological lymph node classification; PSA Prostate-specific antigen; pT Pathological tumor classification; SD Standard deviation
Fig. 1Kaplan–Meier method for PSA-progression-free survival estimation, PSA, prostate-specific antigen; CI, confidence interval.
Fig. 2Kaplan–Meier method for the estimation of a overall survival, b progression-free survival, c metastasis-free survival, and d chemotherapy-free survival. PSA Prostate-specific antigen; CI confidence interval
Fig. 3Relationship between PSA concentrations during the therapy and OS or PFS. Time-series changes in log (PSA) for dead patients in OS (a) and censored or surviving patients (b); Time-series changes in log(PSA) for deceased patients in PFS (c) and censored or survived patients (d); changes in a predicted hazard ratio by log(PSA) for OS (e) and PFS (d) with adjusted AGE to 74, the median age of the patients. The PSA concentrations in the dead (a) and progressed patients (c) failed to decrease sufficiently, and the concentrations increased before ten months. The behaviors of PSA concentration curves were different between event-patients and survived or censored patients. Simulated changes in OS risk (e) and PFS risk (f) for a model case (baseline age 74) show that if the log(PSA) > 1 or PSA > 2.7 ng/mL, then the risk can rapidly increase.