Multicenter, international, retrospective study of prognostic factors for Ra223

The risk factors for adium-233 dichloride (Ra223) treatment on prognosis remain unclear. We aimed to validate the risk model for a radium-233 dichloride (Ra223) on the prognosis of patients with metastatic castration-resistant prostate cancer (mCRPC). We retrospectively evaluated 345 patients with bone metastases-predominant mCRPC who were treated with Ra223 between August 2016 and October 2023 in Japan and Tiwan (R2D2 study). The primary purpose of the study was to validate the risk model for poor overall survival (OS) and Ra223 6-cycle incompletion. The secondary purpose was development of an international risk model. The risk model for poor OS included three factors: poor performance status, Ra223 6-cycle incompletion, and prostate specific antigen > 10 ng/mL. The risk model for Ra223 6-cycle incompletion included two factors: prior mCRPC treatments > 2 and extend of bone metastasis (EOD) 3-4. Of 345, we selected 71 and 274 patients with mCRPC for the development and validation cohorts, respectively. The number of risk factors (0-1 vs. 2-3) was significantly associated with for poor OS after Ra223 and OS after mCRPC diagnosis in the validation cohort. Our observation suggests that those factors may associate with favorable survival in patients treated with Ra223.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-03-28
DOI
https://doi.org/10.1038/s41598-025-95844-8
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multicenter, international, retrospective study of prognostic factors for Ra223

Shingo Hatakeyama, Hayato Yamamoto, Yen‐Hao Chen, Hao‐Lun Luo et al.
Scientific Reports
Prostate Cancer Treatment and Research
article

Multicenter, international, retrospective study of prognostic factors for Ra223

Shingo Hatakeyama, Hayato Yamamoto, Yen‐Hao Chen, Hao‐Lun Luo, Teppei Okamoto, Yen‐Hsiang Chang, Jotaro Mikami, Yoshiomi Hatayama, Takuya Oishi, Yu‐Li Su, Daichi Sasaki, Nobuaki Ishii, Yen-Ta Chen, Masahiko Aoki, Hideo Kawaguchi, Chikara Οhyama, Ryuma Tanaka, Hung‐Jen Wang
article en

Abstract

The risk factors for adium-233 dichloride (Ra223) treatment on prognosis remain unclear. We aimed to validate the risk model for a radium-233 dichloride (Ra223) on the prognosis of patients with metastatic castration-resistant prostate cancer (mCRPC). We retrospectively evaluated 345 patients with bone metastases-predominant mCRPC who were treated with Ra223 between August 2016 and October 2023 in Japan and Tiwan (R2D2 study). The primary purpose of the study was to validate the risk model for poor overall survival (OS) and Ra223 6-cycle incompletion. The secondary purpose was development of an international risk model. The risk model for poor OS included three factors: poor performance status, Ra223 6-cycle incompletion, and prostate specific antigen > 10 ng/mL. The risk model for Ra223 6-cycle incompletion included two factors: prior mCRPC treatments > 2 and extend of bone metastasis (EOD) 3-4. Of 345, we selected 71 and 274 patients with mCRPC for the development and validation cohorts, respectively. The number of risk factors (0-1 vs. 2-3) was significantly associated with for poor OS after Ra223 and OS after mCRPC diagnosis in the validation cohort. Our observation suggests that those factors may associate with favorable survival in patients treated with Ra223.

Scientific ReportsVol. 15(1)
Hirosaki University (JP), Chang Gung University (TW), Aomori Prefectural Central Hospital (JP), Kaohsiung Chang Gung Memorial Hospital (TW)
Japan Society for the Promotion of Science
Openalex Percentile: Top 91%
Prostate Cancer Treatment and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.