Bayesian re-analysis of ERA223 and PEACE-3 temporal dynamics and bone protection in radium-223-treated metastatic castration-resistant prostate cancer.
Researchers
Wei Chen, Soichiro Yoshida, Shugo Yajima, Motohiro Fujiwara, Hiroyuki Sato, Akihiro Hirakawa, Hiroshi Fukushima, Yosuke Yasuda, Hajime Tanaka, Yasuhisa Fujii
Abstract
To define the time course of fracture risk with radium-223 in combination with androgen receptor pathway inhibitor (ARPi) therapy and assess the clinical impact of concomitant bone-protective agent (BPA) use on mitigating this risk. An exploratory person-time approximation approach was used to perform a Bayesian re-analysis of the landmark ERA223 and PEACE-3 clinical trials. In ERA223, we estimated interval-specific fracture incidence rate ratios (IRRs) during follow-up to characterize temporal trajectories. Interval-specific analyses were based on an exploratory person-time approximation approach. In PEACE-3, we used published hazard ratios to re-derive posterior distributions of risk ratios, risk differences, and posterior distributions comparing pre- vs post-mandatory BPA fracture incidences. Posterior distributions were modeled with beta-binomial and gamma-Poisson conjugate priors. In the ERA223 population, the fracture excess risk peaked during the first year of treatment, with elevated interval-specific IRRs in the 0-6 month and 6-12 month intervals. In PEACE-3, the treatment-induced fracture burden for the radium-223 combination treatments was lower following requirement of BPA, with the risk ratio (RR) falling from 2.54 (95% credible interval [CrI] = 1.53-4.60) prior to the mandate to 1.46 (95% CrI 0.88-2.49) post-implementation. The addition of BPA prophylaxis demonstrated a synergistic protective effect, yielding a more pronounced reduction in fracture risk within the radium-223 combination arm relative to the ARPi-monotherapy group. Fracture risk was confined to early periods of ERA223 treatment and diminished after the compulsory addition of BPAs in PEACE-3. Due to the limitations of using estimated person-time data and observational comparisons, the findings are best interpreted as descriptive and hypothesis-generating.Source: PubMed (PMID: 42296139)View Original on PubMed