A multicentre implementation trial of an Artificial Intelligence-driven biomarker to inform Shared decisions for androgen deprivation therapy in men undergoing prostate radiotherapy: the ASTuTE protocol.

IF 3.4 2区 医学 Q2 ONCOLOGY BMC Cancer Pub Date : 2025-02-13 DOI:10.1186/s12885-025-13622-1
Eric Wegener, Michael Ng, Mario Guerrieri, Timothy N Showalter, Jeremy de Leon, Sagar Ramani, Marcus Dreosti, Tee Lim, Bradley Wong, Michael Chao, Kathryn Hogan, Avi Raman, Scott McClintock, Darren Foreman, Matthew Brown, Stephen McCombie, Kevin McMillan, Kieran Beattie, Mark Frydenberg, Lih-Ming Wong, Dickon Hayne, John Yaxley, Phillip Stricker, Jarad Martin
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Abstract

Background: Androgen deprivation therapy (ADT) improves outcomes in men undergoing definitive radiotherapy for prostate cancer but carries significant toxicities. Clinical parameters alone are insufficient to accurately identify patients who will derive the most benefit, highlighting the need for improved patient selection tools to minimize unnecessary exposure to ADT's side effects while ensuring optimal oncological outcomes. The ArteraAI Prostate Test, incorporating a multimodal artificial intelligence (MMAI)-driven digital histopathology-based biomarker, offers prognostic and predictive information to aid in this selection. However, its clinical utility in real-world settings has yet to be measured prospectively.

Methods: This multicentre implementation trial aims to collect real-world data on the use of the previously validated Artera MMAI-driven prognostic and predictive biomarkers in men with intermediate-risk prostate cancer undergoing curative radiotherapy. The prognostic biomarker estimates the 10-year risk of metastasis, while the predictive biomarker determines the likely benefit from short-term ADT (ST-ADT). A total of 800 participants considering ST-ADT in conjunction with curative radiotherapy will be recruited from multiple Australian centers. Eligible patients with intermediate-risk prostate cancer, as defined by the National Comprehensive Cancer Network, will be asked to participate. The primary endpoint is the percentage of patients for whom testing led to a change in the shared ST-ADT recommendation, analyzed using descriptive statistics and McNemar's test comparing recommendations before and after biomarker testing. Secondary endpoints include the impact on quality of life and 5-year disease control, assessed through linkage with the Prostate Cancer Outcomes Registry. The sample size will be re-evaluated at an interim analysis after 200 patients.

Discussion: ASTuTE will determine the impact of a novel prognostic and predictive biomarker on shared decision-making in the short term, and both quality of life and disease control in the medium term. If the biomarker demonstrates a significant impact on treatment decisions, it could lead to more personalized treatment strategies for men with intermediate-risk prostate cancer, potentially reducing overtreatment and improving quality of life. A potential limitation is the variability in clinical practice across different centers inherent in real-world studies.

Trial registration: Australian New Zealand Clinical Trials Registry, ACTRN12623000713695p. Registered 5 July 2023.

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一项人工智能驱动的生物标志物的多中心实施试验,为接受前列腺放疗的男性雄激素剥夺治疗的共同决策提供信息:ASTuTE方案。
背景:雄激素剥夺疗法(ADT)改善了接受前列腺癌放射治疗的男性的预后,但具有显著的毒性。仅凭临床参数不足以准确识别将获得最大益处的患者,因此需要改进患者选择工具,以尽量减少不必要的ADT副作用,同时确保最佳的肿瘤结果。ArteraAI前列腺测试结合了多模态人工智能(MMAI)驱动的数字组织病理学生物标志物,为这种选择提供了预后和预测信息。然而,它在现实世界中的临床应用尚未被前瞻性地测量。方法:这项多中心实施试验旨在收集真实世界的数据,收集先前验证的Artera mmai驱动的预后和预测生物标志物在接受治疗性放疗的中危前列腺癌男性患者中的使用情况。预后生物标志物估计10年转移风险,而预测性生物标志物确定短期ADT (ST-ADT)可能带来的益处。将从澳大利亚多个中心招募800名考虑ST-ADT联合治疗性放疗的参与者。符合条件的中等风险前列腺癌患者,根据国家综合癌症网络的定义,将被要求参加。主要终点是检测导致ST-ADT共享推荐改变的患者百分比,使用描述性统计和McNemar测试比较生物标志物检测前后的推荐。次要终点包括对生活质量和5年疾病控制的影响,通过与前列腺癌结局登记处的联系进行评估。200例患者后,将在中期分析中重新评估样本量。讨论:ASTuTE将确定一种新的预后和预测性生物标志物在短期内对共同决策的影响,以及在中期对生活质量和疾病控制的影响。如果这种生物标记物对治疗决策有重大影响,它可能会为患有中度前列腺癌的男性提供更个性化的治疗策略,从而有可能减少过度治疗并提高生活质量。一个潜在的限制是不同中心的临床实践在现实世界研究中固有的可变性。试验注册:澳大利亚新西兰临床试验注册中心,ACTRN12623000713695p。2023年7月5日注册
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来源期刊
BMC Cancer
BMC Cancer 医学-肿瘤学
CiteScore
6.00
自引率
2.60%
发文量
1204
审稿时长
6.8 months
期刊介绍: BMC Cancer is an open access, peer-reviewed journal that considers articles on all aspects of cancer research, including the pathophysiology, prevention, diagnosis and treatment of cancers. The journal welcomes submissions concerning molecular and cellular biology, genetics, epidemiology, and clinical trials.
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