Bristol Myers Squibb, Princeton, USA.
Division of Cancer Pharmacology I, Office of Clinical Pharmacology, Office of Translational Sciences, CDER, US Food and Drug Administration, Silver Spring, USA.
J Patient Rep Outcomes. 2023 Nov 17;7(1):116. doi: 10.1186/s41687-023-00651-2.
This proof-of-concept retrospective case study investigated whether patient-reported outcomes (PRO) instruments, designed to capture symptomatic adverse event data, could identity a known exposure-response (ER) relationship for safety characterized in an original FDA analysis of an approved anti-cancer agent. PRO instruments have been designed to uniquely quantify the tolerability aspects of exposure-associated symptomatic adverse events. We explored whether standard ER analyses of clinician-reported safety data for symptomatic adverse events could be complemented by ER analysis using PRO data that capture and quantify the tolerability aspects of these same symptomatic adverse events.
Exposure-associated adverse event data for diarrhea were analyzed in parallel in 120 patients enrolled in a clinical trial using physician reported Common Terminology Criteria for Adverse Events (CTCAE) and patient-reported symptomatic adverse event data captured by the National Cancer Institute's (NCI) PRO Common Terminology Criteria for Adverse Events (PRO-CTCAE) instrument. Comparative ER analyses of diarrhea were conducted using the same dataset. Results from the CTCAE and PRO-CTCAE ER analyses were assessed for consistency with the ER relationship for diarrhea established in the original NDA using a 750-patient dataset. The analysis was limited to the 120-patient subset with parallel CTCAE and PRO-CTCAE assessments.
Within the same 120-patient dataset, ER analysis using dense, longitudinal PRO-CTCAE-derived data was sensitive to identify the known ER relationship for diarrhea, whereas the standard CTCAE based ER analysis was not.
ER analysis using PRO assessed symptomatic adverse event data may be a sensitive tool to complement traditional ER analysis. Improved identification of relationships for safety, by including quantification of the tolerability aspect of symptomatic adverse events using PRO instruments, may be useful to improve the sensitivity of exposure response analysis to support early clinical trial dosage optimization strategies, where decision making occurs within limited small patient datasets.
这项概念验证回顾性病例研究旨在探讨患者报告的结局(PRO)工具是否能够识别出原始 FDA 分析中已确定的与安全性相关的已知暴露-反应(ER)关系,该分析针对一种已批准的抗癌药物。PRO 工具旨在独特地量化与暴露相关的症状性不良事件的耐受性方面。我们探讨了是否可以使用 PRO 数据(该数据可以捕获和量化这些相同的症状性不良事件的耐受性方面)对症状性不良事件的临床医生报告的安全性数据进行标准的 ER 分析进行补充,以进行 ER 分析。
使用医生报告的通用不良事件术语标准(CTCAE)和美国国家癌症研究所(NCI)PRO 通用不良事件术语标准(PRO-CTCAE)工具捕获的患者报告的症状性不良事件数据,对 120 名参加临床试验的患者的腹泻相关不良事件数据进行了平行分析。使用相同的数据集进行了腹泻的比较 ER 分析。使用包含来自原始 NDA 的 750 名患者数据集的腹泻 ER 关系的相同数据集评估 CTCAE 和 PRO-CTCAE ER 分析的结果。该分析仅限于具有平行 CTCAE 和 PRO-CTCAE 评估的 120 名患者子集。
在相同的 120 名患者数据集中,使用密集的纵向 PRO-CTCAE 衍生数据进行的 ER 分析能够灵敏地识别腹泻的已知 ER 关系,而基于标准 CTCAE 的 ER 分析则不能。
使用 PRO 评估症状性不良事件数据进行的 ER 分析可能是一种灵敏的工具,可以补充传统的 ER 分析。通过使用 PRO 工具量化症状性不良事件的耐受性方面,可以更好地识别安全性的关系,这可能有助于提高暴露反应分析的灵敏度,以支持早期临床试验剂量优化策略,在这些策略中,决策是在有限的小患者数据集中做出的。