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UNITED:一种统一、透明且高效的I/II期试验设计,用于考虑有序分级、连续及混合毒性和疗效终点的剂量优化。

UNITED: A Unified Transparent and Efficient Phase I/II Trial Design for Dose Optimization Accounting for Ordinal Graded, Continuous and Mixed Toxicity and Efficacy Endpoints.

作者信息

Li Mingyue, Guo Zhonglong, Qiu Yingjie

机构信息

Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing, China.

出版信息

Stat Med. 2025 May;44(10-12):e70098. doi: 10.1002/sim.70098.

DOI:10.1002/sim.70098
PMID:40384182
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12086506/
Abstract

A primary objective of oncology dose-finding trials for novel therapies is to determine an optimal biological dose (OBD) that is both tolerable and therapeutically beneficial for patients in subsequent clinical trials. These new therapeutic agents are more likely to induce multiple low- or moderate-grade toxicities rather than dose-limiting toxicities. Additionally, efficacy is evaluated comprehensively, differentiating between complete remission and partial remission, as well as incorporating continuous efficacy endpoints. This important issue was highlighted in the American Statistical Association (ASA) Biopharmaceutical (BIOP) Section open forums and was a significant consideration of the FDA's "Project Optimus." We proposed the UNITED design, a unified, transparent, and efficient Phase I/II trial design to incorporate toxicity and efficacy grades and types, as well as continuous efficacy responses, into dose-finding and optimization. The UNITED design can handle binary, quasi-binary, continuous, and mixed toxicity and efficacy endpoints. We further extended the UNITED design, referred to as TITE-UNITED, to accommodate delayed toxicity and efficacy outcomes. Simulation studies showed that the UNITED and TITE-UNITED designs have desirable operating characteristics, performing comparably to or better than existing designs. A user-friendly software is available for practical implementation.

摘要

新型疗法的肿瘤学剂量探索试验的一个主要目标是确定最佳生物学剂量(OBD),该剂量在后续临床试验中对患者而言既耐受又具有治疗益处。这些新治疗药物更有可能引发多种低级别或中级别毒性,而非剂量限制性毒性。此外,会对疗效进行全面评估,区分完全缓解和部分缓解,并纳入连续疗效终点。这一重要问题在美国统计协会(ASA)生物制药(BIOP)分会的公开论坛中得到了强调,也是美国食品药品监督管理局(FDA)“擎天柱计划”的一项重要考量。我们提出了UNITED设计,这是一种统一、透明且高效的I/II期试验设计,将毒性和疗效等级及类型,以及连续疗效反应纳入剂量探索和优化过程。UNITED设计能够处理二元、准二元、连续以及混合的毒性和疗效终点。我们进一步扩展了UNITED设计,即TITE - UNITED,以适应延迟的毒性和疗效结果。模拟研究表明,UNITED和TITE - UNITED设计具有理想的操作特性,其表现与现有设计相当或更优。有一个用户友好型软件可供实际应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8da8/12086506/5d7f4b4b3611/SIM-44-0-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8da8/12086506/f96dfa1e5a57/SIM-44-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8da8/12086506/0ac48cfd5509/SIM-44-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8da8/12086506/5d7f4b4b3611/SIM-44-0-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8da8/12086506/f96dfa1e5a57/SIM-44-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8da8/12086506/0ac48cfd5509/SIM-44-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8da8/12086506/5d7f4b4b3611/SIM-44-0-g003.jpg

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本文引用的文献

1
MT-Keyboard: A Bayesian Model-assisted Interval Design to Account for Toxicity Grades and Types for Phase I Trials.MT键盘:一种用于I期试验中考虑毒性等级和类型的贝叶斯模型辅助区间设计。
Stat Biopharm Res. 2024;16(3):305-314. doi: 10.1080/19466315.2024.2368802. Epub 2024 Jul 31.
2
A Bayesian Dynamic Model-Based Adaptive Design for Oncology Dose Optimization in Phase I/II Clinical Trials.用于I/II期临床试验肿瘤学剂量优化的基于贝叶斯动态模型的自适应设计
Pharm Stat. 2025 Mar-Apr;24(2):e2451. doi: 10.1002/pst.2451. Epub 2024 Nov 10.
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Adaptive phase I-II clinical trial designs identifying optimal biological doses for targeted agents and immunotherapies.
适用于靶向药物和免疫疗法的最佳生物剂量的适应性 I- II 期临床试验设计。
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TITE-gBOIN-ET: Time-to-event generalized Bayesian optimal interval design to accelerate dose-finding accounting for ordinal graded efficacy and toxicity outcomes.TITE-gBOIN-ET:考虑有序分级疗效和毒性结果以加速剂量探索的事件发生时间广义贝叶斯最优区间设计。
Biom J. 2023 Oct;65(7):e2200265. doi: 10.1002/bimj.202200265. Epub 2023 Jun 12.
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Modified isotonic regression based phase I/II clinical trial design identifying optimal biological dose.基于改良等渗回归的 I/II 期临床试验设计,确定最佳生物学剂量。
Contemp Clin Trials. 2023 Apr;127:107139. doi: 10.1016/j.cct.2023.107139. Epub 2023 Mar 2.
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DROID: dose-ranging approach to optimizing dose in oncology drug development.DROID:肿瘤药物研发中优化剂量的剂量范围方法。
Biometrics. 2023 Dec;79(4):2907-2919. doi: 10.1111/biom.13840. Epub 2023 Mar 6.
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gBOIN-ET: The generalized Bayesian optimal interval design for optimal dose-finding accounting for ordinal graded efficacy and toxicity in early clinical trials.gBOIN-ET:考虑序贯分级疗效和毒性的早期临床试验中最优剂量探索的广义贝叶斯最优区间设计。
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A phase Ib/II and pharmacokinetic study of EP0057 (formerly CRLX101) in combination with weekly paclitaxel in patients with recurrent or persistent epithelial ovarian, fallopian tube, or primary peritoneal cancer.EP0057(原 CRLX101)联合每周紫杉醇治疗复发性或持续性上皮性卵巢癌、输卵管癌或原发性腹膜癌患者的 Ib/II 期和药代动力学研究。
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