Suppr超能文献

胶质母细胞瘤创新疗法个体化筛查试验(INSIGhT):一项贝叶斯适应性平台试验,旨在为胶质母细胞瘤患者开发精准药物。

Individualized Screening Trial of Innovative Glioblastoma Therapy (INSIGhT): A Bayesian Adaptive Platform Trial to Develop Precision Medicines for Patients With Glioblastoma.

作者信息

Alexander Brian M, Trippa Lorenzo, Gaffey Sarah, Arrillaga-Romany Isabel C, Lee Eudocia Q, Rinne Mikael L, Ahluwalia Manmeet S, Colman Howard, Fell Geoffrey, Galanis Evanthia, de Groot John, Drappatz Jan, Lassman Andrew B, Meredith David M, Nabors L Burt, Santagata Sandro, Schiff David, Welch Mary R, Ligon Keith L, Wen Patrick Y

机构信息

Dana-Farber Cancer Institute, Boston, MA.

Brigham and Women's Hospital, Boston, MA.

出版信息

JCO Precis Oncol. 2019 Mar 27;3. doi: 10.1200/PO.18.00071. eCollection 2019.

Abstract

PURPOSE

Adequately prioritizing the numerous therapies and biomarkers available in late-stage testing for patients with glioblastoma (GBM) requires an efficient clinical testing platform. We developed and implemented INSIGhT (Individualized Screening Trial of Innovative Glioblastoma Therapy) as a novel adaptive platform trial (APT) to develop precision medicine approaches in GBM.

METHODS

INSIGhT compares experimental arms with a common control of standard concurrent temozolomide and radiation therapy followed by adjuvant temozolomide. The primary end point is overall survival. Patients with newly diagnosed unmethylated GBM who are R132H mutation negative and with genomic data available for biomarker grouping are eligible. At the initiation of INSIGhT, three experimental arms (neratinib, abemaciclib, and CC-115), each with a proposed genomic biomarker, are tested simultaneously. Initial randomization is equal across arms. As the trial progresses, randomization probabilities adapt on the basis of accumulating results using Bayesian estimation of the biomarker-specific probability of treatment impact on progression-free survival. Treatment arms may drop because of low probability of treatment impact on overall survival, and new arms may be added. Detailed information on the statistical model and randomization algorithm is provided to stimulate discussion on trial design choices more generally and provide an example for other investigators developing APTs.

CONCLUSION

INSIGhT (NCT02977780) is an ongoing novel biomarker-based, Bayesian APT for patients with newly diagnosed unmethylated GBM. Our goal is to dramatically shorten trial execution timelines while increasing scientific power of results and biomarker discovery using adaptive randomization. We anticipate that trial execution efficiency will also be improved by using the APT format, which allows for the collaborative addition of new experimental arms while retaining the overall trial structure.

摘要

目的

要为胶质母细胞瘤(GBM)患者在晚期测试中众多可用的治疗方法和生物标志物进行充分的优先级排序,需要一个高效的临床试验平台。我们开发并实施了INSIGhT(胶质母细胞瘤创新疗法个体化筛查试验)作为一种新型适应性平台试验(APT),以开发GBM的精准医学方法。

方法

INSIGhT将试验组与标准同步替莫唑胺和放射治疗加辅助替莫唑胺的共同对照组进行比较。主要终点是总生存期。新诊断的未甲基化GBM患者,R132H突变阴性且有可用于生物标志物分组的基因组数据者符合条件。在INSIGhT启动时,同时测试三个试验组(来那替尼、阿贝西利和CC - 115),每个组都有一个提议的基因组生物标志物。初始随机化在各试验组中是均等的。随着试验进展,随机化概率根据累积结果进行调整,使用贝叶斯估计生物标志物特异性治疗对无进展生存期影响的概率。治疗组可能因治疗对总生存期影响的概率低而退出,新的试验组可能会被添加。提供了关于统计模型和随机化算法的详细信息,以更广泛地激发对试验设计选择的讨论,并为其他开展APT的研究人员提供一个范例。

结论

INSIGhT(NCT02977780)是一项正在进行的针对新诊断的未甲基化GBM患者的基于新型生物标志物的贝叶斯APT。我们的目标是大幅缩短试验执行时间,同时通过适应性随机化提高结果的科学效力和生物标志物发现能力。我们预计,采用APT形式也将提高试验执行效率,这种形式允许在保留整体试验结构的同时协作添加新的试验组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ac/7448806/c569760e3577/PO.18.00071f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验