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国家肺癌矩阵试验:肺癌个体化治疗。

The National Lung Matrix Trial of personalized therapy in lung cancer.

机构信息

Institute of Immunology & Immunotherapy, University of Birmingham, Birmingham, UK.

University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.

出版信息

Nature. 2020 Jul;583(7818):807-812. doi: 10.1038/s41586-020-2481-8. Epub 2020 Jul 15.

Abstract

The majority of targeted therapies for non-small-cell lung cancer (NSCLC) are directed against oncogenic drivers that are more prevalent in patients with light exposure to tobacco smoke. As this group represents around 20% of all patients with lung cancer, the discovery of stratified medicine options for tobacco-associated NSCLC is a high priority. Umbrella trials seek to streamline the investigation of genotype-based treatments by screening tumours for multiple genomic alterations and triaging patients to one of several genotype-matched therapeutic agents. Here we report the current outcomes of 19 drug-biomarker cohorts from the ongoing National Lung Matrix Trial, the largest umbrella trial in NSCLC. We use next-generation sequencing to match patients to appropriate targeted therapies on the basis of their tumour genotype. The Bayesian trial design enables outcome data from open cohorts that are still recruiting to be reported alongside data from closed cohorts. Of the 5,467 patients that were screened, 2,007 were molecularly eligible for entry into the trial, and 302 entered the trial to receive genotype-matched therapy-including 14 that re-registered to the trial for a sequential trial drug. Despite pre-clinical data supporting the drug-biomarker combinations, current evidence shows that a limited number of combinations demonstrate clinically relevant benefits, which remain concentrated in patients with lung cancers that are associated with minimal exposure to tobacco smoke.

摘要

大多数非小细胞肺癌(NSCLC)的靶向治疗针对的是致癌驱动因素,这些驱动因素在轻度暴露于烟草烟雾的患者中更为普遍。由于这一组代表了所有肺癌患者的约 20%,因此发现与烟草相关的 NSCLC 的分层医学选择是当务之急。伞式试验旨在通过筛选肿瘤中的多种基因组改变,并将患者分诊到几种与基因型匹配的治疗药物之一,从而简化基于基因型的治疗方法的研究。在这里,我们报告了正在进行的国家肺癌矩阵试验中 19 个药物生物标志物队列的当前结果,这是 NSCLC 中最大的伞式试验。我们使用下一代测序根据肿瘤基因型将患者与适当的靶向治疗相匹配。贝叶斯试验设计使仍在招募的开放队列的结果数据能够与封闭队列的数据一起报告。在筛选的 5467 名患者中,有 2007 名分子上符合进入试验的条件,有 302 名进入试验接受基因型匹配的治疗,其中包括 14 名因序贯试验药物而重新注册到试验中的患者。尽管有临床前数据支持药物生物标志物组合,但目前的证据表明,只有少数组合显示出具有临床意义的益处,这些益处仍然集中在与烟草暴露最少相关的肺癌患者中。

相似文献

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The National Lung Matrix Trial of personalized therapy in lung cancer.国家肺癌矩阵试验:肺癌个体化治疗。
Nature. 2020 Jul;583(7818):807-812. doi: 10.1038/s41586-020-2481-8. Epub 2020 Jul 15.
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Personalizing therapy in advanced non-small cell lung cancer.晚期非小细胞肺癌的个体化治疗。
Semin Respir Crit Care Med. 2013 Dec;34(6):822-36. doi: 10.1055/s-0033-1358552. Epub 2013 Nov 20.

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