Department of Pharmacology, Computational Medicine Program, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts.
Clin Cancer Res. 2024 Feb 16;30(4):786-792. doi: 10.1158/1078-0432.CCR-23-0983.
National Cancer Institute Molecular Analysis for Therapy Choice (NCI-MATCH) is a precision medicine basket trial designed to test the effectiveness of treating cancers based on specific genetic changes in patients' tumors, regardless of cancer type. Multiple subprotocols have each tested different targeted therapies matched to specific genetic aberrations. Most subprotocols exhibited low rates of tumor shrinkage as evaluated across all tumor types enrolled. We hypothesized that these results may arise because these precision cancer therapies have tumor type-specific efficacy, as is common among other cancer therapies.
To test the hypothesis that certain tumor types are more sensitive to specific therapies than other tumor types, we applied permutation testing to tumor volume change and progression-free survival data from 10 published NCI-MATCH subprotocols (together n = 435 patients). FDR was controlled by the Benjamini-Hochberg procedure.
Six of ten subprotocols exhibited statistically significant evidence of tumor-specific drug sensitivity, four of which were previously considered negative based on response rate across all tumors. This signal-finding analysis highlights potential uses of FGFR tyrosine kinase inhibition in urothelial carcinomas with actionable FGFR aberrations and MEK inhibition in lung cancers with BRAF non-V600E mutations. In addition, it identifies low-grade serious ovarian carcinoma with BRAF v600E mutation as especially sensitive to BRAF and MEK co-inhibition (dabrafenib plus trametinib), a treatment that received accelerated FDA approval for advanced solid tumors with BRAF v600E mutation.
These findings support the value of basket trials because even when precision medicines do not have tumor-agnostic activity, basket trials can identify tumor-specific activity for future study.
美国国立癌症研究所分子分析用于治疗选择(NCI-MATCH)是一项精准医学篮子试验,旨在根据患者肿瘤中的特定基因变化来测试治疗癌症的有效性,而不论癌症类型如何。多个子方案都测试了针对特定基因异常的不同靶向治疗方法。大多数子方案在所有入组的肿瘤类型中均显示出肿瘤缩小率较低。我们假设这些结果可能是因为这些精准癌症疗法具有肿瘤类型特异性疗效,这在其他癌症疗法中很常见。
为了测试某些肿瘤类型比其他肿瘤类型对特定疗法更敏感的假设,我们对来自 10 个已发表的 NCI-MATCH 子方案的肿瘤体积变化和无进展生存期数据(共 n = 435 例患者)进行了排列检验。通过 Benjamini-Hochberg 程序控制 FDR。
十个子方案中的六个显示出肿瘤特异性药物敏感性的统计学证据,其中四个先前基于所有肿瘤的反应率被认为是阴性的。这种信号发现分析突出了 FGFR 酪氨酸激酶抑制剂在具有可操作 FGFR 异常的尿路上皮癌中的潜在用途,以及在具有 BRAF 非 V600E 突变的肺癌中的 MEK 抑制作用。此外,它确定了具有 BRAF v600E 突变的低级别严重卵巢癌对 BRAF 和 MEK 联合抑制(dabrafenib 加 trametinib)特别敏感,这种治疗方法因 BRAF v600E 突变的晚期实体瘤而获得了 FDA 的加速批准。
这些发现支持篮子试验的价值,因为即使精准药物没有肿瘤不可知的活性,篮子试验也可以为未来的研究确定肿瘤特异性活性。