Novartis Institutes for BioMedical Research, Inc, Cambridge, Massachusetts.
Novartis Pharmaceuticals Corporation, East Hanover, New Jersey.
Clin Cancer Res. 2015 Feb 1;21(3):585-93. doi: 10.1158/1078-0432.CCR-13-1711. Epub 2014 Dec 3.
Distinct molecular subgroups of medulloblastoma, including hedgehog (Hh) pathway-activated disease, have been reported. We identified and clinically validated a five-gene Hh signature assay that can be used to preselect patients with Hh pathway-activated medulloblastoma.
Gene characteristics of the Hh medulloblastoma subgroup were identified through published bioinformatic analyses. Thirty-two genes shown to be differentially expressed in fresh-frozen and formalin-fixed paraffin-embedded tumor samples and reproducibly analyzed by RT-PCR were measured in matched samples. These data formed the basis for building a multi-gene logistic regression model derived through elastic net methods from which the five-gene Hh signature emerged after multiple iterations. On the basis of signature gene expression levels, the model computed a propensity score to determine Hh activation using a threshold set a priori. The association between Hh activation status and tumor response to the Hh pathway inhibitor sonidegib (LDE225) was analyzed.
Five differentially expressed genes in medulloblastoma (GLI1, SPHK1, SHROOM2, PDLIM3, and OTX2) were found to associate with Hh pathway activation status. In an independent validation study, Hh activation status of 25 medulloblastoma samples showed 100% concordance between the five-gene signature and Affymetrix profiling. Further, in medulloblastoma samples from 50 patients treated with sonidegib, all 6 patients who responded were found to have Hh-activated tumors. Three patients with Hh-activated tumors had stable or progressive disease. No patients with Hh-nonactivated tumors responded.
This five-gene Hh signature can robustly identify Hh-activated medulloblastoma and may be used to preselect patients who might benefit from sonidegib treatment.
已报道,髓母细胞瘤存在不同的分子亚群,包括 Hedgehog(Hh)通路激活疾病。我们鉴定并临床验证了一种五基因 Hh 特征检测,可用于预先选择 Hh 通路激活型髓母细胞瘤患者。
通过发表的生物信息学分析,确定 Hh 髓母细胞瘤亚群的基因特征。在新鲜冷冻和福尔马林固定石蜡包埋肿瘤样本中差异表达的 32 个基因,以及通过 RT-PCR 进行了可重复分析,在匹配样本中进行了测量。这些数据构成了构建多基因逻辑回归模型的基础,该模型通过弹性网络方法从多个迭代中得出了五基因 Hh 特征。基于特征基因表达水平,该模型通过预设阈值计算倾向评分来确定 Hh 激活情况。分析 Hh 激活状态与肿瘤对 Hh 通路抑制剂 sonidegib(LDE225)反应之间的关系。
在髓母细胞瘤中发现 5 个差异表达的基因(GLI1、SPHK1、SHROOM2、PDLIM3 和 OTX2)与 Hh 通路激活状态相关。在独立的验证研究中,25 例髓母细胞瘤样本的 Hh 激活状态在五基因特征和 Affymetrix 分析之间显示出 100%的一致性。此外,在 50 例接受 sonidegib 治疗的髓母细胞瘤样本中,所有 6 例对治疗有反应的患者均发现 Hh 激活肿瘤。3 例 Hh 激活肿瘤患者病情稳定或进展。无 Hh 非激活肿瘤患者有反应。
这种五基因 Hh 特征可可靠地识别 Hh 激活的髓母细胞瘤,并且可能用于预先选择可能从 sonidegib 治疗中受益的患者。