Black Diamond Therapeutics, Inc., New York, New York.
Foundation Medicine, Inc., Cambridge, Massachusetts.
Cancer Res. 2023 May 2;83(9):1531-1542. doi: 10.1158/0008-5472.CAN-21-0940.
Amplification of HER2 can drive the proliferation of cancer cells, and several inhibitors of HER2 have been successfully developed. Recent advances in next-generation sequencing now reveal that HER2 is subject to mutation, with over 2,000 unique variants observed in human cancers. Several examples of oncogenic HER2 mutations have been described, and these primarily occur at allosteric sites outside the ATP-binding site. To identify the full spectrum of oncogenic HER2 driver mutations aside from a few well-studied mutations, we developed mutation-allostery-pharmacology (MAP), an in silico prediction algorithm based on machine learning. By applying this computational approach to 820 single-nucleotide variants, a list of 222 known and potential driver mutations was produced. Of these 222 mutations, 111 were screened by Ba/F3-retrovirus proliferation assays; 37 HER2 mutations were experimentally determined to be driver mutations, comprising 15 previously characterized and 22 newly identified oncogenic mutations. These oncogenic mutations mostly affected allosteric sites in the extracellular domain (ECD), transmembrane domain, and kinase domain of HER2, with only a single mutation in the HER2 orthosteric ATP site. Covalent homodimerization was established as a common mechanism of activation among HER2 ECD allosteric mutations, including the most prevalent HER2 mutation, S310F. Furthermore, HER2 allosteric mutants with enhanced covalent homodimerization were characterized by altered pharmacology that reduces the activity of existing anti-HER2 agents, including the mAb trastuzumab and the tyrosine kinase inhibitor lapatinib. Overall, the MAP-scoring and functional validation analyses provided new insights into the oncogenic activity and therapeutic targeting of HER2 mutations in cancer.
This study identified new oncogenic HER2 allosteric mutations, including ECD mutations that share covalent dimerization as a mechanism of oncogenicity, suggesting the need for novel inhibitors to treat HER2-mutant cancers.
HER2 扩增会驱动癌细胞增殖,目前已经成功开发出多种 HER2 抑制剂。新一代测序的最新进展表明,HER2 会发生突变,在人类癌症中观察到超过 2000 种独特的变体。已经描述了几种致癌的 HER2 突变,这些突变主要发生在 ATP 结合位点以外的变构位点。为了在少数研究充分的突变之外确定致癌的 HER2 驱动突变的全貌,我们开发了突变变构药理学(MAP),这是一种基于机器学习的计算预测算法。通过将这种计算方法应用于 820 个单核苷酸变体,生成了一份包含 222 个已知和潜在驱动突变的列表。在这 222 个突变中,通过 Ba/F3 逆转录病毒增殖测定筛选了 111 个突变;通过实验确定 37 个 HER2 突变是驱动突变,其中包括 15 个先前表征的和 22 个新发现的致癌突变。这些致癌突变主要影响 HER2 的变构外显子域(ECD)、跨膜域和激酶域中的变构位点,只有一个突变位于 HER2 的变构 ATP 位点。共有的激活机制是 HER2 ECD 变构突变的激活机制,包括最常见的 HER2 突变 S310F。此外,具有增强的共价二聚化的 HER2 变构突变体具有改变的药理学特征,降低了现有抗 HER2 药物的活性,包括单克隆抗体曲妥珠单抗和酪氨酸激酶抑制剂拉帕替尼。总的来说,MAP 评分和功能验证分析为癌症中 HER2 突变的致癌活性和治疗靶向提供了新的见解。
这项研究鉴定了新的致癌 HER2 变构突变,包括 ECD 突变,它们具有共有的共价二聚化作为致癌机制,表明需要新的抑制剂来治疗 HER2 突变型癌症。