Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea.
BMC Cancer. 2017 Aug 10;17(1):535. doi: 10.1186/s12885-017-3525-9.
Patient-derived xenograft (PDX) models are important tools in precision medicine and for the development of targeted therapies to treat cancer patients. This study aimed to evaluate our precision medicine strategy that integrates genomic profiling and preclinical drug-screening platforms, in order to personalize cancer treatments using PDX models.
We performed array-comparative genomic hybridization, microarray, and targeted next-generation sequencing analyses, in order to determine the oncogenic driver mutations. PDX cells were obtained from PDXs and subsequently screened in vitro with 17 targeted agents.
PDX tumors recapitulated the histopathologic and genetic features of the patient tumors. Among the samples from lung cancer patients that were molecularly-profiled, copy number analysis identified unique focal MET amplification in one sample, 033 T, without RTK/RAS/RAF oncogene mutations. Although HER2 amplification in 033 T was not detected in the cancer panel, the selection of HER2-amplified clones was found in PDXs and PDX cells. Additionally, MET and HER2 overexpression were found in patient tumors, PDXs, and PDX cells. Crizotinib or EGFR tyrosine kinase inhibitor treatments significantly inhibited cell growth and impaired tumor sphere formation in 033 T PDX cells.
We established PDX cell models using surgical samples from lung cancer patients, and investigated their preclinical and clinical implications for personalized targeted therapy. Additionally, we suggest that MET and EGFR inhibitor-based therapy can be used to treat MET and HER2-overexpressing lung cancers, without receptor tyrosine kinase /RAS/RAF pathway alterations.
患者来源的异种移植(PDX)模型是精准医学和开发靶向治疗癌症患者的重要工具。本研究旨在评估我们的精准医学策略,该策略整合了基因组分析和临床前药物筛选平台,以使用 PDX 模型为癌症患者提供个性化治疗。
我们进行了 array-comparative 基因组杂交、微阵列和靶向下一代测序分析,以确定致癌驱动突变。从 PDX 中获得 PDX 细胞,并随后在体外用 17 种靶向药物进行筛选。
PDX 肿瘤再现了患者肿瘤的组织病理学和遗传特征。在进行分子分析的肺癌患者样本中,拷贝数分析在一个样本 033T 中发现了独特的局部 MET 扩增,没有 RTK/RAS/RAF 致癌基因突变。虽然在癌症panel 中未检测到 033T 中的 HER2 扩增,但在 PDX 和 PDX 细胞中发现了 HER2 扩增克隆的选择。此外,患者肿瘤、PDX 和 PDX 细胞中均存在 MET 和 HER2 过表达。克唑替尼或 EGFR 酪氨酸激酶抑制剂治疗显著抑制了 033T PDX 细胞的生长并损害了肿瘤球体形成。
我们使用来自肺癌患者的手术样本建立了 PDX 细胞模型,并研究了它们在个性化靶向治疗中的临床前和临床意义。此外,我们建议基于 MET 和 EGFR 抑制剂的治疗可用于治疗 MET 和 HER2 过表达的肺癌,而不会改变受体酪氨酸激酶/RAS/RAF 通路。