Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Clin Cancer Res. 2019 May 15;25(10):3141-3151. doi: 10.1158/1078-0432.CCR-18-2953. Epub 2019 Feb 8.
Thyroid cancer cell lines are valuable models but have been neglected in pancancer genomic studies. Moreover, their misidentification has been a significant problem. We aim to provide a validated dataset for thyroid cancer researchers.
We performed next-generation sequencing (NGS) and analyzed the transcriptome of 60 authenticated thyroid cell lines and compared our findings with the known genomic defects in human thyroid cancers.
Unsupervised transcriptomic analysis showed that 94% of thyroid cell lines clustered distinctly from other lineages. Thyroid cancer cell line mutations recapitulate those found in primary tumors (e.g., , , or gene fusions). Mutations in the promoter (83%) and (71%) were highly prevalent. There were frequent alterations in , , and of members of the SWI/SNF chromatin remodeling complex, mismatch repair, cell-cycle checkpoint, and histone methyl- and acetyltransferase functional groups. Copy number alterations (CNA) were more prevalent in cell lines derived from advanced versus differentiated cancers, as reported in primary tumors, although the precise CNAs were only partially recapitulated. Transcriptomic analysis showed that all cell lines were profoundly dedifferentiated, regardless of their derivation, making them good models for advanced disease. However, they maintained the BRAF versus RAS-dependent consequences on MAPK transcriptional output, which correlated with differential sensitivity to MEK inhibitors. Paired primary tumor-cell line samples showed high concordance of mutations. Complete loss of p53 function in heterozygous tumors was the most prominent event selected during immortalization.
This cell line resource will help inform future preclinical studies exploring tumor-specific dependencies.
甲状腺癌细胞系是有价值的模型,但在泛癌基因组研究中被忽视了。此外,它们的错误鉴定一直是一个重大问题。我们旨在为甲状腺癌研究人员提供经过验证的数据集。
我们进行了下一代测序(NGS),并分析了 60 种经过验证的甲状腺细胞系的转录组,将我们的发现与人类甲状腺癌的已知基因组缺陷进行了比较。
无监督转录组分析表明,94%的甲状腺细胞系与其他谱系明显聚类不同。甲状腺癌细胞系的突变重现了原发性肿瘤中的突变(例如,、、或基因融合)。 启动子(83%)和 (71%)中的突变非常普遍。SWI/SNF 染色质重塑复合物、错配修复、细胞周期检查点和组蛋白甲基化和乙酰转移酶功能组的成员中经常发生改变。与原发性肿瘤报告的情况一样,源自晚期而非分化型癌症的细胞系中更常见拷贝数改变(CNA),尽管精确的 CNA 仅部分重现。转录组分析表明,所有细胞系都严重去分化,无论其来源如何,使其成为晚期疾病的良好模型。然而,它们保持了 BRAF 与 RAS 对 MAPK 转录输出的依赖性,这与对 MEK 抑制剂的不同敏感性相关。配对的原发性肿瘤-细胞系样本显示出突变的高度一致性。在 杂合性肿瘤中完全丧失 p53 功能是在永生化过程中选择的最突出事件。
该细胞系资源将有助于为探索肿瘤特异性依赖性的未来临床前研究提供信息。