Wei Jiacong, Rybczynska Anna A, Meng Pei, Terpstra Martijn, Saber Ali, Sietzema Jantine, Timens Wim, Schuuring Ed, Hiltermann T Jeroen N, Groen Harry J M, van der Wekken Anthonie J, van den Berg Anke, Kok Klaas
Department of Genetics, University Medical Centre Groningen, University of Groningen, 9700RB Groningen, The Netherlands.
Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100029, China.
Cancers (Basel). 2020 Oct 1;12(10):2843. doi: 10.3390/cancers12102843.
The number of genomic aberrations known to be relevant in making therapeutic decisions for non-small cell lung cancer patients has increased in the past decade. Multiple molecular tests are required to reliably establish the presence of these aberrations, which is challenging because available tissue specimens are generally small. To optimize diagnostic testing, we developed a transcriptome-based next-generation sequencing (NGS) assay based on single primed enrichment technology. We interrogated 11 cell lines, two patient-derived frozen biopsies, nine pleural effusion, and 29 formalin-fixed paraffin-embedded (FFPE) samples. All clinical samples were selected based on previously identified mutations at the DNA level in or at the DNA level, or fusion genes at the chromosome level, or by aberrant protein expression of , , and . A successful analysis is dependent on the number of unique reads and the RNA quality, as indicated by the DV200 value. In 27 out of 51 samples with >50 K unique reads and a DV200 >30, all 19 single nucleotide variants (SNVs)/small insertions and deletions (INDELs), three exon 14 skipping events, and 13 fusion gene transcripts were detected at the RNA level, giving a test accuracy of 100%. In summary, this lung-cancer-specific all-in-one transcriptome-based assay for the simultaneous detection of mutations and fusion genes is highly sensitive.
在过去十年中,已知与非小细胞肺癌患者治疗决策相关的基因组畸变数量有所增加。为了可靠地确定这些畸变的存在,需要进行多项分子检测,这颇具挑战性,因为可用的组织样本通常较小。为了优化诊断检测,我们基于单引物富集技术开发了一种基于转录组的下一代测序(NGS)检测方法。我们检测了11个细胞系、两份患者来源的冷冻活检样本、9份胸腔积液样本以及29份福尔马林固定石蜡包埋(FFPE)样本。所有临床样本均根据先前在DNA水平上鉴定出的突变、DNA水平上的突变、染色体水平上的融合基因,或根据 、 、 和 的异常蛋白表达来选择。如DV200值所示,成功的分析取决于独特 reads 的数量和RNA质量。在51个具有>50K独特reads且DV200>30的样本中,有27个样本在RNA水平上检测到了所有19个单核苷酸变异(SNV)/小插入和缺失(INDEL)、3个14号外显子跳跃事件以及13个融合基因转录本,检测准确率达100%。总之,这种用于同时检测突变和融合基因的基于肺癌特异性一体化转录组的检测方法具有高度敏感性。