U-Monitor Lda, 4200-135 Porto, Portugal.
Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, 4200-135 Porto, Portugal.
Genes (Basel). 2023 Aug 25;14(9):1693. doi: 10.3390/genes14091693.
Telomerase promoter (TERTp) mutations are frequently observed in various types of tumours and commonly characterised by two specific hotspots located at positions -124 and -146 upstream of the start codon. They enhance activity, resulting in increased TERT expression. In central nervous system (CNS) tumours, they are integrated as biomarkers, aiding in the diagnosis and with a role in prognosis, where, in some settings, they are associated with aggressive behaviour. In this study, we evaluated the performance of TERTmonitor for genotyping in a series of 185 gliomas in comparison to the traditional method, Sanger sequencing. Against the gold-standard Sanger method, TERTmonitor performed with a 97.8% accuracy. Inaccuracy was mainly due to the over-detection of variants in negative cases (by Sanger) and the presence of variants that can modify the chemistry of the probe detection. The distribution of the mutations was comparable to other series, with the -124 being the most represented (38.92% for Sanger and TERTmonitor) and more prevalent in the higher-grade tumours, gliosarcoma (50.00%) and glioblastoma (52.6%). The non-matched cases are debatable, as we may be dealing with the reduced sensitivity of Sanger in detecting rare alleles, which strengthens the use of the TERTmonitor. With this study, we present a reliable and rapid potential tool for genotyping in gliomas.
端粒酶启动子 (TERTp) 突变在各种类型的肿瘤中经常观察到,通常具有两个位于起始密码子上游-124 和-146 位置的特定热点。它们增强了 活性,导致 TERT 表达增加。在中枢神经系统 (CNS) 肿瘤中,它们被整合为生物标志物,有助于诊断,并在预后中发挥作用,在某些情况下,它们与侵袭性行为有关。在这项研究中,我们评估了 TERTmonitor 在 185 例胶质瘤中的基因分型性能,与传统的 Sanger 测序方法进行比较。与金标准 Sanger 方法相比,TERTmonitor 的准确性为 97.8%。不准确主要是由于在阴性病例中(通过 Sanger)过度检测到变体,以及存在可以改变探针检测化学性质的变体。突变的分布与其他系列相似,-124 是最具代表性的(Sanger 和 TERTmonitor 分别为 38.92%),在高级别肿瘤、肉瘤和胶质母细胞瘤中更为普遍(分别为 50.00%和 52.6%)。不匹配的病例是有争议的,因为我们可能处理的是 Sanger 检测稀有等位基因的敏感性降低,这加强了 TERTmonitor 的使用。通过这项研究,我们提出了一种可靠且快速的胶质瘤 基因分型潜在工具。