Abdulkader-Nallib Ihab, Cameselle-Teijeiro José Manuel, Lesende-Rodríguez Iván, Pérez-Becerra Raquel, Antúnez-López José Ramón, García-González Jorge, León-Mateos Luis, Sánchez-Ares María
Department of Pathology, Clinical University Hospital of Santiago de Compostela, Health Research Institute of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain.
School of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.
PLoS One. 2025 Jul 1;20(7):e0326336. doi: 10.1371/journal.pone.0326336. eCollection 2025.
The validation of several predictive biomarkers has improved the clinical outcomes of non-small cell lung carcinoma (NSCLC) patients. Single tests do not cover the mutational co-occurrences, so they do not detect other alterations, which in many cases are responsible for disease progression. We describe the development and implementation of a customized next generation sequencing (NGS) panel. We analyzed 236 formalin-fixed paraffin-embedded (FFPE) NSCLC samples from the Clinical University Hospital of Santiago de Compostela (Galicia, Northwest Spain) in 2020. Detection of EGFR, KRAS, NRAS, BRAF mutations and ALK, ROS1 rearrangements were determined by real-time polymerase chain reaction (RT-PCR), immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH). These results were compared with those obtained by the NGS panel to evaluate the performance of the NGS method and to identify potential novel mutations. Ten discrepancies between NGS and the orthogonal methods were found: 2 cases in the EGFR gene, 1 in the KRAS gene, 5 in the BRAF gene and 2 in the ALK gene. The most prevalent pathogenic alterations detected by NGS were: TP53 (48.7%), KRAS (23.7%), STK11 (9.7%), EGFR (8.5%), PIK3CA (5.5%), CDKN2A (4.7%), BRAF (3.4%) and MET exon skipping 14 (3%); rearrangements were found in ALK and RET (3.5% and 1.7%, respectively). 41.5% of NSCLC patients are harbored co-occurring mutations. Our findings confirmed the robustness, sensitivity and specificity of NGS compared to conventional approaches. NGS has a role not only in the detection of actionable alterations (including concurrent mutations), but also in stratifying patients for therapy.
多种预测性生物标志物的验证改善了非小细胞肺癌(NSCLC)患者的临床结局。单一检测无法涵盖共现突变,因此无法检测到其他改变,而在许多情况下这些改变是疾病进展的原因。我们描述了定制的下一代测序(NGS)检测板的开发与应用。2020年,我们分析了来自圣地亚哥德孔波斯特拉大学临床医院(西班牙西北部加利西亚)的236份福尔马林固定石蜡包埋(FFPE)NSCLC样本。通过实时聚合酶链反应(RT-PCR)、免疫组织化学(IHC)和荧光原位杂交(FISH)检测EGFR、KRAS、NRAS、BRAF突变以及ALK、ROS1重排。将这些结果与NGS检测板获得的结果进行比较,以评估NGS方法的性能并识别潜在的新突变。发现NGS与正交方法之间存在10处差异:EGFR基因2例,KRAS基因1例,BRAF基因5例,ALK基因2例。NGS检测到的最常见致病改变为:TP53(48.7%)、KRAS(23.7%)、STK11(9.7%)、EGFR(8.5%)、PIK3CA(5.5%)、CDKN2A(4.7%)、BRAF(3.4%)和MET外显子14跳跃(3%);ALK和RET存在重排(分别为3.5%和1.7%)。41.5%的NSCLC患者存在共现突变。我们的研究结果证实了与传统方法相比,NGS具有稳健性、敏感性和特异性。NGS不仅在检测可操作改变(包括并发突变)方面发挥作用,还在对患者进行治疗分层方面发挥作用。