Gupta Vivek, Vashisht Vishakha, Vashisht Ashutosh, Mondal Ashis K, Alptekin Ahmet, Singh Harmanpreet, Kolhe Ravindra
Department of Pathology, Government Institute of Medical Sciences, Greater Noida 201310, India.
Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Genes (Basel). 2024 Mar 23;15(4):396. doi: 10.3390/genes15040396.
Copy number alterations (CNAs) are significant in tumor initiation and progression. Identifying these aberrations is crucial for targeted therapies and personalized cancer diagnostics. Next-generation sequencing (NGS) methods present advantages in scalability and cost-effectiveness, surpassing limitations associated with reference assemblies and probe capacities in traditional laboratory approaches. This retrospective study evaluated CNAs in 50 FFPE tumor samples (breast cancer, ovarian carcinoma, pancreatic cancer, melanoma, and prostate carcinoma) using Illumina's TruSight Oncology 500 (TSO500) and the Affymetrix Oncoscan Molecular Inversion Probe (OS-MIP) (ThermoFisher Scientific, Waltham, MA, USA). NGS analysis with the NxClinical 6.2 software demonstrated a high sensitivity and specificity (100%) for CNA detection, with a complete concordance rate as compared to the OS-MIP. All 54 known CNAs were identified by NGS, with gains being the most prevalent (63%). Notable CNAs were observed in (18%), (12%), (8%), , , and (6%) genes. The diagnostic parameters exhibited high accuracy, including a positive predictive value, negative predictive value, and overall diagnostic accuracy. This study underscores NxClinical as a reliable software for identifying clinically relevant gene alterations using NGS TSO500, offering valuable insights for personalized cancer treatment strategies based on CNA analysis.
拷贝数改变(CNAs)在肿瘤的发生和发展过程中具有重要意义。识别这些畸变对于靶向治疗和个性化癌症诊断至关重要。新一代测序(NGS)方法在可扩展性和成本效益方面具有优势,克服了传统实验室方法中与参考组装和探针容量相关的局限性。这项回顾性研究使用Illumina公司的TruSight Oncology 500(TSO500)和Affymetrix公司的Oncoscan分子倒置探针(OS-MIP)(美国马萨诸塞州沃尔瑟姆市赛默飞世尔科技公司),对50份福尔马林固定石蜡包埋(FFPE)肿瘤样本(乳腺癌、卵巢癌、胰腺癌、黑色素瘤和前列腺癌)中的CNAs进行了评估。使用NxClinical 6.2软件进行的NGS分析显示,CNA检测具有高灵敏度和特异性(100%),与OS-MIP相比,完全一致率较高。通过NGS识别出了所有54个已知的CNAs,其中增益最为普遍(63%)。在(18%)、(12%)、(8%)、、、和(6%)基因中观察到了显著的CNAs。诊断参数显示出高准确性,包括阳性预测值、阴性预测值和总体诊断准确性。这项研究强调了NxClinical作为一种使用NGS TSO500识别临床相关基因改变的可靠软件,为基于CNA分析的个性化癌症治疗策略提供了有价值的见解。