Kim David, Vanderbilt Chad M, Yang Soo-Ryum, Nandakumar Subhiksha, Nafa Khedoudja, Feratovic Rusmir, Rekhtman Natasha, Rijo Ivelise, Casanova Jacklyn, Yun Anita, Brannon A Rose, Berger Michael F, Ladanyi Marc, Lin Oscar, Arcila Maria E
Department of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nat Commun. 2025 Jan 2;16(1):116. doi: 10.1038/s41467-024-55456-8.
Comprehensive molecular profiling by next-generation sequencing has revolutionized tumor classification and biomarker evaluation. However, routine implementation is challenged by the scant nature of diagnostic material obtained through minimally invasive procedures. Here, we describe our long-term experience in profiling cytology samples with an in-depth assessment of the performance, quality metrics, biomarker identification capabilities, and potential pitfalls. We highlight the impact of several optimization strategies to maximize performance with 4,871 prospectively sequenced clinical cytology samples tested by MSK-IMPACT. Special emphasis is given to the use of residual supernatant cell-free DNA (ScfDNA) as a valuable source of tumor DNA. Overall, cytology samples are similar in performance to surgical samples in identifying clinically relevant genomic alterations, achieving success rates up to 93% with full optimization. While cell block (CB) samples have excellent performance overall, low-level cross-contamination is identified in a small proportion of cases (4.7%), a common pitfall intrinsic to the processing of paraffin blocks, suggesting that more stringent precautions and processing modifications should be considered in quality control initiatives. By contrast ScfDNA samples have negligible contamination. Finally, ScfDNA testing exclusively used as a rescue strategy, delivered successful results in 71% of cases where tumor tissue from CB was depleted.
通过下一代测序进行的全面分子谱分析彻底改变了肿瘤分类和生物标志物评估。然而,通过微创程序获取的诊断材料数量稀少,给常规实施带来了挑战。在此,我们描述了我们在对细胞学样本进行谱分析方面的长期经验,并对性能、质量指标、生物标志物识别能力和潜在陷阱进行了深入评估。我们强调了几种优化策略的影响,以通过MSK-IMPACT检测的4871份前瞻性测序临床细胞学样本最大限度地提高性能。特别强调了使用残留上清游离DNA(ScfDNA)作为肿瘤DNA的宝贵来源。总体而言,细胞学样本在识别临床相关基因组改变方面的性能与手术样本相似,经过全面优化后成功率高达93%。虽然细胞块(CB)样本总体性能优异,但在一小部分病例(4.7%)中发现了低水平的交叉污染,这是石蜡块处理过程中固有的常见陷阱,表明在质量控制措施中应考虑更严格的预防措施和处理改进。相比之下,ScfDNA样本的污染可忽略不计。最后,仅用作挽救策略的ScfDNA检测在71%的CB肿瘤组织耗尽的病例中取得了成功结果。