Optimizing Mutation and Fusion Detection in NSCLC by Sequential DNA and RNA Sequencing

被引:81
作者
Cohen, Danielle [1 ]
Hondelink, Liesbeth M. [1 ]
Solleveld-Westerink, Nienke [1 ]
Uljee, Sandra M. [1 ]
Ruano, Dina [1 ]
Cleton-Jansen, Anne-Marie [1 ]
von der Thusen, Jan H. [1 ]
Ramai, S. Rajen S. [2 ]
Postmus, Pieter E. [2 ]
van Roggen, Jacob F. Graadt [3 ]
Hoppe, Bart P. C. [4 ]
Clahsen, Pieter C. [5 ]
Maas, Klaartje W. [6 ]
Ahsmann, Els J. M. [7 ]
ten Heuvel, Alexandra [8 ]
Smedts, Frank [9 ]
van Rossem, Ronald N. [10 ]
van Wezel, Tom [1 ]
机构
[1] Leiden Univ, Med Ctr LUMC, Dept Pathol, Leiden, Netherlands
[2] Leiden Univ, Med Ctr LUMC, Dept Pulmonol, Leiden, Netherlands
[3] Alrijne Hosp, Dept Pathol, Leiderdorp, Netherlands
[4] Alrijne Hosp, Dept Pulmonol, Leiderdorp, Netherlands
[5] Haaglanden Med Ctr HMC, Dept Pathol, The Hague, Netherlands
[6] Haaglanden Med Ctr HMC, Dept Pulmonol, The Hague, Netherlands
[7] Groene Hart Hosp GHZ, Dept Pathol, Gouda, Netherlands
[8] Groene Hart Hosp GHZ, Dept Pulmonol, Gouda, Netherlands
[9] Reinier de Graaf Gasthuis RdGG, Dept Pathol, Delft, Netherlands
[10] Reinier de Graaf Gasthuis RdGG, Dept Pulmonol, Delft, Netherlands
关键词
NSCLC; Molecular diagnostics; RNA sequencing; DNA sequencing; Next-generation sequencing; CELL LUNG-CANCER; GROWTH-FACTOR-RECEPTOR; GENE COPY NUMBER; ANCHORED MULTIPLEX; OPEN-LABEL; MET; MULTICENTER; CRIZOTINIB; ADENOCARCINOMAS; PEMBROLIZUMAB;
D O I
10.1016/j.jtho.2020.01.019
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: Frequently, patients with locally advanced or metastatic NSCLC are screened for mutations and fusions. In most laboratories, molecular workup includes a multitude of tests: immunohistochemistry (ALK, ROS1, and programmed death-ligand 1 testing), DNA sequencing, in situ hybridization for fusion, and amplification detection. With the fast-emerging new drugs targeting specific fusions and exon-skipping events, this procedure harbors a growing risk of tissue exhaustion. Methods: In this study, we evaluated the benefit of anchored, multiplexed, polymerase chain reaction-based targeted RNA sequencing (RNA next-generation sequencing [NGS]) in the identification of gene fusions and exon-skipping events in patients, in which no pathogenic driver mutation was found by DNA-based targeted cancer hotspot NGS (DNA NGS). We analyzed a cohort of stage IV NSCLC cases from both in-house and referral hospitals, consisting 38.5% cytology samples and 61.5% microdissected histology samples, mostly core needle biopsies. We compared molecular findings in a parallel workup (DNA NGS and RNA NGS, cohort 1, n = 198) with a sequential workup (DNA NGS followed by RNA NGS in selected cases, cohort 2, n = 192). We hypothesized the sequential workup to be the more efficient procedure. Results: In both cohorts, a maximum of one oncogenic driver mutation was found per case. This is in concordance with large, whole-genome databases and suggests that it is safe to omit RNA NGS when a clear oncogenic driver is identified in DNA NGS. In addition, this reduced the number of necessary RNA NGS to only 53% of all cases. The tumors of never smokers, however, were enriched for fusions and exon-skipping events (32% versus 4% in former and current smokers, p = 0.00), and therefore benefited more often from the shorter median turnaround time of the parallel approach (15 d versus only 9 d in the parallel workup). Conclusions: We conclude that sequentially combining DNA NGS and RNA NGS is the most efficient strategy for mutation and fusion detection in smoking-associated NSCLC, whereas for never smokers we recommend a parallel approach. This approach was shown to be feasible on small tissue samples including for cytology tests, can drastically reduce the complexity and cost of molecular workup, and also provides flexibility in the constantly evolving landscape of actionable targets in NSCLC. (C) 2020 International Association for the Study of Lung Cancer. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:1000 / 1014
页数:15
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