Performance of amplicon-based next generation DNA sequencing for diagnostic gene mutation profiling in oncopathology

被引:44
作者
Sie, Daoud [1 ]
Snijders, Peter J. F. [1 ]
Meijer, Gerrit A. [1 ]
Doeleman, Marije W. [1 ]
van Moorsel, Marinda I. H. [1 ]
van Essen, Hendrik F. [1 ]
Eijk, Paul P. [1 ]
Grunberg, Katrien [1 ]
van Grieken, Nicole C. T. [1 ]
Thunnissen, Erik [1 ]
Verheul, Henk M. [2 ]
Smit, Egbert F. [2 ]
Ylstra, Bauke [1 ]
Heideman, Danielle A. M. [1 ]
机构
[1] Vrije Univ Amsterdam Med Ctr, Dept Pathol, NL-1007 MB Amsterdam, Netherlands
[2] Vrije Univ Amsterdam Med Ctr, NL-1007 MB Amsterdam, Netherlands
关键词
Molecular pathology; FFPE; Cancer; Somatic mutation; Validation; MPS; LUNG-CANCER; ARTIFACTS; ASSAY; EGFR;
D O I
10.1007/s13402-014-0196-2
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Next generation DNA sequencing (NGS) holds promise for diagnostic applications, yet implementation in routine molecular pathology practice requires performance evaluation on DNA derived from routine formalin-fixed paraffin-embedded (FFPE) tissue specimens. The current study presents a comprehensive analysis of TruSeq Amplicon Cancer Panel-based NGS using a MiSeq Personal sequencer (TSACP-MiSeq-NGS) for somatic mutation profiling. TSACP-MiSeq-NGS (testing 212 hotspot mutation amplicons of 48 genes) and a data analysis pipeline were evaluated in a retrospective learning/test set approach (n = 58/n = 45 FFPE-tumor DNA samples) against 'gold standard' high-resolution-melting (HRM)-sequencing for the genes KRAS, EGFR, BRAF and PIK3CA. Next, the performance of the validated test algorithm was assessed in an independent, prospective cohort of FFPE-tumor DNA samples (n = 75). In the learning set, a number of minimum parameter settings was defined to decide whether a FFPE-DNA sample is qualified for TSACP-MiSeq-NGS and for calling mutations. The resulting test algorithm revealed 82 % (37/45) compliance to the quality criteria and 95 % (35/37) concordant assay findings for KRAS, EGFR, BRAF and PIK3CA with HRM-sequencing (kappa = 0.92; 95 % CI = 0.81-1.03) in the test set. Subsequent application of the validated test algorithm to the prospective cohort yielded a success rate of 84 % (63/75), and a high concordance with HRM-sequencing (95 % (60/63); kappa = 0.92; 95 % CI = 0.84-1.01). TSACP-MiSeq-NGS detected 77 mutations in 29 additional genes. TSACP-MiSeq-NGS is suitable for diagnostic gene mutation profiling in oncopathology.
引用
收藏
页码:353 / 361
页数:9
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