BACKGROUND: Next-generation sequencing (NGS) has been implemented in clinical oncology to analyze multiple genes and to guide targeted therapy; however, little is known about the performance of the Oncomine Dx Target Test compared with conventional single gene tests for detecting EGFR mutations. The objective of this study was to evaluate the performance of the Oncomine Dx Target Test compared with a PNA-LNA PCR clamp test to detect EGFR mutations. METHODS: We retrospectively reviewed consecutive patients with non-small cell lung cancer (NSCLC) from whom FFPE samples were simultaneously submitted for the Oncomine Dx Target Test, and a PNA-LNA PCR clamp test using the same specimen. We subsequently compared the analysis success rates and detection rates between the two tests. RESULTS: A total of 116 samples were identified. The success rates and detection rates of EGFR mutations in the total number of samples were 90% and 28%, respectively for the Oncomine Dx Target Test, and 100% and 35% for the PNA-LNA PCR clamp test. The Oncomine Dx Target Test was unable to analyze three samples (2%) due to the samples not passing the nucleic acid concentration threshold, and nine (8%) samples had invalid results. The exon 19 deletion was not detected by the Oncomine Dx Target Test in four cases (4%). CONCLUSIONS: The analytical performance of the Oncomine Dx Target Test analysis for EGFR mutations may not be comparable with conventional single gene tests due to both invalid and false-negative results. KEY POINTS: Significant findings of the study The success rate of the Oncomine Dx Target Test was significantly lower than the PNA-LNA PCR clamp test. Among the samples successfully analyzed, four exon 19 deletions were not detected by the Oncomine Dx Target Test. What this study adds The analytical performance of the Oncomine Dx Target Test may not be comparable with conventional single gene tests. We should revise the sampling procedures, and review the sample quality assessment methods, to improve the analytical performance.
BACKGROUND: Next-generation sequencing (NGS) has been implemented in clinical oncology to analyze multiple genes and to guide targeted therapy; however, little is known about the performance of the Oncomine Dx Target Test compared with conventional single gene tests for detecting EGFR mutations. The objective of this study was to evaluate the performance of the Oncomine Dx Target Test compared with a PNA-LNA PCR clamp test to detect EGFR mutations. METHODS: We retrospectively reviewed consecutive patients with non-small cell lung cancer (NSCLC) from whom FFPE samples were simultaneously submitted for the Oncomine Dx Target Test, and a PNA-LNA PCR clamp test using the same specimen. We subsequently compared the analysis success rates and detection rates between the two tests. RESULTS: A total of 116 samples were identified. The success rates and detection rates of EGFR mutations in the total number of samples were 90% and 28%, respectively for the Oncomine Dx Target Test, and 100% and 35% for the PNA-LNA PCR clamp test. The Oncomine Dx Target Test was unable to analyze three samples (2%) due to the samples not passing the nucleic acid concentration threshold, and nine (8%) samples had invalid results. The exon 19 deletion was not detected by the Oncomine Dx Target Test in four cases (4%). CONCLUSIONS: The analytical performance of the Oncomine Dx Target Test analysis for EGFR mutations may not be comparable with conventional single gene tests due to both invalid and false-negative results. KEY POINTS: Significant findings of the study The success rate of the Oncomine Dx Target Test was significantly lower than the PNA-LNA PCR clamp test. Among the samples successfully analyzed, four exon 19 deletions were not detected by the Oncomine Dx Target Test. What this study adds The analytical performance of the Oncomine Dx Target Test may not be comparable with conventional single gene tests. We should revise the sampling procedures, and review the sample quality assessment methods, to improve the analytical performance.
Authors: D Planchard; S Popat; K Kerr; S Novello; E F Smit; C Faivre-Finn; T S Mok; M Reck; P E Van Schil; M D Hellmann; S Peters Journal: Ann Oncol Date: 2018-10-01 Impact factor: 32.976
Authors: Mariam Jamal-Hanjani; Gareth A Wilson; Nicholas McGranahan; Nicolai J Birkbak; Thomas B K Watkins; Selvaraju Veeriah; Seema Shafi; Diana H Johnson; Richard Mitter; Rachel Rosenthal; Max Salm; Stuart Horswell; Mickael Escudero; Nik Matthews; Andrew Rowan; Tim Chambers; David A Moore; Samra Turajlic; Hang Xu; Siow-Ming Lee; Martin D Forster; Tanya Ahmad; Crispin T Hiley; Christopher Abbosh; Mary Falzon; Elaine Borg; Teresa Marafioti; David Lawrence; Martin Hayward; Shyam Kolvekar; Nikolaos Panagiotopoulos; Sam M Janes; Ricky Thakrar; Asia Ahmed; Fiona Blackhall; Yvonne Summers; Rajesh Shah; Leena Joseph; Anne M Quinn; Phil A Crosbie; Babu Naidu; Gary Middleton; Gerald Langman; Simon Trotter; Marianne Nicolson; Hardy Remmen; Keith Kerr; Mahendran Chetty; Lesley Gomersall; Dean A Fennell; Apostolos Nakas; Sridhar Rathinam; Girija Anand; Sajid Khan; Peter Russell; Veni Ezhil; Babikir Ismail; Melanie Irvin-Sellers; Vineet Prakash; Jason F Lester; Malgorzata Kornaszewska; Richard Attanoos; Haydn Adams; Helen Davies; Stefan Dentro; Philippe Taniere; Brendan O'Sullivan; Helen L Lowe; John A Hartley; Natasha Iles; Harriet Bell; Yenting Ngai; Jacqui A Shaw; Javier Herrero; Zoltan Szallasi; Roland F Schwarz; Aengus Stewart; Sergio A Quezada; John Le Quesne; Peter Van Loo; Caroline Dive; Allan Hackshaw; Charles Swanton Journal: N Engl J Med Date: 2017-04-26 Impact factor: 91.245