Practical guide for the comparison of two next-generation sequencing systems for solid tumour analysis in a universal healthcare system

Aims Although there have been excellent reports in the literature of validating next-generation sequencing, comparisons between two systems are not often published due to cost and time. We set out to establish that targetable mutations could be reliably detected with different gene panels and different chemistries using a common bioinformatics pipeline for meaningful comparisons to be made. Methods After running selected formalin-fixed, paraffin-embedded samples through QPCR, Sanger sequencing and the 50 gene hotspot v2 panel from Life Technologies to determine standard-of-care variants, we compared the Oncomine panel from Life Technologies performed on a Personal Genome Machine (PGM) and the eight-gene actionable panel from Qiagen performed on a MiSeq platform. We used a common bioinformatics program following the creation of respective VCF files. Results Both panels were accurate to above 90%, the actionable panel workflow was easier to perform but the lowest effective starting DNA load was obtained on the Oncomine workflow at 4 ng. Such minimal DNA can help with samples where there is limited material such as those for lung cancer molecular studies. We also discuss gene panel content and propose that increasing the gene profile of a panel will not benefit clinical laboratories where standard-of-care testing is all that is required. Conclusions Once recognised, it may be cost-effective for such laboratories to begin validation with an appropriate bioinformatics pipeline for targeted multigene hotspot molecular testing.

[1]  Birgit Funke,et al.  College of American Pathologists' laboratory standards for next-generation sequencing clinical tests. , 2015, Archives of pathology & laboratory medicine.

[2]  H. Swerdlow,et al.  A tale of three next generation sequencing platforms: comparison of Ion Torrent, Pacific Biosciences and Illumina MiSeq sequencers , 2012, BMC Genomics.

[3]  Manuel Salto-Tellez,et al.  Next‐generation sequencing: a change of paradigm in molecular diagnostic validation , 2014, The Journal of pathology.

[4]  Donavan T. Cheng,et al.  Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): A Hybridization Capture-Based Next-Generation Sequencing Clinical Assay for Solid Tumor Molecular Oncology. , 2015, The Journal of molecular diagnostics : JMD.

[5]  Philip Hugenholtz,et al.  Shining a Light on Dark Sequencing: Characterising Errors in Ion Torrent PGM Data , 2013, PLoS Comput. Biol..

[6]  T. Dallman,et al.  Performance comparison of benchtop high-throughput sequencing platforms , 2012, Nature Biotechnology.

[7]  Etienne Rouleau,et al.  Integration of next-generation sequencing in clinical diagnostic molecular pathology laboratories for analysis of solid tumours; an expert opinion on behalf of IQN Path ASBL , 2016, Virchows Archiv.

[8]  Manuel Salto-Tellez,et al.  Tissue-based next generation sequencing: application in a universal healthcare system , 2017, British Journal of Cancer.

[9]  Shashikant Kulkarni,et al.  Assuring the quality of next-generation sequencing in clinical laboratory practice , 2012, Nature Biotechnology.

[10]  Marina N Nikiforova,et al.  Guidelines for Validation of Next-Generation Sequencing-Based Oncology Panels: A Joint Consensus Recommendation of the Association for Molecular Pathology and College of American Pathologists. , 2017, The Journal of molecular diagnostics : JMD.

[11]  H. Yao,et al.  Clinicopathological significance of c-KIT mutation in gastrointestinal stromal tumors: a systematic review and meta-analysis , 2015, Scientific Reports.

[12]  Darragh G. McArt,et al.  Validation of Next Generation Sequencing Technologies in Comparison to Current Diagnostic Gold Standards for BRAF, EGFR and KRAS Mutational Analysis , 2013, PloS one.

[13]  Savita Shrivastava,et al.  Validation of a next-generation sequencing assay for clinical molecular oncology. , 2014, The Journal of molecular diagnostics : JMD.

[14]  Alex M. Fichtenholtz,et al.  Development and validation of a clinical cancer genomic profiling test based on massively parallel DNA sequencing , 2013, Nature Biotechnology.