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Background: Next generation sequencing based tumor tissue genotyping involves complex workflow and a relatively longer turnaround time. Semiconductor based next generation platforms varied from low throughput Ion PGM to high throughput Ion Proton and Ion S5XL sequencer. In this study, we compared Ion PGM and Ion Proton, with a new Ion S5XL NGS system for workflow scalability, analytical sensitivity and specificity, turnaround time and sequencing performance in a clinical laboratory. Methods: Eighteen solid tumor samples positive for various mutations as detected previously by Ion PGM and Ion Proton were selected for study. Libraries were prepared using DNA (range10-40ng) from micro-dissected formalin-fixed, paraffin-embedded (FFPE) specimens using the Ion Ampliseq Library Kit 2.0 for comprehensive cancer (CCP), oncomine comprehensive cancer (OCP) and cancer hotspot panel v2 (CHPv2) panel as per manufacturer’s instructions. The CHPv2 were sequenced using Ion PGM whereas CCP and OCP were sequenced using Ion Proton respectively. All the three libraries were further sequenced individually (S540) or multiplexed (S530) using Ion S5XL. For S5XL, Ion chef was used to automate template preparation, enrichment of ion spheres and chip loading. Data analysis was performed using Torrent Suite 4.6 software on board S5XL and Ion Reporter. A limit of detection and reproducibility studies was performed using serially diluted DLD1 cell line. Results: A total of 241 variant calls (235 single nucleotide variants and 6 indels) expected in the studied cohort were successfully detected by S5XL with 100% and 97% concordance with Ion PGM and Proton, respectively. Sequencing run time was reduced from 4.5 to 2.5 hours with output range of 3–5 GB (S530) and 8–9.3Gb (S540). Data analysis time for the Ion S5XL is faster 1 h (S520), 2.5 h (S530) and 5 h (S540) chip, respectively as compared to the Ion PGM (3.5–5 h) and Ion Proton (8h). A limit detection of 5% allelic frequency was established along with high inter-run reproducibility. Conclusion: Ion S5XL system simplified workflow in a clinical laboratory, was feasible for running smaller and larger panels on the same instrument, had a shorter turnaround time, and showed good concordance for variant calls with similar sensitivity and reproducibility as the Ion PGM and Proton. [ABSTRACT FROM AUTHOR]

Objectives: Clinical laboratories are rapidly implementing next-generation sequencing (NGS) tests for mutation analysis, but there are few guidelines regarding sample quality for successful results.Methods: We aimed to establish tissue quality parameters for successful NGS in solid tumors and to improve NGS performance.Results: Analysis of 614 clinical cases tested in 2013 using a 50-gene hotspot mutation panel identified the major cause for unsuccessful NGS analysis was DNA less than 10 ng (91%, 67/74) associated with extremely small and low cellularity samples. High success rates were associated with resection procedures (333/342, 97%) and biopsied tumor larger than 10 mm(2) (77/77, 100%). NGS can be successfully performed on bone specimens processed with formic acid-based decalcification procedures (8/11, 73%). Tumor type and paraffin block age did not affect success. We demonstrated that NGS can be carried out on samples with less than 10 ng DNA. Analysis of 408 cases tested in 2014 using an optimized workflow showed improved NGS success rates from 88% to 95% (387/408) with pronounced improvement among tiny (<10 mm(2)) samples (from 76% to 94%) as well as cytology samples (from 58% to 87%).Conclusions: Identifying preanalytical tissue factors allows us to improve NGS performance and to successfully test tumors obtained from minimally invasive procedures. [ABSTRACT FROM AUTHOR]

BACKGROUND: The use of cytology specimens for next-generation sequencing (NGS) is particularly challenging because of the unconventional substrate of smears and the often limited sample volume. An analysis of factors affecting NGS testing in cytologic samples may help to increase the frequency of successful testing. METHODS: This study reviewed variables associated with all in-house cytology cases (n5207) that were analyzed by NGS with the Ion Torrent platform during a 10-month interval. A statistical analysis was performed to measure the effects of the DNA input threshold, specimen preparation, slide type, tumor fraction, DNA yield, and cytopathologist bias. RESULTS: One hundred sixty-four of 207 cases (79%) were successfully sequenced by NGS; 43 (21%) failed because of either a low DNA yield or a template/library preparation failure. The median estimated tumor fraction and DNA concentration for the successfully sequenced cases were 70% and 2.5 ng/lL, respectively, whereas they were 60% and 0.2 ng/μL, respectively, for NGS failures. Cell block sections were tested in 91 cases, and smears were used in 116 cases. NGS success positively correlated with the DNA yield but not the tumor fraction. Cell block preparations showed a higher success rate than smears. Frosted-tip slides yielded significantly more DNA than fully frosted slides. Lowering the input DNA concentration below the manufacturer's recommended threshold of 10 ng (>0.85 ng/μL) resulted in a marked increase in the NGS success rate from 58.6% to 89.8%. CONCLUSIONS: The failure of NGS with cytology samples is usually a result of suboptimal DNA due to multiple pre-analytical factors. Knowledge of these factors will allow better selection of cytology material for mutational analysis. [ABSTRACT FROM AUTHOR]