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Effective quality management practices in routine clinical next-generation sequencing.

ABSTRACT: Molecular technologies have allowed laboratories to detect and establish the profiles of human cancers by identifying a variety of somatic variants. In order to improve personalized patient care, we have established a next-generation sequencing (NGS) test to screen for somatic variants in primary or advanced cancers. In this study, we describe the laboratory quality management program for NGS testing, and also provide an overview of the somatic variants identified in over 1000 patient samples as well as their implications in clinical practice.Over the past one-and-a-half years, our laboratory received a total of 1028 formalin-fixed, paraffin-embedded (FFPE) tumor tissues, which consisted of non-small-cell lung carcinomas (NSCLCs), colon adenocarcinomas, glioma/glioblastomas, melanomas, breast carcinomas, and other tumor types. During this time period, we implemented a series of quality control (QC) checks that included (1) pre-DNA extraction, (2) DNA quantification, (3) DNA quality, (4) library quantification, (5) post-emulsification PCR, and (6) post-sequencing metrics. At least 10 ng of genomic DNA (gDNA) were used to prepare barcoded libraries using the AmpliSeq CHPv2. Samples were multiplexed and sequenced on Ion Torrent 318 chips using the Ion PGM System. Variants were identified using the Variant Caller Plugin, and annotation and functional predictions were performed using the Golden Helix SVS.A total of 1005 samples passed QC1-3, and following additional library preparation QC checkpoints, 877 samples were sequenced. Samples were classified into two categories: wild-type (127) and positive for somatic variants (750). Somatic variants were classified into clinically actionable (60%) and non-actionable (40%).The use of NGS in routine clinical laboratory practice allowed for the detection of tumor profiles that are essential for the selection of targeted therapies and identification of applicable clinical trials, contributing to the improvement of personalized patient care in oncology.

SUBMITTER: de Abreu FB

PROVIDER: S-EPMC5506542 | biostudies-other | 2016 May

REPOSITORIES: biostudies-other

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Project description:Next-generation sequencing is increasingly used for clinical evaluation of patients presenting with thrombotic microangiopathies because it allows for simultaneous interrogation of multiple complement and coagulation pathway genes known to be associated with disease. However, the diagnostic yield is undefined in routine clinical practice. Historic studies relied on case-control cohorts, did not apply current guidelines for variant pathogenicity assessment, and used targeted gene enrichment combined with next-generation sequencing. A clinically enhanced exome, targeting ~54?Mb, was sequenced for 73 patients. Variant analysis and interpretation were performed on genes with biological relevance in thrombotic microangiopathy (C3,CD46, CFB, CFH, CFI, DGKE, and THBD). CFHR3-CFHR1 deletion status was also assessed using multiplex ligation-dependent probe amplification. Variants were classified using American College of Medical Genetics and Genomics guidelines. We identified 5 unique novel and 14 unique rare variants in 25% (18/73) of patients, including a total of 5 pathogenic, 4 likely pathogenic, and 15 variants of uncertain clinical significance. Nine patients had homozygous deletions in CFHR3-CFHR1. The diagnostic yield, defined as the presence of a pathogenic variant, likely pathogenic variant or homozygous deletion of CFHR3-CFHR1, was 25% for all patients tested. Variants of uncertain clinical significance were identified in 21% (15/73) of patients.These results illustrate the expected diagnositic yield in the setting of thrombotic microangiopathies through the application of standardized variant interpretation, and highlight the utility of such an approach. Sequencing a clinically enhanced exome to enable targeted, disease-specific variant analysis is a viable approach. The moderate rate of variants of uncertain clinical significance highlights the paucity of data surrounding the variants in our cohort and illustrates the need for expanded variant curation resources to aid in thrombotic microangiopathy-related disease variant classification.

Project description:Personalized treatment is an attractive strategy that promises increased efficacy with reduced side effects in cancer. The feasibility of such an approach has been greatly boosted by next-generation sequencing (NGS) techniques, which can return detailed information on the genome and on the transcriptome of each patient's tumor, thus highlighting biomarkers of response or druggable targets that may differ from case to case. However, while the number of cancers sequenced is growing exponentially, much fewer cases are amenable to a molecularly-guided treatment outside of clinical trials to date. In multiple myeloma, genomic analysis shows a variety of gene mutations, aneuploidies, segmental copy-number changes, translocations that are extremely heterogeneous, and more numerous than other hematological malignancies. Currently, in routine clinical practice we employ reduced FISH panels that only capture three high-risk features as part of the R-ISS. On the contrary, recent advances have suggested that extending genomic analysis to the full spectrum of recurrent mutations and structural abnormalities in multiple myeloma may have biological and clinical implications. Furthermore, increased efficacy of novel treatments can now produce deeper responses, and standard methods do not have enough sensitivity to stratify patients in complete biochemical remission. Consequently, NGS techniques have been developed to monitor the size of the clone to a sensitivity of up to a cell in a million after treatment. However, even these techniques are not within reach of standard laboratories. In this review we will recapitulate recent advances in multiple myeloma genomics, with special focus on the ones that may have immediate translational impact. We will analyze the benefits and pitfalls of NGS-based diagnostics, highlighting crucial aspects that will need to be taken into account before this can be implemented in most laboratories. We will make the point that a new era in myeloma diagnostics and minimal residual disease monitoring is close and conventional genetic testing will not be able to return the required information. This will mandate that even in routine practice NGS should soon be adopted owing to a higher informative potential with increasing clinical benefits.

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Effective quality management practices in routine clinical next-generation sequencing.

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