QIAGEN Expands Clinical Decision Support for NGS in Oncology Labs

Adding solutions to QIAGEN Clinical Insight® for hereditary cancers and more somatic cancers

3 Nov 2015
Lois Manton-O'Byrne, PhD
Executive Editor

Product news

QIAGEN N.V. has announced enhancements to its QIAGEN Clinical Insight® (QCI™) clinical decision support solution, which streamlines the annotation, interpretation and reporting of next-generation sequencing results (NGS) for clinical laboratories.

The QCI bioinformatics platform, launched earlier this year, has been expanded from interpreting NGS data on somatic mutations in solid tumor cancers to add leukemia and lymphoma testing, as well as testing for hereditary cancer indications.

Designed and validated in collaboration with clinical testing laboratories such as the Memorial Sloan Kettering Cancer Center, the Baylor College of Medicine, Virginia Commonwealth University (VCU) and LabCorp, QCI enables labs to efficiently and accurately provide the valuable molecular insights made possible by next-generation sequencing.

“While instrument and assay costs have declined, clinical testing laboratories still face bottlenecks from the complexity and cost of interpreting and reporting NGS data. Our team took a customer-centered approach to solving these challenges, collaborating with more than 50 labs to develop and validate QIAGEN Clinical Insight for each test indication. QCI has launched very successfully and is today recognized as the best-in-class decision support platform,” said Dr. Laura Furmanski, Ph.D., Executive Vice President and Head of QIAGEN’s Bioinformatics Business Area. “Our bioinformatics are having an impact in diagnostics and personalized medicine using NGS, particularly in oncology. The user-friendly QCI platform provides valuable, clinically relevant insights to help guide the treatment of patients.”

For somatic cancer indications, the QCI enhancements include insights for diagnostic testing as well as monitoring and progression, support for copy number variations (CNVs) and fusion genes, and additional prognostics data from the literature.

QCI now provides comprehensive cover of FDA- and EMA-approved drug labels, NCCN, ASCO and ESMO professional guidelines, and active genotype-related clinical trials to compliment comprehensive coverage of literature references and a wide range of reported case databases.

“We have been collaborating with QIAGEN on the design, development and validation of QIAGEN’s new Clinical Insight (QCI) platform in support of NGS-based Oncology testing”, said Dr. Andrea Ferreira-Gonzales, Ph.D., Chair, Molecular Diagnostics Division and Director of the Molecular Diagnostics Laboratory at Virginia Commonwealth University. “We recently completed our validation work with the QCI platform that demonstrated results compliant with our manual methods and reporting policies for test interpretation and reporting, with the added benefits of enabling a more scalable and repeatable standards and levels of evidence based approach. The QCI platform enables us to quickly assess biological significance, clinical relevance and actionability of observed alterations at scale and to identify treatment and trial options based upon the available levels of evidence. QCI’s comprehensive coverage of literature, reported cases and drug labels, professional guidelines and trials enables VCU to provide its ordering physicians with more insightful decision support information.”

The enhancements also add 32 hereditary cancer genes to QCI’s coverage, providing a more complete solution for laboratories to interpret and report on germline variants, including support for NGS comprehensive cancer panels testing for both somatic and inherited cancers. QCI now includes comprehensive curation of the hereditary cancer literature and curated clinical case counts for common heritable cancers including breast and ovarian cancer, Lynch syndrome, Peutz-Jegher syndrome, ataxia telangiectasia, neurofibromatosis, hereditary diffuse gastric cancer, familial prostate cancer, polyposis, and many more.

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Clinical ChemistryBiochemistry (or clinical chemistry) involves the analysis of bodily fluids using chemical tests. Techniques used include HPLC, chromatography, spectroscopy, mass spectrometry, immunochemical, electrophoresis, turbidometric / spectrophotometric assay, MRI and ISE analysis. Tests are often carried out on plasma or serum but urine (urinalysis) and fecal specimens are also processed.Clinical GeneticsMolecular Genetics covers the analysis of hereditary genetic disease and chromosomal abnormalities. Genetics can be analysed using DNA, RNA, and protein microarrays, PCR, RT PCR and DNA sequencing. Genetic equipment includes genetic workstations, thermal cyclers, cooling blocks and electrophoresis products. Diagnostic kits are used for DNA / RNA extraction and purification.Next Generation SequencingNext-generation sequencing (NGS), also known as whole-genome sequencing, high-throughput sequencing and massive parallel sequencing, produces and analyses thousands to millions of nucleotide sequences at once. Sequencing systems operate via varying technologies depending on the manufacturer, including sequencing by synthesis, ligation, pyrosequencing, ion semiconductor and single-molecule real-time sequencing. For NGS, library preparation is paramount to successful sequencing. In this section, explore a range of library preparation kits, from targeted, amplicon-based or hybridization-based kits including epigenomic, transcriptomic and genomic workflows to fragmentation kits. Find the best next-generation sequencing products in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Clinical NGSNext Generation Sequencing (NGS) refers to the use of massive parallel sequencing of multiple small fragments of DNA. This high-throughput genomic analysis yields enormous amounts of sequence data, which if appropriately analyzed could have huge potential for clinical laboratories. For this to happen there are technique and bioinformatic hurdles to be overcome.TumorsTumor research focuses on understanding abnormal cell growth that leads to cancer. Identifying biomarkers, studying tumor microenvironments, and developing targeted therapies are critical for advancing cancer treatment. Early detection and personalized treatment options are key to improving outcomes for patients. Browse our peer-reviewed product directory to explore tools for tumor research, diagnostics, and cancer therapies; compare products, read customer reviews, and get pricing directly from manufacturers.LeukemiaLymphocytesBioinformaticsBioinformatics uses computational models and methodologies to study biological processes and to understand biological data.Genotyping
QIAGEN Expands Clinical Decision Support for NGS in Oncology Labs