scholarly journals Facilitating EMA binding test performance using fluorescent beads combined with next‐generation sequencing

eJHaem ◽  
2021 ◽  
Author(s):  
Andreas Glenthøj ◽  
Christian Brieghel ◽  
Amina Nardo‐Marino ◽  
Richard Wijk ◽  
Henrik Birgens ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Test Performance ◽  
Next Generation ◽  
Fluorescent Beads ◽  
Generation Sequencing

scholarly journals Clinical Application of Next-Generation Sequencing of Plasma Cell-Free DNA for Genotyping Untreated Advanced Non-Small Cell Lung Cancer

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2707
Author(s):  
Maria Gabriela O. Fernandes ◽  
Natália Cruz-Martins ◽  
Conceição Souto Moura ◽  
Susana Guimarães ◽  
Joana Pereira Reis ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Next Generation Sequencing ◽  
Clinical Outcomes ◽  
Test Performance ◽  
Molecular Diagnostic ◽  
Test Accuracy ◽  
Newly Diagnosed ◽  
Next Generation ◽  
Clinical Value ◽  
Generation Sequencing

Background: Analysis of circulating tumor DNA (ctDNA) has remarkable potential as a non-invasive lung cancer molecular diagnostic method. This prospective study addressed the clinical value of a targeted-gene amplicon-based plasma next-generation sequencing (NGS) assay to detect actionable mutations in ctDNA in patients with newly diagnosed advanced lung adenocarcinoma. Methods: ctDNA test performance and concordance with tissue NGS were determined, and the correlation between ctDNA findings, clinical features, and clinical outcomes was evaluated in 115 patients with paired plasma and tissue samples. Results: Targeted-gene NGS-based ctDNA and NGS-based tissue analysis detected 54 and 63 genomic alterations, respectively; 11 patients presented co-mutations, totalizing 66 hotspot mutations detected, 51 on both tissue and plasma, 12 exclusively on tissue, and 3 exclusively on plasma. NGS-based ctDNA revealed a diagnostic performance with 81.0% sensitivity, 95.3% specificity, 94.4% PPV, 83.6% NPV, test accuracy of 88.2%, and Cohen’s Kappa 0.764. PFS and OS assessed by both assays did not significantly differ. Detection of ctDNA alterations was statistically associated with metastatic disease (p = 0.013), extra-thoracic metastasis (p = 0.004) and the number of organs involved (p = 0.010). Conclusions: This study highlights the potential use of ctDNA for mutation detection in newly diagnosed NSCLC patients due to its high accuracy and correlation with clinical outcomes.

scholarly journals Optimizing Workflows and Processing of Cytologic Samples for Comprehensive Analysis by Next-Generation Sequencing: Memorial Sloan Kettering Cancer Center Experience

2016 ◽  
Vol 140 (11) ◽  
pp. 1200-1205 ◽  
Author(s):  
Shaozhou Ken Tian ◽  
J. Keith Killian ◽  
Natasha Rekhtman ◽  
Ryma Benayed ◽  
Sumit Middha ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Test Performance ◽  
Cancer Center ◽  
Next Generation ◽  
Success Rates ◽  
Institutional Practices ◽  
Tissue Samples ◽  
Cohesive Group ◽  
Sequencing Platforms ◽  
Generation Sequencing

The value and suitability of cytology specimens for molecular diagnosis has been demonstrated by numerous studies. In practice, however, the success rates vary widely across institutions depending on the disease setting, institutional practices of acquisition, handling/processing, and testing methodologies. As the number of clinically relevant biomarkers continues to increase, more laboratories are turning to next-generation sequencing platforms for testing. Although amplicon-based next-generation sequencing assays, interrogating a limited genomic territory, can be performed with minimal input material, broader-based next-generation sequencing assays have higher DNA input requirements that may not be met if the small tissue samples are not acquired and handled appropriately. We briefly describe some of the process changes we have instituted in our laboratories when handling cytologic material to maximize the tissue available for broad hybrid-capture–based next-generation sequencing assays. Among the key changes established were the consolidation and preservation of previously discarded supernatant material in cytologic samples, the introduction of mineral oil for deparaffinization of cell blocks, and adjustments in the molecular laboratory process and bioinformatics pipelines. We emphasize that even minimal changes can have broad implications for test performance, highlighting the importance of a cohesive group-based approach among clinical, cytopathology, surgical pathology, molecular, and bioinformatics teams.

scholarly journals The Quality Sequencing Minimum (QSM): providing comprehensive, consistent, transparent next generation sequencing  data quality assurance

2018 ◽  
Vol 3 ◽  
pp. 37 ◽  
Author(s):  
Shazia Mahamdallie ◽  
Elise Ruark ◽  
Shawn Yost ◽  
Márton Münz ◽  
Anthony Renwick ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Next Generation Sequencing ◽  
Test Performance ◽  
Median Number ◽  
Genomic Region ◽  
Next Generation Sequencing Data ◽  
Next Generation ◽  
Sequencing Data ◽  
Clinical Genetic ◽  
Generation Sequencing

Next generation sequencing (NGS) is routinely used in clinical genetic testing. Quality management of NGS testing is essential to ensure performance is consistently and rigorously evaluated. Three primary metrics are used in NGS quality evaluation: depth of coverage, base quality and mapping quality. To provide consistency and transparency in the utilisation of these metrics we present the Quality Sequencing Minimum (QSM). The QSM defines the minimum quality requirement a laboratory has selected for depth of coverage (C), base quality (B) and mapping quality (M) and can be applied per base, exon, gene or other genomic region, as appropriate. The QSM format is CX_BY(PY)_MZ(PZ). X is the parameter threshold for C, Y the parameter threshold for B, PY the percentage of reads that must reach Y, Z the parameter threshold for M, PZ the percentage of reads that must reach Z. The data underlying the QSM is in the BAM file, so a QSM can be easily and automatically calculated in any NGS pipeline. We used the QSM to optimise cancer predisposition gene testing using the TruSight Cancer Panel (TSCP). We set the QSM as C50_B10(85)_M20(95). Test regions falling below the QSM were automatically flagged for review, with 100/1471 test regions QSM-flagged in multiple individuals. Supplementing these regions with 132 additional probes improved performance in 85/100. We also used the QSM to optimise testing of genes with pseudogenes such as PTEN and PMS2. In TSCP data from 960 individuals the median number of regions that passed QSM per sample was 1429 (97%).  Importantly, the QSM can be used at an individual report level to provide succinct, comprehensive quality assurance information about individual test performance. We believe many laboratories would find the QSM useful. Furthermore, widespread adoption of the QSM would facilitate consistent, transparent reporting of genetic test performance by different laboratories.

Labordiagnostik bei gastrointestinalen Tumoren

2020 ◽  
Vol 11 (05) ◽  
pp. 232-238
Author(s):  
Marcus Kleber
Keyword(s):  
Next Generation Sequencing ◽  
Kolorektales Karzinom ◽  
Next Generation ◽  
Generation Sequencing

ZUSAMMENFASSUNGDas kolorektale Karzinom (KRK) ist einer der häufigsten malignen Tumoren in Deutschland. Einer frühzeitigen Diagnostik kommt große Bedeutung zu. Goldstandard ist hier die Koloskopie. Die aktuelle S3-Leitlinie Kolorektales Karzinom empfiehlt zum KRK-Screening den fäkalen okkulten Bluttest. Für das Monitoring von Patienten vor und nach Tumorresektion werden die Messung des Carcinoembryonalen Antigens (CEA) und der Mikrosatellitenstabilität empfohlen. Für die Auswahl der korrekten Chemotherapie scheint derzeit eine Überprüfung des Mutationsstatus, mindestens des KRAS-Gens und des BRAF-Gens, sinnvoll zu sein. Eine Reihe an neuartigen Tumormarkern befindet sich momentan in der Entwicklung, hat jedoch noch nicht die Reife für eine mögliche Anwendung in der Routinediagnostik erreicht. Den schnellsten Weg in die breite Anwendung können Next-Generation-Sequencing-basierte genetische Tests finden.

Sign in / Sign up

Export Citation Format

Share Document