scholarly journals Leveraging the Fragment Length of Circulating Tumour DNA to Improve Molecular Profiling of Solid Tumour Malignancies with Next-Generation Sequencing: A Pathway to Advanced Non-invasive Diagnostics in Precision Oncology?

2021 ◽  
Author(s):  
Hunter R. Underhill
Keyword(s):  
Next Generation Sequencing ◽  
Fragment Length ◽  
Solid Tumour ◽  
Molecular Profiling ◽  
Precision Oncology ◽  
Next Generation ◽  
Non Invasive ◽  
Invasive Diagnostics ◽  
Circulating Tumour Dna ◽  
Generation Sequencing

scholarly journals 670. Rapid, Non-invasive Detection of Invasive Mycoplasma hominis Infection using the Karius Test, A Next-Generation Sequencing Test for Microbial Cell-free DNA in Plasma

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S390-S390
Author(s):  
Priya Edward ◽  
William V La Via ◽  
Mehreen Arshad ◽  
Kiran Gajurel
Keyword(s):  
Next Generation Sequencing ◽  
Case Series ◽  
Mycoplasma Hominis ◽  
Microbial Cell ◽  
Next Generation ◽  
Cell Free Dna ◽  
Non Invasive ◽  
Free Dna ◽  
Hominis Infection ◽  
Generation Sequencing

Abstract Background Mycoplasma hominis is typically associated with genital infections in women and is a rare cause of musculoskeletal infections often in immunocompromised hosts. Diagnosis of invasive Mycoplasma hominis infections are difficult due to challenges in culturing these organisms. Molecular diagnostics require an index of suspicion which may not be present at the time of tissue sampling. Accurate, rapid diagnosis of Mycoplasma hominis infections are important for antibiotic management. Methods Two cases of invasive Mycoplasma hominis infections are presented in which the Karius test (KT) was used to make the diagnosis. The KT is a CLIA certified/CAP-accredited next-generation sequencing (NGS) plasma test that detects microbial cell-free DNA (mcfDNA). After mcfDNA is extracted and NGS performed, human reads are removed and remaining sequences are aligned to a curated database of > 1400 organisms. Organisms present above a statistical threshold are reported. Case review was performed for clinical correlation. Results A young woman with lupus nephritis status post renal transplant developed persistent fever with progressive multifocal culture-negative osteoarticular infection despite empiric ceftriaxone. An adolescent female presented with an ascending pelvic infection progressing to purulent polymicrobial peritonitis (see table) requiring surgical debridement and cefipime, metronidazole and micafungin therapy; her course was complicated by progressive peritonitis/abscesses. Karius testing detected high-levels of Mycoplasma hominis mcfDNA in both cases – at 3251 molecules/microliter (MPM) in the first case and 3914 MPM in the second case. The normal range of Mycoplasma hominis mcfDNA in a cohort of 684 normal adults is 0 MPM. The patients rapidly improved with atypical coverage with doxycycline and levofloxaxin. Clinical findings in 2 patients with M. hominis infection detected by the Karius Test Conclusion Open-ended, plasma-based NGS for mcfDNA provides a rapid, non-invasive method to diagnose invasive Mycoplasma hominis infection. This case series highlights the potential to diagnose infections caused by fastidious pathogens to better inform antimicrobial therapy and achieve favorable outcomes. Disclosures William V. La Via, MD, Karius (Employee)

scholarly journals Panel of serum miRNAs as potential non-invasive biomarkers for pancreatic ductal adenocarcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Imteyaz Ahmad Khan ◽  
Safoora Rashid ◽  
Nidhi Singh ◽  
Sumaira Rashid ◽  
Vishwajeet Singh ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Early Stage ◽  
Ductal Adenocarcinoma ◽  
Next Generation ◽  
Serum Samples ◽  
Tissue Samples ◽  
Non Invasive ◽  
Specific Symptoms ◽  
Generation Sequencing

AbstractEarly-stage diagnosis of pancreatic ductal adenocarcinoma (PDAC) is difficult due to non-specific symptoms. Circulating miRNAs in body fluids have been emerging as potential non-invasive biomarkers for diagnosis of many cancers. Thus, this study aimed to assess a panel of miRNAs for their ability to differentiate PDAC from chronic pancreatitis (CP), a benign inflammatory condition of the pancreas. Next-generation sequencing was performed to identify miRNAs present in 60 FFPE tissue samples (27 PDAC, 23 CP and 10 normal pancreatic tissues). Four up-regulated miRNAs (miR-215-5p, miR-122-5p, miR-192-5p, and miR-181a-2-3p) and four down-regulated miRNAs (miR-30b-5p, miR-216b-5p, miR-320b, and miR-214-5p) in PDAC compared to CP were selected based on next-generation sequencing results. The levels of these 8 differentially expressed miRNAs were measured by qRT-PCR in 125 serum samples (50 PDAC, 50 CP, and 25 healthy controls (HC)). The results showed significant upregulation of miR-215-5p, miR-122-5p, and miR-192-5p in PDAC serum samples. In contrast, levels of miR-30b-5p and miR-320b were significantly lower in PDAC as compared to CP and HC. ROC analysis showed that these 5 miRNAs can distinguish PDAC from both CP and HC. Hence, this panel can serve as a non-invasive biomarker for the early detection of PDAC.

scholarly journals Comparison of three commercial decision support platforms for matching of next-generation sequencing results with therapies in patients with cancer

ESMO Open ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. e000872
Author(s):  
Samantha O Perakis ◽  
Sabrina Weber ◽  
Qing Zhou ◽  
Ricarda Graf ◽  
Sabine Hojas ◽  
...  
Keyword(s):  
Decision Support ◽  
Next Generation Sequencing ◽  
Metastatic Breast ◽  
Clinical Decision ◽  
Molecular Data ◽  
Current Status ◽  
Precision Oncology ◽  
Next Generation ◽  
Generation Sequencing ◽  
Tier I

ObjectivePrecision oncology depends on translating molecular data into therapy recommendations. However, with the growing complexity of next-generation sequencing-based tests, clinical interpretation of somatic genomic mutations has evolved into a formidable task. Here, we compared the performance of three commercial clinical decision support tools, that is, NAVIFY Mutation Profiler (NAVIFY; Roche), QIAGEN Clinical Insight (QCI) Interpret (QIAGEN) and CureMatch Bionov (CureMatch).MethodsIn order to obtain the current status of the respective tumour genome, we analysed cell-free DNA from patients with metastatic breast, colorectal or non-small cell lung cancer. We evaluated somatic copy number alterations and in parallel applied a 77-gene panel (AVENIO ctDNA Expanded Panel). We then assessed the concordance of tier classification approaches between NAVIFY and QCI and compared the strategies to determine actionability among all three platforms. Finally, we quantified the alignment of treatment suggestions across all decision tools.ResultsEach platform varied in its mode of variant classification and strategy for identifying druggable targets and clinical trials, which resulted in major discrepancies. Even the frequency of concordant actionable events for tier I-A or tier I-B classifications was only 4.3%, 9.5% and 28.4% when comparing NAVIFY with QCI, NAVIFY with CureMatch and CureMatch with QCI, respectively, and the obtained treatment recommendations differed drastically.ConclusionsTreatment decisions based on molecular markers appear at present to be arbitrary and dependent on the chosen strategy. As a consequence, tumours with identical molecular profiles would be differently treated, which challenges the promising concepts of genome-informed medicine.

scholarly journals Precision Oncology in Sarcomas: Divide and Conquer

2019 ◽  
pp. 1-16 ◽  
Author(s):  
Roberto Carmagnani Pestana ◽  
Roman Groisberg ◽  
Jason Roszik ◽  
Vivek Subbiah
Keyword(s):  
Next Generation Sequencing ◽  
Soft Tissue Sarcomas ◽  
Genetic Alterations ◽  
Divide And Conquer ◽  
Precision Oncology ◽  
Next Generation ◽  
Mesenchymal Tumors ◽  
Next Generation Sequencing Technology ◽  
Molecular Abnormalities ◽  
Generation Sequencing

Sarcomas are a heterogeneous group of rare malignancies that exhibit remarkable heterogeneity, with more than 50 subtypes recognized. Advances in next-generation sequencing technology have resulted in the discovery of genetic events in these mesenchymal tumors, which in addition to enhancing understanding of the biology, have opened up avenues for molecularly targeted therapy and immunotherapy. This review focuses on how incorporation of next-generation sequencing has affected drug development in sarcomas and strategies for optimizing precision oncology for these rare cancers. In a significant percentage of soft tissue sarcomas, which represent up to 40% of all sarcomas, specific driver molecular abnormalities have been identified. The challenge to evaluate these mutations across rare cancer subtypes requires the careful characterization of these genetic alterations to further define compelling drivers with therapeutic implications. Novel models of clinical trial design also are needed. This shift would entail sustained efforts by the sarcoma community to move from one-size-fits-all trials, in which all sarcomas are treated similarly, to divide-and-conquer subtype-specific strategies.

Sign in / Sign up

Export Citation Format

Share Document