Abstract 5123: Characterization of genetic mutation spectra and identification of gene amplification and fusion variants in cell-free nucleic acid from cultured cancer cell media and liquid biopsy specimens using Oncomine™ Pan-Cancer Cell-Free Assay

Author(s):  
Ru Cao ◽  
Kris Lea ◽  
Madhu Jasti ◽  
Jeff Schageman ◽  
Khalid Hanif ◽  
...  
2020 ◽  
Author(s):  
Jane Bayani ◽  
Megan Hopkins ◽  
Melanie Spears ◽  
John M. S. Bartlett
Keyword(s):  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14614-e14614 ◽  
Author(s):  
John B. Williamson ◽  
Luis Solano ◽  
Akemi Yuki ◽  
Vanessa D. Burkhart ◽  
James Chitwood ◽  
...  

e14614 Background: Assessing tumor-derived somatic variants from blood plasma provides minimally invasive tumor profiling, decreased cost relative to traditional tissue biopsy and rapid turn-around-time. We describe here the analytical validation of the Oncomine Pan-Cancer Cell-Free assay in a CAP-accredited, CLIA-certified laboratory. The assay is designed to detect somatic DNA single-nucleotide variants (SNV), insertions/deletions (INDEL), copy number variants (CNV), and gene fusions in cell-free total nucleic acid (cfTNA) across 52 genes. For research use only. Not for use in diagnostic procedures. Methods: We assessed the sensitivity, specificity, accuracy, and precision of the assay. Pre-characterized reference materials with alterations at known allelic frequencies (AF) were used to establish performance characteristics for each variant class followed by verification on clinical specimens. Whole blood (n = 73) from healthy (10), breast cancer (9), colorectal cancer (32), and lung cancer (22) donors were collected in K2EDTA tubes and plasma was separated within 8 hours of collection. cfTNA was isolated using the MagMAX Cell-Free Total Nucleic Acid Isolation Kit on the KingFisher Flex. Libraries were prepared following kit instructions. Templating and sequencing were performed using the Ion 550 Kit on the Ion Chef and S5 XL systems. Alignment to hg19 and variant calling were performed using Torrent Suite and Ion Reporter software. Results: We observed a sensitivity of 80% at 0.1% AF and > 99.9% at 0.5% AF for SNV/INDEL. Sensitivity was > 99.9% at 1.34 fold-change for CNV, and > 99.9% at 0.4% fusion fraction. Specificity and accuracy were > 99% for all variant classes. Precision was 98% for SNV/INDEL and > 99.9% for CNV/fusions. Analysis of donor plasma demonstrated clinical feasibility; on average, we detected 1 hotspot SNV/INDEL (range 0-4) across the 3 cancer types. For SNV/INDEL in plasma where matched tissue genotyping was available (n = 17), we observed > 99% concordance (AF range 0.09%-52%). Conclusions: We have demonstrated that this assay is a sensitive method for evaluating tumor-derived somatic variants in blood plasma. It may provide an alternative and minimally invasive method for mutation profiling.


Genes ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 1080
Author(s):  
Magdalena Olbryt ◽  
Marcin Rajczykowski ◽  
Wiesław Bal ◽  
Anna Fiszer-Kierzkowska ◽  
Alexander Jorge Cortez ◽  
...  

Next-generation sequencing (NGS) in liquid biopsies may contribute to the diagnosis, monitoring, and personalized therapy of cancer through the real-time detection of a tumor’s genetic profile. There are a few NGS platforms offering high-sensitivity sequencing of cell-free DNA (cfDNA) samples. The aim of this study was to evaluate the Ion AmpliSeq HD Technology for targeted sequencing of tumor and liquid biopsy samples from patients with fourth-stage melanoma. Sequencing of 30 samples (FFPE tumor and liquid biopsy) derived from 14 patients using the Oncomine™ Pan-Cancer Cell-Free Assay was performed. The analysis revealed high concordance between the qPCR and NGS results of the BRAF mutation in FFPE samples (91%), as well as between the FFPE and liquid biopsy samples (91%). The plasma-tumor concordance of the non-BRAF mutations was 28%. A total of 17 pathogenic variants in 14 genes (from 52-gene panel), including TP53, CTNNB1, CCND1, MET, MAP2K1, and GNAS, were identified, with the CTNNB1S45F variant being the most frequent. A positive correlation between the LDH level and cfDNA concentration as well as negative correlation between the LDH level and time to progression was confirmed in a 22-patient cohort. The analysis showed both the potential and limitations of liquid biopsy genetic profiling using HD technology and the Ion Torrent platform.


2020 ◽  
Vol 26 (42) ◽  
pp. 7655-7671 ◽  
Author(s):  
Jinfeng Zou ◽  
Edwin Wang

Background: Precision medicine puts forward customized healthcare for cancer patients. An important way to accomplish this task is to stratify patients into those who may respond to a treatment and those who may not. For this purpose, diagnostic and prognostic biomarkers have been pursued. Objective: This review focuses on novel approaches and concepts of exploring biomarker discovery under the circumstances that technologies are developed, and data are accumulated for precision medicine. Results: The traditional mechanism-driven functional biomarkers have the advantage of actionable insights, while data-driven computational biomarkers can fulfill more needs, especially with tremendous data on the molecules of different layers (e.g. genetic mutation, mRNA, protein etc.) which are accumulated based on a plenty of technologies. Besides, the technology-driven liquid biopsy biomarker is very promising to improve patients’ survival. The developments of biomarker discovery on these aspects are promoting the understanding of cancer, helping the stratification of patients and improving patients’ survival. Conclusion: Current developments on mechanisms-, data- and technology-driven biomarker discovery are achieving the aim of precision medicine and promoting the clinical application of biomarkers. Meanwhile, the complexity of cancer requires more effective biomarkers, which could be accomplished by a comprehensive integration of multiple types of biomarkers together with a deep understanding of cancer.


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