Abstract 1203P
Background
Acute myeloid leukemia (AML) is the most common leukemia in adults and current methods rely on cytogenic and molecular profiling for AML classification. Recent advances have demonstrated that next generation sequencing (NGS) may improve prognostic prediction and risk stratification of AML patients. A tumour-only high coverage whole genome sequencing (WGS) method was developed to assess the analytical performance (limit of detection (LoD)), sensitivity, specificity and reproducibility) in identifying somatic small variants, structural variants (SV) and copy number alterations (CNA) specific to AML.
Methods
Seracare® myeloid panel, NOMO1, Kasumi1, HCC1187 and 53 AML clinical specimens were used to assess analytical performance. Extracted genomic DNA (∼350ng) from contrived specimens, cell lines, mononuclear cells from whole blood or bone marrow aspirate were manually processed with Illumina DNA PCR Free Prep and sequenced at 4 plex on S4 flowcells using NovaSeq™ 6000. The sequence data was analysed by DRAGEN™ Somatic v4.2 with a custom virtual 156 AML specific gene panel variant classification algorithm.
Results
The samples were sequenced at an average of ∼220X which yielded high analytical sensitivity, accuracy and reproducibility of the specimens evaluated in this study. Although the target sequence was ∼220X, samples were in silico down sampled to 140X to establish the following performance specifications. LoD was established for small variant (SNVs and indels) and SV to be 5% and 7.3%, respectively. CNA were detected with copy number fold change of 1.09 and 0.87 for duplication and deletion events, respectively. Further, loss of heterozygosity was detected with purity of 17%. Overall, we observed accuracy >95% across clinical samples with analytical sensitivities >95%, >99% and >95% for small variants, SV and CNA, respectively and analytical specificity of >99.9%.
Conclusions
We have developed a tumour only WGS method for genomic profiling of AML patients with a turn around time of 5 days. The analytical performance of this tumour only WGS approach indicates high accuracy in identifying variants indicative for AML. In addition, the high sequence depth provides improved analytical sensitivity compared to other genome sequencing or cytogenetic methods.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Illumina.
Funding
Illumina.
Disclosure
G. Malagoli Tagliazucchi, W. Gong, M. Ghildiyal, M. Chavez, K. Nobuta, E. Sayyari, S. Truong, T. Vang, G. Kim, Q. Bui, S. Kim, J. Bernd, E. De Feo, S. Comer: Financial Interests, Institutional, Full or part-time Employment: Illumina. M. Yaylaoglu: Financial Interests, Personal and Institutional, Full or part-time Employment: Illumina. D. Spencer: Financial Interests, Institutional, Financially compensated role: Washington University in St. Louis.
Resources from the same session
1564P - Limited participation in breast cancer screening among low-SES women: A matter of engagement or of health literacy?
Presenter: Allegra Ferrari
Session: Poster session 10
1566P - Optimizing participation in lung cancer screening program: Results from the first round in ILYAD study in Lyon University Hospital
Presenter: Emmanuel Grolleau
Session: Poster session 10
1567P - Physicians' adenoma detection rate and the risk of colorectal cancer in sequential screening programs: An observational cohort study
Presenter: Li Xie
Session: Poster session 10
1568P - Challenges in pilot lung cancer screening in Vojvodina, Serbia
Presenter: Jelena Djekic Malbasa
Session: Poster session 10
1569P - Secondary delay in breast cancer diagnosis and role of rural medical practitioners: A cause and cure finding study
Presenter: Rahul Agarwal
Session: Poster session 10
1570P - Factors and impacts of delayed presentation for county-level patients with breast cancer in a real-life setting in China
Presenter: Yinghua Ji
Session: Poster session 10
1571P - The reasons that motivate a change of specialties among oncology residents
Presenter: Christophe Ducrocq
Session: Poster session 10
1572P - Factors associated with career choice in oncology among medical students
Presenter: Nicolas Penel
Session: Poster session 10
1573P - Global cancer statistics for adolescents and young adults: New estimates from GLOBOCAN 2022
Presenter: Wang-Zhong Li
Session: Poster session 10
Resources:
Abstract