Abstract 2495: Rapid clinical diagnostic classification and risk stratification in acute myelogenous leukemia (AML) using whole genome sequencing (WGS)
Abstract Waiting for test results is a primary cause of delay in the diagnostic classification and risk stratification of patients with AML. With conventional cytogenetic, FISH, and targeted NGS approaches taking a median turnaround time (TAT) of 7-15 days, there is a significant unmet need to deliver these results faster using a more comprehensive testing platform. We have very recently developed, and demonstrated Analytical Validity (AV), Clinical Validity (CV) and Clinical Utility (CU) in accordance with MolDX L38047, for a rapid Whole Genome Sequencing (WGS) approach for AML (DEX Z-Code Z04C0). Importantly, this test (termed ALTseq) was specifically designed to deliver clinically actionable genomic results that encompass those from cytogenetics, FISH, and targeted NGS in under 48 hours (TAT mean = 33 hours). This accelerated turnaround time was enabled by streamlining laboratory workflows, enhancing bioinformatic pipelines, and expediting variant approval for reporting. The assay captures single nucleotide variants, indels (including FLT3-ITDs and KMT2A-PTDs), and 155 distinct structural variants including KMT2A rearrangements, and genome-wide copy number alterations. Additionally, we have recently developed a method to measure monosomal and complex karyotypes from WGS sequencing data. By deploying WGS we are able to gain insight in all genes in the human exome, with the curated clinical reporting covering all current key AML-related aberrations. These include mutations in NPM1, TP53, RUNX1, IDH1/2, FLT3, MEN1, rearrangements involving KMT2A, MECOM, NUP98, and canonical translocations such as PML::RARA, RUNX1::RUNX1T1, and BCR::ABL1. ALTseq has a limit of detection of 9%, 8%, 10%, and 7% for SNVs, indels, CNAs, and SVs, respectively, with sensitivities of 96%, 96.4%, 95.7%, and 100%, respectively. The positive predictive value for all variant types is ≥99.5%. Since implementation, ALTseq has been used in 66 AML cases, achieving a mean TAT of 33 hours from sample receipt to report delivery. Recent evidence of clinical utility includes the incorporation of Mylotarg in induction therapy based on the identification of CBFB::MYH11 fusion gene, and the inclusion of Revumenib for a KMT2A rearrangement that could not be identified with standard breakaway FISH probes. In summary, we will describe the clinical deployment of a high-throughput, fast-turnaround WGS platform for AML, capable of delivering comprehensive genomic profiling in <48 hours from sample receipt to clinical reporting enabling earlier, more informed treatment decisions. Citation Format: Wayne M. Jepsen, Jonathan J. Keats, Sara A. Byron, Cherie Wesley, Bryce Turner, Christophe Legendre, Tyler Izatt, Tracey White, Amy Stouffer, Lucy Ghoda, Yeneka Campana, Courtney Holden, Jonathan Beteran, Michelle Afkhami, Anthony Stein, Tibor Kovacsovics, Guido Marcucci, Jeffrey Trent. Rapid clinical diagnostic classification and risk stratification in acute myelogenous leukemia (AML) using whole genome sequencing (WGS) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2495.
Authors
- Tyler Izatt
- Sara A. Byron (ORCID: https://orcid.org/0000-0003-0093-0374)
- Wayne M. Jepsen (ORCID: https://orcid.org/0000-0002-3020-6005)
- Jeffrey M. Trent (ORCID: https://orcid.org/0000-0003-0183-4202)
- Lucy Ghoda (ORCID: https://orcid.org/0000-0002-8212-3586)
- C. John Wesley
- Tracey White
- Jonathan J. Keats (ORCID: https://orcid.org/0000-0003-4375-7399)
- Bryce Turner
- Tibor Kovacsovics (ORCID: https://orcid.org/0000-0003-3294-0761)
- Michelle Afkhami
- C.A. HOLDEN
- Yeneka Campana
- Jonathan Beteran
- Amy Stouffer
- Guido Marcucci
- Anthony Stein
- Christophe Legendre
Institutions
- Translational Genomics Research Institute (US)
- Project HOPE (US)
- City of Hope (US)
Publication Details
- Journal
- Cancer Research
- Published
- 2026-04-03
- DOI
- https://doi.org/10.1158/1538-7445.am2026-2495
- Primary Topic
- Acute Myeloid Leukemia Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00