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2026 conference-abstract

Abstract 3863: Enhanced cfDNA fragmentation-based treatment monitoring on the Ultima Genomics platform.

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Abstract Introduction: Whole-genome analysis of cell-free DNA (cfDNA) fragmentation, such as DELFI-Tumor Fraction (DELFI-TF), has emerged as a powerful tool for monitoring therapeutic response in patients with late-stage cancer. In this study, we assessed the technical feasibility of the Ultima Genomics sequencing platform for a cfDNA fragmentation-based monitoring application. Methods: The study consisted of two cohorts: 1) 48 longitudinal plasma samples collected from 16 stage IV lung cancer patients and 2) 4 tumor, normal, and matched plasma samples of varying tumor types from treatment-naive stage IV patients. cfDNA was sequenced using three methods: the Illumina NovaSeq6000 (mean depth: 11.8x) and the Ultima UG 100 using the standard approach (8 replicates per sample, 11.0x) or ppmSeq (174.6x). Fragmentation features and DELFI-TF were computed, and DELFI-TF values were compared against somatic variant allele frequencies (VAF) from a 500-gene targeted sequencing panel. WGS somatic variants were identified by filtering ppmSeq variant calls and used to categorize reads into two groups based on their likely origin: tumor or white blood cell (WBC). Fragmentation features were then calculated per group as well as for all reads combined. Results: Ultima sequences were high quality, with 88.3% of bases >Q30 base quality and 99.0% of reads aligned on average. Fragment length distributions (FLDs) within the 100-220bp range (Pearson R > 0.998, p < 1e-5) and genome-wide fragmentation profiles (Pearson R > 0.939, p < 1e-5) were highly correlated between platforms. Limits of blank, with overlapping bootstrapped confidence intervals, and ctDNA detection (100% positive, 95.7% negative, and 97.4% overall percent agreement) were also consistent. Ultima-DELFI-TF correlated strongly with VAF (Pearson R=0.979, p<1e-5), showed high precision across replicates (median robust CV: 2.6%), and reflected longitudinal ctDNA patterns in treatment response. Classifying read origin by somatic variants from ppmSeq resulted in tumor-derived FLDs that displayed a higher proportion of short fragments than WBC-derived FLDs (p-value < 1e-5, KS test). When compared to a reference FLD derived from samples with undetectable ctDNA, the tumor-derived FLD deviated more from the reference distribution than the WBC-derived and combined FLDs (median KL-divergence of 0.227 [tumor], 0.078 [WBC], and 0.089 [combined]). The relative frequencies of 10 fragment end motifs were consistently elevated in the tumor-derived fragments across the whole cohort (all p < 1e-5, Chi-sq). Conclusions: These data support the technical feasibility of implementing DELFI-TF on the Ultima platform. Combining DELFI-TF with Ultima ppmSeq enables the detection of tumor-originated reads and provides a path toward more sensitive disease detection. Citation Format: Laurel K. Millberg, Garrett Graham, Zachary Skidmore, Jordan Gumm, Kevin Jacobs, Ariel Jaimovich, Elena Helman, Bryan Chesnick, Roberto Olivares-Amaya, Timothy Mcdaniel, Sian Jones, Amoolya Singh, Lorenzo Rinaldi. Enhanced cfDNA fragmentation-based treatment monitoring on the Ultima Genomics platform [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 3863.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Abstract 3863: Enhanced cfDNA fragmentation-based treatment monitoring on the Ultima Genomics platform.
Date Crossref
03/04/2026
Éditeur
American Association for Cancer Research (AACR)
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Où se fait cette recherche

  • Arima Genomics (United States) pays non établi dans la notice
    Entreprise
  • Palo Alto pays non établi dans la notice
    Institution
  • Freemont pays non établi dans la notice
    Institution

Arima Genomics (United States), Palo Alto et Freemont.

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Les sujets associés

Cancer Genomics and DiagnosticsLung Cancer Treatments and MutationsRadiomics and Machine Learning in Medical Imaging

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