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2026 conference-abstract

Abstract 1134: Cell-free DNA fragmentomes capture response to immuno-radiotherapy in metastatic non-small cell lung cancer

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2Pays d’affiliation déclarés

Rattachement africain : us, nl. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Abstract Background: Timely assessment of response to immune checkpoint inhibition (ICI) is critical but often limited by the heterogeneity of radiographic responses. Mutation-based analyses of cell-free DNA (cfDNA) circumvent these challenges, but are, in turn, prone to artifacts arising from clonal hematopoiesis. Plasma cfDNA fragmentome analyses using low-pass whole genome sequencing (WGS) may enable a scalable approach to evaluate systemic tumor burden in a tumor- and mutation-naïve manner. Methods: cfDNA fragmentome analyses were performed following low-pass WGS of 244 plasma samples from 62 patients treated with pembrolizumab +/- radiotherapy (NCT02492568). A locked instance of the DELFI-TF, a random forest regression model based on genome-wide fragmentation patterns and aneuploidy, was applied to determine cfDNA fragmentome-based estimates of tumor fraction. The 95th percentile of tumor fraction in a non-cancer reference set established the limit of blank (LOB). Fragmentome-based landmark molecular response was defined as ctDNA below LOB at 6 weeks. Baseline tumor samples (n=24) patients were analyzed by RNA sequencing to characterize transcriptomic profiles stratified by cfDNA fragmentome profiles. Clinical outcomes were evaluated by RECIST 1.1 (at 6 and 12 weeks), progression-free survival (PFS), and overall survival (OS). Results: At baseline, DELFI-TF values were correlated with radiographic tumor burden (R=0.32, P=0.017). Notably, tumors from patients with high DELFI-TF showed an enrichment in gene sets related to cell cycle, DNA replication and repair (adjusted P<0.05), suggesting that fragmentome TF accurately captured cellular turnover. At 6 weeks, 73% (8 out of 11) of patients with radiographic response attained fragmentome molecular response, while the subset of patients with radiographically stable or progressive disease was more heterogeneous in their fragmentome molecular response (24 out of 50, 48%). Fragmentome molecular response was more concordant with best overall response (BOR) at 12 weeks (Fisher’s exact P=0.018). Analysis of baseline tumors from patients achieving fragmentome molecular response revealed an inflamed tumor microenvironment (adjusted P-value <0.001). Among patients with stable or progressive disease at the first radiographic evaluation, fragmentome response predicted longer PFS (logrank P=0.0096) and OS (logrank P=0.012). Similarly, fragmentome molecular response predicted PFS (logrank P=7.4e-5) and OS (logrank P=0.00028) across the entire cohort. Conclusions: Plasma cfDNA fragmentome-derived tumor fraction reflects cellular turnover and lung cancer biology within the context of immunotherapy, while also enabling reliable, cost-effective, and scalable molecular response evaluations. Citation Format: Noushin Niknafs, Lavanya Sivapalan, Bahar Alipanahi, Gavin Pereira, Amna Jamali, Jaime Wehr, Daniel Rabizadeh, Christopher Cherry, Bryan Chesnick, Nicholas C. Dracopoli, Jamie Medina, Stephen Cristiano, Willemijn S. Theelen, Robert Scharpf, Lorenzo Rinaldi, Victor E. Velculescu, Valsamo (Elsa) Anagnostou. Cell-free DNA fragmentomes capture response to immuno-radiotherapy in metastatic non-small cell lung cancer [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 1134.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Abstract 1134: Cell-free DNA fragmentomes capture response to immuno-radiotherapy in metastatic non-small cell lung cancer
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

  • Johns Hopkins University pays non établi dans la notice
    Université ou école supérieure
  • University of Baltimore pays non établi dans la notice
    Université ou école supérieure
  • The Netherlands Cancer Institute pays non établi dans la notice
    Établissement de santé
  • Amsterdam pays non établi dans la notice
    Institution

Johns Hopkins University, University of Baltimore et The Netherlands Cancer Institute, avec 1 autre affiliation.

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Cancer Genomics and DiagnosticsCancer Immunotherapy and BiomarkersSingle-cell and spatial transcriptomics

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