18 DHC 2026
21 - 23 January 2026
Lymphoid Abstracts (4)
sessie basaal
1374: Enhanced ctDNA Detection in B-cell Lymphoma by using Multi-Nucleotide Variants
22 January
11:45 12:00
Nick Veltmaat
Paper

Multi-Nucleotide Variants Enhance Circulating Tumor DNA Detection in B-cell Lymphoma

Nick Veltmaat (1), Laurens Silljé (1,2), Gerton Lunter (3), Marcel Nijland (1), Arjan Diepstra (2), Jelle Dalenberg (2), Yujie Zhong (2), Joost Kluiver (2), Wouter Plattel (1), Anke van den Berg (2)
(1) University Medical Center Groningen, Department of Hematology, Groningen, (2) University Medical Center Groningen, Department of Pathology & Medical Biology, Groningen, (3) University Medical Center Groningen, Department of Epidemiology, Groningen
No potential conflicts of interest
Introduction

Minimal residual disease (MRD) detection using circulating cell free DNA (cfDNA) of B-cell lymphoma patients is hampered by the low fraction of circulating tumor DNA (ctDNA) and NGS error rates. B-cell lymphomas often harbour clustered AID-induced single nucleotide variants (SNVs) in hypermutated super-enhancer regions. Together, these clustered SNVs form multi-nucleotide variants (MNVs) which offer an opportunity to improve limit of detection.

Methods

We developed MNVista, a bioinformatics tool that detects MNVs starting from SNVs called by an in-house developed pipeline and the corresponding aligned sequencing reads (indexed BAM files). The algorithm constructs genomic windows, pairs proximal SNVs, and statistically evaluates their co-occurrence using a Bayesian framework supported by Phi-coefficient and Jaccard index metrics. MNVs consisting of >2 SNVs are subsequently assembled by iteratively merging mutually compatible pairs. 

Results

Using in-silico spike-ins of synthetic MNVs at VAFs 0.1–10% into five DLBCL cfDNA BAMs (~18,000× median coverage) and realistic somatic background noise, MNVista achieved F1 scores >0.97 and PR-AUCs >0.94 in semi-synthetic settings (Youden-derived Bayesian thresholds >0.99), and reliably detected spiked MNVs down to <0.1% VAF (with theoretical sensitivity limits reaching <1 ppm for larger MNVs). In longitudinal patient samples, baseline MNVs aligned closely with clinical outcome: patients who harbored somatic MNVs at interim and end-of-treatment (EOT) timepoints at VAFs of ~0.01–0.1% relapsed, despite achieving PET/CT-defined complete remission (CR). Conversely, patients lacking detectable somatic MNVs at EOT remained in CR. These results indicate that MNV-based ctDNA calling increased sensitivity of MRD detection and outperformed imaging in identifying patients at risk to develop a relapse.

Conclusion

MNVista leverages the low joint error probability of co-occurring in-cis variants to substantially enhance ctDNA sensitivity and is compatible with standard high-depth, UMI-aware pipelines. MNVista can be readily integrated for MRD monitoring and prospective clinical studies in (germinal center derived) B-cell lymphoma with localized hypermutated regions.

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