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December 8, 2025BloodOpen Access

Non-invasive detection and classification of lymphoma via cell-free DNA methylation profiling

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Authors

TLTing LiuDZDavidson ZhaoASAlthaf Singhawansa

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Overview

Analysis reveals cell-free DNA methylation as a promising biomarker for lymphoma classification, indicating robust treatment response prediction.

Key Points

  • High accuracy of 0.88 achieved with a binary classification model distinguishing lymphoma from controls.
  • The approach utilized generalized linear models on methylation patterns in cell-free DNA from plasma samples.
  • Lymphoma detection correlates with treatment response metrics, supporting its role as a biomarker.
  • Findings suggest cell-free DNA provides a minimally invasive option for accurate lymphoma diagnosis and monitoring.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/69362f7d4fa91c937236e457https://doi.org/10.1182/blood-2025-1748
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Also Consider

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  1. 1Non-invasive classification & molecular subtyping of mature lymphoid neoplasms by cell-free DNA profiling2025
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  3. 3Comprehensive analysis of early ctdna kinetics following first cycle of R-CHOP in LBCL patients2025
  4. 4Liquid biopsy for non-invasive molecular characterization and measurable residual disease analysis in multiple myeloma2025
  5. 5Analysis of cell-free DNA in lymphomas: from sample collection to genotyping and minimal residual disease monitoring2026