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December 8, 2025BloodOpen Access

Comprehensive characterization of multiple myeloma genomes from bone marrow or peripheral blood with a novel clinical assay enables identification of resistance mechanisms

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Authors

BPBruno PaivaPGPatricia T. GreippRMReid G. Meyer

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Overview

Observational analysis identifies resistance mechanisms in multiple myeloma, suggesting improved therapy selection.

Key Points

  • GenoPredicta reveals resistance mechanisms in cancer genomes, enhancing treatment strategies for multiple myeloma.
  • Validation confirmed complete concordance of genomic abnormalities between bone marrow and peripheral blood samples.
  • Whole genome sequencing detects both known and high-risk genetic alterations not captured by traditional FISH methods.
  • Combining peripheral blood monitoring with genomic profiling supports earlier detection and individualized therapy selection in myeloma.

Cite This Study

Paiva et al. (2025) studied this question.

synapsesocial.com/papers/69362f444fa91c937236d583https://doi.org/10.1182/blood-2025-2586
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  1. 1Liquid biopsy for non-invasive molecular characterization and measurable residual disease analysis in multiple myeloma2025
  2. 2Replacing FISH with a comprehensive integrated approach for tumor genotyping and immune monitoring in multiple myeloma: The flagship study2025 · 1 citations
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  4. 4Comprehensive DNA/RNA-based targeted sequencing for molecular karyotyping and clonality assessment in newly diagnosed multiple myeloma patients2025
  5. 5Single-cell DNA profiling unveils clonal evolution and identifies mechanisms of therapeutic resistance and progression in monoclonal gammopathies2025 · 1 citations