ArticleHaematologica2025
Unique molecular assay (UMA): a next-generation sequencing targeted panel for efficient and comprehensive genomic profiling and risk stratification of multiple myeloma.
Article in Haematologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Clonal Dynamics After Allogeneic Hematopoietic Stem Cell Transplantation from Related Donors: A Case Series.International journal of molecular sciences · 2026Article
- The Evolving Role of Genomic Technologies in Multiple Myeloma: Implications for Diagnosis, Risk Stratification and Resistance.Molecular diagnosis & therapy · 2026Review
- Immunophenotypic Heterogeneity and Clonal Sweep in Acute Myeloid Leukemia Revealed by Flow Cytometry: A Case Series Study.Journal of personalized medicine · 2026Article
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24 authors.
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Abstract
Multiple myeloma (MM) is characterized by genetic abnormalities in plasma cells, requiring precise genomic characterization for effective risk stratification and treatment. This study presents the Unique Molecular Assay (UMA) panel, a targeted DNA-sequencing approach designed to capture critical genomic aberrations in MM, including canonical immunoglobulin heavy chain translocations (t-IgH), copy number alterations (CNA), and mutations in 82 genes. The UMA panel is the first MM sequencing panel validated against traditional methods like fluorescence in situ hybridization (FISH) and SNP arrays across two laboratories for clinical-grade accuracy and reproducibility. The study included 150 patients whose DNA samples were analyzed using the UMA panel, achieving a median coverage of 233X with a requirement of ≥4 million reads per sample. The UMA panel demonstrated high concordance with FISH in detecting both CNA and t-IgH, achieving a balanced accuracy of over 93%. Moreover, inter-laboratory validation confirmed the robustness and reliability of the panel on genomic alteration calls. Importantly, the UMA panel enabled precise risk stratification based on the Second Revision of the International Staging System (R2-ISS), identifying high-risk features such as TP53 mutations and genome-wide CNA. This comprehensive and cost-effective genomic profiling tool supports clinical decision-making and personalized treatment strategies in MM. The validated performance and scalability of the UMA panel suggest its potential to complement traditional diagnostic methods, offering detailed insights into the genomic landscape of MM.
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