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Updated: Sep 10, 2025

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VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
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Temporal genomic dynamics shape clinical trajectory in multiple myeloma
Francesco Maura1,2, Marcella Kaddoura3, Alexandra M Poos4,5
1Myeloma Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA. mauraf@mskcc.org.
Nature Genetics
|August 20, 2025
Summary
Multiple myeloma develops over decades, with chromosomal gains like 1q gain impacting outcomes based on when they occur, not just how many copies are present.
Area of Science:
- Genomics
- Cancer Biology
- Hematology
Background:
- Multiple myeloma (MM) is a plasma cell malignancy.
- MM evolution involves accumulating genomic alterations.
- Understanding the timeline of these alterations is crucial for prognosis.
Purpose of the Study:
- To determine the timeline of genomic driver acquisition in multiple myeloma.
- To investigate the impact of the timing of specific genetic events on clinical outcomes.
Main Methods:
- Whole-genome sequencing of 421 samples from 382 multiple myeloma patients.
- Analysis of mutational signatures to estimate event timing.
- Correlation of genomic event timing with patient survival data.
Main Results:
- A significant time lag of 20-40 years exists between initial genomic events and MM diagnosis.
- Odd-numbered chromosome trisomies can arise concurrently with other gains, such as 1q gain.
- Hyperdiploidy acquisition occurs after immunoglobulin heavy chain translocations when co-occurring.
- Early 1q gain is associated with adverse outcomes, comparable to 1q amplification, and worse than late 1q gain.
Conclusions:
- The timing of genomic alterations, particularly 1q gain, is a critical determinant of clinical outcome in multiple myeloma.
- This study provides insights into the evolutionary history of multiple myeloma.
- Findings may inform prognostic stratification and therapeutic strategies for multiple myeloma patients.
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