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Published on: October 19, 2014
Whole-genome sequencing reveals progressive versus stable myeloma precursor conditions as two distinct entities
Bénedith Oben1,2, Guy Froyen2,3, Kylee H Maclachlan4
1Lab. Experimental Hematology, Dept. Clinical Biology, Jessa Hospital, Hasselt, Belgium.
Abstract:
Multiple myeloma (MM) is consistently preceded by precursor conditions recognized clinically as monoclonal gammopathy of undetermined significance (MGUS) or smoldering myeloma (SMM). We interrogate the whole genome sequence (WGS) profile of 18 MGUS and compare them with those from 14 SMMs and 80 MMs. We show that cases with a non-progressing, clinically stable myeloma precursor condition (n = 15) are characterized by later initiation in the patient's life and by the absence of myeloma defining genomic events including: chromothripsis, templated insertions, mutations in driver genes, aneuploidy, and canonical APOBEC mutational activity. This data provides evidence that WGS can be used to recognize two biologically and clinically distinct myeloma precursor entities that are either progressive or stable.
Insights
Whole genome sequencing distinguishes stable precursor conditions from those that progress to multiple myeloma (MM). Stable conditions lack key genomic events found in progressive disease, indicating distinct biological pathways.
Area of Science:
- Genomics
- Oncology
- Hematology
Background:
- Multiple myeloma (MM) development is preceded by clinical precursor conditions such as monoclonal gammopathy of undetermined significance (MGUS) and smoldering myeloma (SMM).
- Understanding the genomic differences between stable and progressive precursor conditions is crucial for early detection and intervention.
Purpose of the Study:
- To investigate the whole genome sequence (WGS) profiles of MGUS, SMM, and MM.
- To identify genomic markers that differentiate stable myeloma precursor conditions from those that progress to MM.
Main Methods:
- Whole genome sequencing (WGS) was performed on 18 MGUS samples.
- WGS data from MGUS were compared with existing data from 14 SMM and 80 MM cases.
- Genomic events including chromothripsis, gene mutations, aneuploidy, and APOBEC activity were analyzed.
Main Results:
- Fifteen clinically stable myeloma precursor cases were characterized by later onset and absence of myeloma-defining genomic events.
- Progressive precursor conditions exhibited genomic hallmarks such as chromothripsis, driver gene mutations, aneuploidy, and APOBEC mutational activity.
- WGS can differentiate between biologically distinct, stable and progressive myeloma precursor entities.
Conclusions:
- Whole genome sequencing provides a powerful tool for distinguishing between stable and progressive myeloma precursor conditions.
- The absence of specific genomic events in stable precursor conditions suggests different biological mechanisms compared to progressive disease.
- These findings support the potential for WGS in identifying patients at risk of progressing to multiple myeloma.
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