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Updated: Feb 22, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
High somatic mutation and neoantigen burden are correlated with decreased progression-free survival in multiple
A Miller1,2, Y Asmann3, L Cattaneo2
1Department of Molecular Medicine, Mayo Clinic, Rochester, MN, USA.
Abstract:
Tumor-specific mutations can result in immunogenic neoantigens, both of which have been correlated with responsiveness to immune checkpoint inhibitors in highly mutagenic cancers. However, early results of single-agent checkpoint inhibitors in multiple myeloma (MM) have been underwhelming. Therefore, we sought to understand the relationship between mutation and neoantigen landscape of MM patients and responsiveness to therapies. Somatic mutation burden, neoantigen load, and response to therapy were determined using interim data from the MMRF CoMMpass study (NCT01454297) on 664 MM patients. In this population, the mean somatic and missense mutation loads were 405.84(s=608.55) and 63.90(s=95.88) mutations per patient, respectively. There was a positive linear relationship between mutation and neoantigen burdens (R2=0.862). The average predicted neoantigen load was 23.52(s=52.14) neoantigens with an average of 9.40(s=26.97) expressed neoantigens. Survival analysis revealed significantly shorter progression-free survival (PFS) in patients with greater than average somatic missense mutation load (N=163, 0.493 vs 0.726 2-year PFS, P=0.0023) and predicted expressed neoantigen load (N=214, 0.555 vs 0.729 2-year PFS, P=0.0028). This pattern is maintained when stratified by disease stage and cytogenetic abnormalities. Therefore, high mutation and neoantigen load are clinically relevant risk factors that negatively impact survival of MM patients under current standards of care.
Insights
High tumor mutation and neoantigen load are linked to shorter survival in multiple myeloma (MM) patients. This suggests these factors are key indicators of poor prognosis under current treatments.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Tumor-specific mutations can create neoantigens, enhancing immune response in some cancers.
- Immune checkpoint inhibitors have shown limited efficacy in multiple myeloma (MM).
- Understanding the mutation and neoantigen landscape in MM is crucial for predicting treatment response.
Purpose of the Study:
- To investigate the relationship between mutation burden, neoantigen load, and therapeutic response in multiple myeloma patients.
- To identify if mutation and neoantigen profiles correlate with patient survival outcomes.
Main Methods:
- Analysis of interim data from the MMRF CoMMpass study (NCT01454297) including 664 MM patients.
- Quantification of somatic mutation burden and neoantigen load (predicted and expressed).
- Survival analysis, including progression-free survival (PFS), correlated with mutation and neoantigen levels.
Main Results:
- A strong positive linear correlation (R²=0.862) was observed between mutation and neoantigen burdens.
- Higher than average somatic missense mutation load and predicted expressed neoantigen load were associated with significantly shorter progression-free survival (PFS).
- These findings remained consistent across different disease stages and cytogenetic abnormalities.
Conclusions:
- Elevated mutation and neoantigen loads are significant negative prognostic factors in multiple myeloma.
- These factors negatively impact survival outcomes in MM patients receiving current standard care.
- Further research into targeted therapies based on the tumor's molecular profile is warranted.
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