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Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
MRD dynamics predicts progression and reveals a vulnerable state for immunotherapy interception in multiple myeloma
Carmen Gonzalez1, Camila Guerrero2, Marta Larrayoz2
1Cancer Center Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBER-ONC number CB16/12/00369 and CB16/12/00489, Pamplona, Pamplona, Spain.
Blood
|July 24, 2026
Summary
Measurable residual disease (MRD) dynamics in multiple myeloma (MM) stratify patients into five survival subgroups. Early or late sustained MRD response indicates good outcomes, while resistance predicts poor survival, guiding personalized treatment strategies.
Area of Science:
- Hematology
- Oncology
- Immunology
Background:
- The clinical significance of one or two measurable residual disease (MRD) assessments is established in multiple myeloma (MM).
- Stratifying patients based on ≥3 MRD assessments and understanding MRD resistance traits remain unknown.
- The potential benefit of treating persistent MRD versus relapse is unclear.
Purpose of the Study:
- To analyze MRD dynamics in newly-diagnosed multiple myeloma (MM) patients with ≥3 MRD assessments.
- To identify patient subgroups based on MRD dynamics and their survival outcomes.
- To investigate the impact of treating persistent MRD versus relapse using anti-BCMA CAR T cells in a preclinical model.
Main Methods:
- Computed MRD dynamics using next-generation flow cytometry and Connector in 539 MM patients across three trials.
- Performed molecular and immune profiling on matched diagnostic and MRD samples.
- Investigated survival impact of treating persistent MRD vs relapse with anti-BCMA CAR T cells in mice.
Main Results:
- MRD dynamics identified five distinct patient subgroups with varying survival outcomes from 3,610 assessments.
- Patients with early or late sustained MRD response showed excellent outcomes, while volatile or resistant MRD predicted dismal survival.
- MRD dynamics outperformed transplant-eligibility and R-ISS staging and were validated in routine practice.
Conclusions:
- MRD dynamics is a powerful predictor of progression in multiple myeloma, surpassing current staging systems.
- Understanding MRD dynamics and resistance mechanisms (genomic evolution, immune adaptation) can inform treatment strategies.
- Early intervention with therapies like anti-BCMA CAR T cells during MRD resistance may improve survival compared to treatment at relapse.
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