MRD and Biomarkers
Category: MRD and Biomarkers
Delayed and Sustained Minimal Residual Disease Response Predicts Favorable Outcomes in Newly Diagnosed Multiple Myeloma
Jieqiong Zhou
PhD candidate
State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College
Minimal residual disease (MRD) negativity is a well-established prognostic marker in multiple myeloma (MM), yet the clinical relevance of the timing and duration of MRD response remains uncertain, especially among patients who never achieve MRD negativity.
Methods: In this large cohort study, we analyzed 1,048 newly diagnosed MM patients, encompassing 5,406 flow cytometry-based MRD assessments. We assessed the associations of time to best MRD response and duration of MRD response with progression-free survival (PFS) and overall survival (OS) using landmark and time-dependent analyses. Multivariable Cox regression models were used to evaluate the prognostic impact of MRD response kinetics across clinical and genetic risk factors.
Results: A longer time to best MRD response ( >6 months) was significantly associated with improved PFS and OS, particularly in patients who never achieved MRD negativity but exhibited persistent low-level disease. Early responders were more likely to have higher tumor burden and high-risk cytogenetic abnormalities. Importantly, a prolonged MRD duration (≥36 months) predicted favorable outcomes regardless of MRD status, cytogenetic risk, or transplant eligibility. Patients with a “Late + Long” MRD pattern exhibited the best long-term outcomes, including those who never achieved MRD negativity.
Conclusions: Our findings demonstrate that MRD kinetics—specifically the timing and duration of response—have independent prognostic value beyond static MRD negativity. A slow but sustained MRD response may offset the adverse impact of MRD positivity or high-risk features and could inform long-term disease monitoring and individualized treatment strategies.