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Free Light Chain Monomer-Dimer Pattern Analysis as Non-Invasive Tool in Predicting MGUS and SMM Progression
Avshalom Serok1, Lesya Olga Kukuy2, Omer Shaked3
1Department of Internal Medicine, Hadassah Medical Center, The Hebrew University of Jerusalem, Jerusalem 91120, Israel.
Cancers
|August 13, 2026
Summary
A new non-invasive assay, free light chain (FLC)-monomer (M)-dimer (D) pattern analysis (FLC-MDPA), shows promise for predicting progression in precursor plasma cell disorders like MGUS and SMM. This method improves risk stratification accuracy, potentially reducing the need for invasive bone marrow assessments.
Area of Science:
- Hematology
- Oncology
- Biochemistry
Background:
- Monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) are precursor plasma cell disorders.
- Current risk stratification models for these conditions have limited precision and often require invasive bone marrow assessments.
Purpose of the Study:
- To evaluate the efficacy of free light chain (FLC)-monomer (M)-dimer (D) pattern analysis (FLC-MDPA) as a non-invasive tool for predicting progression in MGUS and SMM.
- To compare the predictive performance of FLC-MDPA with existing risk stratification models.
Main Methods:
- A non-invasive Western blot-based serum assay, FLC-MDPA, was applied to patients with MGUS (n=68) and SMM (n=40).
- A training set (n=50) was used to define progression criteria, and a validation set (n=46) confirmed the findings.
- Statistical analyses included sensitivity, specificity, negative predictive value (NPV), and hazard ratios (HR).
Main Results:
- FLC-MDPA demonstrated high accuracy in predicting biochemical progression (sensitivity 0.79, specificity 0.92, NPV 0.86) and clinical progression (sensitivity 0.84, specificity 0.79).
- Patients with abnormal FLC-MDPA patterns showed significantly higher progression rates (p < 0.0001).
- FLC-MDPA improved sensitivity and NPV when incorporated into a modified risk model and was independently associated with progression in multivariable analysis.
Conclusions:
- FLC-MDPA is a promising non-invasive tool for risk stratification in MGUS and SMM.
- This assay enhances predictive accuracy and negative predictive value compared to existing models.
- FLC-MDPA may reduce the reliance on invasive bone marrow assessments for managing these plasma cell disorders.

