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Coker, Jonathan

Mayo Clinic

Mayo Clinic

Citations 2

B-123 Clinical Implication of Light Chain Fragmentation in Patients with Monoclonal Gammopathies
Courcelles, Louisiane, Vanderboom, Patrick M. , Coker, Jonathan, Kohlhagen, Mindy , Copet, Brandon, Larkin, James , Dasari, Surendra , Murray, David , Wu, Jack, Courcelles, Louisiane , Copet, Brandon, Dispenzieri, Angela , Willrich, Maria Alice V.

Clinical Chemistry | October 2, 2025 | Volume: 71 | Issue: Supplement_1 | Pages: No page available

10.1093/clinchem/hvaf086.520 Get It

Abstract Background The diagnosis of monoclonal gammopathies relies on the detection of monoclonal immunoglobulins (M-proteins) in serum or urine. Mass-Fix utilizes matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) to detect and quantify M-proteins. This method employs immunoaffinity enrichment using antibodies against heavy chains (HC) and light chains (LC), followed by MS analysis to determine M-protein isotypes. Mass-Fix has also revealed novel M-protein characteristics, including LC glycosylation and fragmentation, facilitated by measuring the mass of LC. LC glycosylation is as an independent risk factor for disease progression of monoclonal gammopathy of undetermined significance (MGUS), while light chain fragments have been postulated as the origin of amyloid light chain (AL) plaques. Since Mass-Fix enriches intact immunoglobulins before dissociating LCs, it potentially enhances fragment detection. However, the precise nature and clinical significance of these fragments remain to be fully elucidated. Methods Mass-Fix serum results from Mayo Clinic patients tested from September 10, 2018, to October 1, 2024, were reviewed for the presence of M-protein and LC fragments. The frequency and the isotype of fragment LC fragments was determined in the M-protein positive cohort (n=15410). Patients diagnosed with either MGUS (n=6996), AL amyloidosis (n=315), or both (n=32) who had positive M-protein results on Mass-Fix, either prior to or within one month after the diagnosis, were included for a retrospective clinical association study of LC fragments and disease. To validate that these fragments were not artifacts of MS analysis, PAGE gel analysis and Western blots were performed using clinical residual serum from 9 patients: 2 IgG/kappa and 3 IgG/lambda patients with detectable LC fragments and 2 IgG/kappa and 2 IgG/lambda patients without fragments. Samples were purified using antibodies against gamma heavy chains and reduced with TCEP prior to gel electrophoresis and Western blot. Results Of the 15410 patients with monoclonal proteins detected by Mass-Fix, 2896 (18.7%) had detectable LC fragments; kappa fragments in 1533 and lambda fragments in 1363. Most often, the fragments were observed in pairs, with combined molecular weight typically equaled that of the full-length monoclonal LC present in the same sample. LC fragments were observed more frequently among patients diagnosed with AL amyloidosis (118/347=34%) compared to those without the diagnosis (685/6996=10%), with an odds ratio of 4.75 (95% CI, 3.75-6.01). PAGE with Coomassie blue staining revealed bands with sizes representing LC fragments in the five M-protein samples with detectable LC fragments on Mass-Fix, while no such bands observed in those without LC fragments. Western blot using anti-kappa or anti-lambda antibodies confirmed the identity of the bands with higher molecular weight as a fragment of LC in each of the IgG/kappa and IgG/lambda samples. Conclusion Mass-Fix is able to discriminate LC fragments from intact LC based on their sizes. The detection of LC fragments with Western blot without ionization suggests a biological origin rather than analytical artifacts from MS. The clinical association study suggests that LC fragments may have utility in increasing the suspicion of AL amyloidosis in M-protein positive patients with LC fragments, potentially facilitating earlier intervention and improving patient outcomes.
Comparison of 2 Free Light Chain Assays: Performance of the Free Light Chain Ratio as a Risk Factor for MGUS Progression
Andress, Benjamin , Coker, Jonathan, Dasari, Surendra , Murray, David , Willrich, Maria Alice V. , Andress, Benjamin D, Pazdernik, Vanessa M K, Larson, Dirk R. , Coker, Jonathan D, Rajkumar, Vincent, Murray, David L , Willrich, Maria A , Wang, Qian , Pazdernik, Vanessa , Rajkumar, S. Vincent , Dispenzieri, Angela

Clinical Chemistry | August 29, 2024 | Volume: 70 | Issue: 10 | Pages: 1268-1278

10.1093/clinchem/hvae124 Get It

Abstract Background New immunoglobulin free light chain (FLC) assays are available. Despite analytical differences, it seems possible to use free light chain ratios (FLCr) generated by different assays and apply similar cut-points for the diagnosis of multiple myeloma. It is still unknown if we can use different assays for risk stratification of patients with monoclonal gammopathy of undetermined significance (MGUS). Methods Patients diagnosed with MGUS (N = 923) had FLC tested using a nephelometric FreeLite (Binding Site) assay on BNII instruments (Siemens) and a Sebia FLC assay (Sebia) on a DS2 ELISA analyzer (Dynex). Patients were followed up for progression to any plasma cell dyscrasia (PCD) for several decades. The Mayo MGUS risk stratification model for progression was assessed with both assays (M-spike >1.5 g/dL; non-IgG isotype and abnormal FLCr), using package insert reference intervals (RI) and a new metric called principal component 2 (PC2). Results There were 94 events of progression to PCD in the cohort during a median of 38 years of follow-up. Freelite and Sebia FLC showed similar hazard ratios in the risk models for elevated FLCr. An alternative clinical decision point lower than the package insert RI was evaluated for the Sebia assay, which improved risk stratification for patients with a low FLCr. The PC2 metric showed similar performance to the FLCr in models, without superior benefit. Conclusions The Sebia ELISA-based FLC assay can be employed in an MGUS risk stratification model with similar performance to the original 2005 risk stratification model using the FreeLite assay.