Wang, Qian

Abstract Background Hypergammaglobulinemia poses a challenge for identifying and quantitating monoclonal proteins (M-protein). The Increased polyclonal immunoglobulin background can lead to imprecise estimation of the M-protein when quantitated by serum protein electrophoresis (SPEP). This is especially true using the perpendicular drop method of peak integration. Hypergammaglobulinemia also makes it difficult to detect small M-proteins on immunofixation electrophoresis. Overestimation of M-protein concentration can lead to unnecessary follow-ups while missing small M-proteins can mask the underlying diagnosis for patients. In this study, we retrospectively evaluated the prevalence and concentration of M-protein within polyclonal hypergamma backgrounds using immunocapture matrix-assisted laser desorption ionization time-of-flight mass-spectrometry (MASS-FIX). Methods We retrospectively analyzed 47061 unique patients tested for SPEP and MASS-FIX in 2022 at Mayo Clinic. If a patient underwent multiple tests during this period, only the first result was included in the analysis. Polyclonal hypergammaglobulinemia was defined as a gamma fraction >1.7g/dL by SPEP. MASS-FIX was used to identify and isotype M-proteins. MASS-FIX was then combined with total immunoglobin quantitation (IgG, IgA or IgM) using nephelometry to quantify concentration of the M- protein using mathematical modeling (method currently under validation). Results Of the 47,061 unique patients, 24,796 were normal by SPEP (53%). M-spikes were present in 5,808 cases (12%). Hypogammaglobulinemia (gamma fraction < 0.5g/dL) in 2897 cases (6%). Small non-quantifiable M-proteins by SPEP were present in 8363 cases (18%). [JC2] There were 4222 hypergamma cases in the cohort (9%), without a quantitative M-spike on SPEP. Of these, 16.1% (680/4222) patients had an M-protein by MASS-FIX. When polyclonal hypergamma was the sole SPEP abnormality, 5.5% were MASS-FIX positive. However, when a small abnormality pattern was observed within the polyclonal hypergamma background on SPEP, 50% of patients were MASS-FIX positive. The most common isotype was IgG (27.2%), followed by IgM (10.2%), IgA (8.1%), and biclonal (3.7%), which is similar to overall isotype distribution in other backgrounds. Using quantitative MASS-FIX, we identified that 95% MASS-FIX positive small monoclonal proteins in polyclonal hypergamma are < 1 g/dL, which is the recommended limited of quantitation for M-protein using SPEP in setting of hypergammaglobulinemia. Conclusion Majority of polyclonal hypergammaglobulinemia cases (83.9%) do not have a monoclonal protein. MASS-FIX allows quantitation of small monoclonal proteins below the SPEP limit of quantitation, which can enhance our understanding of conditions which present with small M-proteins in a polyclonal hypergammaglobulinemia background. Small visual abnormalities within polyclonal hypergamma background on SPEP should be followed-up with immunofixation or MASS-FIX to confirm the presence or absence of M- proteins.

Abstract Monoclonal gammopathy of undetermined significance (MGUS) is the most common plasma cell dyscrasia, present in ~3% of the population over 50yo. MGUS carries a 1% per year risk of malignant transformation for the rest of the affected individual’s life; long-term followup is recommended for all patients with MGUS. Different risk stratification models exist to evaluate potential for progression to malignancy. The Mayo risk model, published in 2005, uses the presence of 3 risk factors (abnormal free light chain (FLC) kappa/lambda ratio (KLr), M-spike ≥1.5 g/dL, non-IgG isotype) to confer a 3% per year risk of progression instead of the average 1%. For many years, the only FDA-approved measurement of FLC was the FreeLite assay (Binding Site), which uses polyclonal sheep antibodies. Recently, other FLC assays have become available in the US, including the Sebia FLC ELISA, which employs rabbit polyclonal antibodies. The assays have similar reference intervals (RI), however differences in analytical performance between the FreeLite and Sebia were previously reported. The objective of this study was to determine the performance of the Sebia FLC assay in the Mayo risk stratification model of MGUS patients for progression in comparison to FreeLite. Cryopreserved serum samples from a cohort of 923 MGUS patients with available long-term clinical followup (median follow-up time: 7.7years, range: 0.0 to 46.9) was used to measure FLC using Sebia ELISA on a DS2 automated platform (Dynex) and FreeLite on a Siemens BNII nephelometer. Passing-Bablok (P-B) regression and Spearman correlation were used to compare the KLr between assays. Cox proportional hazards models for progression to multiple myeloma or a related plasma cell malignancy were used to estimate the prognostic effect and ability to discriminate low and high risk of abnormal KLr for each assay. Analyses were carried out in R software. Correlation between Sebia and FreeLite KLr had a Spearman r = 0.796; P-B fit: Sebia KLr = 0.825*(FreeLite KLr) – 0.048, 95% CI of slope: 0.810-0.839). With FreeLite, 32.9% of patients had a KLr outside RI for the method. For Sebia, 48.0% of patients had a KLr outside the method specific RI. Despite the individual samples analytical disagreement, both assays showed similar clinical performance for risk stratification: Sebia abnormal KLr was associated with a hazard ratio (HR) of 2.77 (95%CI: 1.79-4.28 c-statistic=0.6505) for progression, while FreeLite abnormal KLr was associated with a HR of 3.31 (95%CI: 2.20-5.00, c-statistic=0.6529), and the difference in c-statistics was not statistically significant (p=0.93). The risk assessment is performed only once per patient, at the initial diagnosis of MGUS. The similarity in clinical performance between FreeLite and Sebia assays support the use of either method as a predictor for risk of progression for MGUS patients.

Abstract Background Interleukin 6 (IL-6) plays important roles in both innate and adaptive immunity, while dysregulated persistent production of IL-6 is involved in pathological development of various diseases associated with inflammation. Targeting the IL-6 pathway has led to many innovative treatment approaches. Siltuximab and Tocilizumab are monoclonal antibodies targeting IL-6 and IL-6 receptors respectively and have been FDA-approved for treatment of Castleman disease (Siltuximab), a rare lymphoproliferative disorder characterized by hyperproduction of IL-6 with an unknown prevalence, autoimmune diseases such as rheumatoid arthritis (Tocilizumab), and both shown potential as treatment for cytokine release syndrome in hospitalized COVID-19 patients. However, the presence of siltuximab can interfere with IL-6 assays, leading to the use of C-reactive protein (CRP) as a surrogate marker to monitor its efficacy. Aim To evaluate potential Siltuximab and Tocilizumab antibody interference on IL-6 measurements in three different IL-6 protein immunoassays. Method: Serum or EDTA plasma sample pools with different IL-6 concentrations ranging from low (2.3 – 11.1 pg/mL, around the reference interval cut-off for each assay) to high (18.5 – 1142 pg/mL), above reference interval cut-off for each assay) were utilized. Various concentrations of Siltuximab or Tocilizumab were spiked into the sample pools (at 10% of total volume) to achieve final concentrations up to 600 µg/mL and up to 300 µg/mL, respectively. Sample spiked with 10% saline were used as no-drug control. Three assays were used to measure IL-6 concentration: Beckman Access IL-6 assay on UniCel DxI 800 (Beckman Coulter), V-PLEX Plus human IL-6 assay on QuickPlex SQ120 (Meso Scale Diagnostics), and a Luminex cytokine panel assay developed in house (R&D systems) with upper reference interval limits of 6.4,1.8 and 5 pg/mL respectively. Results Siltuximab interfered with the measurement of IL-6 for all three assays. A significant interference (> 20% reduction) was observed at even a very low siltuximab concentrations in all three assays (0.05 µg/mL). In the presence of 5 µg/mL or greater Siltuximab, a maximum reduction of 93%, 83%, and 40% was observed for Beckman Access, R&D Luminex assay, and V-PLEX Plus Mesoscale assay, respectively. Tocilizumab did not interfere with the measurement of IL-6 in the three assays when serum was spiked with up to 300 µg/mL of the drug. Conclusion Siltuximab falsely reduce the measured IL-6 concentration on all three immunoassays tested in this study to differing degrees, whereas Tocilizumab does not. Consider the therapeutic range of Siltuximab (84 to 332 µg/mL) for treatment of Castleman disease, and a half-life of 20.6 days, measurement of IL-6 may not be useful in Siltuximab treated patients for an extended time-period.