Significance of Serum Free Light Chain Estimation with Detectable Serum Monoclonal Protein on Immunofixation Electrophoresis.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 5048-5048
Author(s):  
Jayesh Mehta ◽  
Regina Stein ◽  
Eric Vickrey ◽  
William Resseguie ◽  
Seema Singhal

Abstract The serum free light chain (SFLC) assay is useful in detecting monoclonal protein when there no detectable M protein on immunofixation electrophoresis (IFE). There are limited data on its value when IFE is positive. In a small series of 5 patients achieving CR, normalization of SFKLR was found to precede IFE negativity by a few weeks (Moesbauer et al. ASH 2005). Results on 231 serum samples from myeloma patients (most on therapy) where serum IFE showed IgA κ (n=33), IgA λ (n=13), IgG κ (n=153), or IgG λ (n=32), and where simultaneous SFLC and immunoglobulin (Ig) estimation had been performed were analyzed. Samples with >1 monoclonal band or multiple oligoclonal bands were excluded. The serum free κ:λ ratio (SFKLR; normal 0.26–1.65) was abnormal in 113 (49%) and normal in 118 (51%). IgG and IgA levels were compared in the context of normal versus abnormal SFKLR within each of the 4 isotypes (IgA κ, IgAλ, IgG κ, IgG λ). The table below shows that involved Ig levels were higher with abnormal than with normal SFKLR. However, uninvolved Ig levels were higher with normal than with abnormal SFKLR suggesting that normalization of SFKLR may mark a response to therapy - improved uninvolved Ig levels being evidence of response. Monoclonal protein Immunoglobulin Abnormal SFKLR Normal SFKLR P IgA kappa IgA 1640 (190–4000) 515 (102–2230) 0.048 IgA kappa IgG 419 (118–1120) 404 (197–1740) 0.39 IgA lambda IgA 408 (159–696) 704 (180–779) 0.17 IgA lambda IgG 619 (495–1510) 1530 (533–1700) 0.025 IgG kappa IgA 42 (7–225) 94 (7–642) 0.0009 IgG kappa IgG 1490 (585–5560) 1260 (327–2690) 0.004 IgG lambda IgA 32 (7–121) 96 (19–562) 0.047 IgG lambda IgG 2060 (555–12300) 1050 (432–2830) 0.018 However, does normalization of SFKLR universally herald IFE negativity? This is an important unanswered question because SFKLR is normal in a high proportion of samples which still show monoclonal protein on IFE. The figures below show scatter plots of IgG and IgA for each of the 4 isotypes for normal vs abnormal SFKLR. Within each plot, there is no obvious pattern distinguishing normal (x) from abnormal (o) SFKLR. However, there are a number of normal SFKLR points with high involved and low uninvolved Ig levels where a normal SFKLR is difficult to explain. Figure Figure Figure Figure We conclude that the SFLC assay often reveals normal SFKLR even when there is a detectable monoclonal protein in the serum. Whether this always predicts eventual paraprotein clearance and achievement of IFE negativity in patients on therapy is unknown, and needs to be studied prospectively.

Author(s):  
Richard B Fulton ◽  
Suran L Fernando

Background The potential for serum free light chain (sFLC) assay measurements to replace urine electrophoresis (uEPG) and to also diminish the need for serum immunofixation (sIFE) in the screening for monoclonal gammopathy was assessed. A testing algorithm for monoclonal protein was developed based on our data and cost analysis. Methods Data from 890 consecutive sFLC requests were retrospectively analysed. These included 549 samples for serum electrophoresis (sEPG), 447 for sIFE, and 318 for uEPG and urine immunofixation (uIFE). A total of 219 samples had sFLC, sEPG, sIFE and uEPG + uIFE performed. The ability of different test combinations to detect the presence of monoclonal proteins was compared. Results The sFLC κ/ λ ratio (FLC ratio) indicated monoclonal light chains in 12% more samples than uEPG + uIFE. The combination of sEPG and FLC ratio detected monoclonal proteins in 49% more samples than the combination of sEPG and sIFE. Furthermore, the sEPG + FLC ratio combination detected monoclonal protein in 6% more samples than were detected by the combined performance of sEPG, sIFE, uEPG and uIFE. However, non-linearity of the assay, the expense of repeat determinations due to the narrow measuring ranges, and frequent antigen excess checks were found to be limitations of the sFLC assay in this study. Conclusion The FLC ratio is a more sensitive method than uIFE in the detection of monoclonal light chains and may substantially reduce the need for onerous 24 h urine collections. Our proposed algorithm for the evaluation of monoclonal gammopathy incorporates the sFLC assay, resulting in a reduction in the performance of labour intensive sIFE and uEPG + uIFE while still increasing the detection of monoclonal proteins.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 5121-5121 ◽  
Author(s):  
E. Vickrey ◽  
S. Allen ◽  
J. Krishnamurthy ◽  
V. Singh ◽  
J. Mehta ◽  
...  

Abstract During treatment, patients with myeloma can develop restricted bands in the serum or urine that are different from the original M protein on serum (SIFE) and urine (UIFE) immunofixation electrophoresis. These so-called oligoclonal bands represent transient aberrant recovery of the immune system, and are not associated with any adverse implications. Unless SIFE/UIFE are checked and the bands identified as oligoclonal, a mistaken diagnosis of persistent or recurrent disease may be made. It is not known if the pattern of serum free light chain (SFLC) levels helps differentiate between oligoclonal bands and persistent/recurrent M protein. Data on 219 myeloma patients with serial follow-up were evaluated to identify 3537 encounters which fulfilled the following criteria: available SFLC levels, and 1 or more restricted bands identified on SIFE or UIFE. Patients with non-secretory and biclonal disease were excluded. If a heavy or light chain not part of the original M protein was seen, the presence of an oligoclonal band was diagnosed. If the original M protein was identified intact (e.g. the detection of IgG kappa in a patient with IgG kappa myeloma) or its constituent heavy or light chain were identified in an unbound fashion (e.g. the detection of free IgG or free kappa in a patient with IgG kappa myeloma), the original M protein was felt to be present. Results with oligoclonal bands were further characterized by the additional presence or absence of the original M protein. Only the original M protein was seen in 2661 (75%), 352 (10%) had oligoclonal bands without the original M protein, and an oligoclonal band was seen with the original M protein in 524 (15%). The SFLC ratio was normal (0.26–1.65) in 1306 (37%) and abnormal in 2231 (63%). The relationship of the nature of the restricted bands seen with the SFLC ratio was assessed in two ways in preliminary analysis. In the first, the SFLC ratio was classified as normal or abnormal. In the second, abnormal ratios were classified further as concordant (<0.26 for lambda disease and >1.65 for kappa disease) or discordant (<0.26 for kappa disease and >1.65 for lambda disease). Discordant ratios were grouped with normal because they did not reflect an excess of the abnormal light chain associated with the original M protein. The following table shows the relationship between the nature of the restricted bands and the SFLC ratio: SFLC ratio SFLC ratio Restricted band category Normal Abnormal Normal or discordant abnormal Concordant abnormal Original M protein only 843 (32%) 1818(68%) 919 (35%) 1742 (65%) Oligoclonal band(s) only 185 (53%) 167(47%) 215 (61%) 137 (39%) Oligoclonal band(s) with original M protein 278 (53%) 246 (47%) 302 (58%) 222 (42%) P <0.0001 <0.0001 As the table shows, the SFLC ratio was normal significantly more frequently when oligoclonal bands were present. This appeared to be unaffected by the presence of bands resembling the original M protein. As the SFLC ratio can be affected by treatment-induced suppression of the uninvolved free light chain, the data were also analyzed as follows: concordant abnormal SFLC ratio with elevated involved free light chain (1890; 53%) versus the rest (1647; 47%). Finally, based on the hypothesis that elevated uninvolved free light chain levels are less likely to be seen with active disease, readings with elevated uninvolved free light chains were transferred from the former category into the latter. The following table shows the relationship between the nature of the restricted bands and the above categories: SFLC ratio SFLC ratio Restricted band category Normal (All others) Abnormal (Concordant abnormal with elevated involved free light chain) Normal (All others) Abnormal (Concordant abnormal with elevated involved free light chain; excluding elevated uninvolved free light chain) Original M protein only 1246 (47%) 1415 (53%) 1299 (49%) 1362 (51%) Oligoclonal band(s) only 247 (70%) 105 (30%) 257 (73%) 95 (27%) Oligoclonal band(s) with original M protein 343 (65%) 181 (35%) 361 (69%) 163 (31%) P <0.0001 <0.0001 Once again, as the table shows, the SFLC ratio was normal (or equivalent of normal) significantly more often when oligoclonal bands were present. We conclude that the SFLC ratio is significantly more likely to be normal when oligoclonal bands are present in patients with myeloma. However, the differences between patients with and without oligoclonal bands are not definitive enough to predict the nature of the bands seen. SIFE and UIFE remain the only definitive means of identifying the nature of the restricted bands seen in patients with myeloma on therapy.


2018 ◽  
Vol 93 (10) ◽  
pp. 1207-1210 ◽  
Author(s):  
Marcella Tschautscher ◽  
Vincent Rajkumar ◽  
Angela Dispenzieri ◽  
Martha Lacy ◽  
Morie Gertz ◽  
...  

Blood ◽  
2007 ◽  
Vol 110 (3) ◽  
pp. 827-832 ◽  
Author(s):  
Frits van Rhee ◽  
Vanessa Bolejack ◽  
Klaus Hollmig ◽  
Mauricio Pineda-Roman ◽  
Elias Anaissie ◽  
...  

Abstract Serum-free light chain (SFLC) levels are useful for diagnosing nonsecretory myeloma and monitoring response in light-chain–only disease, especially in the presence of renal failure. As part of a tandem autotransplantation trial for newly diagnosed multiple myeloma, SFLC levels were measured at baseline, within 7 days of starting the first cycle, and before both the second induction cycle and the first transplantation. SFLC baseline levels higher than 75 mg/dL (top tertile) identified 33% of 301 patients with higher near-complete response rate (n-CR) to induction therapy (37% vs 20%, P = .002) yet inferior 24-month overall survival (OS: 76% vs 91%, P < .001) and event-free survival (EFS: 73% vs 90%, P < .001), retaining independent prognostic significance for both EFS (HR = 2.40, P = .008) and OS (HR = 2.43, P = .016). Baseline SFLC higher than 75 mg/dL was associated with light-chain–only secretion (P < .001), creatinine level 176.8 μM (2 mg/dL) or higher (P < .001), beta-2-microglobulin 297.5 nM/L (3.5 mg/L) or higher (P < .001), lactate dehydrogenase 190 U/L or higher (P < .001), and bone marrow plasmacytosis higher than 30% (P = .003). Additional independent adverse implications were conferred by top-tertile SFLC reductions before cycle 2 (OS: HR = 2.97, P = .003; EFS: HR = 2.56, P = .003) and before transplantation (OS: HR = 3.31, P = .001; EFS: HR = 2.65, P = .003). Unlike baseline and follow-up analyses of serum and urine M-proteins, high SFLC levels at baseline—reflecting more aggressive disease—and steeper reductions after therapy identified patients with inferior survival.


2021 ◽  
Vol 156 (Supplement_1) ◽  
pp. S13-S14
Author(s):  
Rebecca Treger ◽  
Kathleen Hutchinson ◽  
Andrew Bryan ◽  
Chihiro Morishima

Abstract Protein and immunofixation (IFIX) electrophoresis are used to diagnose and monitor monoclonal gammopathies. While IFIX detects clonal production of intact immunoglobulins and free light chains (FLC), the latter can also be quantified using a serum free light chain (SFLC) assay, in which polyclonal antisera detects epitopes specific for free kappa (KFLC) or lambda light chains (LFLC). An abnormal KFLC: LFLC ratio (KLR) serves as a surrogate for clonality. While the SFLC assay is highly sensitive, normal LFLC (&lt;2.63mg/dL) and KLR results (&gt;0.26 & &lt;1.65) were found in samples with distinct lambda monoclonal free light chains visualized by IFIX (X-LMFLC). To investigate this discordance, contemporaneous SFLC or KLR values were evaluated for their ability to accurately classify monoclonal FLCs identified by IFIX. We performed a retrospective analysis of serum and urine IFIX (Sebia Hydrasys) and SFLC (Freelite®, Binding Site) results from our institution between July 2010 through December 2020, using R 4.0.2 and Tidyverse packages. From among 9,594 encounters in which a single monoclonal component was initially identified by IFIX, 157 X-LMFLC and 131 X-KMFLC samples were analyzed. Elevated LFLC with normal KFLC was identified in 105/157 X-LMFLC samples (67%), while both LFLC and KFLC were elevated in 42/157 samples (27%). Concordance between X-KMFLC and KFLC was markedly higher, where 122/131 samples (93%) displayed elevated kappa FLC (&gt;1.94mg/dL) with normal LFLC, and only 7/131 X-KMFLC samples (5%) possessed both elevated KFLC and LFLC. The use of KLR to identify pathogenic monoclonal free light chains improved lambda concordance to 85%; however, 19/157 (12%) of X-LMFLC samples still exhibited normal KLR. High concordance of 98% was again observed for X-KMFLC with abnormal KLR. When samples were segregated according to normal or impaired renal function (eGFR &gt; or ≤60mL/min/1.73m², respectively), this disparate identification of X-LMFLC and X-KMFLC by the SFLC assay persisted, suggesting that renal dysfunction (as measured by eGFR) does not underlie this phenomenon. Lastly, we corroborated the above findings in a larger sample population by examining patients with urine Bence Jones FLC identified by IFIX who had free or intact monoclonal components in serum (N=724), grouped by lambda or kappa light chain involvement. The cause(s) of the discrepant performance by the Freelite® SFLC assay, relative to the Sebia Hydrasys IFIX assay, for identifying lambda FLC components is currently unclear. Possible contributory factors include assay reference range cutoffs, other patient disease parameters, and differences in assay-specific polyclonal antisera. Future analyses of these factors will help to further characterize SFLC assay performance and elucidate how interpretation of composite serum FLC test results can be improved to better guide patient management.


Blood ◽  
2009 ◽  
Vol 114 (1) ◽  
pp. 38-39 ◽  
Author(s):  
Seema Singhal ◽  
Eric Vickrey ◽  
Jairam Krishnamurthy ◽  
Veerpal Singh ◽  
Sharon Allen ◽  
...  

Abstract“Stringent” complete remission in myeloma has been defined by a normal serum free light chain ratio (SFLCR) in addition to the standard criteria for CR. 2648 serial samples from 122 IgG or IgA myeloma patients were studied to explore the relationship between SFLCR and serum immunofixation electrophoresis (SIFE). SFLCR was normal in 34% of cases with positive SIFE and abnormal in 66%. SFLCR was normal in 69% of cases with negative SIFE and abnormal in 31%. When evaluated with SIFE as the benchmark, the sensitivity of SFLCR was 66% and specificity was 69%. These findings were unchanged when abnormal SFLCR values were classified as concordant (< 0.26 for λ disease and > 1.65 for κ) or discordant (< 0.26 for κ disease and > 1.65 for λ). Additional studies are required to determine the temporal relationship between SFLCR normalization and paraprotein clearance. Until then, the role of SFLCR in defining response remains controversial.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 5064-5064 ◽  
Author(s):  
Shaji Kumar ◽  
S. Vincent Rajkumar ◽  
Matthew Plevak ◽  
Robert A. Kyle ◽  
Jerry A. Katzmann ◽  
...  

Abstract Background: The measurement of monoclonal (M) protein in the serum and urine is critical for response assessment and disease evaluation in patients with multiple myeloma (MM). The serum free light chain (FLC) assay offers a new and sensitive method of assessing response to therapy. An important question that has not been adequately addressed is the correlation between 24 hour urine M protein levels and serum FLC measurements, and the extent to which response to therapy estimated using the FLC assay correlates with that assessed using the 24 hour urine M protein level. Methods: A total of 2194 sets of data, with simultaneous UPEP and serum FLC measurement, were studied. These included 752 unique patients, with individual patients having 1–23 paired assessments over time. FLC estimation was carried out using the serum FLC assay (Freelite; The Binding Site Limited, UK) performed on a Dade-Behring Nephelometer. Based on the established reference range, kappa/lambda FLC ratio &lt;0.26 or &gt;1.65 were defined as abnormal indicating the presence of monoclonal lambda and kappa FLC, respectively. The monoclonal light chain isotype was considered the involved FLC isotype, and the opposite light chain type as the uninvolved FLC type. The Urine M protein by UPEP was compared to the serum levels of the involved light chain using Spearman Rank Correlation. For comparisons in individual patients over time, those with at least 10 measurements each were studied. Results: The median involved FLC level in patients with an undetectable urine M protein was 2.3 mg/dl compared to 32.2 mg/dL among those with a detectable urine M protein (P&lt;0.001). Among the 1676 points with an abnormal FLC ratio, only 75% had an M protein detected in the urine, P &lt; 0.001. Conversely, among patients with a positive urine M-protein, 91% had an abnormal FLC ratio. When all the 2194 data points were considered together, there was a significant correlation between the urine M protein level and the FLC levels (FLC level calculated as the difference between involved and uninvolved levels), rho=0.763, P &lt; 0.001. The correlation did not change when patients with a serum creatinine of over 2.5 were excluded. The correlation between FLC levels and urinary M protein can be affected by several factors such as renal function that will differ across patients. Therefore, we examined whether the correlation between the two variables is stronger when the variations introduced by inter-patient differences in the relationship between the two variables are eliminated. In order to do this, we studied individual patients on whom multiple data points over time were available. One patient who had the maximum number of paired assessments (23 pairs) of serum FLC level and urinary M protein; the correlation between the two variables over time was highly significant, rho 0.981, p&lt;0.001. Similarly 26 other patients who had measurable urine M protein levels in whom 10 nor more paired observations over time were available, also showed significant correlations, rho, range 0.726–0.981, p&lt;0.01. Conclusion: There is a significant correlation between urine M-protein and serum free light chain across patients and the correlation is stronger in individual patients in whom the effect of inter-patient variation in other confounding factors can be eliminated. These data if confirmed in a clinical trial setting would support the use of serum FLC levels instead of urinary M protein measurements to assess response to therapy.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3347-3347 ◽  
Author(s):  
Thomas Dejoie ◽  
Michel Attal ◽  
Philippe Moreau ◽  
Jean-Luc Harousseau ◽  
Herve Avet-Loiseau

Abstract The introduction of the serum free light chain (sFLC) changed the diagnostic paradigm for patients with B cell disorders. IMWG guideline recommends the assay as a replacement for 24h urine at diagnosis, however with the exception of oligosecretory disease the assay is not recommended as a tool to monitor patients. One rationale for this recommendation is that to date, studies have compared the concentrations of FLC as measured by the two tests rather than determine which test provides the more reliable clinical assessment. Here we compare the sensitivities of FLC and 24h urine and comment on the reliability of each to monitor patients. Sequential sera from 25 LCMM (14 FLCκ, 11 FLCλ; stage I: 10, II: 10, III: 5) and 157 IIMM patients (79 IgGκ, 34 IgGλ, 26 IgAκ, 18 IgAλ; Stage I: 46, II: 75, III: 35, 1 missing) enrolled onto the IFM 2007-02 MM trial were analysed. Serum FLCκ and FLCλ levels were measured by Freelite® in samples collected at presentation, after cycles 2 and 4 of therapy and post ASCT. Results were compared to previously published sFLC reference ranges (sFLCκ 3.3-19.4 mg/L, sFLCλ 5.7-26.3 mg/L, sFLCκ/λ ratio 0.26-1.65), SPEP, UPEP sIFE and uIFE. IMWG guidelines were used to define measurable disease and to assess response the therapy. Quadratic Weighted Kappa (WK) analysis was performed to assess agreement in responses assigned by sFLC and urine tests. All 25 LCMM patients had abnormal sFLC ratios (14 FLCκ, 11 FLCλ) and measurable disease at presentation (iFLC 3620 (689-22000) mg/L). Similarly, all patients were positive by uIFE and had measurable disease by UPE (1940 (490-42000) mg/24h). However, in keeping with previous reports quantitative correlation between the two assays was poor (r=0.27). Responses assigned by sFLC and UPEP were concordant in 11/25 (44%) patients, although in 4/11 (40%) timing of the response was different (UPEP 89 (58-118) days; sFLC 226 (216-227) days). In the remaining 14/25 patients the responses assigned using the two tests differed. In 7/14 patients UPEP and uIFE became negative whilst the FLC ratio remained abnormal; in 1/7 patient sIFE confirmed the presence of the M protein. In 3 patients FLC identified relapse, while UPEP was negative or indicated response. In a further 2 patients FLC identified no response whilst UPEP initially identified a response and subsequent relapse. Overall, a moderate concordance was identified between the responses assigned by sFLC and urine tests (WK (95% CI): 0.59 (0.36-0.82)). At presentation, 154/157 (98%) IIMM patients had abnormal FLC ratios (FLCκ ratio 57 (2-33191); FLCλ ratio 0.009 (0.00003-0.25)), whereas only 85/157 (54%) patients were positive by uIFE and 67/157 (43%) by UPEP. 98/157 (62%) had measurable disease using sFLC (κFLC 491 (101-15600) mg/L; λFLC 441 (101-14100) mg/L), and 55/157 (35%) had measurable disease by UPEP (1000 (210-9200) mg/24h). 53/157 (34%) patients had measurable disease by both methods. The correlation between sFLC and UPEP measurements was poor (r=0.36) as was the correlation between intact immunoglobulin measurements by SPEP and sFLC (r=-0.06) or UPEP (r=-0.26). In 53 IIMM patients with measurable disease by both FLC and UPEP, sFLC ratios normalised in 14/53 patients (in 8/14 sIFE remained positive) while uIFE became negative in 33/53 patients (20/33 remained sIFE positive). WK showed better agreement for response assignment between intact immunoglobulin and sFLC measurements (WK (95% CI): 0.63 (0.48-0.79); substantial agreement) than with urine tests (0.49 (0.27-0.72); moderate agreement). Additionally, there was an association between depth of response by sFLC pre- and post-transplant: patients achieving >VGPR before transplant were more likely to achieve >VGPR post-transplant compared with patients who achieved <VGPR prior to transplant (96.2% vs. 63.2%, respectively; p=0.001). Finally 5/157 IIMM patients were oligosecretory and had measurable levels of disease by both UPEP and sFLC, but not by SPEP. In all 5 patients UPEP became negative by cycle 2; however, an abnormal sFLC ratio and positive sIFE indicated persistent disease. sFLC was a more sensitive tool and showed a greater degree of concordance with IFE and SPEP than UPEP in LCMM and IIMM patients respectively during patient monitoring. Furthermore, >90% reduction in sFLC prior to transplant was associated with post-transplant response in IIMM patients. Larger studies with patient outcome are required to validate our findings. Disclosures No relevant conflicts of interest to declare.


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