Kyle, Robert A.

Abstract Hyperdiploid MM (H-MM), characterized by recurrent trisomies constitute about 50% of MM, yet very little is known about its pathogenesis and oncogenic mechanisms. Studies in leukemia and solid tumors have shown gene dosage effect of aneuploidy on gene expression. To determine the possible gene dosage effect and deregulated cellular program in H-MM we undertook a gene expression study of CD138-enriched plasma-cell RNA from 53 hyperdiploid and 37 non-hyperdiploid MM (NH-MM) patients using the Affymetrix U133A chip (Affymetrix, Santa Clara, CA). Gene expression data was analyzed using GeneSpring 7 (Agilent Technologies, Palo Alto, CA). Genes differentially expressed between H-MM and NH-MM were obtained by t-test (p<0.01). The majority of the differentially expressed genes (57%) were under-expressed in H-MM. Genes located on the commonly trisomic chromosomes were mostly (but not always) over-expressed in H-MM and constitute 76% of over-expressed genes. Chromosome 1 contained the most differentially expressed genes (17%) followed by chromosome 12 (9%), and 19 (8%). To examine the relationship of gene copy number to gene expression, we examined the expression of genes on chromosomes 9 and 15 in subjects with 2 copies (15 normal control and 20 NH-MM) and 3 copies (12 H-MM) of each chromosome as detected by interphase FISH. We then derived a ratio of the mean expression of each gene on these chromosomes between patients with 3 copies and 2 copies of the chromosome. If a simple relationship exists between gene expression and gene copy number, one would expect the ratio of expression of most genes on these two chromosomes to be about 1.5 in H-MM compared to NH-MM. However, many genes have ratios either higher than 2 or lower than 0.5. Furthermore, when the heterogeneity of cells with underlying trisomies is taken into consideration by correcting the ratio for the number of cells with trisomies, the actual ratio is always lower than the expected ratio. When the expression of genes on a chromosome was compressed to a median value, this value was always higher in the trisomic chromosomes for H-MM compared to NH-MM. The data suggests that although gene dosage influence gene expression, the relationship is complex and some genes are more gene dosage dependent than others. Amongst the differentially expressed genes with known function, 33% are involved in mRNA translation/protein synthesis. Of note, 37 of the top 100 differentially expressed genes are involved in these processes. In particular, 60 ribosomal protein (RP) genes are significantly (p<0.05) upregulated in H-MM. This signature in H-MM is not associated with increase proliferation as measured by PCLI. This predominant signature suggests that deregulated protein synthesis may be important for the biology of H-MM. Many of these RPs are involved in the synthesis of product of oncogenic pathways (e.g. MYC, NF-KB pathways) and may mediate the growth and survival of tumor cells. It is therefore possible that these tumor cells may be sensitive to the disruption of mRNA translation/protein synthesis. Targeting the mTOR pathway with rapamycin may therefore be useful for treatment of H-MM.

Abstract Background: The serum free light chain (FLC) assay is increasingly used to monitor patients (pts) with oligo-secretory or non-secretory multiple myeloma (MM) and pts with primary amyloidosis lacking measurable monoclonal protein in the serum or urine. Criteria to use this assay to assess response to therapy have recently been proposed (Rajkumar SV, Kyle RA. Best Pr Clin Haematol2005;18:585–601) but have not been validated. The goal of this study was to validate the response criteria for the FLC assay in a prospective trial of lenalidomide plus dexamethasone in newly diagnosed MM. Methods: 34 pts were enrolled in the trial; 27 pts who had serial FLC assessments were studied. FLC estimation was carried out using the serum FLC assay (FreeliteH, The Binding Site Limited, UK) performed on a Dade-Behring Nephelometer. Pts with κ /λ FLC ratio <0.26 were defined as having monoclonal λ FLC and those with ratios >1.65 as having a monoclonal κ FLC. The monoclonal light chain isotype was considered the “involved” FLC isotype, and the opposite light chain type as the “uninvolved” FLC type. Partial response (PR) required an abnormal baseline FLC ratio and any one of the two following criteria: 1) a 50% decrease in the level of the involved FLC plus a 50% decrease (or normalization) in the ratio of involved/uninvolved FLC or 2) 50% decrease in the difference between involved and uninvolved FLC levels. Complete response (CR) required normalization of FLC ratio and negative serum and urine immunofixation. Response at 4 months or earlier by the Bladé criteria was compared to FLC response criteria from the same evaluation. Results: Three pts had normal FLC levels and ratio and were not included in the analysis. 23 of the remaining 24 achieved a PR or better by Bladé criteria. A 50% decrease in the level of the involved FLC plus a 50% decrease (or normalization) in the ratio of involved/uninvolved FLC correctly classified 20 of the 22 responding pts (sensitivity 91%); 2 pts could not be evaluated since baseline FLC ratio could not be calculated. On the other hand, a 50% decrease in the mathematical difference between involved and uninvolved FLC levels correctly classified all 24 responding pts (sensitivity 100%). The one non-responding pt by Blade criteria was correctly classified by both FLC criteria. All pts were correctly classified by both criteria when only those with a baseline “involved” FLC level of at least ≥10mg/dL (≥100mg/L) were considered (15 pts). Conclusions: This study demonstrates that the serum FLC assay can be used to assess response to therapy. A 50% decrease in the difference between “involved” and “uninvolved” FLC levels will suffice as FLC criteria for PR, eliminating the need for the alternative criteria based on the involved FLC level and the ratio. We recommend that this FLC response criteria be used only in pts not having measurable levels of serum and /or urine M protein.The FLC response criteria will now enable most patients with oligo-secretory and non-secretory MM to enter trials for which they are currently ineligible due to “lack of measurable serum or urine M protein.” This study is limited by the lack of adequate non-responders to calculate specificity and lack pts who progressed to validate progression criteria and needs further validation.

Abstract The outcome of patients (pts) with WM, a rare B-cell malignancy, varies widely. The international community has convened a panel to develop a prognostically meaningful staging system for survival after treatment initiation. Toward establishing IPSS, we performed multivariate analyses with bootstrap validation in a series of 587 pts (median age 67, range: 28 to 95, M/F ratio: 1.7) diagnosed between September 1979 and December 2001. Diagnostic and treatment criteria fulfilled recommendations of the 2nd international WM workshop. Front-line treatment was initiated at diagnosis in 69% and 4 mo to 164 mo later in the remaining pts. Criteria for initiation of therapy included cytopenia, constitutional symptoms, organomegaly, hyperviscosity, IgM-related disorders, which pertained to 51%, 44%, 35%, 31% and 13%, respectively. Treatment regimens comprised alkylating agents, fludarabine and rituximab in 369, 195 and 23 subjects, respectively. Baseline parameters included age>65 yr in 57%, Hb≤11.5 g/dL in 65%, platelet count ≤100 x109/L in 9%, granulocyte count ≤1.5 x109/L in 9%, B2M >3 mg/L in 56%, albumin ≤3.5 g/dL in 36% and monoclonal protein >7.0 g/dL in 7%. With a median follow-up of 64 mo (range, 6 mo–182 mo), the median survival after treatment initiation was 87 mo (95%CI 79–103) regardless of the type of therapy applied (p=0.3). Using results of univariate survival analyses, recursive partitioning and martingale residuals analyses, 7 adverse characteristics for inclusion in multivariate analyses were identified during an expert meeting: age >65 yr, platelet count ≤ 100x109/L, B2M >3 mg/L, M-protein >7.0 g/dL, granulocytes ≤1.5 x109/L, Hb ≤11.5 g/dL and albumin ≤3.5 g/dL. The Cox proportional hazard model with stepwise selection selected the first 6 covariates. Bootstrap resampling (500 replicates) validated the selection of the first 4 covariates in at least 80% of the replicates. Selection of at least one of the last 2 covariates in more than 80% of the replicates indicated a correlation between these 2 covariates, and validated the inclusion of Hb only. Using the combination of age, Hb, platelet count, B2M and M-protein, low risk was defined by the presence of ≤1 adverse characteristic except age, high risk by the presence of >2 adverse characteristics; the remaining patients with 2 adverse characteristics or age >65yr had intermediate risk, comprising 27%, 38% and 35% of patients with 5-yr survival rates of 87%, 68% and 36% (p<0.0001), independent of treatment and age. IPSS split each subgroup identified by previous scoring systems (Morel, Merlini, Dhodapkar). Conversely, log-rank test was significant only when the latter prognostic system was assessed in low IPSS-risk pts. Thus the combination of age, B2M, M-protein and blood counts provides simple prognostic model for survival in WM, hopefully serving as an objective basis for initiation of therapy and comparison of treatment results.

Abstract Background: Clonal cytogenetic aberrations define multiple myeloma (MM) into unique subsets of the disease each one with unique clinical and biologic features, associations with laboratory and pathologic markers and presumed differential influence on disease progression. While it is widely accepted that translocations represent primordial events in the pathogenesis of MM, it is controversial whether all translocations can be associated with disease stability and non-malignant behavior (i.e. in MGUS/SMM). We have found the translocations in cases of MGUS using dual fusion, cIg enhanced, interphase FISH, while others have found this translocation at lower prevalence using single fusion interphase FISH or the RT-PCR for IgH/MMSET. We thus sought to clarify by expanding the study of the t(4;14) among patients with MGUS and SMM. Materials and methods: We studied 210 patients who had the diagnosis of MGUS and SMM and entered into the Mayo Clinic Dysproteinemia database. Patients were excluded if they had active MM, extramedullary disease or plasmacytoma. Patients with isolated lytic bone lesions could be included if they had no overt evidence of progression. All studied patients had provided written informed consent for the collection of a research bone marrow aliquot that was collected at the time of routine bone marrow procurement. All patients had cytospin slides that were studied for a t(4;14) using cIg-FISH as previously described by us and using a double fusion FISH strategy. The importance of this is that the strategy will detect unbalanced t(4;14) with loss of der(14). Results: Twenty patients (9.5%) had evidence of the chromosome translocation. Detailed demographic data was available in 19; 14 were women (74%), 13 of 19 (68%) had SMM and there was no bias for heavy chain IgA (26%). Patients with t(4;14) were slightly younger than those without the abnormality (52 vs. 61 years), had similar hemoglobin concentrations, had slightly higher concentration of the serum M spike (2.0 vs 1.75 g/dl) and had overall slightly higher bone marrow plasmacytosis (median 23% vs 10%). Patients were followed since diagnosis for a median of 33 months (range 2–162 months). Three patients progressed to active MM at 12, 12 and 26 months after original diagnosis (all three originally having indolent/SMM). Conclusion: The t(4;14) can occur in patients with MGUS and SMM and without evidence of progression to MM. The prevalence is similar to that observed in MM, albeit slightly lower (9.5% versus 14%). In most “benign” plasma cell neoplasms the translocation is associated with greater plasmacytosis and thus enriched for in the smoldering MM category. It is also likely that the t(4;14) confers a higher risk of progression to MM given; a) its enrichment in SMM, b) the slightly higher prevalence of the translocation in MM as opposed to MGUS/SMM, and c) the well documented aggressive clinical course of MM with t(4;14).

Abstract H-MM affects about 40–50% of patients, and a similar proportion of MGUS/SMM. The genetic evolution of the disease and the clinical implications of the co-existence of 13q- or t(14q32) are unknown. We conducted a global survey of genetic abnormalities in H-MM in order to describe genetic evolution pathways. H-MM cases from the Mitelman cancer genetic database were combined with cases from the Mayo Clinic MM genetic database. All abnormalities (regional/whole chromosome gains/losses, breakpoints and translocations) were plotted against a 344-chromosome band profile created in a matrix format, and the number of genetic abnormalities per tumor (NAPT) logged. The abnormalities present in more than 5% of tumors were considered recurrent and each karyotype was scored for the presence or absence of each of the recurrent abnormalities. To investigate the temporal pattern of acquisition of genetic abnormalities, all tumors with a given abnormality were selected and the distributions of NAPT plotted. The modes of these distributions were used as a value of ‘lateness’, referred to as time of occurrence (TO). The impact of co-existence of 13q- and t(14q32) on progression free survival (PFS) and overall survival (OS) in H-MM was determined for MM patients entered into an Eastern Cooperative Oncology Group chemotherapy trial. Four hundred and sixty-nine H-MM patients were included in the karyotypic analysis. The median chromosome number was 53 (range 48–74) and the median NAPT was 10 (range 1–25). The distribution of NAPT revealed a normal distribution, suggesting an obligatory acquisition of a given number of genetic abnormalities. The most common abnormalities were trisomies of chromosomes 3,5,7,9,11,15,19 and 21 affecting a third or more of the patients. Deletions and abnormalities of even-numbered chromosomes occur in 20% or less of patients. None of the more than 300 specific translocations detected were recurrent. However, 5 translocation breakpoints were recurrent including 14q32, 8q24 and 11q13. TO analysis suggest that for H-MM, the trisomies are early genetic events, translocations occur midway and deletions tend to be later events. Amongst the trisomies, correlation analysis does not suggest a particular order of acquisition. Clustering analysis using principal component analysis suggests that in H-MM, IgH translocations are secondary events associated with disease evolution rather than defining unique biological entities. Consistent with this, survival of H-MM patients is not affected by 13q- status but is negatively impacted by the presence of t(14q32) especially those with unknown partners (p<0.05). The data presented suggest that H-MM fit a proposed aneuploid model of cancer due to auto-catalytic chromosome reassortment (Duesberg et al Cell Cycle2003:2:202–210). The presence of tumor specific trisomies and the apparent similar phenotype induced by various combinations of trisomies are consistent with this model.

Abstract Background: Solitary plasmacytoma of bone (SBP) is a localized collection of monoclonal plasma cells that is potentially curable with local radiation therapy but associated with a high risk of progression to multiple myeloma. We hypothesized that an abnormal immunoglobulin free light (FLC) ratio at diagnosis may be a prognostic indicator of transformation risk. Methods: We identified a cohort of 133 patients with SBP for whom stored serum taken at the time of diagnosis was available. The diagnosis was ascertained and serum FLC determined in 126 patients. Results: From this cohort, 48 patients have progressed to myeloma and the median time to progression among those who progressed was 1.9 years. On univariate analysis, age (p<0.001), gender (p=0.035), abnormal FLC ratio at diagnosis (p=0.009) and persistence of serum or urine M-protein after therapy (p=0.0070 were all associated with a shorter overall survival (OS) and time to progression to multiple myeloma. Progression by Normal FLC(0.26–1.65) Progression by Normal FLC(0.26–1.65) On multivariate analysis, an abnormal FLC ratio retained its independence in a model that includes age at diagnosis but lost its significance when combined with persistence of the serum or urine M-protein. However, serum or urine M-proteins are not detectable in a significant number of patients with SBP and therefore not informative. Conclusion: The FLC ratio at the time of diagnosis of SBP is a powerful predictor of risk and a useful aid to management of patients with this condition.

Abstract Introduction: We previously reported that serum cardiac biomarkers are among the most powerful predictors of overall survival. This observation was based on outcomes of more than 300 patients with primary systemic amyloidosis (AL) receiving either low dose chemotherapy or high dose chemotherapy with peripheral blood stem cell transplant (PBSCT). Not all institutions use the N-terminal pro-brain natriuretic peptide (NTproBNP) assay, but rather the B-type natriuretic peptide (BNP) assay. We therefore determined the relative utility of BNP in patients with AL undergoing PBSCT and up-dated our results using our NTproBNP-troponin T staging system. Methods: Between 4/10/96 and 2/24/05, 164 patients with AL undergoing PBSCT had measurements of serum cardiac biomarkers. All BNP measurements were done on fresh serum (Biosite Inc., San Diego). The NTproBNP (Roche Diagnostics, Indianapolis, IN) and troponin T (TnT) (Roche Diagnostics, Indianapolis, IN) measurements were done on either stored serum or on fresh samples as previously reported. Follow-up for patients was through March 2005. Results: Between 5/1/03 and 2/15/05, 72 patients had BNP measurements pre-transplant. The median value was 167 pg/ml (range 5 to 7739). Forty-two of these patients also had an NTproBNP measured. There was good agreement between the two tests in the 42 patients that had both measurements (rho 0.823, p<0.0001). To further test the relationship between the two tests, we evaluated the correlation between BNP and NTproBNP using 204 simultaneous measurements from 106 patients (rho=0.89, p<0.0001). Next, we tested the prognostic utility of BNP. Using a cut-off point of 120 pg/L (the upper limit of normal for women over the age of 70 and the 50th percentile of all measurements in our data set), we found that BNP was prognostic for survival post-transplant. It was independent of TnT values, and patients could be divided into 3 risk categories using these two measurements (low risk if both values were low, high-risk if both were high, and intermediate if either was high). This system was highly predictive of overall survival (Figure A). We next compared the BNP-TnT staging system to our previously reported NTproBNP-TnT staging system in the 42 patients that had all 3 values pre-transplant. The correlation between the two staging systems was excellent (rho=0.91, p<0.0001). Follow-up for the 100 patients who had been reported previously is now 26.9 months. As shown in Figure B, the NTproBNP-TnT system predicts for overall survival post transplant. Conclusions: Serum levels of cardiac biomarkers are invaluable prognostic markers in patients with AL. Preliminary data would suggest that a BNP-TnT system is as useful as the NTproBNP-TnT system. Risk thresholds: BNP <120 pg/ml; TnT <0.035 ng/ml; NT-proBNP < 332 pg/ml BNP-TnT statisfaction: low risk, both low; high risk, both high; intermediate, either high. NT-proBNP-TnT satisfaction: low risk, both low; high risk, both high; intermediate, either high. Risk thresholds: BNP <120 pg/ml; TnT <0.035 ng/ml; NT-proBNP < 332 pg/ml BNP-TnT statisfaction: low risk, both low; high risk, both high; intermediate, either high. NT-proBNP-TnT satisfaction: low risk, both low; high risk, both high; intermediate, either high.

Abstract Background: The free light chain (FLC) assay allows a nephelometric measurement of this free kappa and lambda light chains that circulate as monomers or dimers, not bound to the immunoglobulin heavy chain. Estimation of the free light chain levels and their ratio has utility in screening, prognostication and treatment response assessment in multiple myeloma, and is particularly useful in light chain myeloma. Previous studies have suggested that absence of a functional rearrangement on at least one of the IgH allele is the basis of light chain myeloma. Translocations involving the immunoglobulin heavy chain (IgH) locus on chromosome 14 can be detected using FISH in over half of the patients with myeloma. We hypothesized that presence of an IgH translocation may be associated with compromised production of heavy chains and leads to unbalanced, excess production of clonal light chain. Methods: From February 1988 to May 1992, 653 patients with previously untreated multiple myeloma were enrolled on the phase III clinical trial E9486. Serum free light chains were run on stored sera obtained at baseline in 495 patients as part of a previous study. Among these patients, 314 patients were previously studied using FISH for presence or absence of IgH translocations, p53 abnormalities and deletion 13 and were included in the current analysis. Results: The median difference between the involved and uninvolved FLC (FLCdiff) was higher among the group of patients with any IgH translocation abnormality compared to those with none (Figure 1). This was particularly evident among the patients with a t(14;16) who had the highest FLCdiff. In a multivariate analysis, we examined if the prognostic value seen with FLCdiff was independent of the presence of IgH translocations t(4:14) and t(14;16), which are associated with a worse outcome. The presence of t(4;14) or t(14;16) was associated with FLCdiff groups using a cutoff point of 185, with 13% of those with FLCd ≤185 and 27% of those with FLCd > 185 having the translocations (P= 0.008). At the cutoff value of 185, the prognostic value of the FLC-diff on progression free and overall survival appears to be independent of these high risk IgH translocations (P-value=0.03 and 0.003, respectively for PFS and OS) We then examined the prognostic value of the FLC-diff in the group of patients without these two high risk abnormalities and were able to confirm that they remained prognostic for PFS (P=0.009) and OS (p=0.005). However, among the group of patients with either of the two high risk IgH abnormalities, FLCdiff estimate added little to assessment of their outcome (P=0.97 and 0.20, respectively for PFS and OS). Conclusion: Elevated free light chain levels are associated with presence of IgH translocations and these patients are more likely to harbor the high risk genetic abnormalities. Routine FISH testing for patients with newly diagnosed myeloma will allow us to confirm these and allow better risk stratification of the patients. Additional work needs to be done to help us better understand the molecular basis for unbalanced light chain excretion by myeloma cells and the current finding of the association with IgH translocation abnormalities should form the basis for this work. Figure 1. Distribution of FLC ratio (inv vs. uninv) and FLC difference (inv − uninv) among patients. Solid squares represent patients with t(4;14) or t(14;16) or t(11;14) or other 14q32 translocation; open circles represent patients without t(4;14), t(14;16), t(11;14) and any other 14q32 translocations. The horizontal dashed lines refer to FLC ratio original values of 100 and 1000, and vertical dashed lines refer to FLC difference original values of 10 and 100. Solid line indicates significant association (P<=0.05) between the dichotomized FLC groups and translocation status. Figure 1. Distribution of FLC ratio (inv vs. uninv) and FLC difference (inv − uninv) among patients. Solid squares represent patients with t(4;14) or t(14;16) or t(11;14) or other 14q32 translocation; open circles represent patients without t(4;14), t(14;16), t(11;14) and any other 14q32 translocations. The horizontal dashed lines refer to FLC ratio original values of 100 and 1000, and vertical dashed lines refer to FLC difference original values of 10 and 100. Solid line indicates significant association (P<=0.05) between the dichotomized FLC groups and translocation status.

Abstract Background: Monoclonal gammopathy of undetermined significance (MGUS) is a common pre-malignant plasma cell disorder associated with a 1% per year risk of progression to multiple myeloma or related malignancy. Since the risk factors for MGUS are poorly defined, the goal of the present study was to determine if the risk of MGUS is increased in first degree relatives of patients with known multiple myeloma (MM) or MGUS. Methods: MGUS probands (index cases) were recruited from a population-based prevalence study of MGUS in Olmsted County, MN while MM probands were recruited through the Mayo Clinic practice. Consenting probands were asked to provide contact information on all first-degree relatives ages 40 years and older. Serum samples were then collected from first-degree relatives with informed consent and subjected to agaraose-gel electrophoresis and immunofixation. The prevalence of MGUS in first-degree relatives of MM and MGUS probands was compared to population-based rates from Olmsted County using risk ratios (RR). For comparisons to the reference population, only cases detected by protein electrophoresis and confirmed by immunofixation were included so that the diagnostic strategy was identical in the two groups being compared. Results: Serum samples were obtained from 911 relatives of 329 unique families, including 493 siblings, 324 children and 94 parents of patients with MGUS or MM. Using protein electrophoresis, monoclonal protein was detected in the serum of 55 (6%) while immunofixation identified 28 additional relatives (3%), for an age- and sex-adjusted prevalence rate of 8.1% (95%CI: 6.3, 9.8). The age-specific prevalence of MGUS in first-degree relatives increased with age (1.9%, 6.9%, 11.6%, 14.6%, and 21.0% for ages 40–49, 50–59, 60–69, 70–79 and ≥80, respectively; P<0.001). Based on similar MGUS detection methodology as the reference population, there was a significantly higher risk of MGUS in first-degree relatives (age-adjusted RR, 2.6, 95%CI: 1.9, 3.4) compared to the reference population. The increased risk (P<0.001) was seen both in relatives of MM probands (RR, 2.0, 95%CI: 1.4, 2.8), as well as MGUS probands (RR, 3.3, 95%CI: 2.1, 4.8). This association was similar across age of proband, age and gender of relative, and relationship of the first-degree relative. When examining whether the increased risk of MGUS in relatives was specific to probands with a large monoclonal protein concentration or specific monoclonal immunoglobulin isotype (i.e. high-risk MGUS phenotype), there was suggestion of a greater risk for relatives of probands with a high (3 1.5 g/dL) M-protein (RR, 2.8, 95%CI: 2.0,3.8) compared to lower M-protein levels (RR, 1.8, 95%CI: 1.1,2.8) although the difference did not reach statistical significance (P=0.12). The risk of MGUS in relatives did not differ by proband’s isotype (IgG vs. other). Conclusions: First-degree relatives of patients with MM or MGUS have a greater than two-fold risk of MGUS compared to the general population, implying underlying genetic predisposition for these diseases and providing rationale for identifying genetic determinants of MGUS. This study also provides important baseline rates of MGUS in first-degree relatives that impact the clinical care of these patients.

Abstract Background: Traditionally response to therapy in multiple myeloma (MM) is based on changes in the serum and urine monoclonal protein by immunoelectrophoresis. Immunofixation allows for detection of small amounts of monoclonal protein that cannot be quantitated on immunoelectrophoresis. Serum immunoglobulin free light chain (FLC) assay allows for detection of unbound kappa and lambda free light chain and has allowed disease measurement in patients with oligosecretory myelomas and can potentially allow detection of low levels of tumor burden, below the threshold of the standard tests. We examined this hypothesis in patients who had obtained a negative immunofixation in serum and urine following treatment of their MM. Methods: For the purposes of the study, we included selected patients with MM who had measurable monoclonal (M) protein levels at baseline (defined as >1 gm/dL in the serum or >200 mg/24 hour in the urine or involved free light chain > 10 mg/dL) on protein electrophoresis; patients with non-secretory and oligo-secretory myeloma were excluded. We then identified patients who since 1995 had a negative immunofixation in the serum and urine, all done at the same time (within 30 days of each other). Baseline demographics and clinical characteristics; date of diagnosis, last follow up, and follow up status; serum and urine M protein levels at diagnosis; and results of serum and urine immunofixation, and serum free light chain (FLC) ratio within 30 days of the immunofixation were all collected from the existing databases. Results: Eighty-four patients met the criteria for the study, all of whom had measurable disease at baseline and subsequently achieved negative immunofixation in serum and urine. Among these, 46 patients (55%) also had a normal FLC ratio (K/L ratio; 0.26–1.65). Th median time from diagnosis to the documented immunofixation was 7.5 months (range, 1–157). The median overall survival from diagnosis among those with a normal FLC ratio along with negative immunofixation was not reached compared to 76 months for those with abnormal FLC ratio, P = 0.02. The median overall survival from the documentation of negative immunofixation was not reached for the group with normal FLC ratio compared to 46.5 months for those with an abnormal FLC, P = 0.03. Conclusion: Attainment of a normal FLC ratio at the time of serum and urine immunofixation negative status identifies a group of patients with better outcome. The presence of an abnormal FLC ratio likely represents persistence of the clonal population that is secreting none or very small amounts of monoclonal protein. The data presented here supports the inclusion of FLC measurements as part of response criteria for MM as has been done for the definition of stringent CR in the IMWG response criteria. Figure: Overall survival from diagnosis in patients with or with out a normal FLC ratio at the time of serum and urine immunofixation. Figure:. Overall survival from diagnosis in patients with or with out a normal FLC ratio at the time of serum and urine immunofixation.