Larson, Dirk R.

Abstract Monoclonal gammopathies, including multiple myeloma (MM), represent a group of plasma cell (PC) disorders that comprise of mostly incurable hematopoietic malignancies with an increasing incidence in the US. Previous epidemiological studies demonstrated a 2-3 fold higher incidence of monoclonal gammopathy of undetermined significance (MGUS) and a similarly higher incidence of MM along with a ~4-year younger age of onset among African Americans (AA) compared to European Americans (EAs) (Fonseca, Leukemia, 2017). This suggests a possible ancestral-associated genetic predisposition of AAs to the development of monoclonal gammopathies (Landgren, Blood, 2006). When access to care is equal, AAs have a better overall survival compared to EAs suggesting that AAs may have a genetic predisposition that renders them better responders to treatment or have more favorable cytogenetic subtypes of MM (Waxman, Blood, 2010). Previous efforts to understand this disparity have relied on self-reported race rather than genetic ancestry. We hypothesize that quantifying genetic ancestry is necessary to fully understand the genetic mechanisms of racial disparities of monoclonal gammopathies. We describe our study of 881 patients with monoclonal gammopathies who had undergone uniform testing to identify MM-specific cytogenetic abnormalities. DNA from the bone marrow samples was genotyped on the Precision Medicine Research Array. Biogeographical ancestry was assessed using the Geographic Population Structure Origins tool, which provides the ancestral breakdown of 36 admixture components for each individual representing different geographic regions and outputs admixture proportions corresponding to those ancestries (Elhaik, Nat Commun, 2014). We evaluated whether an increase in the percentage of African Ancestry altered the odds of any primary cytogenetic abnormality. We demonstrated that a 10% increase in the percentage of African ancestry was associated with a 6% increase in the odds of detecting either an t(11;14), t(14;16) or t(14;20) (odds ratio = 1.06, 95% CI: 1.02 - 1.11; p-value = 0.05). Although we observed an increase in the odds of each of the individual translocations with 10% increase in African ancestry, l t(11;14) (OR=1.03) t(14;16) (OR=1.11) and t(14;20) (OR=1.10), these three abnormalities were combined to achieve greater statistical power. The differences in cytogenetic abnormalities were most striking among individuals with ≥80.0% African (n=120) compared to individuals with <0.1% African ancestry (n=235). Using these cutoff values comparing the ≥80.0% and <0.1% African ancestry cohorts, there was a higher prevalence of t(11;14), t(14;16) and t(14;20) (51% vs. 33%, respectively, p-value=0.008) and a lower prevalence of trisomies (with or without IgH translocations) (48.3% vs. 61.3%, respectively, p-value=0.066). In addition, the ≥80% African ancestry cohort also displayed a slightly lower prevalence of monosomy 13/13q deletion compared to the cohort with <0.1% African ancestry (34.2% vs. 38.7%, respectively, p-value=0.021). Further, we observed a significantly higher prevalence in the proportion of females with monoclonal gammopathies among the ≥80% African ancestry cohort compared to the cohort with <0.1% African ancestry (56.7% vs. 42.1%, respectively, p-value=0.028). We complement our past studies that relied on self-reported race and characterized patients' demographic and uniformly collected cytogenetic data in relation to genetically defined African ancestry. We demonstrate the prevalence of having one of three specific subtypes (i.e., t(11;14), t(14;16), or t(14;20)) was significantly higher in those with highest (≥80%) compared to lowest (<0.1%) African ancestry demonstrating African ancestry is associated with a subtype distribution of MM that differs from non-African individuals. These differences were only revealed after analysis of individuals with the highest and lowest percentage of African ancestry. Since 38.3% of the individuals with ≥80% African ancestry have the favorable t(11;14) translocation (in comparison to 26.8% of <0.1% African individuals), this finding may explain improved survival with equal access to care. Understanding the genetic mechanisms of this disparity is a fundamental step to understanding differences in incidence and outcomes of patients with monoclonal gammopathies. Disclosures Elhaik: DNA Diagnostics Center: Consultancy. Baird:DNA Diagnostics Center: Employment. Cerhan:Jannsen: Other: Scientific Advisory Board; Nanostring: Research Funding; Celgene: Research Funding. Stewart:Amgen Inc., BMS, Celgene, Takeda, Roche, Seattle Genetics, Janssen, Ono: Consultancy; Amgen Inc., Celgene, Roche, Seattle Genetics: Research Funding. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Kumar:Novartis: Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Research Funding.

Abstract Background While patients with monoclonal gammopathy of undetermined significance (MGUS) are known to be at an increased risk of developing multiple myeloma, Waldenström macroglobulinemia, and primary amyloidosis, the risk of developing non-hematologic malignancies is less clear. A recent report suggested that MGUS patients have a 1.56-fold increased risk of developing nonhematologic malignancies. An excess risk of developing nonmelanoma skin (RR = 2.04), endocrine (RR = 3.34), breast (RR = 1.32), kidney and urinary tract (1.58), respiratory (RR = 1.42), male reproductive system (RR = 1.32), and GI cancers (RR = 1.25) has been reported for people with MGUS (Blood Oct 13 2011;118(15):4086-4092). This study constructed a cohort by discovering MGUS status through medical workup. Therefore, associations discovered might be related to the reason the test was performed more than the result of the test. This study aimed to determine if there was an increased risk of solid malignancies in persons with MGUS using a large, population-based, systematically screened cohort. Methods The population-based cohort established to estimate the prevalence of MGUS was examined for this study (N Engl J Med 2006; 354:1362-1369). Of the 28,038 residents of Olmsted County, Minnesota age 50 years or older as of January 1, 1995, 21,463 individuals' serum samples were collected. All samples were evaluated with serum electrophoresis and immunofixation to determine MGUS status. The Mayo Clinic Medical Index from 1/1/1975 to last follow up or 5/31/2006 was used to link MGUS status to other diagnoses. All patients diagnosed with a solid malignancy were identified, and disease prevalence was determined for cases and controls. For MGUS patients who progressed to MM or related disorder, only solid malignancy diagnoses made prior to progression was considered. A second analysis was performed in which only malignancies that developed after the MGUS screening or diagnosis date were considered. Results 17,315 patients with 435,021 person-years of follow-up were included in the study. Any patient who was blinded in the initial cohort could not be included. Patients with MGUS (n=605) had a mean follow up of 24.64 years (range 0.11 to 30.57) while controls (n=16,710) had a mean of 25.14 years (range 0.01 to 31.40) of follow up. The risk ratio for developing any solid tumor was 1.08 (95% CI 0.94 to 1.25). Persons with MGUS had a 1.61-fold increased risk of developing respiratory tumors over controls. MGUS patients did not have a significantly increased risk of developing cancer in any other anatomical position studied, including bone, brain, breast, endocrine, eye, gastrointestinal, kidney, skin (melanoma or non-melanoma), oral/nasal/pharyngeal, reproductive, or salivary gland. MGUS patients were not found to be at increased risk of developing tumors with a specific pathology over controls. The second analysis, which considered only tumors that developed after the MGUS screening or diagnosis date, showed that MGUS patients were not at an increased risk of respiratory tumors (RR 1.28, p=0.21). According to this analysis, MGUS patients are at decreased risk of developing non-melanoma skin cancer (RR 0.76, p=0.003). No statistically significant increased risk of any solid tumor was identified through this analysis. Conclusion This study used a systematically screened population-based cohort to determine if patients with MGUS are at an increased risk of developing solid tumors. The analysis suggests that patients with MGUS have a significantly increased risk of developing respiratory malignancies (RR 1.61, p=0.01). However, when only tumors diagnosed after MGUS screening or diagnosis date were considered, this risk was no longer significant (RR 1.28, p=0.21). Contrary to previous reports, we did not find patients with MGUS to be at an increased risk of developing other solid malignancies. The discrepancy between these findings and previously reported increased risk may be related to the elimination of ascertainment bias in this population-based cohort universally screened for the presence or absence of MGUS. Accurately understanding the risks associated with MGUS, a condition affecting 3% percent of the population over 50 years of age, may allow for more informed recommendations for screening and counseling for these patients. Disclosures: Kumar: Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding.

Abstract Background: Monoclonal gammopathy of undetermined significance (MGUS) affects 3% of persons age 50 yrs or greater. Reliable predictors of progression of MGUS to myeloma or related malignancy are needed. We hypothesized that the presence of monoclonal unbound (free) kappa or lambda immunoglobulin light chains in MGUS, as detected by an abnormal serum kappa/lambda free light chain (FLC) ratio would indicate clonal evolution in the neoplastic plasma cell and increase risk of progression to malignancy. Methods: Patients (pts) from Southeastern Minnesota with MGUS seen at the Mayo Clinic from Jan 1, 1960 through Dec 31, 1994 who had baseline serum samples collected and stored at the time MGUS was first recognized were studied. Free kappa and lambda chains were measured using the serum FLC assay (FREELITETM, The Binding Site Ltd). Results: Of 1384 pts with MGUS during the defined time period, baseline serum samples obtained within 30 days of diagnosis of MGUS were available in 1148 pts. At a median follow-up of 15 yrs, malignant progression has occurred in 87 (7.6%) pts: myeloma (53 pts), IgM lymphoma (17), primary amyloidosis (6), macroglobulinemia (6), chronic lymphocytic leukemia (3) and plasmacytoma (2). An abnormal kappa/lamda FLC ratio (kappa/lambda ratio <0.26 or >1.65) indicating presence of monoclonal FLC was detected in 379 (33%) pts. In a Cox proportional hazards model, the risk of progression in pts with an abnormal kappa/lamda FLC ratio was significantly higher (hazard ratio 3.5, 95% CI 2.3–5.5; p<0.001) compared to pts with a normal ratio. After adjusting for the size of the serum monoclonal (M) protein by multivariate analysis, the hazard ratio was only slightly reduced to 2.8, p<0.001. The risk of progression to myeloma or related malignancy at 10 years was 17% with an abnormal kappa/lambda FLC ratio versus 5% with a normal ratio; corresponding rates at 20 years were 35%, and 13%, respectively. MGUS pts with both an abnormal serum FLC ratio and high serum M protein had a risk of progression at 20 years of 46% (high-risk), versus 26% with one of two risk factors (intermediate-risk) and 7% with no risk factors (low-risk) (Table). The true life-time (28 year) risk of myeloma or related malignancy in the low-risk group was only 5.3% when other competing causes of death were taken into account. Conclusions: Presence of monoclonal FLC in the serum as detected by an abnormal kappa/lamda FLC ratio is a major independent risk factor for progression of MGUS to myeloma or a related malignancy. The new risk-stratification identifies a low-risk subset with a remarkably small life-time risk of progression, a finding of significant importance for the management of MGUS. Risk-stratification of MGUS using the size of the serum M spike and free light chain ratio Risk Group No. of patients Hazard ratio Absolute risk of progression at 20 years Low-risk (Serum M protein <1.5 gm/dL and normal FLC ratio [0.26–1.65]) 606 1 7% Intermediate-risk (Either risk factor present) 373 3.5 26% High-risk (Serum M protein >/=1.5 gm/dL and abnormal FLC ratio [<0.26 or >1.65]) 169 6.8 46%

Abstract Abstract 3893 Background: When screening for clonal disease, the kappa (k) to lambda (l) FLC ratio (FLC-R) is employed to correct for both impaired catabolism (renal function) and non-specific production (generalized immune overstimulation). This adjustment makes it possible to identify patients with relative imbalances between k and l levels, which typically qualifies for clonal excess and has been of value in screening for and prognosticating in patients with most clonal plasma cell disorders. We previously performed a population-based study among Olmsted County residents to ascertain the prevalence of monoclonal gammopathy of undetermined significance (MGUS) and light chain MGUS. We hypothesized that by using this cohort, we could identify whether the FLC assay provides information that would be prognostic in a general population of people 50-years and older. Methods: The Olmsted MGUS prevalence cohort was comprised of 21,463 of the 28,038 enumerated individuals over the age of 50 who were living Olmsted between 1/1/95 and 11/21/2003. The final sample size of individuals for the present study was 15839 due to patient losses secondary to blinding, inadequate sample to perform the FLC assay, and known MGUS or LC-MGUS. For the multivariate analyses, another 772 were excluded due lack of coincident creatinine measurement. The FLC measurements were performed using the FLC assay (Binding Site, Birmingham, UK). The respective reference ranges for k FLC and l FLC are 0.33–1.94 mg/dL and 0.57–2.63; therefore, the reference range for the sum of k and l FLC (S FLC) is 0.90–4.57 mg/dL. Survival time was calculated from the time of sample ascertainment. Results: Forty-five percent of the cohort was male. The median age was 63 years (range 50, 109). On univariate analysis, the hazard ratio for death for those patients with the highest decile of S FLC relative to the other 90% of patients in the cohort was 4.3 (95%CI 4.01, 4.62), Figure 1. Because serum immunoglobulin FLC rise with age and with renal insufficiency, a multivariate analysis was performed to exclude the possibility that S FLC was merely a surrogate for these other parameters. Table 1 shows both univariate and multivariate risk for death. With these other variables included, the hazard ratio for death with highest S FLC decile was lower, but remained significant; hazard ratio, 2.0 (95%1.88, 2.2). Conclusions: The finding that S FLC above the normal range (i.e. highest decile) is associated with inferior overall survival among individuals above the age of 50, excluding patients with known MGUS or LC-MGUS, is important and merits further investigation. Although there is an association between S FLC, renal function, gender, and age, excess risk of death still exists after adjusting for these risk factors on multivariate analysis. The mechanism by which S FLC predicts for outcomes is uncertain, but one could postulate that conditions resulting in overactivation of the immune system contributes to excess risk of death. Whether the S FLC adds above and beyond other conventional inflammatory markers like ESR or CRP cannot be determined by the present study, but is worthy of further investigation. Disclosures: Dispenzieri: Celgene: Honoraria, Research Funding; Binding Site: Honoraria. Off Label Use: No FDA approved indication. Kumar:Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding. Mead:Binding Site: Employment. Bradwell:Binding Site: Equity Ownership, Patents & Royalties.

Abstract Abstract 3047 Background: There is concern about the increased incidence of extramedullary plasmacytomas among patients with multiple myeloma (MM) in recent years (Varettoni et al Annals of Oncology 21: 325–330, 2010). There is controversy about whether novel agents increase the risk of extramedullary disease (EMD). EMD may be associated with decreased overall survival in MM. The purpose of this study was to determine the incidence of true, treatment-emergent EMD in MM among a cohort of patients who have been previously exposed to novel agent (thalidomide, lenalidomide, or bortezomib) therapy, and to evaluate the activity of pomalidomide in patients with EMD. Methods: We examined 174 consecutive patients with relapsed refractory multiple myeloma that were enrolled on a phase II clinical trial of pomalidomide plus low-dose dexamethasone. The study cohort was chosen since all patients had previously been exposed to novel agents, and were followed systematically. We adopted a strict definition of EMD which required that in order to be considered extramedullary, plasmacytomas must not have risen from any bone. Thus, masses arising from the bone with a soft tissue component were not considered extramedullary. Results: Of 174 patients studied, 16 patients (9.2%) had EMD prior to enrollment. In 3 of the 16 patients, EMD was present at time of diagnosis and was therefore not considered as treatment-emergent disease for this analysis. In 13 of 174 patients (7.5%) EMD developed during the course of MM, after starting therapy. All 13 patients by inclusion criteria were exposed to novel agents prior to the onset of EMD, including 100% to immunomodulatory agents (thalidomide or lenalidomide); and 78% (10 patients) were exposed to bortezomib prior to developing EMD. The median number of lines of prior therapy in these patients was 6, range 1–12). EMD occurred a median of 48 months following diagnosis (range, 16–183 months); the rate of EMD in the first 3 years following diagnosis of MM was 3%. Since all patients had prior exposure to immunomodulatory agents in this cohort, we were able to calculate the median length of time from initiation of immunomodulatory agents to onset of EMD as 24 months (range 7–119 months). The EMD sites involved included the temporal area soft tissue (3), muscle (3 [1 pt with 10 different areas of involvement, 1 pt with 5 muscles involved]), chest wall not attached to bone (3), abdominal/pelvic masses (3), kidney (2), scrotum (2), sinus (1), paraspinal (1), hilar/pleural based (1), paraesophageal (1), subcutaneous tissue (1), pancreas (1), spleen (1), mediastinum (1), pleural fluid (1), liver (1). Per protocol, all patients received pomalidomide (2-4 mg per day) and low dose dexamethasone (40 mg once a week). Of the 13 patients, there were 2 CR (with complete disappearance of EMD), 2 PR, 2 stable disease, 3 with progressive disease, and 4 patients who did not have their EMD re-evaluated. Thirty percent (n=4) of patients had a 50% or greater reduction in size of the EMD including one patient who received concomitant radiation. Overall survival from measured from trial entry was significantly shorter for patients who presented with EMD compared to those who did not have EMD, median 16 months versus not reached, p=0.002 (log-rank). Conclusion: We found that 7.5% of patients with relapsed refractory myeloma in the era of novel agents develop EMD during the course of their myeloma, including 3% within 3 years of diagnosis. The underlying reasons for the possible increased incidence of EMD may include better radiographic detection (the role of PET/CT scans and MRI), improved overall survival of patients in recent years, and the possibility that novel agents may increase the risk for strictly defined, true EMD among patients who did not have EMD at time of initial MM diagnosis. These need further study. Disclosures: Dispenzieri: Celgene: Honoraria, Research Funding; Binding Site: Honoraria. Gertz:Celgene: Honoraria; Millennium: Honoraria, Membership on an entity's Board of Directors or advisory committees. Kumar:Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding.

Abstract Chronic Idiopathic Bence Jones Proteinuria (first reported in 1982) is an asymptomatic plasma cell proliferative disorder that is associated with a risk of progression to symptomatic multiple myeloma (MM) or primary amyloidosis (AL). We defined it as the presence of a monoclonal light chain in the urine, absence of an intact immunoglobulin M protein (IgH expression) in the serum, fewer than 10% bone marrow plasma cells (if done), and no evidence of MM, AL or other related plasma cell proliferative disorders. Following approval by the Mayo Clinic Institutional Review Board, we searched a computerized database and reviewed the records of all patients who were seen at Mayo Clinic within 30 days of the recognition of a monoclonal light chain (Bence Jones protein) in the urine between 1960 and 1996. Patients found to have end-organ damage at diagnosis as the result of the plasma cell proliferative disorder (including MM or AL), received chemotherapy, or had a nephrotic syndrome were excluded. Follow-up included review of each subject’s medical record at Mayo Clinic as well as review of death certificates for patients who died. Patients were sent letters of inquiry if they had not visited Mayo Clinic in the preceding year. The risk of progression to MM and AL was compared to those expected on the basis of Surveillance, Epidemiology and End Results (SEER) rates for MM in Iowa and the prevalence of AL in Olmsted County, Minnesota. Two-hundred twenty-three patients fulfilled the criteria for Idiopathic Bence Jones Proteinuria during the 37-year period (1960 – 1996). The median age at diagnosis was 69 yrs (range, 36–90 yrs) and only 1% were < 40 years of age. Sixty-seven percent were male. The urine M protein ranged from unmeasurable to 4.7 g/24h. The median was 0.09 g/24h and only 8% were > 1 g/24h. Kappa light chain accounted for 57% while lambda was present in 43%. Eighty-one percent of patients died during follow-up. Twenty-six percent had a monoclonal light chain in the serum on immunofixation. Concentrations of uninvolved (normal, polyclonal or background) immunoglobulins were reduced in 45%. During 1408 person years of follow-up, 11 patients developed symptomatic MM (relative risk 28.5; 95% CI, 14.3 – 51.1) and an additional 9 patients developed AL (relative risk 61.8; 95% CI, 28.3 – 117.4). The cumulative probability of progression to active MM or AL was 7% at 5 yrs, 13.5% at 10 yrs., and 18% at 15 yrs. The factors evaluated with respect to predicting progression to MM or AL included sex, hemoglobin value, serum albumin, amount of urine M protein/24h, type of urine light chain (kappa or lambda), reduction of uninvolved (background) immunoglobulins, and elevation of serum calcium or creatinine. The amount of the urine M protein/24h was the only significantly predictive parameter for progression. As a continuous variable, a higher urine M protein was associated with an increased risk of progression (hazard ratio = 2.1 for a 1g increase, p=0.003). The amount of the urine M protein was also significant as a dichotomous variable. Patients who had a urine M protein ≥ 1g/24h had an increased risk of progression (hazard ratio = 3.6, p=0.007). We conclude that patients with Idiopathic Bence Jones Proteinuria are at risk for the development of MM or AL and need to be followed indefinitely.

Abstract We and others previously demonstrated an increased risk of monoclonal gammopathy of undetermined significance (MGUS) in first-degree relatives of multiple myeloma (MM) and MGUS patients, underscoring a familial component to this disease. However, MM is known to be a collection of cytogenetically distinct diseases, with 40-50% of MM cases having a reciprocal translocation involving the IgH locus on chromosome 14q32 and in many of the remaining patients, trisomies. In a small proportion of cases, both IgH abnormalities and trisomies are found in the same clone. These MM cytogenetic subtypes are associated with differential prognosis. Whether there are differences in familial risk by cytogenetic subtypes is not known. Patients with MM were recruited from the Mayo Clinic Hematology practice in Rochester, Minnesota (MN) between 2005 and 2015. Serum samples were collected from first-degree relatives and subjected to electrophoresis and immunofixation for MGUS determination. Age- and sex-specific rates of MGUS from the population-based Olmsted County, MN, prevalence study were used as expected rates for the calculation of risk ratios (RRs) for comparisons of first-degree relatives. Cytogenetic subtypes were classified by FISH testing performed in the clinic and categorized into groups defined by IgH translocation , trisomy, intermediate/ high-risk disease (t(4;14), t(14;16), t(14;20), and del17p). Further, the distribution of cytogenetic subtypes was compared between MM cases with and without evidence of MGUS in first degree relatives using Chi square tests. Analyses were also subset to MM probands diagnosed in MN. There were a total of 442 MM probands, with 1235 first-degree relatives recruited and eligible for the study. MGUS was detected in 78 relatives, for an age- and sex-adjusted prevalence of 6.1% (4.7%-7.5%). Analyses comparing prevalence of MGUS in first degree relatives to population-based rates from Olmsted County showed a 2.5-fold (95% CI=1.9-3.0) increased prevalence. When performing analyses among MN probands only (RR=2.9; 95% CI=2.1-3.8), results were similar. Of the 442 probands, 310 had FISH performed on plasma cells (identified by cIG staining; cIg-FISH) at diagnosis. Of these cases, 49% had a trisomy, 23% had an IgH translocation, and 9% had both. Although the proportion of trisomies and IgH translocations were 4-6% higher among MM probands with a relative with MGUS compared to those without, these differences were not statistically significant (Table 1). MM probands with a first degree relative with MGUS also had a similar proportion of cytogenetic subtypes that are considered of intermediate or high risk compared to those MM without a family history (26.9% vs 25.2%) (p=0.79) (Table 1). When restricted to MM probands from MN, results remained non-statistically significant (Table 1). We showed an increased risk of MGUS in first-degree relatives of MM cases, implying shared environment and/or genetics underlying this malignancy. However, we did not find an association between family history of MGUS in MM probands and the cytogenetic subtypes examined. Larger cohorts are needed to examine if a relationship exists between cytogenetic subtypes of MM and familial risk. Disclosures Kumar: Noxxon Pharma: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; AbbVie: Research Funding; Onyx: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Glycomimetics: Consultancy; Kesios: Consultancy; Janssen: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Consultancy, Research Funding; BMS: Consultancy.

Abstract Background: Patients with monoclonal gammopathies typically have a single clone making a unique type of monoclonal protein, one heavy chain and one light chain. In a small proportion of patients, more than one (typically two) types of monoclonal protein can be seen and differ with respect to the heavy chain or light chain or both. There is limited information on the clinical course of patients with more than one monoclonal protein identified in their serum or urine. Objectives: We report outcomes of patients with more than one monoclonal protein at our institution over the past thirty years. Patients and Methods: We queried the existing clinical database to identify all patients with at least two different monoclonal protein types identified on serum or urine studies during the course of their disease. Retrospective chart review was performed on 551 patients, who had more than one type of monoclonal protein on electrophoresis and/or immunofixation. Results: Among the entire study cohort (N=551), 461 pts (84%) had a biclonal pattern, 7 (1%) had a triclonal pattern and the remaining 83 (15%) had a monoclonal pattern at the time of initial positive study. The median age at the time of initial diagnosis was 69.7 years (range; 32-93); 359 (65%) were male. Among these, 390 were diagnosed as MGUS/BGUS, 18 with SMM, 36 with MM, 20 with WM, and rest with another lymphoproliferative disorders. The median duration between the initial detection of monoclonal protein and the emergence of the biclonal protein was 40 months for the 83 patients, who were monoclonal initially. The distributions of the dominant monoclonal proteins were GK (30%), GL (21%), MK (22%), ML (9%), AK (9%), and AL (8%). The distributions of the second monoclonal proteins were GK (27%), GL (24%), MK (16%), ML (15%), AK (10%), and AL (7%). Overall, 20 patients with a MGUS/BGUS progressed to smoldering or symptomatic myeloma, while 12 patients with an initial diagnosis of SMM progressed to MM. The median estimated follow up for the MGUS/BGUS group and those with SMM were 6.5 years (95% CI; 5, 7) and 9.8 (95% CI; 4, 13), respectively. This translates to 20 progressions over 3822 person years of follow up for the MGUS/BGUS patient group and 12 progressions over 131 person years of follow up for the SMM group. The rate of progression was ~1% per year for patients with MGUS/BGUS and the median estimated time to progression was 2.6 years for the SMM group. (Figure). In majority of patients, the dominant M spike increased with the disease progression. Conclusion: Patients with biclonal gammopathies appear to have a similar rate of progression compared to what has been historically described for MGUS/ SMM population. For the patients who progressed and received treatment, both M proteins typically responded to therapy, and during relapse, the original dominant M protein typically reemerged as the dominant M protein. Figure 1 Figure 1. Disclosures Kumar: Janssen: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Sanofi-Aventis: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding; Millennium: The Takeda Oncology Co.: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Skyline Diagnostics: Membership on an entity's Board of Directors or advisory committees.

Abstract BACKGROUND Light-chain amyloidosis (AL) is the most common form of systemic amyloidosis, with an incidence of approximately 1 case/100,000 person-years. Clinically relevant data with regard to the very young (≤ 40 years) patients (pts) are scant. We present a case-control study of very young pts with AL seen at a single institution. METHODS We reviewed the medical records of all pts with AL who were consecutively evaluated at Mayo Clinic, Rochester, MN between 01/01/1995 and 12/31/2015. The clinical characteristics and survival outcomes of very young pts at the time of AL diagnosis (cases) were compared to a 2:1 matched cohort of pts (controls) with AL who were 65 years or older and matched by the time of diagnosis. Upfront autologous stem cell transplantation (ASCT) was defined as transplantation within 6 months of the diagnosis of AL. The Kaplan-Meier method was used to all time-to-event analyses. The average years of life lost was computed by subtracting the mean survival from diagnosis observed in the cohort from the mean survival expected in the population based on life-tables. RESULTS Of 3433 pts with AL, 50 (1.5%) pts were ≤ 40 years of age at diagnosis (cases). Fatigue, peripheral edema, dyspnea and bleeding were less common at presentation in cases compared to controls (table A). The cases were also more likely to have liver or GI involvement (OR= 3.45, 95% CI: 1.6-7.2). Unusual initial clinical features in the cases included unprovoked splenic rupture (2%) and erectile dysfunction (4%) observed 6-15 months prior to the diagnosis of AL in cases; no such features were observed in the control group. The median time between the onset of symptoms and definitive diagnosis was 0.4 years (95% CI: 0.3-0.7) for the cases and 1 year (95% CI: 0.8-1.2) for controls (p<0.0001). The ECOG performance score at diagnosis was ≥2 in 51% of cases compared to 78% of the controls (OR= 0.29, 95% CI: 0.14-0.63). The involvement by 3 or more organs at diagnosis was comparable [24 (48%) cases compared to 34 (34%) controls (p=0.11)]. Concomitant myelomatous (AL-CRAB) features were evident in 12% of each group and 27 (54%) cases and 37 (41%) controls had >10% BMPCs without active myeloma (AL-PCMM) (p=0.16). Monoclonal light chain involvement without involvement of heavy chain was seen in 23 cases (50%) and 31 controls (32%), (OR= 2.1, 95% CI: 1.04-4.37). The median follow-up was similar for cases and controls, [10.9 years (95% CI: 7.6-12) vs 9.9 years (95% CI 8-14)], respectively. The estimated average years-of-life lost was 8.6 years over 20 years of follow-up in cases, (Figure 1a). In cases, 1 and 10-year overall survival (OS) from diagnosis was 73% and 51%, respectively (median OS 12.7 years; 95% CI: 4.0-NR) while, in controls, 1 year and 10 year OS was 62% and 15% respectively (median OS 2.1 years; 95% CI (1.0-3.6), p<0.001), (Figure 1b). Cardiac involvement was associated with a worse OS in both cohorts, (cases: median OS was 3.2 years with cardiac involvement (95% CI: 0.6-8.7) vs NR (95% CI: 8.0-NR) in those without; p=0.003; controls: median OS was 1.1 years with cardiac involvement (95% CI: 0.53-1.6) vs 4.8 years (95% CI: 3.7-8.1) in those without; p=0.02. Thirty one of 47 (66%) cases were eligible and 20 of 79 (25%) controls were eligible for upfront ASCT. In cases, upfront ASCT was associated with a longer OS. Median OS was NR (95% CI: NR-NR) in pts who underwent upfront ASCT (n=25) vs 4.0 years (95% CI: 0.5-8) in pts who did not, p≤0.0001. For controls, the median OS was 9 years (95% CI: 0.5-11) for pts who underwent upfront ASCT (n=7) vs 1.6 years (95% CI: 1.0-2.8) for pts who did not (n=93), p=0.26. In cases, six (12%) pts underwent solid organ transplantation (kidney 5, heart 1) and none in the control arm. CONCLUSIONS AL amyloidosis is infrequently encountered at the age of ≤40 years, but the loss of productive years of life and the disease burden are substantial in this cohort. A substantial delay in diagnosis from the onset of symptoms was noted in our study in the control population. Cardiac involvement remains a primary determinant of prognosis irrespective to age. Although over one-half of young pts are alive 10 years after the diagnosis (contrast ≈15% ≥ 65 years), early mortality remains substantial irrespective of age. An ASCT-based approach is associated with superior outcome in the young. A greater proportion of the young pts is fitter and ASCT-eligible at diagnosis, and should therefore be offered this approach. Disclosures Dispenzieri: Jannsen: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; pfizer: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Alnylam: Research Funding. Kumar:Array BioPharma: Consultancy, Research Funding; Kesios: Consultancy; Onyx: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; AbbVie: Research Funding; Glycomimetics: Consultancy; Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; BMS: Consultancy; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees. Kapoor:Amgen: Research Funding; Takeda: Research Funding; Celgene: Research Funding.

Abstract Background: The serum free light chain (FLC) ratio is a readily available laboratory test that has independent prognostic significance in monoclonal gammopathy of undetermined significance (MGUS) (Blood2005;106:812–17) and solitary plasmacytoma (Blood2006;108:1979–83). The purpose of this study was to determine if the FLC ratio will be of prognostic value in multiple myeloma (MM). Methods: We used a well characterized cohort of 1027 newly diagnosed MM patients seen at Mayo Clinic from January 1, 1985 to December 31, 1998 (Mayo Clin Proc2003;78:21–33) to ensure adequate follow up. Archived serum samples from blood drawn within 30 days of initial diagnosis were available on 790 of the 1027 patients. Quantitation of serum free κ and λ concentrations was performed on the archived sera by immunonephelometry, using specific antibodies on a BNII nephelometer. FLC ratio was calculated as κ /λ, i.e., free κ concentration divided by free λ, reference range 0.26–1.65. If the FLC ratio is >1.65, κ is considered to be the “involved” FLC and λ the “uninvolved” FLC, and vice versa if the ratio is less than 0.26. Incorporation of FLC into the International Staging System (ISS) was assessed in 576 of 790 patients (73%), in whom samples or data were available to estimate the ISS. Results: 790 patients (median age 66 years) were studied. The FLC ratio was outside the reference range in 95.1% of patients. The median involved κ and λ concentrations were 37.1 and 71.3 mg/dL, respectively. A cut-point κ /λ FLC ratio of <0.03 or >32 was chosen for further modeling analysis on the basis of its separation of the cohort into two roughly comparable parts. Overall survival was significantly inferior in patients with an FLC ratio <0.03 or >32 (n=479 patients) compared to those with an FLC ratio that was 0.03–32 (n=311 patients), with median survival of 30 versus 39 months, respectively, P<0.001 (hazard ratio 1.3, 95% CI 1.12–1.54). The FLC ratio (<0.03 or >32) retained independent significance after adjusting for the International Staging System (ISS) (P=0.03). The FLC ratio made the most significant contribution to predicting prognosis in patients with ISS Stage 2 (n=265 pts), separating this category of patients into those with 5 year survival rates of 20.5% (FLC ratio <0.03 or >32; n=152 pts) versus 35.2% (FLC ratio 0.03–32; n=113 pts), P=0.02. We studied the additional prognostic value of the serum FLC to the variables used in the ISS by defining FLC ratio <0.03 or >32, Sβ2M ≥3.5 g/L, and serum albumin <3.5 g/dL as three risk factors in a risk-stratification model. Patients with 0, 1, 2, or 3 risk factors had significantly different overall survival, with median overall survival times of 51, 39, 30 and 22 months, respectively, P<0.001. Conclusions: The serum FLC ratio at initial diagnosis is an important predictor of prognosis in myeloma. We show that the serum FLC ratio can be incorporated into the ISS, providing the greatest prognostic value in ISS Stage 2 patients, as well as providing a new risk-stratification model.