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Abstract Background: Outcome studies for the unique cohort of young patients with multiple myeloma (MM) are sparse. In general, MM is a heterogenous disease with the genetic signature being one of the major determinants of prognosis. We have recently reported on improvement in overall survival (OS) of young patients with the use of novel agents, but the maximal survival gain has been achieved by integrating autologous stem cell transplant (SCT) to our current approach. Herein, we report on outcomes of patients with MM who were 50 years or younger at diagnosis and stratified by fluorescence in situ hybridization (FISH) results. Our study focuses on t(11;14) myeloma as its prognostic impact remains unclear with the use of novel agents upfront. Methods: Out of 1384 patients with MM, evaluated consecutively at Mayo Clinic, Rochester, MN between 1/1/2000 and 12/31/2011, 290 (21%) were 50 years or younger at diagnosis. Interphase FISH, performed within 100 days of diagnosis of MM, was utilized to stratify patients as high-risk [deletion 17p, t(14;16), t(14;20) or t(4;14)] or standard-risk [normal FISH, trisomies, t(11;14), t(6;14) or monosomy13/deletion 13q]. FISH results were available in 125 young patients that comprise the cohort of interest in the current study. OS from diagnosis was estimated by the Kaplan-Meier method. Results: Median age at diagnosis of MM was 47 years (range: 22 to 50 years) and 58% of the patients were male. At the time of data cut-off (7/31/2014), 45 (36%) patients had died with 90% of all known causes of deaths (n=39) being MM related. FISH abnormalities were noted in 114 (91%) patients. At diagnosis, 46%, 30% and 24% patients were categorized as International Staging System (ISS) stage I, II and III, respectively. The estimated median follow up was 60 months (95% CI: 54-67) and the 5-year OS rate was 69% [median 86 months (95% CI: 76-108)]. Standard (n=100; 80%) and high (n=25; 20%) risk patients had a median OS of 89 months (95% CI: 76-108) and 77.6 months (95% CI: 42-130), respectively (p=0.87). In order to further investigate the similar outcomes between these broad risk-groups with typically diverse disease course, we assessed the outcomes based on the common genetic abnormalities (Table 1) within each of the 2 categories. Presence of t(11;14) (n=37; 29%) was associated with a significantly shorter median OS (76 months) compared to patients with trisomic and normal FISH profile (n=46) (91 months, p=0.01; Figure 1). Patients with t(11;14) also had a significantly shorter median OS compared to those with other standard-risk FISH abnormalities (median OS 96 months, p=0.02). Presence of t(11;14) was not associated with higher plasma cell labeling index (PCLI, p=0.29) or worse ISS stage (p=0.99) compared to patients without t(11;14). OS survival of patients with t(11;14) was similar to those with high risk features (median 76.2 vs. 77.6 months, p=0.32). Of 24 (65%) patients with t(11;14) who underwent SCT, 79% had early SCT (within 12 months from diagnosis). Median OS was 79.4 months (95% CI: 36-108) vs. not reached (NR) (95% CI: 27-NR), respectively (p=0.79) in early versus late SCT. Twenty-one (57%) and 13 (35%) patients with t(11;14) received initial immunomodulatory drugs or bortezomib-based therapies, respectively. Those receiving frontline bortezomib had a higher median OS (76.2 months, 95% CI 76-79) compared to 64.8 months (95% CI 32-108) with other initial agents although it did not reach statistical significance (p=0.78). Conclusion: Presence of t(11;14) is associated with an inferior OS compared to patients with normal FISH, trisomies, or other standard risk abnormalities in young patients with MM. Given, the inherent biases associated with a retrospective study from a referral institution, our findings require external validation. However, our data suggest that our current therapeutic approaches in managing young patients with this unique genetic signature are inadequate. Table 1FISHn(%)Median OS in months (95% CI)t(11;14)37(29)76.2 (53.5-107.7)Trisomies35(28)91.3 (76.4-NR)13/del(13q)11(9)NR (32-NR)Normal11(9)95.5 (45.4-95.6)t(4;14)11(9)NR (40.1-NR)del(17p)/-1710(8)42 (19.2-129.6)t(14;16)4(3)77.6 (42.4-NR)Others6(5)NR (11.5-NR) Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Abstract Background:A goal of “post-genomic” cancer care is development of specific, affordable, reliable and rapid next-generation sequencing-based assays determining prognosis, therapeutic selection and minimal disease monitoring, replacing older technologies in the diagnostic and monitoring workup. In this regard, we designed and deployed a custom gene panel for identification of mutations, copy-number changes and clonal frequency in multiple myeloma (MM) samples. Methods: The MM Mutation Panel Version 2.0 (M3P 2.0)1 includes 1271 amplicons from 77 genes that are either mutated in MM (genes with a published mutation incidence ≥3%), represent critical pathophysiological pathways, are targetable with small molecule-based therapies and/or are associated with drug resistance (eg. XBP-1, CRBN, IZKF, IRF4). The amplicons are spread across 21 chromosomes, allowing the identification of copy-number changes in these regions. Results: We have sequenced 38 MM cases (150 will be presented) with paired tumor-germline DNA samples, using only 20ng of DNA for library preparation. Patients (Pts) included 29 untreated and 9 MM pts with multi drug refractory disease. Coverage depth averaged 964X. Hyperdiploid MM was successfully identified in 45% of cases, del(13q) in 34%, del(1p) in 18%, del(17p) in 8% and gain of 1q in 13%. Array CGH in representative cases confirmed concordance with semiconductor sequencing. Overall, 71 exonic missense and 3 nonsense mutations were detected, and 7 frameshift indels. In 89% of the pts a mutation in at least one M3P2.0 gene was identified (range 1-8). 92% of mutations were predicted damaging (Provean, Polyphene-2 or SIFT). Most commonly mutated were KRAS (37%), NRAS (21%), BRAF (13%), TP53, CDKN1B, DIS3 (each 11%), FAM46C, STAT3, and IRF4 (each 8%). The MEK-ERK pathway was mutated in 61% of cases and in 3 cases more than one gene in this pathway (NRAS, KRAS, BRAF) was simultaneously mutated. Six mutations in BRAF were identified in 5 untreated pts, 3 of them known to be activating and targetable (Val600E). Other commonly mutated pathways were the NFKB pathway in 24% of pts and the Cyclin D pathway, mutated in 16% of cases. Genes of the cereblon pathway (CRBN, IRF4, IKZF3), essential for the action of lenalidomide (len) were mutated in 5 Pts. One newly diagnosed and len refractory Pt harbored a subclonal CRBN mutation (Asn316Lys, allelic fraction [AF] 20%) as well as 4 clonal IRF4 mutations within the DNA binding domain of the gene (Lys89Asn (AF 78%), Lys77Glu, Ser48Arg and Cys49Ser (AF 80% each). Another IRF4 mutated (Lys123Arg, AF 90%) hemodialysis dependent Pt was responsive to dose adapted treatment of len and dexamethasone (dex). Mutations in the C2H2-type 3 region of IKZF3 in a len resistant (Gly191Arg, AF 48%) pt occured as well as in a len and dex responsive (Arg242Gly, AF 52%) Pt. Furthermore, we identified a truncating XBP1 mutation (p.Leu232*, 97% AF) in a Pt refractory to bortezomib. One patient harbored a mutation in the steroid receptor NR3C1 (Pro255Leu, 22% variant reads). Finally, integrated mutation and copy-number data identified biallelic deletions of CDKN2C and FAM46C in a multi drug refractory Pt. Mutation and/or copy-number losses in both alleles were found in DIS3 in 4 Pts, in CYLD, TP53 and TRAF3 in 2 Pts and in CARD11, CDKN2A, CDKN1B, RB1and STAT3 in one Pt each. Conclusion: In summary, we report the initial results from 38 MM Pts using a custom MM sequencing panel which employs small amounts of DNA requiring very few cells and providing deep coverage in clinically meaningful timeframes. Our findings frequently include prognostically significant information, actionable targets and mutations in genes related to drug resistance. Targeted mutation profiling will likely become part of the clinical workup in MM and our M3P2.0 mutation panel is a suitable tool to provide information needed to guide precision therapy and to set the basis for individually tailored treatment decisions. 1. Kortuem KM. et al. Development Of a 47 Gene Sequencing Panel For Common Mutations Present In Multiple Myeloma: Preliminary Results In 77 p53 Deleted Patients, ASH 2013. Disclosures Stewart: Celgene: Consultancy; Bristol Myers Squibb: Consultancy; Array BioPharma: Consultancy; Sanofi: Consultancy; Takeda Pharmaceuticals International Co.: Research Funding; Novartis: Consultancy. Bruins:OncoSpire: Salary support Other. Vasmatzis:OncoSpire: Salary Support Other. Kumar:Celgene: Consultancy, Research Funding; Millennium: The Takeda Oncology Co.: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding; Sanofi-Aventis: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Skyline Diagnostics: Membership on an entity's Board of Directors or advisory committees. Fonseca:Medtronic, Otsuka, Celgene, Genzyme, BMS, Lilly, Onyx, Binding Site, Millennium, AMGEN: Consultancy, patent for the prognostication of MM based on genetic categorization of the disease. He also has sponsored research from Cylene and Onyx Other, Research Funding. Bergsagel:MundiPharma: Research Funding; OncoEthix: Research Funding; Constellation Pharmaceutical: Research Funding; Novartis: Research Funding.

Abstract Background: Both MM specific and patient specific parameters place patients at risk for death. Patient frailty has been delineated primarily by age and ECOG performance score (PS) and secondarily with creatinine, eGFR, and the International Staging System (ISS), which reflect both renal function and disease burden. In an attempt to improve upon these commonly used measures, a frailty score for elderly patients that combines functional status [Activity of Daily Living (ADL) and Instrumental Activity of Daily living scores], comorbidities [Charlson comorbidity index (CCI)] and age has been developed by the IMWG. Incorporation of these tools into a busy clinical practice is challenging due to time constraints. Therefore, the identification of frail patients with an easily applicable, rapid and objective tool remains a challenge and an unmet need. A reliable, non-invasively assessable, biochemical marker of frailty would be an ideal tool to identify patients at higher risk of death. It was our goal to determine the role of NT-proBNP, a well-established cardiovascular risk biomarker, as a marker of frailty in patients with MM and in predicting overall survival (OS). Methods: Patients were elegible for this retrospective study if they were seen at the Mayo Clinic, Rochester, MN within 30 days of their myeloma diagnosis during the interval between 1/1/2007 and 12/31/2011. As part of the Mayo Clinic registration, all patients complete forms containing their past medical history, symptoms, and ADLs. Data from that first visit was abstracted and used to calculate a CCI. We excluded all patients with a concomitant diagnosis of light-chain AL amyloidosis. NT-proBNP concentration was measured in frozen sera collected within 30 days of diagnosis. NT-proBNP assay was run on the E170 Modular analyzer (Roche Diagnostics, Penzberg, Germany). We evaluated the prognostic role of NT-proBNP and these indices on OS using the Kaplan-Meier method. Results: Among the 351 consecutive patients satisfying entry criteria, median age was 65 years (range 22-95), 33% were ≥70 years, and 56% were male. Twenty-eight percent were ISS stage III, 13% had a creatinine ≥2 mg/dL, 19% had PS ≥2, and 11% had ADL score ≥2, and 30% CCI ≥2. The median value of NT-proBNP was 109 ng/L (interquartile range: 30-375 ng/L). NT-proBNP concentrations differed in the three ISS stages (median: 122 ng/L stage I, 190 ng/L stage II and 1822 ng/L stage III, P<0.0001). Median OS was 5.6 years. The best cutoff of NT-proBNP predicting OS at one year was 301 ng/L (sensitivity: 57.88%, specificity: 74.29%; AUC=0.668) and distinguished two groups with different OS (median not reached vs. 35 months, P<0.0001). Variables predictive for OS are shown in the Table and included PS, age, CCI, ISS, NT-proBNP. On multivariate analysis, ISS and NT-proBNP were independent of each other as long as age, PS and/or CCI were excluded from the model. NT-proBNP withstood these clinical variables better than did ISS (data not shown). We built two different models (table). In model 1, NT-proBNP >301 ng/L was an independent predictor of survival while age ≥70 and PS ≥2 and CCI were not significant. However, if we considered ISS stage instead of NT-proBNP in the same model, ISS stage was not significant. Conclusions: In this unselected cohort of patients with newly diagnosed multiple myeloma, NT-proBNP was a useful predictor of survival independent of age and PS. The threshold of 301 ng/L is remarkably similar to the well-established cutoff for heart failure of 300 ng/L. NT-proBNP outperformed the CCI and the ISS as risk factors. NT-proBNP is a widely available biomarker that could be added to the panel of laboratory tests of newly diagnosed MM patients and serve as a simple means of determining patient frailty in a busy clinical practice. Table. Results of univariate and multivariate analysis of various prognostic factors (NS, not significant; NI, not included). Univariate Multivariate Multivariate RR (95% CI) P Model 1 P Model 2 P PS ≥2 3.4 (2.4-4.8) <0.0001 2.5 (1.7-3.6) <0.0001 2.8 (1.9-4.0) <0.0001 Age ≥70 2.7 (1.9-3.6) <0.0001 2.1 (1.5-2.9) <0.0001 1.9 (1.3-2.7) 0.0003 CCI >=2 1.9 (1.4-2.6) <0.0001 NS NS 1.5 (1.0-2.0) 0.03 ISS stage 1.1 (1.1-1.8) 0.0004 NI NI NS NS NT-proBNP >301 ng/L 2.3 (1.7-3.2) <0.0001 1.6 (1.1-2.2) 0.007 NI NI Disclosures Merlini: Janssen-Cilag: Honoraria; Prothena: Honoraria; Millennium-Takeda: Honoraria; Pfizer: Honoraria. Kumar:Janssen: Research Funding; Celgene: Research Funding; Sanofi: Research Funding; Millenium/Takeda: Research Funding; AbbVie: Research Funding; Onyx: Research Funding; Celgene, Millenium, Sanofi, Skyline, BMS, Onyx, Noxxon,: Other: Consultant, no compensation,; Skyline, Noxxon: Honoraria.

Abstract Abstract 201 Background: Pomalidomide at doses of 2 or 4 mg/d has demonstrated excellent activity in patients with relapsed multiple myeloma (MM). Between November 2007 and March 2012, we opened 6 sequential phase 2 trials and treated 345 patients with relapsed MM with pomalidomide at differing doses with weekly dexamethasone (Pom/dex). Results of 164 of these patients have been previously published. Here we describe long term follow up of these patients as well as results of an additional 181 patients with relapsed MM treated with the Pom/dex regimen. Methods: The six cohorts consisted of: Cohort 1 (N=60): relapsed MM with 1–3 prior regimens, 2 mg dose; Cohort 2 (N=34): lenalidomide (LEN) refractory, 2 mg dose; Cohort 3 (N=35): BZ)/LEN refractory, 2 mg dose; Cohort 4 (N=35): BZ/LEN refractory, 4 mg dose; Cohort 5 (N=60) LEN refractory, 1–3 prior regimens, 4 mg dose; and Cohort 6 (N=120) LEN refractory, 4 mg dose. Pomalidomide was given orally 2 mg daily or 4mg daily on days 1–28(cohorts 1–5) or 1–21 (cohort 6) of a 28-day cycle with oral dexamethasone given 40 mg daily on days 1, 8, 15 and 22. Response was assessed by the International Myeloma Working Group Uniform Response criteria. All patients received aspirin 325 mg daily for deep venous thrombosis (VTE) prophylaxis or full dose anticoagulation. Results: A total of 345 patients were enrolled across all 6 cohorts. One patient was ineligible and excluded from analysis. The median age was 64 years (32–88). The median time since diagnosis was 53 months. The median number of prior therapies was 3 (1–14). 147 (44%) had high-risk molecular markers by mSMART criteria. Prior therapies consisted of thalidomide 52%, lenalidomide 87%, bortezomib 75%, autologous stem cell transplant 70% and allogeneic transplant 3%. The median follow-up is 10.4 months (5.4–34 months). Sixty-seven percent are alive and 32% remain progression free. 46 patients are continuing to receive treatment. The most common toxicities (grade 3 or higher) were neutropenia (31%), anemia (16%), thrombocytopenia (12%), pneumonia (8%) and fatigue (8%). VTE was seen in 10 patients (3%). Outcomes are shown in Table 1. Across all 6 cohorts confirmed responses of partial response (PR) or better were seen in 34%. The response rate in all patients with mSMART high risk status was 30.6%. Responses and duration of response (DOR) in those with high risk molecular markers include: 17p– 19 of 56 (34%) DOR 8.2 months; t(4;14) 6 of 24 (25%) and DOR 4.8 months; t(14;16) 7 of 11(64%) and DOR 9.5 months; deletion 13 by cytogenetics 13 of 37 (35%) with DOR 8.2 months. In a multivariate analysis, only LDH > ULN, number of prior regimens, and prior BZ therapy were predictive of a shorter TTP and factors associated with a poor OS following initiation of pomalidomide therapy included B2M > 5.5, LDH > ULN,number of prior regimens, and prior BZ therapy. Conclusions: Pom/dex is active and well tolerated even in heavily pretreated patients and those with high risk molecular markers. Remissions are durable. Response rates and toxicity are similar between the 2 mg and 4 mg doses. Disclosures: Lacy: Celgene: Research Funding. Stewart:Celgene: Consultancy, Honoraria. Reeder:Celgene: Mayo Clinic receives funding from Celgene to support clinical trials Other, Research Funding.

Abstract Abstract 76 Background: We measured proliferation in MM cells transfected with 13,984 small interfering RNAs in the absence/presence of increasing concentrations of bortezomib (BTZ) and identified 37 non lethal genes as reproducible BTZ sensitizers. The strongest hit was CDK5 a gene expressed at high levels in MM and neural tissues with relatively low expression in other organs suggesting a large therapeutic window. The small molecule CDK5 inhibitor Dinaciclib is a novel, potent, small molecule inhibitor of cyclin dependent kinases (CDK). It selectively inhibits CDK1, CDK 2, CDK 5 and CDK9 with 50% inhibitory concentrations (IC50) in the low nanomolar concentration. Based on these data, we undertook the current trial to evaluate the maximally tolerated dose of Dinaciclib in this patient population as well as assess the efficacy of single agent Dinaciclib in relapsed MM. Patients and Methods: Patients with relapsed MM and measurable disease were enrolled on this phase 1/2 trial provided they had not more than 4 prior lines of therapy for MM, had adequate performance status and organ and hematological function. Patients receiving strong inhibitors/inducers of CYP3A4 were not allowed unless the drugs could be discontinued. The primary objectives were to (i) to determine the MTD of dinaciclib in subjects with relapsed MM (phase 1) and (ii) to evaluate the confirmed response rate with dinaciclib in patients with relapsed MM (phase 2). Dinaciclib was administered on day 1 of a 21-day cycle at doses of 30–50 mg/m2. Dose escalation was done using a 3+3 design and MTD was defined as one dose level below that resulted in >=2 DLTs among 6 patients. Results: Overall, twenty-nine patients were accrued to this study (19 phase I, 10 phase II) from July 2009 to December 2011. Two patients were replaced for study violations and are not included in analysis. The Phase II analysis included the 6 patients treated at the Phase I dose level 50mg/m2 as well as the first 9 patients accrued to the Phase II portion (15 evaluable patients). The median age of the 27 evaluable patients was 66 (range, 49–81); 52% were male. The median duration from diagnosis was 42 months (range, 7–207 months); median number of prior therapies was 4 (range, 1–5). Overall, 11 (41%) patients were considered high-risk by FISH and 56% were ISS stage III at study entry. Patients have received a median of 2 cycles (range: 1–12) and all patients have discontinued treatment for disease progression (18), alternative Treatment (2), adverse Event (4), or other reasons (3). One dose limiting toxicity was seen over all dose levels. One patient at 40 mg/m2 experienced grade 3 constipation possibly related to treatment. The dose level of 50 mg/m2 was determined to be the MTD for the Phase II portion. The overall confirmed response rate was 3 of 27 (11%); including two patients at 40 mg/m2 dose (1 VGPR, 1 PR) and one patient at 50 mg/m2 dose (1 VGPR) with a PR or better. In addition, two patients at 50 mg/mg2 dose have achieved an MR; translating to an overall response rate of 18.5% (5 of 27). Figure 1 shows a waterfall plot of the M protein responses among patients with a measurable M spike. Overall, 21 patients had disease progression and 14 patients have died. Median follow-up for patients still alive is 11.8 months (range: 6.5–19.3). Leukopenia and thrombocytopenia were the most common hematological AEs, and gastrointestinal symptoms, alopecia, and fatigue, were the most common non-hematological AEs seen in the study. Conclusions: The current study demonstrates potential single agent anti-myeloma activity of dinaciclib in a relapsed MM patient population with 2 patients achieving a deep response (VGPR) and many patients obtaining some degree of M protein stabilization or decrease. Ongoing studies are examining dinaciclib in combination with proteasome inhibitors, exploring both weekly and every three-week dosing schedules. Disclosures: Zonder: Millennium Pharmaceuticals, Inc: Consultancy, Research Funding; Celgene: Research Funding.

Abstract Abstract 600 Background: Both MM and AL are plasma cell neoplasms. The underlying clone in both diseases appears to be different not only in terms of “tumor burden” but also in terms of their underlying biology. The overall “fitness” of patients with these two diseases is also different, with AL patients having more major organ dysfunction. Therapy for both diseases is directed at killing the underlying clone. ASCT is one method of reducing the clone size and thereby improving overall survival. Post-ASCT outcomes between the two diseases have never been formally compared. Methods: We compiled all patients with a diagnosis of AL or MM who received ASCT at the Mayo Clinic Rochester between June 1996 and January 2011 to compare outcomes. Patients were retrieved from two prospectively maintained clinical transplant data bases (M.A.G.). Differences between groups were compared using Fisher's exact and Wilcoxon tests. Survival was calculated using the method of Kaplan-Meier, and differences between survival outcomes were calculated by log rank. Cox regression modeling was done to determine how non-disease specific variables—i.e. age, time period of ASCT, number of prior regimens, time to ASCT from diagnosis and acquisition of complete response (CR)—affected outcomes. All statistical analyses were performed using JMP (SAS, NC) software. This study was approved by the Mayo IRB. Results: The data set was comprised of 454 patients with AL and 1116 patients with MM. There were significant differences between the two respective groups of patients in terms of number of prior regimens (0 vs 1, p<0.0001), time to ASCT (3.95 months vs 7.20 months, p<0.0001), intensity of conditioning regimen (non-attenuated in 69.4% vs 89.1%, p<0.0001), serum creatinine (1.1mg/dl vs 1mg/dl p<0.0001), creatinine clearance (72.5 ml/minute vs 80 ml/minute p<0.0001), albumin (2.61g/dl vs 3.50g/dl, p<0.0001) CRP (0.40mg/dl vs 0.63mg/dl p<0.0001), LDH (196 U/l vs 182U/l, p<0.0001), and bone marrow plasmacytosis at transplant (6% vs 9%, p<0.0001). Hematologic response rates were also significantly different between the groups, with higher overall hematologic response in the MM group (90.9% vs 79.5%, p<0.0001) and higher complete response (CR) rates (40.1% vs 29.4%, p<0.0001) in the AL group. With a median follow-up of surviving patients of 68 months, the respective median overall survival (OS) for the AL and MM patients was 113 and 59.5 months, p<0.0001. Notably, the 5-year OS of AL and MM patients achieving CR were 91.4% and 57.7%, respectively, p<0.0001. If only those patients who were transplanted within 1 year of their diagnosis are included in the analysis, the respective 5-year OS of AL and MM patients achieving CR were 90.4% and 61.3%, p<0.0001 (Figure 1). To correct for imbalances in non-disease specific parameters, 3 multivariate analyses were performed using: 1) all patients; 2) only those achieving CR; and 3) only those who achieved a CR and were transplanted within 12 months of their diagnosis (Table 1). Among those patients achieving CR, MM patients had nearly a 4-fold risk of death as compared to patients with AL. Conclusion: Although ASCT is not available to all patients with either AL or MM, there is a significant difference in outcomes based on the diagnosis. Patients with AL who undergo ASCT enjoy a superior survival as compared MM patients undergoing the same procedure. This difference is most notable among those patients who achieve CR suggesting very different plasma cell biology between the two diseases. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 934 Background: An increased risk of developing myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) has been observed for over 40 years in patients with multiple myeloma (MM). While treatment for MM has been implicated as the cause of excess MDS/AML, the risk may also be related to the underlying plasma cell proliferative disease process or an inherent predisposition to other hematologic malignancies in patients with plasma cell disorders. A recent study found an increased risk of AML/MDS for patients with monoclonal gammopathy of undetermined significance (MGUS) where there is no confounding chemotherapy effect to consider (Mailankody S, Blood2011; 118:4086-92). However, that report is subject to detection bias (i.e. association is related to reason for electrophoretic testing rather than the result of the test) since the population was not uniformly screened for MGUS. The purpose of this study was to determine if there was an increased risk of AML/MDS and other acute leukemias in persons with MGUS in a large population-based cohort systematically screened for the presence or absence of MGUS. Methods: The study utilized the population-based cohort established to estimate the prevalence of MGUS in the general population (N Engl J Med 2006; 354:1362-9). Serum samples were collected from 21,463 of the 28,038 residents of Olmsted County, Minnesota age 50 years or older as of 1/1/1995. Serum electrophoresis and immunofixation were used to determine MGUS status by testing all serum samples for the presence of a monoclonal protein. MGUS status was then linked to diagnoses entered in the Mayo Clinic Medical Index from 1/1/1975 to last follow up or 5/31/2006. For any patient in whom the diagnosis of AML/MDS or acute lymphoblastic leukemia (ALL) was in doubt, the diagnosis was verified by medical record review. For MGUS patients who progressed to MM or related disorder, only diagnosis of leukemia made prior to progression was considered. Results: 17,315 patients who consented to serum analysis were included in this study; blinded patients included in the original cohort could not be evaluated. The final study cohort represents 435,021 person-years of follow-up. Mean follow up for patients with MGUS (n=605) was 24.64 years (range 0.11–30.57); controls (n=16,710) had a mean follow up of 25.14 years (range 0.01–31.40). MGUS patients had a significantly higher risk of developing acute leukemia (AML/ALL) or MDS compared to controls, risk ratio 2.20 (95% CI 1.23–3.92), p=0.008 (see Table). There was a higher risk of developing AML/MDS compared to controls, risk ratio 1.80 (95% CI .09-3.59), p=0.09. The risk of developing MDS was statistically significant (RR=2.10, p=0.049). MGUS patients had a 4.18-fold increased risk of developing ALL (p=0.010) and a 2.35-fold increased risk of developing any acute leukemia (p=0.050) over the general population. In subset analysis, patients with IgA/IgG MGUS had a 1.99-fold increased risk of developing MDS (p=0.108), while patients with an IgM M spike had a 2.81-fold increased risk of developing MDS over controls (p=0.152). Though MDS was observed in patients with IgA, IgG, and IgM M-spikes, AML was only observed only in patients with IgA or IgG isotypes (n=2/484). Conclusion: Our population-based study suggests MGUS is associated with a 1.8-fold increased risk of developing MDS/AML over the general population. The risk of AML/MDS is more modest than the 8-fold increased risk suggested in a previous report (Mailankody S, Blood2011; 118:4086-92). The smaller risk ratios in our study are likely related to our population-based cohort design that uniformly screened for the presence or absence of MGUS, and thereby minimized any amplification of risk that can occur in the presence of ascertainment bias. We also found a significant increase in the risk of ALL in persons with MGUS that requires further study. Our study supports the hypothesis that there may be an inherent increased risk of acute leukemia and MDS in patients with plasma cell disorders that is independent of myeloma therapy. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 599 Purpose: This study was undertaken to develop selection guidelines for transplant centers to determine eligibility for stem cell transplantation in patients with light chain amyloidosis. Patients and Methods: Patients with biopsy-confirmed immunoglobulin light chain amyloidosis who underwent stem cell transplantation between March 8, 1996, and December 31, 2011, were reviewed in 2 cohorts: those who underwent transplantation between March 8, 1996, and June 30, 2009, and those who underwent transplantation between July 1, 2009, and December 31, 2011 (table 1). A second comparison was undertaken among patients who died before posttransplant day 100 to determine features predictive of early death (table 2). Results: A total of 499 patients were identified, 410 in the earlier group and 89 in the later group. After July 1, 2009, significantly fewer transplant recipients had Mayo stage III cardiac involvement. Mortality before posttransplant day 100 was 10.5% (43/410) in the earlier group and 1.1% (1/89) in the later group. In the earlier group, one-quarter of transplant recipients with N-terminal pro-brain natriuretic peptide (NT-proBNP) levels higher than 5,000 pg/mL died by 10.3 months (fig 1, left). When the serum troponin T level was > 0.06 ng/mL, 25% died at 3.7 months (fig 2, right). Conclusion: The Mayo staging system is highly predictive for overall survival but not useful for selecting transplant recipients. Patients with serum troponin T levels higher than 0.06 ng/mL or NT-proBNP levels >5,000 pg/mL (not on dialysis) should not be considered acceptable candidates for stem cell transplantation because of unacceptable early mortality. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 3972 Background: The treatment paradigm for myeloma has undergone a dramatic shift in the past decade with the introduction of the novel agents and their application at every stage of the treatment. We and others had previously shown that survival of patients with myeloma had improved in the earlier half of the last decade and attributed this to a combination of novel therapies as well as increased use of stem cell transplant. It is not clear if this momentum in improving survival has been maintained. We examined the survival trends of patients with newly diagnosed myeloma seen within the past decade to examine this question. Patients and Methods: We studied 1056 patients with newly diagnosed myeloma, who were seen at Mayo Clinic between January 1, 2001 and December 31, 2010; who were seen within 30 days of their diagnosis. For examination of the time trends, we grouped the time interval into two five year periods, 2001–2005 and 2006–2010. Survival was estimated using Kaplan Meier method and survival curves were compared by log rank test. Impact of various prognostic factors was evaluated using Cox proportional hazards test. Results: The median age at diagnosis was 65 (range; 22–92), and 59% were male. The median estimated follow up for the entire cohort was 4.6 years (95% CI; 4.4, 4.9) and 57% of the patients were alive at last follow up. The median overall survival (OS) for the entire cohort was 5.4 years (95% CI; 5, 6.3). The overall survival for patients in the 2001–2005 group was 4.6 years compared with not reached for the 2006–2010 cohort (P< 0.001). The five-year estimated OS was 48% for the earlier group compared with 66% for the latter group. The estimated 1-year survival was 90% for the recent cohort compared with 83% for the earlier cohort, suggesting improvements in the early mortality. Interestingly, the improvement was predominantly seen in the older age group (>65 years; 49%). The 5-year survival of the older patients improved significantly from 31% (2001–2005) to 56% (2006–2010) (P<0.001). In contrast, among younger patients (≤65 years of age), the 5-year survival improved only marginally from 63% (2001–2005) to 73% (2006–2010) (P=NS). One or more novel agents (Lenalidomide, thalidomide or bortezomib) were used as part of initial therapy in 631 (62% of 1021 in whom treatment data was available). The OS among of this group was 7.3 years (95% CI; 5.9, NR) compared with 3.8 years (95% CI; 3.1, 4.6). In a multivariate model that included both use of novel agent and the year group, only the novel agent use was associated with improved survival suggesting that the improvement in the survival is related to the increased use of novel agents in the initial therapy. No significant differences were observed between the groups in terms of conventional prognostic factors. Conclusions: The current results confirm continued improvement in the overall survival of patients, even within the last 10 year period, and highlight the impact of initial therapy with novel agents. Most importantly, we demonstrate that the improved survival has primarily benefited older patients. Our study highlights that urgent need for additional new agents to provide further survival improvement for younger patients, and in order achieve a cure for this disease. Disclosures: Kumar: Merck: Consultancy, Honoraria; Celgene: Research Funding; Millennium: Research Funding; Novartis: Research Funding; Cephalon: Research Funding; Genzyme: Research Funding. Dispenzieri:Celgene: Research Funding; Millennium Pharmaceuticals, Inc.: Research Funding; Janssen Research & Development: Research Funding. Gertz:Binding Site: Honoraria.

Abstract Abstract 602 Although, MM remains the most common indication for ASCT in the US, a controversy exists about the timing of ASCT. Since early ASCT (eASCT) versus delayed ASCT (dASCT) results in similar progression free survival (PFS) and overall survival (OS) in the novel agent era, economic assessment of one strategy over the other may help both clinicians and policy makers in establishing guidelines in the MM treatment paradigm. Here we designed a study to model a decision tree of both the strategies and estimate their cost-effectiveness. A decision tree was developed to compare the outcomes of ASCT in newly diagnosed transplant eligible MM patients after chemotherapy with novel drug lenalidomide which formed the base case. The survival data was obtained from our published data on eASCT versus dASCT in MM patients who underwent initial therapy with dexamethasone + immunomodulatory agents (IMiDs). The initial decision node on the decision tree model was dichotomized based on the cutoff of 12 months for eASCT versus dASCT. The probabilities of events during the length of follow up (60 months) period which formed our base case were: (a) eASCT cohort: Induction chemotherapy for median of 6 months - ASCT - median 30 months to relapse (drug free interval) followed by median therapy of 24 months for relapsed MM; (b) dASCT cohort: Median initial therapy for 36 months - ASCT - median 24 months to relapse (drug free interval). The cost analysis was done from a US third party payer perspective. The cost data for MM ASCT was obtained from the published data in which direct hospital costs were obtained from Nationwide Inpatient Sample and were converted to Medicare cost-to-charge ratio for urban hospitals. Chemotherapy cost consisted of actual drug costs that calculated based on average wholesale prices AWP (2008), costs of medical oncology visits, and the costs of managing adverse events. Post-ASCT maintenance costs were not included in the analysis. TreeAge Pro 2012 software was used to perform a static decision analysis. The outcomes were expressed in the units of health utility values obtained from phase III HOVON trial which measured quality of life (QoL) using EORTC QLQ-C30 & EuroQoL-5D. All scales and items were linearly transformed to range from 0 to 100. The utilities measured by the EuroQol-5D ranged from 0.40 before induction therapy to 0.70 after ASCT and translated to QALYs using area under the curve method. Using a Consumer Price Index (CPI), the costs of ASCT and chemotherapy were converted into 2012 US$. The robustness of the decision model was tested through univariate analyses and tornado diagram to identify those variables which if varied across clinically relevant measures may result in difference in outcomes. The expected cost of providing treatment to newly diagnosed MM patients for a period of 5 years when they undergo eASCT after induction with IMiDs was calculated to be $211,869. This was $52,454 less than the expected cost of undergoing dASCT. Patients who underwent eASCT had an expected benefit of 2.06 QALYs following treatment, which was 0.19 QALYs more than the patients who received dASCT. This implies that eASCT is preferred over (dominates) dASCT. One-way sensitivity analysis was undertaken to identify factors that were found to be most influential and included OS, overall response rate (ORR) and 1 year ASCT related mortality rate (TRM). Specifically, eASCT showed dominance even if the probability of OS was lowered to 52.1% from the actual case base of 65%, or the probability of ORR was lowered to ≥ 75.8% from the actual case base of 92%, or the probability of 1 year TRM was increased to 11.5% from actual case base of 2%, indicating the robustness of the model favoring cost effectiveness of eASCT. In absence of a survival benefit, the cost savings of early ASCT as measured by ICER would favor this approach, and it would help clinicians, patients, policy makers and third party payers in decision making. Future prospective studies in MM ASCT should incorporate economic and QOL components in the analysis and also focus on the added cost of post-ASCT maintenance therapies with respect to ICER and QALYs. Disclosures: No relevant conflicts of interest to declare.