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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 4217 Background: AHCT improves survival (OS) in newly diagnosed MM patients (pts) in large randomized trials. These trials have limited eligibility to younger, healthier pts. Selection of older pts and those with co-morbid illness for AHCT is problematic. HCT-CI, originally developed as predictor of post-allogeneic transplant outcomes, maybe valuable in stratifying risk of transplant related mortality (TRM) risk and OS in the AHCT setting. We investigated the relative impact of HCT CI along with other patient and MM related variables on outcomes after AHCT in a large cohort of transplant recipients. Methods: Outcomes of 1156 MM pts receiving AHCT after high dose Melphalan (MEL) between 2007 and 2010 reported to the CIBMTR (Center for International Blood and Marrow Transplant Research) were analyzed. HCTCI scores and individual comorbidities were prospectively reported at time of AHCT. Median follow up of survivors was 26 month. The impact of HCTCI and other potential prognostic factors including Karnofsky performance status (KPS) on OS were studied in multivariate Cox regression models. Results: HCTCI score was 0, 1, 2, 3, >3 in 42%, 18%, 13%, 13% and 14% respectively. Most common co-morbidities included pulmonary, diabetes, obesity, psychiatric, cardiac, renal and prior solid tumor. Using consolidated HCTCI scores, patients were stratified initially into 3 risk groups – HCTCI 0 (42%) vs. HCTCI 1–2 (32%) vs. HCTCI >2 (26%). Males and Caucasians were more likely to have greater HCTCI score. Higher HCTCI was associated with lower KPS <90 (33% in HCTCI 0 cohort vs. 50% in HCTCI >2). HCTCI score >2 was associated with MEL dose reduction to 140 mg/m2 (22% vs. 10% in score 0 cohort). Cytogenetic risk and MM related factors were not correlated with HCTCI. TRM at 12 month was 2%, 2%, and 3% for 3 risk groups. With extremely few TRM events, multivariate analysis did not suggest an impact of HCTCI. OS was 95%, 92%, 92% at 1 year and 87%, 81%, 80% at 2 year, respectively. OS was inferior for HCTCI >2 cohort (RR of death 1.48, p=0.02) and HCTCI cohort 1–2 (RR 1.37, p=0.04) compared with HCTCI 0 cohort. There was no significant difference in OS between HCTCI >2 vs. HCTCI 1–2 (p=0.64). Therefore the latter 2 groups were combined as the HCTCI >0 cohort [N=667] and compared with HCTCI=0 [N=489] in multivariate models. HCTCI >0 predicted inferior OS (RR of death= 1.41, p=0.01). Other significant predictors of inferior survival were KPS <90 (RR of death 1.61, p<0.01), IgA subtype (RR 1.64, p<0.01), >1 pretransplant regimen (RR 1.47, p<0.01), resistant MM at AHCT (RR 1.78, p<0.01). Major cause of death in both groups was progressive MM. Conclusion: In clinical practice, higher HCTCI score was associated with MEL dose reduction. Mortality after AHCT is predominantly related to MM progression/relapse with low incidence of TRM. Higher HCTCI scores were independently associated with inferior OS. KPS remains an important tool for risk stratification. Disclosures: No relevant conflicts of interest to declare.

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 731 Background: Treatment with bortezomib achieves high hematologic response rates and rapid and durable responses in AL patients (pts), providing the rationale for proteasome inhibition in this population. MLN9708 is an investigational, oral, potent, reversible, and specific 20S proteasome inhibitor (PI). In preclinical studies, MLN9708 has shown improved antitumor activity compared to bortezomib in a range of xenograft models. This phase 1 study (NCT01318902) assessed weekly doses of oral MLN9708 in pts with relapsed or refractory AL. Methods: Pts aged ≥18 years with relapsed or refractory AL after ≥1 prior therapy, cardiac biomarker stage I/II disease, and measurable major organ (heart/kidney) involvement, received increasing doses of oral MLN9708 (standard 3+3 dose escalation fixed doses of 4.0 and 5.5 mg), on days 1, 8, and 15 of 28-day cycles for up to 12 cycles. Pts with no major hematologic response (<PR) after 3 cycles received dexamethasone (dex; 40 mg, days 1–4). Two expansion cohorts of PI-naïve and PI-exposed pts were enrolled at the MTD. The primary objectives were to determine the safety, tolerability, and MTD. Secondary objectives included analysis of plasma pharmacokinetic (PK) and whole blood pharmacodynamic effects of MLN9708, and assessment of overall hematologic response rate, time to and duration of hematologic and organ response. Adverse events (AEs) were graded using NCI-CTCAE version 4.03. Blood samples were collected at multiple timepoints pre- and post-MLN9708 dosing for PK analysis during cycle 1. Hematologic response and amyloid-related organ assessments were performed according to standardized criteria. Results: At data cut-off (June 29, 2012) 16 pts had been enrolled and received ≥1 MLN9708 dose (safety population). The median age was 66.5 years (range 54–78) and 7 were male. Median number of prior therapies was 3 (range 1–7); 10 received prior transplant, 7 received prior bortezomib. Major organ involvement, defined by standard criteria, included heart, kidney, or both in 7/5/4 pts, respectively, with a median of 2 (range 1–5) involved organ systems, and Mayo cardiac biomarker risk stage was I, II, III in 6, 9, 1 pts. Five pts were treated in the 5.5 mg cohort and 11 pts were treated in the 4.0 mg (n=6 dose escalation; n=5 dose expansion) cohorts. Of the 11 pts treated at 4.0 mg, 4 were PI-naïve, 7 were PI-exposed. Pts received a median of 3 cycles (range 1–12); 5 pts received ≥5 cycles, and 8 pts remain on treatment. Dex was added in 4 pts (2 in each MLN9708 dose level). There were no on-study deaths. Pts discontinued due to disease progression (n=5), AE, withdrawal by pt, or unsatisfactory response (each n=1); 2 pts completed planned 1 year of therapy. One pt in the 4.0 mg cohort experienced a DLT of grade 3 thrombocytopenia. Two pts in the 5.5 mg dose cohort experienced DLTs: grade 3 diarrhea in 1 pt, and renal failure, respiratory failure (both grade 2), and cardiac arrest (grade 4) in another pt. The MTD was determined as 4.0 mg. AEs were reported in 14 pts. The most common drug-related AEs included nausea (n=5), diarrhea and thrombocytopenia (each n=4), abdominal pain and fatigue (each n=3). Grade ≥3 AEs (any cause) reported in >1 pt were thrombocytopenia (n=4), dyspnea (n=3), maculo-papular rash, dehydration, and abdominal pain (each n=2); all were grade 3. Preliminary response data are shown in the table. At data cut-off, one responder had progressed, and the median duration of hematologic response was 7.4 months (range 1.3–11.5+); 2 pts had cardiac organ response. Preliminary PK data showed that MLN9708 was rapidly absorbed, with a median Tmax of 1 hr (range 0.5–6). MLN9708 day 15 plasma Cmax was 73.6 ± 40.2 ng/mL (mean ± SD) and AUC0–168was 1250 ±530 ng*hr/mL (n=8 at 4.0 mg dose cohort). MLN9708 PK parameter values in this study appear similar to other MLN9708 studies in myeloma pts. Conclusions: These data suggest weekly oral administration of MLN9708 is feasible in pts with relapsed or refractory AL. The MLN9708 MTD was determined as 4.0 mg. Assessment is ongoing, with preliminary evidence of hematologic responses noted. A phase 3 study of MLN9708 plus dex versus physician's choice of treatment is planned (NCT01659658). Disclosures: Merlini: Millennium Pharmaceuticals, Inc.: Consultancy. Off Label Use: Use of the investigational agent MLN9708, an oral proteasome inhibitor, in the treatment of relapsed or refractory light-chain amyloidosis. Sanchorawala:Celgene: Research Funding; Millennium Pharmaceuticals, Inc.: Research Funding; Onyx: Research Funding. Zonder:Celgene: Research Funding; Millennium Pharmaceuticals, Inc: Consultancy, Research Funding. Kukreti:Roche: Consultancy, Honoraria; Celgene: Honoraria; Janssen: Honoraria. Schonland:Celgene: Honoraria, Research Funding; Janssen: Honoraria. Dispenzieri:Janssen Research & Development: Research Funding; Millennium Pharmaceuticals, Inc.: Research Funding; Celgene: Research Funding. Cohen:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Meyers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Onyx: Honoraria, Membership on an entity's Board of Directors or advisory committees. Berg:Millennium Pharmaceuticals, Inc.: Employment. Liu:Millennium Pharmaceuticals, Inc.: Employment. Di Bacco:Millennium Pharmaceuticals, Inc.: Employment. Gupta:Millennium Pharmaceuticals, Inc.: Employment. Hui:Millennium Pharmaceuticals, Inc.: Employment. Comenzo:Millennium Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.

Abstract Abstract 597 Back-ground: Planned upfront AHCT after initial induction improves both overall and progression free survival (OS and PFS) for patients with MM in randomized trials. However, it is unclear whether patients with less than partial response after a finite period of initial therapy should receive AHCT immediately or undergo salvage therapy to improve the level of response pre-AHCT. Methods: We addressed this question by querying the CIBMTR (Center for International Blood and Marrow Transplant Research) database. Between 1995 and 2010, 575 patients received upfront AHCT (within 12 mo of diagnosis) for MM after failing to achieve partial or complete response (PR/CR) to initial induction therapy. The 2326 patients who achieved CR/PR pre- AHCT had superior survival and were excluded (Fig 1). The study groups included: the 324 who received additional salvage chemotherapy after non-response to first line therapy (SALVAGE) and then proceeded to AHCT; and 251 who had no additional salvage chemotherapy but proceeded to AHCT immediately (NOSALVAGE). Outcomes of non-relapse mortality (NRM), relapse, PFS, and OS were compared measuring overall survival from diagnosis. Multivariate analysis using Cox proportional hazard models incorporated the following variables: age, gender, Karnofsky performance score, immunoglobulin isotype, stage, serum creatinine at diagnosis, disease status pre-AHCT, conditioning regimen, time from diagnosis to transplant, type of transplant (single/tandem), novel agents (thalidomide/bortezomib/lenalidomide), time-period of transplant and number of lines of pre-transplant therapy (= or &gt; 1 line) on outcomes. Results: Study cohorts were well balanced with respect to age, gender, Karnofsky performance status, immunoglobulin isotype, disease stage. More pts in NOSALVAGE received VAD (60% vs. 47%, p=0.002) for first line therapy and had a base-line creatinine &gt; 1.5mg/dl (27% vs. 17%, p=0.008). In the SALVAGE cohort, 245 (75%) received one, 65 (20%) two and 14 (4%) three salvage regimens. 197/245(61%), 47/65(59%), 2/14 (14%) were sensitive to 1st, 2nd and 3rd line salvage therapies prior to transplant resulting in 55% in SALVAGE achieving CR/PR pre-AHCT. In NOSALVAGE, 93% were in a minimal response or stable disease state and 7% with progressive disease. In SALVAGE, 55% received AHCT after 2004 compared with 38% in NOSALVAGE likely reflecting additional agents available for salvage. The majority of patients in either cohort (&gt;90%) received Melphalan based AHCT and a minority (&lt;20%) planned tandem AHCT. In the SALVAGE cohort, 44% had AHCT &lt;8 months after diagnosis as compared to 74% in NOSALVAGE (P&lt;0.001). Median follow-up for survivors was 61 mo and 68 mo, respectively. Six year NRM (p=1.0), relapse (p=0.2), PFS (p=0.2) or OS (p=0.5) were no different between the two cohorts). On multivariate analysis, a higher creatinine at diagnosis (&gt; 1.5 vs &lt; 1.5) predicted for higher NRM (p=0.008) and inferior OS (p=0.003), and the use of novel agents predicted for lower risk of NRM (HR = 0.37, P=0.04). Since more time elapsed between diagnosis and transplant among patients who received additional salvage chemotherapy, a left-truncated multivariate analysis was performed to reduce this potential waiting time bias. This multivariate analysis produced similar outcomes for TRM, relapse, treatment failure and OS irrespective of whether or not salvage regimens were used (Fig 2). Conclusions: In the setting of upfront AHCT, no additional benefit could be demonstrated for salvage regimens to upgrade response prior to AHCT. Disclosures: No relevant conflicts of interest to declare.

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.