Kumar, Shaji

Abstract Background: Among patients with immunoglobulin light chain (AL) amyloidosis, there is little consensus on when reinstitution of chemotherapy should occur (Milani and Dispenzieri, International Society of Amyloidosis 2016). AL amyloidosis patients who are treated with high dose chemotherapy followed by autologous stem cell transplant (ASCT) are a relatively low-risk and homogenous population, making them an ideal group to study practice patterns. Methods: We conducted a retrospective study to evaluate the patterns of relapse or progression and the timing of re-initiation of therapy among 146 patients who were initially treated with ASCT at Mayo Clinic between 1996 and 2009 and who received second-line therapy between 7/9/1997 and 4/12/2012. Results: The median time from ASCT to second-line therapy was 23.6 months and the median follow up post ASCT was 57.5 months. The indications for second-line treatment were: 1) both hematologic and organ progression 24.7% (36 patients); 2) organ progression only 41.1% (60); 3) hematologic relapse only 34.2% (50). The median dFLC at the time of starting second-line therapy was 10.5 mg/dL (1.6 - 59.5 mg/dL), which was 44.9% (13.8-167.2%) of dFLC level at diagnosis. Increase in proteinuria by > 50% from nadir (that was also at least 1g/24 hours, i.e. renal progression) was present in 35.8%. Increase in NT proBNP by >30% from nadir and minimum of 300 pg/mL was present in 48.9% of patients. The respective 4 years overall survival rates from the time of ASCT were 87.8%, 63.9%, and 56.7% (p=0.0016) for patients who had hematologic relapse, organ progression only and both organ and hematologic progression. Comparisons of laboratory markers at diagnosis, nadir of post ASCT and initiation of second-line therapy are listed in the table. Conclusions: Our study investigated the patterns of relapse / progression following upfront ASCT. This provides some insights on practice patterns of when physicians re-initiate therapy. Table Table. Disclosures Gertz: NCI Frederick: Honoraria; Celgene: Honoraria; Med Learning Group: Honoraria, Speakers Bureau; Research to Practice: Honoraria, Speakers Bureau; Novartis: Research Funding; Prothena Therapeutics: Research Funding; GSK: Honoraria; Sandoz Inc: Honoraria; Ionis: Research Funding; Alnylam Pharmaceuticals: Research Funding; Annexon Biosciences: Research Funding. Kumar:Millennium: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; AbbVie: Research Funding; Glycomimetics: Consultancy; Janssen: Consultancy, Research Funding; BMS: Consultancy; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Onyx: Consultancy, Research Funding; Kesios: Consultancy. Kapoor:Celgene: Research Funding; Amgen: Research Funding; Takeda: Research Funding. Dispenzieri:Prothena: Membership on an entity's Board of Directors or advisory committees; Alnylam: Research Funding; Celgene: Research Funding; Jannsen: Research Funding; pfizer: Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Abstract Abstract 2948 Background: Deletions and mutations in the tumor suppressor protein p53 are an uncommon observation in new multiple myeloma (MM) patients and are observed more commonly in patients with advanced disease. p53 deletion has been observed to correlate with poor overall and progression free survival in MM patients. Wild type p53 modulates the expression levels of a broad array of proteins involved in cell cycle progression, apoptosis ultimately leading to cell cycle arrest and apoptosis. p53 is negatively regulated by MDM2. MDM2 binds to and ubiquitinates p53 marking it for proteasomal degradation. In addition, MDM2 is a direct downstream regulator of p53. Targeting the p53-MDM2 interaction by developing agents that bind to the p53 binding motif of MDM2 and reactivating p53 has therefore been an active area of research. Here, we present results from our pre-clinical studies using AT219, a small molecule inhibitor that binds to MDM2 preventing its interaction with p53. Methods: AT219 was obtained from Ascenta Therapeutics. Stock solutions were made using DMSO and working stock solutions were made using RPMI 1640 media containing 10% fetal bovine serum (20% serum for primary patient cells) supplemented with L-Glutamine, penicillin, and streptomycin. Akt1/2 kinase inhibitor (Akti) was purchased from Sigma. MTT assay was performed to study drug induced cytotoxicity and thymidine uptake was used as a measure to study differences in proliferation. Flow cytometry using Annexin V-FITC and propidium iodide (PI) was used to measure drug induced apoptosis in cell lines and patient cells. In addition, apo-2.7 was also used to measure apoptosis in patient cells. Mitocapture and cytochrome-c assays were also performed to confirm the induction of apoptosis in MM cell lines. In order to study the mechanism of action of the drug, immunoblotting studies were performed on lysates made from cell lines incubated with the drug for various time points. Results: AT219 induced potent cytotoxicity in MM cell lines MM1S, MM1R and H929, all three expressing wild type p53 with IC50 values of 2.5–5μM. Similar effects were observed when the above mentioned cell lines were treated with AT219 and the inhibitory effect of proliferation of these cells were examined. When MM1S or H929 cells were cultured with bone marrow stromal cells (BMSCs) derived from MM patients or with one of the three tumor promoting cytokines implicated in MM (IL6, IGF or VEGF) and treated with AT219, the drug was able to inhibit the proliferation of both cell lines to similar extents as observed when cultured independently without BMSCs or the cytokines. The increase in cytotoxicity was found to be due to cells undergoing apoptosis as observed when MM1S or H929 cells were cultured with AT219 and % apoptotic cells were measured as measured by annexin/PI, mitocapture and cytochrome c assays. AT219 was also observed to induce more potent apoptosis in primary cells obtained from new MM patients with wild type p53 than in cells obtained from relapsed MM patients with wild type p53. AT219 clearly upregulated p53 as observed by performing immunoblots after treatment with the drug in MM1S and H929 cells. In addition, MDM2 and p21 were also found to be significantly upregulated and Bax was slightly upregulated post drug treatment. Bcl2, Mcl1 and Xiap levels were down regulated. In MM1S cells AT219 treatment resulted in a slight down regulation of pAkt (Ser 473). However, in H929 cells we observed a transient upregulation of pAkt following AT219 treatment. This prompted us to test AT219 in combination with Akti on MM cell lines. Our results on both MM1S and H929 cells using AT219 in combination with Akti demonstrated synergy. We are currently testing this combination in primary cells drawn from MM patients with both wild type p53 and those with p53 deletions and mutations. Conclusions: Our studies validate the anti-MM activity of AT219 in MM patients with wild type p53. In addition to using AT219 in combination with Akti, we are testing AT219 in combination with existing anti- MM chemotherapeutic agents. Interesting results from our studies will form the basis for clinical evaluation of AT219 as a single agent or in combination with an Akt inhibitor or other agents in MM patients. Disclosures: Kumar: Celgene: Consultancy, Research Funding; Merck: Consultancy, Honoraria; Millennium Pharmaceuticals, Inc.: Research Funding; Novartis: Research Funding; Genzyme: Research Funding; Cephalon: Research Funding.

Abstract Introduction High dose chemotherapy and autologous stem cell transplantation (ASCT) is an effective therapy for eligible patients with newly diagnosed systemic AL amyloidosis. Dose attenuated melphalan is used in patients with older age, renal dysfunction, and multi-organ involvement in an effort to limit treatment related mortality. Reducing the dose of melphalan compromises response rates and survival outcomes, but this is often contributed to frailty of these patients. The revised Mayo staging (MS) system improves risk stratification and helps develop risk-adapted therapies. We analyzed the outcomes of ASCT following standard [(200 mg/m2); SD group] versus risk adapted [(140-160 mg/m2); RD group] melphalan conditioning, in the context of the factors typically leading to dose modification. Methods Three hundred and twenty nine patients with newly diagnosed systemic AL amyloidosis who underwent conditioning with melphalan followed by ASCT at Mayo Clinic between 2006 and 2015 were identified using existing databases. The clinical and laboratory data, treatment and follow - up details were collected by chart review and analyzed retrospectively. Overall survival(OS) was defined as the time from start of initial therapy until death from any cause or last follow up. Progression free survival(PFS) was defined as the time to relapse or progression requiring change or reinstitution of treatment or death from any cause. The OS and PFS curves were estimated using Kaplan-Meier method while log rank test was used to estimate their difference. Multivariate survival analysis was performed using the Cox proportional hazards model. Results Among the 329 patients, 240 patients were in SD group and 89 patients were in RD group (1 patient received 120 mg/ m2, 2 received 160 mg/m2 and the rest received 140 mg / m2). In the SD group, median age was 58.5 years (25.6 - 72.3); 59.6% were males; 38.7% / 61.7 %/ 7.5% had cardiac / renal /hepatic involvement; and 47.1% / 35.7% / 8.8% / 8.4% had MS I/II/III/IV. In the RD group, median age was 60.8 years (40 - 73.7); 62.9% were males; 66.3% / 71.9 %/ 11.2% had cardiac / renal /hepatic involvement; and 26.2% / 32.5% / 21.2% / 20% had MS I/II/III/IV. The response rates for patients in the SD group [complete response (CR) - 53.7%, very good partial response (VGPR) - 19.6%, partial response (PR) - 12.5%, no response (NR) - 1.2%, progressive disease (PD) - 1.6%] were significantly higher than patients in the RD group (CR - 34.8%, VGPR - 20.2%, PR - 15.7%, NR - 10.1%, PD - 1.1%) (85.8 vs 70.7%; p < 0.002). The PFS and OS for both the groups according to Mayo stage are presented in Figure 1. Multivariate survival analysis for PFS and OS was performed using age (≤ vs > 70 years), serum creatinine (≤ vs > 2 mg/dL), number of major organs involved (heart, kidney, liver, gastrointestinal tract and autonomic neuropathy), MS (1 vs 2 vs 3 and 4) and dose of melphalan (SD vs RD). The dose of melphalan (p=0.0002), MS (p=0.03) and the number of organs involved (p=0.04) were significant for PFS while the dose of melphalan (p=0.0001) and the MS (p = 0.004) were significant for OS. Conclusion Reducing the dose of melphalan during conditioning for frontline ASCT in systemic AL amyloidosis renders more patients eligible for transplant but compromises on the response rates. There is no impact on PFS and OS in Mayo stage I patients. However the OS as well as PFS in Mayo stage II, III and IV were significantly lower in RD group as compared to SD group. These results suggest a suboptimal outcome with use of reduced dose melphalan, even after accounting for the pother prognostic factors, suggesting that high dose therapy should potentially be limited to those eligible to receive the full dose conditioning. Disclosures Dispenzieri: Jannsen: Research Funding; pfizer: Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; Alnylam: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding. Kapoor:Takeda: Research Funding; Amgen: Research Funding; Celgene: Research Funding. Kumar:Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Research Funding; BMS: Consultancy; AbbVie: Research Funding; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Glycomimetics: Consultancy; Kesios: Consultancy; Noxxon Pharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding.

Abstract Background . Cell-free DNA (cfDNA) sequencing enables serial temporal sampling, which offers the possibility of following the dynamics of biomarkers and clonal evolution in Multiple Myeloma (MM) over time. The use of cfDNA in clinical practice as a molecular biomarker and for monitoring response/resistance is dependent on a comprehensive profile of matched cfDNA and tumor DNA (tDNA) samples. Here we performed Ultra-Low Pass Whole Genome Sequencing (ULP-WGS) followed by whole-exome sequencing (WES) and targeted deep sequencing of matched cfDNA/tDNA samples from MM patients. Methods. We performed next generation sequencing of matched cfDNA/tDNA samples for 63 patients with newly diagnosed or relapsed MM, SMM, or MGUS. Libraries were constructed using the Kappa Hyper kit and sequenced by ultra-low-pass whole-genome sequencing (ULP-WGS, 0.1x coverage) to quantify tumor fraction within cfDNA. WES was performed on 30 matched samples cfDNA/tDNA/germline DNA from 10 patients with more than 5% of tumor fraction. Libraries were hybridized to the Nextera Rapid Capture Exome kit (Illumina) and then sequenced on HiSeq 4000 (Illumina). Targeted deep sequencing was performed on 32 matched cfDNA/tDNA samples from 16 patients using the HaloPlex HS technology (Agilent), allowing for molecular barcoding. Libraries were constructed according to the manufacturer's instructions and sequenced on HiSeq 2500 (Illumina). Sequencing data were analyzed using the Firehose pipelines, including MuTect, ABSOLUTE, ReCapSeg, GISTIC and MutSig. Results. We first used a cost-effective approach to establish the tumor content of cfDNA in a large-scale manner by ULP-WGS. Among 63 tested samples (53 MM, 6 SMM and 4 MGUS patient samples), the tumor fraction within cfDNA ranged from 0 to 81% with a mean of 10%. About 43% of these samples had tumor fraction greater than 5% within cfDNA. To assess whether cfDNA can capture the genetic diversity of MM and inform clinical management, we performed WES of matched cfDNA/tDNA/germline DNA samples for 10 patients (mean target coverage 194x). Copy number alterations (CNAs) assessed by WES (ReCapSeg) were consistent between cfDNA and tumor DNA. Similarly, focal CNAs assessed by GISTIC were consistent between tDNA and cfDNA. We then examined the overlap of somatic single nucleotide variants (SSNVs) between WES of cfDNA and matched tDNA. We found, on average, 100% of the clonal and 96% of the subclonal (range 54-100%) SSNVs that were detected in the tumor were confirmed to be present in cfDNA. Similarly, for mutations detected in the cfDNA, we found, on average, 100% of the clonal and 99% of the subclonal (range 98-100%) SSNVs were confirmed in the tumor. To assess whether targeted deep sequencing of cfDNA could be a good proxy for tumor biopsy we used a targeted deep sequencing approach of known MM driver genes. Libraries were prepared using unique molecular barcodes to avoid duplication rates, for 32 matched cfDNA/tDNA samples from 16 patients with MM. The mean target coverage was 596x. We found similar frequencies of altered MM driver genes in both cfDNA and tDNA, including KRAS, NRAS, and TP53, indicating that cfDNA can be used for precision medicine. Conclusions. Our study demonstrates that both WES and targeted deep sequencing of cfDNA are consistently representative of tumor DNA alterations in terms of CNAs, focal CNAs and SSNVs. This approach could therefore be used to longitudinally follow clonal evolution across the course of the disease and precision medicine in patients with MM. Disclosures Palumbo: Takeda: Employment, Honoraria; Janssen Cilag: Honoraria. Kumar:Noxxon Pharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy; BMS: Consultancy; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; AbbVie: Research Funding; Onyx: Consultancy, Research Funding. Roccaro:Takeda Pharmaceutical Company Limited: Honoraria. Facon:Amgen: Consultancy, Speakers Bureau; Novartis: Consultancy; Janssen: Consultancy, Speakers Bureau; Bristol: Consultancy; Millenium/Takeda: Consultancy; Celgene: Consultancy, Speakers Bureau; Karyopharm: Consultancy. Ghobrial:Celgene: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Noxxon: Honoraria; Novartis: Honoraria; Takeda: Honoraria; Amgen: Honoraria.

Abstract Introduction Immunoglobulin light chain amyloidosis (AL Amyloidosis) is a monoclonal plasma cell proliferative disorder that is characterized by tissue deposits of misfolded insoluble κ or λ light chain derived amyloid fibrils, leading to organ dysfunction. The prognosis of patients depends on the number and severity of organ involvement, especially cardiac involvement. Autologous stem cell transplant (ASCT), if eligible, alkylator (melphalan) and novel drugs like proteasome inhibitors (PI) and immunomodulators (IMiD) have improved the overall survival (OS) during the past decades. But still, nearly half of the patients die within a year of diagnosis. We analyzed the factors predicting early relapse / progression or death (within 12 months) after first line therapy for systemic AL amyloidosis. Methods Clinical and laboratory data of all consecutive patients with systemic AL amyloidosis seen at Mayo Clinic within 90 days of their diagnosis, between 2006 and 2015, was collected by chart review and analyzed retrospectively. Patients who died within 3 months of starting the first line treatment were excluded from analysis. Early relapse (ER) was defined as relapse / progression requiring treatment change / re-institution or death within 12 months of starting first line treatment. Patients in the cohort with ER were compared with patients with a follow up of more than 12 months who had a relapse / progression beyond 12 months or had continuing response at the time of analysis. Categorical variables were analyzed using chi - square and Fisher's exact test and continuous variables using Kruskal- Wallis test and Wilcoxon rank sum test. Multivariate analysis was done using logistic regression model. Results Seven hundred and eighty six patients with newly diagnosed systemic AL amyloidosis met the study criteria and were included in the analysis. Among these, 230 (29.3%) patients had ER within 12 months of starting initial therapy while 556 (70.7%) patients either relapsed after 1 year or had continuing response at the time of analysis. Baseline demographics, organ involvement and type of first line therapy are presented in Table1. The median estimated follow up for the entire cohort from start of initial therapy was 62.9 months (95% CI; 59.9, 67.3). The variables included in the univariate and multivariate analyses for factors predicting ER were age at diagnosis (≤ vs > 70 years ), revised mayo stage (I and II vs III and IV), bone marrow plasma cell percentage (BMPC; ≤ 10% vs > 10%), presence of any chromosomal abnormalities, trisomies or IgH translocations by fluorescence in situ hybridization (FISH), multiorgan involvement [(>1 vs 1) (heart, liver, kidney, gastrointestinal tract, autonomic neuropathy), incorporation of ASCT in initial therapy. In univariate analysis, mayo stage (p<0.0001), multiorgan involvement (p=0.0008) and inclusion of ASCT as part of initial therapy (p<0.0001) were significantly associated with ER, while age (p=0.06), BMPC(p=0.9), FISH abnormalities (p=0.2) were not. However, in multivariate analysis, only mayo stage (III + IV vs I + II; p=0.01) and non-inclusion of ASCT in first line treatment (p=0.0001) were significantly predictive of ER. Conclusions Despite the introduction of ASCT and novel drugs, the early mortality in systemic AL amyloidosis remains high. This study demonstrates that patients with ER are older with higher prevalence of cardiac involvement and multiorgan involvement and higher Mayo stage (III and IV). Incorporation of ASCT as part of the initial therapy was associated with reduced early relapse, but it is difficult to separate the influence of the eligibility for ASCT from the effect of ASCT itself. This will help us in characterizing these patients to better understand their mechanisms of resistance to therapy and gives an insight to the type of initial therapy that benefits them. Disclosures Dispenzieri: GSK: Membership on an entity's Board of Directors or advisory committees; Jannsen: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Alnylam: Research Funding; pfizer: Research Funding. Kapoor:Takeda: Research Funding; Amgen: Research Funding; Celgene: Research Funding. Kumar:Celgene: Consultancy, Research Funding; Kesios: Consultancy; BMS: Consultancy; Sanofi: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Glycomimetics: Consultancy; Millennium: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; AbbVie: Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Research Funding.

Abstract Introduction Immunoglobulin light chain amyloidosis (AL Amyloidosis) is a plasma cell disorder characterized by deposition of misfolded insoluble protein fibrils (composed of monoclonal κ or λ light chains) in tissues causing progressive organ dysfunction. Chemotherapy and autologous stem cell transplant (ASCT), when eligible, are standard treatment options but relapses remain inevitable for most patients. However, there is a paucity of literature describing relapsed or refractory patients. We performed a retrospective study to analyze the outcomes upon relapse and the impact of type of therapy and retreatment with the same therapy at relapse. Methods Clinical and laboratory data of 1327 consecutive patients with systemic AL amyloidosis seen at Mayo Clinic within 90 days of their diagnosis, between 2006 and 2015, was collected by chart review and analyzed retrospectively. Of these patients, 219 (16.5%) were lost to follow-up. Among the remaining 1108 patients, 366 patients experienced a documented hematological or organ relapse or progression requiring change of first line or start of second line therapy and form the current study population. Overall survival (OS) was calculated from start of second line treatment or progression mandating therapy until death from any cause or the date of last follow up. The OS was estimated using the Kaplan-Meier method and log rank test was used to estimate the difference in survival curves. Results The median age was 62.8 years (36.1 - 85.3); 63.1% were males; 64.7% / 59.3% / 11.4% had cardiac / renal / hepatic involvement and 24.2% / 32.1% / 23.3% / 20.3% had MS I/II/III/IV. The median estimated follow up for this cohort was 69.4 months (95% CI; 64.4, 76.8) from the start of first line therapy and 45.2 months (95% CI; 36.5, 50.6) from the start of second line therapy or progression requiring treatment. The median time to second line treatment or relapse /progression mandating therapy was 16.2 months (1-93) from the start of first line therapy. At relapse, 14 patients underwent ASCT, 165 were treated with proteasome inhibitor (PI) based therapy, 83 with immunomodulator (IMiD) based therapy, 33 with alkylator based therapy, 15 with a combination of PI and IMiD, 10 with steroids, 8 with other therapies and 38 did not receive treatment. Among the 366 patients, 124 (33.9%) required change or reinstitution of therapy during follow up at the time of analysis. The median time to third line treatment or relapse /progression mandating therapy was 31 months (95% CI; 24, 40.5) from the start of second line treatment. The median overall survival (OS) was 76.4 months (95% CI; 65.2, 83.6) from the start of first line therapy and 38.8 months (95% CI; 29.6, 52.6) from the start of second line therapy. The type of therapy at relapse (ASCT vs PI vs IMiD vs melphalan vs steroids and others) did not alter the time to next therapy (ASCT, 43.1m; PI, 31m; IMiD, 37m; melphalan, 20.8m; steroids and others, 20m; p=0.3) and OS (ASCT, 66.9m; PI, 51.1m; IMiD, 51.3m; melphalan, 37.2m; steroids and others, 80.7m; p=0.9) from the start of the second line treatment; as depicted in Figure 1. Retreatment with a different drug class (as the first line treatment) at relapse significantly reduced the time to next treatment (32.3m vs 22 m; p= 0.01) as compared to same therapy; but did not have any impact on survival (30.8m vs 51.1m; p = 0.5); as presented in Figure 2. Conclusion This study provides novel information about outcomes of patients with systemic AL amyloidosis who relapse or progress after first line therapy which could be useful in planning salvage therapies and designing clinical trials. Retreatment with a different therapy at relapse improves time to next therapy but does not impact OS. Hence, we conclude that the patients can fare well post relapse/ progression and can benefit from various treatment regimens including retreatment with the same agent. Disclosures Dispenzieri: 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; Prothena: Membership on an entity's Board of Directors or advisory committees; Jannsen: Research Funding; pfizer: Research Funding; Alnylam: Research Funding; Celgene: Research Funding. Kapoor:Amgen: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Kumar:BMS: Consultancy; Kesios: Consultancy; Glycomimetics: Consultancy; Onyx: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; AbbVie: Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding.

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 Ixazomib, the first oral proteasome inhibitor, is approved by the US FDA, in combination with Rd, for the treatment of MM patients (pts) who have received at least 1 prior therapy. Approval was based on the double-blind, placebo-controlled phase 3 TOURMALINE-MM1 study (NCT01564537) in 722 pts with RRMM (Moreau et al, N Engl J Med 2016), in which IRd showed superior PFS versus placebo-Rd (HR 0.74) at the final prespecified analysis, with limited additional toxicity. Prespecified subgroup analyses showed a consistent PFS benefit with IRd, but with a differential treatment effect according to prior therapy exposure. An exploratory study objective was to evaluate potential relationships between treatment outcomes and tumor gene expression patterns. c-MYC is a proto-oncogene that encodes a transcription factor regulating cell proliferation, growth, protein translation, metabolism, and apoptosis, and increased c-MYC expression is involved in MM pathogenesis/progression. We analyzed the impact of c-MYC expression on PFS in RRMM pts treated with IRd or placebo-Rd. Methods Pts with RRMM after 1-3 prior lines of therapy were randomized 1:1 to receive oral ixazomib or placebo, plus lenalidomide and dexamethasone, until disease progression or unacceptable toxicity. Randomization was stratified by number of prior therapies (1 vs 2-3), proteasome inhibitor exposure, and ISS disease stage. The primary endpoint was PFS by independent review committee assessment. Data reported here are from the final prespecified statistical analysis of PFS (median follow-up ~15 months). Bone marrow aspirate samples were collected at screening for tumor gene expression analysis. Whole transcriptome sequencing (RNAseq) of bone marrow-sorted CD138+ cells was performed using the Illumina Truseq protocol on the Illumina HiSeq platform; this generated a median of 50 million paired-end reads (100 bp length) per sample. c-MYC expression was evaluated by treatment arm and according to number of prior therapies (1 vs 2-3). PFS was analyzed in subgroups dichotomized according to median c-MYC expression (c-MYC-high/c-MYC-low). Results RNAseq data were available for 59% (427/722) of enrolled pts; 213 (50%) had high and 219 (50%) had low c-MYC expression (dichotomized according to the median). Impact of c-MYC expression (high vs low) on PFS, irrespective of treatment arm, was not significant (p=0.98). However, a significant treatment effect of IRd vs placebo-Rd was only seen in pts with high c-MYC expression (interaction p=0.024); in these pts (IRd: n=109; placebo-Rd: n=104) a significant PFS benefit was seen with IRd (HR 0.41; 95% CI: 0.26-0.65, p=0.00011). Impact of c-MYC expression was then analyzed by number of prior therapies. In the overall TOURMALINE-MM1 population, per stratification, 212/213 pts in the IRd/placebo-Rd arms had 1 prior therapy, and 148/149 had 2-3 prior therapies. After median follow-up of ~15 months, median PFS in pts with 1 prior therapy was 20.6 vs 16.6 months with IRd vs placebo-Rd (HR 0.88; 95% CI: 0.65-1.20), and in pts with 2-3 prior therapies was not reached vs 12.9 months (HR 0.58; 95% CI: 0.40-0.84, p=0.0033). The level of c-MYC expression was shown to be significantly higher in pts with 2-3 prior therapies vs 1 prior therapy, with median expression of 6.94 (SD=1.71, n=177) vs 6.52 (SD=1.74, n=250) (log2 scale), t-test p-value 0.0153. In pts with 1 prior therapy, no differences in PFS were observed between pts with low c-MYC expression (HR 1; 95% CI: 0.59-1.8, p=0.934), while a prolonged PFS benefit was observed in pts with high c-MYC expression (HR 0.48; 95% CI: 0.26-0.88, p=0.0146) (Figure, A and B). In pts with 2-3 prior therapies, both the c-MYC-high and c-MYC-low pts showed improved PFS with IRd vs placebo-Rd; the difference in PFS was statistically significant only in c-MYC-high pts (HR 0.36; 95% CI: 0.18-0.72, p=0.00269) (Figure, C and D). Conclusions In TOURMALINE-MM1, c-MYC expression was higher in MM tumor samples from pts with 2-3 vs 1 prior therapies. The IRd regimen was active in c-MYC-high and c-MYC-low pts, but its impact on PFS vs placebo-Rd was greater in c-MYC-high pts, thus providing a potential explanation for the enhanced PFS benefit with IRd vs placebo-Rd in pts with 2-3 prior therapies. The PFS benefit with IRd in c-MYC-low pts with 2-3 prior lines suggests that, in advanced MM, further genomic alterations may also be contributing to ixazomib sensitivity. Disclosures Di Bacco: Millennium Pharmaceuticals Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Bahlis:BMS: Honoraria; Onyx: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau. Avet-Loiseau:Takeda: Speakers Bureau; Janssen: Speakers Bureau; Celgene: Speakers Bureau; Sanofi: Speakers Bureau. Masszi:Janssen-Cilag: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees. Ganly:Medipics: Equity Ownership; Novartis: Honoraria; Roche: Honoraria. Cavo:Bristol-Myers Squibb: Consultancy, Honoraria; Millennium: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen-Cilag: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Langer:Celgene: Consultancy; Takeda: Consultancy; Janssen: Consultancy; Amgen: Consultancy; Novartis: Consultancy. Kumar:Array BioPharma: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; AbbVie: Research Funding; Onyx: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Glycomimetics: Consultancy; Kesios: Consultancy; BMS: Consultancy; Millennium: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding. Berg:Millennium Pharmaceuticals Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Lin:Millennium Pharmaceuticals Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Li:Millennium Pharmaceuticals Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Badola:Millennium Pharmaceuticals Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Shen:Millennium Pharmaceuticals Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Zhang:Millennium Pharmaceuticals Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Wang:Millennium Pharmaceuticals Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Esseltine:Takeda: Equity Ownership; Millennium Pharmaceuticals Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment; Johnson and Johnson: Equity Ownership. Luptakova:Takeda Oncology: Employment. van de Velde:Millennium Pharmaceuticals Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Richardson:Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees. Moreau:Bristol-Myers Squibb: Honoraria; Takeda: Honoraria; Celgene: Honoraria; Janssen: Honoraria, Speakers Bureau; Novartis: Honoraria; Amgen: Honoraria.

Abstract Background In 2015, the FDA approved 5 new agents and/or combination regimens for the treatment of patients with relapsed/refractory (R/R) MM. In addition, new clinical data support using new regimens in the first-line setting. This rapid expansion of available treatment options has greatly increased the complexity of treatment decisions for patients in this disease setting. Clinical practice guidelines list multiple preferred treatment options for MM and can be challenging to apply to specific patients with a mixture of presenting features. Since 2013, we have developed and updated an MM online decision support tool designed to provide clinicians with expert guidance on optimal treatment for defined patient scenarios. An analysis of the tool over the years has shown that experts rapidly integrate new data and available agents into practice whereas many tool users do not. Here we report data from the most recent version (2016) of this tool, capturing the impact of the rapid expansion of new therapies on expert treatment recommendations. Methods In June 2016, a panel of 5 experts provided treatment recommendations for 688 case scenarios across 3 settings: induction, maintenance, and R/R disease. These distinct scenarios were defined by key patient and disease characteristics that the experts considered important when making treatment choices, including: eligibility for autologous stem cell transplantation, results of chromosome analysis (cytogenetics/FISH), ECOG performance status, previous therapy and response, and preexisting comorbidities. To use the tool, these patient and disease factors and the intended treatment for that specific patient were entered through drop-down menus to display the expert choices for that case. Users were then asked to indicate the impact of the expert recommendations on planned treatment. Results We compared expert recommendations from the 2 most recent versions of our MM tool, compiled in March 2015 and June 2016, to assess the impact of the new data and FDA approvals on treatment patterns. The experts are generally not recommending these agents as induction or maintenance therapy. Three out of 5 experts recommended carfilzomib/lenalidomide/dexamethasone as induction therapy for preexisting peripheral neuropathy (PN) and 1 expert recommended ixazomib-based regimens as induction and maintenance therapy for patients with high-risk cytogenetics and both renal insufficiency and PN. The new agents did have a substantial impact on expert recommendation in the R/R setting. In the 2016 tool, the type of previous therapy was the primary factor affecting expert selections, whereas the number of previous lines of therapy (1-3 vs >3) had minimal impact in the R/R setting. For example, in patients refractory to previous proteasome inhibitor (PI) therapy, regimens containing either elotuzumab (30%) or daratumumab (25%) were selected frequently by experts with pomalidomide-containing regimens recommended in another 40% of these specific cases. In the 2016 tool, the use of lenalidomide/dexamethasone alone without a newly approved agent was not recommended by any expert in the R/R setting, although it had been recommended by experts in 25% of R/R case scenarios in the 2015 tool. For patient scenarios refractory to previous immunomodulatory drugs and PIs, the experts recommended daratumumab-based regimens in 67.5% of the cases in the 2016 tool whereas the use of carfilzomib/pomalidomide/dexamethasone fell from 45% in 2015 to 10% of the cases in 2016. None of the experts recommended regimens with panobinostat as their preferred choice in any patient scenario in either 2015 or 2016. Conclusions Expert opinions regarding optimal MM therapy continue to evolve with new evidence and FDA approvals. Our data show that newly approved therapies are having a large impact on expert recommendations for specific case scenarios in the relapsed/refractory MM setting. A detailed and updated analysis of expert and user data that captures practice trends in this rapidly evolving environment will be presented. Disclosures Kumar: Kesios: Consultancy; Array BioPharma: Consultancy, Research Funding; AbbVie: Research Funding; Onyx: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; BMS: Consultancy; Glycomimetics: Consultancy; Janssen: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding. Lentzsch:Celgene: Consultancy, Honoraria; BMS: Consultancy. Lonial:Merck: Consultancy; Novartis: Consultancy; Millenium: Consultancy; Celgene: Consultancy; Onyx: Consultancy; Janssen: Consultancy; Onyx: Consultancy; BMS: Consultancy; Novartis: Consultancy; Janssen: Consultancy; Celgene: Consultancy; BMS: Consultancy. Roodman:Amgen: Consultancy. Anderson:Oncopep: Other: Scientific Founder; Acetylon: Other: Scientific Founder; Sonofi Aventis: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees.

Abstract Background: The presence of circulating plasma cells (CPCs) is associated with an adverse prognosis in multiple myeloma along the entire spectrum of disease. However, the impact of CPCs prior to autologous stem cell transplantation (ASCT) has not been defined in the era of novel agents. The objective of this study is to assess the impact of the presence and number of CPCs before transplant using 6-color multiparameter flow cytometry (MFC). We also explored the additional prognostic implications of CPCs over the current paradigm for risk stratification at transplant, including high-risk (HR) cytogenetics and disease status at transplant by the IMWG criteria. Methods: A total of 1113 consecutive patients transplanted between 2007 and 2015 in Mayo Clinic were included in the study. Flow-cytometry of peripheral blood to identify clonal CPCs is routinely performed in all patients before ASCT in Mayo Clinic, Rochester. The mononuclear cells from peripheral blood samples are isolated by Ficoll gradient and subsequently stained with antibodies to CD19, CD38, CD45, CD138 and cytoplasmic kappa (κ) and lambda (λ) immunoglobulin light chains. Clonality is assessed by light chain restriction (κ:λ expression ratio of 4:1 [κ restricted] or <1:2 [λ restricted]). The target for collection is >150,000 cellular events. For samples where less than 150,000 clonal events are examined, the number of final clonal events is adjusted to 150,000 events. HR cytogenetics by fluorescence in situ hybridization (FISH) on bone marrow (BM) plasma cells was defined by one of the following abnormalities: t(4;14), del(17p), t(14;16), t(14;20) or +1q, detected at any time point from diagnosis to transplant. Patients who had insufficient plasma cells for FISH analysis in BM specimens were not included in the denominator to calculate the percentage of patients with HR cytogenetics. The primary end-points of this study were post-transplant response, PFS and OS. Result: CPCs were detected in 238 out of 1113 (21.4%) patients, with the median number of CPCs being 82 (range, 1-102381) per 150,000 events. The median age of patients at transplant was 62 years. A total of 1097 (99%) patients had received novel agent based induction therapy with PIs and IMiDs, including 458 (41%) patients who had received both PIs and IMiDs. 401 (36%) patients had received post-transplant maintenance or consolidation therapy. The frequency of t(4;14) in BMPCs was significantly higher in patients with CPCs compared to those without [15.2 vs 7.0% for t(4;14); P<0.001]. The median follow-up from transplant for survivors was 45 months. The 5-year OS rate in patients with and without CPCs was 34% (95% CI, 27-42) and 70% (95% CI, 66-74) respectively (P<0.001). After exploring several cut-offs for the number of CPCs per 150,000 events, we chose a simple pre-transplant risk stratification model: No CPCs (n=874; 78.5%), 0<CPCs≤400 (n=188; 16.9%) and CPCs>400 (n=51; 4.6%). The number of patients achieving stringent complete response post-transplant in groups with no CPCs, 0<CPCs≤400 and CPCs>400 was 310 (36%), 31 (16%) and 3 (6%) respectively (P<0.001). The median PFS in the 3 groups was 27 months (95% CI, 25-30), 15 months (95% CI, 13-18) and 6 months (95% CI, 4-10) respectively (P<0.001) and 5-year OS rates were 70% (95% CI, 66-74), 42% (95% CI, 34-51) and 12% (95% CI, 5-26) respectively (P<0.001). Kaplan-Meier curves for PFS and OS are depicted in Figure I (A and B). In a multivariate model (Table I), the groups with 0<CPCs≤400 and CPCs>400 had an increased risk of death, independent of the presence of HR cytogenetics and disease status at transplant. Conclusion: Our study shows the strong negative prognostic impact of CPCs prior to transplant on post-transplant response and survival in MM in the era of novel agents. The proposed risk stratification model can be easily employed with simple equipment and should be routinely incorporated in the pre-transplant workup. Detailed epigenomic, genomic and transcriptomic analysis of CPCs is urgently needed to uncover the biological basis of resistance to both high-dose cytotoxic therapy and novel agents and identify potential avenues of targeted therapy against CPCs. Disclosures Kumar: Onyx: Consultancy, Research Funding; Kesios: Consultancy; Celgene: Consultancy, Research Funding; Glycomimetics: Consultancy; AbbVie: Research Funding; BMS: Consultancy; Sanofi: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding. Dispenzieri:Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Alnylam: Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; pfizer: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Jannsen: Research Funding. Kapoor:Celgene: Research Funding; Amgen: Research Funding; Takeda: Research Funding. Gertz:Sandoz Inc: Honoraria; NCI Frederick: Honoraria; Celgene: Honoraria; Alnylam Pharmaceuticals: Research Funding; GSK: Honoraria; Novartis: Research Funding; Research to Practice: Honoraria, Speakers Bureau; Med Learning Group: Honoraria, Speakers Bureau; Ionis: Research Funding; Prothena Therapeutics: Research Funding; Annexon Biosciences: Research Funding.