Citations

Abstract Background: Bendamustine and rituximab (BR) is a commonly chosen frontline treatment for grade 1-2 (G 1-2) follicular lymphoma (FL). This regimen resulted in significantly longer progression-free survival (PFS) and less toxicity compared to R-CHOP in the STiL trial [Rummel et al., 2013] and similar results were observed when comparing BR vs. R-CHOP/R-CVP in the confirmatory BRIGHT trial [Flinn et al., 2014, updated ASCO 2017]. Importantly, patients (pts) with grade 3A (G 3A) FL were excluded from these studies, yet the conclusions are often extrapolated to the treatment of G 3A pts. Notably, G 3A pts were included in the GALLIUM trial which used both bendamustine as well as CHOP backbones. Several retrospective studies of FL pts treated with frontline R-CHOP have demonstrated equivalent or improved overall survival (OS) for G 3A relative to G 1-2 FL (Koch et al., 2016, Mustafa et al., 2017, Yuan et al., 2017, Maeshima et al., 2013). Early disease progression after diagnosis and treatment with frontline R-CHOP has been identified as a strong predictor of poor OS in FL pts [Casulo et al. 2015], but has not been assessed in pts treated with frontline BR. We retrospectively evaluated outcomes of a large cohort of FL pts treated with frontline BR and stratified the results based on histologic grade and early vs. late progression. Methods: We reviewed medical records of adult (age >18) pts with FL treated with frontline BR at 18 US cancer centers. There was no central pathology review; each academic institution confirmed the diagnosis and grade of FL. Pts with unknown grade, grade 3B, or cutaneous FL were excluded. Baseline characteristics between grades were evaluated with the Chi-Square test for categorical variables and the Mann-Whitney U for continuous variables. Outcomes were calculated from time of initiation of BR. Patients were grouped according to whether or not they had progression of disease within 24 months of BR initiation (POD24). OS and PFS were estimated using the Kaplan-Meier method and compared using the log-rank test. Results: 687 pts were included (616 G 1-2, 71 G 3A). Median age at diagnosis was 60 years (range 21-94) with 53% men. The median time from diagnosis to treatment with BR was 1 month (range 0-139). The median duration of follow up for the entire cohort was 39 months. Characteristics including age, gender, ethnicity, ECOG, stage, LDH, and FLIPI are shown in the Table, and did not significantly differ between G 1-2 and G 3A pts. Rates of complete response (CR) and partial response (PR) to BR were similar between G 1-2 and G 3A (72%/22% vs. 66%/21%, respectively, p=0.114) but progressive disease (PD) was higher in G 3A pts (11.9%) relative to G 1-2 (4.8%, p=0.025). As shown in the Figure (A and B), 3-year PFS and OS was significantly longer for G 1-2 vs. G 3A pts (75% vs. 65%, log rank p= 0.035 and 90% vs. 86%, log rank p=0.007, respectively). Seventy-six (12.3%) of the 616 G 1-2 pts and 13 (18.3%) of the 71 G 3A pts experienced POD24 (p=0.19). For pts with both G 1-2 and G 3A FL, POD24 was associated with inferior OS (3-year OS 95% vs. 57% for G 1-2 pts, log rank p<0.0001 and 3-year OS 93% vs. 37% for G 3A pts, log rank p<0.0001) compared to patients without POD24. Conclusions: G 3A FL pts have an inferior OS and are significantly more likely to have PD to frontline BR compared to G 1-2, which differs from the published experience with R-CHOP. Similar to outcomes after frontline treatment with R-CHOP, POD24 after frontline BR for FL is associated with very poor OS. Future studies are needed to address optimal frontline management of pts with G3A as well as for pts with any grade FL with POD24 after frontline BR. Disclosures Nastoupil: Novartis: Honoraria; Genentech: Honoraria, Research Funding; Gilead: Honoraria; Celgene: Honoraria, Research Funding; TG Therappeutics: Research Funding; Karus: Research Funding; Merck: Honoraria, Research Funding; Spectrum: Honoraria; Janssen: Research Funding; Juno: Honoraria. Cerhan:Jannsen: Other: Scientific Advisory Board; Celgene: Research Funding; Nanostring: Research Funding. Maurer:Celgene: Research Funding; Nanostring: Research Funding; Morphosys: Research Funding. Smith:Genentech: Research Funding; Incyte Corporation: Research Funding; Portola Pharmaceuticals: Research Funding; Pharmacyclics: Research Funding; Merck Sharp and Dohme Corp.: Consultancy, Research Funding; Acerta Pharma BV: Research Funding; Seattle Genetics: Research Funding. Lossos:Affimed: Research Funding. Portell:TG therapeutics: Research Funding; Amgen: Consultancy; Kite: Research Funding; AbbVie: Research Funding; BeiGene: Research Funding; Acerta: Research Funding; Genentech/Roche: Consultancy, Research Funding; Infinity: Research Funding. Calzada:Seattle Genetics: Research Funding. Cohen:Bristol-Myers Squibb: Research Funding; Infinity Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Infinity Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Research Funding; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Research Funding; Bristol-Myers Squibb: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BioInvent: Consultancy; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Research Funding; BioInvent: Consultancy. Ghosh:Spectrum: Consultancy; SGN: Consultancy, Research Funding, Speakers Bureau; Pharmacyclics, an Abbvie Company: Consultancy, Research Funding, Speakers Bureau; TG Therapeutics: Honoraria, Research Funding; Celgene: Consultancy; Juno: Consultancy, Research Funding; Abbvie: Consultancy, Speakers Bureau; Genentech: Research Funding; F. Hoffman-La Roche Ltd: Research Funding; PCYC: Consultancy, Research Funding, Speakers Bureau; Gilead: Consultancy, Speakers Bureau; Forty seven Inc: Research Funding. Barta:Janssen: Membership on an entity's Board of Directors or advisory committees; Merck, Takeda, Celgene, Seattle Genetics, Bayer: Research Funding. Caimi:Kite Pharma: Other: Advisory Board Participation; Genentech: Other: Advisory Board PArticipation, Research Funding; Celgene: Speakers Bureau; Kite Pharma: Other: Advisory Board Participation. Danilov:Gilead Sciences: Consultancy, Research Funding; Aptose Biosciences: Research Funding; Bayer Oncology: Consultancy, Research Funding; Astra Zeneca: Consultancy; Genentech: Consultancy, Research Funding; Takeda Oncology: Research Funding; TG Therapeutics: Consultancy; Verastem: Consultancy, Research Funding. Martin:AstraZeneca: Consultancy; Seattle Genetics: Consultancy; Janssen: Consultancy; Kite: Consultancy; Gilead: Consultancy; Bayer: Consultancy. Kamdar:Seattle Genetics: Speakers Bureau; Genentech: Consultancy. Kahl:AstraZeneca: Consultancy; Acerta: Consultancy; Juno: Consultancy; CTI: Consultancy; Celgene: Consultancy; Gilead: Consultancy; Seattle Genetics: Consultancy; Abbvie: Consultancy; Genentech: Consultancy; ADC Therapeutics: Consultancy. Hill:Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Genentech: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees.

Abstract Background: The selective AURKA inhibitor alisertib (MLN8237) exhibits disease modifying activity in murine models of myelofibrosis by eradicating atypical megakaryocytes resulting in reduction of marrow fibrosis (Nat Med 2015). Here, we present long term follow-up results from the investigator initiated pilot study of alisertib in patients with myelofibrosis (clinical trials.gov Identifier NCT 02530619). Methods: 24 patients with DIPSS intermediate 1, intermediate-2, or high risk myelofibrosis who were in need of therapy, refractory/intolerant or unlikely to respond to JAK inhibitors with neutrophil count ≥ 1 x109/L, and platelet count ≥ 50 x109/L, received alisertib (provided by Millennium Pharmaceuticals Inc) at a dose of 50 mg twice daily for one week every 21 days. Toxicity assessment was performed by the standard common terminology criteria (Version 4.0). Response was assessed by the international working group for myelofibrosis research and treatment (IWGMRT) criteria. Correlative studies included assessments of JAK2V617F, CALR, and MPL mutant allele burden, degree of fibrosis and GATA1 expression in bone marrow samples obtained pre and post therapy. Results: We enrolled 17 patients with primary myelofibrosis, 4 with post essential thrombocythemia myelofibrosis and 3 with post polycythemia vera myelofibrosis. Median age was 72 years with 66% males. 79% of patients were DIPSS intermediate risk, and the remainder were high risk with 15 patients (62.5%) having received prior JAK inhibitor therapy. Driver mutational status was as follows; 58% JAK2V617F, 29% CALR, and 13% MPL mutated. At study entry, 54% of patients demonstrated palpable splenomegaly ≥ 5 cm below the left costal margin, 54% were transfusion dependent with all patients experiencing constitutional symptoms. At the time of data cut-off, patients received a median of 7.5 cycles (range; 1-29 cycles) of therapy. The 7 patients presently on study have received a median of 23 cycles (range; 8-29 cycles). Reasons for treatment discontinuation included progressive disease/lack of response in 11 (65%) patients, toxicity in 4 (24%) patients and refusal of further therapy in 2 (11%) patients.Safety and Efficacy assessments The most common treatment-emergent grade 3/4 adverse events included neutropenia (42%), thrombocytopenia (29%) and anemia (21%), with 4% each experiencing neutropenic fever, diarrhea, vertigo, elevated creatinine and elevated alanine aminotransferase. 22 patients were considered for response evaluation with 4 of 14 patients (29%) with palpable splenomegaly ≥ 5 cm achieving a spleen response, 1 of 13 patients (8%) becoming transfusion independent, and 5 of 22 patients (23%) experiencing symptom response with ≥ 50% reduction in the MPN-SAF total symptom score. However, when response assessment was restricted to 13 patients who had received a minimum of 5 cycles of therapy, spleen responses were observed in 4 of 7 (57%) patients, 1 of 5 (20%) achieved transfusion independence and 5 of 13 (38%) achieved symptom response. All patients presenting with leukocytosis (n=4) and thrombocytosis (n=2) had resolution with therapy. Of the 7 patients presently on study, four patients continue to demonstrate symptom response, two patients with both spleen and symptom response, and another patient with sustained anemia response. Correlative assessments We compared the intensity of staining of GATA1, a factor that is required for maturation, in sequential bone marrow biopsies from six patients at baseline and after a minimum of five cycles and observed a striking increase in the numbers of GATA1-positive megakaryocytes in five of six cases (Figure 1a). In addition, we observed a one grade reduction in marrow fibrosis in 4 of 6 paired samples (Figure 1b). This reduction in fibrosis was accompanied by sustained responses to the drug. Finally, we compared JAK2, MPL or CALR mutant allele burden in eight paired baseline and cycle 5 or 6 samples and observed decreases in 4 of 8 patients (Figure 1c). Conclusions: Alisertib is safe and well tolerated in patients with myelofibrosis with prolonged administration up to 1.7 years. In addition to providing clinical benefit, alisertib restored normal morphology and GATA1 expression in atypical megakaryocytes and reduced marrow fibrosis and mutant allele burdens. These findings demonstrate that AURKA inhibition should be further explored as a therapeutic option in myelofibrosis. Figure 1. Figure 1. Disclosures Swords: AbbVie: Employment. Watts:Jazz Pharma: Consultancy, Speakers Bureau; Takeda: Research Funding. Frankfurt:Celgene, Jazz, Agios: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Membership on an entity's Board of Directors or advisory committees. Altman:Cyclacel: Other: payment to the institution to conduct clinical trial work; Epizyme: Other: payment to the institution to conduct clinical trial work; Ariad: Other: payment to the institution to conduct clinical trial work; Bayer: Other: payment to the institution to conduct clinical trial work; Celator: Other: payment to the institution to conduct clinical trial work; FujiFilm: Other: payment to the institution to conduct clinical trial work; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: payment to the institution to conduct clinical trial work; Agios: Other: Payment to the institution to conduct the trial ; Astellas Pharma: Other; Genetech: Other: Payment to the institution to conduct clinical trial work; Syros: Membership on an entity's Board of Directors or advisory committees; Incyte: Other: payment to the institution to conduct clinical trial work; GSK: Other: payment to the institution to conduct clinical trial work; Immune Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Janssen Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Boeringer Ingelheim: Other: payment to the institution to conduct clinical trial work; Novartis: Membership on an entity's Board of Directors or advisory committees; Pfizer: Other: payment to the institution to conduct clinical trial work. Rampal:Celgene: Honoraria; Stemline: Research Funding; Incyte: Honoraria, Research Funding; Constellation: Research Funding; Jazz: Consultancy, Honoraria. Giles:Actuate Therapeutics Inc: Employment, Equity Ownership. Crispino:Forma Therapeutics: Research Funding; Scholar Rock: Research Funding.

Abstract The current view is that treatment failures of AML patients are due to persistence of leukemia stem cells (LSCs). The presence of FMS-like tyrosine kinase-3 (FLT3) Internal tandem duplication (ITD) is associated with poor prognosis. But, FLT3 tyrosine kinase inhibitors (TKI) demonstrate transient clinical activity in FLT3-ITD+ AML patients. Persistent FLT3-ITD+ AML LSC represent a source of relapse. There is a pressing need to target LSC and improve outcomes for FLT3-ITD+ AML patients. PRMT1, the predominant arginine methyltransferase, has been implicated in pathogenesis of AML rare subtype (i.e., acute megakaryoblastic leukemia). Herein, we show that PRMT1 protein expression is significantly increased in LSC-enriched AML CD34+CD38- cells relative to the counterparts of normal peripheral blood stem cells (PBSC) (AML n=9, normal n=8, p=0.0004,). Following PRMT1-knockdown (KD), AML CD34+ cells (n=15) demonstrated varying degrees of apoptosis while the survival of normal cells were not affected. Interestingly, we observed significant apoptosis-induction in a subset of samples bearing FLT3-ITD mutation (6 out of total 15) upon PRMT1-KD (ShCtrl 13.9±3.6%, ShPRMT1 32.5±4.6%, p<0.001). PRMT1-KD induced apoptosis was also more evident in cord blood (CB) CD34+ cells expressing FLT3-ITD (ShCtrl 19.4±1.3%, ShPRMT1 45.2±2.5%, p<0.001) relative to that of FLT3-WT (ShCtrl 27.47±1.8%, ShPRMT1 36.9±1.6%, p=0.0167). In 293T cells ectopically overexpressing FLT3-WT or FLT3-ITD, co-immunoprecipitation (co-IP) indicated greater interaction between PRMT1 and FLT3-ITD. Through RNA-Seq profiling two AML lines (MV4-11, OCI-AML3) plus one FLT3-ITD transduced CB CD34+ cells with PRMT1-KD, we obtained a differentially-regulated gene set as a "PRMT1 signature". This signature was enriched in FLT3-ITD+ AML relative to FLT3-WT AML according to ssGSEA analysis using two AML datasets (GSE14468, GSE10358), indicating PRMT1 may cooperate with FLT3-ITD regulating AML maintenance. Given that PRMT1 directly interacts with FLT3-ITD, we next asked whether PRMT1 catalyzes FLT3-ITD protein methylation. Through mass-spectrometry analysis of a FLT3-ITD+ AML specimen and in vitro methylation assay, we identified that PRMT1 catalyzes FLT3-ITD arginine (R) methylation (Me) at two conserved residues, 972 and 973. Using in-house R972/973 Me antibody, we validated the expression of FLT3 R-Me in FLT3-ITD AML speciemens (7 out of 7). To test R-Me function, we transduced MLL-AF9 (MA9) overexpressing murine c-Kit+ cells with methylation-deficient FLT3-ITD (R972/973K, arginine [R] to lysine [K]) construct, and found that MA9 cells expressing R972/973K underwent more apoptosis than that of WT FLT3-ITD (WT FLT3-ITD 9.7±1.1%, R972/973K 23.7±2.1%, p=0.003). The double transformed cells were further transplanted into recipients for leukemia development. Mice receiving MA9 cells expressing R972/973K exhibited longer survival (median survival: WT FLT3-ITD 36 days, R972/973K 50 days, p=0.002, n=6). Mechanistically, expression of R972/973K did not affect the total tyrosine phosphorylation level of FLT3-ITD. Additionally, FLT3-ITD R-Me expression persisted after a TKI (AC220) treatment. These facts indicated that FLT3-ITD R-Me function is independent of FLT3-ITD kinase activity. We then used a FLT3-ITD+ patient derived xenograft (PDX) model to assess the effects of TKI and PRMT1 inhibition. Following engraftment >1% in peripheral blood, we divided mice (n=24) into 4 groups and treated each with vehicle, MS023 (a type I PRMT inhibitor, ACS Chem Biol. 2016;11:772-781) (160 mg/kg/i.p), AC220 (10 mg/kg/i.g) or combination for 4 weeks. MS023 treatment downregulating FLT3 R-Me levels enhanced elimination of FLT3-ITD AML cells by AC220 treatment (AC220 24.6±13.4% vs combination 7.6±6.5%, p=0.02, n=6). At 16 weeks post-secondary BMT, significant AML burden in single drug treated transplants was observed, but less AML cells were detected in combination-treated transplants (AC220 52.3%, vs combination 25.4%, p<0.001, n=6). MS023 had little effect on long-term in vivo engraftment of CD34+ from a human CB specimen (vehicle 76.3±5.9%, MS023 72.2±3.4%, p=0.21, n=5). In summary, our study demonstrated PRMT1 overexpression contributes to AML stem/progenitor cell survival possibly through FLT3-ITD methylation, supporting further exploration into how PRMT1-mediated FLT3 methylation governs LSC survival. Disclosures Khaled: Alexion: Consultancy, Speakers Bureau; Daiichi: Consultancy; Juno: Other: Travel Funding.

Abstract Abstract 259 Despite recent progress, our understanding of the genomic basis of diffuse large B cell lymphoma (DLBCL) is incomplete. We have performed massively parallel whole exome sequencing with deep coverage of 57 primary tumor samples from patients with DLBCL and compared them to matched normal tissue to gain insight into the genetic defects leading to DLBCL. We define genes that are significantly enriched for somatic mutations, and thus, may be drivers of the disease. In addition to identifying genes that are well established to be functionally relevant in DLBCL, such as MyD88, CARD11, EZH2, and BCL2, we also discovered new genes that are significantly mutated that have not been described to play a role in DLBCL previously, such as MLL2, 3 and4 genes and PCLO. One of the challenges for the understanding of DLBCL biology is to determine the relative contribution of different genes with somatic mutations to the pathogenesis of the disease in an individual patient. Identification of functionally relevant mutated genes that only occur in a small number of patients based on prevalence alone may require thousands of patient samples. We therefore devise several strategies to discover genes with a high likelihood of functionally relevant mutations independent of their prevalence. Genes that do not co-occur with other mutated genes in the same patients, i.e. are mutually exclusive, are more likely to represent strong drivers, and to occur early in the development of DLBCL. We determined that TP53, BCL2, PIM1, and CD79B fall into this group. We apply pathway-focused analysis to identify mutated genes with low prevalence that are highly likely to have a functional impact. For instance, we identified G13D mutations in KRAS in two patients, and mutations in BRAF, NOTCH1, SOCS1, and PTEN in other patients that were previously described in other malignancies. These mutated genes are identified as part of significantly enriched gene sets, including the B cell receptor signaling/NFkB pathway, JAK/STAT, and antigen processing gene sets. In addition to these pathways that are important for physiological B cell activation, we find that many histone methyltransferases are enriched as a geneset in addition to MLL2. We identified a number of hotspots that are subject to somatic mutation. Our data imply that many of these hotspots may be targets of activation-induced cytidine deaminase (AID), which is usually involved in somatic hypermutation, suggesting a possible mechanism of how somatic mutation in DLBCL is mediated. In summary, our data define novel genetic defects in DLBCL by whole exome sequencing of 57 patients. Our data suggest that driver mutations may not be randomly distributed across the genome, but may occur in a directed fashion. We identified new genes not previously implicated in DLBCL, and have developed strategies to prioritize mutations that are most likely to be drivers of the disease. Disclosures: No relevant conflicts of interest to declare.

Abstract Background: Von Willebrand factor (VWF) is a multimeric glycoprotein synthesized in endothelium and megakaryocytes. Elevated total VWF antigen has been associated with arterial thrombosis, while in patients with left ventricular assist devices (LVAD), loss of high molecular weight multimers is associated with spontaneous bleeding. We hypothesized that the lower rotational speed of the Heartware LVAD would be associated with less severe disruption of VWF. Methods: A total of 22 patients were included. We compared samples from a) 17 patients with Heartmate II LVAD (HM II), 76% male, median age 67 (54-73) years, 24% non-white, 45 (33-59) months after implant, with b) 5 patients with Heartware (HW) LVAD, all male, age 64 (59-65) years, 20% non-white, 27 (14-29) months after implant. All patients received warfarin. All HW patients took aspirin, while 82% of HM II patients took aspirin. Samples were analyzed for VWF antigen, activity, platelet function analyzer-100 collagen adenosine diphosphate closure time (PFA) and VWF multimers by gel electrophoresis. Multimers were assessed qualitatively and quantitatively by dividing mers > 15 by mers 2-15 (multimer ratio) and with a normalized multimer ratio (multimer ratio of patient / normal plasma control from the same gel). Results: Although flow rates did not differ significantly between HM II and HW, 5.2 (4.6-6.5) versus 4.3 (4.2-5.4) liters per minute respectively, rotational speeds were very different, mean 9472 versus 2680 rpms, p<0.0001). There were no differences in hemoglobin, hematocrit, or platelet count at the time of sampling. Qualitative VWF multimers were abnormal in all patients, and PFA was non-clotting in 88% of HM II patients and 80% of HW patients. VWF activity to antigen ratio was not different: HM II 0.68 (0.63-0.74) versus HW 0.70 (0.63-0.71). However, VWF antigen was significantly higher in HM II patients, 199 (174-227) compared to HW, 139 (122-160), p=0.039 and the normalized VWF multimer ratio was significantly lower, suggesting greater loss of high molecular weight multimers in HM II, 0.43 (0.41-0.48) compared to HW, 0.53 (0.48-0.56), p=0.0025 (figure). Conclusion: The lower rotational speed associated with the Heartware LVAD appears to produce less elevation of VWF antigen, and slightly less loss of VWF high molecular weight multimers compared to the Heartmate II LVAD. Additional studies are needed to describe whether or not lower pump thrombosis rates and rates of spontaneous bleeding are associated with these differences. Figure 1. Figure 1. Disclosures No relevant conflicts of interest to declare.

Abstract Background: The initial therapies for multiple myeloma have changed significantly in the recent years with routine incorporation of combinations containing IMiDs and proteasome inhibitors. However, patients with MM invariably relapse after their initial treatment and undergo successive therapies for continued control of their disease. The increasing access to new therapies for treatment of relapsed disease has led to improved survival of patients with MM. Many recent phase 3 trials have studied the impact of new agents on outcome of patients with MM who are relapsing after the initial lines of therapy for relapsed disease. However, the natural history of relapsed myeloma earlier in the course of relapsed disease has not been studied in detail. Patients and methods: We designed a global, multicenter, retrospective study to examine the current treatment approaches for initial relapses in MM and patient outcomes following application of successive treatment regimens. Patients with multiple myeloma who experience a first relapse between January 1, 2007 and December 31, 2011 were identified at participating sites. Clinical and laboratory data pertaining to the time of diagnosis and from the time of individual relapses up to and including the third relapse will be obtained from the clinical records. The first date of treatment with an anti-myeloma regimen for first disease relapse was termed time zero (T0). Results: Three hundred and fifteen patients were enrolled; median age at diagnosis was 59 years (range: 35 - 86), 59% were male. Patients were enrolled from North America (33%), Europe (35%) or Asia (32%). The patients were diagnosed between 1997 and 2011 and the median time to T0 from diagnosis was 23.9 months (range: 0.8 - 131.9 months). An IMiD (thalidomide or lenalidomide), bortezomib or alkylator (melphalan or cyclophosphamide) was part of the initial therapy in 63%, 36% and 51% of patients, respectively; 93 (33%) patients had stem cell transplantation as part of initial treatment. The median follow up from the study entry was 56 months; 117 were alive at the time of data extraction. A second line, third line and fourth line of treatment were recorded in 307, 163 and 84 patients respectively. An IMiD (thalidomide, lenalidomide, or pomalidomide), proteasome inhibitor (bortezomib or carfilzomib) or alkylator (melphalan or cyclophosphamide) was part of the therapy for first relapse in 50%, 59% and 33% of patients, respectively. The responses to the regimens after T0, the TTNT, PFS and OS to each line of therapy are provided in the Table. Conclusion: The current study provides an assessment of the current treatment approaches used for initial treatment of MM and the salvage treatment options utilized. The study again demonstrates the progressively shorter duration of disease control with each successive treatment regimen, reflecting ongoing development of drug resistance. The overall survival of over 3 years from the time of therapy for first relapse highlights the impact of the newer therapies that have been introduced for this disease. Table. Treatment outcomes after initial relapse Endpoint 2nd line therapyN=307 3rd line therapyN=163 4th line therapyN=84 Partial response or better Median in Months (95% Confidence Interval) Overall Survival 36.1 (30.2, 42.4) 18.4 (14.5, 26.8) 12.6 (10.4, 19.0) Progression-Free Survival 13.4 (11.8, 15.8) 8.3 (6.5, 11.2) 6.4 (5.0, 8.1) Time to Next Treatment 15 (12,17) 9.8 (7.4, 12.0) 6.6 (5.8, 8.7) Figure 1. Figure 1. Disclosures Kumar: Onyx: Consultancy, Research Funding; Skyline: Consultancy, Honoraria; BMS: Consultancy; Sanofi: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Novartis: Research Funding; Takeda: Consultancy, Research Funding; Celgene: Consultancy, Research Funding. Dimopoulos:Novartis: Honoraria; Amgen: Honoraria; Janssen-Cilag: Honoraria; Genesis: Honoraria; Janssen: Honoraria; Onyx: Honoraria; Celgene: Honoraria. Leleu:Janssen: Honoraria; Celgene: Honoraria; Takeda: Honoraria; Amgen: Honoraria; TEVA: Honoraria; Novartis: Honoraria; BMS: Honoraria; Pierre Fabre: Honoraria; LeoPharma: Honoraria; Chugai: Honoraria. Moreau:Celgene, Janssen, Takeda, Novartis, Amgen: Membership on an entity's Board of Directors or advisory committees. Lahuerta:Janssen Cilag, Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Vij:Takeda, Onyx: Research Funding; Celgene, Onyx, Takeda, Novartis, BMS, Sanofi, Janssen, Merck: Consultancy.

Abstract Abstract 3989 Background: Treatment patterns of multiple myeloma (MM) vary across the globe, mostly dictated by the availability and patient access to different drug therapies. The outcomes of patients with MM, especially relapsed myeloma can be significantly affected by the availability of newer treatments, as well as potential biological differences related to ethnicity. We have previously shown that the outcome of patients relapsing after therapy with bortezomib (Bz) and one or more of the IMiDs remain poor with the currently available treatments and represent a difficult group of patients to treat. We undertook the current analysis on a set of patients from United States, several European countries and South Korea. Methods: We designed a multicenter, retrospective study that enrolled 294 patients with relapsed MM, from 14 sites (122 from Europe, 107 from US, and 65 from Korea). Patients were refractory to Bz, defined as no response to prior Bz-containing regimen or disease progression within 60 days of a Bz-containing regimen. Patients were also relapsed, refractory, intolerant, and/or ineligible, to treatment with an IMiD (thalidomide or lenalidomide). The date patients satisfied the above entry criteria was defined as time zero (T0). Clinical and laboratory data from diagnosis and individual relapses were collected along with details of all MM drug therapies before and after T0. Responses were assessed by IMWG or EBMT criteria. The goal of the study was to compare the characteristics of patients who satisfy the above inclusion criteria, the therapies employed prior to and after T0 and clinical outcome among these patients from different parts of the world. Results: The mean (median, range) time to reaching T0 from diagnosis was 4.5 (4.0, 12.8), 4.2 (3.2, 18.6), and 3.2 (2.8, 9.6) years from diagnosis for patients from US, Europe and Korea, respectively, P=0.021. The mean (median, range) number of therapies for the three groups were 8 (8, 13), 4 (4, 10), 5 (4, 7), respectively; P<0.001. The response rates (>=PR) to the initial therapy at diagnosis were 56%, 77% and 49% respectively for the US, European and Korean cohorts. Overall 220 patients had at least one therapy after T0, and 114 (52%) had a novel agent (Bz, len or thal) containing regimen as their first treatment after T0. Patients in US were more likely to receive additional therapies after the first post-T0 therapy; 62%, 32%, and 12% of patients from US, Europe and Korea, respectively, began a second post-T0 regimen within 2 years following time zero. The median number of therapies post T0 was 2, 1, and 1 for patients in US, Europe and Korea respectively. The response rates to the first regimen after T0 were 15%, 33% and 19% for the US, European and Korean cohorts, and were similar between those receiving a regimen with one of the novel drugs compared to rest. Patients younger than 60 years and those with prior transplants were more likely to respond to post T0 regimens. The median time to progression or death from T0was similar for the three patient cohorts, 5 months (Figure 1A). The median overall survival (95% CI) from T0 was 13 months (10, 16), 7 (5,9) and 8 (4,9) respectively for the US, European and Korean cohorts (Figure 1B). Conventional prognostic factors, especially the ISS stage was predictive of OS post T0. Additionally, presence of extramedullary disease was associated with a shorter overall survival. Conclusion: The results of the current study demonstrate significant differences between different parts of the world in terms of the treatment patterns both in the setting of initial therapy as well as treatment of relapsed disease. Patients in the US were more likely to receive multiple regimens both before and after T0. This is likely a reflection of increasing numbers of new drugs that have gone into clinical trials and thus enhancing options. The study further highlights the poor outcome of patients who have relapsed after the new drugs, irrespective of the geographical location. Disclosures: Kumar: Merck: Consultancy, Honoraria; Genzyme: Consultancy; Celgene: Consultancy. Richardson:Millennium: ; Celgene: ; Johnson & Johnson: ; Novartis: ; Bristol Myers Squibb:. Moreau:Millennium Pharmaceuticals, Inc.: Advisory board, Honoraria; Janssen: Advisory board, Honoraria. Sonneveld:Millennium Pharmaceuticals, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Onyx: Membership on an entity's Board of Directors or advisory committees, Research Funding. Siegel:Merck: Honoraria; Millenium: Honoraria, Research Funding, Speakers Bureau. San Miguel:Janssen-Cilag: Honoraria; Celgene: Honoraria. Palumbo:celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Durie:Celgene: Membership on an entity's Board of Directors or advisory committees.

Abstract BMT CTN 0201 was a randomized study of unrelated donor bone marrow (BM) vs. peripheral blood (PB) (N=551) in hematopoietic cell transplantation (HCT) for hematologic malignancies. The primary analysis after 2 years of follow up showed similar survival, disease-free survival and treatment-related mortality between the graft types. There was a higher rate of graft failure with bone marrow (9% vs. 3%, p=0.002) and a higher rate of chronic GVHD with peripheral blood (53% vs. 41%, p=0.01). (Anasetti et al, NEJM 2012) Patient reported outcomes (PROs) were collected from patients > 16 years old at enrollment and 0.5, 1, 2 and 5 years after transplantation with the Functional Assessment of Cancer Therapies - Bone Marrow Transplant (FACT-BMT), Mental Health Inventory (MHI), and Lee chronic graft-versus-host disease (cGVHD) symptom scale. At 5 years, 102 BM and 93 PB participants were alive and eligible for the quality of life (QOL) study. Clinically meaningful differences (changes in scores that are noticeable to patients) were considered 0.5 x standard deviation of the total population based on the distribution method. Results: Data as of 5/25/15 were analyzed. 70% completed the pre-randomization assessment, and 74-78% of adult survivors completed the 5 year assessment. Age < 30 at transplant and high risk disease were associated with missing 5 year data, but not graft source. Response rates at 0.5, 1 and 2 years were 28-43% of survivors. There are no differences in any of the primary QOL scores in the first two years after HCT using univariate comparisons, although missing data severely limit conclusions during this period. At 5 years, the FACT-Trial Outcome Index (TOI), the MHI Psychological Well-Being, and the cGVHD symptom scale scores are all significantly better for BM patients, although only the latter two are still significant after adjustment for multiple testing (p<0.0125 because of 4 primary QOL variables). Results were similar when tested in multivariate models adjusting for baseline patient-reported scores and also imputing missing values based on patient characteristics (Table). Of the 7 chronic GVHD subscales, symptoms in the eye, lung, and energy were significantly better with BM (p<0.01). A diagnosis of cGVHD was highly associated with patient-reported cGVHD symptoms but not with QOL or psychological status. Inclusion of extensive cGVHD in the multivariate models did not change the significance of PRO differences suggesting that differences in cGVHD incidence do not explain the PRO findings. With a median follow up of 73 months for survivors, no difference in survival between PB and BM is observed (p=0.84, Figure). Conclusion: At 5 years after transplant, recipients of unrelated donor BM have better psychological well-being and less burdensome chronic GVHD symptoms than recipients of PB. Survival rates are similar. Table. Comparisons of primary QOL variables at 5 years, adjusted for QOL values at baseline and missing data using inverse probability weighting using significant clinical characteristics. QOL scale Bone marrow (n=102) Peripheral blood (n=93) P value Clinically significant difference* Difference between BM and PB (95% CI) FACT-BMT TOI, mean +/- SE (higher scores better) 76.7 +/- 1.6 (n=79) 70.5 +/- 1.9 (n=69) 0.014 8.5 6.2 (1.3-11.1) MHI - Psychological well-being, mean +/- SE (higher scores better) 78.9 +/- 1.7 (n=80) 72.2 +/- 1.9 (n=72) 0.011 8.4 6.7 (1.6-11.8) MHI-Psychological Distress, mean +/- SE (lower scores better) 16.0 +/- 1.3 (n=80) 19.0 +/- 1.5 (n=71) 0.128 6.5 -3.0 (-6.8,0.9) Chronic GVHD symptoms, mean +/- SE (lower scores better) 13.1 +/- 1.5 (n=80) 19.3 +/- 1.6 (n=72) 0.004 7.1 -6.3 (-10.5, -2.0) SE, standard error *0.5 x STD Figure 1. Figure 1. Disclosures Lee: Bristol-Myers Squibb: Consultancy; Kadmon: Consultancy. Maziarz:Athersys: Consultancy, Patents & Royalties, Research Funding; Novartis: Consultancy.

Abstract Background: Retinoblastoma (RB) is the most frequent pediatric retinal tumor. In the present study, to elucidate chemoresistance mechanisms and identify potential biomarkers in RB, we utilized RNA sequencing (RNAseq) technological platforms to reveal transcriptome profiles and identify any differentially expressed genes (DEGs) between an etoposide drug-resistant subline (Y79/EDR) and parental Y79 cells. Methods: To test whether Y79/EDR cells showed resistance to antineoplastic agents for RB, we treated the cells with etoposide, carboplatin and vincristine and analyzed them with a Cell Counting Kit-8 (CCK-8). Y79/EDR and parental Y79 cells were used for RNAseq and bioinformatics analysis to enable a genome-wide review of DEGs between the two lines using the DESeq R package (1.10.1). Then, DEG enrichment in Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways was analyzed with KOBAS software. Next, real-time quantitative reverse transcription polymerase chain reaction (real time QRT-PCR) and cytotoxicity assays were performed to experimentally and functionally validate the identified candidate biomarkers. Results: Y79/EDR cells showed resistance to etoposide, carboplatin and vincristine at different concentrations. In total, 524 transcripts were differentially expressed in Y79/EDR cells based on analysis of fragments per kilobase of transcript per million fragments mapped (FPKM); among these, 57 genes were downregulated and 467 genes were upregulated in Y79/EDR cells compared to parental Y79 cells. We selected candidate DEGs, including ARHGAP9 , HIST1H4H , RELN , DDIT4 , HK2 , STC1 and PFKFB4, for mRNA expression validation with real time QRT-PCR assays and found that the expression levels determined by real time QRT-PCR were consistent with the RNAseq data. Further studies involving downregulation of ARHGAP9 with a specific siRNA showed that ARHGAP9 altered the cellular sensitivity of Y79 cells to etoposide and carboplatin. Conclusion: Our initial findings provided a genomic view of the transcription profiles of etoposide-induced acquired resistance in RB. Follow-up studies indicated that ARHGAP9 might be a chemoresistance biomarker in RB, providing insight into potential therapeutic targets for overcoming acquired chemoresistance in RB. These findings can aid in understanding and overcoming chemoresistance during treatment of RB in the clinic.