Citations

Abstract Interleukin-6 (IL-6) and insulin-like growth factor-1 (IGF-1) mediate growth of MM cells via activation of the mitogen-activated protein kinase (MAPK), JAK2/STAT3, and phosphatidylinositol 3′-kinase/Akt kinase (PI3-K/Akt) signaling cascades. We have previously demonstrated the in vitro and in vivo activity of Revlimid™ (CC-5013), an immunomodulatory analog (IMiD) of thalidomide, in MM. In the present study, we have examined the anti-MM activity of rapamycin, a specific mTOR inhibitor, combined with Revlimid™. This combination was highly synergistic at 0.1nmol/L of rapamycin with 0.1mmol/L of Revlimid™, and remained synergistic at higher concentrations. Based on the Chou-Talalay method, combination indices of < 1 were noted for all dose ranges of Revlimid™ and rapamycin, suggesting strong synergism. Importantly, this combination was able to overcome drug resistance when tested against MM cell lines resistant to conventional (doxorubicin, melphalan, dexamethasone) chemotherapy. Moreover, the combination, but not rapamycin alone, was able to overcome the growth advantage conferred on MM cells by IL-6, IGF-1, or adherence to bone marrow stromal cells (BMSCs). Cytotoxicity triggered by a combination of rapamycin with Revlimid™ resulted in apoptosis of MM cells. Furthermore, differential signaling cascades, including the MAPK and PI3-K/Akt pathways, were targeted by these drugs individually and in combination, suggesting the molecular mechanism by which they interfere with MM growth and survival. These studies therefore provide the framework for the clinical evaluation of targeted agents like mTOR inhibitors combined with immunomodulatory agents like Revlimid™ to improve patient outcome in MM.

Background: Autologous stem cell transplantation is an effective treatment modality for patients with multiple myeloma. While most of the patients relapse after ASCT with a median time to progression of 2 years, there is a significant heterogeneity in the duration of response. It has been hypothesized that the effect of high dose alkylator therapy used for conditioning may have a dual effect on the myeloma cells as well as marrow microenvironment. It is also known that hematopoiesis, especially thrombopoiesis, depends to some extent on signals form the marrow microenvironment. We examined if there was any relationship between delayed platelet engraftment and outcome after ASCT. Methods: We examined the outcomes in a group of patients undergoing ASCT for myeloma at our institution to compare the response duration to platelet engraftment kinetics. We studied 687 patients undergoing ASCT with melphalan conditioning followed by peripheral blood stem cell transplant. Results: Among the 687 patients undergoing ASCT, 200 pts (29%) achieved a platelet count of 50,000 by day 21 (early group) and the rest achieved this level after 21 days or never engrafted (late group). The median time to progression (TTP) among the late group was 24.8 months (95% CI; 19.6, 30 months) vs. 16.8 months (95% CI; 15.1, 18.6 months) for the late group (p < 0.001) (Figure). Patients in the late engraftment group were more likely to achieve a complete response compared to the early group; 39% vs. 30%, p = 0.02. In a multivariate analysis examining factors predicting for longer time to progression after ASCT, delayed platelet engraftment was independent of transplant within 12 months of diagnosis, CR with ASCT, absence of cytogenetic abnormalities, B2M < 3.5 mg/L and a plasma cell labeling index < 1% at the time of ASCT (Table). Conclusions: In this study, we have demonstrated for the first time a relationship between delayed platelet engraftment after ASCT and the duration of response following ASCT. This intriguing finding raises several hypotheses. It is possible that the delayed platelet engraftment is a marker of marrow microenvironment dysfunction secondary to high dose therapy, given the role of marrow microenvironment on thrombopoiesis. It is possible that this is a surrogate marker for the biological effectiveness of the melphalan dose, which can affect the other cells in the marrow microenvironment as well. It is likely a reflection of the marrow microenvironment dependence on the myeloma cells for its survival. These findings should be confirmed in other larger patient groups. Predictors of progression Variable Hazard Ratio P Platelet Engraftment > 21 days 0.80 (0.60, 0.96) 0.02 Late transplant (>12 months from diagnosis) 1.6 (1.3, 2.0) <0.01 Plasma cell labeling index > 1% 1.9 (1.5, 2.4) <0.01 Complete response 0.41 (0.33, 0.51) <0.01 Abnormal Cytogenetics 1.8 (1.4, 2.3) <0.01 B2M > 3.5 1.2 (0.96, 1.5) 0.12 Figure Figure

Abstract Background: Pomalidomide is an immunomodulatory agent (IMiD®) that has been approved for treatment of relapsed and refractory multiple myeloma (MM). Combinations of IMiDs and proteasome inhibitors offer the potential for deeper and more durable responses due to enhanced efficacy. Preliminary results of a phase 1 study of twice weekly bortezomib with pomalidomide have been reported with promising results (Richardson, ASH 2012). This phase I/II trial was designed to evaluate the maximum tolerated doses (MTD) as well as safety and efficacy of the combination of pomalidomide, once weekly bortezomib and dexamethasone (PVD) in patients with relapsed, lenalidomide refractory, MM. Patients and methods: We included patients with relapsed MM who had 1-4 prior lines of therapy and were resistant or refractory to lenalidomide. In the phase I portion of the trial, dose level 1 consisted of pomalidomide 4 mg days 1-21 PO, bortezomib 1.0mg/m2 days 1,8,15, and 22 IV or SQ and dexamethasone 40 mg days 1,8,15, and 22 PO, given every 28 days. Bortezomib was increased to 1.3mg/m2 for dose level 2 and and was adopted for the phase 2 portion. The primary aim of the phase I cohort was to determine the MTD of the combination, and for the phase II cohort was to evaluate the confirmed response rate (PR, VGPR, or CR) in relapsed refractory MM. Response was assessed by the IMWG criteria and toxicity was graded using the CTCAE v4.0. Results: 50 patients were accrued between March 2012 and July 2014 (dose level (DL)1: 3, DL 2: 6, Phase II: 41). We describe results in 47 patients treated at MTD and phase II. Median age was 66, 51% were female and median time from diagnosis to study was 46 months (15-142). Twenty five percent had mSMART defined high-risk status. Median number of prior regimens was 3. All patients had prior lenalidomide, 68% had stem cell transplant, 17% received thalidomide, 56% had alkylators and 57% had bortezomib. With median follow up of 9 months, 72% remain progression free, 96% are alive and 66% remain on treatment. The most common AEs at least possibly attributable to the combination were anemia, fatigue, leukopenia and thrombocytopenia; however, the majority of these were grade 1-2. Grade ≥3 AEs (regardless of attribution) that occurred in at least 3 patients included neutropenia (29), leukopenia (15), lung infection (6), lymphopenia (8) dyspnea (3) and syncope (3). DVT/PE occurred in one patient. Among the 42 patients who were evaluable, confirmed responses (PR, VGPR, or CR) were seen in 34 (81%) including sCR (3), CR (5), VGPR (8), PR (18). Confirmed responses were seen in 9 of 11( 82%) high risk patients. Median progression free survival was 17.7 months (95%CI: 9.5-NA). Conclusions: PVD is a highly effective combination in patients refractory to lenalidomide with confirmed responses in over 80%. Weekly administration of bortezomib enhanced the tolerability and convenience of this regimen. Toxicities are manageable, mostly consisting of mild cytopenias with no significant neuropathy or DVT. PVD is a highly attractive option in patients with relapsed and refractory MM. Disclosures Lacy: Celgene: Research Funding. Lust:Senesco: PI Other. Fonseca:Medtronic, Otsuka, Celgene, Genzyme, BMS, Lilly, Onyx, Binding Site, Millennium, AMGEN: Consultancy, patent for the prognostication of MM based on genetic categorization of the disease. He also has sponsored research from Cylene and Onyx Other, Research Funding. Stewart:Celgene: Consultancy; Novartis: Consultancy; Array BioPharma: Consultancy; BMS: Consultancy; Millenium: Research Funding. Reeder:Millennium, Celgene, Novartis: Research Funding. Mikhael:Onyx: Research Funding; Celgene: Research Funding; Sanofi: Research Funding; Novartis: Research Funding.

Abstract Background Conflicting results have emerged, especially with respect to the impact on overall survival (OS), from trials evaluating lenalidomide maintenance (LM) therapy after induction therapy alone or post-autologous stem cell transplant (ASCT) in multiple myeloma (MM). We performed a systematic review and meta-analysis of existing outcome data from LM trials to evaluate role of lenalidomide as maintenance strategy in MM. Patients and methods A comprehensive search of electronic databases and abstracts through June 2013 was performed to identify randomized controlled trials (RCTs) that compared LM vs. placebo/no maintenance. Single arm studies were excluded. Pooled hazard ratio (HR) or odds ratio (OR) estimates with 95% confidence intervals (CIs) were calculated using the random-effects model for clinical endpoints of progression free survival (PFS), OS, response rate (RR) and adverse events (AEs), including second primary malignancies (SPMs). Analyses were performed using Comprehensive Meta-Analysis Software Version 2. We assessed between-study heterogeneity with the Cochran Q test and quantified its extent with the I2 statistic. Results Overall, five RCTs, with data extractable from four phase III trials (3 publications and 1 abstract) were identified (n= 1935). All studies were RCTs with an adequate randomization. MRC MM XI study was excluded from analyses as survival data are not available. Two placebo controlled trials (IFM 05-02, CALGB 100104) addressed the role of LM post-ASCT, one placebo-controlled trial (MM-015) studied LM therapy in the non-transplant setting and the remaining trial (RV-MM-PI209) had a 2 X 2 design comprising of both ASCT and non-transplant randomized arms followed by a second randomization of LM versus no maintenance. There was no heterogeneity for estimate of PFS results (Cochran Q, p=0.68; I2=0%), but considerable heterogeneity for estimate of OS (Cochran Q, p=0.09; I2= 55%), among the studies. There was significant prolongation of both PFS (HR 0.49, 95% CI, 0.41–0.58, p<0.001) and OS (HR 0.77, 95% CI, 0.62–0.95, p=0.013) with LM vs. placebo/no maintenance (Figure 1). Best response during maintenance was reported only in 2 studies and odds of responding (very good partial response or better) were not significantly different with LM (OR 1.28, p=0.3). Grade 3-4 AEs data were available from 3 trials for calculation of pooled OR with LM compared with placebo. We observed a nearly two-fold increase in the risk of SPMs with LM (OR 1.99; 95% CI, 1.31–3.04; p=0.001). Patients on LM were more likely to have grade 3-4 AEs than placebo: neutropenia (OR 4.9, p<0.001), thrombocytopenia (OR 2.7, p<0.001), fatigue (OR 2.3, p=0.01) and venous thromboembolism (OR 3.2, p=0.02). Odds of discontinuing treatment were also significantly higher in patients on lenalidomide (OR 2.9, p<0.001). Conclusions Meta-analysis of RCTs demonstrates significant improvement in PFS and modest improvement in OS with LM. There is an increased risk of grade 3-4 adverse effects, including SPMs with LM. Substantial heterogeneity for estimate of OS among protocols is a limitation of this analysis. Lack of uniform access to lenalidomide upon disease progression in the placebo/no maintenance arms of the constituent studies should be taken into account while interpreting aggregate effect estimates for OS in this meta-analysis. OS: Cochran Q p=0.09, I2=55%, substantial heterogeneity PFS: Cochran Q p=0.68, I2=0%, minimal heterogeneity Disclosures: Off Label Use: Lenalidomide for maintenance therapy in multiple myeloma. Kumar:Merck: Consultancy, Honoraria; Celgene: Consultancy, Research Funding; Millennium: The Takeda Oncology Company: Research Funding; Novartis: Research Funding; Genzyme: Research Funding. Dispenzieri:Celgene, Millenium, Jansenn, Pfizer: Research Funding. Bergsagel:Onyx: Consultancy. Lacy:Celgene Corporation: Research Funding.

Abstract Background: Proliferation rate of plasma cells (PC) is a powerful tool in evaluating all types of monoclonal gammopathies, predicting for progression as well as survival in all phases of the disease. A flow cytometry (FC)-based method to delineate the cell cycle of clonotypic PCs and determine the proportion in S-phase was developed. This method replaces a labor-intensive slide based methodology, but the prognostic power of this FC approach has not been clearly elucidated. Methods: A total of 1061 patients who had bone marrow (BM) FC PC proliferation analysis at Mayo Clinic, Rochester from May 2012 to December 2013 were studied. These included MGUS/ SMM (n=134), newly diagnosed (NMM; n=88), plateau in response (>=PR; n=544), and stable disease (n=38), and relapsed disease (RMM; n=257). PC proliferation was measured by 8-color FC using antibodies to CD19, CD38, CD138, CD45, and cytoplasmic kappa and lambda Ig light chains, and DAPI DNA staining. The DNA content of the abnormal, clonotypic PCs was specifically analyzed and the %S-phase was determined by measuring the proportion of cells between G0/G1 and G2/M. All studies collected 5x105 events on BD FACSCanto II instruments and analysis was performed with BD FACSDiva software. The CV of the DAPI staining of G0/G1 lymphocytes as an internal control population was always less than 3.5. Patients with fewer than 300 PCs for assessment of %SP were designated as 0%. Results: The median follow up from testing for the entire cohort was 13 months (95% CI; 12.7, 13.3); 156 (15%) had died. The proportion of patients with adequate numbers of plasma cells available for %SP estimation and the median (IQR) %SP for the different groups are as shown in table. As expected, patients with MGUS/SMM and those in a response state had slightly lower proportions of patients with sufficient PCs to estimate %SP. The clinical features and outcomes were further analyzed using two cutoffs, %SP ≥1 and ≥2, in the different patient groups. Among most of the disease groups, especially the newly diagnosed MM and relapsed disease, %SP was prognostic for OS using both cutoffs (Table). Among the NMM in univariate analysis, %SP ≥2, B2microglobulin >5.5, age >70 and creatinine > 2 mg/dl were all significant, but only B2microglobulin >5.5 retained significance in multivariable analysis. Among the RMM, in univariate analysis, %SP ≥2, B2microglobulin >5.5, HR FISH (t4; 14, t14;16, t14;20 & del17p) and LDH >221 were all significant, but only %SP ≥2 was significant in multivariable analysis. Conclusion: The %S-phase of clonal PCs determined by FC is of prognostic value in patients with MM, in all disease phases. This is particularly relevant among patients with relapsed disease, where it is independent of some of the other known poor prognostic factors such as high risk FISH. This is in sharp contrast with recent studies that have shown no prognostic value for slide based labeling index in patients treated with novel agents. Abstract 2053. Table MGUS/SMM NMM >=PR SD Relapse N 134 88 544 38 257 N (%) with PCs measurable for proliferation 103 (77%) 84 (96%) 245 (45%) 31 (82%) 210 (82%) %SP (IQR) 0.3(0.1-0.7) 0.8 (0.4- 1.5) 0(0- 0.9) 0.8(0.3-1.3) 1.2(0.4- 2.7) OS (%SP >1 vs. rest) NS NR for either(P<0.01) NR for either (P<0.001) NR for either(P=0.02) 19 vs. NR(P<0.001) OS (%SP >2 vs. rest) NS NR for either (P=0.03) 20 vs. NR(P<0.001) NR for either(P=NS) 16 vs. NR(P<0.001) Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Abstract Abstract 1040 Introduction: Hemophagocytic syndrome (HPS) is a rare disorder characterized by fever, splenomegaly, cytopenias, hypofibrinogenemia, hyperferritinemia and hemophagocytosis in the bone marrow or lymph nodes. It is caused by pathologic activation of the immune system, and manifests clinically with signs and symptoms related to extreme inflammation. Primary HPS or familial hemophagocytic lymphohistiocytosis (HLH) occurs predominantly in children (<18 years) due to inherited defects in natural killer and cytotoxic T-cell function. Secondary HPS generally occurs in adults (>18 years) and is precipitated by autoimmune disorders, malignancy and a variety of infections. The results of HLH-94 trial, the largest prospective study in pediatric patients with HLH, reported an estimated 5-year survival of 54%. There is a paucity of information about HPS in adult patients. Methods: Records of all adult (≥ 18 years) patients with a diagnosis of “hemophagocytosis“ or “hemophagocytic syndrome” presenting from January 1996 through December 2011 at Mayo Clinic were reviewed. Our hematopathology database was also analyzed for patients bearing a diagnosis of HPS. Out of a total of 127 patients identified in the database, 50 adult patients were diagnosed to have HPS as per the diagnostic criteria of the HLH-1994 trial (for patients seen prior to 2004), and HLH-2004 trial (for patients seen after 2004). This study was approved by the Institutional Review Board at Mayo Clinic. Results: Baseline characteristics of all patients are shown in Table 1. The median time to diagnosis from the onset of symptoms was 38 days (4–158 days). Secondary HPS was diagnosed in 46 (92%) patients. The causes of secondary HPS are shown in Table 2. Twenty (40%) patients were treated with etoposide containing regimen, 26 (52%) were treated with therapeutic agents directed specifically to the underlying precipitating disease, and 4 (8%) patients did not receive any treatment. No patient in our study underwent a stem cell transplant (SCT). After a median follow-up of 43 months, 36 (72%) patients have died. The causes of death were infection (47%), malignancy (42%), bleeding (8%) and unknown (3%). The median overall survival (OS) for the entire cohort was 1.5 months (95% CI, 0.7–4.5 months). The median OS for patients with malignancy- related HPS was 0.8 months (95% CI, 0.4–2.4 months) compared to 11 months (95% CI, 0.7-not reached) for patients with non-malignancy related HPS (p-value:0.006; Figure). On univariableanalysis, factors associated with a worse survival were serum albumin <2 g/dL (hazard ratio, 8.3), malignancy-related HPS (hazard ratio, 7.3) and serum creatinine >1.3 mg/dL (hazard ratio, 3.8). Conclusion: In this large series of adult HPS patients treated at a single tertiary care center, most cases are secondary, and are associated with a worse survival compared to historical outcomes reported for children enrolled on the HLH-94 trial. This is likely related to a marked delay in referral to our institution, and high early mortality precluding consideration of SCT. Adult patients with malignancy- related HPS in this study had a markedly inferior outcome compared to patients with non-malignancy related HPS. Disclosures: No relevant conflicts of interest to declare.

Abstract Background: Previous studies have demonstrated inferior overall survival (OS) among patients with AL amyloidosis who have bone marrow plasmacytosis (BMPC) >10%. It is well recognized that AL patients who achieve the deepest hematologic responses have superior organ response and OS rate. Methods: We designed a study to determine if BMPC% affects CR rate post ASCT and whether pre-transplant induction therapy improves response rate and OS among patients with a higher baseline BMPC burden. Results: Among 415 AL patients who underwent ASCT at Mayo Clinic, Rochester within 12 months of diagnosis, 116 (28%) had BMPC>10% at diagnosis. The median age was 57.2 years. The median follow up for surviving patients was 67.3 months. There was no statistically significant difference in age, gender, time from diagnosis to transplant, or use of attenuated conditioning regimen between groups with high (>10%) and low (≤ 10%) bone marrow involvement. The high BMPC group tended to receive more induction chemotherapy before ASCT, and presented with greater value of albumin, beta-2 microglobulin and difference in serum free light chain (dFLC). A higher CR rate was observed in low BMPC group (44.6% versus 26.7%, p=0.0013). In patients with high BMPC, a higher CR rate (33.9% versus 17.7%, p<0.05) was seen in those who received pre-ASCT induction therapy compared with no induction therapy. Among 3 groups of patients who had: no pre-ASCT therapy; steroid only as induction; and induction chemotherapy, the 5-year OS rates were 50.5%, 40% & 67.5%, respectively, p<0.03. Conclusions: Lower bone marrow burden at diagnosis yielded a deeper response following ASCT. Compared to no therapy, patients who were treated with steroid only pre-ASCT had an inferior OS, but other induction regimens appeared to improve survival. These data would support the concept that using induction therapy prior to ASCT conditioning among patients with higher tumor burden may be of value. Figure 1. In BMPC > 10% at diagnosis, OS comparison between induction therapies pre-ASCT Figure 1. In BMPC > 10% at diagnosis, OS comparison between induction therapies pre-ASCT Figure 2. Figure 2. Figure 3. Figure 3. Disclosures Kumar: Celgene: Research Funding; Celgene, Millenium, Sanofi, Skyline, BMS, Onyx, Noxxon,: Other: Consultant, no compensation,; Sanofi: Research Funding; AbbVie: Research Funding; Millenium/Takeda: Research Funding; Onyx: Research Funding; Skyline, Noxxon: Honoraria; Janssen: Research Funding. Gertz:Celgene: Honoraria; millenium: Consultancy, Honoraria; Onyx: Honoraria; Novartis: Honoraria; Smith Kline: Honoraria.

Abstract Background: Multiple myeloma (MM) cells evade apoptosis through multiple mechanisms thus enabling it to evade therapy. The Bcl2 family of anti-apoptotic proteins is aberrantly expressed in MM cell lines and patient cells. Yet, pharmacological intervention of this family appears to have significant activity only in molecular subgroups of MM patients. This clearly suggests alternate mechanisms of overcoming apoptotic signals in MM cells in addition to the Bcl2 family, through proteins such as IAPs. We have previously shown that simultaneous inhibition of the three major IAP proteins, namely cIAP1, cIAP2 and XIAP is required to induce pronounced apoptosis in MM cells. However, IAP inhibition results in apoptosis in only some MM cell lines and patient cells. Given that levels of Bcl2 family proteins are unaffected by IAP inhibition, we hypothesized that combined inhibition of the IAP proteins using a SMAC mimetic LCL161 and the Bcl2 family proteins using a pan-Bcl2 inhibitor obatoclax (OBX) will lead to more pronounced and synergistic cell death in a broader subgroup of MM patients. Methods: LCL161 was synthesized by Novartis Inc. (Basel, Switzerland). OBX was purchased from Selleckchem (Houston, USA). Stock solutions were made in DMSO, and subsequently diluted in RPMI-1640 medium for use. MM cell lines were cultured in RPMI 1640 containing 10% fetal bovine serum (20% serum for primary patient cells) supplemented with L-Glutamine, penicillin, and streptomycin. Cytotoxicity was measured using the MTT viability assay and proliferation using thymidine uptake. Apoptosis was measured using flow cytometry upon cell staining with Annexin V-FITC and propidium iodide (PI) for cell lines and patient cells. Immunoblotting was done on cell extracts at various time points following incubation with the drugs in order to study the cell signaling pathways and a Results: LCL161/OBX combination induced synergistic cytotoxicity and anti-proliferative effects on a broad range of human MM cell lines, including drug resistant cell lines like DOX40 and MM1R. Components of the bone marrow microenvironment including bone marrow stromal cells and tumor promoting cytokines (VEGF, IGF and IL6) were unable to protect MM cells from the effects of the drug combination. We saw a time dependent increase in apoptosis, with the combination inducing significantly more apoptosis than either of the single agents alone. Examining the mechanism of action of the drug combination showed clear inhibition of the IAP proteins, activation of caspases 9, 8, 3 and Bid by LCL161 and the combination and up regulation of the pro-apoptotic proteins Bim, Bid, Puma and Noxa and accumulation of LC3-II by OBX and the combination. Using chloroquine along with the OBX, we were able to demonstrate that OBX induced protective autophagy and the addition of LCL161 was able to overcome this protective effect induced after single agent OBX treatment. Since protective autophagy can be induced by the ER stress response, we then examined the expression levels of proteins involved in this pathway. We observed clear induction of ER stress mediated UPR pathway by both the drugs. However, LCL161 and OBX induced different branches of the UPR pathway. OBX activated the ATF6 and pErk/peif2α/ATF4 branches of the UPR, both of which have been implicated in cell survival during ER stress. ATF4 under irrecoverable ER stress can lead to increase in transcription of CHOP and cause apoptosis. We therefore examined levels of CHOP and observed no induction of CHOP post treatment with either of the drugs or the combination. LCL161, however differentially modulated the IRE1 branch of the UPR by down regulating Xbp-1 splicing, which is a pro survival activity of IREI and up regulating pJNK, which indicated a pro-apoptotic activity induced by IRE1 post irrecoverable ER stress This indicated that the ER stress induced apoptosis is triggered by LCL161, which might be important to overcome the ER induced protective effects induced by OBX. Conclusion: Taken together, our studies indicate that LCL161/OBX combination induces synergistic cell death through modulation of apoptosis, authophagy and the ER stress response. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Patients with light chain amyloidosis (AL) often have delayed diagnosis and present with significant symptomatology; this may result in decreased quality of life (QOL). With improving treatment options providing longer survival, it is increasingly important to assess QOL. However there is paucity of data in the literature addressing QOL in AL patients. We prospectively employ a "Hematology Patient Reported Symptom Screen" (HPRSS) which consists of three questions about fatigue, pain and overall QOL. The aim of this study is to understand if HPRSS parameters predict various clinical outcomes. Methods: Eligibility for this retrospective study was as follows: 1) New diagnosis of AL between 2009-2014; 2) baseline HPRSS documented in the medical record; and 3) at least a year of follow-up, which included either death within or follow-up through 12 months after diagnosis. The HPRSS questions were rated on a 1-10 scale, with 10 being the worst for fatigue and pain, and 10 being the best for overall QOL. Scores were abstracted from visits at time of diagnosis, and at 12 months +/- 1 month post-diagnosis. We considered a 2-point difference in serial scores a "change" over time. Results: For the 302 patients in this study, the baseline median scores [interquartile range] for fatigue, pain, and QOL were 6 [3,7], 2 [0,5] and 5 [3,8], respectively. Median overall survival (OS) was 39.1 months, with 102 deaths in the first year. There were significant differences in baseline HPRSS between those who lived longer than one year and the early death patients in the domains of fatigue (5 [IQR 3, 7] vs. 7 [IQR 5, 8], p<0.0001) and QOL (6 [IQR 4, 8] vs. 5 [IQR 3, 7], p=0.006), but not in pain (2 [IQR 0, 5] vs. 2 [IQR 0, 5]). There were significant baseline differences in the early death group for alkaline phosphatase, bilirubin, creatinine, and Mayo stage. Patients who received ASCT had the best baseline fatigue 4 [2.5,6] and QOL 7 [5,8] scores and were significantly different from those who did not receive ASCT [fatigue p<0.0001) and QOL (p<0.0001)] On univariate analysis fatigue and QOL were prognostic for OS. On multivariate analysis Mayo 2012 staging, autologous stem cell transplant and baseline fatigue remained independently prognostic. When analyses were restricted to the 125 patients with HPRSS measurements at 12 months, we found that over time QOL scores improved significantly 6 [IQR 3.5, 8] to 7 [IQR 5, 8] (two sided Wilcoxon signed rank p=0.01), but fatigue (5 [IQR 2, 5] to 4.5 [IQR 3, 6]) and pain scores (2 [IQR 0 ,4] to 1.5 [IQR 0, 4]) did not. Patients with worse baseline parameters tended to have improvement in QOL by 12 months while those with the best baseline parameters tended to decline in QOL although not statistically significant. When we included the 102 patients who died within 12 months to the comparison, the early death patients had the worst baseline parameters and there were significant differences across all 4 groups for most characteristics (Table 1). There was no association between achieving hematologic or organ response with change in QOL. Conclusion: Asking patients with AL to rate their fatigue and QOL using a 10-point scale has predictive value. Patient reported fatigue at diagnosis is an independent prognostic factor for survival. Survival at one year was associated with significant improvement in QOL. Table 1. Baseline parameters between patients with early death and/or survive 12 months. Grouped by Patient Reported QOL at 12 months Relative to Baseline Dead by 12 months, n=102 Improved, n=44 Stable, n=55 Worsened, n=26 pa HPRSS scores [IQR] Baseline QOL Baseline fatigue Baseline pain 12 month QOL 12 month fatigue 12 month pain 5 [3,7] 7 [5,8] 2 [0,5] NA NA NA 4 [3-5] b,c,d6 [4-8] b,c2 [0-4] 7 [6-9] b,d4 [1.25-6] 1 [0-3] 7 [4-8] 4 [2-7] 2 [1-5] 7 [4-8] 5 [3-6] 2 [0-4] 8 [7-10] 2.5 [0-5.25] 2 [0-6.25] 5 [3-7] 5 [3-6] 2.5 [1-4] <0.0001 <0.0001 NS NS 0.001 NS dFLC, mg/dL 48 (2.89-726) 30 (1.1-494) 19 (36-455) 22 (0.2-2097) 0.008 Troponin, ng/mL 0.065 (<0.01-0.84) 0.02 (<0.01-1.6) 0.01 (<0.01-0.19) 0.01 (<0.01-0.14) <0.0001 NT-proBNP pg/mL 5222 (159-70,000) 1766 (26-16868) 1381 (24-19180) 496 (56-2973) <0.0001 Received Transplant (%) 4 (4) 13 (33) 36 (50) 13 (50) 0.0002 a Significant by Wilcoxon across all 4 categories; b Significant difference between Improved and Worsened; c Significant difference between Improved and Stable; d Significant difference between Worsened and Stable Disclosures Kumar: Millenium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Abbvie: Research Funding; Janssen: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Novartis: Research Funding; Onyx: Consultancy, Research Funding. Thompson:Kite Pharma: Research Funding.

Abstract Introduction: Several B-cell malignancies, including chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), are known to have a familial component to disease risk. Although several common inherited genetic variants have been found to be associated with risk of these malignancies, a large proportion of the heritability remains unexplained. Here we set out to identify rare high-penetrance susceptibility variants for CLL and MM using the established Mayo Clinic family study of B-cell malignancies. Methods: We performed exome sequencing on germ line DNA of 106 families with either two or more members with CLL (n=93 families) or two or more members with MM or monoclonal gammopathy of undetermined significance (MGUS) (n=13 families) using Aglient capture kits. All samples were sequenced on an Illumina HiSeq2000. Bioinformatics analyses leveraged the following software packages: Novoalign, Picard, The Genome Analysis Toolkit (GATK), and the Biological Reference Repository (bioR). Quality control filters were implemented; subjects with mis-specified relationships were removed as were variants with <95% call rate or <20x coverage, and those variants identified as sequencing artifacts. To identify potentially functional single nucleotide variants, the following was required a) uncommon in public databases, b) cosegregating variants in multiple families, c) variants to be highly conserved and in coding regions, and d) functional prediction status of deleterious (SIFT score), damaging (PolyPhen score), and a moderate, or high variant impact (SNPEffect). The association of these variants with risk was then evaluated in large samples of cases and controls in genome-wide association studies (GWAS). Results: In the CLL familial cohort, there were 443 individuals (160 with CLL, 73 with monoclonal B cell lymphocytosis (MBL), and 210 relatives without CLL or MBL) sequenced; and in the MM cohort, there were 39 individuals (13 with MM, 13 with MGUS and 13 without MM or MGUS) sequenced. A total of 61,992 single nucleotide variants passed quality control filters in the CLL cohort and 39,456 single nucleotide variants in the MM cohort. From these, we identified 32 variants in the CLL cohort and 39 variants in the MM cohort that were cosegregating in multiple CLL or MM families, respectively, and were predicted to affect protein structure or function. Of these, one CLL variant was within 1 Mb of a known GWAS-discovered locus. Moreover, there were seven CLL and four MM variants that were within 1 Mb of single nucleotide polymorphisms (SNPs) that had statistical significance between p<10-4 and p<10-6 in GWAS. Finally, there were 3 variants found to be common between CLL and MM families (see Table). Conclusions: Through whole exome sequencing, we identified a number of rare, highly penetrant predisposition variants for CLL and MM. Several of these variants were common to both B-cell malignancies providing evidence of shared genetic components; one variant may be a functional driver of the GWAS-discovered loci. These identified variants provide a list for future validation studies. Table: Exome variants common in both Chronic Lymphocytic Leukemia and Multiple Myeloma SNP ID rs41314099 rs61754114 rs143025033 Chromosome 17 6 7 Gene WSCD1 BACH2 TNS3 Penetrance (CLL) 0.70 0.75 0.80 Penetrance (MM) 1.00 0.80 0.75 Allele Frequency (CLL) 0.015 0.025 0.017 Allele Frequency (MM) 0.077 0.077 0.058 1000 Genome Frequency (European) 0.010 0.020 0.010 SIFT Term Deleterious Deleterious Deleterious PolyPhen Term Probably Damaging Probably Damaging Probably Damaging SNP: Single Nucleotide Polymorphism; CLL: Chronic Lymphocytic Leukemia; MM: Multiple Myeloma; Penetrance is defined as proportion of individuals carrying the alternate allele that are also affected; SIFT: Sorting Intolerant From Tolerant, predicts whether an amino acid substitution affects protein function; PolyPhen: Polymorphism Phenotyping, predicts possible impact of an amino acid substitution on the structure of a human protein Disclosures No relevant conflicts of interest to declare.