Paulus, Aneel

Abstract INTRODUCTION: Treatment of chronic lymphocytic leukemia (CLL) has expanded significantly with the approval of multiple small molecule inhibitors. This is of great significance for patients with adverse cytogenetic features who tend to respond poorly to standard chemo-immunotherapy (CIT). While single agent ibrutinib and venetoclax (V) have shown high rates of overall response, complete remission and minimal residual disease (MRD) eradication rates remain low. This argues for further testing and development of various combination strategies. The MURANO trial compared venetoclax and rituximab (VR) versus bendamustine and rituximab (BR) in patients with relapsed/refractory CLL reporting clear superiority of VR over BR. MRD rates in the bone marrow were reported to be 27.3% for VR versus 1.5% for BR. Given much higher rates of MRD eradication with combination of small molecule inhibitors and monoclonal antibodies (mAb) compared to standard CIT, we performed a comparative investigation into the direct and immune-mediated cytolytic effects of VR versus V + Obinutuzumab (O, type II anti-CD20 mAb) in primary CLL cells and B-lymphoid cell lines. METHODS: CD19+ B-cells were isolated from PBMCs of CLL patients (N=3). For all experiments using primary CLL cells, concentration of VR and VO was 3nM (V) and 10ug /ml (R, O), respectively. For cell lines, VR and VO was used at 5uM (V) and 10ug /ml (R, O), respectively. Apoptosis was determined by annexin-V/PI staining followed by flow cytometry. Antibody-dependent cell-mediated cytotoxicity (ADCC) induced by VR and VO was assessed in Calcein AM labeled CLL cells or cell lines co-cultured with healthy donor PBMCs (E:T ratio, 40:1); complement-dependent cytotoxicity (CDC) was measured using 10% serum from a healthy human donor. RESULTS: We assessed the ability of V+/-O or V+/-R to induce apoptotic cell death in the CD20+ BCWM.1 cell line (Waldenström's macroglobulinemia [WM] phenotype) and the MEC-1 cell line (B-PLL phenotype); with CD20- RPCI-WM1 (WM cells, negative control). Notably, Bcl-2 protein is expressed in all the aforementioned cell lines. We observed that single agent V, O and R induced ~30%, 61% and 13.64% annexin V/PI positivity in BCWM.1 cells, respectively. However, a significant degree of cell death was noted in VO-treated cells (~74%) compared to VR-treated cells (~40%) (p<0.01). Next, we examined for apoptosis in MEC1 cells and noted a similar trend; where the VO combination induced markedly more cell death (~71%) than VR (~57%). Contrastingly, in RPCI-WM1 cells neither single agent O or R could elicit >12% annexin V/PI positivity and where the addition of V increased apoptosis by only 3 - 4%. We also examined the apoptotic potential of VO or VR in tumor cells from low, intermediate and high-risk CLL patients. In low and intermediate-risk CLL cells from low and intermediate-risk patients, V alone induced ~30% cell death, which increased significantly with the addition of O (VO) to between 48 - 52%. Contrastingly, the combination of VR did not induce more than 29 - 32% apoptosis. In CLL cells from high-risk patient, we noted that exposure to single agent V induced ~ 28% cell death and in VO-treated cells, this number increased to 47%. We also examined for ADCC and CDC in the same cell lines and primary CLL cells. Despite considerable variability, single agent O and VO treatment of tumor cells resulted in greater ADCC than VR treatment. By contrast, in single agent R or VR-treated cells, more CDC was observed. CONCLUSION: Our preliminary investigation in VR- and VO-treated cell lines and primary CLL cells suggests the VO combination may be superior to VR in induction of direct tumor cell death. Mechanistic experiments underway will provide further insight and can aid in design of future VO-based clinical studies in CLL. Disclosures Ailawadhi: Pharmacyclics: Research Funding; Takeda: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Amgen: Consultancy.

Abstract Background: Racial disparities in outcomes of cancer patients have been reported. Access to comprehensive cancer centers is associated with improved overall survival (OS) but racial/ethnic minorities may have a disparate access to such care. While the impact of treatment facility volume on outcomes has been evaluated, outcomes of centers with minority-predominant patient population have not been studied. We compared demographic profiles, facility level data and OS of patients treated at minority-predominant facilities to facilities that treated predominantly non-Hispanic Whites (NHW) with non-DLBCL. Methods: The National Cancer Database (NCDB) was used to identify all non-DLBCL patients diagnosed between 2004 and 2015. "Minority-treating facilities" were defined as facilities in the top decile by proportion for initial treatment of non-Hispanic African-Americans (NHAA), Hispanics and other races. We performed univariate and multivariate analyses to compare sociodemographic and clinical factors influencing outcomes between minority treating and non-minority treating facilities. A subgroup analysis stratified by race/ethnicity was also conducted to study the effect of treating facilities on the outcome of NHWs and minorities separately. Results: Of 1339 total facilities, 123 (9.1%) qualified as minority treating. Of 207,239 eligible patients in NCDB, 18,719 (9.03%) received treatment at the minority-treating facilities and of these, 11,190 (~60%) belonged to the minority races. Overall, 4.5% (6,988/156,664) NHWs and 30% (11,190/37,639) minorities received treatment at the minority-treating facilities. Several demographic and facility level characteristics were significantly different among the patients treated at minority-treating facilities as compared to non-minority treating facilities. Overall, significantly higher number of patients in minority-treating hospitals had lower income and education, had Medicaid coverage or lack of insurance. The OS of patients in minority treating facilities was significantly worse as compared to non-minority facilities (Figures). On multivariate analysis, patients who received treatment at minority-treating facilities were at 10% (HR=1.10, 95% CI: 1.06-1.14 p<0.001) higher risk of mortality as compared to those treated at the non-minority treating facilities. On multivariate analysis, NHAA (30% increased risk) and 'other races' (9% increased risk) were at significantly higher risk of mortality as compared to the NHW (Table 2). To study the effect of treatment at minority-treating facilities on OS among the patients of same race/ethnicity group, a multivariate analysis was also run separately for NHW and racial minorities. The NHWs who received treatment at minority-treating facilities were at 13% higher risk of death (HR=1.13, 95% CI: 1.08-1.19 p<0.001) as compared to NHWs who were treated at non-minority treating facilities. Similarly, the racial minorities who received treatment at minority treating facilities were at 8% higher risk of death (HR=1.08, 95% CI: 1.03-1.19 p=0.003) as compared to those who received treatment at the nonminority treating facilities. Conclusions:Outcomes of patients who received treatment at minority treating facilities was significantly worse than those at non-minority treating facilities. This was true for NHWs and racial minorities separately as well. Several demographic and facility level characteristics were significantly different in the two groups however OS remained worse after adjusting for them. Causes of poor outcomes at minority-treating facilities must be analyzed to mitigate them and improve outcomes for all. Figure. Figure. Disclosures Ailawadhi: Takeda: Consultancy; Celgene: Consultancy; Amgen: Consultancy; Janssen: Consultancy; Pharmacyclics: Research Funding.

Abstract Introduction Immunoglobulin M monoclonal gammopathy of undetermined significance (IgM MGUS) is a relatively common pre-malignant condition that may progress to Waldenstrom macroglobulinemia (WM), an incurable low-grade non-Hodgkin lymphoma. The acquisition of genomic alterations in a multistep process of progression is likely a central mechanism responsible for the progression of IgM MGUS to WM, leading to increased tumor burden and end-organ damage. The exact role of the immune system in this process is still poorly characterized. The modulation of the immune system by malignant cells leading to anti-lymphoma immunity or immune evasion is a well-stablished principle associated with lymphoma survival and progression, respectively. The understanding of the pathobiology of IgM MGUS and WM has grown significantly over the last few years; however, most of the past research has focused on genetics and flow cytometric analysis of malignant cells. The introduction of CyTOF, a novel platform coupling mass spectometry with single-cell flow cytometry using antibody-metal isotope pairs, has allowed a broader single-cell analysis and the study of functional profiles. We here report the use of CyTOF technology to comprehensively profile the immune system of patients with IgM MGUS and WM. Methods Viably-cryopreserved (DMSO 10%) single-cell suspensions containing peripheral blood mononuclear cells from 15 patients (WM n=9 and IgM MGUS n=6) were used in this study. Recovered cells (1-3 x 106 per sample) were stained with a 30-parameter surface protein CyTOF panel designed to characterize multiple cell types and profile the immune system. Nucleated cellular events were identified using a DNA intercalator conjugated to natural abundance iridium (191Ir and 193Ir). Cisplatin (195Pt) was used for dead-live cell discrimination and calibration beads containing natural abundance cerium (140/142Ce), europium (151/153Eu), holmium (165Ho), and lutetium (175/176Lu) were used for normalization of the instrument signal. CyTOF analysis of normalized files was carried out using the Astrolabe Diagnostics platform. Cell clusters were assigned using the FlowSOM package and differential abundance analysis was performed using the edgeR package. Analysis is adjusted for multiple comparisons. Results The median live single-cell count for the entire cohort was 573,300 (range 50,681 to 869,727), representing a median of 81% (range 39% to 87%) of the total event counts [median 820,800 (range 130,452 to 1,000,000]. The cell count and the proportion of event count was similar in patients with WM or IgM MGUS. T cells represented 45.8% of the total events; granulocytes represented 31.3%; NK cells represented 8.6%; monocytes represented 8.1%; B cells represented 2.4% of the total events for the entire cohort. Figure 1 shows a heat map of different immune cell sub-types proportion per patient sample. A difference was noted in the proportion of monocytes (CD14+, CD16+) and B-cells when comparing patients with IgM MGUS and WM (figure 2). Patients with WM had a higher proportion of monocytes compared to IgM MGUS patients (p=0.05). A higher proportion of B-cells was noted in patients with IgM MGUS when compared to WM (4.2% vs 0.6%, p=0.01). When B-cells were sub-classified as naïve, transitional, non-switched memory, switched memory, and plasmablasts, the proportion of non-switched memory B-cells was higher in IgM MGUS compared to WM (p=0.05). While the results of this pilot study suggest important differences between IgM MGUS and WM as regards the immune repertoire, confirmatory studies are in progress in a larger cohort of patients. Conclusion To our knowledge, this is the first study of mass cytometry in patients with WM and IgM MGUS patients. A higher proportion of monocytes and lower proportion of memory B-cells was noted in patients with WM compared to IgM MGUS. CyTOF study of the immune profile in these patients is feasible and can potentially uncover relationships between cell types not typically associated with the disease progression continuum (IgM MGUS to WM). While definitive conclusion cannot be made using this dataset due to the small sample size, CyTOF is a powerful tool in the study of the immune profile of WM patients. Disclosures Gertz: Amgen: Consultancy; Abbvie: Consultancy; Apellis: Consultancy; annexon: Consultancy; spectrum: Consultancy, Honoraria; Teva: Consultancy; Alnylam: Honoraria; Physicians Education Resource: Consultancy; Ionis: Honoraria; janssen: Consultancy; celgene: Consultancy; Prothena: Honoraria; Research to Practice: Consultancy; Medscape: Consultancy. Kapoor:Celgene: Research Funding; Takeda: Research Funding. Ailawadhi:Takeda: Consultancy; Amgen: Consultancy; Janssen: Consultancy; Celgene: Consultancy; Pharmacyclics: Research Funding. Reeder:Affimed: Research Funding. Ansell:Seattle Genetics: Research Funding; Regeneron: Research Funding; Takeda: Research Funding; Pfizer: Research Funding; Merck & Co: Research Funding; Trillium: Research Funding; Affimed: Research Funding; LAM Therapeutics: Research Funding; Celldex: Research Funding; Bristol-Myers Squibb: Research Funding.

Abstract Background: The treatment of NHL has witnessed a paradigm shift over time, with targeted immunotherapy, stem cell transplant (SCT) among others. Historically, XRT was used quite frequently for the management of NHL but with advent of better systemic therapy, its utilization has changed. Trends and patterns of care for XRT use have never been formally reported. Methods: We identified patients with NHL diagnosis in the National Cancer Database (NCDB) between years 2004 and 2015. Demographic, clinical, facility level, initial treatment and outcome data were collected. The utilization of XRT in diffuse large B-cell (DLBCL) and non-DLBCL NHL were analyzed separately by univariate and multivariate analyses. To analyze the trends in the rates of XRT, we applied segmented linear regression to calculate the average annual percent change (AAPC) and 95% confidence Interval (CI) with a 'p' value. AAPC and CIs were calculated using the segmented package in R studio v1.1.49. Rest of the analyses was conducted using StataCorp version 15.1. Results: A total of 133,182 DLBCL and 204,933 non-DLBCL patients were identified. Among patients with DLBCL, 27,895 (20.9%) patients received RT. The rate of XRT declined from 25% in 2004 to 18.4% in 2015 with estimated AAPC of -0.59% (95%CI: -0.70- -0.49), p= 0.03 (Figure 1). In a subgroup analysis, a similar decline in the rate of XRT was evident across all the age groups, combined stages I and II vs stages III and IV and nodal vs extra nodal DLBCL (Table 1). Among non DLBCL, 33,369 (16.3%) patients received XRT. There was a statistically significant decline in the rate of XRT from 18.03% in 2004 to 16.3% in 2014 with an AAPC of -0.26 (95%CI: -0.38- -0.14) p <0.001 (Figure 1). On the subgroup analysis, the utilization of XRT declined across all the studied subgroups except among patients aged 80 years and above (Table 1). On multivariate analysis, several demographic, clinical and facility level factors were found to be significantly associated with XRT utilization in NHL (Table 2). In particular, older age groups, racial/ethnic minorities, advanced stages, higher Charlson comorbidity scores and diagnosis in the more recent calendar years were associated with lesser chances of receiving RT. Extranodal DLBCL had lower utilization while extranodal non-DLBCL had increased XRT utilization. Conclusion: There has been a significant decline in the utilization of XRT among patients with NHL (DLBCL and non-DLBCL) in the US since 2004, likely due to introduction of practice changing systemic therapeutics. There is still significant heterogeneity noted in practice patterns regarding utilization of XRT across the US. Having more standardized guidelines will help streamline delivery of evidence-based patient care. Disclosures Ailawadhi: Celgene: Consultancy; Janssen: Consultancy; Amgen: Consultancy; Takeda: Consultancy; Pharmacyclics: Research Funding.

Abstract Background: CLL is the most common leukemia diagnosis in adults and its treatment has undergone significant change from chemotherapy, to immunotherapy and now targeted kinase inhibitors, leading to improved overall survival (OS). With improving survivorship, SPMs can occur but an in-depth analysis of risks and trends of SPMs in CLL survivors is lacking. We performed a population-based analysis to evaluate this. Methods: Patients in the Surveillance, Epidemiology and End Results (SEER) database diagnosed with CLL between 1973-2015 were included. Due to variation in management techniques over time, the cohort was divided in four time periods: 1973-1982, 1983-1992, 1993-2002 and 2003-2015. We evaluated differences in risk for SPMs among CLL survivors compared to risk of individual malignancies expected in the general population during these time periods and studied the effect of demographics and time since CLL diagnosis. Results: Over a nearly 270,000 person-year follow up, 6,467 new SPMs were diagnosed with a standardized incidence ratio (SIR) of 1.2 (95% CI 1.17-1.23), which resulted in a 39 excess cancers per 10,000 population. The CLL survivors had a 20% overall increased risk of developing SPMs (excluding non-squamous skin cancer) compared to the general population. The risks for both solid (SIR 1.15 CI 95% 1.12-1.18) and hematological malignancies (SIR 1.61 95% CI 1.5-1.73) was higher than the expected in the general population. However, the risk for individual cancers was heterogeneous. The tumors associated with the highest risk were Hodgkin lymphoma (almost 8 times higher), Kaposi Sarcoma (4 times), non-epithelial skin cancers (4 times), salivary gland cancer (3 times) and acute lymphocytic leukemia (3 times). In contrast, tumors in the hepatobiliary system, female breast and female genital system were associated with a lower risk than the general population. The highest SIR across the study periods was observed in the younger population (ages 15-49). Although the risk increased in all ethnicities, it was statistically significant only in Caucasians. There was no gender-wise difference in SIR during any of the four time periods. A statistically significant increase in SIR was observed for both men and women from 1973-1982 to 2003-2015. This was mostly due to an increase in risk of hematological malignancies from 1.08 early in the study to 2.56 in the most recent study period. The SIR in solid tumors did not change significantly over time; in absolute terms, however, lung carcinoma contributed the most to the excess risk, followed by non-epithelial skin cancers and non-Hodgkin's lymphoma. The risk of developing a SPM was higher for the CLL survivors during most of the latency periods, but it was statistically significant during the 2-5 months and 12-59 months after diagnosis. A multivariate analysis was conducted to evaluate the impact of period of diagnosis on the development of SPMs among these patients. After adjusting for gender, ethnicity, radiation therapy, chemotherapy, and age at diagnosis of CLL, patients diagnosed with CLL in the most recent time period were at 45% higher risk of developing SPMs as compared to the patient diagnosed during 1973-1982 (Hazard ratio(HR) =1.45 95%CI:1.34-1.6, p<0.001). Moreover increased HRs were also observed for 1983-1992 and 1993-2002 time periods (Fig. 1) Conclusions: With improving therapeutics for cancer treatment, survivorship is improving as well and the risk of SPMs needs to be better understood and addressed. This is truer for CLL, where majority of patients have a favorable survival. The risk of SPMs was 20% higher in CLL survivors than in the general population and was most prominent in the survivors aged 15-49 years at the time of CLL diagnosis. The risk of individual malignancies may be heterogenous but there has been an increase in risk of SPMs over time, mainly due to an increase of secondary hematological malignancies in recent years. Active survivorship plans and long-term surveillance for SPMs is crucial for improved outcomes of patients with a history of CLL. Disclosures Ailawadhi: Janssen: Consultancy; Celgene: Consultancy; Amgen: Consultancy; Takeda: Consultancy; Pharmacyclics: Research Funding.

Abstract Background: Clinical trials are fundamental to advance therapeutics systematically and improve patient outcomes. Despite this, enrollment on clinical trials remains dismal in the United States (US) and is a constant focus of healthcare policy. We studied distribution of clinical trials for B-cell malignancies over time across the US and unique clinical trial opportunities i.e. individual clinical trials for the given diagnosis at a site that patients may have access to participate. Methods: We abstracted data from clinicaltrials.gov for all trials that had non-Hodgkin lymphoma (NHL) or multiple myeloma (MM) as an inclusion indication between 1999-2018. Clinical trial characteristics and distribution over US geographical divisions (West, Midwest, Northeast, and South) were studied, and differences were assessed by Chi-square test. Results: A total of 1930 trials were identified (NHL: 982, MM: 948), of which 483 were recruiting at the time of data abstraction (NHL: 250, MM: 233). Over the past 2 decades, 182691 patients were enrolled on the various trials (NHL: 81592, MM: 101099). Trials by phase of study included phase 1: 629, phase 1/2: 316, phase 2: 813, phase 2/3: 11 and phase 3: 161. Number of trials by phase separated by NHL and MM are shown in Figure 1. Of these, 197 trials were randomized (NHL: 67, MM: 130). Geographical distribution of trials by diagnosis type is shown in Figure 2. A total of 31806 unique trial opportunities were noted for MM and NHL, of which 9,513 were international and 22,293 were in the US, with a geographical distribution of 5080 in West, 8198 in Midwest, 3944 in Northeast, and 5071 in South. 4,883 of the unique trial opportunities were available at NCI/NCCN accredited sites and 17,410 were at non-NCI/NCCN sites in the US. Treatment characteristics of the trials included monoclonal antibodies in 1218, other targeted agents in 2641, stem cell transplant in 526, and other agents in 517 trials with several trials utilizing more than one of these therapeutic options. There was no statistically significant difference in the distribution of clinical trials by phase of study across various US geographical regions for MM (p=0.71), NHL (p=0.98) or combined MM+NHL (p=0.16). On the other hand, unique trial opportunities were significantly different by study phase and geographical distribution for MM, NHL or MM+NHL (all p<0.001) (Figure 3). Conclusions: Widespread access to clinical trials within a cancer diagnosis is imperative for generalizability of trial results. In a comprehensive, national analysis we noted that while it may appear that clinical trials are available across the US, sites where they are open are distributed unevenly, giving rise to a disparity in access to evidence-based therapeutic advancements for patients. Disclosures Ailawadhi: Janssen: Consultancy; Amgen: Consultancy; Pharmacyclics: Research Funding; Takeda: Consultancy; Celgene: Consultancy. Sher:Affimed: Research Funding.

Abstract INTRODUCTION: Patients undergoing HSCT are reported to have a high prevalence of depression and anxiety. These comorbid mood disorders have been known to be associated with alteration in pain perception in patients without hematological malignancies. Pharmacological compounds such as opioid and benzodiazepines are frequently used to manage patient symptomology including pain and anxiety. Patients undergoing HSCT are a unique population where the impact of depression and anxiety on opioid and benzodiazepine use has not been well studied. METHODS: The study population consisted of patients who underwent HSCT at a single center for a variety of hematological malignancies from 2015-2018. Opioid and benzodiazepine exposure and dosage was defined in a) Patients who were exposed to opioid including those who were previously exposed and those who were exposed during hospitalization for HSCT b) Patients who were neither exposed to opioid previously, nor during the hospitalization for HSCT. Depression and Anxiety was defined as per PHQ-9 and GAD-7 scales prior to hospital admission. Multivariable analysis was performed to identify differences in opioid status, previous benzodiazepine use, transplant type, Karnofsky score, gender, age, race, and marital status with associated Diazepam Equivalent Daily Dosage (DEDD) (Negative Binomial Regression), and Morphine Milligram Equivalent Daily Dosages (MMEDD) (Logistic and Zero Truncated Negative Binomial Regression). RESULTS: A total of 275 patients underwent HSCT including autologous and allogeneic from 2015-2018. Anxious or depressed HSCT recipients had an increased incidence of higher DEDD with an IRR of 1.69 (95% CI: 1.15, 2.49) compared to those who were neither depressed nor anxious (Figure 1). However, patients who reported anxiety and depression did not have a different DEDD than those not anxious nor depressed. In addition, patients who were not naïve to benzodiazepine use prior to admission had an increased incidence of a higher DEDD [IRR of 2.23 (95% CI: 1.61, 3.05)]. Patients undergoing autologous stem cell transplant had a decreased incidence of receiving a higher DEDD [IRR of 0.65 (95% CI: 0.47-0.90)]. African American and other populations had a decreased incidence of receiving a higher DEDD [IRR of 0.40 (95% CI: 0.27, 0.59)]. Patients receiving higher MMEDD had a higher DEDD incidence [IRR of 1.01 (95% CI: 1.01, 1.02)]. Patients who were both anxious and depressed had increased odds of receiving an opioid [OR of 3.35 (95% CI: 1.62, 6.94)] compared to patients who were neither depressed nor anxious. However, patients who were either depressed or anxious did not have different odds of receiving an opioid compared to those who were neither depressed nor anxious. Patients undergoing autologous stem cell transplant had reduced odds of receiving an opioid [OR of 0.17 (95% CI: 0.07, 0.40)]. Patients with less than normal Karnofsky performance status (<90 on scale of 1-100) had an increased incidence of receiving a higher MMEDD [IRR of 2.34 (95% CI: 1.07, 5.12)] when modeled by Zero Truncated Negative Binomial Regression. Finally, HSCT recipients who were both anxious and depressed had reduced odds of being naïve to opioids [OR0.31 (95% CI: 0.15, 0.67)] compared to recipients who were neither depressed nor anxious. New opioid users had reduced odds of receiving a greater MMEDD [OR of 0.98 (95% CI: 0.96, 0.99)] when compared to previous users. In addition, autologous stem cell transplant recipients had reduced odds of receiving greater MMEDD compared to allogeneic transplant recipients (OR 0.33, 95% CI: 0.16, 0.66). CONCLUSION: Comorbid depression and /or anxiety impact opioid and benzodiazepine use in patients undergoing HSCT. The presence of these comorbid conditions and their association with increased use of opioids and benzodiazepines can also affect various health related outcomes. Larger studies are needed to fully understand the potential impact of this association on health related outcomes. Figure 1. Figure 1. Disclosures Kharfan-Dabaja: Incyte Corp: Speakers Bureau; Alexion Pharmaceuticals: Speakers Bureau; Seattle Genetics: Speakers Bureau. Ailawadhi:Amgen: Consultancy; Pharmacyclics: Research Funding; Celgene: Consultancy; Janssen: Consultancy; Takeda: Consultancy.

Abstract Background Multiple myeloma (MM) is the second most common hematologic malignancy in the U.S. and is characterized by increased immunoglobulin production and infiltration of the bone marrow by malignant plasma cells. Myeloma cell growth is supported by both the elements present in the bone marrow microenvironment as well as deregulation of internal cellular systems associated with proliferation and apoptosis. Defective programmed cell death by BCL2 or MCL1 upregulation is observed in >80% of myeloma cases and is associated with an aggressive clinical course. Remarkably, there is no approved drug with the ability to target BCL2 or MCL1. Various strategies to mitigate the effects of increased BCL2 functionality, via small molecule inhibitors or BCL2-specific antisense oligonucleotides have been previously examined in MM. These studies revealed that 1) apart from BCL2, additional anti-apoptotic members belonging to the BCL2 family (i.e. MCL1, BCL-xL) play integral roles in maintenance of the myeloma cell phenotype, 2) drugs, which target only BCL2 offer limited therapeutic advantage and 3) given that survival factors engaged in MM are multifactorial, perhaps isolated targeting of the BCL2 pathways may not be sufficient. We therefore hypothesized that the clinical development of drugs that target various antiapoptotic BCL2 family members will require a partnership with established anti-MM regimens whose activity can potentially be further enhanced with correction of the apoptotic response system. Aim Since lenalidomide and dexamethasone (LD) is an established therapy for plasma cell cancers, we investigated if the pan-BCL2 inhibitor AT-101 (BH3 mimetic), which has high binding specificity for BCL2, MCL1 and BCL-xL, can be an effective therapeutic partner to enhance anti-MM effects of LD. Methods Human MM (KMS11, U266, OPM2) and WM (BCWM.1) cell lines along with their corresponding bortezomib resistant (BR) clones, (KMS11/BR, U266/BR, OPM2/BR and BCWM.1/BR) which were developed in our laboratory were used in this study. For gene expression profiling, the Illumina HumanHT-12 v3 whole-genome gene expression array and Nanostring nCounter mRNA quantification assays (NanoString, Seattle, WA) were utilized. Statistical analysis was conducted using R-based packages and the MeV software (TIGR). Apoptosis was measured by annexin-v/PI staining, and mitochondrial membrane permeability (MOMP) was assessed using TMRM followed by flow cytometry. Protein profiles were ascertained by western blot. Results Gene expression and immunoblot analysis of six plasma cell cancer models showed upregulation of various BCL2 family members, notably MCL1 and BCL-xL. In a dose-dependent manner, AT-101 was able to downregulate BCL2 and MCL1 and induced apoptotic cell death in MM and WM cells in a dose dependent manner. Tumor cell death was associated with caspase and PARP-1 cleavage accompanied by an increase in MOMP. This cytotoxic effect and BCL2 downregulation were further potentiated when AT-101 was combined with lenalidomide/dexamethasone (LDA). Nanostring nCounter mRNA quantification and IPA analysis revealed differential changes in the CCNA, FRZB, FYN, IRF1, PTPN11 genes in LDA treated cells. IPA canonical pathway analysis demonstrated the p53 signaling and the cyclins and cell cycle regulation pathways to be the most significantly activated by LDA therapy. Summary In summary, we describe for the first time the cellular and molecular events associated with the use of AT-101 in combination with lenalidomide/dexamethasone in preclinical models of plasma cell malignancy. This study lays the rationale for engaging and handicapping the intrinsic apoptotic system through the pan-BCL2 targeting capabilities of AT-101; thus enhancing the anti-MM effects of lenalidomide/dexamethasone. Disclosures: Foran: Celgene: Research Funding.

Abstract Introduction: With approval of Daratumumab (Dara), targeting CD38 has become an attractive therapeutic option for various B cell cancers including WM. Using preclinical models of WM we investigated CD38 expression patterns, the impact of drug-resistance and the anti-WM effects of Dara, in vitro. An important aspect of our evaluation was the identification of optimal CD38 expression that correlates with maximal cytotoxic effects of Dara; such an approach has not been attempted previously in WM. Methods: WM cell lines (BCWM.1, MWCL.1 and RPCI.WM1) with isogenic proteasome inhibitor-resistant (CR, resistant to carfilzomib, bortezomib and ixazomib) and ibrutinib-resistant subclones (IR) were used. CD38 expression was measured by flow cytometry and a grading system was developed based on increasing CD38 MFI values with 1+= <50,000, 2+ = >50,000 and 3+ = >100,000. Daratumumab-induced specific lysis due to antibody dependent cell cytotoxicity (ADCC) or complement dependent cytotoxicity (CDC) was measured using the Calcein AM assay at an effector to target ratio (E:T) of 100:1. Peripheral blood mononuclear cells (PBMCs) and complement-containing serum were obtained from healthy human donors. Daratumumab, carfilzomib and ibrutinib were obtained from commercial sources. Results: Expression of CD38 (MFI) was highest in RPCI-WM1 (91295.6) > BCWM.1 (13865.3) > MWCL-1 (9804.19) (Figure 1A.). Intriguingly we observed an interesting change in CD38 expression with induction of drug resistance; all CR clones showed a decrease in MFI (RPCI-WM1/CR; øMFI 55960.5 > MWCL-1/CR; øMFI 3890.0 > BCWM.1/CR; øMFI 1381), while decreased expression was noted in all IR clones except one (MWCL-1/IR; øMFI 6272.96, BCWM.1/IR; øMFI 3076 vs. RPCI-WM1/IR; _MFI 461784.6) (Figure 1B). When we applied our CD38 expression grading system, RPCI-WM1/IR cells classified as Grade 3+, RPCI-WM1 and its CR clones as Grade 2+, while all other WM cells were Grade 1+. We noted that utilization of this grading system was helpful in correlating the extent of cytotoxicity to the level of CD38 expression (Table 1). We next treated WM cells with Dara and observed direct lysis in only RPCI-WM1/CR (43%) > BCWM.1/CR (19%) and RPCI-WM1 (11%) cells. However, when Dara-treated WM cells were cocultured with PBMCs, significantly increased ADCC was noted in RPCI-WM1 (90.3%), RPCI-WM1/IR (88.3%) and RPCI-WM1/CR (68.0%) cells (Figure 1C). Although CDC has been reported as a mechanism of mAb-mediated cell death in WM our evaluation of CDC as a potential effector mechanism in daratumumab-treated WM was negative as expected, highlighting ADCC rather than CDC as the primary cytotoxic mechanism. Conclusion: Our analysis of CD38 in WM preclinical models highlights several important findings: 1.) Expression of CD38 changes as WM tumor clones evolve with induction of drug-resistance; an effect that may also be cell-type specific as evidenced by increased CD38 expression in RPCI-WM1/IR cells, 2.) Daratumumab can exert a direct lethal effect in WM cells but this effect is variable and cell line dependent, 3.) Expression of CD38 is an important factor directing cytotoxicity of Dara however antigen density appears to be an important factor and a grading system can be beneficial for future preclinical and/or clinical studies, 4.) ADCC and not CDC appear to be the prominent mechanism of action and 5.) ADCC-mediated cytolytic activity of Dara is contingent on CD38 expression as evidenced by the most specific lysis being noted in CD38 Grade 2+ and 3+ expressing WM cells (Table 1.). These observations can help direct optimal design of clinical studies with Dara in WM where drug resistance and CD38 expression should be further explored as factors contributing to the clinical efficacy of this new agent. Disclosures Ailawadhi: Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Ansell:BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding.

Abstract Background: Mitochondrial activity is critical to maintain a high cellular proliferation especially in drug-resistant clones. Ibrutinib-resistance (IR) in CLL is associated with highly aggressive clinical behavior, carrying a median survival of ~3 months. While these outcomes are not yet reported in WM, resistance to ibrutinib is foreseeable considering no WM patients achieve a complete remission with BTK inhibitors (reported series). The transition to a highly proliferative drive in the IR clone remains a biological dilemma and understanding this will allow rationale development of therapeutic strategies. It is established that increased cell proliferation is highly dependent on the functional capabilities of the mitochondria. Yet the respiratory proficiencies and adaptation of mitochondrial machinery in the IR state remains unknown. Here we interrogated mitochondrial function and its relevance in IR cells using our WM models. Materials: WM cell lines (BCWM.1, non-IR) and its isogenic IR clone (BCWM.1/IR; 20-fold resistant, without BTK or CXCR4WHIM-like mutations) were used. Mitochondrial respirometry was measured by Seahorse XF96 flux analyzer (Fig. 1a). Drug sensitivity and cytotoxicity were determined by Cell-Titer Glo cell viability assay. Whole exome sequencing (WES) was performed on an Illumina HiSeq2000. Results: IR WM cells were noted to be in G1 arrest with altered morphologic features and growth kinetics. Despite growth arrest, IR cells showed increased basal oxygen consumption rate (OCR) (>30% increase) vs. parental (non-IR) cells. Consistent with this we observed enhanced mitochondrial ATP production suggesting increased mitochondrial utilization by the IR clones. We then measured maximal respiratory potential of WM cells with FCCP pre-treatment, which evaluates cellular potential to respond to increased ATP demand. We observed upregulation of mitochondrial spare respiratory capacity in BCWM.1/IR cells vs. parental BCWM.1 cell. In addition, a >50% increase in non-mitochondrial oxygen consumption/respiration was also noted (Fig.1b, c). To identify potential genomic changes that could explain mitochondrial overdrive, WES of the non-IR and IR cells was performed. Interestingly, this analysis did not uncover any mutational alterations in genes directing cellular oxidative phosphorylation (NDUF, COX1, COQ7, SURF1, etc.), glycolysis (PDK1, HK2, PKM2, ALDOA, etc.) or ATP production (ATP5, ND1, UCP1 and others). We then asked if mitochondrial function impacts therapeutic potential of a specific drug (or a class of drug), focusing specifically on proteasome disruption. First, we observed that proteasome inhibition- independent of the site (20S vs. 19S), retained high cytotoxic potential, wherein IR cells showed exquisite sensitivity to proteasome disruption. Interestingly, VLX1570 (targets 19S proteasome) had a 2-fold lower IC50 in IR clones than its non-IR counterpart. Cell respirometry demonstrated that compared to parental cells, VLX1570 (500nM) treatment significantly (p<0.002) and rapidly (2hr) attenuated basal respiration in IR clones at concentrations half of those needed to achieve similar effects in BCWM.1 cells. A concomitant decrease in ATP production as well as spare respiratory capacity was observed at these time points/drug concentrations (significantly more evident than in BCWM.1 cells). While our focus was mitochondrial bioenergetics and its therapeutic relevance in drug-resistant WM, unexpectedly we observed for the first time, evidence that VLX1570 induces changes in mitochondrial bioenergetics as early as 2hrs leading to increased mitochondrial membrane permeability and cell apoptosis in 6-12hrs. Comparable observations were made with bortezomib (targeting 20S). Conclusions: This is the first report identifying the role of mitochondrial hyper-drive in WM cells with resistance to ibrutinib. Of note, enhancedmitochondrial bioenergetics in the IR state increased sensitivity to proteasome inhibition and this was independent of the site of disruption in the proteasome pathway. Although, WES findings alone were not sufficient in explaining mitochondrial overdrive noted in our system, ongoing analysis of various mitochondrial functions (Fig. 1d) at the gene expression, copy number and epigenetic level may elucidate the underlying biomechanics of mitochondrial disposition in IR WM cells. Disclosures Ansell: BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding. Linder:Vivolux, Ab: Other: Shareholder. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy.