Ailawadhi, Sikander

Abstract Background: ENESTop, an ongoing, single-arm, phase 2 study (ClinicalTrials.gov, NCT01698905), is the first trial specifically evaluating treatment-free remission (TFR; ie, stopping tyrosine kinase inhibitor [TKI] treatment without a loss of response) in patients with chronic myeloid leukemia in chronic phase (CML-CP) who achieved a sustained deep molecular response after switching from imatinib (IM) to nilotinib (NIL). Of 126 patients in ENESTop who were eligible to stop NIL, 57.9% (95% CI, 48.8%-66.7%) maintained TFR at 48 weeks. Here we present results from a subgroup analysis based on reasons for switching from IM to NIL, categorized as intolerance, resistance, and physician preference. Methods:Eligible patients were adults with CML-CP who received ≥ 3 years of total TKI therapy (> 4 weeks of IM, followed by ≥ 2 years of NIL) and achieved a sustained MR4.5 (BCR-ABL1 ≤ 0.0032% on the International Scale [BCR-ABL1IS]) on NIL therapy; patients with a documented MR4.5 at the time of switch from IM to NIL were not eligible. Enrolled patients continued NIL treatment in a 1-year consolidation phase, and those without confirmed loss of MR4.5 (ie, consecutive BCR-ABL1IS > 0.0032%) were eligible to stop NIL in the TFR phase. Patients with loss of major molecular response (MMR; ie, BCR-ABL1IS > 0.1%) or confirmed loss of MR4 (ie, consecutive BCR-ABL1IS > 0.01%) during the TFR phase reinitiated NIL treatment. The primary endpoint was the proportion of patients who maintained TFR (ie, no loss of MMR, confirmed loss of MR4, or treatment reinitiation) at 48 weeks after stopping NIL. In this post hoc analysis, rates of TFR at 48 weeks after stopping NIL and a Kaplan-Meier (KM) analysis of treatment-free survival (TFS; defined as the time from the start of TFR to the earliest occurrence of any of the following: loss of MMR, confirmed loss of MR4, reinitiation of NIL due to any cause, progression to accelerated phase/blast crisis, death due to any cause) were evaluated in subgroups of patients who switched from IM to NIL due to intolerance, resistance, or physician preference. These categories were determined by grouping the reasons for switching from IM to NIL, as reported by the investigators, based on relatedness to safety (intolerance), loss of response/treatment failure (resistance), and the physician's clinical judgment (physician preference); individual reasons included within each category are presented in the Figure. Results:A total of 125 patients who entered the TFR phase were included in this analysis; 1 patient who was found to have had atypical transcripts was excluded. Among these 125 patients, the reasons for switching to NIL were categorized as intolerance in 51 patients (40.8%), resistance in 30 patients (24.0%), and physician preference in 44 patients (35.2%). The proportion of patients who maintained TFR at 48 weeks after stopping NIL was generally similar across the 3 subgroups: 30 of 51 (58.8%; 95% CI, 44.2%-72.4%) in the intolerance subgroup, 16 of 30 (53.3%; 95% CI, 34.3%-71.7%) in the resistance subgroup, and 27 of 44 (61.4%; 95% CI, 45.5%-75.6%) in the physician preference subgroup. KM analysis of TFS showed that in all 3 subgroups, the majority of TFS events occurred within the first 24 weeks after stopping NIL (Figure). There were no notable differences in the kinetics of TFS events among subgroups. The KM-estimated median duration of TFS was not reached by the data cutoff date in all 3 subgroups. Conclusion: Primary analysis from ENESTop showed that among patients with CML-CP who achieved a sustained MR4.5after switching from IM to NIL, 57.9% of those who stopped NIL maintained TFR at 48 weeks. In the present analysis, TFR was maintained at 48 weeks after stopping NIL by > 50% of patients in the intolerance, resistance, and physician preference subgroups, with generally similar results across subgroups. These findings suggest that the rate of successful TFR following second-line NIL does not differ based on the reasons for switching from IM to NIL. Figure. Figure. Disclosures Hughes: Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: 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, Research Funding; Australasian Leukaemia and Lymphoma Group (ALLG): Other: Chair of the CML/MPN Disease Group. Boquimpani:Novartis: Research Funding, Speakers Bureau; BMS: Speakers Bureau. Takahashi:Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; BMS: Honoraria. Shuvaev:Pfizer: Honoraria; BMS: Honoraria; Novartis pharma: Honoraria. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Lipton:Pfizer: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Ariad: Consultancy, Research Funding. Turkina:Pfizer: Honoraria; Novartis Pharma: Honoraria; BMS: Honoraria. Moiraghi:BMS: Speakers Bureau; NOVARTIS: Speakers Bureau. Nicolini:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Honoraria; Ariad pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees. Sacha:BMS: Consultancy, Honoraria, Speakers Bureau; Incyte: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Adamed: Consultancy, Honoraria. Kim:Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; ILYANG: Consultancy, Honoraria, Research Funding. Fellague-Chebra:Novartis: Employment. Acharya:Novartis Healthcare Pvt. Ltd.: Employment. Krunic:Novartis: Employment, Equity Ownership. Jin:Novartis: Employment, Equity Ownership. Mahon:BMS: Honoraria; PFIZER: Honoraria; NOVARTIS PHARMA: Honoraria, Research Funding; ARIAD: Honoraria.

Abstract Background: ENESTop (NCT01698905) is an ongoing, single-arm, phase 2 study evaluating treatment-free remission (TFR) in patients (pts) with chronic myeloid leukemia in chronic phase (CML-CP) who achieved sustained molecular response 4.5 (MR4.5; BCR-ABL1 ≤ 0.0032% on the International Scale [BCR-ABL1IS]) on second-line nilotinib (NIL). In the primary analysis, 57.9% (95% CI, 48.8%-66.7%) of pts who stopped NIL maintained TFR (no loss of major molecular response [MMR; ie, BCR-ABL1IS > 0.1%], confirmed loss of MR4 [ie, consecutive BCR-ABL1IS > 0.01%], or treatment reinitiation) at 48 weeks. Adverse events (AEs) were reported in 73.8% of pts during the first 48 weeks of TFR vs 77.0% during the year prior to stopping treatment. The incidence of musculoskeletal pain-related AEs was higher during TFR (42.1% vs 14.3%). To assess the potential effect of stopping NIL on quality of life (QOL), pt-reported outcomes were assessed before and during TFR. Methods: ENESTop enrolled adult pts with CML-CP with ≥ 3 years of prior tyrosine kinase inhibitor (TKI) therapy (> 4 weeks of imatinib [IM], then ≥ 2 years of NIL). Pts must have achieved sustained MR4.5 on NIL after switching from IM. Enrolled pts entered a 1-year NIL treatment consolidation phase; those without confirmed loss of MR4.5 (ie, consecutive BCR-ABL1IS > 0.0032%) entered the TFR phase and stopped NIL. Pts with loss of MMR or confirmed loss of MR4 during the TFR phase reinitiated NIL. QOL was assessed via questionnaires completed by pts at specified time points. The MD Anderson Symptom Inventory for CML (MDASI-CML) questionnaire assessed, for a defined set of symptoms, the levels of severity and interference with daily life on a scale of 0 to 10, with 0 being the lowest level. The EQ-5D-5L questionnaire assessed problems experienced by pts (no, slight, moderate, severe, or extreme [ie, interfering with functioning] problems) in 5 dimensions: mobility, self-care, usual activities, anxiety/depression, and pain/discomfort; additionally, overall level of health was assessed on a scale of 0 to 100 using the EQ VAS, with 0 being the lowest level. Results: Of 163 enrolled pts, 126 met the criteria for stopping NIL in the TFR phase; of these 126, 53 had loss of MMR or confirmed loss of MR4, of whom 51 reinitiated NIL. Among pts who completed each questionnaire at week 48 of the consolidation phase, week 12 of the TFR phase, or week 48 of the TFR phase, mean MDASI-CML severity scores were 1.7, 1.5, and 1.2, respectively; mean MDASI-CML interference scores were 1.7, 1.6, and 1.4, respectively; and mean EQ VAS scores were 82.2, 78.8, and 82.3, respectively (Table). Among pts with sustained TFR and scores at both week 48 of the consolidation phase and week 12 or 48 of the TFR phase, minimal changes were observed in MDASI-CML and EQ VAS scores during TFR vs week 48 of the consolidation phase. Among pts who reinitiated NIL, mean MDASI-CML severity and interference scores and mean EQ VAS scores at 24 weeks after the start of retreatment were 1.6, 1.5, and 78.8, respectively; changes in scores between week 24 after treatment reinitiation and week 48 of the consolidation phase were minimal among pts with scores at both time points. Among pts who completed the EQ-5D-5L questionnaire, the proportions who reported problems (any level of severity) in the 5 dimensions were generally similar across time points, although problems with mobility and pain/discomfort were more common during TFR vs week 48 of the consolidation phase, particularly at week 12 of the TFR phase (Table). Conclusion: Changes in QOL after stopping NIL, as assessed using these questionnaires, were minimal. This may be related to pts having a relatively high QOL prior to stopping treatment given that they had tolerated ≥ 3 years of TKI therapy, including ≥ 2 years of NIL, prior to enrollment. Despite the higher incidence of musculoskeletal pain-related AEs observed during TFR (42.1% vs 14.3%), the overall QOL was generally similar between the TFR and consolidation phases. This suggests that these AEs did not have a significant negative impact on QOL. Longer follow-up in ENESTop will be needed to further evaluate trends in QOL after stopping second-line NIL. Disclosures Mahon: NOVARTIS PHARMA: Honoraria, Research Funding; BMS: Honoraria; ARIAD: Honoraria; PFIZER: Honoraria. Boquimpani:BMS: Speakers Bureau; Novartis: Research Funding, Speakers Bureau. Takahashi:Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; BMS: Honoraria. Shuvaev:Novartis pharma: Honoraria; Pfizer: Honoraria; BMS: Honoraria. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Lipton:Novartis: Consultancy, Research Funding; Ariad: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding. Turkina:Novartis Pharma: Honoraria; Pfizer: Honoraria; BMS: Honoraria. Moiraghi:NOVARTIS: Speakers Bureau; BMS: Speakers Bureau. Nicolini:Ariad: 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, Research Funding; BMS: Consultancy, Honoraria. Sacha:Pfizer: Consultancy, Honoraria, Speakers Bureau; Incyte: Consultancy, Honoraria, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Adamed: Consultancy, Honoraria. Kim:BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; ILYANG: Consultancy, Honoraria, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau. Fellague-Chebra:Novartis: Employment. Acharya:Novartis Healthcare Pvt. Ltd.: Employment. Brandt:Novartis: Employment. Gnanasakthy:Novartis: Consultancy, Equity Ownership, Research Funding. Jin:Novartis: Employment, Equity Ownership. Hughes:Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: 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, Research Funding.

Abstract Waldenströms Macroglobulinemia (WM) is a unique form of lymphoplasmacytic lymphoma, in which the tumor compartment is comprised of B-lymphocytes, plasmacytoid lymphocytes and plasma cells. The majority of WM cases are immunophenotypically characterized by expression of surface antigens that are present on both B-cells (CD19/20) and plasma cells (CD38/138). However, in advanced stage disease, which has been treated with various chemoimmunotherapeutics the molecular profile of WM cells can drastically shift resulting in a majority of the WM tumor compartment exhibiting loss of CD20 and concurrent upregulation of atypical surface antigens (Barakat et al, Am J Clin Pathol 2011; Morice et al Mod Pathol 2009). These external immunophenotypic changes are associated with underlying epigenetic and genomic alterations, whose integrated study may provide further insight into the biology of advanced stage WM. Moreover, such an analysis holds clinical potential by uncovering of therapeutic vulnerabilities, which can direct the selection of appropriate therapeutics for patients with CD20- WM. With this in mind, we conducted comprehensive molecular testing coupled with functional studies to understand if underlying genomic/epigenetic changes correlated with drug sensitivity using appropriate preclinical models of CD20+ WM (BCWM.1 cell line) and CD20- WM (RPCI-WM1 cell line). Importantly, the index patient from whom the CD20- cells were developed had received a total of 6 lines of treatment, two of which contained rituximab and was documented as being refractory to rituximab. Immunophenotyping of CD20- cells showed differential downregulation of 19 and upregulation of 7 CD antigens relative to CD20+ WM cells (cutoff at 1.5 fold; >20% gated expression). Upregulated antigens were associated with a phenotype reminiscent of a memory B-cell with plasmacytoid features. Next, we conducted RNA-Seq analysis (Illumina HiSeq), which revealed downregulation of 6,673 and upregulation of 4,594 genes (>1.5 fold cutoff) in CD20- WM cells compared with CD20+ cells. Gene pathway enrichment analysis (NextBio, Illumina Inc.) of mRNA differentially expressed in CD20- cells showed significant enrichment of upregulated genes corresponding to Protein Transport (p<1.8E-98) and Response to Unfolded Protein Gene Ontology groups (p<5.9E-20). Interestingly, pathway analysis of downregulated genes in CD20- WM cells showed enrichment within the B-cell receptor-signaling (BCR) pathway (Broad MSigDB) (p<6.1E-14) relative to CD20+ WM cells. BCR signaling has been linked to dysregulated expression of several micro-RNAs (miRs). Consistent with pathway analysis results, we observed decreased levels of numerous miRs (Exiqon qPCR) in CD20- vs. CD20+ WM cells, which target and regulate components involved in BCR activation. To examine further epigenetic changes that may account for decreased BCR signaling, we examined the global methylation profile (Infinium HumanMethylation 450K array) of CD20- and CD20+ WM cells and noted hypermethylation of the promoter sites (200 base pairs upstream) for a number of transcription factors involved in the BCR pathway. We therefore examined sensitivity of CD20- WM cells to the BTK inhibitor ibrutinib, which abrogates BCR signaling. As anticipated, CD20- WM cells retained >90% viability and demonstrated significantly less apoptosis in presence of ibrutinib (4uM) compared to CD20+ cells, suggesting decreased reliance on canonical BCR signaling for survival. In parallel and guided by pathway analysis results, we exposed both CD20- and CD20+ WM cells to a novel 19S proteasome inhibitor (VLX1570), which caused profound proteotoxicity and ER stress at concentrations ranging between 250 – 500nM. We noted CD20- cells were significantly more sensitive (p<0.01) to 19S proteasome inhibition than CD20+ WM cells indicating the formers critical dependence on tightly regulated protein homeostasis. In summary we describe for the first time, a comprehensive molecular and immunophenotypic investigation of CD20- WM cells compared to CD20+ WM cells, using validated preclinical models of the two disease phenotypes. Overall our data suggests significant architectural differences between CD20+ and CD20- WM, which can potentially impact the behavior of the cells and their sensitivity towards novel therapeutics being developed for treatment of advanced stage WM. Disclosures Martin: Janssen: Honoraria.

Abstract Background: We have previously reported on ethnic disparities in outcomes of multiple myeloma (MM) pts (pts) and shown that Hispanics have the shortest median overall survival (OS) and myeloma-specific survival (MMS) while Asians have the longest. Ethnic minorities are increasing in number in the United States (US) and have been historically underrepresented in population databases with limited follow up since the introduction of novel agents for MM. We did an updated analysis with longer follow up for ethnic minorities to explore the changes in outcomes by race and also explored MM incidence rates, not reported previously. Methods: Surveillance Epidemiology and End Results (SEER) 13 Registry data (1973-2013) for adult pts (>18 yr) with confirmed diagnosis of MM was utilized. To avoid bias of under representation of ethnic minorities, analysis was restricted to pts diagnosed in 1992 or later. Years of diagnosis were 1992-1995 (pre-stem cell transplant; SCT), 1996-2002 (after SCT but before novel therapeutics) and 2003-2013 (after introduction of novel therapeutics). Cases that received a diagnosis at death certificate/autopsy, without follow-up records, lacking documentation on age at diagnosis, sex, or race/ethnicity were excluded. Cox proportional hazards models were used to evaluate association between patient characteristics and survival. All statistical tests utilized the SAS software (v9.4) and were two-sided with a significance level of 0.05. Results: The final analysis included 68431 MM pts (37300 males; 55%, 31131 females; 45%). Age-group cohorts included: 18-44 yr (2519; 4%), 45-54 yr (8131; 12%), 55-64 yr (15416; 23%), 65-74 yr (20214; 30%), and ≥75 yr (22151; 32%). Mutually exclusive racial subgroups included: non-Hispanic White (NHW; 44618, 65%), non-Hispanic African-American (AA; 13164, 19%), non-Hispanic Asian/Pacific Islanders (API; 3570, 5%), Hispanic (H; 6759, 10%) and Native American (NA; 320, 0.5%). Trends in age-specific incidence rates were similar for all races but except the 20-24 yr group, were highest for AA and lowest for API. (Figure 1) Survival analysis showed that females had a better median OS (3.4 vs 3 yr; p<0.001) and MMS (4.7 vs 4.4 yr; p<0.001) than males. Age was an independent predictor of OS (p<0.001) with the median OS changing from 7.3 yr in 18-44 to 1.9 yr in ≥75 age group. Similar results were seen for age groups and MMS as well (p<0.001). During the three pre-specified time periods for year of diagnosis, both the median OS and MMS progressively improved (P<0.001) suggesting improved outcomes secondary to treatment advancements. H and AA had the worst median OS (3.1 yr) as compared to NHW and API (3.3 yr) (p<0.001) and H had the worst median MMS (4.3 yr) while API had the best (5.1 yr) (p<0.001). Survival analyses were performed for ≥75 age group separately since it was the largest and traditionally with worst outcomes. The difference in median OS by gender was still significant (p<0.001) but less pronounced (1.8 vs 1.9 yr) and was not significant for MMS (p=0.33). Due to less SCT utilization, no incremental OS or MMS benefit was seen prior to advent of novel agents but since 2003 the ≥75 group did have a small benefit for OS (2 vs 1.6 yr, p<0.001) and MMS (3 vs 2.3 yr, p<0.001). Race no longer predicted for a statistically significant OS difference (p=0.52) while for MMS, H continued to have the worst (2.5 yr) and NA the best (3.8 yr) outcome (p<0.001). 5-year relative survival rates (RSR) over time showed an incremental improvement in recent years for all racial groups except API ≥70 yr (Figure 2) with generally an increased incremental benefit for the <70 yr age group than the elderly. For majority of races no incremental benefit was seen in 5-yr RSR for ≥70 yr pts between 1992-1995 and 1996-2003 but improvement was seen in 2004-2013. Conclusions: In a fast changing US demographic mix, significant disparities for MM incidence and outcomes exist by race/ethnicity. As compared to our previous analyses, new trends have emerged with Whites having an improved median OS than AA while H continue to have the worst MMS and API the best. Differences in median OS among races are no longer significant in elderly pts. A modest benefit in OS is being seen for elderly pts since the advent of novel therapeutics. Studies of ethnic disparities are important for evaluating management needs of specific patient populations as well as optimal triaging of healthcare resources. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures Kelly: Novartis: Consultancy, Speakers Bureau; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Consultancy, Speakers Bureau. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy.

Abstract Background: Peripheral neuropathy (PN) is associated with multiple myeloma (MM) and often worsened with thalidomide (THAL) and vincristine (VCR) therapy. Bortezomib (BTZ) is a proteasome inhibitor approved for the treatment of MM that has been also shown to cause PN. An increased risk of BTZ-induced PN has been associated with the presence of both PN and diabetes mellitus (DM) before treatment. However, the incidence and characteristics of BTZ-induced PN among MM patients (pts) retreated with another BTZ-containing regimen is unknown. We analyzed the incidence, severity and risk factors for PN after treatment of MM pts with a second BTZ-containing regimen. Methods: Retrospective chart analysis. MM pts that had progressed from at least one prior BTZ-containing regimen and had received treatment with another BTZ-containing regimen were eligible. Pts had to have experienced PN during the course of the first BTZ regimen and could not have received therapy with THAL or VCR. The protocol was later amended to allow inclusion of pts without PN during their first BTZ treatment and those who had received THAL or VCR. Statistical significance was assessed using Fisher’s or McNemar’s tests as appropriate. The relationship between comorbidities, prior THAL or VCR treatment and PN grade after BTZ treatment and re-treatment was analyzed using a multivariate logistics regression model. All statistical analyses were two-sided and were performed at the 0.05 level of significance. Results: As of July 3, 2014, 83 pts have been accrued to the retrospective analysis, and 58 chart reviews have been completed. The median age of pts included in the analysis was 64 years (range: 31-84 years); 57% of the pts were male and 69% were Caucasian. Pts had received a median of 2 prior regimens (range: 2-10); 43% of the pts had received prior regimens containing THAL and 15% of those had also received therapy with VCR. Prior to the protocol amendment, the eligibility criteria required pts to have experienced PN after the first BTZ treatment; therefore, most pts included in this analysis (88%) had PN.During their first BTZ treatment, the most severe grade of PN experienced by the majority of the pts was grade 1 (N=34), followed by grade 2 (N=13) and grade 3 (N=4). A comparison of the symptoms assessed when pts had their most severe grade of PN during this treatment and the severity reported at its onset showed that PN worsened in only 16% of pts. Nearly half (48%) of pts showed no change in PN whereas symptoms improved or resolved in 15% and 9% of the pts, respectively. During treatment with the second BTZ-containing regimen, a comparable proportion of pts (N=44; 76%) reported having experienced PN. Among those experiencing PN upon re-treatment, the most severe grade of PN experienced by the majority of the pts (N=29) was also grade 1, followed by grade 2 (N=12) and grade 3 (N=3). During the second BTZ treatment, a comparison of the symptoms that pts had when PN was at its worst and those recorded at its onset demonstrated that PN worsened in only 7% of the pts. PN showed no change in 47%, improved in 15%, or resolved in 7% of the pts.Interestingly, 17% of the pts (N=10) who had reported PN while receiving their first BTZ-containing regimen did not report this complication during their second BTZ treatment, while 7% of the pts (N=4) experienced PN only upon re-exposure. There was no association between the incidence of PN during the first BTZ treatment and its incidence during re-treatment (p=0.1213) or between the severity of PN (defined as worsening vs. not worsening) after first BTZ treatment and its severity after BTZ re-exposure (p=0.1306). Fifty-four percent of the pts presented with comorbidities, including DM (26%), hypertension (HTN, 22%) and peripheral vascular disease (PVD, 13%). There were no associations between PN grade after BTZ treatment and prior THAL or VCR exposure (p=0.5569) or between PN grade and comorbidities (DM, p=0.6657; HTN, p=0.9966; PVD, p=0.9966). Similar results were found for BTZ re-exposure (THAL or VCR, p=0.8672; DM, p=0.4137; HTN, p=0.2033; PVD, p=0.9954). Conclusions: Results from this retrospective study show that the severity and incidence of PN did not change with a second BTZ-containing regimen. Comorbidities or prior therapy with other PN-inducing agents such as THAL or VCR did not significantly increase the risk of PN after BTZ re-treatment. Enrollment into the study continues and updated results will be presented at the meeting. Disclosures Berenson: Millennium: Consultancy, Honoraria, Research Funding, Speakers Bureau. Tabbara:Millennium: Speakers Bureau. Lutzky:Millennium: Speakers Bureau. Ailawadhi:Millennium: Consultancy. Moezi:Millennium: Speakers Bureau.

Abstract INTRODUCTION: Several new agents and regimens are available for the treatment of relapsed refractory multiple myeloma (RRMM). Comparison of all these is not feasible, yet therapeutic selections need to be made for optimal patient care. Both the MM-002 (Richardson et al., 2014) and MM-003 (San Miguel et al., 2013) trials have demonstrated the clinical benefits of pomalidomide plus low-dose dexamethasone (POM+LoDEX) in improving survival outcomes for patients with RRMM who had received ≥2 prior lines of therapy. Daratumumab (DARA) monotherapy was approved in the US for the treatment of RRMM patients, based on the results of a single-arm trial (SIRIUS) (Lonial et al., 2016). To date, there are no head-to-head studies comparing POM+LoDEX with DARA. We performed an indirect comparison of the overall response rate (ORR), progression-free survival (PFS), and overall survival (OS) between POM+LoDEX and DARA in RRMM patients with ≥2 (median of 5) prior lines of therapy. METHODS: Matching-adjusted indirect comparison (MAIC) (Ishak et al., 2015; Signorovitch et al., 2012) is a method used to conduct indirect comparisons between relative efficacies of treatments after adjusting for imbalances across trials where the study populations were roughly similar. To perform a MAIC, it is necessary that the selected studies are compatible. Both MM-002 and SIRIUS were phase II trials and included mainly patients from North America, while other geographic regions were more widely represented in the phase III MM-003 trial. Thus, the MAIC was conducted using individual patient data from the intention-to-treat (ITT) population of POM+LoDEX from MM-002 and published aggregate data on patient characteristics and outcomes for the ITT population of DARA from SIRIUS. A propensity-score logistic regression equation was used to re-weight the POM+LoDEX patients such that their aggregate characteristics matched exactly those in SIRIUS for all prognostic factors (i.e., full set) which were available in both studies. These factors included age, gender, race, disease duration, immunoglobulin heavy chain type, Eastern Cooperative Oncology Group (ECOG) performance status, plasmacytoma, creatinine clearance, number of prior therapy lines, prior stem cell transplantation, and refractoriness to bortezomib, lenalidomide, or both. The relative treatment effects were estimated with a weighted logistic regression model for ORR and weighted Cox regression models for PFS and OS. Sensitivity analyses were also conducted by matching on only important prognostic factors (i.e., reduced set), identified from multivariate regression analyses for each endpoint. RESULTS: MM-002 and SIRIUS were generally similar in design and had sufficient overlap in baseline characteristics to allow adjustment for potential confounding. Most prognostic factors were similar between the two arms. However, patients on POM+LoDEX had worse ECOG status, while more patients on DARA had a plasmacytoma and creatinine clearance <60 mL/min and were refractory to lenalidomide, bortezomib, or both. After re-weighting, the aggregate patient characteristics for patients receiving POM+LoDEX matched those reported for DARA. The results from the analyses adjusting for all available characteristics showed no statistically significant differences in ORR, PFS, or OS between the two treatments. Similar findings were obtained by adjusting for important prognostic factors only (Table 1). OS results should be interpreted with caution as subsequent treatments cannot be adjusted for in a MAIC analysis. CONCLUSIONS: This analysis suggests that POM+LoDEX and DARA have similar clinical benefits with respect to ORR, PFS, and OS in RRMM patients with ≥2 prior lines of therapy. Treatment choice may be made between these two based on factors other than efficacy alone. MAIC analysis may be helpful in therapeutic decisions where direct comparative trials are not available, however as with any non-randomized study potential for residual confounding may still exist. Disclosures Parikh: Celgene Corporation: Employment, Equity Ownership, Research Funding. Proskorovsky:Evidera: Employment, Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Abouzaid:Celgene Corporation: Employment, Equity Ownership, Research Funding. Krotneva:Evidera: Employment, Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Page:Evidera: Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Pelligra:Evidera: Employment, Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Guo:Celgene: Consultancy. Mouro:Celgene: Employment, Equity Ownership. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy.

Abstract Background: Pomalidomide has demonstrated excellent activity in patients with relapsed, lenalidomide refractory, multiple myeloma (MM). Between November 2007 and March 2012, we enrolled 285 patients with relapsed MM on 5 sequential phase 2 trials; patients received pomalidomide at 2mg or 4 mg daily with weekly dexamethasone (Pom/dex). The approved dose of pomalidomide is 4 mg for 21 of 28 days. We wished to compare efficacy, tolerability and long-term outcomes between cohorts treated with 2 mg or 4mg daily continuously and 4mg daily for 21/28 days. Methods: After excluding two ineligible patients, 283 patients with lenalidomide refractory, relapsed MM from 5 sequential cohorts were analyzed. These patients were divided into 3 groups: Group1 received Pom 2mg for 28/28 day cycle (N= 69), Group 2 received Pom 4 mg for 28/28 day cycle (N= 95) and Group 3 received Pom 4mg for 21/28 day cycle (N= 119). All patients received oral dexamethasone given 40 mg daily on days 1, 8, 15, and 22. Response was assessed by the IMWG Uniform Response criteria. All patients received aspirin 325 mg daily for DVT prophylaxis or full dose anticoagulation. Results: The median age was 63 years (32-85); 35% were female. The median time from diagnosis was 53 months and the median number of prior regimens was 4. 127 (46%) had high-risk molecular markers. Prior therapies (% received) included lenalidomide (100%), thalidomide (46%), bortezomib (78%), autologous stem cell transplant (71%), and allogeneic transplant (4%). The median follow-up is 16.4 months (3.2-64.4). Forty eight percent are alive and 26% remain progression free; 15 patients are continuing to receive treatment. Frequency of AEs by groups are shown in Table 1. The most notable difference is grade 3+ neutropenia seen in 39% of group 1 and 56% and 57% of groups 2 and 3. Confirmed responses of PR or better were seen in 29% (group1), 35% (group2) and 24% (group3). Median duration of response (DOR) was 14.1 months (group1), 14.5 months (group2) and 10.2 months (group3). Median PFS was 5.5 months (group1), 6.9 months (group2) and 4.3 months (group3). Although the dose level cohorts were sequential rather than randomized, we compared OS between the dose levels in an exploratory manner. There was no significant difference in OS between dose levels (p=0.26). Median overall survival (OS) was 16.6 months (group1), 21.9 months (group2) and 16.0 months (group3). Conclusions: Pom/dex is active and well tolerated even in heavily pretreated patients Responses are durable. Response rates and overall toxicity are similar between the 2 mg and 4 mg doses. Neutropenia is more common in those receiving doses of 4mg daily or for 21/28 days compared to those receiving 2 mg daily. Table 1. All Grades Grade 3+ 2mg 28 Day 4mg 28 Day 4mg 21 Day 2mg 28 Day 4mg 28 Day 4mg 21 Day Anemia 68% 58% 74% 14% 15% 27% Lymphopenia 22% 51% 11% 16% 32% 8% Neutropenia 71% 82% 77% 39% 57% 56% Thrombocytopenia 51% 61% 63% 10% 9% 23% Leukopenia 59% 77% 72% 26% 38% 39% Pneumonia 7% 11% 12% 6% 7% 11% Fatigue 51% 65% 60% 9% 5% 8% Neuropathy 28% 32% 28% 0% 3% 0% Elevated Blood Glucose 10% 21% 8% 4% 6% 3% Pneumonitis 3% 2% 3% 3% 1% 1% VTE (Thrombosis) 3% 3% 3% 1% 3% 3% Secondary Malignancy 0% 2% 1% 0% 2% 1% Figure1. Kaplan Meier Overall Survival Curves Figure1. Kaplan Meier Overall Survival Curves Disclosures Lacy: Celgene: Research Funding. Fonseca:Medtronic, Otsuka, Celgene, Genzyme, BMS, Lilly, Onyx, Binding Site, Millennium, AMGEN: Consultancy, patent for the prognostication of MM based on genetic categorization of the disease. He also has sponsored research from Cylene and Onyx Other, Research Funding. Bergsagel:Novartis: Research Funding; Constellation Pharmaceutical: Research Funding; OncoEthix: Research Funding; MundiPharma: Research Funding. Stewart:Novartis: Consultancy; Celgene: Consultancy; Bristol Myers Squibb: Consultancy; Array BioPharma: Consultancy; Sanofi: Consultancy; Takeda Pharmaceuticals International Co.: Research Funding. Reeder:Millennium, Celgene, Novartis: Research Funding. Mikhael:Onyx: Research Funding; Celgene: Research Funding; Sanofi: Research Funding; Novartis: Research Funding.

Abstract Background: As a single agent, rituximab produces an overall response rate (ORR) of 20-50% in patients with relapsed/refractory (r/r) B-cell non-Hodgkin lymphomas (NHL). Acquired resistance occurs, however, partially due to defective host immune effector mechanisms. Efforts to augment immune function have included combining rituximab with immune modulators such as IL-2, IL-12, interferonand lenalidomide. These efforts have resulted in improved efficacy of rituximab. Ipilimumab is a human IgG1κ monoclonal antibody (mAb) specific for the cytotoxic T lymphocyte-associated antigen-4 (CTLA-4, CD152) expressed on activated T cells. CTLA-4 is a negative regulator of T-cell responses. Ipilimumab augments the immune response by disrupting the interaction of CTLA-4 with its ligands, B7-1 (CD80) and B7-2 (CD86). We therefore hypothesize that ipilimumab will augment the efficacy of rituximab. This phase I with an expansion cohort was designed to assess the safety of this combined therapy. Methods: Patients ≥ 18 years old with r/r CD20+ NHL, measurable disease, KPS ≥ 70%, neutrophils ≥ 1000, platelets ≥ 50,000 and adequate kidney and liver function were eligible. In this phase I with an expansion cohort, after establishing the recommended Phase II dose (RP2D), study patients would be randomized to differing treatment schedules of rituximab and ipilimumab. For induction in phase I, rituximab was given every week for four weeks and ipilimumab was administered every 3 weeks for 4 doses. Primary endpoints included toxicity and determination of the maximum tolerated dose (MTD)/RP2D during the first 7 weeks of induction of ipilimumab (2 doses) when given in combination with rituximab (4 doses, 375mg/m2 per dose). Secondary end points included immune response, ORR and progression free survival (PFS). In the phase I component, a standard 3+3 design was used to determine the MTD/RP2D. After the RP2D was established, 20 more patients would be randomized to one of two schedules: Arm A - ipilimumab on Day 1 together with the first dose of rituximab, or Arm B - ipilimumab on Day 15 together with the third rituximab dose. After induction in both the Phase I and the expansion cohorts, ipilimumab and rituximab were given every 12 weeks (+/- 1 week) on the same day for 1 year. Results: As of August 1 2015, 21 patients have been enrolled (1SLL, 9FL, 6DLCL, 1MCL, 4 indeterminate): 15 are evaluable for toxicity assessment at 7 weeks. The median age was 62 (32-71) and the median number of prior regimens was 2 (1-6). The RP2D of ipilimumab when given with rituximab (375 mg/m2) was 3 mg/kg, which was the highest dose tested. The most common grade 1-2 AEs (>20%) were:anemia (33%); diarrhea (20%); constipation (27%); nausea/vomiting (33%); fatigue (40%); anorexia (33%); low albumin (53%); hypocalcemia (33%); hyponatremia (27%). The most common grade 3-4 AEs (≥ 5%) were: anemia (20%); diarrhea (13%); leukopenia (13%); and hyponatremia (27%). There were no study related deaths. Twelve patients remain on treatment, 6 came off due to progression, 2 due to toxicity, and there was one death (unrelated). Conclusion: The RP2D of ipilimumab when given in combination with rituximab is 3 mg/kg. This dose is safe and moderately well tolerated. Enrollment continues in the expansion cohort to assess efficacy and the ability of ipilimumab to augment the rituximab-mediated immune response. Disclosures Off Label Use: Ipilimumab to augment rituxan in treating lymphoma. Chen:Merck: Consultancy, Research Funding; genentech: Consultancy, Speakers Bureau; Millennium: Consultancy, Research Funding, Speakers Bureau; Seattle Genetics: Consultancy, Research Funding, Speakers Bureau.

Abstract Background: Persons of African ancestry (AA) have a 2-3-fold higher risk of multiple myeloma (MM) than persons of European ancestry (EA). Like other B-cell malignancies, genome-wide association scans (GWAS) have identified MM risk variants in the HLA region in persons of EA. We conducted a case-control analysis with data from the National Marrow Donor Program (NMDP)1comprising MM patients typed for bone marrow transplant to donor controls matched by race-ethnicity, and found associations between specific HLA alleles/haplotypes and MM risk that varied by race and ethnicity. To confirm our results and identify additional novel signals, we have now investigated associations between HLA alleles and haplotypes and MM risk in the African American Multiple Myeloma Study (AAMMS) Cohort. Methods: The source of subjects was the AAMMS, in which AA MM patients were identified from 10 cancer centers and 4 Surveillance, Epidemiology and End-Results (SEER) Program cancer registries in order to identify genetic risk factors for MM among AAs. A GWAS was conducted using the Illumina Human Core BeadChip array on DNA samples from 1,305 AA MM patients in the AAMMS comparing results to those from 7,078 AA controls with GWAS data generated from the Illumina 1MDuo2. The major histocompatibility complex (MHC) region single nucleotide polymorphisms (SNPs) were imputed to classical HLA variants using HIBAG. Unconditional logistic regression was used to estimate HLA associations, adjusting for sex, age and the first 2 principal components. P-values were adjusted for false discovery rate (FDR) for each locus group. Results: We did not identify any single HLA alleles associated with MM risk among AAs. However, several B*07:02-containing haplotypes were associated with MM risk (odds ratios [OR] ranging from 2.38 to 2.64 and FDR P-values ranging from 1.43 x 10-6 to 3.57 x 10-8). We found associations between MM risk and genotypes containing DRB3*02:02, including DRB3*02:02~DRB1*11:01+ DRB3*02:02~DRB1*11:01 (OR=1.93, PFDR= 9.36 x 10-5) similar to those observed in the NMDP study1. Novel findings included associations between MM risk and HLA Class I haplotypes B*53:01+ B*57:01 (OR=1.94, PFDR= 0.003) and C04:01~B*53:01+C*06:02~B*57:01 (OR=1.96, PFDR= 0.0050). Results from an ongoing meta-analysis between the two data sets (one based on an imputed GWAS and one based on NMDP HLA typing) will be presented. Conclusions: This study is the second to examine HLA alleles and risk of MM among AA's and is by far the largest. We confirmed a previously observed association between an HLA Class II DRB3 variant and MM risk and confirmed an association with B*07 haplotypes previously observed among EAs1. We also identified novel associations between other HLA Class I haplotypes and MM risk in AA's. Because HLA is highly polymorphic, many HLA alleles are rare variants for which genetic associations are difficult to detect without very large sample sizes. Further investigation with large sample sizes will be necessary to refine these associations in order to better identify the underlying causal alleles and determine the functional significance of these HLA associations. 1Beksac M, Gragert L, Fingerson S, et al.: HLA polymorphism and risk of multiple myeloma.Leukemia. 2016 Jul 27. doi: 10.1038/leu.2016.199. 2Rand KA, Song C, Hwang AE, et al. Genetic susceptibility markers of multiple myeloma in African-Americans. Abstract # 2030, 56th Annual American Society of Hematology Meeting, San Francisco, California, 2014. Disclosures Ailawadhi: Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Nooka:Spectrum, Novartis, Onyx pharmaceuticals: Consultancy. Zonder:Pharmacyclics: Other: DSMC membership; Prothena: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Lonial:BMS: Consultancy; Novartis: Consultancy; Millenium: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Merck: Consultancy; Celgene: Consultancy; BMS: Consultancy; Novartis: Consultancy; Onyx: Consultancy; Janssen: Consultancy; Onyx: Consultancy.

Abstract Background: Cancer diagnosis and treatment are important risk factors for developing clinical depression. Validated tools for screening distress and depression, such as Cancer Distress Thermometer (DT) and PHQ9 (Patient Health Questionnaire), are underutilized, despite endorsement by NCCN and Institute of Medicine. We investigated patient and treatment characteristics as well as patient endorsement of depression or anhedonia to predict those at risk of having depression. Methods: The PHQ9 and/or DT were administered prospectively to patients with hematologic malignancies (HM) before they started antineoplastic therapy at Mayo Clinic in Florida. Patient endorsement of depression or anhedonia was collected from the current visit information survey. Patient demographics, disease and treatment characteristics, chronic medication burden, Charlson comorbidity index, living situation, clinic/hospital visit burden in the month prior to screening and number of psychiatric medications for every patient were recorded. Intergroup comparison of categorical and continuous variables was done by Chi-square and Wilcoxon rank-sum tests, respectively. Linear or logistic regression models were used to compare PHQ9 score with DT (continuous) or endorsing depression or anhedonia (categorical) respectively. Multivariate models were constructed using the stepwise selection technique using all potential variables in the models. All analyses were completed using SAS v9.3. Results: Final analysis included 246 patients with a median age at diagnosis 64.5 (range: 18-94) years, diagnosed between 6/30/93-10/9/14 and screened between 1/13/11-2/13/15. PHQ9 score of ≥9 and DT score ≥5 suggested a high risk of depression and distress, respectively, as per published literature. Patient characteristics at time of survey and analysis are noted in table 1. PHQ9, DT and answers to two questions about depression and anhedonia were available on 129, 129 and 246 patients, respectively. 63% of patients were chemotherapy naïve. In multivariate analysis, PHQ9 score ≥9 was associated with living alone (p=0.003) (Fig.1a) and non-White race (p=0.043) (Fig.1b), while a DT score ≥5 was associated with being currently married (p=0.048) and female gender (p=0.02). The only characteristic significant on univariate but not on multivariate analysis being chemotherapy naive, associated with a DT score ≥5 (p=0.049). Answering "no" to both the questions regarding depression or anhedonia was significantly associated with a low score on PHQ9 (p=0.007). Age at diagnosis, Charlson comorbidity score, chronic medication or visit burden, daily psychiatric medication use or type of malignancy were not associated with scores on any screen. Conclusions: Causes of depression in patients with HM have not been fully explored. We validated previously known risk factors for depression, such as living alone. We also reported for the first time that non-White race independently predicts depression in these patients. Female patients and those currently married are at a higher risk of psychological distress, possibly due to fear of abandoning family. We also found that simply asking a patient two questions about feelings of depression or anhedonia significantly correlates with the well-established PHQ9. Our analysis provides simple tools and reveals at-risk patient subgroups with HM where depression and distress screening should be aggressively instituted for better resource utilization and survivorship. Table 1. Patient Characteristic N % Gender Male Female 146 100 59.4 40.6 Race White Non-White 216 30 87.8 12.2 Marital Status Married Not married* 180 66 73.2 26.8 Living Situation Alone With others 37 209 15 85 Type of Malignancy Aggressive lymphoid Indolent lymphoid Aggressive myeloid Indolent myeloid 124 94 25 3 50.4 38.2 10.2 1.2 Prior Cancer Treatment Yes No 91 155 37 63 Daily Psych Meds Yes No 52 194 21.1 78.9 Patient Status Alive Dead 191 55 77.6 22.4 *Not currently married=single, divorced, widowed or unknown Disclosures No relevant conflicts of interest to declare.