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Introduction: Menorrhagia is a common health problem affecting ∼5-10% of women. The optimal management of menorrhagia among women with abnormal laboratory hemostasis is uncertain. The goal of this study was to determine the effect of intranasal desmopressin (IN-DDAVP) vs. oral tranexamic acid (TA) on menstrual blood loss (MBL) and quality of life (QOL). Methods: In a cross-over study design, 117 consenting women 18–50 years of age with menorrhagia (defined as subjective report of heavy bleeding and a pictorial blood assessment chart [PBAC] score > 100) with a negative gynecological evaluation and abnormal laboratory hemostasis (62% platelet dysfunction, 15% von Willebrand disease, 23% other coagulation defect or combined) were randomly assigned to initial IN-DDAVP or TA therapy each for two menstrual cycles, followed by cross-over to the second study drug for an additional two cycles. MBL by PBAC was measured at baseline and after each menstrual cycle while QOL was assessed by four validated instruments: Health Related Quality of Life (HRQOL), SF-36®, Center for Epidemiologic Studies Depression Scale (CES-D) and the Ruta menorrhagia questionnaire. Results: There was a statistically significant decrease in the PBAC for both treatments. On average, the estimated decrease in the PBAC from baseline for IN-DDAVP was −66.0 (CI = (−89.5, −42.6)) and for TA, −107.8 (CI = (−131.5, −84.1)). The decrease in the PBAC score was larger for TA with a difference of 41.8 (p-value = 0.0002, CI = (20.4, 63.2)) between the two treatments. In the multivariable analysis, the test for treatment-cycle number interaction was not significant, suggesting no carry-over effect. The test for a treatment type effect was significant (p<0.0001) suggesting a greater reduction in PBAC score with TA compared to IN-DDAVP. Both IN-DDAVP and TA generally improved QOL as assessed by each of the four instruments. Over-all, the Ruta Menorrhagia Questionnaire and the Center for Epidemiologic Studies Depression Scale measurements showed the most statistically significant improvements. Conclusion: Both TA and IN-DDDAVP reduce MBL and improve QOL in females with menorrhagia and abnormal laboratory hemostasis.The significance of these findings are underscored by the fact that prior studies of menorrhagia treatment in these patients have not included validated QOL instruments. The marked improvement in MBL and QOL noted with TA and IN-DDAVP appears to justify hemostasis screening in women presenting with menorrhagia for whom no gynecological cause can be found.

Abstract Background Myelofibrosis (MF), polycythemia vera (PV), and essential thrombocythemia (ET) represent three of the most common Philadelphia chromosome negative myeloproliferative neoplasms (MPN). Individuals with these disorders suffer from excessive debilitating fatigue compared to age-matched controls. Although cytokine deregulation and impaired hematopoiesis contributes to the intrinsic causes of MPN-related fatigue, there may be contributory effects of underlying mood. To date few studies have prospectively evaluated the role of mood disorders on fatigue among this population. Methods A 70-item internet-based survey was developed by MPN investigators and patient/advocates and hosted by the Mayo Clinic Survey Research Center. The survey was promoted online via multiple MPN-related webpages including the MPN Forum, MPN Net, MPN Research Foundation, and MPN Voice during February/March of 2014. Surveyed data included disease demographics such as splenomegaly, thrombosis, hemorrhage transfusions, medications, and phlebotomies. The MPN-SAF (including the MPN 10), and Brief Fatigue Inventory were used to assess disease burden (Blood. 2011 14;118(2):401-8). Mental health was assessed using the Profile of Mood States (POMS-short form (J Nerv Ment Dis. 1979;167(10):612-4)), Patient Health Questionaire (PHQ-2 (Ann Fam Med. 2010. 8(4): 348–353)) and Mental Health Inventory (MHI-5 (J Consult Clin Psychol. 1983. 51;730-742)). Results Demographics: Overall 1788 MPN patients participated in the survey. Of these, 1676 consented to participate and provided additional data (answered at least 10 questions). Of these, 555 (33%) patients had ET, 651 (39.0%) have PV, and 417 (25.0%) have MF. Respondents were 68% female with a mean age of 59. Overall brief fatigue inventory score had a mean of 4.4 (range 0-10). MPN-10 score average was 28.4 (range 0-83). Psychological Comorbidities: Mental health assessments were obtained among participants. Mean PHQ-2 score was 1.6 (SD = 1.6, range 0-6.0). Twenty three percent of respondents scored greater than or equal to three on the PHQ-2 indicating a high probability of depression (mean = 1.6 (SD = 1.6, range 0-6)). Additionally, average MHI-5 score was 21.8 (SD = 4.9), with scores less than 60 likely representing a mental disorder with minimal misclassification rate (BMC Psychiatry. 2008. 19;8:10). Mean POMS-B score was 76.9 (SD=19.9, mean subscale scores: tension-anxiety 15.1, vigor-activity 6.0, fatigue-inertia 10.0, depression-dejection 15.5, confusion-bewilderment 14.3, anger-hostility 15.7). Patients frequently endorsed having being seen for or diagnosed with depression (32.0%), anxiety (29.5%), stress (26.2%), and grief (15.0%). Of participants, 22.2% had received active treatment of a mood disorder in the past 6 months. When queried on treatments of mood disorders, respondents often had received medication treatments (81.4%), counseling/therapy (40.3%), and group therapy (6.0%). Correlations: Many significant correlations were observed between MPN-SAF items and PHQ, MHI-5, and POMS-B (Table 1). When evaluating likelihood of depressive symptoms (as assessed by a PHQ), survey items including older age (p= 0.0006) and lower educational attainment (p=0.0001) were noted to have significant association with depressive symptoms . Higher BFI, MPN-10, and individual MPN-SAF scores were significantly associated with a higher likelihood of depressive symptoms (p<0.0001). Conclusions Overall many MPN patients reported having had coexisting mood disorders. The frequency of mood disturbance is likely greater than that in the general population (e.g., 11% of individuals in the primary care population have PHQ-2 greater than or equal to 3 (Ann Fam Med. 2010; 8(4): 348–353) and average control population POMS-B total mood disturbance score = 34.1 (BioPsychoSocial Medicine 2011, 5:6)). The causality of relationship between mood disorders and MPN-related fatigue severity is not entirely clear, fatigue could contribute to depressive symptoms, depression could cause fatigue, or it can be bidirectional. Thus mood disorders may represent a primary or secondary process in the disease course. Evaluation of MPN-related fatigue should be multifactorial, and should take into consideration underlying mood disorders as part of a comprehensive assessment and subsequent treatment regimen. Disclosures Harrison: Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria; CTI: Consultancy, Honoraria; Gilead: Honoraria; SBio: Consultancy; Shire: Speakers Bureau. Mesa:Incyte: Research Funding; Novartis: Consultancy; Gilead: Research Funding; Genentech: Research Funding; Promedior: Research Funding; Ns Pharma: Research Funding; Celgene: Research Funding; Lilly: Research Funding; Cti: Research Funding.

Abstract Background: PAC is an oral kinase inhibitor with specificity for JAK2, FLT3, IRAK1, and CSF1R that has demonstrated significant and sustained spleen volume reduction (SVR) and symptom control vs BAT (excluding JAK2 inhibitors) in MF pts regardless of platelet count (PERSIST-1). The PERSIST-2 study was a randomized, controlled, open-label, phase 3 trial of PAC 200 mg BID and PAC 400 mg QD vs BAT (including JAK1/JAK2 inhibitor ruxolitinib [RUX]) in pts with 10 or 20 MF whose platelet counts were ≤100,000/µL, a recognized adverse prognostic variable. Prior JAK2 inhibitor use was allowed. Methods: Pts were randomized 1:1:1 to PAC BID, PAC QD, or BAT. The co-primary efficacy endpoints were the percentages of pts achieving ≥35% SVR (MRI or CT) and ≥50% reduction in total symptom score (TSS; MPN-SAF TSS 2.0), both from baseline to Week 24. The primary objective was to compare the efficacy of pooled PAC (BID+QD) to BAT and the secondary objectives were to compare PAC BID and PAC QD individually to BAT. PK samples were collected and analyzed for PAC. Safety analyses were based on all pts exposed to study treatment of any duration (safety population); efficacy analyses were based on ITT pts with a randomization date allowing Week 24 endpoint evaluations prior to the full clinical hold* (ITT efficacy population). Results: 311 pts were randomized (107 PAC BID, 104 PAC QD, 100 BAT), 308 received study drug, and 221 were included in the ITT efficacy population (74 PAC BID, 75 PAC QD, 72 BAT). Demographics and baseline disease characteristics were generally balanced among the treatment arms (Table) and analysis populations. A total of 32 (44%) BAT pts in the ITT efficacy population received RUX as treatment at some point on study. Population PK analyses showed that the steady-state plasma levels achieved with BID were higher than with QD, however the Cmax levels were lower. A significantly higher percentage of pts in the pooled PAC arm achieved SVR ≥35% (18% [27/149]) vs the BAT arm (3% [2/72]; p=0.001; Figure 1A). 25% of PAC pts (37/149) had ≥50% reduction in TSS vs 14% of BAT pts (p=0.079; Figure 1B). In secondary analyses vs BAT, PAC BID demonstrated significant improvement over BAT for both efficacy endpoints with 22% achieving SVR ≥35% (BAT=3%; p=0.001) and 32% achieving ≥50% reduction in TSS (BAT=14%; p=0.011). The PAC QD arm had a significant SVR ≥35% (15% v 3%, respectively; p=0.017), but a similar proportion with ≥50% reduction in TSS (17% v 14%, respectively; p=0.652). More PAC pts reduced their red blood cell transfusion dependence at Week 24 (defined as a ≥50% reduction in average transfusions/month for 3 months relative to baseline) with 19% (7/37) in the PAC QD arm, 22% (8/36) in PAC BID, and 9% (3/35) in BAT. There was no significant difference observed in OS across the treatment arms (Figure 2). Hazard ratios for OS (95% confidence intervals) were 0.68 (0.30, 1.53) for PAC BID v BAT, 1.18 (0.57, 2.44) for PAC QD v BAT, and 0.61 (0.27, 1.35) for PAC BID v QD. PAC BID maintained this survival advantage vs BAT across nearly all demographic and MF-associated risk factors. During the course of the study, 10 (9%), 15 (14%), and 15 (14%) died on PAC BID, PAC QD, and BAT, respectively. The most common treatment-emergent adverse events (AEs) associated with PAC were gastrointestinal (diarrhea, nausea, vomiting) and hematologic (anemia and thrombocytopenia), and were generally less frequent for BID vs QD administration. Grade 3/4 cardiac AEs occurred in 7%, 13% and 9% of PAC BID, PAC QD, and BAT pts, respectively, and grade 3/4 bleeding AEs occurred in 14%, 7%, and 7%, respectively. Grade 3/4 bleeding AEs were associated with grade 3/4 thrombocytopenia, which was also more common in the PAC BID group. Nine pts had cardiac failure (2% PAC QD, 4% PAC BID, 3% BAT) and 1 (1%, PAC QD) had intracranial hemorrhage.* Conclusions: The PERSIST-2 study is the only randomized, controlled trial to date in pts with MF and thrombocytopenia (platelets ≤100,000/µL), allowed prior JAK2 inhibitor treatment exposure (including RUX), and allowed RUX as BAT comparator. Irrespective of prior JAK2 inhibitor treatment, both PAC arms were more effective at SVR than BAT; however, PAC BID appeared more active than QD dosing and achieved significance versus BAT for both SVR and TSS. The most frequent AEs with PAC were gastrointestinal and hematologic toxicities. *PAC on full clinical hold by the FDA on 2/8/2016 based on concerns around excess deaths and cardiac and hemorrhagic events in PERSIST-1. Disclosures Mascarenhas: Incyte: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; CTI BioPharma: Research Funding; Janssen: Research Funding; Roche: Research Funding; Promedior: Research Funding. Talpaz:CTI BioPharma: Research Funding; Pfizer: Research Funding; Incyte Corporation: Research Funding; Ariad: Other: Expense reimbursement, travel accomodation expenses, Research Funding; Gilead: Other: Travel, Accommodations, Expenses, Research Funding; BMS - Canada: Consultancy. Gerds:CTI BioPharma: Research Funding; Astra-Zeneca: Research Funding; Roche: Research Funding; Incyte: Research Funding. Stein:Incyte Corporation: Consultancy. Gupta:Incyte Corporation: Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding. Drummond:CTI BioPharma: Honoraria; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Research Funding, Speakers Bureau; Roche: Speakers Bureau. Granston:CTI BioPharma Corp.: Employment. Daly:CTI BioPharma Corp.: Employment. Dean:CTI BioPharma Corp.: Employment, Equity Ownership. Al-Fayoumi:CTI BioPharma Corp.: Employment, Equity Ownership. Callahan:CTI BioPharma: Employment. Singer:CTI BioPharma Corp.: Employment, Equity Ownership, Other: Leadership . Gotlib:Novartis: Other: Travel, Accommodations, Expenses; Steering Committee Chairman, Research Funding; Promedior: Research Funding; CTI BioPharma: Research Funding; Gilead: Research Funding; Incyte: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Research Funding. Jamieson:GSK: Research Funding; Johnson & Johnson: Research Funding; CTI BioPharma: Research Funding. Harrison:Novartis: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Research Funding, Speakers Bureau; CTI BioPharma: Consultancy, Honoraria, Speakers Bureau; Baxter: Consultancy, Honoraria; Shire: Speakers Bureau; Gilead: Speakers Bureau; Incyte: Speakers Bureau. Mesa:Novartis: Consultancy, Honoraria; Incyte: Research Funding; Gilead: Research Funding; CTI BioPharma: Research Funding; Celgene: Research Funding; Genetech: Research Funding; Promedior: Research Funding. Verstovsek:CTI BioPharma Corp: Research Funding.

Abstract Background We have previously reported on the high prevalence and severity of challenges with intimacy and sexuality amongst a large international cohort of MPN patients (Emanuel JCO 2012). We sought to further analyze the relationships between issues of intimacy (sexual desire and function), their relationships to MPN disease features, individual MPN symptom prevalence and severity, language, and overall quality of life. Methods Data was collected among an international cohort of patients with MPNs. Subjects completed the BFI, MPN-SAF, and EORTC QLQ-C30 instruments. Surveyed symptoms on the MPN-SAF included the patient’s perceptions of common MPN-related symptoms and overall quality of life (QOL) on a 0 (absent) to 10 (worst imaginable) scale. Specifically, the MPN-SAF sexuality item asked about “problems with sexual desire or function”. Total symptom score (TSS) was computed based on 10 symptom items using the published scoring algorithm on a 0 (all reported symptoms absent) to 100 (all reported symptoms worst imaginable) scale. Pairwise associations between the MPN-SAF sexuality item and continuous and categorical covariates were investigated using Pearson correlations and analysis of variance/t-tests, respectively. Multivariate regression models were used to investigate impact of groups of covariates on the sexuality item with the final multivariate model selected using forward regression. Results Demographics A total of 1908 MPN patients (essential thrombocythemia=799, polycythemia vera=671, myelofibrosis=432, missing=6) completed the sexuality item. Participants were of typical age (median=60, range 15-94) and gender (female=53%). Overall, 1218 subjects described sexuality related complaints (score >0) with an overall mean symptom score of 3.5 (median=2.0, SD=3.7, range 0-10); 725/1908 (38%) patients had severe sexuality related complaints (score >4). Univariate Analysis Among the QLQ-C30 functioning scales, all domains had similar statistically significant correlations (r=-.26 to -.32, all p<0.001). Among QLQ-C30 symptom scales, all QLQ-C30 symptoms displayed correlations ranging between .08 and .29 (all p<0.001). Among MPN-SAF items, the MPN-SAF sexuality item correlated most significantly with the TSS (r=.41, p<0.001), along with MPN-SAF symptoms (r=.16 to .39; all p<0.001). MPN-SAF sexuality measure significantly differed by anemia (means: absent 3.3, present 4.5; p<0.001), leukopenia (means: absent 3.4, present 4.4; p=0.01), thrombocytopenia (means: absent 3.3, present 4.5; p<0.001), red cell transfusion (means: no 3.5, yes 5.0; p<0.001), MPN subtype (ET mean 3.1, PV mean=3.6, MF mean=4.4; p<0.001) and language (means ranged from 2.4 [Swedish] to 4.6 [Chinese]; p<0.001). MPN-SAF sexuality did not significantly differ by age, gender, prior thrombosis or prior hemorrhage. Multivariate Analysis In a multivariate model of MPN-SAF sexuality containing all QLQ-C30 functioning scales, physical (p=0.001), emotional (p=0.01), cognitive (p=0.005) and social (p=0.002) functioning were all statistically significant. Numerous symptoms were also significant in a multivariate model of MPN-SAF sexuality containing all other MPN-SAF symptoms (all p<0.05; abdominal pain, inactivity, dizziness/vertigo/lightheadedness, insomnia, depression/sad mood, cough, night sweats and overall QOL). The final multivariate model based on forward regression starting with all demographics, clinical variables, and patient-reported QLQ-C30 scales and MPN-SAF items found age, language, QLQ-C30 role functioning and MPN-SAF items (insomnia, depression/sad mood, night sweats and QOL) to be significant (p<0.05). Conclusions Sexuality related complaints have been linked to both physiologic and psychologic origins and are highly prevalent within the MPN population. The results of this study congruently identified close associations between sexuality and function within emotional, cognitive and social domains. Additionally, the correlations of sexuality issues with MPN symptoms and disease features further suggest this item is a key correlate of overall functionality and quality of life. Future investigations into the causative factors and biological correlates of this complaint may assist in addressing this ongoing challenge. Disclosures: Etienne: novartis: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Bristol Myers Squibb: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Pfizer: Membership on an entity’s Board of Directors or advisory committees; Ariad: Membership on an entity’s Board of Directors or advisory committees. Roy:Novartis, BMS: Honoraria. Harrison:Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sanofi: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; YM Bioscience: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Celgene: Honoraria; Shire: Speakers Bureau; S Bio: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Birgegard:Vifor Pharma: Honoraria. Mesa:Eli Lilly and Co: Research Funding; Genetech: Research Funding; Gilead: Research Funding; Incyte: Research Funding; Sanofi: Research Funding; NS pharma: Research Funding; Celgene: Research Funding.

Abstract Introduction: Ibrutinib (Imbruvica®), an oral, first-in-class covalent BTK inhibitor, is a new treatment option approved by FDA for chronic lymphocytic leukemia (CLL) patients (pts) with ≥1 prior therapy. We previously reported results from the phase III trial, in which ibrutinib (ibr) significantly improved progression-free and overall survival vs ofatumumab (ofa) in pts with relapsed/refractory CLL or small lymphocytic lymphoma (SLL) (Byrd et al. NEJM, 2014). Here, we report measures of patient well-being, including hematologic, immunologic, and quality of-life parameters, at interim analysis (IA). Methods: Pts with CLL/SLL after ≥1 prior therapy were randomized 1:1 to ibr 420 mg/day until progression or unacceptable toxicity, or to ofa for up to 24 weeks. At IA, secondary efficacy endpoints of hematologic improvement (sustained improvement ≥56 days without transfusions or growth factors) and FACiT-Fatigue (FACiT-F) outcomes were analyzed, along with exploratory endpoints assessing disease-related symptoms (DRS), serum immunoglobulin, patient-reported outcomes (PROs) by EORTC QLQ-C30, and medical resource utilization (MRU). Results: Of 391 enrolled pts (ibr n=195; ofa n=196), 63% had cytopenia(s) at baseline: 45% had anemia (hemoglobin ≤11 g/dL), 35% thrombocytopenia (platelets ≤100×109/L), and 20% neutropenia (absolute neutrophil counts [ANC] ≤1.5×109/L). On the ibr arm, 69% of pts with baseline cytopenias experienced sustained improvement in blood counts compared to 43% on ofa (P<0.0001, table). There was no decrement in serum immunoglobulins (IgA, IgG, IgM) during follow-up. IgA levels increased on the ibrutinib arm only (mean change from baseline: 41% at week 24). Immune cells CD4+ and CD8+ T-cell and NK-cell levels remained relatively stable during treatment. Mean change in FACiT-F score from baseline are shown in the figure for ibr and ofa arms. At week 24, clinically meaningful (≥3 points) improvement in FACiT-F occurred in more pts on ibr than ofa (59% vs 46%, P=0.06); clinically meaningful deterioration was reported by 14% vs 24% (P=0.08), respectively. A larger proportion of ibr vs ofa pts showed clinically meaningful improvement on EORTC-QLQ-C30 global health scores (46% vs 40%). Clinically meaningful improvement (≥10 points) from baseline to week 24 in ibr vs ofa pts was observed for fatigue (median 11 vs 0). A 50% reduction in lymph node based on IRC-assessed CT was observed in 93% (177/190 evaluable) of ibr pts compared with 17% (29/174 evaluable) of ofa pts (P< 0.0001). Splenic response based on IRC-assessed CT was reported for 85% (138/163 evaluable) of ibr pts compared with 54% (82/151 evaluable) of ofa pts. Baseline DRS were comparable between groups; however, improvement by at least 1 grade (G) post-baseline was observed in ibr relative to ofa pts for weight loss (100% vs 93%), fatigue (88% vs 72%), night sweats (95% vs 86%), and anorexia (100% vs 64%), respectively. Cumulative MRU was comparable for growth factors and transfusions, with ibr pts having longer median treatment duration: 8.6 months for ibr vs 5.3 for ofa. Hospitalizations in the first 30 days occurred in 2% ibr vs 15% ofa pts. After adjusting for treatment exposure duration, diarrhea, grade 1-2 bleeding events (e.g petechiae), and atrial fibrillation were among those noted to be more frequent on the ibrutinib arm while events such as fatigue, infusion reaction, and peripheral sensory neuropathy were seen more commonly with ofa. Major hemorrhage events were uncommon, observed in 2 patients on the ibr arm vs 3 on ofa arm without adjusting for exposure time. Exposure-adjusted analysis showed no difference in any-grade infection and a 43% relative reduction for grade 3 or higher infections for ibr. Conclusions: Ibr compared to ofa when administered to previously treated CLL/SLL pts led to improvements in hematologic function and disease burden. A survival benefit with ibr, together with sustained improvements in hematologic endpoints and PRO suggest that ibr enhances quality of life while prolonging survival. Table. Sustained hematologic improvement Parameter, n (%) ITT population Pts with cytopenias at baseline Ibr n=195 Ofa n=196 P value Ibr n=195 Ofa n=196 P value Platelets 60 (31) 19 (10) <0.0001 53/74 (72) 14/64 (22) <0.0001 ANC 52 (27) 19 (10) <0.0001 26/41 (63) 12/38 (32) 0.0047 Hemoglobin 42 (22) 32 (16) 0.1883 42/89 (47) 32/86 (37) 0.1815 Figure. Improvement in FACiT-F by treatment arm. Figure. Improvement in FACiT-F by treatment arm. Disclosures Barrientos: Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Brown:Sanofi, Onyx, Vertex, Novartis, Boehringer, GSK, Roche/Genentech, Emergent, Morphosys, Celgene, Janssen, Pharmacyclics, Gilead: Consultancy. Kay:Genetech: Research Funding; Pharmacyclics: Research Funding; Hospira: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees. Coutre:Janssen, Pharmacyclics: Honoraria, Research Funding. Tam:Pharmacyclics and Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Mulligan:Roche, Abbvie: Consultancy, Honoraria. Jaeger:Janssen Cilag: Honoraria. Devereux:Pharmacyclics, Janssen: Consultancy, Honoraria. Robak:Janssen: Consultancy, Research Funding. Schuh:Roche, Gilead, GSK, NAPP, Celgene: Honoraria. Bloor:GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Dearden:Roche, GSK, Gilead, Janssen, Napp: Honoraria. Jones:Pharmacyclics: Consultancy, Research Funding. Kierschniak:Pharmacyclics, GmbH: Employment. Eckert:Pharmacyclics: Employment. Suzuki:Pharmacyclics: Employment. Hsu:Pharmacyclics: Employment. James:Pharmacyclics: Employment. Byrd:Pharmacyclics: Research Funding. Hillmen:Pharmacyclics, Janssen, Gilead, Roche: Honoraria, Research Funding.

Abstract Background:The Janus kinase (JAK) 1/JAK2 inhibitor ruxolitinib has been evaluated for patients with MF in the phase 3 COMFORT studies. In both trials, ruxolitinib prolonged OS, reduced splenomegaly, and improved MF-related symptoms and quality of life compared with controls. Here, we report the results of an exploratory pooled analysis of OS in the COMFORT studies at 5 years of follow-up. Methods: The double-blind COMFORT-I trial and the open-label COMFORT-II trial were randomized phase 3 studies that evaluated the safety and efficacy of ruxolitinib in patients with intermediate-2 (int-2) or high-risk primary MF (PMF), post-polycythemia vera MF (PPV-MF), or post-essential thrombocythemia MF (PET-MF). The comparator was placebo in COMFORT-I and best available therapy (BAT) in COMFORT-II. The ruxolitinib starting dose was 15 or 20 mg twice daily based on baseline platelet counts (100-200 and >200 × 109/L, respectively); dose modifications were permitted for safety and efficacy. Patients were allowed to cross over to ruxolitinib from the control arm for progressive splenomegaly, defined as a ≥25% increase in spleen volume from baseline (COMFORT-I) or study nadir (COMFORT-II), or select protocol-defined progression events; crossover was mandatory following treatment unblinding in COMFORT-I. OS was a secondary endpoint in both studies and was evaluated in an intent-to-treat (ITT) analysis using a Cox proportional hazard model that estimated the treatment effect stratified by clinical trial and International Prognostic Scoring System (IPSS) risk. The crossover-corrected treatment effect was estimated using a rank-preserving structural failure time (RPSFT) method. Results: Overall, 528 patients were randomized: 301 to ruxolitinib (COMFORT-I, n=155; COMFORT-II, n=146) and 227 to placebo (n=154) or BAT (n=73). All ongoing patients in the control arms crossed over to ruxolitinib by the 3-year follow-up. Patient populations were similar between the two trials and their details were previously published. In the combined ruxolitinib group, 162 patients (53.8%) had high-risk MF and 139 (46.2%) had int-2 risk MF based on IPSS criteria. At the 5-year ITT analysis, 128 patients (42.5%) died in the ruxolitinib group compared with 117 (51.5%) in the control group. The risk of death was reduced by 30% with ruxolitinib compared with control (median OS: ruxolitinib, 63.5 mo; control, 45.9 mo; HR, 0.70; 95% CI, 0.54-0.91; P=0.0065; Figure A). After correcting for crossover using RPSFT, OS advantage was more pronounced for patients originally randomized to ruxolitinib (median OS: ruxolitinib, 63.5 mo; control, 27 mo; HR, 0.35; 95% CI, 0.23-0.59; Figure B). An analysis of OS censoring patients at the time of crossover also demonstrated that ruxolitinib prolonged survival compared with control (median OS: ruxolitinib, 63.5 mo; control, 28.3 mo; HR, 0.53; 95% CI, 0.36−0.78; P=0.0013; Figure C). Among all patients treated with ruxolitinib, those with lower-risk disease had longer survival compared with those with high-risk disease (median OS: int-2, not reached [estimated, 102 mo]; high-risk, 50 mo; HR, 2.86; 95% CI, 1.95-4.20; P<0.0001; Figure D). In a subgroup analysis, OS favored ruxolitinib compared with placebo for patients with int-2 or high-risk MF (data not shown). At 5 years, median OS appeared to favor patients with int-2 (n=58) or high-risk (n=89) PMF who were originally randomized to ruxolitinib compared with historical (Cervantes et al; J Clin Oncol 30:2981-2987) controls (int-2 PMF, not reached [estimated, 70 mo] vs 48 mo; high-risk PMF, 34 vs 27 mo); OS was longer among patients with int-2 vs high-risk PMF (P=0.0003). Subgroup analyses showed that ruxolitinib provided an OS advantage regardless of age (>65 or ≤65 y), sex, disease type (PMF, PPV-MF, PET-MF), risk status (int-2 or high), JAK2V617F mutation status, baseline spleen volume (>10 or ≤10 cm), anemia, white blood cell count (>25 or ≤25 × 109L), or platelet count (>200 or ≤200 × 109/L). Conclusion: Long-term treatment with ruxolitinib up to 5 years prolonged survival in patients with MF compared with BAT or placebo. Corrections for patients who crossed over to ruxolitinib suggested that the separation between ruxolitinib and control OS curves was primarily caused by a delay in ruxolitinib treatment. The results suggest that earlier treatment with ruxolitinib may provide a greater survival advantage for patients with MF. Disclosures Gupta: Incyte Corporation: Consultancy, Research Funding; Novartis: Consultancy, Honoraria, Research Funding. Mesa:Incyte: Research Funding; Ariad: Consultancy; Novartis: Consultancy; Celgene: Research Funding; CTI: Research Funding; Promedior: Research Funding; Galena: Consultancy; Gilead: Research Funding. Vannucchi:Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Kiladjian:AOP Orphan: Research Funding; Novartis: Research Funding. Cervantes:AOP Orphan: Membership on an entity's Board of Directors or advisory committees; Baxalta: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Sun:Incyte Corporation: Employment, Equity Ownership. Gao:Incyte Corporation: Employment, Equity Ownership. Dong:Novartis Pharmaceutical Corporation: Employment, Equity Ownership. Naim:Incyte Corporation: Employment, Equity Ownership. Gopalakrishna:Novartis Pharma AG: Employment, Equity Ownership. Harrison:Incyte Corporation: Honoraria, Speakers Bureau; Baxaltra: Consultancy, Honoraria, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; CTI Biopharma: Consultancy, Honoraria, Speakers Bureau; Shire: Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding, Speakers Bureau.

Abstract Background: Cytoreductive therapy with hydroxyurea (HU) has been considered first line therapy for patients with high risk polycythemia vera (PV) and essential thrombocythemia (ET) since the results of the PVSG-08 trial demonstrated thrombotic risk reduction (Fruchtman SM et al 1997) for PV and PT1 for ET (Harrison CN et al 2005). Although HU is well tolerated by most patients and has been shown to reduce thrombotic risk in this setting, concern regarding the leukemogenic potential of this oral ribonucleotide reductase inhibitor balanced by the observation of molecular responses with interferon-α (IFN-α) led us to compare the clinical response and tolerability of pegIFN-α (PEG) and HU in a global, randomized, phase III trial. Methods : MPD-RC 112 trial (NCT01258856) enrolled patients with high risk (age >60 years, history of thrombosis, extreme thrombocytosis, symptomatic splenomegaly, uncontrolled cardiovascular risk factors), newly diagnosed (<5 years), WHO defined ET/PV that were treatment naïve (HU <3 months) and randomized (1:1) to PEG or HU. The primary endpoint was complete hematologic response (CHR) rate by European LeukemiaNet (ELN) criteria between the arms after 12 months of therapy. A planned interim analysis based on intent-to-treat with testing boundaries for efficacy and futility was conducted after 75 patients were on study for 12 months. Response assessment by ELN criteria were conducted by blinded review by 4 investigators (JM, RAM, AY, RH). Intent-to-treat analysis was conducted for efficacy endpoints (HU n=39; PEG n=36). Safety analysis included all patients who received treatment (HU n=36; PEG n=36). Results: Patients: The MPD-RC 112 trial involved 24 centers in 6 countries; enrollment began 09/2011 and concluded 7/2016 prior to full accrual due to study drug availability with 168 patients enrolled (Table 1 for 75 patients in the interim analysis). There was no imbalance between arms with respect to history of thrombosis, erythromelalgia, diabetes, hypertension, but age was significantly older on HU. This remained true when analyzing by ET/PV disease strata with the exception of diabetes which was slightly imbalanced within the PV cohort (HU 5/23, 22%; PEG 0/21, 0%; p<0.05). Response: CHR and PHR were observed in 13 (33%) and 14 (36%) patients for an overall response rate (ORR) of 69% (27/39) for HU, and 10 (28%) and 19 (53%) for an ORR of 81% (29/36) for PEG (CHR comparison p=0.60 based on z-test which did not cross either testing boundary). 10 patients randomized to HU were not evaluable for 12-month response due to never initiating treatment (n=3) or early study discontinuation for AEs (n=1), patient withdrawal (n=5), or treatment non-compliance (n=1). 3 patients were not evaluable for response on PEG due to early study discontinuation for AEs (n=1), physician decision (n=1), or patient withdrawal (n=1). Excluding patients who never initiated treatment did not impact the primary endpoint comparison (HU 13/36, 36%; PEG 10/36, 28%; p=0.45). For ET, CHR and PHR were observed in 7 (44%) and 4 (25%) patient on HU, and 6 (40%) and 6 (40%) for PEG (CHR comparison p=0.83). For PV, CHR and PHR were observed in 6 (26%) and 10 (44%) patients on HU, and 4 (19%) and 13 (62%) for PEG (CHR comparison p=0.58). Normalization of spleen by palpation at 12 months was seen in 2/7 (29%) and 5/7 (71%) of the HU and PEG treated patients with palpable spleen at baseline, respectively. Among 38 PV patients, rate of phlebotomy use at 12 months was 0/18 (0%) vs 5/20 (20%) on HU and PEG (p=0.02). From baseline to best score through 12 months, 9/28 (32%) and 12/34 (35%) patients with data on HU and PEG, respectively, had a ≥50% reduction in MPN-SAF Total Symptom Score (p=0.79). Toxicity: No Grade 4 AEs occurred in either treatment arm. Overall, Grade 3 AEs occurred in 5/36 (14%) HU patients and 16/36 (44%) PEG patients (Grade 3 hematologic: 4/36 [11%] HU vs 8/36 [22%] PEG; Grade 3 non-hematologic: 5/36 [14%] HU vs 16/36 [44%] PEG). See Table 2 for Grade 3 AEs regardless of attribution occurring in >10% of patients in either arm. Conclusions: This interim analysis does not show a clear difference in primary endpoint of CHR between HU and PEG. A comparative analysis of the quality of life and symptom burden will provide further insight into the tolerability of these agents (Mesa et al ASH 2016). The final results of this pivotal trial will provide necessary data required to firmly establish the optimal first line therapy for patients with high risk ET/PV. Disclosures Mascarenhas: CTI Biopharma: Research Funding; Janssen: Research Funding; Promedior: Research Funding; Roche: Research Funding; Novartis: Other: DSMB , Research Funding; Incyte: Other: Clinical Trial Steereing Committee, Research Funding. Mesa:Celgene: Research Funding; Promedior: Research Funding; CTI: Research Funding; Gilead: Research Funding; Incyte: Research Funding; Galena: Consultancy; Ariad: Consultancy; Novartis: Consultancy. Yacoub:Alexion: Honoraria; Seattle Genetics: Consultancy, Honoraria, Speakers Bureau; Incyte: Consultancy, Honoraria, Speakers Bureau. Harrison:Baxaltra: Consultancy, Honoraria, Speakers Bureau; Incyte Corporation: Honoraria, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; Shire: Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding, Speakers Bureau. McMullin:Novartis: Honoraria, Speakers Bureau. Vannucchi:Novartis: Honoraria, Speakers Bureau. Kiladjian:Novartis: Honoraria, Research Funding; AOP Orphan: Membership on an entity's Board of Directors or advisory committees, Research Funding. Mead:Novartis: Honoraria, Research Funding, Speakers Bureau. Kessler:Incyte: Honoraria. Ritchie:Celgene: Consultancy, Other: Travel, Accomodations, Expenses, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; Novartis: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding, Speakers Bureau; Ariad: Speakers Bureau; Pfizer: Consultancy, Research Funding; Astellas Pharma: Research Funding; Bristol-Meyers Squibb: Research Funding; NS Pharma: Research Funding. Schlenk:Amgen: Research Funding; Pfizer: Honoraria, Research Funding.

Abstract Background We have previously reported on the high prevalence and severity of insomnia amongst a large international cohort of MPN patients (Emanuel JCO 2012). We sought to further analyze the relationships between insomnia and the MPN disease features (in particular splenomegaly, status of blood counts), individual MPN symptom prevalence and severity, language, and overall quality of life. Methods Data was collected among an international cohort of patients with MPNs. Subjects completed the BFI, MPN-SAF, and EORTC QLQ-C30 instruments. Surveyed symptoms on the MPN-SAF included the patient’s perceptions of common MPN-related symptoms and overall quality of life (QOL) on a 0 (absent) to 10 (worst imaginable) scale. Specifically, the MPN-SAF insomnia item asked about “difficulty sleeping”. Total symptom score (TSS) was computed based on 10 symptom items using the published scoring algorithm on a 0 (all reported symptoms absent) to 100 (all reported symptoms worst imaginable) scale. Pairwise associations between the MPN-SAF insomnia item and continuous and categorical covariates were investigated using Pearson correlations and analysis of variance/t-tests, respectively. Multivariate regression models were used to investigate impact of groups of covariates on the insomnia item with the final multivariate model selected using forward regression. Results Demographics A total of 1992 MPN patients (essential thrombocythemia=834, polycythemia vera=703, myelofibrosis=449, unknown=6) completed the insomnia item. Participants were of typical age (median=61, range-15-94) and gender (female=54%). Overall, 1307 subjects endorsed the MPN insomnia item (score >0) with an overall mean symptom score of 3.0 (median=2.0, SD=3.1. range=0-10); 603/1992 (30%) of patients had severe insomnia related complaints (score >4). Univariate Analysis Among QLQ-C30 functioning scales, emotional functioning most highly correlated with the MPN-SAF insomnia item (r=-.47, p<0.001) with all other domains also having statistically significant but slightly weaker correlation (all p<0.001). Among QLQ-C30 symptom scales, insomnia (r=.79, p<0.001) and fatigue (r=.45, p<0.001) most highly correlated with the MPN-SAF insomnia item with all other QLQ-C30 symptoms having correlations between .13 and .37 (all p<.001). Among MPN-SAF items, the MPN-SAF insomnia item correlated with all MPN-SAF items (all p<0.001) including the TSS (r=0.55, p<0.001) and most highly with depression (r=.52, p<0.001), concentration problems (r=.43, p<0.001), overall QOL (r=.41, p<0.001), night sweats (r=.41, p<0.001), and extremity tingling (r=.40, p<0.001). MPN-SAF insomnia significantly differed by gender (means: M 2.4, F 3.4; p<0.001), language (means ranged from 2.6 [Italian] to 3.6 [German]; p=0.01), anemia (means: absent 2.8, present 3.5; p<0.001), prior hemorrhage (means: no 2.9, yes 3.7; p=0.01), and requiring red blood cell transfusion (means: no 2.9, yes 3.6; p=0.03), with a trend for a difference by MPN type (ET mean=2.7, PV mean=3.0, MF mean=3.2; p=0.06). Multivariate Analysis In a multivariate model of MPN-SAF insomnia containing all QLQ-C30 functioning scales, physical, emotional, and cognitive functioning along with global health status/QOL were all significant (all p<0.001). Numerous symptoms were also significant in a multivariate model of MPN-SAF insomnia containing all other MPN-SAF symptoms (all p<0.05: headaches, extremity tingling, depression, sexual problems, night sweats, pruritus, fever, and QOL). The final multivariate model based on forward regression starting with all demographics, clinical variables, and patient-reported QLQ-C30 scales and MPN-SAF items found age, gender, QLQ-C30 emotional functioning and MPN-SAF items to be significant. Conclusions Insomnia is highly prevalent and severe in MPN patients and closely correlates with most other MPN-related symptoms and functional domains bearing a multi-faceted impact on overall quality of life. Correlations between insomnia and emotional, cognitive, and physical complaints including depression/sad mood, concentration problems, night sweats, and numbness/tingling in the extremities suggest that the cause of MPN-related sleep complaints is likely complex. Future studies should evaluate the impact of interventions on MPN associated insomnia as well as its biological underpinnings. Disclosures: Etienne: novartis: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Bristol Myers Squibb: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Pfizer: Membership on an entity’s Board of Directors or advisory committees; Ariad: Membership on an entity’s Board of Directors or advisory committees. Roy:Novartis, BMS: Honoraria. Harrison:Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sanofi: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; YM Bioscience: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Celgene: Honoraria; Shire: Speakers Bureau; S Bio: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Birgegard:Vifor Pharma: Honoraria.

Abstract Background: The majority of pts with MF present with a mutation in exon 14 of the JAK2 gene (JAK2V617F). Studies have suggested that in pts with MF and this mutation, a lower AB is associated with a myelodepletive phenotype and shortened survival (Tefferi, Leukemia 2008; Guglielmelli Blood 2009; reviewed in Vannucchi, Ther Adv Hematol 2011). For example, in a Cox proportional hazard model for factors predictive of overall survival (OS) in pts with primary MF, a JAK2V617F AB of <25% was associated with a shortened OS (p=0.002; Guglielmelli, Blood 2009). In the phase III trials of ruxolitinib (RUX) therapy in JAK inhibitor-naïve MF, RUX-treated pts had a median decrease in AB of 16% (maximal) in COMFORT-I followed up to 216 weeks and 7% in COMFORT-II at 48 weeks. The median AB at the start of therapy was not reported for COMFORT-I and in COMFORT-II was 84.5% (Cervantes, Blood 2013; Deininger, Blood2015). Methods: In this communication, we report on clinical correlates of quantitative baseline JAK2 mutational status and the effect of treatment on JAK2V617Fmutational burden in the PERSIST-1 trial. This trial enrolled JAK inhibitor-naïve pts with primary or secondary MF without restrictions on baseline platelet counts, randomized 2:1 between PAC and BAT (excluding JAK2 inhibitors) arms. Stratifications included Dynamic International Prognostic Scoring System (DIPSS) risk category, and baseline platelet counts (<50,000/μL, 50,000-100,000/μL, >100,000/μL). Following the 24-week primary analysis, crossover was allowed by physician/pt choice and 90/107 BAT-treated pts (84%) crossed over to receive PAC. Baseline characteristics have been previously reported (Mesa, ASCO 2016) and included 203/327 (62%) pts with Primary MF, 42 (13%) with post-essential thrombocythemia MF and 81 (25%) with post-polycythemia vera MF. 320 of 327 pts had informative PCR testing for JAK2V617F. We report the baseline characteristics of pts with high (≥50%) AB of JAK2V617F, low (<50%) AB of JAK2V617Fand those without a detectable mutation at baseline (<0.1%), as well as the effect of PAC and BAT on AB and correlation with outcome measures. Results: 131 (40.9%) had AB >50% (high AB), 115 (35.9%) had an AB ≥0.1% and ≤50% (low AB), and 74 (23.1%) had AB <0.1% (wild-type JAK2). Median AB values were 80.3% for the high AB group and 30.3% for the low AB group. Baseline characteristics that were significantly different between high and low AB pts are shown in the Table. No differences were noted in the DIPSS risk category or baseline percentage of blasts between pts with low or high AB. There were a higher percentage of pts with a lower AB in the PAC arm (64% vs. 48%; p=0.01). PAC therapy resulted in a median decrement in AB at Week 24 of −15.8% vs −7.9% for pts in the BAT arm (Figure). The median greatest reduction from baseline in AB in PAC-treated pts was −31.6%. Decrease in AB was strongly correlated with spleen volume reduction (p=0.003) and trended towards correlation with improvement in total symptom score (p=0.07) in PAC-treated, but not in BAT-treated pts. Overall survival was shorter in PAC-treated pts with a minimal AB reduction vs pts with greater decreases in AB. Conclusions: In the PERSIST-1 trial, pts with a JAK2V617FAB of <50% had substantially different disease and demographic characteristics when compared with those pts with a >50% AB despite similar distribution of DIPSS scores. In this trial, reduction in AB associated with PAC, but not BAT correlated with clinical benefit. Disclosures Vannucchi: Novartis: Consultancy, Research Funding, Speakers Bureau; Baxalta: Speakers Bureau; Shire: Speakers Bureau. Mead:Baxalta: Consultancy, Honoraria. Perkins:Novartis Oncology: Consultancy, Honoraria; Bristol-Myers Squibb: Other: Travel, Accommodations, Expenses. Mayer:CTI BioPharma Corp.: Other: Travel, Accommodations, Expenses, Research Funding. Schouten:Sanofi: Consultancy; Novartis: Consultancy. Farber:Alexion: Equity Ownership; Celgene: Honoraria, Research Funding, Speakers Bureau; Genentech: Research Funding, Speakers Bureau; Acerta: Research Funding; Gilead: Research Funding, Speakers Bureau; TG Therapeutics: Research Funding; Seattle Genetics: Speakers Bureau; Pharmacyclics: Speakers Bureau. Kiladjian:Novartis: Honoraria, Research Funding; AOP Orphan: Consultancy, Research Funding. Nangalia:Novartis: Consultancy, Other: Travel, Accommodations, Expenses. Dean:CTI BioPharma Corp.: Employment, Equity Ownership. Zhou:CTI BioPharma Corp.: Employment, Equity Ownership. Singer:CTI BioPharma Corp.: Employment, Equity Ownership, Other: Leadership . Mesa:Novartis: Consultancy, Honoraria; Incyte: Research Funding; Gilead: Research Funding; CTI BioPharma: Research Funding; Celgene: Research Funding; Genetech: Research Funding; Promedior: Research Funding. Harrison:Novartis: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Research Funding, Speakers Bureau; CTI BioPharma: Consultancy, Honoraria, Speakers Bureau; Baxter: Consultancy, Honoraria; Shire: Speakers Bureau; Gilead: Speakers Bureau; Incyte: Speakers Bureau.

Abstract Backround: Dysregulation of the PI3K/Akt signal transduction pathway has been implicated in the development of a number of malignancies, including multiple myeloma (MM). This cellular signaling mechanism and its downstream targets (eg mTOR) regulate cell growth, proliferation and apoptosis. SF1126 (Semafore) is a water soluble prodrug of the pan-PI3K inhibitor, LY294002, whose anti-proliferative and pro-apoptotic activity has been well described in the literature. Preclinical studies using SF1126 in a variety of malignancies including glioma, prostate, non-small cell lung cancer, and breast cancer appear promising and have demonstrated profound antiangiogenic effects mediated through VEGF inhibition. Aim: To demonstrate in vitro anti-myeloma activity of SF1126, alone and in combination with dexamethasone, bortezomib, and melphalan and evaluate their effects on downstream targets of PI3K/Akt. Methods: MM cell lines (MM.1R, MM.1S, RPMI 8226) were treated with SF1126 (1–100uM), dexamethasone (5uM), bortezomib (5nM), melphalan (10uM) alone, and in combination. Growth inhibition following treatment was measured by MTT assay at 24 and 48 hours. Apoptosis was assessed by annexin-V binding assay using flow cytometry. Immunoblot analysis was performed to measure downstream targets of Akt including: p-PDK1 and mTOR (4E-BP1). Results: A clear dose response was established with an IC50 of 8.75uM in the MM.1R and 7.5uM in the MM.1S cell lines at 48 hours. At 24 and 48 hours, 5uM SF1126 alone resulted in 80% and 64% cell viability by MTT assay, respectively, in the MM.1R cell line. The combination of 5uM SF1126 with conventional agents was then tested in the MM.1R cell line. Combination with 5uM dexamethasone enhanced the efficacy of 5uM SF1126 by 26% at 48 hours. Combination with 10uM melphalan enhanced the efficacy of 5uM SF1126 by 20% at 24 hours. The combination with 5nM bortezomib enhanced the efficacy of 5uM SF1126 by 23% at 48 hours. Given prior experience demonstrating that short exposure to bortezomib activates Akt, we tested sequential administration of bortezomib and SF1126 in the MM.1R cell line. Optimal cell death was induced with bortezomib prior to SF1126, followed by concurrent administration. Immunoblot analysis of p-PDK1, downstream mTOR target (4E-BP1) were performed on the MM.1S cell line treated with 5, 10, 20, and 50uM SF1126 at 12 and 24 hours. At the 12 hour time point, p-PDK-1 appeared to increase, but was significantly reduced by 48 hours. A similar pattern of initial upregulation followed by reduction by 24 hours was seen with the mTOR protein 4E-BP1. Conclusion: SF1126 has dose dependent, in vitro activity in several multiple myeloma cell lines both as a single agent and in combination with dexamethasone, bortezomib, and melphalan. The addition of SF1126 to dexamethasone in a dexamethasone resistant cell line results in increased cell death, possibly by overcoming resistance mechanisms. The addition of SF1126 to bortezomib and melphalan also resulted in increased growth inhibition over either agent alone. These results warrant further study of this promising new pan-PI3K/Akt inhibitor.