Citations

Abstract Introduction: Approximately 75% of myelofibrosis (MF) patients develop anemia during evolution of the disease process predicting decreased survival. Previous studies exploring the effect of danazol in the treatment of anemia in MF demonstrate responses in anemia of 30-55%. Ruxolitinib has demonstrated improvement in MF related splenomegaly, symptom burden, and even survival yet improvements in cytopenias are uncommon. We designed a phase II multicenter pilot study to evaluate the efficacy and tolerability of combination therapy with ruxolitinib and danazol in MF patients with anemia. Methods: This is a pre-planned interim analysis of a Simon optimum two-stage phase II trial designed to include a minimum of 10 and a maximum of 27 patients. Participants received ruxolitinib 10mg (plat >75 x10x9) BID or 5mg (plat <75 x10 x9) BID with danazol 200mg orally TID. Dose escalation was allowed after completion of 28 days for lack of response or for disease progression. Patients without progression were continued for 6 cycles at 56 days each. Treatment modifications were based on adverse events including thrombocytopenia, leukopenia, and elevation in creatinine and transaminases. Treatment responses were evaluated by the IWG-MRT response criteria (Blood 2013). Patient reported outcome questionnaires (MPN-SAF and EORTC QLQ-C30) were administered at baseline, prior to treatment cycles, and at study discontinuation. Results: Patients: Ten of the 12 evaluable patients enrolled (median age 70.5, range 57-78, M:F ratio 4:1) are included in this analysis. Eight patients had primary MF (PMF), 1 had post essential thrombocytosis (ET) MF, and 1 had post polycythemia vera (PV) MF. Jak2 V617F mutation was positive in 30%. At the time of enrollment 40% had received an erythrocyte transfusion in the last month and all were DIPSS Int-2 or higher. Median baseline hemoglobin was 9.0 g/dL (range 8.3 - 12.4). Median baseline platelet level was 172 x10 (9)/L (range 56 - 346). Most (90%) had received prior therapy and many were refractory to multiple lines of therapy prior to enrollment. Three (30%) patients had previously participated in a JAK inhibitor clinical trial. Tolerability: Among 6 patients who have completed treatment, median duration of treatment was 39 days (range 24-287) with treatment discontinuation due to progression of disease in 2 patients, allogeneic stem cell transplant in 1, alternative treatment in 1, unrelated adverse event (hyponatremia) in 1, and unrelated death (leukemic transformation with intracranial hemorrhage) in 1. Hematologic Grade 3 or > adverse events included anemia (60%), neutropenia (20%), and leukopenia (10%). Non-hematologic Grade 3 or > adverse events included electrolyte abnormalities (20%), edema (10%), infection (10%), and intracranial hemorrhage (10%). Efficacy: Treatment response per IWG-MRT response criteria included stable disease (SD) in 8/10 (80%), clinical improvement in 1/10 (10%), and progressive disease (PD) in 1 (10%). The median change in hemoglobin and platelet count from baseline was -0.05 g/dL (range -0.5 - 1.8) and 28.5 x10(9)/L (range -143 – 118) respectively, however 4/10 (40%) and 7/10 (70%) had improvement at some point during treatment in level of anemia and/or thrombocytopenia. The median follow-up time was 2 months (range 0.9-9.4). Among 6 patients with a baseline and at least one post-baseline MPN-SAF TSS, 2/6 (30%) of patients had at least a 10-point (clinically meaningful) improvement, with 1 of the 2 achieving the stricter 50% improvement from baseline. Responses might have been confounded due to impact of prior therapies. Conclusions: On interim analysis, ruxolitinib and danazol combination therapy demonstrates modest additional clinical benefit, however in a group of exceedingly high risk MF patients with significant anemia and prior single agent JAK inhibitor failures. Preliminary data suggests improvement in anemia and/or thrombocytopenia in some treated patients however only one clinical improvement per IWG-MRT criteria was observed. Combination therapy was well tolerated with no major incremental toxicity attributable to the addition of danazol. Maturation of data is needed to fully evaluate efficacy of ruxolitinib and danazol combination therapy prior to continuation of accrual. Disclosures Mascarenhas: Incyte Corporation: Consultancy, Research Funding; Novartis Pharmaceuticals Corporation: Research Funding. Reeder:Millennium, Celgene, Novartis: Research Funding. Tibes:Seattle Genetics, Inc.: Research Funding. 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: Phlebotomy to maintain hematocrit <45% is considered one of the cornerstones for the management of polycythemia vera (PV). However, phlebotomy procedures may be inconvenient for or poorly tolerated by some patients, and often result in iron deficiency, which may be associated with additional quality-of-life burden, such as fatigue, impaired cognitive function and restless leg syndrome. The REVEAL study (ClinicalTrials.gov, NCT02252159) is being conducted to describe contemporary demographics, burden of disease, clinical management, patient-reported outcomes, and healthcare resource utilization among patients with PV in the US. This early analysis describes the patient self-reported burden of phlebotomy at the time of enrollment. Methods: REVEAL is a multicenter, noninterventional, nonrandomized, prospective, observational study of adult patients with PV who are currently under the care of a US physician. REVEAL collects physician assessments and patient-reported outcomes during a 36-month observation period. Phlebotomy-related burden is being assessed with a new 21-item phlebotomy burden questionnaire (PBQ-21) at enrollment and every 90 days thereafter; it assesses patient-reported phlebotomy frequency, practice setting, time required for phlebotomy, inconvenience, and phlebotomy-related adverse effects. Phlebotomy-related effects and bother/inconvenience (if experienced within 24 hours after a phlebotomy procedure) are graded on a 4-point scale of 1 (not at all) to 4 (extremely). Analyses of these preliminary data were descriptive. Results: At the time of data cutoff, 865 patients were enrolled (total planned enrollment, n=2000). Median age was 67 (range, 22-95) years, 55.5% were male, and 89.5% were white. Median time from PV diagnosis to study enrollment was 53 months. Overall, 748 patients completed the PBQ-21 at enrollment and 400 (53.5%) had received a phlebotomy within 3 months prior to enrollment. Mean number of phlebotomies in the past 3 months was 2.2 (SD, 1.7). Phlebotomy was most commonly performed at a doctor's office during a regular medical visit (37.8%), at an infusion center or special cancer care center (26.8%), or at a hospital (18.3%). Patients who had phlebotomy procedures within 90 days before enrollment reported a mean total treatment time of 4.2 (SD, 4.7) hours per phlebotomy procedure; for employed patients, the mean amount of work time missed was 4.6 (SD, 15.6) hours per procedure. Fatigue, bruising, dehydration, and dizziness were among the most commonly reported adverse effects of phlebotomy (Table 1). Twenty percent of patients reported that phlebotomy procedures were moderately or extremely bothersome, inconvenient (18.3%), or painful or physically uncomfortable (16.3%). Furthermore, some patients (8.8%) reported that their family and friends were moderately or severely inconvenienced by phlebotomy procedures. Conclusion: The PBQ-21 collects important and relevant patient-reported information to systematically assess the impact of phlebotomy on patients and caregivers. From the early view of REVEAL enrollment data, a considerable proportion of patients reported fatigue, bruising, dehydration, and dizziness resulting from phlebotomy procedures. Furthermore, patients reported spending a considerable amount of time (4 hours on average) per phlebotomy procedure, which is a sizeable burden for patients who are employed. In addition, some patients reported that phlebotomy procedures may be inconvenient, painful or uncomfortable, and bothersome. REVEAL provides important information for providers to understand and address when to prescribe phlebotomy for patients with PV. Disclosures Boccia: Incyte Corporation: Honoraria. Stein:Incyte Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees. Mesa:Genentech: Research Funding; Promedior: Research Funding; NS Pharma: Research Funding; CTI Biopharma: Research Funding; Gilead: Research Funding; Incyte Corporation: Research Funding; Novartis Pharmaceuticals Corporation: Consultancy; Pfizer: Research Funding. Naim:Incyte Corporation: Employment, Equity Ownership. Cordaro:Incyte Corporation: Employment, Equity Ownership. Peng:Incyte Corporation: Employment, Equity Ownership. Sun:Incyte Corporation: Employment, Equity Ownership. Parasuraman:Incyte Corporation: Employment, Equity Ownership. Moliterno:Incyte Corporation: Membership on an entity's Board of Directors or advisory committees.

Abstract Background: Phlebotomy is a common and established treatment in patients diagnosed with polycythemia vera (PV) to reduce the risk of thromboembolic events, in both acute and chronic settings. However, phlebotomy may not alleviate all PV-related symptoms and its frequent application can cause moderate to profound iron deficiency, which may worsen PV-related symptoms. This analysis of MPN Landmark survey data examined patient-reported quality of life (QoL) and productivity outcomes in patients with PV based on phlebotomy treatment history. Methods: Patients who were diagnosed with a myeloproliferative neoplasm (MPN) were recruited to participate in the MPN Landmark survey in the US (fielded May - July 2014). This analysis describes responses from patients with PV on questions regarding PV-related symptom burden, QoL, and productivity. Patient responses were analyzed based on phlebotomy treatment history and included patients who were actively receiving phlebotomy within the last 3 months (≥1 per month, every other month, and every 3 months or longer), had discontinued phlebotomy, or were phlebotomy-naive. Descriptive statistical analyses were used to evaluate these outcomes based on phlebotomy frequency, as appropriate. Results: Overall, 813 patients completed the Landmark survey, and 274 out of the 380 patients with PV who completed the survey were evaluable for this analysis. Mean age ranged from 61.6-65.4 years among phlebotomy subgroups (Table 1). The average duration of PV was longest among patients with PV who had discontinued phlebotomy (12.0 years) compared with phlebotomy-naive patients (6.3 years) and patients actively treated with phlebotomy (5.9-8.9 years). The percentage of patients diagnosed within 1 year of the survey ranged from 4.1% to 11.5% among the patients who had been treated with phlebotomy and was 15.4% in the phlebotomy-naive subgroup. Most patients reported PV-related symptoms; symptom burden was similar in all phlebotomy subgroups. Fatigue was the most common symptom reported in all subgroups (range, 71.4%-80.8%). QoL measures were generally worse with higher phlebotomy frequency (Table 1). Similarly, more frequent phlebotomy procedures was found to be associated with reduced productivity: patients who received ≥1 phlebotomy per month had the highest mean number (in the preceding 30 days) of sick days (among patients employed), days spent in bed, and days with plans canceled. Of note, approximately one third of patients receiving more frequent phlebotomy procedures were also receiving concomitant hydroxyurea to manage their PV (≥1 per month, 38.5%; every other month, 36.4%). Conclusion: Patients with PV may experience disease-related symptoms and reductions in QoL and work productivity. Frequent phlebotomy procedures were associated with increasingly worsened QoL and decreased work productivity. Further research is needed to better understand the impact of phlebotomy on patient-reported outcomes in patients with PV. Disclosures Fazal: Bristol Myers Squibb: Consultancy, Honoraria, Speakers Bureau; Pfizer: Honoraria, Speakers Bureau; Ariad: Consultancy, Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau. Miller:Incyte Corporation: Honoraria, Research Funding. Mascarenhas:Promedior: Research Funding; Roche: Research Funding; CTI Biopharma: Research Funding; Kalobios: Research Funding; Novartis Pharmaceuticals Corporation: Research Funding; Incyte Corporation: Research Funding. Thyne:Incyte Corporation: Speakers Bureau. Paranagama:Incyte Corporation: Employment, Equity Ownership. Parasuraman:Incyte Corporation: Employment, Equity Ownership. Naim:Incyte Corporation: Employment, Equity Ownership. Mangan:Incyte Corporation: Membership on an entity's Board of Directors or advisory committees. Mesa:Promedior: Research Funding; Genentech: Research Funding; Gilead: Research Funding; NS Pharma: Research Funding; Novartis Pharmaceuticals Corporation: Consultancy; CTI Biopharma: Research Funding; Pfizer: Research Funding; Incyte Corporation: Research Funding.

Abstract BACKGROUND: Splenectomy is performed for palliating symptoms in patients with primary myelofibrosis (PMF; as well as post essential thrombocythemia myelofibrosis/ post polycythemia myelofibrosis (Mesa et. al. Cancer2006;107(2):361–70). Pre-operative computed tomograms (CTs) of the spleen are frequently performed for estimating spleen size and anatomy, but sometimes raise concern over radiographic splenic masses. We performed a retrospective analysis of splenectomized PMF patients to determine the predictive value of CT in these patients. METHODS: Splenectomized patients, with confirmed PMF (and POST ET/PV MF), with an available pre-operative CT scan were included. Pre-operative CT scans were reviewed in a blinded fashion by a radiologist (B.B.), and histopathology was concurrently reviewed in a blinded fashion by a hematopathologist (C.Y.L.), with attention for radiographic evidence of splenic masses, splenic infarction and hemorrhage, evidence of extra-splenic masses. Additionally splenic volume was calculated by CT through an algorithm using maximal splenic length, width, and slice size (prorated ellipsoid where volume = (30+.58(XxYxZ)). Results from each review were compared and analyzed against clinical outcomes and documented splenic mass. RESULTS: Thirty-eight patients had concurrent CT and splenic pathology available underwent splenectomy for myelofibrosis (20 PMF; median age at diagnosis 64.6 years (range (46–79), 52% males). Splenic volume estimations by CT correlated well with splenic mass measurements. Splenic volume estimation by CT was 2365 CC (range 736–11355 CC), compared with a measured median splenic mass of 2000 mg (range 730–11750 mg) (bivariate analysis p<0.001). Splenic lesions were identified in a total of 33 patients (87%), 10 only by histopathology (30%), 3 only by CT (9%), and 20 by both (61%). Histopathologically 15 patients had localized hemorrhage, 13 had splenic infractions, and 8 had nodular foci of extramedullary hematopoiesis. Only 2 patients had evidence of an alternative malignancy (concurrent chronic lymphocytic leukemia (CLL, n =1) or systemic mast cell disease (n = 1). CT was very sensitive for detecting focal low density lesions (LDLs), which are roughly spherical regions of decreased contrast enhancement in the spleen, and detected the majority of macroscopic lesions. The presence of splenic infarctions histologically was associated with decreased post splenectomy survival (p=0.02; median 7.2 months vs. 15.0 months), however the sensitive (but not specific) presence of LDL lesions by CT did not have prognostic significance. The CT appearance of splenic hemorrhage was nonspecific, and since these areas of parenchymal hemorrhage were likely subacute/chronic, they could not be reliably distinguished from other LDLs. CONCLUSIONS: Pre-operative CT in patients whom undergo palliative splenectomy for myelofibrosis is a sensitive tool for determining the presence of small splenic lesions (hemorrhage, infarction and EMH). Additionally splenic volume estimation by CT, correlates well with measured splenic mass and may assist in operative planning. Splenic lesions in PMF (post ET/PV MF) by CT rarely represented an alternative malignant process, and should likely not be the sole indication for splenectomy. Splenic infarctions were associated with decreased survival after splenectomy, however CT is not always able to distinguish these lesions from EMH and hemorrhage.

Introduction Neutropenic fever following high-dose chemotherapy and autologous stem cell transplantation (ASCT) is a common (incidence 63-100%) and potentially life-threatening complication. Recommended time to antibiotic (TTA) administration is within 1 hr of fever onset with delays associated with significant morbidity, prolonged hospitalization, and mortality. Standard of care guidelines emphasize patient self-monitoring for fever, with instructions to seek immediate medical attention if body temperature (temp) reaches 100.4°F or higher. In this study, we evaluated if a novel wearable, continuous temp monitor, tPatch, could reliably estimate core body temp and detect fever in an outpatient setting following ASCT. Additionally, we gathered preliminary data to explore early detection and prediction of clinically relevant temp rise in this clinical setting. Methods Patients (N = 86) with hematologic malignancies (62% multiple myeloma) who underwent high-dose chemotherapy followed by ASCT at Mayo Clinic, MN were prospectively enrolled between June 2018 and March 2019. Patients (82% male) wore an axilla-placed tPatch continuously for 7 days in an outpatient setting during the post ASCT period and were asked to record self-measured oral temp in 3-4 hr intervals daily using a standardized thermometer after appropriate training . Patients followed standard of care procedures with daily clinic assessment of temp, blood counts, and vital signs. An optional patient questionnaire was given at end-of-study. A model was trained using both patient- and clinic-assessed oral temp measures to estimate core temp from 2 sensors on the tPatch device. Core temp estimates and trends were then compared to patient- and clinic-assessed measurements. Fever was defined as a temperature ≥100.4°F for at least 1 hr. Results When compared to all oral temp reads, the tPatch estimated core temp within 0.03 ± 0.7℉. Among the 86 patients, clinic-assessed fever incidence was 29.4% while tPatch-assessed incidence was 58.8%. Using all clinic-recorded temp readings as "ground truth," the sensitivity and specificity of the tPatch algorithm in detecting fevers were 88% and 86%, respectively, while patient self fever detection sensitivity was 62% and specificity 93%. With "fever episode" defined as a temp ≥100.4°F for at least 1 hr, tPatch detected 9.6 times the number of fever episodes vs. clinic reads. The average lead time of tPatch detection of clinic-recorded fevers was 3.7 hours. In 25% of all intervals between clinic temp readings, either tPatch or patients detected at least 1 fever episode. The tPatch was well-tolerated, the only adverse events reported were grade 1 skin irritation and discomfort in 4 (5%) patients. Of 65 patients who completed the survey, 95% reported the tPatch as "quite" or "somewhat" comfortable and 94% stated no difficulty in using the tPatch. Exploration of tPatch temp trends over various time intervals for use in fever prediction is ongoing. Conclusions Patient self-monitoring of temp has low sensitivity and is not feasible for long intervals of time (e.g., overnight). Continuous temperature monitoring by a wearable device overcomes these challenges and has the potential to improve early detection and consequently shorten time to antibiotic initiation. A follow-up randomized study is planned to assess the clinical benefits of continuous temp monitoring through patient and clinician alerts triggering early clinical intervention for febrile neutropenia. Figure Disclosures Vera-Aguilera: Verily Life Sciences: Research Funding. Haji-Abolhassani:Verily Life Sciences: Employment. Kulig:Verily Life Sciences: Employment. Heitz:Verily Life Sciences: Employment. Paludo:Verily Life Sciences: Research Funding; Verily Life Sciences: Research Funding; Celgene: Research Funding; Celgene: Research Funding. Ghoreyshi:Verily Life Sciences: Employment. Scheevel:Verily Life Sciences: Research Funding. Schimke:Verily Life Sciences: Research Funding. Markovic:Verily Life Sciences: Research Funding.

Background Interferons are recognized as active agents in the treatment of patients with high risk essential thrombocythemia (ET) or polycythemia vera (PV), both in the upfront setting as well as beyond. Several trials have shown high rates of hematologic and molecular responses with the use of interferons, however, data on direct comparison of interferon activity in patients with early disease in comparison to patients refractory or resistant to prior therapies, such as hydroxyurea (HU) are lacking. We conducted a controlled analysis of the activity of pegylated interferon alfa-2a (PEG) in two prospective parallel clinical trials conducted in these two unique patient populations. Methods The MPD-RC 111 (NCT01259817) was an international, multicenter, phase 2 open-label clinical trial that evaluated PEG therapy in patients with high risk PV and high-risk ET who were either refractory or intolerant (R/I) to HU by modified ELN criteria. The MPD-RC 112 trial (NCT01258856) enrolled patients with high risk ET/PV who were treatment-naïve (TN) (HU <3 months) and randomized them (1:1) to PEG or HU. All patients randomized to PEG were included in this analysis. Both protocols were conducted concurrently at the MPD-RC member institutions and utilized a similar primary endpoint of overall response rate (complete and partial response rates) by ELN Criteria at 12 months confirmed by the same blinded central review committee. Both studies utilized the same PEG starting dose of 45 mcg weekly and was titrated for response to a maximum of 180 mcg weekly. Secondary endpoints included safety information, impact on disease biomarkers, bone marrow (BM) response, and quality of life data. Results Patients ET: 39 TN and 65 R/I ET patients were available for this analysis. Median disease duration was 2.9 months in TN and 37.3 months in R/I patients. Baseline characteristics and demographics were similar in the two cohorts except lower baseline hemoglobin level in RI patients. (Table1A) PV: 43 TN and 50 R/I PV patients were included. Median disease duration was 2.5 months in TN and 54.8 months in R/I patients. Baseline characteristics only differed by lower frequency of phlebotomy rate in R/I patients. (Table1B) Baseline symptoms scores and quality of life were similar in TN and RI groups (Table 2) Response ET: CR/PR/ORR at 12 months were observed in 43.1%/26.2%/69.2% in R/I ET patients and in 43.6%/25.6%/69.2% in TN ET patients (p=0.99 for ORR). (Table 3, Figure 1) PV: CR/PR/ORR at 12 months were observed in 22%/38%/60% in R/I PV patients, and in 27.9%/58.1%/86% in TN PV patients (p=0.005 for ORR). (Table 3, Figure 1) Safety PEG was equally well tolerated throughout both treatment groups with treatment discontinuation due to adverse events occurring in 14.6% in TN patients and 13.9% in R/I patients. The mean (SD) dose of PEG was 102.7 (52.3) mcg in R/I ET patients and 128.7mcg (46.4) in R/I PV patients. For TN patients, mean dose was 85.7mcg (59.7) in ET and 93.5 mcg (44.0) in PV. Adverse events were consistent with historic reports of PEG use and the distribution of events was similar in R/I and TN patients. (Table 4) Conclusion This intention to treat response analysis included TN and R/I ET and PV patients with balanced baseline characteristics who received prospective therapy with PEG. Patients with ET had a higher overall response rate at 12 months that was equivalent in patients who were treatment-naïve and in patients who were intolerant or refractory to HU. By contrast, patients with PV who were treatment-naïve had a higher ORR than patients those intolerant or refractory to HU. We conclude that treatment with PEG is an effective therapeutic option both treatment naïve PV and ET as well as those previously treated with HU, however PEG as a second line agent is especially effective in ET patients. Disclosures Yacoub: Hylapharm: Equity Ownership; Agios: Speakers Bureau; Novartis: Consultancy, Speakers Bureau; Seattle Genetics: Honoraria, Speakers Bureau; Incyte: Consultancy, Honoraria, Speakers Bureau; Ardelyx: Equity Ownership; Cara: Equity Ownership; Dynavax: Equity Ownership. Mascarenhas:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Roche: Consultancy, Research Funding; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Pharmaessentia: Consultancy, Membership on an entity's Board of Directors or advisory committees; CTI Biopharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding; Promedior: Research Funding; Merus: Research Funding. Mesa:AbbVie: Research Funding; Samus: Research Funding; Incyte: Research Funding; Sierra Onc: Consultancy; Genotech: Research Funding; Promedior: Research Funding; Novartis: Consultancy; Celgene: Research Funding; CTI Biopharma: Research Funding; La Jolla Pharma: Consultancy. Rampal:Agios, Apexx, Blueprint Medicines, Celgene, Constellation, and Jazz: Consultancy; Constellation, Incyte, and Stemline Therapeutics: Research Funding. Silver:PharmEssentia: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. McMullin:Daiko Sanyo: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Speakers Bureau; Italopharma: Membership on an entity's Board of Directors or advisory committees. Ewing:Novartis: Honoraria, Other: Meeting attendance sponsorship ; Bristol Myers-Squibb: Other: Meeting attendance sponsorship . O'Connell:Astex: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Shionogi: Membership on an entity's Board of Directors or advisory committees. Mead:Bristol Myers-Squibb: Consultancy; Novartis: Consultancy, Honoraria, Other: Travel/accommodation expenses, Research Funding, Speakers Bureau; CTI: Honoraria, Research Funding; Celgene: Consultancy, Research Funding; Pfizer: Consultancy. De Stefano:Alexion: Consultancy, Honoraria, Speakers Bureau; Celgene: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau. Baer:Astellas: Research Funding; Al Therapeutics: Research Funding; Abbvie: Research Funding; Incyte: Research Funding; Forma: Research Funding; Kite: Research Funding; Takeda: Research Funding. Vannucchi:Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees; Italfarmaco: Membership on an entity's Board of Directors or advisory committees; CTI BioPharma: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Kremyanskaya:La Jolla: Consultancy; Incyte, Celgene, Constellation, Protagonist.: Research Funding. Hexner:novartis: Research Funding. Rambaldi:Amgen: Membership on an entity's Board of Directors or advisory committees, Other: travel support, Research Funding, Speakers Bureau; Italfarmaco: Membership on an entity's Board of Directors or advisory committees, Other: travel support, Research Funding, Speakers Bureau; Omeros: 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, Other: travel support, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: travel support, Speakers Bureau; Gilead: Membership on an entity's Board of Directors or advisory committees, Other: travel support, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Other: travel support, Research Funding, Speakers Bureau; Jazz: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau, travel support. Ritchie:Genentech: Other: Advisory board; Tolero: Other: Advisory board; agios: Other: Advisory board; Pfizer: Other: Advisory board, travel support; Celgene: Other: Advisory board; Jazz Pharmaceuticals: Research Funding; Celgene, Novartis: Other: travel support; AStella, Bristol-Myers Squibb, Novartis, NS Pharma, Pfizer: Research Funding; Ariad, Celgene, Incyte, Novartis: Speakers Bureau; Celgene, Incyte, Novartis, Pfizer: Consultancy. Kiladjian:Novartis: Honoraria, Research Funding; AOP Orphan: Honoraria, Research Funding; Celgene: Consultancy. Harrison:Promedior: Honoraria; Incyte: Speakers Bureau; Sierra Oncology: Honoraria; Celgene: Honoraria, Speakers Bureau; Janssen: Speakers Bureau; CTI: Speakers Bureau; AOP: Honoraria; Shire: Speakers Bureau; Roche: Honoraria; Gilead: Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau. Hoffman:Merus: Research Funding. OffLabel Disclosure: Pegylated Interferon Alfa-2a for in Patients with Polycythemia Vera or Essential Thrombocythemia

Background: Pegylated Interferon-alpha (PEG-IFNa) improves hematologic parameters and reduces mutant allele fraction in patients with myeloproliferative neoplasms (MPNs); however, widespread clinical use is limited by frequent discontinuation due to side effects. Identifying biomarkers of response to PEG-IFNa therapy might identify patient subsets most likely to derive benefit from this therapy. Serum pro-inflammatory cytokine levels are increased in MPN patients and associated with adverse clinical outcomes. The effect of PEG-IFNa therapy on cytokine levels in MPN patients and correlation with clinical response has not been elucidated. We hypothesized that identification of cytokine signatures could predict for clinical/molecular response to PEG-IFNa in MPNs. Methods: Pre- and post-treatment serum samples were collected from available patients enrolled on the Myeloproliferative Disorders Research Consortium (MPD-RC) 111/112 trials-multicenter studies assessing efficacy of PEG-IFNa in patients with high-risk polycythemia vera/essential thrombocythemia either up front or in the setting of hydroxyurea failure/intolerance. Serum was prepared using the Millipore MAP Human 41-Cytokine Magnet Bead System (Millipore; Cat:HCYTOMAG-60K) and run on the Luminex FLEXMAP 3D platform. Data was analyzed using Luminex xPonent 4.3 software. Correlative mutational data on 156 genes implicated in myeloid malignancies was also available for all patients. Age-matched serum from healthy individuals (N=6) was obtained from AllCellsTM for use as wild-type (WT) controls. Baseline cytokine samples were compared between groups of interest by use of Wilcoxon rank-sum test. Change from baseline in cytokines for each group were compared to the null hypothesis of zero change. P values <0.05 were considered statistically significant. Results: Pre- and post-treatment serum samples were available on 29 MPN patients from the MPN-RC 111/112 cohorts. 21 patients were classified as complete responders (CRs) vs. 8 non-responders (NRs) using European LeukemiaNet criteria. Baseline cytokine levels were generally increased in both CRs and NRs compared to WT, including significant increases in Eotaxin (p=0.023), IL3 (p=0.048), IP10 (p=0.04), and TNFa (p=0.006) (Table 1), as well as a non-significant trend increase in IL8 (p=0.076). Notably, other cytokines were decreased at baseline in comparison to WT, including EGF (p<0.001), as well as MDC (p=0.040) and PDGFaabb (p=0.02), in line with previous studies. Compared to CRs, NRs displayed significantly lower levels of GRO (p=0.020), MDC (p=0.003), and PDGFaabb (p=0.026) at baseline along with elevated levels of IP10 (p=0.028) suggesting pre-treatment levels of these cytokines might predict response to therapy. Comparison of pre- and post- treatment samples revealed a general increase in median cytokine levels in CRs, with significant changes in GM-CSF (p=0.012), IP10 (p<0.001), MCP1 (p=0.015) and IFNa itself (p=0.010). Notably, median cytokine levels in NRs post-treatment, including IFNa, were relatively unchanged from baseline despite on-going PEG-IFNa therapy. Additional pre-treatment serum samples, as well as correlative analysis of cytokine changes with JAK-STAT driver mutant allele fraction and mutational profiling are underway and will be presented at the meeting. Conclusions: Preliminary findings suggest individual cytokines are affected by PEG-IFNa in MPNs. Furthermore, baseline levels of GRO, MDC, PDGFaabb, and IP10 correlate with response to PEG-IFNa. These data may identify MPN patients most likely to respond to PEG-IFNa therapy and those for whom this therapy may be most appropriate. Further analysis with a larger cohort of treatment-naïve patients is underway to validate these findings and identify additional molecular and cytokine signatures of response to PEG-IFNa therapy. Disclosures Yacoub: Agios: Speakers Bureau; Hylapharm: Equity Ownership; Dynavax: Equity Ownership; Cara: Equity Ownership; Ardelyx: Equity Ownership; Incyte: Consultancy, Honoraria, Speakers Bureau; Seattle Genetics: Honoraria, Speakers Bureau; Novartis: Consultancy, Speakers Bureau. Mascarenhas:Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Roche: Consultancy, Research Funding; Merck: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; CTI Biopharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding; Promedior: Research Funding; Merus: Research Funding; Pharmaessentia: Consultancy, Membership on an entity's Board of Directors or advisory committees. Levine:Lilly: Honoraria; Qiagen: Membership on an entity's Board of Directors or advisory committees; Imago Biosciences: Membership on an entity's Board of Directors or advisory committees; Loxo: Membership on an entity's Board of Directors or advisory committees; Prelude Therapeutics: Research Funding; Isoplexis: Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Research Funding; Gilead: Consultancy; Amgen: Honoraria; C4 Therapeutics: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Novartis: Consultancy. Hoffman:Merus: Research Funding. Rampal:Constellation, Incyte, and Stemline Therapeutics: Research Funding; Agios, Apexx, Blueprint Medicines, Celgene, Constellation, and Jazz: Consultancy.

AbstractBackgroundPatients with acute myeloid leukemia (AML) are surviving longer. There are no data on changes in myocardial mechanics from standard of care low‐dose anthracycline‐based induction chemotherapy in older patients with AML. The aim of this study was to demonstrate the potential utility of strain imaging in detecting early changes in left ventricular function in this patient population after induction chemotherapy.MethodsThirty two patients enrolled in the ECOG‐ACRIN E2906 study (cytarabine and daunorubicin vs clofarabine [Genzyme/Sanofi]) from 2011 to 2014 were evaluated retrospectively. Two‐dimensional transthoracic echocardiography (TTE) imaging with Doppler and two‐dimensional speckle‐tracking echocardiography (2DSTE) using EchoInsight software (Epsilon imaging) were performed before and after induction chemotherapy.ResultsEighteen patients received cytarabine and daunorubicin (7 + 3) and 14 received clofarabine. The clofarabine group was older than the 7 + 3 cohort (67.8 ± 4.0 vs 63.7 ± 3.8, P = .007). There were no other significant differences in cardiac risk factors between groups. The 7 + 3 group had a decrease in average peak systolic global longitudinal (−19.1 ± 2.8 to −17.2 ± 3.0, P = .01) and circumferential strain (−29.4 ± 6.3 to −23.9 ± 4.3, P = .011). These changes were not demonstrated in the clofarabine group and were not associated with a decline in left ventricular ejection fraction (LVEF).ConclusionsIn older AML patients, standard cytarabine and daunorubicin chemotherapy causes early changes in global longitudinal and circumferential strain not seen with clofarabine therapy. These findings demonstrate subclinical left ventricular dysfunction after exposure to low cumulative doses of anthracycline‐based induction chemotherapy and may help us better identify those patients at risk for adverse long‐term cardiovascular outcomes.

Abstract Background : Survival prediction in essential thrombocythemia (ET) and polycythemia vera (PV) is currently based on clinically-derived risk variables, including age, thrombosis history and leukocyte count (Blood. 2012;120:1197; Leukemia. 2013;27:1874). We have previously reported on the prognostic contribution of mutations, in both ET and PV (Blood Adv. 2016;1:21). The current study examines the possibility of integrating genetic and clinical information for predicting overall (OS), leukemia-free (LFS) and myelofibrosis-free (MFFS) survival in ET and PV. Methods : Study patients were recruited from the Mayo Clinic, Rochester, MN, USA and the University of Florence, Florence, Italy, based on availability of next-generation sequencing (NGS)-derived mutation information. Diagnoses were according to the 2016 World Health Organization criteria (Blood. 2016;127:2391). NGS-detected coding region variants were filtered through the Exome Aggregation Consortium (ExAC) database and annotated by the Catalogue of Somatic Mutations in Cancer (COSMIC) database as mutants or variants of uncertain significance (VUS). Conventional statistics was employed for outcome analysis and assessment of model performance. Results: 906 molecularly-annotated patients (416 from Mayo and 490 from Florence), including 502 ET and 404 PV cases, were included in the current study. The Mayo/Florence cohorts included 270/232 ET (median age 57/54 years, 60%/59% females) and 146/258 PV (median age 63/58 years, 52%/44% females) patients; median follow-up was 9.9/12.9 years for ET and 10.7/12.4 years for PV; during this time 39%/38% deaths and 4.4%/6.5% leukemic and 16%/33% fibrotic progressions were documented for ET, with the corresponding figures for PV being 50%/26%, 4.8%/3% and 13%/36%. Cytogenetic information was available in 84%/63% ET and 80%/49% PV cases in the Mayo/Florence cohorts. In both Mayo and Florence cohorts, multivariable analysis of mutations identified primarily spliceosome mutations to adversely affect OS (SF3B1 and SRSF2 in ET and SRSF2 in PV) and MFFS (U2AF1 and SF3B1 in ET); in addition, TP53 mutations was associated with leukemic transformation in ET, in both patient cohorts. Other mutations with independently significant contribution, validated in one but not both cohorts, included EZH2 (OS and LFS in ET), IDH2 (OS and LFS in PV) and RUNX1 (LFS in PV and ET). For the purposes of the current study, mutations considered "adverse" for subsequent analysis and development of prognostic models required validation in both Mayo and Florence cohorts. Age-adjusted, all-inclusive multivariable analysis of genetic and clinical variables identified the following as independent risk factors for OS, in both Mayo and Florence cohorts: ET ─ SRSF2/SF3B1 mutations, age >60 years and male sex; PV ─ SRSF2 mutations, age >67 years and leukocyte count ≥11 x 109/l. In addition, multivariable analysis flagged leukocytosis in ET (Florence cohort only) and abnormal karyotype in PV (Mayo cohort only) as additional factors. Development of mutation-enhanced international prognostic systems for ET and PV In order to optimize the number of informative cases, the two Mayo and Florence databases were subsequently combined and subjected to multivariable analysis that confirmed the independent survival effect, in ET, of SRSF2/SF3B1 mutations (HR 2.8, 95% CI 1.8-4.3), age >60 years (HR 6.7, 95% CI 4.8-9.4) and male sex (HR 1.8, 95% CI 1.4-2.4) and, in PV, of SRSF2 mutations (HR 7.0, 95% CI 2.3-17.4), age >60 years (HR 5.7, 95% CI 3.3-10.1), and leukocyte count ≥11 x 109/l (HR 2.4, 95% CI 1.5-3.9); the combined analysis also flagged independent prognostic contribution from abnormal karyotype in PV (HR 2.1, 95% CI 1.1-3.6). HR-weighted risk point allocation resulted in new, mutation-enhanced 4-tiered risk models for ET (MIPSS-ET based on mutations, age and sex; figure 1a) and PV (MIPSS-PV based on mutations, karyotype, leukocyte count and age; figure 1b). Both models displayed high predictive accuracy and were internally validated by bootstrapping. The combined analysis also confirmed the impact of TP53 mutations on LFS (figure 1c) and U2AF1/SF3B1 mutations on MFFS (figure 1d), in ET. Conclusions: Spliceosome mutation information enhances survival prediction in ET and PV and identifies those at risk for fibrotic progression. TP53 mutations predict leukemic transformation in ET. Disclosures No relevant conflicts of interest to declare.

Abstract Background Myelodysplastic syndromes (MDS) and chronic myelomonocytic leukemia (CMML) are mainly diagnosed based on morphological changes in the bone marrow. The diagnosis can be challenging in patients (pts) with pancytopenia with minimal dysplasia, and is subject to inter-observer variability. Somatic mutations can be identified in either disease but no genes, in isolation or in combination, are specific for disease phenotype. We developed a geno-clinical model that uses mutational data, peripheral blood values, and clinical variables to predict an MDS vs. CMML diagnosis in pts who presented with cytopenias, in the absence of bone marrow biopsy results. Method We combined genomic and clinical data from 1897 pts treated at our institution (593) and the Munich Leukemia Laboratory (1304). Pts were diagnosed with MDS or CMML according to 2008 WHO criteria. Diagnosis of MDS and CMML was confirmed by independent hematopathologists that were not associated with the study. A genomic panel of 40 genes commonly mutated in myeloid malignancies was included. The initial cohort was randomly (computer generated) divided into learner (80%) and validation (20%) cohorts. Multiple machine learning algorithms were applied to predict the phenotype. Feature extraction algorithms were used to extract genomic/clinical variables that impacted the algorithm decision and to visualize the impact of each variable on phenotype. Prediction performance was evaluated according to the area under the curve of the receiver operator characteristic (ROC-AUC) and confusion/accuracy matrices. Results Of 1897 pts included, 1368 pts had MDS and 529 had CMML. The median age for the entire cohort was 72 years (range, 11-102); 37% were female. The median white blood cell count (WBC) was 5.1x109/L (range, 0.60-176), absolute monocyte count (AMC) 0.19 x109/L (range, 0-96), absolute lymphocyte count (ALC) 0.77x109/L (range, 0-62), absolute neutrophil count (ANC) 2.44x109/L (range, 0-170), hemoglobin (Hgb) 10.2 (range, 3.9-19.6), and platelet (Plt) count 111x103/mL (range 2-1491). The most commonly mutated genes in all pts were: TET2 (33%), ASXL1 (26%), SF3B1 (21%), SRSF2 (16%), RUNX1 (12%), DNMT3A (10%), CBL (7%), U2AF1 (7%), STAG2 (6%), EZH2 (6%), ZRSR2 (6%), NRAS (6%). In CMML, they were: TET2 (51%), ASXL1 (43%), SRSF2 (25%), RUNX1 (18%), CBL (16%), KRAS (12%), NRAS (11%), EZH2 (9%), JAK2 (6%), U2AF1 (5%), SF3B1 (4%), and DNMT3A (3%). In MDS, they were: TET2 (27%), SF3B1 (24%), ASXL1 (21%), SRSF2 (13%), DNMT3A (12%), RUNX1 (10%), STAG2 (8%), U2AF1 (8%), ZRSR2 (7%), TP53 (7%), BCOR (5%), and EZH2 (5%).The median total number of mutations/sample was 2 (range 0-27) for all pts, 2 (range 0-8) for CMML, and 2 (range 0-27) for MDS. A set of 83 genomic/clinical variables were evaluated and several feature extraction algorithms were used to identify the least number of variables that have the most significant impact on the algorithm's decision. These variables included: AMC, ALC, TET2, ANC, ASXL1, SF3B1, Hgb, number of mutations/sample, AEC, age, Plt, splenomegaly, RUNX1, NRAS, CBL, U2AF1, STAG2, DNMT3A, TP53, EZH2, SRSF2, and ZRSR2, Figure 1. When applying the model to the validation cohort, the ROC-AUC was .98 with an accuracy of 94%, with other statistical values as follows: specificities CMML 93%, MDS 96%; sensitivities CMML 96%, MDS 93%; positive predictive values CMML 84%, MDS 98%; negative predictive values CMML 98%, MDS 84%. Individual pt data can also be entered into the model, with a probability of whether the diagnosis is MDS vs. CMML provided along with the impact of each variable on the decision, as shown in Figure 1. When the analysis was restricted to mutations only, the accuracy of the model dropped dramatically (77%, ROC-AUC .85). Conclusions We propose a novel approach using interpretable, individualized modeling to predict MDS vs. CMML phenotypes based on genomic and clinical data without the need for bone marrow biopsy data. This approach can aid clinicians and hematopathologists when encountering pts with cytopenias and a diagnosis suspicious for MDS vs. CMML. The model also provides feature attributions that allow for quantitative understanding of the complex interplay among genotype, clinical variables, and phenotype. Disclosures Sekeres: Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Meggendorfer:MLL Munich Leukemia Laboratory: Employment. Walter:MLL Munich Leukemia Laboratory: Employment. Hutter:MLL Munich Leukemia Laboratory: Employment. Savona:Boehringer Ingelheim: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding. Gerds:CTI Biopharma: Consultancy; Celgene: Consultancy; Apexx Oncology: Consultancy; Incyte: Consultancy. Sallman:Celgene: Research Funding, Speakers Bureau. Komrokji:Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Maciejewski:Apellis Pharmaceuticals: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Apellis Pharmaceuticals: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Nazha:MEI: Consultancy.