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95 citation(s) found for "Kiladjian, Jean‐Jacques".

Clinical Benefit of Ruxolitinib Treatment after Crossover from Best Available Therapy in Patients with Polycythemia Vera: Analysis of the RESPONSE Trial
Harrison, Claire , He, Shui, Li, Jingjin , Habr, Dany , Kiladjian, Jean‐Jacques , Vannucchi, Alessandro M. , Grießhammer, Martin , Masszi, Tamás , Durrant, Simon , Passamonti, Francesco , Pane, Fabrizio , Zachée, Pierre , Mesa, Ruben A. , Jones, Mark M, Verstovšek, Srđan

Mayo Clinic

Blood | October 11, 2019 | Volume: 124 | Issue: 21 | Pages: 3181-3181

10.1182/blood.v124.21.3181.3181 Get It

Abstract Background : Polycythemia vera (PV) is a myeloproliferative neoplasm characterized by erythrocytosis, and in many cases leukocytosis and thrombocytosis. PV is driven by activating mutations in the JAK/STAT pathway, primarily JAK2V617F. For high-risk patients, a commonly used first-line therapy is hydroxyurea (HU); however, a subgroup of patients become intolerant of or resistant to HU. The phase 3 RESPONSE trial compared ruxolitinib (RUX) and best available therapy (BAT) in patients with PV who were intolerant of or resistant to HU (modified European LeukemiaNet criteria). Patients randomized in the BAT arm were permitted to cross over to receive RUX from Week 32 of the study. The results of the primary analysis comparing RUX to BAT prior to crossover have been reported, in which RUX was superior to BAT in achieving hematocrit control, reductions in spleen volume, and improvements in PV-related symptoms. This current analysis was conducted to evaluate the efficacy of RUX treatment in patients who crossed over from BAT relative to their original BAT treatment and relative to those originally randomized to RUX. Methods : Enrollment criteria included PV diagnosis, age ≥18 years, resistance to or intolerance of HU, splenomegaly, and phlebotomy requirement to control hematocrit. Patients were randomized 1:1 to receive open-label RUX 10 mg BID or BAT administered based on investigator judgment. BAT may have included HU, interferon/pegylated interferon, pipobroman, anagrelide, immunomodulators (eg, lenalidomide or thalidomide), or no medication. The protocol allowed for dose modifications (RUX, 5-mg BID increments [25 mg BID max]; BAT was adjusted per investigator judgment). Patients in the BAT group could cross over to RUX from Week 32 if they had not met the primary endpoint, or after Week 32 due to protocol-defined disease progression. The primary study endpoint was a composite of hematocrit control and a ≥35% reduction in spleen size at Week 32. Hematocrit was assessed at screening, every 2 weeks from Day 1 to Week 12, followed by every 4 weeks until Week 32, and 2, 4, 6, 8, 16, 24, and 32 weeks following crossover. Spleen volume was assessed by magnetic resonance imaging at screening and study Weeks 16, 32, 48, 64, 80 and every 32 weeks thereafter. The number of phlebotomy procedures was evaluated over time in each group. Results : A total of 110 patients were randomized to RUX and 112 to BAT; study discontinuation by Week 32 (before crossover was permitted) was 11% in both groups. However, most patients in the BAT arm crossed over to receive RUX treatment immediately after the Week 32 visit (84% between Weeks 32 and 48); only 3% of patients remained in the BAT arm compared with 85% in the RUX arm at the time of the data analysis (median 81-week follow-up). With up to 32 weeks on BAT therapy, 25% of patients in this group did not require a phlebotomy; in contrast, with up to 32 weeks on RUX, 79% of patients after crossover and 74% of patients initially randomized to RUX did not require phlebotomy. The number of phlebotomy procedures adjusted for 100 patient-years during BAT therapy was 196.8 vs 38.5 after crossover to RUX and 34.1 on randomized RUX treatment. Reduction in spleen volume from baseline at any visit occurred in 49% of patients receiving BAT, vs 73% of patients after crossover to RUX and 88% of patients initially randomized to RUX. The proportion of patients achieving at least a 35% reduction in spleen volume (best percentage change) was 1.8% during BAT treatment vs 38.5% after crossover to RUX and 60.0% during randomized RUX treatment. Conclusion : Treatment with RUX after crossover from BAT resulted in improved clinical outcomes compared with original BAT treatment. These findings support the primary RESPONSE results and further validate the efficacy of RUX in this patient population. Disclosures Kiladjian: Novartis Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Off Label Use: Ruxolitinib is a JAK1/JAK2 inhibitor approved for the treatment of patients with intermediate or high-risk myelofibrosis, including primary myelofibrosis, post polycythemia vera myelofibrosis, and post-essential thrombocythemia myelofibrosis. Vannucchi:Novartis Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Masszi:Novartis Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Durrant:Novartis Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Harrison:Novartis Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Mesa:Incyte Corporation: Research Funding; CTI: Research Funding; Gilead: Research Funding; Genentech: Research Funding; Eli Lilly: Research Funding; Promedior: Research Funding; NS Pharma: Research Funding; Sanofi: Research Funding; Celgene: Research Funding. Jones:Incyte Corporation: Employment, Equity Ownership. He:Incyte Corporation: Employment, Equity Ownership. Li:Novartis Pharmaceuticals : Employment, Equity Ownership. Habr:Novartis Pharmaceuticals: Employment, Equity Ownership. Verstovsek:Incyte Corporation: Research Funding.
Sexuality Challenges, Intimacy, and MPN Symptom Burden: An Analysis By The MPN Quality Of Life International Study Group (MPN-QOL ISG)
Geyer, Holly L. , Emanuel, Robyn M., Cannon, Keith, Slot, Stephanie, Boekhorst, Peter A.W. te , Commandeur, Suzan, Schouten, Harry C. , Sackmann, Federico, Fuentes, Ana Kerguelen, Pahl, Heike L. , Stegelmann, Frank , Döhner, Konstanze , Ranta, Dana, Reiter, Andreas , Boyer, Françoise, Étienne, Gabriel , Roy, Lydia , Cahn, Jean‐Yves , Harrison, Claire , Radia, Deepti , Muxí, Pablo , Maldonado, Norman I, Besses, Carlos , Cervantes, Francisco , Johansson, Peter , Barbui, Tiziano , Andréasson, Björn , Ferrari, Maria Luisa, Samuelsson, Jan , Birgegård, Gunnar , Xiao, Zhijian , Xu, Junqing , Zhang, Peihong , Dueck, Amylou C. , Kiladjian, Jean‐Jacques , Zweegman, Sonja , Hernández‐Maraver, Dolores , Grießhammer, Martin , Lehmann, Thomas , Ianotto, Jean‐Christophe , Barosi, Giovanni , Vannucchi, Alessandro M. , Passamonti, Francesco , Rambaldi, Alessandro , Xu, Zefeng , Sun, Xiujuan , Gale, Robert Peter , Mesa, Ruben A.

Mayo Clinic

Blood | October 10, 2019 | Volume: 122 | Issue: 21 | Pages: 4088-4088

10.1182/blood.v122.21.4088.4088 Get It

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.
A Pooled Overall Survival (OS) Analysis of 5-Year Data from the COMFORT-I and COMFORT-II Trials of Ruxolitinib for the Treatment of Myelofibrosis (MF)
Cervantes, Francisco , Gao, Jessy , Dong, Touchuan, Naim, Ahmad, Gopalakrishna, Prashanth, Harrison, Claire , Verstovšek, Srđan , Gupta, Vikas , Gotlib, Jason , Mesa, Ruben A. , Vannucchi, Alessandro M. , Kiladjian, Jean‐Jacques , Sun, William

Mayo Clinic

Blood | October 10, 2019 | Volume: 128 | Issue: 22 | Pages: 3110-3110

10.1182/blood.v128.22.3110.3110 Get It

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.
Interim Analysis of the Myeloproliferative Disorders Research Consortium (MPD-RC) 112 Global Phase III Trial of Front Line Pegylated Interferon Alpha-2a Vs. Hydroxyurea in High Risk Polycythemia Vera and Essential Thrombocythemia
Rambaldi, Alessandro , Berenzon, Dmitriy, Yacoub, Abdulraheem , Harrison, Claire , Ewing, Joanne, Winton, Elliott F., Leibowitz, D , Arcasoy, Murat O. , Catchatorian, Rosalind, Rondelli, Damiano , Silver, Richard T. , Ritchie, Ellen K. , Nagler, Arnon , Kremyanskaya, Marina , Schlenk, Richard F. , Weinberg, Rona Singer , Salama, Mohamed E. , Tognoni, Gianni, Prosperini, Giuseppe, Lelio, Alessandra Di, Serone, Eliseo , Marfisi, Lorenzo, Kleczko, Jill, Barbui, Tiziano , Rambaldi, Alessandro , Mascarenhas, John , Prchal, Josef T. , Mesa, Ruben A. , McMullin, Mary Frances , Vannucchi, Alessandro M. , O'Connell, Casey Lee , Kiladjian, Jean‐Jacques , Mead, Adam J. , Stefano, Valerio De , Kessler, Craig M. , Kosiorek, Heidi , Dueck, Amylou C. , Hoffman, Ronald

Mayo Clinic

Blood | October 10, 2019 | Volume: 128 | Issue: 22 | Pages: 479-479

10.1182/blood.v128.22.479.479 Get It

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.
Insomnia, Quality Of Life and MPN Symptom Burden: An Analysis By The MPN Quality Of Life International Study Group (MPN-QOL ISG)
Geyer, Holly L. , Emanuel, Robyn M., Cannon, Keith, Slot, Stephanie, Boekhorst, Peter A.W. te , Commandeur, Suzan, Schouten, Harry C. , Sackmann, Federico, Fuentes, Ana Kerguelen, Pahl, Heike L. , Stegelmann, Frank , Döhner, Konstanze , Bonatz, Karin, Reiter, Andreas , Boyer, Françoise, Étienne, Gabriel , Ranta, Dana, Roy, Lydia , Cahn, Jean‐Yves , Harrison, Claire , Radia, Deepti , Muxí, Pablo , Maldonado, Norman I, Besses, Carlos , Cervantes, Francisco , Johansson, Peter , Barbui, Tiziano , Andréasson, Björn , Ferrari, Maria Luisa, Samuelsson, Jan , Birgegård, Gunnar , Xiao, Zhijian , Xu, Junqing , Zhang, Peihong , Dueck, Amylou C. , Kiladjian, Jean‐Jacques , Zweegman, Sonja , Hernández‐Maraver, Dolores , Grießhammer, Martin , Lehmann, Thomas , Ianotto, Jean‐Christophe , Barosi, Giovanni , Vannucchi, Alessandro M. , Passamonti, Francesco , Rambaldi, Alessandro , Xu, Zefeng , Zhang, Yue , Sun, Xiujuan , Gale, Robert Peter , Mesa, Ruben A.

Mayo Clinic

Blood | October 10, 2019 | Volume: 122 | Issue: 21 | Pages: 4087-4087

10.1182/blood.v122.21.4087.4087 Get It

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.
Relationship of JAK2V617F Allelic Burden (AB) to Demographics, Disease Characteristics, and Response to Therapy in Persist-1, a Randomized Phase III Study of Pacritinib (PAC) Versus Best Available Therapy (BAT) in Patients (pts) with Primary and Secondary
Egyed, Miklós , Szőke, Anita , Suvorov, Aleksandr , Perkins, Andrew C. , Mayer, Jiřı́ , Schouten, Harry C. , Tosi, Patrizia , Nangalia, Jyoti , Zhou, Huafeng, Harrison, Claire , Vannucchi, Alessandro M. , Mead, Adam J. , Ganly, Peter S. , Farber, Charles Michael , Zachée, Pierre , Kiladjian, Jean‐Jacques , Dean, James P. , Singer, Jack W. , Mesa, Ruben A. , Perkins, Andrew C

Mayo Clinic

Blood | October 10, 2019 | Volume: 128 | Issue: 22 | Pages: 3131-3131

10.1182/blood.v128.22.3131.3131 Get It

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.
Myeloproliferative (MPN) Symptom Burden Response Thresholds: Assessment Of MPN-SAF TSS Quartiles As Potential Markers Of Symptom Response
Emanuel, Robyn M., Geyer, Holly L. , Slot, Stephanie, Boekhorst, Peter A.W. te , Commandeur, Suzan, Schouten, Harry C. , Sackmann, Federico, Fuentes, Ana Kerguelen, Pahl, Heike L. , Stegelmann, Frank , Doehner, Konstanze, Bonatz, Karin, Reiter, Andreas , Boyer, Françoise, Étienne, Gabriel , Ranta, Dana, Roy, Lydia , Cahn, Jean‐Yves , Harrison, Claire , Radia, Deepti , Muxí, Pablo , Maldonado, Norman I, Besses, Carlos , Cervantes, Francisco , Johansson, Peter , Barbui, Tiziano , Andréasson, Björn , Ferrari, Maria Luisa, Samuelsson, Jan , Birgegård, Gunnar , Xiao, Zhijian , Xu, Junqing, Zhang, Peihong , Tefferi, Ayalew , Dueck, Amylou C. , Kiladjian, Jean‐Jacques , Zweegman, Sonja , Hernández‐Maraver, Dolores , Lehmann, Thomas , Ianotto, Jean‐Christophe , Barosi, Giovanni , Vannucchi, Alessandro M. , Passamonti, Francesco , Grießhammer, Martin , Rambaldi, Alessandro , Xu, Zefeng , Zhang, Yue , Sun, Xiujuan , Gale, Robert Peter , Mesa, Ruben A.

Mayo Clinic

Blood | October 10, 2019 | Volume: 122 | Issue: 21 | Pages: 4067-4067

10.1182/blood.v122.21.4067.4067 Get It

Abstract Background We have previously reported on the significant, but heterogeneous baseline MPN symptom burden among an international sample of MPN patients (including essential thrombocythemia (ET), polycythemia vera (PV), and myelofibrosis (MF)) utilizing the MPN Symptom Assessment Form (MPN-SAF) and the derivative Total Symptom Score (MPN-SAF TSS). Recent clinical trials have sought to determine optimal MPN symptom response criteria, such as absolute 10 point improvement in MPN SAF TSS for ET/PV (ELN Criteria, Barosi et. al. Blood 2013) and 50% reduction in MPN-SAF TSS for MF (IWG-MRT, Tefferi et. al. Blood 2013). We sought to determine the role of improvement in MPN-SAF TSS quartiles as potential thresholds to assess symptomatic response to therapy. Methods Utilizing prospectively gathered MPN-SAF TSS (Emanuel et. al. JCO 2012) in patients we assessed potential thresholds of response by evaluating quartile thresholds for severity of symptom burden. The MPN-SAF TSS was scored as the average of 10 symptoms (individual symptoms scores of 0-10, with a total score of 0 (best) to 100 (worst)). MPN-SAF TSS quartiles were identified by the percentage of scores between 0-24% (quartile 1 (Q1)), 25-49% (quartile 2 (Q2)), 50-74% (quartile 3 (Q3)), 75-100% (quartile 4 (Q4)). Results MPN-SAF TSS Quartiles: MPN-SAF TSS quartiles were identified among 1858 MPN patients (ET N=775, PV N=654, and MF N=423). Overall MPN-SAF TSS scores of 0 - 7 were designated as Q1, 8 - 17 as Q2, 18 - 31 as Q3, and ≥ 32 was as Q4. MPN-SAF TSS scores were significantly different between clusters (p<0.001). Associations Between Quartiles and Demographic/ Disease Factors: As quartiles increased, the proportion of PV and ET patients diminished and MF increased (Table 1, p<0.001). Cytopenias and transfusion dependence increased in prevalence in the higher quartiles (p<0.001). A history of prior thrombosis was also significantly more prevalent in the quartiles with highest symptom burden (p<0.001). The prevalence of women was significantly higher among the more symptomatic quartiles females 48.9% Q1, 49.4% Q2, 58.4% Q3, and 60.1% Q4; p<0.001). Associations Between Individual Symptoms and MPN-SAF TSS Quartiles: All individual symptoms measured in the MPN-SAF TSS were significantly worse in quartiles as they increased (p<0.0001). Evaluation of Prognostic Scoring and MPN-SAF TSS Quartiles: Comparison of each patients individual risk score (IPSET, PV, DIPSS for MF) and worsening symptom quartile showed the highest correlation with MF patients (DIPSS) (Table 1). However, ET and PV risk scores were not surrogates for symptom burden by quartile. Conclusions Distribution of MPN patient symptomatic burden by MPN-SAF TSS quartiles provides an easy-to-calculate method to cluster and analyze MPN patients of similar burden. Although MF patients are most prevalent in the most severe quartile of MPN symptomatology it is notable that Q4 has many patients with PV and ET. Future prospective efforts are ongoing to assess the potential of using changes in quartile (i.e. improving from Q3 to Q1) as potential symptomatic response thresholds. 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:Gilead: Honoraria, Membership on an entity’s Board of Directors or advisory committees; S Bio: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Shire: Speakers Bureau; Celgene: Honoraria; YM Bioscience: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau. Vannucchi:Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Birgegard:Vifor Pharma: Honoraria.
Symptom Severity and Clinical Variables of Polycythemia Vera Patients with Splenomegaly, Phlebotomy Requirements and/or Hydroxyurea Use: a Retrospective Evaluation of 1334 Patients
Geyer, Holly L. , Scherber, Robyn M. , Xiao, Zhijian , Slot, Stephanie, Fuentes, Ana Kerguelen, Döhner, Konstanze , Harrison, Claire , Radia, Deepti , Muxí, Pablo , Sackman, Federico, Besses, Carlos , Cervantes, Francisco , Johansson, Peter , Andréasson, Björn , Rambaldi, Alessandro , Barbui, Tiziano , Samuelsson, Jan , Birgegård, Gunnar , Bonatz, Karin, Reiter, Andreas , Boyer, Françoise, Étienne, Gabriel , Ranta, Dana, Roy, Lydia , Cahn, Jean‐Yves , Maldonado, Norman I, Ferrari, Maria Luisa, Cannon, Keith, Boekhorst, Peter A.W. te , Schouten, Harry C. , Pahl, Heike L. , Stegelmann, Frank , Xu, Junqing , Zhang, Peihong , Rambaldi, Alessandro , Dueck, Amylou C. , Kiladjian, Jean‐Jacques , Zweegman, Sonja , Hernández‐Maraver, Dolores , Vannucchi, Alessandro M. , Passamonti, Francesco , Ianotto, Jean‐Christophe , Barosi, Giovanni , Grießhammer, Martin , Lehmann, Thomas , Xu, Zefeng , Zhang, Yue , Sun, Xiujuan , Mesa, Ruben A.

Mayo Clinic

Blood | October 9, 2019 | Volume: 124 | Issue: 21 | Pages: 1848-1848

10.1182/blood.v124.21.1848.1848 Get It

Abstract Background Polycythemia vera (PV) is a clonal myeloproliferative disorder characterized by erythrocytosis, splenomegaly and a frequently burdensome symptom profile. Despite current guidelines of aspirin, phlebotomy, and selective cytoreduction, many patients have inadequately controlled PV-related symptoms and/or disease features. We performed a comparison of PV symptom burden/disease feature phenotypes to understand unmet needs in current medical management. Methods Data was collected prospectively amongst an international cohort of PV patients including symptom burden, demographics, and disease features. Subgroups were identified who had previously failed hydroxyurea (PV-HU), required ongoing phlebotomy (PV-P), had palpable splenomegaly (PV-S), or had all 3 features (PV-HUPS). Control groups were derived from the remaining PV patients lacking the specified subgroup trait; patients in whom the trait status was unknown were excluded from each respective control group. All participants completed the MPN specific symptom burden questionnaire (MPN-SAF TSS (MPN-10 – Table 1)) and had no prior history of splenectomy. Surveyed symptoms on the MPN-10 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. PV risk scores were calculated using the 2013 criteria (Leukemia 2013). Comparison of symptoms between groups employed t-tests. Results Patient Demographics and Disease Features Between Phenotypic Groups A total of 1334 PV patients completed the MPN-10, and were assigned to categories of PV-HU (499 [37%]), PV-P (646 [48%]), PV-S (369, [28%]), and PV-HUPS (148 [12%]). The demographics between these groups were similar (comparable age (median range 60-63), PV risk scores (mean risk range: Low 16.4-23.7%; Intermediate 31.4%-36.6%; High 42.8%-47%). Mean hemoglobin was similar among PV subgroups (range 14.4-14.9); PV-HUPS had a higher mean WBC count (20.3 g/dL vs. 8.8-11.8 g/dL) and platelet count (703.5 x 10(9)/L vs. 327.5-462.8 x 10(9)/L), and disease duration (11.5 years vs. 6.4-8.8 years). Prior thrombosis was most common in PV-S patients (28.5% vs. 21.8-25.2%) and prior hemorrhage was most common in PV-HUPS patients (23.8% vs. 13.7-15.8%). Symptom Burden The MPN-10 scores of each problematic PV phenotype (HU, P, S, HUPS) were compared to the remainder of the PV cohort lacking the trait (PV-control; Table 1). Both individual symptom scores and TSS were highest for PV-HUPS patients (mean TSS 32.5 vs. 27.7-29.2). All problematic PV subgroups demonstrated significant differences for individual symptoms and TSS compared to PV-control. Comparing "problematic" subgroup responses, PV-HU patients described more inactivity whereas PV-S patients described more early satiety and pruritus. No statistical differences were noted in PV-HU, PV-P and PV-HUPS patient responses to MPN-10 items of "fever" and "weight loss". Discussion PV patients who have either failed HU, are undergoing phlebotomy and/or have splenomegaly exhibit moderate to severe symptomatology and demonstrate unmet medical need for management. As evidenced in this study, considerable overlap in symptomatology exists in PV-HU, PV-P, PV-S and PV-HUPS. Current randomized trials of JAK inhibitors have demonstrated benefits in a PV-HUPS phenotype. This data suggests that PV patients with any evidence of inadequate control (PV-HU, P, or S) have similarly unmet needs and may be candidates for clinical trials, intensification of medical therapy or perhaps JAK inhibitor therapy. Disclosures Kiladjian: Shire Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees. Zweegman:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen-Cilag: Membership on an entity's Board of Directors or advisory committees, Research Funding. Besses:Shire Pharmaceuticals: honoraria for educational lectures Other. Birgegard:Shire Pharmaceuticals: Consultancy, Honoraria, Research Funding. Etienne:Novartis, BMS, Pfizer, Ariad: Honoraria. Roy:Merck: Peg-Interferon provided for academic clinical trial in CML Other. te Boekhorst:Novartis: Consultancy. Griesshammer:Novartis: Honoraria; Shire: Honoraria; Sanofi: Honoraria; Amgen: Honoraria; Roche: Honoraria. Mesa:Incyte Corporation, CTI, NPS Pharma, Inc., Gilead Science Inc., Celgene: Research Funding.
Prognostic Score and Cytogenetic Risk Classification for Chronic Lymphocytic Leukemia Patients: Center for International Blood and Marrow Transplant Research Report
Ahn, Kwang Woo , Hu, Zhen‐Huan , Volpe, Virginia O. , Antin, Joseph H. , Sorror, Mohamed L. , Press, Oliver W. , Pidala, Joseph, Negrin, Robert S., Uberti, Joseph P., Agura, Edward, Nash, Richard A. , Mehta, Jayesh, Forman, Stephen J. , Langston, Amelia , Hale, Gregory A., Marks, David I. , Ganguly, Sid, Reshef, Ran , Hildebrandt, Gerhard , Inamoto, Yoshihiro , Cahn, Jean‐Yves, Solh, Melhem , Kharfan‐Dabaja, Mohamed A. , Saad, Ayman , Aljurf, Mahmoud , Schouten, Harry C. , Hill, Brian T. , Pawarode, Attaphol , Kindwall‐Keller, Tamila L. , Saba, Nakhle S. , Copelan, Edward A. , Nathan, Sunita , Beitinjaneh, Amer , Černý, Jan , Wirk, Baldeep , Olsson, Richard F. , Bashey, Asad, Sobecks, Ronald , Alyea, Edwin P. , Saber, Wael , Brown, Jennifer R. , Hogan, William, Kharfan-Dabaja, Mohamed A., Saad, Ayman , Press, Oliver , Olsson, Richard F , Reshef, Ran , Kim, Haesook T. , Davids, Matthew S. , Shadman, Mazyar , Hogan, William J. , Devine, Steven M. , McGuirk, Joseph P. , Giralt, Sergio , Perales, Miguel‐Angel , Battiwalla, Minoo , Gale, Robert Peter , Hamadani, Mehdi , Bacher, Ulrike , Lazarus, Hillard M. , Cahn, Jean‐Yves , Ghosh, Nilanjan , Savani, Bipin N. , Grunwald, Michael R. , Yared, Jean A. , Nishihori, Taiga , Chhabra, Saurabh , Gergis, Usama , Popat, Uday R , Sorror, Mohamed

Mayo Clinic

Clinical Cancer Research | June 28, 2019 | Volume: 25 | Issue: 16 | Pages: 5143-5155

10.1158/1078-0432.ccr-18-3988 | PMID 31253630 Get It

Abstract Purpose: To develop a prognostic model and cytogenetic risk classification for previously treated patients with chronic lymphocytic leukemia (CLL) undergoing reduced intensity conditioning (RIC) allogeneic hematopoietic cell transplantation (HCT). Experimental Design: We performed a retrospective analysis of outcomes of 606 patients with CLL who underwent RIC allogeneic HCT between 2008 and 2014 reported to the Center for International Blood and Marrow Transplant Research. Results: On the basis of multivariable models, disease status, comorbidity index, lymphocyte count, and white blood cell count at HCT were selected for the development of prognostic model. Using the prognostic score, we stratified patients into low-, intermediate-, high-, and very-high-risk [4-year progression-free survival (PFS) 58%, 42%, 33%, and 25%, respectively, P &lt; 0.0001; 4-year overall survival (OS) 70%, 57%, 54%, and 38%, respectively, P &lt; 0.0001]. We also evaluated karyotypic abnormalities together with del(17p) and found that del(17p) or ≥5 abnormalities showed inferior PFS. Using a multivariable model, we classified cytogenetic risk into low, intermediate, and high (P &lt; 0.0001). When the prognostic score and cytogenetic risk were combined, patients with low prognostic score and low cytogenetic risk had prolonged PFS (61% at 4 years) and OS (75% at 4 years). Conclusions: In this large cohort of patients with previously treated CLL who underwent RIC HCT, we developed a robust prognostic scoring system of HCT outcomes and a novel cytogenetic-based risk stratification system. These prognostic models can be used for counseling patients, comparing data across studies, and providing a benchmark for future interventions. For future study, we will further validate these models for patients receiving targeted therapies prior to HCT.
Outcomes of haploidentical vs matched sibling transplantation for acute myeloid leukemia in first complete remission
Rashidi, Armin , Hamadani, Mehdi , Zhang, Mei-Jie , Wang, Hai-Lin, Abdel‐Azim, Hisham , Aljurf, Mahmoud , Assal, Amer , Bashey, Asad, Beitinjaneh, Amer , Bejanyan, Nelli , Bolaños‐Meade, Javier , Byrne, Michael , Cahn, Jean‐Yves, Cairo, Mitchell S. , Ciurea, Stefan O. , Copelan, Edward A. , Daly, Andrew , Diaz, Miguel-Angel, Farhadfar, Nosha , Ganguly, Siddhartha , Hahn, Theresa , Hashmi, Shahrukh K. , Hildebrandt, Gerhard , Holland, H. Kent, Hossain, Nasheed , Kanakry, Christopher G. , Kharfan‐Dabaja, Mohamed A. , Khera, Nandita , Martino, Rodrigo , Munker, Reinhold , Murthy, Hemant S. , Nakamura, Ryotaro , Nathan, Sunita , Palmisiano, Neil , Patel, Sagar S. , Pidala, Joseph, Olin, Rebecca L. , Olsson, Richard F. , Ringdén, Olle , Rizzieri, David A. , Rowe, Jacob M. , Savoie, Mary Lynn , Seo, Sachiko , Shaffer, Brian C. , Singh, Anurag K. , Solh, Melhem , Stockerl‐Goldstein, Keith , Verdonck, Leo F. , Wagner, John L. , Waller, Edmund K. , Litzow, Mark R. , Weisdorf, Dan, Saber, Wael , Weisdorf, Daniel J. , Wagner, John E. , Gale, Robert P , Hashmi, Shahrukh K , Hildebrandt, Gerhard C , Kharfan-Dabaja, Mohamed A., McGuirk, Joseph , Murthy, Hemant S , Nishihori, Taiga , Patel, Sagar , Olsson, Richard F , Ringden, Olov , Savoie, Mary Lynn , Wagner, John , Waller, Edmund K , Sandmaier, Brenda M , Litzow, Mark R. , Weisdorf, Dan , Hamadani, Mehdi , Assal, Amer , Martino, Rodrigo , Zhang, Mei‐Jie , Bajel, Ashish R. , Battiwalla, Minoo , Bhatt, Vijaya Raj , Cahn, Jean‐Yves , Cutler, Corey S. , Gale, Robert Peter , Grunwald, Michael R. , Koç, Yener , Lazarus, Hillard M. , Lee, Jong Wook , Maertens, Johan A. , McGuirk, Joseph P. , Nishihori, Taiga , Oran, Betül , Schultz, Kirk R. , Lima, Marcos de , Romee, Rizwan , Rashidi, Armin , Stockerl-Goldstein, Keith

Mayo Clinic

Blood Advances | June 14, 2019 | Volume: 3 | Issue: 12 | Pages: 1826-1836

10.1182/bloodadvances.2019000050 | PMID 31201170 Get It

Abstract HLA-haploidentical hematopoietic cell transplantation (Haplo-HCT) using posttransplantation cyclophosphamide (PT-Cy) has improved donor availability. However, a matched sibling donor (MSD) is still considered the optimal donor. Using the Center for International Blood and Marrow Transplant Research database, we compared outcomes after Haplo-HCT vs MSD in patients with acute myeloid leukemia (AML) in first complete remission (CR1). Data from 1205 adult CR1 AML patients (2008-2015) were analyzed. A total of 336 patients underwent PT-Cy–based Haplo-HCT and 869 underwent MSD using calcineurin inhibitor–based graft-versus-host disease (GVHD) prophylaxis. The Haplo-HCT group included more reduced-intensity conditioning (65% vs 30%) and bone marrow grafts (62% vs 7%), consistent with current practice. In multivariable analysis, Haplo-HCT and MSD groups were not different with regard to overall survival (P = .15), leukemia-free survival (P = .50), nonrelapse mortality (P = .16), relapse (P = .90), or grade II-IV acute GVHD (P = .98). However, the Haplo-HCT group had a significantly lower rate of chronic GVHD (hazard ratio, 0.38; 95% confidence interval, 0.30-0.48; P &lt; .001). Results of subgroup analyses by conditioning intensity and graft source suggested that the reduced incidence of chronic GVHD in Haplo-HCT is not limited to a specific graft source or conditioning intensity. Center effect and minimal residual disease–donor type interaction were not predictors of outcome. Our results indicate a lower rate of chronic GVHD after PT-Cy–based Haplo-HCT vs MSD using calcineurin inhibitor–based GVHD prophylaxis, but similar other outcomes, in patients with AML in CR1. Haplo-HCT is a viable alternative to MSD in these patients.