Systematic Review of the Published Evidence on the Pharmacokinetic Characteristics of Factor VIII and IX Concentrates

Abstract Introduction: The efficacy of factor VIII and IX concentrates administered to prevent bleeding episodes in patients with hemophilia A and B is correlated with the plasma levels measured over time after the infusion. The inter-patient variability of pharmacokinetic (PK) parameters is large, and it is difficult to assess individual PK profiles due to the need for multiple time points. This is often not feasible, particularly for pediatric patients. Population PK modeling potentially provides a practical solution to this problem. The successful modelling of PK parameters at the population level requires knowledge of disposal characteristics and relevant covariates. We performed a systematic review of the available evidence in order to identify available PK data for factor VIII and IX concentrates to facilitate the implementation of a population PK approach. Methods: We conducted a literature search in MEDLINE and EMBASE from January 1997 to May 2014, using the keywords "hemophilia" and "pharmacokinetic". We included only articles that published original PK data for factor VIII and IX concentrates in humans and published in English. Two authors independently screened the studies and extracted the relevant data. Results: We retrieved 237 unique articles published between 1998 and 2013. We excluded 185 articles that did not meet our research criteria. We included 52 articles, with a total of 1365 patients included in PK analyses. 26 articles reported PK data on factor VIII concentrates, 18 articles report PK data on factor IX concentrates, and one article reported on both factor VIII and IX concentrates. Seven articles reported pharmacokinetic data on both factor VIII and Von Willebrand factor concentrates. We extracted the following data: number of patients, type and severity of hemophilia, patient age, factor concentrate infused, dose infused, sampling data points, half-life, clearance, recovery and the model used for pharmacokinetics, and inclusion of patients undergoing surgery or with inhibitors. The main results are summarized in table 1. Conclusions: This review provides the first systematic appraisal of the methods and results of published papers in the field. The data gathered confirms the intra-patient variability of factor concentrate PK and provides useful information on which to build population based PK models. *3 FIX articles and 2 FVIII articles did not report lab test; one article reported PK data for both FIX and FVIII †11 articles reported FVIII PK data for both one-stage clotting and chromogenic assays ǂPapers reporting on long-acting FVIII and FIX were included in the review, but not summarized in the table. For this reason, not all 1365 patients are accounted for in the table §Estimate of the range of the means found in the papers Disclosures Xi: Baxter: Research Funding. Navarro-Ruan:Baxter: Research Funding. Mammen:Baxter: Research Funding. Collins:Baxter: Consultancy, Honoraria, Research Funding, Speakers Bureau; CSL: Consultancy, Honoraria, Research Funding, Speakers Bureau; NovoNordisk: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bayer: Consultancy, Honoraria, Research Funding, Speakers Bureau. Neufeld:Baxter: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer: data safety monitoring board, data safety monitoring board Other; Biogen IDEC: Membership on an entity's Board of Directors or advisory committees; NovoNordisk: Membership on an entity's Board of Directors or advisory committees; Pfiser: consultancy, data and safety monitoring board Other; Octapharma: Research Funding. Dunn:CSL Behring,: Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees; Baxter: Membership on an entity's Board of Directors or advisory committees; Biogen: Membership on an entity's Board of Directors or advisory committees; Pfiser: Membership on an entity's Board of Directors or advisory committees. Iorio:Baxter: Honoraria, Research Funding; Bayer: Honoraria, Research Funding; NovoNordisk: Honoraria, Research Funding; Biogen: Honoraria, Research Funding; Pfiser: Honoraria, Research Funding.

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Patient Reported Financial Toxicity in Acute Leukemia

Blood ◽

10.1182/blood-2018-99-119163 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 4796-4796 ◽

Cited By ~ 1

Author(s):

Thomas G. Knight ◽

Myra Robinson ◽

Michael R. Grunwald ◽

Lauren M. Bohannon ◽

Erin Blackwell ◽

...

Keyword(s):

Acute Leukemia ◽

Board Of Directors ◽

Research Funding ◽

Safety Monitoring ◽

Data Safety Monitoring Board ◽

Financial Toxicity ◽

Advisory Committees ◽

Data Safety ◽

Safety Monitoring Board ◽

Data Safety Monitoring

Abstract Background: Financial Toxicity (FT) is increasingly recognized as a major contributor to morbidity and mortality in a variety of cancers. Treatment of acute leukemia is associated with heavy healthcare utilization and high costs. The purpose of this study was to define rates, risk factors, and mortality implications for FT in patients with acute leukemia using patient reported data. Methods: All patients seen at the Levine Cancer Institute, a tertiary hospital-based leukemia practice, were surveyed prior to each visit over a six-month period. All patients were aged ≥18 years and were diagnosed with acute myeloid leukemia (AML) or acute lymphoblastic leukemia (ALL). The survey consisted of the PROMIS Global-10 measure and two questions from the COST measure. FT was defined as scoring 4 or less (maximum: 10) in agreement with the COST questions: "I know that I have enough money in savings, retirement, or assets to cover the costs of my treatment" and "I am satisfied with my current financial situation." Demographic data and disease characteristics were abstracted from the medical record. Model selection was carried out using logistic regression to identify factors impacting the incidence of financial toxicity. Correlation of numerical financial toxicity scores with PROMIS scores and with mortality data was assessed using linear regression. Results: Of the 106 patients, 58 (54%) met the definition of exhibiting FT. The factors associated with incidence of FT included: age, race, and insurance type. The odds of FT in those patients <65 years of age were 2.7 times the odds of FT in those ≥65, adjusting for race, insurance, and time since first treatment (95% CI: 0.884 - 8.438, p = .081). The odds of FT in African American patients were 4.3 times the odds of FT in Caucasian patients, adjusting for age, insurance, and time since first treatment (CI: 0.408 - 44.824, p = .150). The odds of FT in patients with Medicaid insurance were 14.2 times the odds of FT in patients with commercial insurance, adjusting for age, race, and time since first treatment (CI: 1.658 - 121.862, p = .106). Gender, distance from the hospital, type of acute leukemia, history of blood/marrow transplant, and history of relapsed disease were not found to be significant. There was a significant correlation for both the PROMIS global physical (p < .001) and mental (p < .001) scores with the FT score. Lower FT score (higher degree of FT) was associated with lower mental and physical scores. There was no statistically significant difference in survival between patients with FT scores >4 compared to patients with FT scores <=4; however, there was a trend toward decreased survival in those with lower FT scores (Figures 1 and 2). Conclusions: Patients with acute leukemia represent an extremely vulnerable population for financial toxicity with rates of distress even higher than other reported malignancies. Urgent interventions are indicated in this population. Disclosures Grunwald: Medtronic: Equity Ownership; Cardinal Health: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; Merck: Consultancy, Membership on an entity's Board of Directors or advisory committees; Forma Therapeutics: Research Funding; Janssen: Research Funding; Incyte Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Alexion: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Ariad: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees. Avalos:Juno: Membership on an entity's Board of Directors or advisory committees. Symanowski:Five Prime Therapeutics: Other: Data Safety Monitoring Board ; Boston Biomedical: Other: Data Safety Monitoring Board ; Eli Lily & Co: Other: Data Safety Monitoring Board; Immatics: Other: Data Safety Monitoring Board.

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Hemophilia Prophylaxis No Longer Just for Children without Inhibitors - Increasing Use of Prophylaxis in Other Groups (children with inhibitors and adults with and without inhibitors)

Blood ◽

10.1182/blood.v126.23.3535.3535 ◽

2015 ◽

Vol 126 (23) ◽

pp. 3535-3535 ◽

Cited By ~ 2

Author(s):

Manuel Carcao ◽

Maria L. Avila ◽

Victor S. Blanchette ◽

Elena Santagostino ◽

Carmen Escuriola-Ettingshausen ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Safety Monitoring ◽

Data Safety Monitoring Board ◽

Advisory Committees ◽

Data Safety ◽

Safety Monitoring Board ◽

Data Safety Monitoring ◽

Adults And Children

Abstract Background: Long-term prophylaxis is standard of care in children with severe hemophilia A (SHA) and B (SHB) without inhibitors. Studies have shown benefit from long-term prophylaxis in adults with SH and in both adults and children with SH and inhibitors. Yet there is little data on the prevalence of prophylaxis in these groups. Aim/Methods: To understand the current use of long-term prophylaxis in these groups of patients in countries capable of underwriting the high cost of prophylaxis we surveyed (2013) hemophilia treatment centers (HTCs) in countries where long-term prophylaxis in children is routinely used. Results: 134 HTC from 14 countries in North America, Australasia, and Western Europe reported on 4,763 adults with SH (4,011 SHA; 752 SHB) and on 751 children and adults with inhibitors. Prophylaxis use in these groups is shown in table 1: Table 1. Prophylaxis use in adults with SH (without inhibitors). Adults without inhibitors Children and adults with inhibitors HA HB In ITI setting In non-ITI setting % on Prophylaxis 59 49 29 28 Most common regimen EOD 2 d/wk FEIBA EOD or 3 d/wk FEIBA EOD or 3 d/wk EOD, every other day Adults without inhibitors: A higher proportion of SHA (59%) vs SHB adults (49%) were on prophylaxis (Χ2 p<.001). This was particularly true in the age group of 18-30 y [74% (SHA) vs 60% (SHB)]. For SHA the use of prophylaxis was progressively less in older age groups: 31-40 y (55%), 41-50 y (47%), 51-70 y (39%) and >70 y (29%). There was little drop in the proportion of SHB adults on prophylaxis with increasing age. 67% of SHA adults on prophylaxis were receiving ≥3 infusions/wk while 80% of SHB adults on prophylaxis were receiving ≥2 infusions/wk. Once/wk prophylaxis was reported in 3% of SHA and by 19% of SHB patients on prophylaxis. Daily prophylaxis was rarely reported in both groups. Children and adults with inhibitors: Data was available on 407 children and 344 adults with SH and inhibitors. Table 2 shows the proportion of children and adults on/not on Immune tolerance induction (ITI) and on/not on bypassing agent prophylaxis (BA-P). Most children (78%) were on either ITI (with or without BA-P) or on BA-P alone and as such were having some bleed protection. In contrast only 28% of adults were on either ITI (with or without BA-P) or on BA-P and as such most adults with inhibitors are not on any bleed protection. Table 2. Use of ITI and of BA-P in children and adults with SH (+ inhibitors). 403 children 344 adults On ITI. Not on BA-P 43% 8% On ITI. On BA-P 17% 4% Not on ITI. Not on BA-P 23% 71% Not on ITI. On BA-P 18% 16% In total, 185 patients had received FEIBA prophylaxis while 70 had received rFVIIa prophylaxis. FEIBA prophylaxis was particularly more common (vs. rFVIIa prophylaxis) in the non-ITI setting [FEIBA (n=107 pts) vs rFVIIa (n=33 pts)]. The most common prophylactic FEIBA regimen was EOD or 3/wk while the most common rFVIIa prophylaxis regimen was daily. Conclusions: This survey captured data on 4,763 adults with SHA/SHB and on 751 adults and children with SH and inhibitors. This is the largest survey of prophylaxis in these 2 groups of patients. Given the benefits of prophylaxis in children it is reassuring to observe that prophylaxis in adults (without inhibitors) is more prevalent than previously reported. Use of BA-P in patients with inhibitors still however lags far behind the use of prophylaxis in non-inhibitor patients - particularly in adults. FEIBA is more commonly used for prophylaxis than rFVIIa. Our survey did not capture longterm patient outcome data; this needs evaluation. Note: This abstract includes data presented as separate abstracts at the ISTH 2015 meeting. The data has been combined and analyzed in this abstract to show the increasing use of prophylaxis outside of children without inhibitors. Disclosures Blanchette: Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Octapharma: Other: Data Safety Monitoring Board; Novo Nordisk: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer Healthcare: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Baxter Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Data Safety Monitoring Board, Research Funding. Santagostino:CSL Behring: Speakers Bureau; Pfizer: Research Funding, Speakers Bureau; Biogen/Sobi: Speakers Bureau; Bayer: Speakers Bureau; Novo Nordisk: Speakers Bureau; Baxter/Baxalta: Speakers Bureau; Kedrion: Speakers Bureau; Biotest: Speakers Bureau; Octapharma: Speakers Bureau; Roche: Speakers Bureau. Leissinger:Bayer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; CSL Behring: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novo Nordisk: Membership on an entity's Board of Directors or advisory committees, Research Funding; Baxter: Membership on an entity's Board of Directors or advisory committees, Research Funding; Kedrion: Membership on an entity's Board of Directors or advisory committees; Biogen: Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees. Aledort:Baxter Healthcare: Membership on an entity's Board of Directors or advisory committees, Other: DSMB Participation; Kedrion BioPharma: Consultancy, Membership on an entity's Board of Directors or advisory committees.

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Characterizing the Use of Direct Oral Anticoagulants in Children Using the American Thrombosis and Hemostasis Network Dataset (ATHNdataset)

Blood ◽

10.1182/blood-2019-128324 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1156-1156

Author(s):

Jennifer G. Davila ◽

Dunlei Cheng ◽

Leslie J. Raffini ◽

Courtney D. Thornburg ◽

Fernando F. Corrales-Medina

Keyword(s):

Venous Thrombosis ◽

Board Of Directors ◽

Research Funding ◽

Safety Monitoring ◽

Data Safety Monitoring Board ◽

Advisory Board ◽

Advisory Committees ◽

Data Safety ◽

Safety Monitoring Board ◽

Data Safety Monitoring

Background: The incidence of venous thromboembolism (VTE) in children has risen significantly. (Raffini, Huang et al. 2009) There are currently four direct oral anticoagulants (DOACs) - apixaban, dabigatran, edoxaban, and rivaroxaban - approved for the acute treatment and prevention of VTE in adults. Advantages of these medications over the traditionally used anticoagulants, enoxaparin and warfarin, include fixed dosing, no need for routine laboratory monitoring, few drug interactions and no dietary restrictions. Despite lack of information on the safety and efficacy of these agents in children, pediatric hematologists across the United States are using DOACs in their patients based on extrapolated data from adult studies. The American Thrombosis and Hemostasis Network (ATHN) is a nonprofit network of over 140 federally funded Hemophilia Treatment Centers (HTCs) which provides the infrastructure for clinical and surveillance-based research. ATHN maintains the ATHNdataset (ADS), a "limited dataset" free of protected health information, with data collected on patients with bleeding and clotting disorders at participating HTCs within the Human Resources and Services Administration (HRSA)-supported regional hemophilia networks across the US. The authors acknowledge ATHN, the ATHN-affiliated U. S. Hemophilia Treatment Centers and their 39,000+ patients who have contributed their demographic, clinical, and genetic information to the ATHNdataset. Methods: The objective of this study was to describe the characteristics of pediatric patients diagnosed with VTE in the ADS, focusing on those patients who received a DOAC. Data were abstracted for patients in the ADS who had acute VTE at age <21 years from January 2010 to March 2019. Data extraction included basic demographics and information about VTE and treatment. Results : A total of 1,094 pediatric VTE cases were captured in the ADS. 577 (52.7%) were male. Caucasians were the most prevalent racial group (n = 809; 74%), followed by African-Americans (n = 203; 18.6%).14.9% (n = 163) were Hispanic. Deep venous thrombosis (DVT) was the most prevalent pediatric VTE reported in the ADS (n=889, 81.3%), followed by pulmonary embolism and cerebral venous thrombosis (n=130, 11.9% and n=40, 3.7% respectively). VTE location by age group is listed in Table 1. The most common DVT location was the lower extremities or pelvis, comprising 37.5% (n = 333) of all reported DVTs. Upper extremities or upper thorax DVT occurred less often (n = 211; 23.8 %). 345 (38.8 %) cases were reported only as "DVT" without a specific thrombus location. We reviewed 1,051 anticoagulant prescriptions for 650 VTE patients (mean 1.6 prescriptions per person). Enoxaparin was the most commonly prescribed anticoagulant (n = 676 prescriptions; 64.3%) followed by warfarin (n = 178 prescriptions, 16.9%). Interestingly, 116 (11%) patients, from 21 HTCs, had a DOAC prescribed as their anticoagulant regimen. Anticoagulant prescription by anticoagulant starting age is shown in Table 2. Further analysis of the DOAC subgroup showed that rivaroxaban was the most prescribed DOAC with 77.6% (n = 90/116) of the patients using this agent. Apixaban and dabigatran use was also reported (n= 23, 19.8% and n= 3, 2.6% respectively). The majority of DOACs were prescribed for patients older than 13 years of (111/116, 95.7 %). In children between 3 to 6 years of age (n = 3), rivaroxaban was the only DOAC prescribed. DOACs were primarily used to treat DVT of the extremities (84/116 patients). Other scenarios in which DOACs were also prescribed were PE and abdominal venous thrombosis patients (26, and 4 patients, respectively). Anticoagulant prescription by anticoagulant starting age is shown in Table 2. Conclusion: DVT of the lower extremities and pelvis is the most prevalent pediatric VTE in the ADS. Enoxaparin and warfarin remain the main anticoagulant agents used for pediatric VTE treatment. Despite lack of an FDA-approved pediatric indication, hematologists in US-based HTCs are already using DOACs in pediatric patients with VTE. As further characterization of DOAC use in children is needed, the authors, in collaboration with ATHN, are currently building a multi-institutional retrospective and prospective registry, ATHN 15. This registry will serve as a resource for pediatric hematologists to collect real-world use of DOACs in children, as we await the results of prospective clinical trials. Disclosures Davila: Octapharma: Other: Grant to attend VWD meeting ; Genentech: Other: Advisory board; Spire Learning: Speakers Bureau. Raffini:Bayer: Other: Advisory Board; CSL Behring: Other: Advisory Board; Roche: Other: Advisory Board. Thornburg:Sanofi Genzyme: Research Funding; Bluebird bio: Other: Data Safety Monitoring Board; Genentech: Speakers Bureau; NovoNordisk: Research Funding; Ironwood: Other: Data Safety Monitoring Board; Sanofi Genzyme: Other: Data Safety Monitoring Board. Corrales-Medina:Octapharma: Membership on an entity's Board of Directors or advisory committees; Kedrion: Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda-Shire: Membership on an entity's Board of Directors or advisory committees, Research Funding.

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Primary Central Nervous System Involvement at Initial Diagnosis Remains an Independent Risk Factor for Relapse in Acute Lymphoblastic Leukemia after Allogeneic Hematopoietic Cell Transplantation in CR1

Blood ◽

10.1182/blood-2021-149695 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 2901-2901

Author(s):

Mohamed A. Kharfan-Dabaja ◽

Myriam Labopin ◽

Ali Bazarbachi ◽

Urpu Salmenniemi ◽

Stephan Mielke ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Independent Risk Factor ◽

Hematopoietic Cell Transplantation ◽

Lymphoblastic Leukemia ◽

Safety Monitoring ◽

Data Safety Monitoring Board ◽

Cns Involvement ◽

Advisory Committees ◽

Free Survival

Abstract Background: A recent study from the Acute Leukemia Working Party of EBMT demonstrated that outcomes of allogeneic hematopoietic cell transplantation (allo-HCT) for adults with acute lymphoblastic leukemia (ALL) have improved significantly over time and that total body irradiation (TBI) should be considered as the preferable type of myeloablative conditioning (MAC). This study, however, did not compare outcomes of allo-HCT in patients with CNS involvement (CNS-pos) vs. those without CNS disease (CNS-neg). Study population: Here, we evaluate post allo-HCT outcomes of 547 patients (CNS-pos at initial presentation=96, CNS-neg=451) who underwent the procedure in first complete remission (CR1) between 2009 and 2019 at an EBMT participating transplant center. The distribution of ALL subtypes were as follows: CNS-pos (Ph-neg B ALL=28%, Ph-pos B ALL=27%, and T-cell ALL=45%) and for CNS-neg (Ph-neg B ALL=21%, Ph-pos B ALL=44%, and T-cell ALL=35%), p=0.01. The primary endpoint was leukemia-free survival (LFS). Results: The median follow up was not statistically different between the CNS-pos (78.7 months) and the CNS-neg group (67.2 months), p=0.58. Patients in the CNS-pos group were younger (median age 31.3 vs. 39.7 years, p=0.004), received the procedure more recently (median year 2012 vs. 2010, p=0.003), were less likely to have a Karnofsky score of equal or higher than 90 (70.8% vs. 81.9%, p=0.017), or to have received peripheral blood stem cells (PBSC) (61.5% vs. 72.7%, p=0.028). The groups did not differ in regards to donor source (URD, 50% vs. 56.5%, p=0.24) or the intensity of the preparative regimen (MAC, 82.3% vs. 85.6%, p=0.41). In multivariate analysis, CNS-pos were associated with higher cumulative incidence of relapse (HR=1.58 (95%CI=1.06-2.35), P=0.025) and a trend for an inferior leukemia-free survival (LFS) (HR=1.38 (95%CI=0.99-1.92), p=0.057), but did not adversely impact overall survival (OS) (HR=1.28 (95%CI=0.89-1.85), p=0.18). A subgroup multivariate analysis limited to patients with CNS-pos showed that prescribing a TBI MAC regimen (vs. others) results in a lower cumulative incidence of relapse (HR=0.35 (95%CI=0.15-0.79), p=0.012) and better LFS (HR=0.43 (95%CI=0.22-0.83), p=0.01) and OS (HR=0.44 (95%CI=0.21-0.92), p=0.03). Use of PBSC (vs. BM) was also independently associated with better OS (HR=0.53 (95%CI=0.29-0.99), p=0.046). Conclusion: Notwithstanding the inherent limitations of registry data, particularly ascertaining the absence of CNS involvement in the CNS-neg group, our results show CNS involvement as an independent risk factor for relapse following allo-HCT. Our data support, nonetheless, the choice of a TBI-based MAC regimen in this group of patients but stresses the need for close monitoring of relapse after allo-HCT. Disclosures Labopin: Jazz Pharmaceuticals: Honoraria. Bazarbachi: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Hikma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Astra Zeneca: Membership on an entity's Board of Directors or advisory committees. Mielke: Immunicum: Other: Data safety monitoring board; DNA Prime SA: Speakers Bureau; Gilead/KITE: Other: Travel support, Expert panel ; Miltenyi: Other: Data safety monitoring board; Novartis: Speakers Bureau; Celgene/BMS: Speakers Bureau. Socie: Alexion: Research Funding. Huynh: Jazz Pharmaceuticals: Honoraria. Yakoub-Agha: Jazz Pharmaceuticals: Honoraria. Giebel: Janssen: Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Speakers Bureau. Peric: Therakos, Servier, MSD, Astellas, Novartis, Abbvie, Pfizer: Honoraria. Mohty: Sanofi: Honoraria, Research Funding; Pfizer: Honoraria; Novartis: Honoraria; Takeda: Honoraria; Jazz: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Gilead: Honoraria; Celgene: Honoraria, Research Funding; Bristol Myers Squibb: Honoraria; Astellas: Honoraria; Amgen: Honoraria; Adaptive Biotechnologies: Honoraria.

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Determining Clinical Course of Diffuse Large B-Cell Lymphoma Using Targeted Transcriptome and Machine Learning Algorithms

Blood ◽

10.1182/blood-2021-148841 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 2395-2395

Author(s):

Maher Albitar ◽

Hong Zhang ◽

Andre H. Goy ◽

Zijun Xu-Monette ◽

Govind Bhagat ◽

...

Keyword(s):

Machine Learning ◽

Overall Survival ◽

Board Of Directors ◽

Research Funding ◽

Safety Monitoring ◽

Advisory Committees ◽

Short Survival ◽

Naive Bayesian ◽

Safety Monitoring Board ◽

Naïve Bayesian

Abstract Introduction: Multiple studies have demonstrated that diffuse large B-cell lymphoma (DLBCL) can be divided into subgroups based on their biology. However, these biological subgroups overlap clinically. While R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) remains the standard of care for treating patients with DLBCL, predicting which patients will not benefit from such therapy is important so that alternative therapy or clinical trials can be considered. Most of the studies stratifying patients select biomarkers first, then explore how these biomarkers can stratify patients based on outcome. We explored the potential of using machine learning to first group patients with DLBCL based on survival, then isolating the biomarkers necessary for predicting these survival subgroups. Methods: RNA was extracted from tissue paraffin blocks from 379 R-CHOP treated patients with de novo DLBCL, and from 247 patients with extranodal DLBCL. A targeted hybrid capture RNA panel of 1408 genes was used for next generation sequencing (NGS). Sequencing was performed using an Illumina NextSeq 550 System platform. Ten million reads per sample in a single run were required, and the read length was 2 × 150 bp. An expression profile was generated from the sequencing coverage profile of each individual sample using Cufflinks. A machine learning system was developed to classify patients into four groups based on their overall survival. This machine learning approach based on Naïve Bayesian algorithm was also used to discover the relevant subset of genes with which to classify patients into each of the four survival groups. To eliminate the underflow problem commonly associated with the standard Naïve Bayesian classifiers, we applied Geometric Mean Naïve Bayesian (GMNB) as the classifier to predict the survival group for each patient. Results: Using machine learning, patients were first divided into two groups: short survival (S) and long survival (L). To refine this model, we used the same approach and divided the patients in each group into two subgroups, generating four groups: long survival in the long group (LL), short survival in the long group (LS), long survival in the short group (SL), and short survival in the short group (SS). The hazard ratio for this model was 0.174 (confidence interval: 0.120-0.251), and P-value <0.0001. After defining these four groups, a machine learning algorithm was used to discover the biomarkers from the expression data of the 1408 genes from NGS data. To reduce the effects of noise and avoid overfitting, we employed a 12-step cross validation to obtain a robust measure. For an individual gene, a generalized Naïve Bayesian classifier was constructed on the training of one of the 12 subsets and tested on the other 11 testing subsets. This allowed us to limit the prediction process to 60 genes for each separation step. Using the selected biomarkers, we classified the patients in the original set (379 patients) into LL, LS, SL, and SS groups and then evaluated the survival pattern of these groups. As shown in Fig. 1A, the selected biomarkers predicted survival as expected in the overall survival groups prior to biomarker selection. For additional validation of the system, we used the selected biomarkers to classify a completely new set of 247 samples of patients with extranodal DLBCL. As shown in Fig. 1B, these selected biomarkers successfully predicted the overall survival in this group of patients with an HR of 0.530 (confidence interval: 0.234-1.197, P=0.005). This classification correlated with cell of origin classification, TP53 mutation status, MYC expression, and IRF4 expression. However, in a multivariate analysis, only TP53 mutation was independent in predicting prognosis (P=0.005) and age (below or over 60) (P=0.01) along with the survival grouping (P<0.000001). Conclusions: Using a novel machine learning approach with the expression levels of 180 genes, we developed a model that can reliably stratify patients with DLBCL treated with R-CHOP into four survival subgroups. This model can be used to identify patients who may not respond well to R-CHOP to be considered for alternative therapy and clinical trials. Figure 1 Figure 1. Disclosures Hsi: AbbVie Inc, Eli Lilly: Research Funding. Ferreri: Ospedale San Raffaele srl: Patents & Royalties; BMS: Research Funding; Pfizer: Research Funding; Beigene: Research Funding; Hutchison Medipharma: Research Funding; Amgen: Research Funding; Genmab: Research Funding; ADC Therapeutics: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; PletixaPharm: Membership on an entity's Board of Directors or advisory committees; x Incyte: Membership on an entity's Board of Directors or advisory committees; Adienne: Membership on an entity's Board of Directors or advisory committees. Piris: Millenium/Takeda, EUSA, Jansen, NanoString, Kyowa Kirin, Gilead and Celgene.: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Winter: BMS: Other: Husband: Data and Safety Monitoring Board; Actinium Pharma: Consultancy; Janssen: Other: Husband: Consultancy; Agios: Other: Husband: Consultancy; Gilead: Other: Husband: Consultancy; Epizyme: Other: Husband: Data and Safety Monitoring Board; Ariad/Takeda: Other: Husband: Data and Safety Monitoring Board; Merck: Consultancy, Honoraria, Research Funding; Novartis: Other: Husband: Consultancy, Data and Safety Monitoring Board; Karyopharm (Curio Science): Honoraria.

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MCL-1 and PKA/AMPK Axis Fuel Venetoclax Resistance in Lymphoid Cancers

Blood ◽

10.1182/blood-2019-131336 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1284-1284

Author(s):

Vivian M. Liu ◽

Romain Guièze ◽

Daniel Rosebrock ◽

Alexis A Jourdain ◽

María Hernández-Sánchez ◽

...

Keyword(s):

Transcription Factor ◽

Board Of Directors ◽

Cell Lines ◽

Research Funding ◽

Safety Monitoring ◽

Data Safety Monitoring Board ◽

Advisory Board ◽

Advisory Committees ◽

Data Safety ◽

Genome Wide

Venetoclax, the first approved BH3 mimetic targeting BCL2, demonstrates high response rate in chronic lymphocytic leukemia (CLL) but resistant cases are emerging. Aside from BCL2 mutations affecting venetoclax binding, multiple lines of mounting evidence suggest a role for non-mutational mechanisms underlying resistance to this drug. By applying both CRISPR-Cas9 knock-out and ORF overexpression screens in the lymphoma cell line OCI-Ly1, we previously reported the identification of MCL-1 overexpression and of the AMPK/PKA signaling axis in altering energy metabolism underlying venetoclax resistance (Guieze, ASH 2018). Here, we report further in-depth exploration of the impact of these findings, discovered through the analysis of lymphoid cell lines, and of specimens collected from CLL patients developing venetoclax resistance. The resistant lymphoma cell lines that we generated (OCI-Ly1 and SU-DHL4 cells) displayed increased oxidative phosphorylation (OXPHOS) compared to the parental lines, measured by Seahorse assay. We instead observed that venetoclax rapidly perturbs OXPHOS in sensitive cells. This process is dependent on mitochondrial outer membrane permeabilization, as this effect is abrogated in BAX/BAK1 double knockout (KO) cells. Targeting OXPHOS was shown to synergize with venetoclax in vitro and in vivo, as combination of venetoclax and oligomicin (an inhibitor of the ATP synthase, the complex V of the mitochondrial electron transport chain), was more effective than each drug alone in reducing tumor growth of a subcutaneous NSG xenograft model based on OCI-Ly1. Among the candidate markers driving resistance identified from the genome-wide screens, we focused on AMP pathway members (AMPK and PKA) and the ID3 transcriptional regulator, given that ID3 KO cells demonstrated similar transcriptomic changes than the resistant OCI-Ly1 cells. We found that PRKAR2B (encoding a PKA subunit), already highlighted in our ORF screen, was the top transcript overexpressed when knocking out ID3. To clarify how the dominant-negative transcription factor ID3 regulates PRKAR2B expression, we performed ATAC-seq of the ID3 OCI-Ly1 knockout (vs control) lines in order to determine differential signatures of chromatin accessibility and transcription factor engagement. We showed that ID3 repression leads to genome-wide increased accessibility associated with motifs of the lymphoid transcription factor TCF3. TCF3 has previously been shown to interact with ID3 and to be involved in the transcription of ADIPOQ, which was identified in the GOF screen. TCF3 binding sites were confirmed to be present within putative enhancer regions of PRKAR2B in a B cell context. We then investigated whether our findings could be validated in patient samples. By whole-exome sequencing of matched pretreatment and venetoclax-resistant CLL samples collected from 6 patients, we did not detect any recurrent somatic mutations associated with resistance. The resistant samples from three of 6 patients, however, harbored subclones with 1q amplification in a common region encompassing the MCL1 locus. We identified 4 additional CLL cases relapsing on venetoclax with leukemia samples collected before and after relapse. By immunohistochemical staining of 9 of 10 cases for which tissue was available, we detected increased MCL-1 expression at relapse in 6 of 9 cases (p = 0.026). We furthermore confirmed the involvement of AMPK signaling by detecting evidence of AMPK, ACC and p-ACC expression in 4 of 9 patients (all p = 0.0062). ID3 expression was decreased at matched relapse samples (p = 0.0001), supporting the presence of the resistance circuit we identified above. Taken together, our results identified the increased MCL-1 expression and PKA/AMPK activation as underlying mechanisms for venetoclax resistance. Our data support the implementation of combinatorial therapy with metabolic modulators to address venetoclax resistance. Disclosures Guièze: Abbvie: Honoraria; Roche: Honoraria; Janssen: Honoraria; Gilead: Honoraria. Thompson:AbbVie: Research Funding; Amgen: Consultancy, Research Funding; Pfizer: Research Funding; Pharmacyclics: Research Funding; Genentech: Consultancy, Honoraria; Gilead: Consultancy, Honoraria. Davids:AbbVie, Acerta Pharma, Adaptive, Biotechnologies, Astra-Zeneca, Genentech, Gilead Sciences, Janssen, Pharmacyclics, TG therapeutics: Membership on an entity's Board of Directors or advisory committees; Research to Practice: Honoraria; AbbVie, Astra-Zeneca, Genentech, Janssen, MEI, Pharmacyclics, Syros Pharmaceuticals, Verastem: Consultancy; Acerta Pharma, Ascentage Pharma, Genentech, MEI pharma, Pharmacyclics, Surface Oncology, TG Therapeutics, Verastem: Research Funding. Brown:AbbVie: Consultancy; Acerta Pharma: Consultancy; Loxo: Consultancy, Research Funding; BeiGene: Consultancy; Catapult Therapeutics: Consultancy; AstraZeneca: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Pharmacyclics: Consultancy; Sunesis: Consultancy; TG Therapeutics: Consultancy; Verastem: Consultancy, Research Funding; Sun Pharmaceuticals: Research Funding; Janssen: Honoraria; Teva: Honoraria; Morphosys: Other: Data safety monitoring board; Invectys: Other: Data safety monitoring board; Octapharma: Consultancy; Kite, a Gilead Company: Consultancy, Research Funding; Juno/Celgene: Consultancy; Dynamo Therapeutics: Consultancy; Genentech/Roche: Consultancy; Gilead: Consultancy, Research Funding. Wierda:Xencor: Research Funding; Cyclcel: Research Funding; Genentech: Research Funding; Pharmacyclics LLC: Research Funding; Gilead Sciences: Research Funding; KITE pharma: Research Funding; Oncternal Therapeutics Inc.: Research Funding; Sunesis: Research Funding; AbbVie: Research Funding; Janssen: Research Funding; Acerta Pharma Inc: Research Funding; GSK/Novartis: Research Funding; Miragen: Research Funding; Loxo Oncology Inc.: Research Funding; Juno Therapeutics: Research Funding. Letai:AbbVie, AstraZeneca, Novartis: Consultancy, Research Funding; Zeno Pharmaceuticals, Vivid Bioscience, Flash Therapeutics, Dialectic Therapeutics: Membership on an entity's Board of Directors or advisory committees, Other: Cofounder or Advisory Board member. Neuberg:Pharmacyclics: Research Funding; Madrigal Pharmaceuticals: Equity Ownership; Celgene: Research Funding. Mootha:Jansen Pharmaceuticals: Other: SAB, compensation; 5am Ventures: Other: SAB, compensation; Raze Therapeutics: Other: Founder, SAB, equity. Getz:MuTect, ABSOLTUE, MutSig and POLYSOLVER: Patents & Royalties: MuTect, ABSOLTUE, MutSig and POLYSOLVER; Pharmacyclics: Research Funding; IBM: Research Funding. Wu:Pharmacyclics: Research Funding; Neon Therapeutics: Other: Member, Advisory Board.

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A Phase 1 Trial of Regorafenib in Advanced Myeloid Malignancies

Blood ◽

10.1182/blood-2020-140278 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 5-6

Author(s):

Chi-Joan How ◽

Siyang Ren ◽

Jennifer Lombardi Story ◽

Meghan Bergeron ◽

Julia E. Foster ◽

...

Keyword(s):

Board Of Directors ◽

Dose Escalation ◽

Research Funding ◽

Board Member ◽

Safety Monitoring ◽

Advisory Committees ◽

Expansion Phase ◽

Secondary Aml ◽

Myeloid Neoplasms ◽

Safety Monitoring Board

BACKGROUND: Angiogenesis is increasingly known to play a role in pathogenesis of hematologic malignancies, including myeloid neoplasms. Regorafenib is a multikinase inhibitor that targets angiogenic, stromal and oncogenic kinases including VEGF- 1, 2, 3, TIE-2, PDGFR-β,c-KIT, rRET, RAF-1, FGFR-1, BRAF and p38 MAP kinase. As a result of regorafenib's broad inhibition of kinases and its effects on angiogenesis, this drug has the potential to overcome the limitations of more selective kinase inhibitors and may be associated with efficacy in various myeloid neoplasms, including acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), and myeloproliferative neoplasms (MPN). METHODS: We conducted a single-center, open-label, dose-escalation and expansion phase I trial in patients with relapsed/refractory AML, MPN, or MDS to assess the safety, tolerability, and preliminary efficacy of regorafenib and identify the recommended phase 2 dose (RP2D). A 3+3 dose escalation design was used with 2 planned dose levels (120 mg or 160 mg daily in 28-day cycles), as well as 1 de-escalation level (80 mg daily). An additional 10 patients were treated on an expansion cohort. RESULTS: Six patients were enrolled during the dose escalation phase (3 at 120 mg daily followed by 3 at 160 mg daily), with no DLTs, as defined by a Grade >3 toxicity occurring within the first 28 days after initiation of treatment, and unrelated to the myeloid neoplasm. Therefore, the RP2D of regorafenib was identified as 160 mg daily. Ten additional patients were enrolled on this dose during the expansion phase. The median age was 74 (range 36-84), and 13 (81%) patients were male. Diagnoses included 7 AML, 6 MDS, and 3 MPN patients (Table 1). Dose modifications and delays occurred in 5 and 4 patients, respectively. The median duration of treatment was 56 days or 2.5 cycles (range: 5-410 days, 1-15 cycles). Of the 16 patients, the best overall disease response as measured by IWG criteria included partial remission (in 1 patient with AML), stable disease in 12 (2 de novo AML, 2 secondary AML, 3 MPN, and 5 MDS) patients, and progressive disease in 3 (1 MDS and 2 secondary AML) patients. An initial improvement in absolute neutrophil count and/or hemoglobin was observed in the 6 MDS patients, although this did not meet criteria for hematologic improvement by IWG criteria. All patients have discontinued off treatment. The most frequent Grade 3-4 adverse effects (AEs) included liver function test abnormalities (5.1%), fatigue (4.3%), thrombocytopenia (3.4%), and neutropenia (3.4%) (Table 2). The majority of AEs were grades 1-2. CONCLUSIONS: Regorafenib demonstrates an acceptable safety profile in relapsed/refractory myeloid malignancy patients, a population where few treatment options exist. The majority of patients achieved stable disease. Modest improvements in cell counts were observed in MDS patients, and we are performing correlative studies to clarify regorafenib's mechanism of action and identify populations which may benefit from treatment. Disclosures Amrein: AstraZeneca: Consultancy, Research Funding; Takeda: Research Funding; Amgen: Research Funding. Brunner:Novartis: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Research Funding; AstraZeneca: Research Funding; Forty-Seven Inc: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Fathi:Kura Oncology: Consultancy; Trillium: Consultancy; Boston Biomedical: Consultancy; Pfizer: Consultancy; Daiichi Sankyo: Consultancy; Jazz: Consultancy; Agios: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; PTC Therapeutics: Consultancy; Amphivena: Consultancy; Astellas: Consultancy; Amgen: Consultancy; Seattle Genetics: Consultancy, Research Funding; Abbvie: Consultancy; Blueprint: Consultancy; Kite: Consultancy; Trovagene: Consultancy; Forty Seven: Consultancy; Newlink Genetics: Consultancy; Novartis: Consultancy; BMS/Celgene: Consultancy, Research Funding. Narayan:Sanofi-Genzyme: Other: Current Spouse employment ; Takeda: Other: Prior Spouse employment within 24 months; Genentech: Other: Prior Spouse employment within 24 months and prior spouse equity divested within past 24 months. Neuberg:Pharmacyclics: Research Funding; Madrigak Pharmaceuticals: Current equity holder in publicly-traded company; Celgene: Research Funding. Chen:Takeda: Consultancy; Magenta: Consultancy; Equillium: Other: Data and Safety Monitoring Board Member; AbbVie: Other: Data and Safety Monitoring Board Member; Incyte Corporation: Consultancy; Actinium: Other: Data and Safety Monitoring Board Member; Kiadis: Consultancy. Hobbs:Merck: Research Funding; Constellation: Honoraria, Research Funding; Incyte: Research Funding; Jazz: Honoraria; Novartis: Honoraria; Celgene/BMS: Honoraria; Bayer: Research Funding. OffLabel Disclosure: Regorafenib was used to assess safety and preliminary efficacy in advanced myeloid malignancies

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U.S. Cohort Study of Previously Untreated Patients with Congenital Hemophilia (ATHN 8: PUPs Study): Association between Family History and Age of Diagnosis

Blood ◽

10.1182/blood-2020-138748 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 39-40

Author(s):

Courtney D Thornburg ◽

Kenneth D Friedman ◽

Michael F Guerrera ◽

Chunla He ◽

Lynn M Malec ◽

...

Keyword(s):

Family History ◽

Board Of Directors ◽

Interim Analysis ◽

Research Funding ◽

Hemophilia A ◽

Safety Monitoring ◽

Data Safety Monitoring Board ◽

Severe Hemophilia ◽

Advisory Committees ◽

Age Of Diagnosis

Introduction: ATHN 8: U.S. Cohort Study of Previously Untreated Patients (PUPs) with Congenital Hemophilia is sponsored by the American Thrombosis and Hemostasis Network (ATHN) and is being conducted at ATHN-affiliated sites in the United States. The ATHN 8: PUPs Study collects detailed demographic, diagnosis, treatment, bleed, and inhibitor data on children with moderate and severe hemophilia born on or after January 1, 2010 and followed at an ATHN-affiliated hemophilia treatment center (HTC). The endpoint for the overall study is inhibitor development or achieving 50 exposure days. A confirmed inhibitor is defined as two consecutive positive inhibitor titers (>0.5 Nijmegen Bethesda Units (BU) for hemophilia A and >0.3 Nijmegen BU for hemophilia B) which results in change in treatment. Available family history is also collected. For this interim analysis, we hypothesized that children with severe hemophilia A (HA) and a family history (FH) of hemophilia would have earlier age of diagnosis. Methods: Available data through April 30, 2020 were analyzed for participants with severe HA (factor VIII <1%) born between January 1, 2010 and December 31, 2019. Diagnostic history, circumcision, and bleeding and treatment within the first 30 days of life were compared between participants with and without a known FH. Results: Twenty-six HTCs have enrolled 112 male participants with severe HA. FH regarding hemophilia is known in 94 (84%) and positive in 60 (64%). Patients with a positive FH compared to patients without a positive FH were diagnosed significantly earlier and were less likely to have circumcision (Table 1). Bleeding rate and factor exposure rate was similar within the first 30 days of life. Among 46 subjects who bled within the first 30 days of life, 6 (13.0%) bled due to circumcision (2 have a positive family history, and 4 have a negative family history); 34/46 (74%) had other bleeding events within the first 30 days. Conclusions: The interim analysis of PUPs born with severe HA between 2010-2019 demonstrates a majority have a FH of HA which is associated with an earlier age at diagnosis compared to those without a FH. Those without a FH of HA have higher rates of circumcision. Earlier identification of hemophilia could result in perinatal management strategies and avoidance of procedures such as circumcision that could result in bleeding. Disclosures Thornburg: NovoNordisk: Research Funding; Genentech: Speakers Bureau; American Thrombosis and Hemostasis Network: Research Funding; National Hemophilia Foundation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer Pharmaceuticals: Research Funding; Spark Therapeutics: Consultancy; Sanofi Genzyme: Consultancy, Other: Data Safety Monitoring Board, Research Funding; Bluebird Bio: Consultancy; Ironwood Pharmaceuticals: Consultancy, Other: Data Safety Monitoring Board; Biomarin: Consultancy, Speakers Bureau. Friedman:Alexion: Speakers Bureau; Instrumentation Laboratories: Consultancy; Alexion: Consultancy; Bayer: Consultancy. Guerrera:NovoNordisk: Consultancy, Speakers Bureau; Kedrion: Consultancy; Biomarin: Speakers Bureau; Sanofi Genzyme: Speakers Bureau; Takeda: Consultancy. Malec:SOBI: Consultancy; Bayer: Consultancy; CSL: Consultancy; Takeda: Consultancy; Sanofi Genzyme: Consultancy, Research Funding, Speakers Bureau. Simpson:HEMA Biologics: Consultancy, Honoraria; Octapharma: Consultancy, Honoraria, Research Funding; Bayer: Consultancy, Honoraria, Speakers Bureau; CSL Behring: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Novo Nordisk: Consultancy, Honoraria, Speakers Bureau; Bioverativ/Sanofi: Research Funding. Tarantino:Spark: Membership on an entity's Board of Directors or advisory committees; HRSA: Membership on an entity's Board of Directors or advisory committees; CDC: Membership on an entity's Board of Directors or advisory committees; Dova: Membership on an entity's Board of Directors or advisory committees; Pfizer: Other; NovoNordisk: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Research Funding; Octapharma: Membership on an entity's Board of Directors or advisory committees; Grifols: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Genentech: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Sobi: Membership on an entity's Board of Directors or advisory committees; Biomarin: Membership on an entity's Board of Directors or advisory committees. Carpenter:Novo Nordisk: Honoraria; Shire: Research Funding; Genentech, Inc.: Honoraria; Kedrion: Honoraria; CSL Behring: Research Funding; Hemostasis & Thrombosis Research Society: Membership on an entity's Board of Directors or advisory committees; American Academy of Pediatrics: Other: PREP Heme/Onc editorial board; American Thrombosis and Hemostasis Network: Membership on an entity's Board of Directors or advisory committees.

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BTK and/or PLCG2 Mutations in Patients with Chronic Lymphocytic Leukemia (CLL) Treated with Ibrutinib: Characteristics and Outcomes at the Time of Progression

Blood ◽

10.1182/blood-2019-125411 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 3050-3050 ◽

Cited By ~ 1

Author(s):

Paul J. Hampel ◽

Timothy G. Call ◽

Sara J. Achenbach ◽

Kari G Rabe ◽

Wei Ding ◽

...

Keyword(s):

Median Time ◽

Research Funding ◽

Resistance Mutation ◽

Safety Monitoring ◽

Data Safety Monitoring Board ◽

Data Safety ◽

Safety Monitoring Board ◽

Progression Of Disease ◽

Richter’S Transformation ◽

Richter's Transformation

INTRODUCTION Mutations in BTK and PLCG2 have been reported to occur in ~80% of CLL patients (pts) who have progression of disease on ibrutinib therapy (Woyach, JCO 2017; Ahn, Blood 2017). These mutations are described as appearing months before actual relapse and thus considered as a potential predictive biomarker for future relapse (Quinquenel, Blood 2019). However, the outcomes of these pts after disease progression are not well described. In this study, we seek to investigate time to next therapy and overall survival (OS) following progression among CLL pts on ibrutinib therapy with and without these resistance mutations. METHODS Between 10/2012 and 6/2019, we identified 34 pts in the Mayo Clinic clinical CLL resource who progressed while receiving ibrutinib therapy and also had testing for BTK and PLCG2 mutation performed as part of routine clinical practice at either NeoGenomics Laboratories or The Ohio State University. OS was calculated from time of ibrutinib progression to last known alive or death date; OS was plotted using Kaplan Meier methods and was compared using the log-rank test between various groups (e.g., mutation positive vs negative; CLL progression vs Richter's). Cumulative incidence of time to next treatment in those who had a treatment after progression was adjusted for the competing risk of death. RESULTS Of 34 pts who progressed while receiving ibrutinib, 26 pts experienced CLL progression and 8 pts had Richter's transformation; baseline characteristics in Table 1A. The presence of a BTK or PLCG2 mutation was found in 20/34 (59%) pts (specific mutations in Table 1B). BTK mutation alone was present in 9 pts, 7 pts had PLCG2 mutation alone, and 4 pts had both mutations. Median time between a positive test and start of next therapy was 4 months (range 1-19 months) and did not vary between BTK vs PLCG2 mutations. Among the 26 pts with CLL progression, 18 (69%) pts had a mutation present: BTK alone (n=8), PLCG2 alone (n=6), both (n=4). Therapy following progression on ibrutinib in these pts was as follows: venetoclax (n=16; 11 pts who continued ibrutinib in combination), idelalisib (n=4), investigational treatments (n=2), continued ibrutinib alone (n=2), dose-adjusted EPOCH-R (etoposide, prednisone, vincristine, cyclophosphamide, doxorubicin, and rituximab; n=1), and unknown (n=1). Twelve of the 26 pts with CLL progression on ibrutinib, including 8 pts with a prior resistance mutation detected, had subsequent progression of disease on the aforementioned next line therapy. Treatment of these patients consisted of the following: restarted ibrutinib in addition to current treatment of venetoclax (n=5), venetoclax (n=2), pembrolizumab (n=2; 1 pt with continued ibrutinib), obinutuzumab with continued ibrutinib (n=1), gemcitabine and vinorelbine with continued ibrutinib (n=1), and no further treatment (n=1). Among the 8 pts with Richter's transformation as the initial progression event on ibrutinib after mutation testing, 1 pt had a BTK mutation and 1 pt had a PLCG2 mutation. Treatments following progression on ibrutinib included multi-agent chemoimmunotherapy (n=3; 2 pts received rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone [R-CHOP] with continued ibrutinib and 1 pt received doxorubicin, bleomycin, vinblastine, dacarbazine [ABVD] alone), pembrolizumab (n=3; 1 pt in combination with continued ibrutinib), venetoclax in combination with continued ibrutinib (n=1), and venetoclax and obinutuzumab (n=1). The median time to next treatment (second line of treatment beyond ibrutinib) for the 31 pts who started another therapy following progression on ibrutinib was 16.7 months (95% CI 9.6-NE; Figure 1A) and was not significantly different for pts with or without a resistance mutation (p=0.57). Median OS for all 26 pts with CLL progression was 28.7 month and there was no difference according to presence or absence of a resistance mutation (median 28.7 months vs 18.2 months, p=0.53; Figure 1B). The 8 pts with Richter's transformation had a median OS of 7.1 months (95% CI 2.0-NE). CONCLUSION Approximately 60% of pts tested in this progression cohort had a BTK or PLCG2 mutation at time of or preceding progression on ibrutinib therapy. OS and time to next therapy did not differ statistically between pts with mutated vs non-mutated clones; however, caution should be applied with the conclusions given the limited sample size. Disclosures Ding: DTRM Biopharma: Research Funding; Merck: Research Funding. Kenderian:Novartis: Patents & Royalties, Research Funding; Tolero: Research Funding; Humanigen: Other: Scientific advisory board , Patents & Royalties, Research Funding; Lentigen: Research Funding; Morphosys: Research Funding; Kite/Gilead: Research Funding. Kay:MorphoSys: Other: Data Safety Monitoring Board; Infinity Pharmaceuticals: Other: DSMB; Celgene: Other: Data Safety Monitoring Board; Agios: Other: DSMB. Parikh:Ascentage Pharma: Research Funding; Genentech: Honoraria; Janssen: Research Funding; AstraZeneca: Honoraria, Research Funding; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding; AbbVie: Honoraria, Research Funding; Acerta Pharma: Research Funding.

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Treatment Of Serious Bleeds With a B-Domain Deleted Recombinant Porcine Sequence Factor VIII (OBI-1) In Patients With Acquired Hemophilia A: A Prospective Clinical Trial

Blood ◽

10.1182/blood.v122.21.206.206 ◽

2013 ◽

Vol 122 (21) ◽

pp. 206-206 ◽

Cited By ~ 1

Author(s):

Rebecca Kruse-Jarres ◽

Jean St. Louis ◽

Anne Greist ◽

Amy D. Shapiro ◽

Hedy Smith ◽

...

Keyword(s):

Factor Viii ◽

Board Of Directors ◽

Research Funding ◽

Hemophilia A ◽

Positive Response ◽

Acquired Hemophilia A ◽

Advisory Committees ◽

Baxter Healthcare ◽

Bayer Healthcare ◽

Travel Grant

Abstract Introduction Acquired hemophilia A (AHA) is a rare bleeding disorder, resulting from auto-antibodies to human factor VIII (hFVIII). The challenges created by the management of AHA and the co-morbidities present in this typically elderly population, can be managed by a recombinant, highly pure, B-domain deleted, porcine sequence FVIII (OBI-1) that is not generally susceptible to the inhibitory activity of anti-human FVIII antibodies. Treatment with OBI-1 allows for monitoring of FVIII levels which provides a reproducible and objective surrogate predictor of hemostasis. Eradication of hFVIII inhibitors with immunosuppressive therapy is critical for disease management. During immunosuppression, the patient transitions from a bleeding state at initial presentation to a relative hypercoagulable state which can be an issue in patients who are susceptible to thromboembolic events due to their comorbidities. This transition period is of most concern especially when using traditionally utilized bypassing agents that cannot be monitored. OBI-1 enables measurement of FVIII levels, guiding dosing and enhancing treatment safety during this critical period. Methods This global, prospective, multi-center phase 2/3 open label clinical trial investigates the efficacy and safety of OBI-1 in the treatment of serious bleeds in adults with AHA conducted under ICH guidelines and local IRB/Ethics Committee oversight. Primary efficacy endpoint was assessed at 24 hours (eg. effective, partially effective). All subjects (N= 18) presented with a serious bleed and were treated with an initial dose of OBI-1 (200 U/kg), followed by additional doses based on the subject's target factor VIII levels, anti-OBI-1 titer, and clinical factors. Results In all 18 subjects, a positive response (14 effective/4 partially effective) to treatment was observed at 24 hours. This positive response to OBI-1 treatment was seen by 8 hours in 14/18 of the subjects and at 16 hours in 16/18 of the subjects. Median total exposure to OBI-1 per subject was 1782.5 U/kg. The median total first dose was 14,000 U. For subjects who received additional doses of OBI-1, the median dose was reduced from the initial dose, but did not differ considerably over subsequent doses (9180 to 13561 U; median 11000 U). The majority of subjects (17/18) received concomitant immunosuppressive therapies. No related serious adverse reactions occurred. Non-serious adverse events related to treatment were noted in 5/18 (27.8%) subjects. One subject had mild tachycardia, hypotension and constipation. One subject had 2 instances of mild PICC line occlusion. One subject had a mild hypofibrogenemia. All of these adverse effects completely resolved. Three subjects developed anti-porcine inhibitors after infusion of study drug (range 8-108 BU) and two were discontinued from treatment. Anti-porcine inhibitors were detected prior to infusion in 6/18 patients (range 0.8-29 BU). All of these subjects had a favorable clinical response at 24 hours post-OB-1 infusions. Conclusions Data from this prospective study demonstrate OBI-1 as a safe and effective treatment of bleeding episodes in patients with AHA, with the added advantage over other bypass therapies of allowing FVIII monitoring throughout treatment and healing phase. Disclosures: Kruse-Jarres: Baxter Healthcare: Consultancy; Bayer HealthCare: Consultancy; Biogen IDEC: Consultancy; Grifols: Consultancy; Kedrion: Consultancy; Novo Nordisk: Consultancy. St. Louis:CSL Behring: Research Funding; Octapharma: Consultancy, Research Funding; Baxter: Consultancy; Novo Nordisk: Honoraria. Shapiro:Kedrion Biopharma: Consultancy; Chugai Pharma USA: Consultancy; Biogen IDEC: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Bayer HealthCare: Membership on an entity’s Board of Directors or advisory committees; Novo Nordisk: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Baxter Healthcare: Consultancy, Membership on an entity’s Board of Directors or advisory committees. Chowdary:Baxter Healthcare: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Travel grant Other; Novo Nordisk: Honoraria, Research Funding, Travel grant, Travel grant Other; Bayer HealthCare: Honoraria, Travel grant, Travel grant Other; Pfizer: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Travel grant, Travel grant Other; CSL Behring: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Travel grant Other; Biogen IDEC: Honoraria, Travel, Travel Other. Drebes:Octapharma: Travel grant Other; CSL Behring: Travel grant, Travel grant Other; Leo-pharma: Travel grant, Travel grant Other; Bayer Healthcare: Consultancy, Honoraria. Gomperts:Baxter Healthcare: Consultancy; Asklepios Biopharmaceutoicals Inc: Consultancy; Cangene Inc: Consultancy. Chapman:Baxter Healthcare: Employment. Mo:Baxter Healthcare: Employment. Novack:Baxter Healthcare: Employment. Farin:Baxter Healthcare: Employment.

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