A Systematic Review of Ultrasound Imaging As a Tool for Evaluating Hemophilic Arthropathy in Children and Adults

Abstract PURPOSE: To semi-quantitatively assess the evidence on the value of ultrasound (US) for assessment of hemophilic arthropathy (HA) in children and adults. We sought to provide the answer to the following questions: (1) Are currently available US techniques accurate for early diagnosis of pathological findings? (2) Can treatment reduce the incidence of US-detectable findings in HA? (3) Do US scores correlate with clinical/radiological constructs in the evaluation of HA? (4) Are US findings associated with functional status of joints? METHODS: Articles were screened using MEDLINE (n= 519), EMBASE (n= 493), and the Cochrane Library (n=24) (1946-2015). Two independent reviewers assessed the reporting quality and the methodological quality of articles by using the Standards for Reporting of Diagnostic Accuracy (STARD) and the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tools respectively. 4 different US scanning protocols for assessment of hemophilic joints were compared based on scanning times and anatomical landmarks. 6 US scoring systems were also compared according to number of soft-tissue and osteochondral parameters evaluated. RESULTS: Out of 16 full-text articles, 9 diagnostic accuracy studies (417 patients with hemophilia A, B and von Willebrand's disease) were evaluated for reporting and methodological quality using STARD and QUADAS-2 assessment tools respectively. Seven studies were of moderate reporting quality and 2 of low reporting quality. When using QUADAS-2, 1 study was of high, 3 of moderate, 2 of low, and 3 of very low methodological quality. Out of 9 diagnostic accuracy studies, 1 evaluated HA in ankles, knees, elbows, and shoulders while 3 evaluated ankles, knees, and elbows and only 2 evaluated ankles and knees. 2 more studies focused solely on knees and 1 on shoulders. Six US interpretation scores were reviewed and compared. All 6 articles included synovial hypertrophy in their evaluation. 5 articles incorporated cartilage modification while only 2 articles assessed hemosiderin deposition in their evaluation. Among these 6 scores, 4 were of moderate reporting quality, 1 of low and 1 of very low reporting quality. When using QUADAS-2 however, only 1 study was of high, 1 of moderate, 2 of of low, and 2 of very low methodological quality. Four US scanning protocols were also assessed, all evaluated the joints in both prone and supine positions. 3 suggested an extended scanning procedure of up to 30 minutes per joint, while 1 proposed a more simplified procedure. Two scanning protocols evaluated knees and ankles, while one focused on elbows. Only one scanning protocol included ankles, knees, and elbows in its assessment. CONCLUSIONS: There is insufficient evidence (Grade I) to recommend US as an accurate technique for early diagnosis of pathologic findings, to demonstrate that US scores correlate with clinical/radiological constructs, that treatment can reduce the incidence of US-detectable findings in HA, and to prove an association between US findings and the functional status of the joint. Further studies are required to establish standardized US scanning protocols and scoring systems and to determine US as a valuable tool for early diagnosis of hemophilic arthropathy (HA) in children and adults. ACKNOWLEDGEMENTS: This work was funded by Novo Nordisk Health Care AG. Disclosures Abadeh: Novo Nordisk Health Care AG: Other: Funding. Blanchette:Bayer Healthcare: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; 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; Baxter Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Data Safety Monitoring Board, Research Funding. Doria:Novo Nordisk Health Care AG: Other: Funding.

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Proposal of a Novel Latin American International Prognostic Index (LATAM-IPI) for Diffuse Large B-Cell Lymphoma (DLBCL) By the Grupo Para El Estudio De Linfoproliferativos En Latino-America (GELL)

Blood ◽

10.1182/blood-2020-142836 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 25-27

Author(s):

Luis Villela Villela ◽

Ana Ramirez-Ibarguen ◽

Brady E Beltran ◽

Camila Peña ◽

Denisse A. Castro ◽

...

Keyword(s):

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Scoring Systems ◽

Risk Groups ◽

Training Set ◽

Extranodal Involvement ◽

Advisory Committees ◽

Internal Validation ◽

Biological Variables

Introduction. There are different scoring systems to differentiate risk groups in patients with DLBCL treated with chemoimmunotherapy. Those systems have used the same 5 variables (age, performance status, LDH, stage, extranodal involvement) for 27 years. However, LATAM data have not been included in the development of previous scoring systems. It is important to mention that novel biological variables, such as albumin, beta-2-microglobulin (B2M) and platelet/lymphocyte ratio (PLR), have been reported and could improve discrimination (Villela et al. Blood 2019; 134Suppl_1: 1613). Therefore, we carried out a large, multinational study to develop and validate a LATAM-IPI score. Methods. This is a retrospective cohort of 1030 patients with a diagnosis of DLBCL treated with standard chemoimmunotherapy with curative intent between 2010 and 2018. Data were obtained from 8 LATAM countries: Argentina, Colombia, Chile, Guatemala, Mexico, Paraguay, Peru, and Venezuela. The five classic IPI variables (age, ECOG, extranodal involvement, LDH, stage) were analyzed and albumin and PLR were added (Villela et al. Blood 2019; 134Suppl_1: 1613). B2M was not included because it was not requested regularly in all countries. Development of LATAM-IPI: The training set consisted of 85% of the sample, randomly selected, and the remaining 15% was reserved for internal validation. Using the training set, the univariate and multivariate association between clinical prognostic factors and OS was analyzed fitting Cox proportional-hazard models. Outcomes. Clinical characteristics of the training (n=878) and internal validation (n=151) cohorts are shown in Table 1. There were no statistical differences in baseline characteristics between the cohorts. The median follow-up for the whole cohort was 36 months (IQR: 11-57). When exploring the classic IPI variables on the training set, all variables were associated with high risk of mortality [age 65-74, Hazard Ratio (HR) 1.24, 95% CI 0.96 to 1.58, p=0.08; age ≥75, HR 1.71, 95% CI 1.28 to 2.28, p=0.0003), ECOG (≥ 2, HR=2, 95% CI 1.61 to 2.53; p<0.0001), EN (≥2, HR=1.53, 95% CI 1.18 to 1.97; p=0.0012), stage (III/IV, HR=2.1, 95% CI 1.64 to 2.69; p<0.0001) and LDH (ratio 1.1-2.9, HR=1.55, 95% CI 1.22 to 1.97; p=0.0003; ratio ≥3, HR= 2.68, 95% CI 1.93 to 3.7, p<0.0001). Similarly, the biological variables Albumin (≤3.5 mg/dL, HR 2.37, 95% CI 1.9 to 2.95, p<0.0001) and PLR (≥273, HR= 1.52, 95% CI 1.23 to 1.87; p=0.0001) were associated with high risk of death. Next, these variables were evaluated by multivariate analysis. The independent variables were albumin (<3.5 mg/dL, HR 1.84, 95% CI 1.45 to 2.3, p<0.0001, 1 point), LDH (ratio 1.1 to 2.9, HR 1.30, 95% CI 1.02 to 1.67, p=0.03, 1 point; ratio ≥3, HR=1.84, 95% CI 1.31 to 2.5, p=0.0004, 2 points), advanced stage (HR 1.65, 95% CI 1.27 to 2.13, p=0.0001, 1 point), age (≥75, HR= 1.51, 95% CI 1.15 to 1.98, p=0.003, 1 point), and ECOG (≥2, HR 1.40, 95% CI 1.10 to 1.77, p=0.005). Now, for the development of LATAM-IPI, the groups were distributed as follows: 0 points, low; 1-3 points, intermediate; 4-6 points, high risk. There were no differences in the distribution of the risk groups between training and validation sets (Table 2). In the learning cohort, the 5-year OS rates for low, intermediate and high risk were 81%, 63% and 33%, respectively (p<0.0001). In the validation cohort, the 5-year OS rates for low, intermediate and high risk were 81%, 63% and 44%, respectively (p=0.02) (Figure 1). Conclusions: Using multinational learning and validation cohorts including over 1,000 DLBCL patients treated with standard chemoimmunotherapy in LATAM, we developed a novel LATAM-IPI score using age ≥75 years, ECOG ≥2, advanced stage, LDH ratio (1.1-29 and ≥3) and albumin <3.5 mg/dl. Next steps are to disseminate our results with other involved researchers in LATAM to prospectively assess and reproduce our results. We expect this score will help to further define the prognosis of DLBCL patients in LATAM. Disclosures Villela: amgen: Speakers Bureau; Roche: Other: advisory board, Speakers Bureau. Idrobo:Janssen: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau; Abbvie: Honoraria, Speakers Bureau; Tecnofarma: Honoraria, Speakers Bureau; Takeda: Honoraria, Speakers Bureau. Gomez-Almaguer:Amgen: 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; AbbVie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene/BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Castillo:Janssen: Consultancy, Research Funding; TG Therapeutics: Research Funding; Kymera: Consultancy; Abbvie: Research Funding; Beigene: Consultancy, Research Funding; Pharmacyclics: Consultancy, 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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Clonal Hematopoiesis Is Associated with Increased Risk for Therapy-Related Myeloid Neoplasms in Chronic Lymphocytic Leukemia Patients Treated with Chemo(immuno)Therapy

Blood ◽

10.1182/blood-2020-140232 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 19-20

Author(s):

Maria Teresa Voso ◽

Tatjana Pandzic ◽

Michail Iskas ◽

Marija Denčić-Fekete ◽

Eleonora De Bellis ◽

...

Keyword(s):

Health Care ◽

Chronic Lymphocytic Leukemia ◽

Board Of Directors ◽

Research Funding ◽

Lymphocytic Leukemia ◽

Advisory Committees ◽

For Profit ◽

Myeloid Neoplasms ◽

Health Care Company ◽

Care Company

Clonal haematopoiesis of indeterminate potential (CHIP) is defined by the detection of somatic mutations in genes recurrently mutated in myeloid neoplasms (MNs), in the blood of healthy individuals with normal blood values and lack of morphological evidence of MN. Recent studies have highlighted the potential association between CHIP and the development of MN, in particular therapy-related MN (t-MN) in patients with lymphoma treated with chemotherapy and/or autologous stem-cell transplantation. In the present study, we investigated whether the presence of CHIP is associated with a higher risk for the development of t-MN in patients with chronic lymphocytic leukemia (CLL) treated with chemo(immuno)therapy, including fludarabine and cyclophosphamide combinations. To this end, we studied 9 patients with CLL who developed a t-MN [acute myeloid leukemia (AML): n=6, myelodysplastic syndrome (MDS): n=3] after the administration of chemo(immuno)therapy (FCR: n=7, other, n=2), with available samples collected both before CLL treatment and at diagnosis of t-MN. The median interval between the two samples was 26 months (range: 9-38months). NGS was performed on DNA extracted from bone marrow mononuclear cells (MNCs) at t-MN diagnosis, using the Trusight Myeloid Sequencing Panel (n=4) and the Archer VariantPlex Myeloid kit (n=5). Backtracking of the variants detected at the t-MN phase was performed by NGS of DNA extracted from peripheral blood MNCs (n=8) or CD19+ selected cells (n=1) in the samples from the CLL phase. In case no variants were detected in the t-MN phase, targeted digital droplet PCR (ddPCR) was also performed in paired CLL samples to confirm the presence of the variants. Moreover, using the Trusight Myeloid Sequencing Panel, we evaluated the prevalence of CHIP in a population cohort of 285 patients with CLL at the time of diagnosis. The variant allele frequency (VAF) cut-off for the detection of the variants was set to 5%. Variants were reported if meeting the following criteria: (i) located within an exonic or splicing region; (ii) be non-synonymous; (iii) not listed in the gnomAD database, if not also recurrently reported in Cosmic v85. Overall, 16 variants were detected in 7/9 cases analyzed at the time of t-MN [NRAS (n=4), DNMT3A (n=3), TET2 (n=2), EH2 (n=2), TP53 (n=2), KRAS (n=1), U2AF1 (n=1) and SF3B1 (n=1)], while no variants were detected in 2 t-MN samples. In 6/7 cases with detectable variants at t-MN diagnosis, the same variants were present at the CLL phase with either lower (n=4) or similar (n=2) VAF. Overall, CHIP was detectable in 6/9 (66.7%) CLL patients who later developed a t-MN. Among the untreated CLL patients, 45 CHIP-related variants were detected in 35/285 cases (12%) as 7 patients harbored more than one variant. The median VAF was 12.7% (5.1-58.6%) with 27/45 (60%) having a VAF<20%. The affected genes were: DNMT3A (n=9), ASXL1 (n=8), KRAS (n=7), BCOR (n=3), NRAS (n=3), TET2 (n=2), U2AF1 (n=2), PTPN11 (n=2), HRAS (n=2), JAK2 (n=1), CBL (n=1), CALR (n=1), IDH2 (n=1), MPL (n=1), PHF6 (n=1) and ETV6 (n=1). CHIP was not associated with advanced age. Subgroup-analysis amongst CHIP-patients revealed: (i) enrichment of additional CHIP-related variants, male gender and younger age in carriers of ASXL1 variants and (p=0.1, p=0.008 and p=0.06; (ii) a bias towards female gender in patients with DNMT3A variants (p=0.008). The difference in the prevalence of CHIP between patients with CLL developing a t-MN (6/7) and those in the untreated cohort (35/285) was statistically significant (p<0.001). In conclusion, CHIP is significantly enriched in patients with CLL developing t-MNs after the administration of chemo(immuno)therapy, with obvious therapeutic implications especially in the era of targeted agents. The significance of CHIP in CLL should be further evaluated in the context of large clinical studies. MTV and TP contributed equally. EF and PB contributed equally. Disclosures Voso: Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Scarfo:Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Honoraria; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Membership on an entity's Board of Directors or advisory committees. Ghia:ArQule: Consultancy, Honoraria; BeiGene: Consultancy, Honoraria; Gilead: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company), Research Funding; Acerta/AstraZeneca: Consultancy, Honoraria; Adaptive, Dynamo: Consultancy, Honoraria; Novartis: Research Funding; Janssen: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company), Research Funding; Sunesis: Consultancy, Honoraria, Research Funding; MEI: Consultancy, Honoraria; Lilly: Consultancy, Honoraria; Celgene/Juno: Consultancy, Honoraria. Stamatopoulos:AstraZeneca: Honoraria; Janssen, Gilead, Abbvie: Honoraria, Research Funding.

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

Blood ◽

10.1182/blood.v124.21.2818.2818 ◽

2014 ◽

Vol 124 (21) ◽

pp. 2818-2818

Author(s):

Menchen Xi ◽

Tamara Navarro-Ruan ◽

Sunil Mammen ◽

Victor S. Blanchette ◽

Cedric R. Hermans ◽

...

Keyword(s):

Factor Viii ◽

Board Of Directors ◽

Research Funding ◽

Safety Monitoring ◽

Data Safety Monitoring Board ◽

Advisory Committees ◽

Safety Monitoring Board ◽

Population Pk ◽

Viii And Ix ◽

Factor Concentrate

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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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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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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MRI-Derived Radiomics of Hemophilic Arthropathy Is Associated with Severity of Joint Disease

Blood ◽

10.1182/blood-2021-151003 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 2958-2958

Author(s):

Bolin Song ◽

Vidya Sankar Sankar Viswanathan ◽

Jonathan Nutt ◽

Lin Li ◽

Navid Faraji ◽

...

Keyword(s):

Board Of Directors ◽

Disease Severity ◽

Severity Score ◽

Research Funding ◽

Joint Disease ◽

Disease Severity Score ◽

Advisory Committees ◽

Hemophilic Arthropathy ◽

Mri Scans ◽

History Of

Abstract Introduction Joint bleeding resulting in synovial hypertrophy and articular cartilage damage are the hallmarks of hemophilic arthropathy. Early prophylaxis with extended half-life factor products and non-factor replacement therapies reduce joint bleeds but do not provide complete protection from development of arthropathy. MRI is the gold standard imaging technique to diagnose and monitor arthropathy in hemophilia. MRI changes that are associated with joint bleeding and development of arthropathy, however, are not sensitive enough to detect early changes in the synovial membranes after sub-clinical bleeding. Radiomics, the computerized extraction of sub-visual attributes from imaging scans can detect early changes of hemophilic arthropathy and help in more accurate characterizations of severe joint disease. The goal of this project was to develop and compare MRI radiomics with the International Prophylaxis Study Group (IPSG) score, an established MRI joint disease scale, in assessing the severity of joint disease. Methods After IRB approval, knee MRI scans of 17 hemophilia patients with a history of joint bleeding and 12 age-matched healthy controls were included in this study. Manual annotations were performed in consensus by a board-certified musculoskeletal radiologist to include the prefemoral fat, suprapatellar fat pad and bursa . To ensure that the signal intensities from different cases were in tissue-specific correspondence, a landmark-based histogram transformation was used to align MRI signal intensity distributions across all cases. 560 radiomic features capturing MRI pixels texture heterogeneity (Gabor wavelets, Laws texture, Haralick and GoLIAGe co-occurrence patterns) were subsequently extracted on all MRI slices with ROI for all the cases. Top 2 radiomic features (F 2) for differentiating between abnormal joint changes and control were selected by Minimum Redundancy Maximum Relevance (mRMR) algorithm with 100 iterations of 3-fold cross-validation. Consensus hierarchical clustering was then applied on F 2, from which two patient clusters were generated. A disease severity score was calculated based on historical lifetime bleed events in the joint, designation of target joint status, and history of surgical synovectomy. A previously described 17-point MRI IPSG score was also calculated by 2 independent reviewers. Both the IPSG score and the F 2 were then fit into a linear regression model separately as predictors whereas the disease severity score was set to be the response variable. The Akaike's Information Criteria (AIC) and the root mean square error (RMSE) were used to evaluate the model fitness and the likelihood ratio (LR) test was applied for model comparison. Results The dataset consisted of 17 males with moderate and severe hemophilia ranging in age from 10-55 years. The median disease severity score was 2 (0-11) and the median IPSG MRI Score was 2 (0-11). The top 2 radiomic features F 2, a Gabor wavelet feature and a Lawshc texture feature, yielded an AUC of 0.94 and an accuracy of 0.9 for differentiating between hemophilic joint changes and healthy control patients. Unsupervised clustering demonstrated good separation between the two classes (Fig panel A and B). The radiomic-based linear regression model (AIC: 86.67; RMSE: 2.86) was significantly better than the IPSG score-based model (AIC: 94.24; RMSE: 3.66) in joint disease severity characterizations (LR, p = 0.0083, Fig panel C). Conclusions Radiomic analysis of knee MRI in hemophilia patients with history of joint bleeding is correlated with the severity of joint disease. Our study demonstrates the feasibility of developing and utilizing a radiomics based tool to detect the severity of joint damage in a small population of knee joint hemophilic arthropathy. We plan to perform an Independent validation of the radiomics signature in a larger dataset of hemophilia joint MRI scans Figure 1 Figure 1. Disclosures Madabhushi: Astrazeneca: Membership on an entity's Board of Directors or advisory committees; Bristol Meyers-Squibb: Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy; Caris: Consultancy; Aiforia: Consultancy; Philips: Research Funding; AstraZeneca: Research Funding; Boehringer-Ingelheim: Research Funding; Bristol Meyers-Squibb: Research Funding. Ahuja: Sanofi: Membership on an entity's Board of Directors or advisory committees; XaTek, Inc: Patents & Royalties; Genentech: Membership on an entity's Board of Directors or advisory committees; Takeda: Other: DSMB member .

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Updated Analysis of an Open-Label, Phase 2 Study of Blinatumomab As Second Salvage Therapy in Adults with Relapsed/Refractory Aggressive B-Cell Non-Hodgkin Lymphoma

Blood ◽

10.1182/blood-2020-141117 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 14-15

Author(s):

Luke Coyle ◽

Nicholas J. Morley ◽

Alessandro Rambaldi ◽

Kylie D. Mason ◽

Gregor Verhoef ◽

...

Keyword(s):

Health Care ◽

Board Of Directors ◽

Safety Profile ◽

Metabolic Response ◽

Open Label ◽

Advisory Committees ◽

For Profit ◽

Grade 3 ◽

Health Care Company ◽

Care Company

Introduction: In an open-label phase 2 study, blinatumomab demonstrated efficacy with a manageable safety profile as second salvage in patients with relapsed or refractory B-cell Non-Hodgkin's lymphoma (R/R B-NHL) following platinum-based salvage regimens (Coyle et al. Leukemia & Lymphoma. 2020: 1-10). Blinatumomab is a BiTE® (bispecific T-cell engager) immuno-oncology therapy that activates endogenous cytotoxic T cells to kill target B cells. Here, findings from the updated analysis are reported (NCT02910063). Methods: Patients aged >18 years with biopsy-confirmed B-NHL without prior complete response or complete metabolic response (CMR) following first-line treatment with anthracycline- based chemotherapy and anti-CD20 therapy, had progressive metabolic disease (PMD), no metabolic response (NMR), or partial metabolic response (PMR; Lugano Classification) after ≥2 cycles of platinum-based S1 therapy were eligible. Blinatumomab was given by continuous intravenous infusion for a single 70-day cycle 1 (9 µg/day for 7 days, 28 µg /day for 7 days, and 112 µg /day for 42 days, followed by a 14-day treatment free interval) and an optional 28-day second cycle (9 µg /day for 7 days, 28 µg /day for 7 days and 112 µg / day for 14 days) at the investigator's discretion. Primary endpoint was CMR by central PET. Additional endpoints included objective response rate (ORR; CMR plus PMR), overall survival (OS), progression- free survival (PFS), duration of response, post-response HSCT rate, and the incidence and severity of adverse events (AEs). Results: As of the data cut date (June 3, 2020) for this updated analysis, 41 patients were enrolled between 23 January 2017 and 15 January 2018; 28 (68%) patients were refractory and 13 (32%) relapsed to first-line therapy, 66% had progressive disease following first salvage (S1), and 9 (22%) had double or triple hit status at baseline (Figure 1). ORR was 37% (15/41; 95% CI, 22-53) after 12 weeks of treatment, including 9 (22%) patients who achieved CMR and 6 (15%) achieved PMR. Of the 41 patients enrolled, 17 (42%) were double refractory; of which, 3 (7%) achieved CMR, and 3 (7%) achieved PMR. Of the 41 patients who received blinatumomab, median OS (95% CI) was 11.2 (5.9-NE) months with median follow-up time of 27.9 months. Among the 9 patients who achieved CMR, median OS (95% CI) was NE (7.0, NE) and median PFS (95% CI) was 8.4 (4.9-11.6) months with median follow of time of 4.7 months; of which, 3 patients had disease progression and 0 died. Of the 13 patients who achieved HSCT, median OS (95% CI) was NE (13.1-NE) with 69% of patients alive at 30 months and median PFS (95% CI) was 8.4 (5.3-13.9) months with 21% of patients alive at 12 months (Figure 2 and 3). In total, 29 (71%) patients had grade ≥3 treatment-emergent AEs, including included infections (n=8; 20%), neutropenia (n=4; 10%), pulmonary embolism (n=1; 2%), and acute pancreatitis (n=1; 2%). Consistent with previous blinatumomab reports, neurologic events (NEs) were reported in 23 (56%) patients, including 10 (24%) with grade 3 NEs and 3 (7%) with NEs leading to treatment discontinuation. Grade 3 cytokine release syndrome was reported in only 1 patient. 7 (17%) patients discontinued treatment due to AEs and 7 (17%) had fatal AEs of which were related to disease progression. Conclusions: In conclusion, durable complete remissions can be achieved with a manageable safety profile using blinatumomab as second salvage in patients with aggressive R/R B-NHL following platinum based first salvage regimens Figure 1 Disclosures Coyle: Amgen: Other: Travel support. Morley:Janssen: Honoraria, Other: Fees; AbbVie: Honoraria, Other: Fees; Roche: Other: travel support; Amgen: Honoraria, Other: Fees, travel support. Rambaldi:Sanofi: Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Omeros: Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support from Gilead.; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company). Advisory board and speaker fees from Pfizer.; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company). Research grant from Amgen Inc.; BMS/Celgene: Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Astellas: Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Support of parent study and funding of editorial support. Received travel support., Research Funding; University of Milan: Current Employment. Furness:Amgen: Other: Travel Support. Desai:IQVIA: Current Employment. Mergen:Amgen: Current Employment, Current equity holder in publicly-traded company. OffLabel Disclosure: Durable complete remissions can be achieved with a manageable safety profile using blinatumomab as second salvage in patients with aggressive R/R B-NHL following platinum based first salvage regimens

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Characteristics and Outcomes of Newly Diagnosed Multiple Myeloma Patients with and without Extramedullary Disease after Autologous Transplant and Maintenance Therapy: A Study from the Cmwp-EBMT

Blood ◽

10.1182/blood-2021-152391 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 485-485

Author(s):

Nico Gagelmann ◽

Dirk-Jan Eikema ◽

Linda Koster ◽

Tanja Netelenbos ◽

Andrew McDonald ◽

...

Keyword(s):

Clinical Trials ◽

Maintenance Therapy ◽

Board Of Directors ◽

Research Funding ◽

Maintenance Treatment ◽

Data Safety Monitoring Board ◽

Hazard Ratio ◽

Organ Involvement ◽

Advisory Committees ◽

Autologous Transplant

Abstract Patient selection becomes crucial for newly diagnosed multiple myeloma (NDMM), to identify those who may benefit the most from specific treatments. This is particularly important for patients for whom evidence of current treatment options remains very limited. One such subgroup is MM with extramedullary disease (EMD), especially those with organ manifestation. Maintenance therapy after autologous transplantation improves outcome for eligible NDMM patients, but randomized trials only included a small proportion of EMD patients, and to date, no adequate data exist on maintenance in this cohort. Here, we aimed to evaluate the characteristics and outcomes of NDMM with or without EMD after autologous transplant and maintenance therapy. Cohorts were identified from NDMM patients undergoing first autologous transplant between 2008 and 2018. Involvement had to be documented as absent or present. Maintenance treatment was defined as single-agent treatment within 6 months after first autologous transplant without relapse. Outcomes were calculated from the start of maintenance therapy. Primary end points were progression-free survival (PFS) and overall survival (OS). Secondary end point was cumulative incidence of relapse. In total, 830 NDMM patients with or without EMD were eligible, receiving either thalidomide (n=287), lenalidomide (n=446), bortezomib (n=75), or daratumumab (n=22; results for these patients will be presented at the meeting). 107 had EMD (n=83 paraskeletal and n=24 organ involvement). Maintenance drug distribution did not differ between NDMM with or without EMD (P=0.69) and is shown in Table 1. Fewer patients with organ involvement had IgA MM (23% vs 21% for no EMD and paraskeletal involvement, respectively). Patients with organ involvement more frequently were ISS stage III (50% vs 24% for no EMD and 15% for paraskeletal involvement). The median follow-up of the entire cohort was 44 months (95% CI, 40-48 months). According to involvement, 3-year PFS was 52% (48-57%) for patients without EMD, 56% (44-69%) for paraskeletal involvement, and 45% (22-68%) for organ involvement (P=0.15). Of note, early outcome after maintenance start appeared to be significantly worse for organ involvement, with 1-year PFS of 58% vs 81% for paraskeletal involvement and 82% for no EMD. 3-year OS was 81% (77-84%) for no EMD, 88% (80-96%) for paraskeletal involvement, and 68% (47-89%) for organ involvement (p=0.06). Survival curves are depicted in Figure 1. Regarding relapse, organ involvement showed worse early 1-year cumulative incidence, with 42% vs 19% for paraskeletal involvement and 16% for no EMD. In terms of maintenance therapy in patients without EMD, 3-year PFS was 45% (38-52%) for thalidomide, 59% (52-65%) for lenalidomide, 45% (31-59%) for bortezomib (P=0.005). 3-year OS was 79% (73-85%), 83% (78-88%), and 74% (61-87%; P=0.30). Relapse incidence was also significantly different showing lower relapse rates for lenalidomide (P=0.002). In terms of maintenance therapy in patients with EMD, 3-year PFS was 52% (36-67%) for thalidomide, 43% (27-60%) for lenalidomide, 65% (32-97%) for bortezomib (P=0.90). Overall survival was 81% (69-93%) for thalidomide, 86% (76-97%) for lenalidomide, and 89% (68-100%) for bortezomib (P=0.70). In multivariable analysis on PFS (including ISS, performance score, age, remission status) adjusting for early events at 1 year, organ involvement was significantly associated with worse early outcome (hazard ratio, 3.35; P=0.002) and showed no significant difference vs patients with no EMD after 1 year of follow-up. Paraskeletal involvement was not associated with different PFS. Lenalidomide was associated with significantly reduced risk for death or relapse/progression (hazard ratio, 0.69; P=0.003) vs thalidomide, and no difference was seen for bortezomib vs thalidomide. For OS, organ involvement appeared to be associated with worse outcome (hazard ratio 1.71; P=0.17), while no difference was seen for paraskeletal and no EMD. Lenalidomide (hazard ratio 0.72; P=0.05) and bortezomib (hazard ratio, 0.56; P=0.06) appeared to be associated with better OS. In conclusion, organ involvement was associated with worse early PFS, despite maintenance treatment. Different maintenance treatment did not seem to affect outcome in EMD. For patients without EMD, lenalidomide showed significantly higher PFS compared with thalidomide. Figure 1 Figure 1. Disclosures McDonald: BioCryst Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees. Kobbe: Celgene: Research Funding. Anagnostopoulos: Abbvie: Other: clinical trials; Sanofi: Other: clinical trials ; Ocopeptides: Other: clinical trials ; GSK: Other: clinical trials; Incyte: Other: clinical trials ; Takeda: Other: clinical trials ; Amgen: Other: clinical trials ; Janssen: Other: clinical trials; novartis: Other: clinical trials; Celgene: Other: clinical trials; Roche: Other: clinical trials; Astellas: Other: clinical trials . Deconinck: Stemline Therapetutics: Membership on an entity's Board of Directors or advisory committees; Imunogen: Membership on an entity's Board of Directors or advisory committees; Chugai: Research Funding; Novartis: Research Funding; Pfizer: Other: Travel Grants, Research Funding; Abbevie: Research Funding. Delforge: Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees. Thurner: Takeda: Honoraria; Abbvie: Other: Travel support; Janssen: Other: Travel support; EUSA-Pharma: Honoraria, Other: Travel Support; Astra-Zeneca: Honoraria; Merck: Honoraria. 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. Beksac: Amgen,Celgene,Janssen,Takeda,Oncopeptides,Sanofi: Consultancy, Speakers Bureau. Schönland: Pfizer: Honoraria; Takeda: Honoraria, Other: Travel grants; Janssen: Honoraria, Other: Travel grants, Research Funding; Prothena: Honoraria, Other: Travel grants; Sanofi: Research Funding. Yakoub-Agha: Jazz Pharmaceuticals: 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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