Acute and Post-Acute COVID-19 Severity and Mortality in Patients with Hematologic Malignancies: A Population-Based Registry Study

Abstract Introduction: The severity of acute clinical outcomes and mortality in hematologic malignancy (HM) patients infected by SARS-CoV-2 was exhaustively documented in the first weeks of the pandemic. A consistent increased mortality compared to non-cancer patients was observed across studies. In this study we aimed to estimate survival in COVID-19 HM patients by type of malignancy, to describe acute and post-acute clinical outcomes, and to compare outcomes in early and later pandemic periods. Methods: In this population-based registry study sponsored by the Madrid Society of Hematology (Asociación Madrileña de Hematología y Hemoterapia), we collected de-identified data on clinical characteristics, treatment and acute and post-acute outcomes in adult patients with hematologic malignancies and confirmed SARS-CoV-2 infection within the Madrid region of Spain. Our case series included all eligible patients admitted to 26 regional health service hospitals and 5 private healthcare centers between February 28, 2020 and February 18, 2021 with a coverage of 98% on a population of 6.6 million inhabitants. The study outcomes were all-cause mortality, severity of disease (WHO), oxygen support, ICU admission, and follow-up symptoms and signs and complications. Survival probabilities were estimated with the actuarial method and reported overall and stratified by type of malignancy and for two study periods (early cohort,-COVID-19 diagnosis from February 28 to 31 May, 2020, and later cohort, up to February 18, 2021). Results: Of the 1408 patients reported to the HEMATO-MADRID COVID-19 registry, 1166 were included in the present analyses; 839 (72%) had a lymphoid malignancy, including 325 (28%) with non-Hodgkin lymphoma, 50 (4%) with Hodgkin lymphoma and 263 (23%) with multiple myeloma; and 327 (28%) had a myeloid malignancy, including 115 (10%) with myelodysplastic syndrome, 92 (8%) with acute myeloid leukemia (AML) and 87 (7%) with Philadelphia chromosome (Ph)-negative myeloproliferative neoplasms. Overall COVID-19 clinical severity was classified as critical in 19% of patients, severe in 36%, moderate in 22%, and mild in 22%; 10% were admitted to an ICU; 8% were on mechanical ventilation and 19% on noninvasive ventilation. Mild disease increased between early and later period from 15% to 38% of patients; severe disease decreased from 42% to 24%, p<0.001. COVID-19 treatment with steroids increased from 38% to 59%, p<0.001. At follow-up, 22% reported persistent symptoms related to COVID-19 at 2 months, 16% at 4 months and 14% at 6 months. 381 of 1166 (33%) patients died. Overall 30-day survival was 68%; 2 and 3-month overall survival probabilities were 56% and 53%, respectively. Survival was more favorable for patients with myeloproliferative neoplasms (82%, 69% and 65% at 30-days, 2 and 3 months, respectively) than for those with lymphoid malignancies (68%, 56% and 54%) or myelodysplastic syndrome/acute myeloid leukemia (61%, 51%, 46%), p=001. 285 (37%) patients died in the early period vs 96 (24%) in the later, p<0.001, but median (interquartile range) follow-up time was much higher in the early vs later, 45 (20-116) days vs. 26 (11-86), respectively. Overall survival was not different between periods, p=0.5 (hazard ratio [95%C], 0.93 [0.73-1.17]). In the later cohort, 30 and 60-day survival probabilities were 71% and 56% vs. 67% and 56% in the early cohort Conclusions. A population-based registry in Spain provided strong evidence that although COVID-19 severity decreased over year 1 of the pandemic, mortality remained high, and survival was stable over time in the group of patients with hematological malignancy infected by SARS-Coc-2. A relevant proportion of the infected patients (1 in 6) referred persistent symptoms attributable to COVID-19. The improved clinical management of severe COVID-19 in non-cancer patients that followed the dissemination of evidence-based recommendations did not translate in more favorable survival in patients with hematological malignancies. Research is needed to address the specific characteristics and improve the clinical management of this vulnerable population. Disclosures Martinez-Lopez: Novartis: Consultancy, Speakers Bureau; BMS: Consultancy, Research Funding, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Incyte: Consultancy, Research Funding, Speakers Bureau; Roche: Consultancy, Research Funding, Speakers Bureau; Astellas: Research Funding, Speakers Bureau. Jiménez-Yuste: Pfizer: Consultancy, Honoraria, Research Funding; Grifols: Consultancy, Honoraria, Research Funding; CSL Behring: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy, Honoraria, Research Funding; Bayer: Consultancy, Honoraria, Research Funding; NovoNordisk: Consultancy, Honoraria, Research Funding; BioMarin: Consultancy; Sobi: Consultancy, Honoraria, Research Funding; Octapharma: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding. Kwon: Gilead: Honoraria.

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Second Relapse of Pediatric Patients with Acute Myeloid Leukemia: A Report on Current Treatment Strategies and Outcome of the AML-BFM Study Group

Blood ◽

10.1182/blood-2020-139317 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 24-24

Author(s):

Mareike Rasche ◽

Emma Steidel ◽

Martin Zimmermann ◽

Jean-Pierre Bourquin ◽

Heidrun Boztug ◽

...

Keyword(s):

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Treatment Strategies ◽

Population Based ◽

Advisory Committees ◽

Cytotoxic Treatment ◽

First Relapse ◽

Pediatric Aml

BACKGROUND: Children with acute myeloid leukemia (AML) still experience high rates of relapse. Facing increasing survival after first relapse, it appears critically important to examine the consequences of a second relapse in more detail. However, there is no population-based data available in pediatric AML and no reliable statement about general survival, patients' characteristics or treatment approaches can be made. Herein, we report current survival results following second relapse from the BFM study group, which represents to our knowledge the largest available dataset for this subgroup of patients. PATIENTS AND METHODS: Between 2004 and 2017, 1222 pediatric patients (age less than 18 years at initial AML diagnosis) with AML (no secondary leukemia, no Down syndrome, no acute promyelocytic leukemia) were registered in the population-based AML-BFM registry and trials in Germany, Austria, Czech Republic and Switzerland providing a longitudinal data collection with treatment, response rates, survival and disease characteristics. Central review of source documentation confirmed accuracy and consistency of all reported data. Only patients with a documented date of first and second complete remission (CR1 and CR2) and a diagnosed second relapse until the age of 21 are included. Statistical analyses were performed with SAS version 9.4 (SAS Institute). All living patients were censored at the time of last follow-up, but no patient later than 03/27/2020. The median follow-up after diagnosis of second relapse was 6,5 years. RESULTS: In all registered patients, 7% (83 out of 1222) met the strict criteria for a second relapse. For further analyses patients with a date of second relapse diagnosis after 12/31/2017 (n=6), two patients with isolated CNS relapse, who did not receive systemic chemotherapy, one patient with an underlying syndrome and one patient with insufficient data have been excluded. The median age at second relapse was 9,2 years. Sixty percent (n=44) of the patients, who experienced a second relapse, did so within a year after first relapse diagnosis. Eighty percent (n=58) and 7% (n=5) had one or two previous HSCTs, respectively. Eighty-nine percent (n=65) received an anthracycline-containing re-induction (DNX-FLA) followed by FLA or another intensive treatment regimen before at first relapse. In contrast to the standardized treatment approaches in first relapse, patients with second relapse received a wide range of therapy. Forty-six patients (63%) have been treated with an intensive cytotoxic treatment (Table 1). Seventeen patients (23%) got palliation only. Among the 25 patients (35%) who proceeded to HSCT, 21 patients (88%) had a prior HSCT. Survival after second relapse was very poor with a 5-year pOS of 15±4% (see Figure 1A) and a considerable cumulative incidence of early deaths (until day 56 after diagnosis: CI ED 19±5%). Prognosis did not improve over time with consistent overall survival rates until 2017 (see Figure 1B). Causes of death include disease progression (n= 51, 70% of all patients), a combined SCT-related and disease-related cause (n=3, 5%) and SCT-related complications (n=4, 4%) or treatment-associated toxicity (n=5, 7%). The 5-year pOS was 2±2% for patients with an early second relapse vs. 33±9% for those experiencing a second relapse more than a year after the first. (p<0.0001; Figure 1C). The timing of a first relapse and age did not show any influence on overall survival. The best response achieved in the respective bone marrow sample after up to two cycles with cytotoxic treatment have been categorized. Out of 45 patients with conclusive data 31.1% (n=14) achieved a third CR with a pOS of 36±13%, while 62.2% of the patients showed a nonresponse to the treatment (n=28, pOS 7±5%) or no evidence of leukemia, but also no peripheral regeneration (6.7%, n=3, pOS 0±0%). CONCLUSION: These data provide new insights into treatment strategies, prognostic factors and outcome of children with second relapse in pediatric AML. As expected, survival is poor, but nonetheless possible in this increasingly relevant subgroup of patients. These data may serve as foundation for urgently needed international clinical trials for relapsed and refractory AML in children. Disclosures Bourquin: Servier: Other: Travel Support. Reinhardt:CLS Behring: Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Roche: Research Funding; bluebird bio: Membership on an entity's Board of Directors or advisory committees.

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Mini- Vs. Regular-Dose CLAG-M (Cladribine, Cytarabine, G-CSF, and Mitoxantrone) in Medically Less Fit Adults with Newly-Diagnosed Acute Myeloid Leukemia (AML) and Other High-Grade Myeloid Neoplasms

Blood ◽

10.1182/blood-2019-123542 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1364-1364 ◽

Cited By ~ 1

Author(s):

Anna B. Halpern ◽

Megan Othus ◽

Kelda Gardner ◽

Genevieve Alcorn ◽

Mary-Elizabeth M. Percival ◽

...

Keyword(s):

Acute Myeloid Leukemia ◽

Myeloid Leukemia ◽

Research Funding ◽

Intensive Therapy ◽

Treatment Intensity ◽

High Grade ◽

Intensive Chemotherapy ◽

Myeloid Neoplasms ◽

Acute Myeloid

Background: Optimal treatment for medically less fit adults with acute myeloid leukemia (AML) remains uncertain. Retrospective data suggest intensive therapy may lead to better outcomes in these patients. However, these findings must be interpreted cautiously because of the possibility of selection bias and other confounders. Ideally, the optimal treatment intensity is defined via randomized trial but whether patients and their physicians are amenable to such a study is unknown. We therefore designed a trial (NCT03012672) to 1) evaluate the feasibility of randomization between intensive and non-intensive therapy in this population and 2) examine the impact of treatment intensity on response rate and survival. We used CLAG-M as high-dose cytarabine-based intensive induction therapy. Rather than selecting different classes of drugs in the 2 treatment arms- which may have different modes of action and therefore confound the question of treatment intensity - we used reduced-dose ("mini") CLAG-M as the non-intensive comparator. Methods: Adults ≥18 years were eligible if they had untreated AML or high-grade myeloid neoplasms (≥10% blasts in blood or marrow) and were medically less fit as defined by having a "treatment related mortality" (TRM) score of ≥13.1, corresponding to a >10-15% 28-day mortality with intensive chemotherapy. Left ventricular ejection fraction ≤45% was the only organ function exclusion. Patient-physician pairs were first asked if they were amenable to randomized treatment allocation. If so, they were randomized 1:1 to mini- vs. regular-dose CLAG-M. If not, in order to evaluate our secondary endpoints, the patient or physician could choose the treatment arm and still enroll on study. Patients and physicians then completed surveys elucidating their decision-making processes. Up to 2 induction courses were given with mini- vs. regular-dose CLAG-M: cladribine 2 or 5 mg/m2/day (days 1-5), cytarabine 100 or 2,000 mg/m2/day (days 1-5), G-CSF 300 or 480µcg/day for weight </≥76kg in both arms (days 0-5), and mitoxantrone 6 or 18 mg/m2/day (days 1-3). CLAG at identical doses was used for post-remission therapy for up to 4 (regular-dose CLAG) or 12 (mini-CLAG) cycles. The primary endpoint was feasibility of randomization, defined as ≥26/50 of patient-physician pairs agreeing to randomization. Secondary outcomes included rate of complete remission (CR) negative for measurable ("minimal") residual disease (MRD), rate of CR plus CR with incomplete hematologic recovery (CR+CRi), and overall survival (OS). Results: This trial enrolled 33 patients. Only 3 (9%) patient/physician pairs agreed to randomization and thus randomization was deemed infeasible (primary endpoint). Eighteen pairs chose mini-CLAG-M and 12 regular-dose CLAG-M for a total of 19 subjects in the lower dose and 14 subjects in the higher dose arms. The decision favoring lower dose treatment was made largely by the physician in 5/18 (28%) cases, the patient in 11/18 (61%) cases and both in 2/18 (11%). The decision favoring the higher dose arm was made by the patient in most cases 9/12 (75%), both physician and patient in 2/12 (16%) and the physician in only 1/12 (8%) cases. Despite the limitations of lack of randomization, patients' baseline characteristics were well balanced with regard to age, performance status, TRM score, lab values and cytogenetic/mutational risk categories (Table 1). One patient was not yet evaluable for response or TRM at data cutoff. Rates of MRDneg CR were comparable: 6/19 (32%) in the lower and 3/14 (21%) in the higher dose groups (p=0.70). CR+CRi rates were also similar in both arms (43% vs. 56% in lower vs. higher dose arms; p=0.47). Three (16%) patients experienced early death in the lower dose arm vs. 1 (7%) in the higher dose arm (p=0.43). With a median follow up of 4.2 months, there was no survival difference between the two groups (median OS of 6.1 months in the lower vs. 4.7 months in the higher dose arm; p=0.81; Figure 1). Conclusions: Randomization of medically unfit patients to lower- vs. higher-intensity therapy was not feasible, and physicians rarely chose higher intensity therapy in this patient group. Acknowledging the limitation of short follow-up time and small sample size, our trial did not identify significant differences in outcomes between intensive and non-intensive chemotherapy. Analysis of differences in QOL and healthcare resource utilization between groups is ongoing. Disclosures Halpern: Pfizer Pharmaceuticals: Research Funding; Bayer Pharmaceuticals: Research Funding. Othus:Celgene: Other: Data Safety and Monitoring Committee. Gardner:Abbvie: Speakers Bureau. Percival:Genentech: Membership on an entity's Board of Directors or advisory committees; Pfizer Inc.: Research Funding; Nohla Therapeutics: Research Funding. Scott:Incyte: Consultancy; Novartis: Consultancy; Agios: Consultancy; Celgene: Consultancy. Becker:AbbVie, Amgen, Bristol-Myers Squibb, Glycomimetics, Invivoscribe, JW Pharmaceuticals, Novartis, Trovagene: Research Funding; Accordant Health Services/Caremark: Consultancy; The France Foundation: Honoraria. Oehler:Pfizer Inc.: Research Funding; Blueprint Medicines: Consultancy. Walter:BioLineRx: Consultancy; Astellas: Consultancy; Argenx BVBA: Consultancy; BiVictriX: Consultancy; Agios: Consultancy; Amgen: Consultancy; Amphivena Therapeutics: Consultancy, Equity Ownership; Boehringer Ingelheim: Consultancy; Boston Biomedical: Consultancy; Covagen: Consultancy; Daiichi Sankyo: Consultancy; Jazz Pharmaceuticals: Consultancy; Seattle Genetics: Research Funding; Race Oncology: Consultancy; Aptevo Therapeutics: Consultancy, Research Funding; Kite Pharma: Consultancy; New Link Genetics: Consultancy; Pfizer: Consultancy, Research Funding. OffLabel Disclosure: Cladribine is FDA-approved for Hairy Cell Leukemia. Here we describe its use for AML, where is is also widely used with prior publications supporting its use

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Cardiac Morbidity in Adolescents and Young Adult Survivors of Hodgkin Lymphoma

Blood ◽

10.1182/blood-2020-136454 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 18-19

Author(s):

Kristin C. Marr ◽

Jonathan Simkin ◽

Andrea C. Lo ◽

Joseph M. Connors ◽

Alina S. Gerrie ◽

...

Keyword(s):

Cumulative Incidence ◽

Research Funding ◽

Index Date ◽

Population Based ◽

Stage Disease ◽

Increased Risk ◽

Matched Case ◽

Cv Disease ◽

Relapsed Disease

INTRODUCTION Adolescents and young adult (AYA) survivors of Hodgkin lymphoma (HL) are potentially at increased risk of cardiovascular (CV) disease due to anthracycline exposure, in addition to use of mediastinal radiotherapy (RT). Although the risk has been well described in the pediatric age-group, the impact in the AYA population has been less well characterized. Capturing the incidence of these late effects is challenging given that events can occur more than a decade after therapy completion. Using population-based administrative data, we evaluated the incidence of CV disease (combined heart failure (HF) and ischemic heart disease (IHD)) in a cohort of AYA survivors treated for classical HL (cHL) using ABVD (doxorubicin, bleomycin, vinblastine, dacarbazine) or equivalent chemotherapy. METHODS Patients with cHL aged 16-39 years (y), diagnosed between 1992-2013 and treated with an ABVD or equivalent therapy, were identified in the BC Cancer Lymphoid Cancer Database. Patients must have survived to an Index Date defined as 2 y from most recent HL event (primary diagnosis or if applicable, most recent relapse) and have had a minimum follow-up of 1 y beyond their Index Date. Patients were excluded if they had history of prior malignancy or HIV positivity. Limited stage disease was defined as stage IA, IB or IIA and absence of bulky disease (≥10cm); all others had advanced stage disease. Cases were linked with population-based databases of BC Cancer Registry; BC Radiation Oncology Database; and BC Ministry of Health (MOH) Chronic Disease Registry (CDR) that captures all BC residents registered with medical service plan coverage during the study period. The outcome variables, including HF and IHD, were defined by the BC MOH CDR using Standardized Case Definitions. To focus on late onset CV complications, only events that occurred after the Index Date were included in the analysis. A 10:1 individually-matched control population was identified from the CDR based on age, sex, and health authority region on the Index Date of the matched case. Controls were excluded if they had a pre-existing malignancy, HF, or IHD prior to the study window. Individual outcomes were collected from the Index Date of the matched case until December 31, 2015 or until an individual was censored due to loss to follow-up or death. Kaplan Meier (K-M) methodology and log-rank test was used to estimate cumulative incidence. A competing risk regression analysis was used to evaluate relative risk (RR) and p-values less than 0.05 were considered significant. RESULTS With a median follow-up time of 11 y (range 3-24 y) from most recent HL event, 764 AYA 2-y survivors were identified, aged 20 to 61 y (median 38 y) at the end of study period. The proportion of limited and advanced stage disease was 34.2% and 65.6%, respectively; and 49.9% were male. Eighty-eight patients (11.5%) had relapsed disease; eighty-six (11.3%) underwent high dose chemotherapy and autologous stem cell transplantation as part of their salvage therapy. In total, 268 patients (36.4%) were treated with mediastinal RT for primary therapy or for relapsed disease. Fifty-three percent received cumulative anthracycline dose ≥300 mg/m2. Survivors had a 3-fold increased risk of CV disease relative to controls (p<0.0001). The onset of CV disease in survivors occurred at median of 11.7 y after most recent treatment (range 2.2-19.2 y), and at a median age of 44.3 y (range 21 - 58 y). At 15 y, the estimated cumulative incidence of CV disease was 6.3% in survivors compared to 2.3% in controls (Figure A). In the 496 survivors that received chemotherapy only, the incidence of CV disease at 15 y was 4.6% vs 2.3% in controls, and those that received anthracyclines and mediastinal RT had significantly higher incidence at 8.6% (Figure B). The increase in risk was greatest for a diagnosis of HF (RR 6.92, p<0.0001): at 15 y, the cumulative incidence of HF was 2.2% vs 0.6% in controls. The RR of IHD was 2.63 (p<0.0001) with incidence of 5.1% in cases compared to 1.8% in controls. CONCLUSION Similar to the pediatric population, AYA cHL survivors are at increased risk of both HF and IHD after completion of treatment. The majority of patients had received ABVD alone and had a lower incidence of CV disease at 15 y when compared to those that received treatment that included mediastinal RT. These results will inform counseling regarding risk factor modification and aid in the development of surveillance guidelines for AYA survivors. Disclosures Gerrie: Sandoz: Consultancy; Roche: Research Funding; Janssen: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; Astrazeneca: Consultancy, Research Funding. Villa:Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Roche: Consultancy, Honoraria, Research Funding; AZ: Consultancy, Honoraria, Research Funding; Kite/Gilead: Consultancy, Honoraria; Nano String: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Sandoz Canada: Consultancy, Honoraria; Immunovaccine: Consultancy, Honoraria; Purdue Pharma: Consultancy, Honoraria. Scott:NIH: Consultancy, Other: Co-inventor on a patent related to the MCL35 assay filed at the National Institutes of Health, United States of America.; Roche/Genentech: Research Funding; Celgene: Consultancy; NanoString: Patents & Royalties: Named inventor on a patent licensed to NanoString, Research Funding; Abbvie: Consultancy; AstraZeneca: Consultancy; Janssen: Consultancy, Research Funding. Sehn:AstraZeneca: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Kite: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Genentech, Inc.: Consultancy, Honoraria, Research Funding; Acerta: Consultancy, Honoraria; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding; MorphoSys: Consultancy, Honoraria; Merck: Consultancy, Honoraria; Lundbeck: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Teva: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Servier: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Apobiologix: Consultancy, Honoraria; Verastem Oncology: Consultancy, Honoraria; TG therapeutics: Consultancy, Honoraria; Chugai: Consultancy, Honoraria. Savage:BeiGene: Other: Steering Committee; Roche (institutional): Research Funding; Merck, BMS, Seattle Genetics, Gilead, AstraZeneca, AbbVie, Servier: Consultancy; Merck, BMS, Seattle Genetics, Gilead, AstraZeneca, AbbVie: Honoraria.

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Patterns of Care and Outcomes Among Older Patients with Myelofibrosis: A Population-Based Study

Blood ◽

10.1182/blood-2020-137543 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 21-22

Author(s):

Shelby Meckstroth ◽

Rong Wang ◽

Xiaomei Ma ◽

Nikolai A. Podoltsev

Keyword(s):

Median Survival ◽

Research Funding ◽

Multivariable Analysis ◽

Population Based ◽

Janus Kinase ◽

Patterns Of Care ◽

Age At Diagnosis ◽

Jak Inhibitor ◽

Risk Of Death

Background: Myelofibrosis (MF) is a Philadelphia chromosome negative myeloproliferative neoplasm associated with systemic and splenomegaly-related symptoms, cytopenias and decreased survival. Approval of ruxolitinib, an oral janus kinase (JAK)-inhibitor, for higher-risk MF patients (pts) by the Food and Drug Administration in 11/ 2011 opened a new era of targeted treatment for this disease. There are limited data on the "real-world" clinical experiences and outcomes of pts with MF treated in the JAK inhibitor era. MF became reportable to population-based cancer registries including the Surveillance, Epidemiology and End Results (SEER) program in 2001, making its investigation possible at the population level. The objective of this study was to assess the patterns of care and outcomes of older MF pts in the ruxolitinib era. Methods: Using the linked SEER-Medicare database, we identified a cohort of older pts diagnosed with MF from 2007 through 2015 who fulfilled the following eligibility criteria: 1) aged 66-99 years at diagnosis; 2) had known month of diagnosis; 3) were not identified from death certificate or autopsy only; 4) had continuous enrollment in Medicare Parts A, B and no enrollment in health maintenance organizations from 1 year before diagnosis until the end of follow-up (death or 12/31/2016, whichever came first); 5) had continuous enrollment in Medicare Part D from diagnosis until the end of follow-up; and 6) bone marrow biopsy claim from 1 year before diagnosis to end of follow up. Treatments were assessed via Medicare parts B&D claims. Kaplan-Meier curves and log-rank tests were used to compare survival between patient groups. Multivariable cox proportional hazards regression models were used to assess the effect of ruxolitinib use on survival in MF pts. Aside from treatment, we considered the influence of several characteristics on survival, including age at diagnosis, sex, race/ethnicity, marital status, comorbidities, SEER region and percentage living in poverty at the census tract level. Results: Among 528 MF pts, median age at diagnosis was 76 (interquartile range [IQR], 71- 80) years with 88.8% white and 56.1% male. 230 pts were diagnosed in the early era (2007-2011), and 298 in the late era (2012-2015), of which 113 (37.9%) were ruxolitinib users. There was no difference among any evaluated characteristics between two eras and by ruxolitinib status in the late era. The median duration of ruxolitinib use was 11.9 months. Similar number of pts started at 5, 10, 15 and 20 mg twice a day (BID) (Figure 1). Among 31 pts who started at ≤5 mg BID, 15 (48.4%) never had their dose of ruxolitinib escalated. While on ruxolitinib treatment, nearly half of the pts received additional medications for symptom management including hydroxyurea (22.6%), prednisone (17.9%) or both (10.4%). < 11 users were able to go up to the highest dose of 25 mg BID. Ruxolitinib was interrupted > 30 days for 31 times by 20 of 113 (17.7%) pts with median interruption duration of 43 (IQR 34-71) days. The median survival was 2.70 (95% confidence interval [CI]: 1.87-3.41) years and 2.62 (95% CI: 2.15-3.07) for the early and late era pts, respectively (p for log-rank 0.91). The multivariable analysis showed no impact of diagnosis era on survival (late vs early era hazard ratio (HR) of 1.08, 95% CI 0.83-1.40; p= 0.57). There was no difference in survival by ruxolitinib status (log-rank test, p=0.31), with a median survival of 2.76 (95% CI: 2.01-4.15) years and 2.53 (95% CI: 1.92-3.07) years among users and non-users, respectively (Figure 3). In the multivariable analysis, the risk of death among ruxolitinib users compared to non-users was not statistically significant with HR of 0.82 (95% CI 0. 59-1.16; p= 0.26). Conclusions: Older MF pts treated with ruxolitinib had similar survival when compared to pts who did not receive this medication, but the choice of ruxolitinib might have been influenced by disease risk which we were unable to assess. For many ruxolitinib users, the drug was interrupted, the dose was not escalated, additional medications were used concurrently (possibly to help control disease manifestation), and treatment was discontinued quickly after initiation. Optimization of ruxolitinib use may be necessary to accomplish better outcomes. Furthermore, development of new drugs which may be used together with ruxolitinib or after its discontinuation is needed. The work was supported by The Frederick A. Deluca Foundation. Disclosures Wang: Celgene/BMS: Research Funding. Ma:Celgene/BMS: Research Funding; BMS: Consultancy. Podoltsev:Jazz Pharmaceuticals: Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Agios Pharmaceuticals: Consultancy, Honoraria; Sunesis Pharmaceuticals: Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Blueprint Medicines: Consultancy, Honoraria; Bristol-Myers Squib: Consultancy, Honoraria; Genentech: Research Funding; AI Therapeutics: Research Funding; Samus Therapeutics: Research Funding; Astellas Pharma: Research Funding; Kartos Therapeutics: Research Funding; CTI biopharma: Consultancy, Honoraria, Research Funding; Boehringer Ingelheim: Research Funding; Novartis: Consultancy, Honoraria; Alexion: Consultancy, Honoraria; Incyte: Consultancy, Honoraria; Astex Pharmaceuticals: Research Funding; Daiichi Sankyo: Research Funding; Arog Pharmaceuticals: Research Funding.

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Clinical Outcomes Following Treatment with Gilteritinib or Quizartinib in Patients with Relapsed/Refractory FLT3-ITD+ Acute Myeloid Leukemia

Blood ◽

10.1182/blood-2020-136118 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 42-43

Author(s):

Alexander E. Perl ◽

Qiaoyang Lu ◽

Alan Fan ◽

Nahla Hasabou ◽

Erhan Berrak ◽

...

Keyword(s):

Acute Myeloid Leukemia ◽

Complete Remission ◽

Myeloid Leukemia ◽

Research Funding ◽

Phase 3 ◽

Hematopoietic Stem ◽

Travel Costs ◽

Baseline Characteristics ◽

Acute Myeloid

Background: Gilteritinib is approved for patients (pts) with relapsed/refractory (R/R) FLT3-mutated acute myeloid leukemia (AML), based on findings from the phase 3 ADMIRAL trial (Perl AE, et al. N Engl J Med. 2019). A phase 3 trial, QuANTUM-R, demonstrated the benefit of quizartinib in pts with R/R AML with FLT3 internal tandem duplication (FLT3-ITD) mutations (Cortes JE, et al. Lancet Oncol. 2019). Although eligibility criteria across both studies were similar, QuANTUM-R was more stringent as to prior therapy intensity and remission duration, which potentially enriched for higher-risk pts. We sought to describe outcomes from ADMIRAL among pts who otherwise met eligibility for QuANTUM-R. Methods: In this post-hoc analysis, a subset of pts from ADMIRAL were matched with R/R FLT3-ITD+ AML pts from QuANTUM-R on the basis of baseline characteristics and prior treatment criteria. Matched pts were either refractory to initial anthracycline-based chemotherapy or had relapsed ≤6 mos after achieving composite complete remission (CRc) with an anthracycline-based regimen. Results: Overall, 218 pts with R/R FLT3-ITD+ AML in the ADMIRAL trial (gilteritinib, n=140; salvage chemotherapy [SC], n=78) were matched with the QuANTUM-R intention-to treat (ITT) population (N=367; quizartinib, n=245; SC, n=122). Proportions of pts preselected for high-intensity SC were 66% (n=143/218) in the matched ADMIRAL ITT population and 77% (n=281/367) in the QuANTUM-R ITT populations. Demographic and baseline characteristics of the matched ADMIRAL ITT population and QuANTUM-R ITT population were similar. Median durations of exposure to gilteritinib and quizartinib were 3.8 mos and 3.2 mos, respectively, and median number of treatment cycles received were five and four, respectively. Rates of hematopoietic stem cell transplantation (HSCT) were similar in pts treated with gilteritinib (35%; n=49/140) or quizartinib (32%; n=78/245), as were the proportions of pts who resumed gilteritinib (23%; n=32/140) or quizartinib (20%; n=48/245) therapy post-HSCT. Median overall survival (OS) in pts treated with gilteritinib or quizartinib was longer than that observed with SC. After a median follow-up of 17.4 mos, median OS was 10.2 mos with gilteritinib versus 5.6 mos with SC (hazard ratio [HR]=0.573 [95% CI: 0.403, 0.814]; one-sided nominal P=0.0008). After a median follow-up of 23.5 mos, median OS with quizartinib was 6.2 mos versus 4.7 mos with SC (HR=0.76 [95% CI: 0.58-0.98]; one-sided P=0.02). After censoring for HSCT, median OS was 9.3 mos with gilteritinib versus 5.5 mos with SC (HR=0.525 [95% CI: 0.356-0.775]; nominal one-sided P=0.0005), and 5.7 mos versus 4.6 mos with quizartinib versus SC, respectively (HR=0.79 [95% CI: 0.59, 1.05]; one-sided P=0.05). In both QuANTUM-R and matched ADMIRAL populations, the survival benefits of quizartinib and gilteritinib compared with SC were maintained across multiple subgroups, including high FLT3-ITD allelic ratio subsets. Compared with SC, high CRc rates were observed in pts treated with either gilteritinib (57%; n=80/140) or quizartinib (48%; n=118/245). The complete remission (CR) rate with gilteritinib was 23% (n=32/140), whereas the CR rate with quizartinib was 4% (n=10/245) (Table). Median time to achieve CRc was 1.8 mos with gilteritinib and 1.1 mos with quizartinib, median duration of CRc was 5.5 mos with gilteritinib and 2.8 mos with quizartinib. The safety profiles of gilteritinib and quizartinib were generally similar, though aspartate or alanine aminotransferase elevations (any grade) were more frequent with gilteritinib (41-44%) than quizartinib (≤13%), whereas neutropenia (14% vs 34%, respectively), fatigue (24% vs 39%, respectively), and prolonged QT intervals (9% vs 27%, respectively) were more frequent with quizartinib. Conclusions: In pts with R/R FLT3-ITD+ AML and similar baseline characteristics, both gilteritinib and quizartinib were generally well tolerated and associated with improved survival and treatment response compared with SC. Responses to gilteritinib and quizartinib, as measured by CRc, were similar; blood count recovery varied between the two FLT3 inhibitors. Although cross-study comparisons have substantial limitations, the findings suggest that while remission is achieved faster with quizartinib, response may be more durable and survival potentially longer with gilteritinib. Disclosures Perl: Syndax: Consultancy, Honoraria; Leukemia & Lymphoma Society, Beat AML: Consultancy; Novartis: Honoraria, Other, Research Funding; Agios: Consultancy, Honoraria, Other; Jazz: Honoraria, Other; FORMA Therapeutics: Consultancy, Honoraria, Other; Daiichi Sankyo: Consultancy, Honoraria, Other: Writing/editorial support, travel costs for meetings, Research Funding; FUJIFILM Pharmaceuticals USA, Inc: Research Funding; New Link Genetics: Honoraria, Other; Arog Pharmaceuticals Inc: Other: uncompensated consulting, travel costs for meetings; Actinium Pharmaceuticals Inc: Consultancy, Honoraria, Research Funding; Biomed Valley Discoveries: Research Funding; Astellas: Consultancy, Honoraria, Other: writing/editorial support, travel costs for meeting presentations related to study, Research Funding; Bayer HealthCare Pharmaceuticals: Research Funding; AbbVie Inc: Consultancy, Honoraria, Other, Research Funding; Takeda: Honoraria, Other: Travel costs for meeting; Loxo Oncology Inc, a wholly owned subsidiary of Eli Lilly & Company: Consultancy, Honoraria, Other. Lu:Astellas: Current Employment. Fan:Astellas Pharma: Current Employment. Hasabou:Astellas Pharma: Current Employment. Berrak:Astellas: Current Employment. Tiu:Eli Lilly & Company: Current equity holder in publicly-traded company, Ended employment in the past 24 months; Astellas Pharma Global Development: Current Employment.

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Baseline Characteristics of CML Patients Accross Europe - Comparing Real-World Patients with Patient Collectives Included in Clinical Trials

Blood ◽

10.1182/blood.v124.21.3160.3160 ◽

2014 ◽

Vol 124 (21) ◽

pp. 3160-3160 ◽

Cited By ~ 1

Author(s):

Michele Baccarani ◽

Verena Sophia Hoffmann ◽

Gianantonio Rosti ◽

Fausto Castagnetti ◽

Susanne Saussele ◽

...

Keyword(s):

Real World ◽

Clinical Studies ◽

Research Funding ◽

Chronic Phase ◽

Population Based ◽

Costal Margin ◽

Spleen Size ◽

Newly Diagnosed ◽

Baseline Characteristics ◽

Population Based Registry

Abstract Introduction: Most of the knowledge about treatments and outcome of CML patients originates from clinical studies. To get new and unbiased insights in the epidemiology, treatment and outcome of CML, the EUTOS population-based registry of newly diagnosed CML patients was established, - as part of the European Treatment and Outcome Study (EUTOS) for CML. The aim was to collect the data of all adults with newly diagnosed CML, irrespective of treatment and of enrolment in studies. Patients and Methods: The EUTOS population-based registry collected data of newly diagnosed CML patients, 18 years or older, over a specified period of time from 2008 till 2012 living in defined regions. The data were collected by 22 study groups in 20 European countries. Data were gathered via a web-based CRF-system. For comparison we used the already published data from five Company-sponsored registration studies IRIS (O’Brien et.all, NEJM, 2003), TOPS (Cortes et al, JCO, 2009) ENESTnd (Saglio et al, NEJM, 2010), DASISION (Kantarjian et al, NEJM, 2010) and BELA (Cortes et al, JCO, 2012), from three Investigator-sponsored studies GIMEMA (Castagnetti et al, JCO, 2010 and Gugliotta et al, Blood, 2011), French SPIRIT (Preudhomme et al, NEJM, 2010) and German CML IV (Hehlmann et al, JCO, 2011) and from two single referral centers HAMMERSMITH (De Lavallade et al, JCO, 2008) and MDA (Jain et al, Blood, 2013). Results: Till 15.05.2014 2978 patients were registered in the EUTOS Population-based registry. 94.3% of the patients were diagnosed in chronic phase (CP), 3.6% in accelerated phase (AP), and 2.2% in blastic phase (BP). For the calculation of the prognostic scores 361 patients had to be excluded because they were pretreated. For the comparison we used 2350 patients in Chronic Phase with laboratory values before any treatment. 54% of the patients in the EUTOS Population-based registry were male, less than in all studies (56.6 - 60.6%). The median age at diagnosis was 56 years, higher than in all studies (46 - 55). In EUTOS the proportion of patients more than 60 years and more than 65 years old was 40.4 % and 21.9 % respectively. Similar data were rarely reported in all other studies. Median value of the spleen size below costal margin was 0. 46.1% of the patients had a palpable spleen and 15.2% had a spleen size ≥ 10 (spleen size is always reported in cm under costal margin in this abstract). The % of palpable spleen is only reported by IRIS, 25.0% and by the FRENCH Spirit group, 49.8%. The median spleen is only reported by GIMEMA, 2.0. Spleen size ≥ 10 is reported by IRIS, 6.0%, ENESTnd, 12.4% and HAMMERSMITH 25.5%. While the median values for Platelets and Hemoglobin show no big differences, the median WBC in EUTOS is 83.9 x109/l and in the Company-sponsored registration studies: IRIS 18-20 x109/l , in ENESTnd 23-26 x109/l, in DASISION 23-25 x109/l , and in BELA 22-23 x109/l, in the Investigator-sponsored studies: GIMEMA 55 x109/l , in the FRENCH SPIRIT 83-104 x109/l , in the GERMAN CML IV 75-91 x109/l , and in the single referral center study HAMMERSMITH 140 x109/l, clearly indicating that in company-sponsored, registration studies, the reported values of the WBC were not recorded prior to any treatment. The median values for Blasts, Basophils and Eosinophils show also not so big differences. The % of Sokal low risk patients is in EUTOS with 34.5% lower than in all studies (35.2 - 60%) with the exception of HAMMERSMITH 28.9%. Discussion: The EUTOS Population-based registry provides the first European wide real-world series of patients with newly diagnosed Ph+, BCR-ABL+ CML. The age and sex distribution and some baseline characteristics such as Sokal Score as well as median WBC count in the EUTOS population-based registry are different from many prospective studies. This should be taken in due consideration before extrapolating the results of treatment studies to real life. Spleen size, which is known as an important value for prediction, is only very rarely reported in clinical studies. With further follow-up, this registry will provide a population-based insight on treatment, survival, and causes of death. Disclosures Baccarani: Novartis, BMS, Pfizer, Ariad: Consultancy, Honoraria, Speakers Bureau. Hoffmann:Novartis: Research Funding. Rosti:Novartis: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria. Castagnetti:Novartis: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria; Pfizer: Consultancy. Saussele:Novartis: Honoraria, Research Funding; Bristol Myers Squibb: Honoraria, Research Funding; Pfizer: Honoraria. Steegmann:Novartis, BMS, Pfizer: Honoraria, Research Funding. Mayer:Ariad: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Novartis: Consultancy, Research Funding. Turkina:Novartis: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria. Zaritskey:Novartis: Consultancy. Clark:Novartis Pharmaceuticals Corporation: Honoraria, Research Funding, Speakers Bureau; Bristol Myers Squibb: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding. Porkka:BMS: Honoraria; BMS: Research Funding; Novartis: Honoraria; Novartis: Research Funding; Pfizer: Research Funding. Hehlmann:Novartis: Research Funding; Bristol-Myers Squibb: Research Funding. Hasford:Novartis: Research Funding. Lindoerfer:Novartis: Research Funding.

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Venetoclax and Azacitidine for Older Newly Diagnosed Patients with Acute Myeloid Leukemia: A Single-Institution Pilot Study Using Measurable Residual Disease to Guide Therapy

Blood ◽

10.1182/blood-2019-122120 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 2638-2638 ◽

Cited By ~ 1

Author(s):

Amanda Winters ◽

Jonathan A Gutman ◽

Enkhtsetseg Purev ◽

Brett M. Stevens ◽

Shanshan Pei ◽

...

Keyword(s):

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Residual Disease ◽

Refractory Disease ◽

Advisory Committees ◽

Ras Pathway ◽

Measurable Residual Disease ◽

Count Recovery

Background: Venetoclax (ven) was approved for older untreated acute myeloid leukemia (AML) patients due to high response rates and durable remissions. As a participating site in the dose escalation study, we observed deeper/more durable responses in some who received >400mg ven. We also noted 16/33 discontinued azacitidine (aza) after achieving a response; 9 relapsed and 7 remained in long term remission on ven only. Based on these observations, we designed a study that hypothesized: A)Higher initial doses of ven would allow deeper/more durable responses, and B)Multi modality high sensitivity measurable residual disease (MRD) testing could identify patients able to discontinue aza and remain on maintenance ven. Methods: This is an ongoing phase 2 study (NCT03466294) of 42 untreated AML patients ≥60 who decline/are ineligible for induction. Patients have adequate organ function and white blood cell counts <25x109/L (hydrea permitted). In cycle 1, patients receive aza 75mg/m2 on days (d) 1-7 and ven, escalated from 100 to 200 to 400 to 600mg on d 1-4. Ven continues at 600mg d 5-28 and bone marrow biopsies (BMBXs) are performed on d 8 and 28. Patients who achieve morphologic remission without count recovery have up to 14 days off therapy before subsequent cycles, with growth factor support; "upgraded" responses are recorded if count recovery occurs. Non responders discontinue or receive up to two additional cycles of aza and ven 600mg. Responders who remain MRD+ by multiparameter flow cytometry (MPFC, Hematologics) and/or digital droplet PCR (ddPCR) for as many identifiable diagnostic genes as possible also receive up to 2 additional cycles of aza and ven 600mg. MRD+ responders after 3 cycles continue aza and ven 400mg until toxicity/progression. Patients who experience MRD- responses at any time stop aza and continue ven 400mg daily (Fig 1). Results: 30 patients enrolled between May 2018 and July 2019; median age is 71 (60-88), 10% evolved from MDS and 10% and 73% had intermediate and unfavorable risk disease by ELN, respectively (Table 1). 732 adverse events (AEs) occurred; 46 (6%) were serious, the most common were neutropenic fever (37%) and pneumonia (13%). The most common >grade 2 related AEs were leukopenia (53%), thrombocytopenia (44%) and neutropenia (35%); there were no related grade 5 AEs. The overall response rate was 70% (21/30; CR=19, MLFS=2). Median number of cycles to achieve best response was 1. Significant blast reductions were seen on day 8; of the 28 with interpretable day 8 BMBXs, 10 achieved MLFS on day 8. 4 completed ≥1 cycle and were refractory. An additional 4 did not complete cycle 1: 1 died of disease and 3 elected to come off therapy (all subsequently died of disease). Four (19%) responders relapsed, after a median 180 days (27-279). With median follow up of 214 days, median response duration has not been reached. 10 patients died, after a median 65 days (29-256); 1/30 died within 30 days. Median overall survival has not been reached. Of the 26 who completed ≥1 cycle, 19 were MRD- by MPFC, including 18/19 who achieved CR. Of these 26, 3 were not monitored by ddPCR: for 2 patients this was due to the absence of detectable baseline mutations and for 1 patient it was due to refractory disease. The remaining 23 had ddPCR monitoring; 3 became MRD- by this modality (Fig 2). All 3 were also MRD- by MPFC and per protocol discontinued aza and initiated ven maintenance (Fig 1). MRD negativity by both parameters occurred after cycles 1, 2 and 3, respectively. One MRD- patient relapsed after 216 days; two remain in remission after 301 and 124 days. An additional 4 who achieved MRD+ responses discontinued aza at their insistence (and in violation of the protocol); 1 relapsed after 279 days, and 3 remain in ongoing remission. Univariate predictors of refractory disease were FAB M0/M1 (OR 0.070, p=0.02) and RAS pathway mutations (OR 14.25, p=0.02). Conclusions: Higher initial doses of ven are tolerated in this population. Blast reduction occurs quickly in many patients (day 8), for this low intensity regimen. Response rates are consistent with lower doses of ven. Very deep responses, as measured by highly sensitive MRD methods (MPFC and ddPCR are capable of sensitivity up to 0.02%), are attainable. Longer follow up time will determine if higher ven doses and MRD-driven decisions related to continuation of aza result in more durable responses. Increased maturation of blasts and RAS pathway mutations are predictors for refractory disease. Disclosures Lyle: Pfizer: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo Incyte: Membership on an entity's Board of Directors or advisory committees; Agios: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Pollyea:Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: 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; Celyad: Consultancy, Membership on an entity's Board of Directors or advisory committees; Diachii Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Forty-Seven: Consultancy, Membership on an entity's Board of Directors or advisory committees.

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The Impact of Clonal Hematopoiesis of Indeterminate Potential on Survival in Patients with Newly Diagnosed Acute Myeloid Leukemia

Blood ◽

10.1182/blood-2018-99-116240 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 4359-4359

Author(s):

Koji Sasaki ◽

Rashmi Kanagal-Shamanna ◽

Guillermo Montalban-Bravo ◽

Rita Assi ◽

Kiran Naqvi ◽

...

Keyword(s):

Next Generation Sequencing ◽

Myeloid Leukemia ◽

Research Funding ◽

Newly Diagnosed ◽

Next Generation ◽

Risk Of Death ◽

Genetics Research ◽

The Impact ◽

Generation Sequencing

Abstract Introduction: Clearance of detected somatic mutations at complete response by next-generation sequencing is a prognostic marker for survival in patients with acute myeloid leukemia (AML). However, the impact of allelic burden and persistence of clonal hematopoiesis of indeterminate potential (CHIP)-associated mutations on survival remains unclear. The aim of this study is to evaluate the prognostic impact of allelic burden of CHIP mutations at diagnosis, and their persistence within 6 months of therapy. Methods: From February 1, 2012 to May 26, 2016, we reviewed 562 patients with newly diagnosed AML. Next-generation sequencing was performed on the bone marrow samples to detect the presence of CHIP-associated mutations defined as DNMT3A, TET2, ASXL1, JAK2 and TP53. Overall survival (OS) was defined as time period from the diagnosis of AML to the date of last follow-up or death. Univariate (UVA) and multivariate Cox proportional hazard regression (MVA) were performed to identify prognostic factors for OS with p value cutoff of 0.020 for the selection of variables for MVA. Landmark analysis at 6 months was performed for the evaluation of the impact of clearance of CHIP, FLT3-ITD, FLT3D835, and NPM1 mutations. Results: We identified 378 patients (74%) with AML with CHIP mutations; 134 patients (26%) with AML without CHIP mutations. The overall median follow-up of 23 months (range, 0.1-49.0). The median age at diagnosis was 70 years (range, 17-92) and 66 years (range, 20-87) in CHIP AML and non-CHIP AML, respectively (p =0.001). Of 371 patients and 127 patients evaluable for cytogenetic in CHIP AML and non-CHIP AML, 124 (33%) and 25 patients (20%) had complex karyotype, respectively (p= 0.004). Of 378 patients with CHIP AML, 183 patients (48%) had TET2 mutations; 113 (30%), TP53; 110 (29%), ASXL1; 109 (29%), DNMT3A; JAK2, 46 (12%). Of 378 patients, single CHIP mutations was observed in 225 patients (60%); double, 33 (9%); triple, 28 (7%); quadruple, 1 (0%). Concurrent FLT3-ITD mutations was detected in 47 patients (13%) and 12 patients (9%) in CHIP AML and non-CHIP AML, respectively (p= 0.287); FLT3-D835, 22 (6%) and 8 (6%), respectively (p= 0.932); NPM1 mutations, 62 (17%) and 13 (10%), respectively (p= 0.057). Of 183 patients with TET2-mutated AML, the median TET2 variant allele frequency (VAF) was 42.9% (range, 2.26-95.32); of 113 with TP53-mutated AML, the median TP53 VAF, 45.9% (range, 1.15-93.74); of 109 with ASXL1-mutated AML, the median ASXL1 VAF was 34.5% (range, 1.17-58.62); of 109 with DNMT3A-mutated AML, the median DNMT3A VAF was 41.8% (range, 1.02-91.66); of 46 with JAK2-mutated AML, the median JAK2 VAF was 54.4% (range, 1.49-98.52). Overall, the median OS was 12 months and 11 months in CHIP AML and non-CHIP AML, respectively (p= 0.564); 16 months and 5 months in TET2-mutated AML and non-TET2-mutated AML, respectively (p <0.001); 4 months and 13 months in TP53-mutated and non-TP53-mutated AML, respectively (p< 0.001); 17 months and 11 months in DNMT3A-mutated and non-DNMT3A-mutated AML, respectively (p= 0.072); 16 months and 11 months in ASXL1-mutated AML and non-ASXL1-mutated AML, respectively (p= 0.067); 11 months and 12 months in JAK2-murated and non-JAK2-mutated AML, respectively (p= 0.123). The presence and number of CHIP mutations were not a prognostic factor for OS by univariate analysis (p=0.565; hazard ratio [HR], 0.929; 95% confidence interval [CI], 0.722-1.194: p= 0.408; hazard ratio, 1.058; 95% confidence interval, 0.926-1.208, respectively). MVA Cox regression identified age (p< 0.001; HR, 1.036; 95% CI, 1.024-1.048), TP53 VAF (p= 0.007; HR, 1.009; 95% CI, 1.002-1.016), NPM1 VAF (p=0.006; HR, 0.980; 95% CI, 0.967-0.994), and complex karyotype (p<0.001; HR, 1.869; 95% CI, 1.332-2.622) as independent prognostic factors for OS. Of 33 patients with CHIP AML who were evaluated for the clearance of VAF by next generation sequencing , landmark analysis at 6 months showed median OS of not reached and 20.3 months in patients with and without CHIP-mutation clearance, respectively (p=0.310). Conclusion: The VAF of TP53 and NPM1 mutations by next generation sequencing can further stratify patients with newly diagnosed AML. Approximately, each increment of TP53 and NPM1 VAF by 1% is independently associated with 1% higher risk of death, and 2% lower risk of death, respectively. The presence of CHIP mutations except TP53 does not affect outcome. Disclosures Sasaki: Otsuka Pharmaceutical: Honoraria. Short:Takeda Oncology: Consultancy. Ravandi:Macrogenix: Honoraria, Research Funding; Seattle Genetics: Research Funding; Sunesis: Honoraria; Xencor: Research Funding; Jazz: Honoraria; Seattle Genetics: Research Funding; Abbvie: Research Funding; Macrogenix: Honoraria, Research Funding; Bristol-Myers Squibb: Research Funding; Orsenix: Honoraria; Abbvie: Research Funding; Jazz: Honoraria; Xencor: Research Funding; Orsenix: Honoraria; Sunesis: Honoraria; Amgen: Honoraria, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Research Funding; Astellas Pharmaceuticals: Consultancy, Honoraria; Amgen: Honoraria, Research Funding, Speakers Bureau; Astellas Pharmaceuticals: Consultancy, Honoraria. Kadia:BMS: Research Funding; Abbvie: Consultancy; Takeda: Consultancy; Jazz: Consultancy, Research Funding; Takeda: Consultancy; Amgen: Consultancy, Research Funding; Celgene: Research Funding; Novartis: Consultancy; Amgen: Consultancy, Research Funding; BMS: Research Funding; Jazz: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Novartis: Consultancy; Abbvie: Consultancy; Celgene: Research Funding. DiNardo:Karyopharm: Honoraria; Agios: Consultancy; Celgene: Honoraria; Medimmune: Honoraria; Bayer: Honoraria; Abbvie: Honoraria. Cortes:Novartis: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Astellas Pharma: Consultancy, Research Funding; Arog: Research Funding.

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Database-Guided Analysis for Immunophenotypic Diagnosis and Follow-Up of Acute Myeloid Leukemia With Recurrent Genetic Abnormalities

Frontiers in Oncology ◽

10.3389/fonc.2021.746951 ◽

2021 ◽

Vol 11 ◽

Author(s):

Carmen-Mariana Aanei ◽

Richard Veyrat-Masson ◽

Cristina Selicean ◽

Mirela Marian ◽

Lauren Rigollet ◽

...

Keyword(s):

Myeloid Leukemia ◽

Residual Disease ◽

Hematologic Malignancies ◽

Multicolor Flow Cytometry ◽

Phenotypic Differences ◽

Molecular Tests ◽

Genetic Abnormalities ◽

Myeloid Leukemias ◽

Acute Myeloid

Acute myeloid leukemias (AMLs) are hematologic malignancies with varied molecular and immunophenotypic profiles, making them difficult to diagnose and classify. High-dimensional analysis algorithms might increase the utility of multicolor flow cytometry for AML diagnosis and follow-up. The objective of the present study was to assess whether a Compass database-guided analysis can be used to achieve rapid and accurate diagnoses. We conducted this study to determine whether this method could be employed to pilote the genetic and molecular tests and to objectively identify different-from-normal (DfN) patterns to improve measurable residual disease follow-up in AML. Three Compass databases were built using Infinicyt 2.0 software, including normal myeloid-committed hematopoietic precursors (n = 20) and AML blasts harboring the most frequent recurrent genetic abnormalities (n = 50). The diagnostic accuracy of the Compass database-guided analysis was evaluated in a prospective validation study (125 suspected AML patients). This method excluded AML associated with the following genetic abnormalities: t(8;21), t(15;17), inv(16), and KMT2A translocation, with 92% sensitivity [95% confidence interval (CI): 78.6%–98.3%] and a 98.5% negative predictive value (95% CI: 90.6%–99.8%). Our data showed that the Compass database-guided analysis could identify phenotypic differences between AML groups, representing a useful tool for the identification of DfN patterns.

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Impact of hematologic malignancy and type of cancer therapy on COVID-19 severity and mortality: lessons from a large population-based registry study

Journal of Hematology & Oncology ◽

10.1186/s13045-020-00970-7 ◽

2020 ◽

Vol 13 (1) ◽

Cited By ~ 4

Author(s):

Julio García-Suárez ◽

◽

Javier de la Cruz ◽

Ángel Cedillo ◽

Pilar Llamas ◽

...

Keyword(s):

Prognostic Factors ◽

Cancer Therapy ◽

Hematologic Malignancy ◽

Large Population ◽

Hematologic Malignancies ◽

Population Based ◽

Clinical Severity ◽

Primary Study ◽

Registry Study ◽

Population Based Registry

Abstract Background Patients with cancer have been shown to have a higher risk of clinical severity and mortality compared to non-cancer patients with COVID-19. Patients with hematologic malignancies typically are known to have higher levels of immunosuppression and may develop more severe respiratory viral infections than patients with solid tumors. Data on COVID-19 in patients with hematologic malignancies are limited. Here we characterize disease severity and mortality and evaluate potential prognostic factors for mortality. Methods In this population-based registry study, we collected de-identified data on clinical characteristics, treatment and outcomes in adult patients with hematologic malignancies and confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection within the Madrid region of Spain. Our case series included all patients admitted to 22 regional health service hospitals and 5 private healthcare centers between February 28 and May 25, 2020. The primary study outcome was all-cause mortality. We assessed the association between mortality and potential prognostic factors using Cox regression analyses adjusted for age, sex, comorbidities, hematologic malignancy and recent active cancer therapy. Results Of 833 patients reported, 697 were included in the analyses. Median age was 72 years (IQR 60–79), 413 (60%) patients were male and 479 (69%) and 218 (31%) had lymphoid and myeloid malignancies, respectively. Clinical severity of COVID-19 was severe/critical in 429 (62%) patients. At data cutoff, 230 (33%) patients had died. Age ≥ 60 years (hazard ratios 3.17–10.1 vs < 50 years), > 2 comorbidities (1.41 vs ≤ 2), acute myeloid leukemia (2.22 vs non-Hodgkin lymphoma) and active antineoplastic treatment with monoclonal antibodies (2·02) were associated with increased mortality; conventional chemotherapy showed borderline significance (1.50 vs no active therapy). Conversely, Ph-negative myeloproliferative neoplasms (0.33) and active treatment with hypomethylating agents (0.47) were associated with lower mortality. Overall, 574 (82%) patients received antiviral therapy. Mortality with severe/critical COVID-19 was higher with no therapy vs any antiviral combination therapy (2.20). Conclusions In this series of patients with hematologic malignancies and COVID-19, mortality was associated with higher age, more comorbidities, type of hematological malignancy and type of antineoplastic therapy. Further studies and long-term follow-up are required to validate these criteria for risk stratification.

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