Risk Factors for Thromboembolism (TE) in Multiple Myeloma (MM) Patients (pts) Treated with Immunomodulatory Agents (IMiDs) Plus Dexamethasone (dex)

Abstract Introduction: MM pts have one of the highest risks of TE among cancer pts. Use of IMiDs plus dex further increases this risk. Guidelines recommend thromboprophylaxis based on risk assessment; however, limited large-scale studies have attempted to validate previous and identify new patient-specific risk factors associated with TE in MM pts. Methods: We conducted a retrospective review of 834 new or relapsed MM pts treated at Levine Cancer Institute between January 2012 to December 2017. Eligibility criteria for final analysis included age ≥ 18 years, diagnosis of MM, and treatment with thalidomide, lenalidomide or pomalidomide plus dex. Incidence of TE, including pulmonary embolism, deep vein thrombosis, and myocardial or cerebrovascular infarction, was documented up to 6 months after start of IMiD therapy. Presence of anticoagulation (AC)/antiplatelet therapy and type (aspirin [ASA], clopidogrel, low molecular weight heparin, warfarin, rivaroxaban, apixaban, dabigatran) were documented for each pt. Univariate and multivariable logistic regression models were used to investigate the association between TE incidence and race, gender, age, BMI, cytogenetic risk level, disease burden (bone marrow plasma cell percentage), AC/antiplatelet use, history of TE, and presence or history of comorbidities, including diabetes, kidney disease, atrial fibrillation, coronary artery disease, heart disease, and clotting disorder. Results: Of 834 pts, 373 were eligible for final analysis; 311 were excluded for not receiving an IMiD, 109 did not receive dex concomitantly with IMiD, and the remainder had other plasma cell dyscrasias and/or insufficient records. Mean age at IMiD start was 65.8 years; 48.5% were female, 58.2% Caucasian, and 35.4% African American. Most pts (96.5%) received lenalidomide as initial IMiD and 24% had high-risk disease. Half of all pts had ≥ 1 comorbidity, 8% had a history of TE, 73.7% received ASA prophylaxis, 14.2% received a stronger AC, and 12.1% did not receive thromboprophylaxis. The overall TE incidence was 31/373 (8.3%), of which 25 (6.7%) were venous and 6 (1.6%) were arterial. Of these, 30 received thromboprophylaxis. TE incidence among patients receiving ASA was 25/275 (21 venous, 4 arterial) and incidence among patients receiving stronger ACs was 5/53 (4 venous, 1 arterial). The univariate and multivariable results are summarized in the table. In univariate analysis, presence of ≥ 1 comorbidity (OR 2.98, 95% CI 1.30-6.84; p=0.01) and history of kidney disease (OR 2.65, 95% CI 1.25-5.62; p=0.01) were significantly associated with TE incidence; a trend was noted for higher TE risk in males (p=0.06). Presence of any comorbidity was the only covariate retained in the multivariable model (OR 2.82, 95% CI 1.22-6.57; p=0.016). TE incidence in pts with any comorbidity was 12% compared to 4.4% in those without any comorbidity (p=0.008). No other clinical factors were associated with TE incidence. Conclusion: In a large single-institution analysis, we identified that MM pts with ≥ 1 comorbidity had a significantly higher risk of TE. This is consistent with current guidelines that recommend use of at least ASA prophylaxis in this population with escalation to stronger AC in patients with more than one comorbidity. Of the comorbidities studied, kidney disease was the only one significant in univariate analysis. Unique to our study, we evaluated the association between disease burden and cytogenetic risk with TE incidence and identified no significant association. Also, prior studies suggest African Americans are at a higher TE risk, however, this was not the case in our population, which was comprised of at least one-third African Americans. Interestingly, while the goal of thromboprophylaxis is to decrease TE risk, there remained an 8.3% event rate with all but one of the patients prescribed prophylaxis when the event occurred. While compliance with thromboprophylaxis is difficult to quantify, this raises concern that ASA and some ACs may not be sufficient to ameliorate TE risk entirely. Adherence to current prophylaxis guidelines is critical, along with further prospective investigation into which ACs are most efficacious at preventing TE events, particularly in high risk pts. Table. Table. Disclosures Voorhees: Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: served on an IRC; Amgen Inc.: Speakers Bureau; TeneoBio: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: served on an IRC; Novartis: Consultancy, Other: served on an IRC; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Usmani:Abbvie, Amgen, Celgene, Genmab, Merck, MundiPharma, Janssen, Seattle Genetics: Consultancy; Amgen, BMS, Celgene, Janssen, Merck, Pharmacyclics,Sanofi, Seattle Genetics, Takeda: Research Funding.

Download Full-text

A JAK2V617F Variant Allele Frequency Greater Than 50% Identifies Patients with Polycythemia Vera at High Risk for Venous Thrombosis

Blood ◽

10.1182/blood-2021-147869 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 237-237

Author(s):

Giuseppe Gaetano Loscocco ◽

Paola Guglielmelli ◽

Carmela Mannarelli ◽

Elena Rossi ◽

Francesco Mannelli ◽

...

Keyword(s):

Risk Factors ◽

High Risk ◽

Venous Thrombosis ◽

Board Of Directors ◽

Univariate Analysis ◽

Multivariable Analysis ◽

Advisory Committees ◽

Free Survival ◽

History Of ◽

Independent Risk Factors

Abstract Background: Thrombosis is the main cause of morbidity and mortality in pts with Polycythemia Vera (PV). Current risk stratification is based on 2 variables: age >60y and history of thrombosis. Additional thrombotic risk factors in PV are generic cardiovascular risk factors and leukocytosis. JAK2V617F (JAK2VF) variant allele frequency (VAF) at diagnosis is highly heterogeneous. A VAF>75% was associated with higher rate of all thrombosis after diagnosis (Vannucchi AM et al, Leukemia 2007), and a VAF ≥ 60% correlated with increased rate of venous thrombosis (VT) in high-risk pts (Guglielmelli P et al, ASH 2018); however, predictive role of JAK2VF VAF is still debated. Aim: To evaluate the impact of JAK2VF VAF on rate of arterial and venous thrombosis in PV pts. Patients and methods: A cohort of 576 strictly 2016 WHO-defined PV pts followed at Univ. of Florence (1981-2020) were included. All pts were annotated for JAK2VF VAF, determined <3 years from diagnosis, and thrombosis at diagnosis and follow-up (FU). Arterial thromboses (AT) included stroke, transient ischemic attacks, retinal artery occlusion, coronary artery disease, and peripheral arterial disease; VT included cerebral venous thrombosis, deep vein thrombosis, pulmonary embolism. Splanchnic vein thromboses (SVT) were excluded. Only first occurring event was considered. Cox proportional hazard regression model was used for univariate and multivariable analysis. Kaplan-Meier (KM) analysis was used for time-to-event assessment, compared by log-rank test. Results: Median age was 61.4 y (range, 16.2-91.8), 58.2% were male; 62% were high-risk based on current classification. Median JAK2VF VAF was 41.5% (range, 0.3-100). A total of 76 (13.2%) pts had an AT event before/at PV diagnosis and 49 (8.5%) pts had an AT during FU. As regards VT, 64 (11.1%) and 39 (6.8%) pts had a VT before/at or after PV diagnosis, respectively. We found that JAK2 VAF as a continue variable was correlated with the risk of VT in FU (p=0.003) but not with AT (p=0.8). ROC analysis to determine the best cut-off level for JAK2 VAF predicting VT had an AUC of 0.72 and a best cut-off value of VAF=50%. VT at FU were significantly enriched in pts with VAF >50%: 14.5% versus 2.4%, p=<0.0001. VT -free survival (VT-FS) by KM was significantly shorter in the presence of a JAK2 VAF >50% (HR 4, CI 1.9-8.6, p<0.0001) (Figure 1A), whereas no difference was found for AT (HR 0.9). In addition to JAK2VF VAF>50%, univariate analysis for VT-FS identified history of VT (HR 2.9; CI 1.4-6.1, p=0.006), leukocytosis ≥11x10 9/L (HR 1.9; CI 1.1-3.4, p=0.02) and palpable splenomegaly (HR 1.9, CI 1-3.6; p=0.04) as risk factors. Multivariable analysis confirmed VAF>50% (HR 3.8, CI 1.8-8.1, p=0.0006) and previous VT (HR 2.4, CI 1.1-5.1; p=0.02) as independent risk factors for future VT. In contrast, univariate analysis for AT-free survival (AT-FS) identified history of AT (HR 2.5; CI 1.3-4.9, p=0.007), diabetes (HR 3.3; CI 1.6-6.5, p=0.0007), hyperlipidemia (HR 3.1; CI 1.7-5.6, p=0.0003) and hypertension (HR 2, CI 1.1-3.8; p=0.03) as predictors of future AT; age >60y showed only a trend (p=0.08). Multivariable analysis for AT-FS identified diabetes (HR 2.4, CI 1.2-5; p=0.02), hyperlipidemia (HR 2.3; CI 1.2-4.3, p=0.01) and previous AT (HR 2.1, CI 1-4.2; p=0.04) as independent predictors of future AT. Validation: Our findings were validated in an independent cohort of 315 2016-WHO defined PV pts from Policlinico Gemelli, Catholic Univ., Rome. After exclusion of 26 pts with SVT, analysis was conducted on 289 pts, 38 of them with thrombosis as heralding event (21 AT and 17 VT). Multivariable analysis confirmed JAK2VF VAF >50% (HR 2.3, CI 1.03-5.0, p=0.04) and previous VT (HR 4.5, CI 2.0-10.1; p=0.0003) as independent risk factors for future VT. In pts with VAF >50%, the rate of VT at FU was 19.9% vs 7.7%, P=0.005. KM curve showed that VT-FS was significantly shorter in pts with a JAK2VF VAF >50% (HR 2.2, CI 1.2-4.2; p=0.01) (Figure 1B). Of note, impact of JAK2 VAF>50% on VT at FU was statistically significant particularly in conventionally low-risk pts, accounting for an HR of 9.4 (CI 1.2-72) and HR 3.6 (CI 1.3-10) in Florence and Rome cohorts, respectively. Conclusions: These data support JAK2VF VAF as a strong independent predictor for future venous thrombosis in PV, in association with history of prior venous events, reinforcing that AT and VT are associated with unique risk factors in pts with PV. Supported by AIRC, Project Mynerva n.21267 Figure 1 Figure 1. Disclosures Vannucchi: BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees.

Download Full-text

Prognostic Factors for Developing Thrombosis in Polycytemia Vera: A Retrospective Analysis of 331 Patients with Long-Term Follow-up Highlights the Importance of White Blood Cells Levels

Blood ◽

10.1182/blood-2020-139431 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 48-49

Author(s):

Samantha Ferrari ◽

Chiara Pagani ◽

Mariella D'Adda ◽

Nicola Bianchetti ◽

Annamaria Pelizzari ◽

...

Keyword(s):

Risk Factors ◽

Multivariate Analysis ◽

High Risk ◽

Board Of Directors ◽

Advisory Board ◽

Advisory Committees ◽

Risk Status ◽

History Of ◽

Wbc Count

Polycythemia Vera (PV) is a chronic myeloproliferative neoplasm characterized by erythrocytosis, constitutively active mutations in JAK2 and an increased susceptibility to thrombotic events (TEs). There is still controversy about the role of increased hematocrit and of other variables including elevated white blood cell count as risk factors for the occurrence of TEs. A better definition of the relative prognostic importance of hematologic parameters would help us to better tailor the therapeutic approach to PV patients (pts), which is currently mainly based on the use of acetilsalycilic acid (ASA), venesection and hydroxyurea . The aim of our study was to analyze if any clinical or laboratory variables were significantly associated to the occurrence of TEs both at PV diagnosis and during the course of the disease in a large series of PV pts uniformly followed at a single Center over a period of 29.5 years from January 1986 to June 2019. Clinical and laboratory data were obtained from the time of diagnosis until death, progression to acute leukemia or last follow-up. Hematocrit (Hct), hemoglobin (Hb), white blood cell (WBC) and platelet (PLT) levels were recorded for each patient at least every 6 months. Among a total of 331 pts, the median age was 65 years (range 30-92 years), and 56% were male. "High risk" features (age ≥ 60 years and/or history of prior thrombosis) were present in 221 pts (66.7%). The incidence of cardiovascular risk factors was: hypertension 64%, diabetes 15%, hyperlipidemia 28%, history of active or remote smoking 41%. Patients on ASA were 279 (84%), 19 (6%) were on oral anticoagulation, while 27 (8%) were on ASA+oral anticoagulant. At PV diagnosis 54 pts (16%) presented with thrombosis, arterial in 32 (59%) and venous in 22 (41%). A previous TE was recorded in 57 pts (17%): in 43 (75%) arterial, in 12 (22%) venous and in 2 (3%) mixed (arterial+venous). Previous thrombosis was the only variable significantly associated with the presence of a TE at PV diagnosis (P=0.02). After PV diagnosis, with a median follow-up of 81 months (range 1-374 months), 63 pts (19%) experienced a TE and 11 of them a further episode, for a total of 74 TEs. The incidence rate (pts/year) of TEs was 2.7%. Forty-two events were arterial (57%), 31 were venous (42%) and 1 (1%) was mixed. It was the first TE for 37 pts. Cerebrovascular accidents and deep-venous thrombosis were the most frequent arterial and venous TEs both at PV diagnosis and throughout the disease course, with a relative incidence of 50% and 32% respectively. The table compares the characteristics of patients who did or did not develop a TE after PV diagnosis. At univariate analysis, PV high risk status, a previous TE and hyperlipidemia at PV diagnosis were significantly associated with a subsequent TE. Among hematologic variables an elevated WBC count at the time of thrombosis, but not Hct or PLT levels, was highly significantly associated with the development of a TE. At multivariate analysis, WBC count ≥10.4 x 10^9/L and hyperlipidemia maintained their independent prognostic value, while high risk status and a previous TE lost their prognostic significance. Both at univariate and multivariate analysis, hyperlipidemia at diagnosis (P=0.009 and P=0.002) and high WBC count at thrombosis (P=0.001 and P=<0.0001) predicted for arterial thromboses, while only a history of prior thrombosis (P=0.03) predicted for venous ones. In conclusion, our analysis confirms that elevated WBC count at the moment of the event more than increased hematocrit is associated to the development of thrombosis in PV pts. We also found that hyperlipidemia was an independent risk factor for arterial thrombosis, calling for an accurate management of increased lipid levels. Whether a reduction of the WBC count during the course of PV may reduce the frequency of TE remains to be demonstrated by prospective studies. Table Disclosures D'Adda: Novartis: Other: Advisory board; Incyte: Other: Advisory board; Pfizer: Other: Advisory board. Rossi:Daiichi Sankyo: Consultancy, Honoraria; Sanofi: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Novartis: Other: Advisory board; Alexion: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Jazz: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees.

Download Full-text

Risk Factors for Thrombosis Among 1,545 Patients with Polycythemia Vera: An International Study.

Blood ◽

10.1182/blood.v120.21.2849.2849 ◽

2012 ◽

Vol 120 (21) ◽

pp. 2849-2849

Author(s):

Guido Finazzi ◽

Elisa Rumi ◽

Alessandro M. Vannucchi ◽

Maria Luigia Randi ◽

Ilaria Nichele ◽

...

Keyword(s):

Risk Factors ◽

Venous Thrombosis ◽

Board Of Directors ◽

Arterial Thrombosis ◽

Myeloproliferative Neoplasms ◽

Univariate Analysis ◽

Abnormal Karyotype ◽

Advisory Committees ◽

Free Survival ◽

History Of

Abstract Abstract 2849 Background We have previously reported on the natural history of polycythemia vera (PV), focusing primarily on overall and leukemia-free survival (ASH Annual Meeting Abstracts. 2011;118(21):277-). In the current study, we present, on behalf of the International Working Group for Myeloproliferative neoplasms Resarch and Treatment (IWG-MRT), our analysis regarding risk factors for thrombosis. Methods Under the auspices of IWG-MRT, seven international centers of excellence for myeloproliferative neoplasms participated in the current study. The two principle investigators (AT and TB) reviewed all the cases and selected 1,545 patients who met the 2008 WHO criteria for PV, were age 18 years or older, diagnosed after 1970, and whose submitted data included diagnostically essential information. Results I: Presenting Features Median age was 61 years (range, 18–95; 51% females). Arterial and venous thrombosis history before or at diagnosis was documented in 246 (16%) patients and 114 (7.4%) patients, respectively. Major hemorrhage hemorrhage before or at diagnosis was documented in 17 (4.5%) patients. Other features at diagnosis included pruritus (36%), microvascular disturbances (28.5%), palpable splenomegaly (36%), abnormal karyotype (12%), leukoerythroblastosis (6%), increased LDH (50%), thrombocytosis (53%), extreme thrombocytosis (platelets >1 million mm3; 4%) leukocytosis (49%), JAK2 V617F (95%), other JAK2 mutations (3%), subnormal serum erythropoietin (Epo) level (81%), and endogenous erythroid colonies (EEC; 73%). History of hypertension (46%), hyperlipidemia (18.3%), diabetes (8.4%), and tobacco use (16%) was also obtained. Results II: Clinical Course To date, 347 (23%) deaths, 50 (3%) leukemic progressions, and 138 (9%) fibrotic transformations have been recorded. Overall, cytoreductive treatment was not used in 416 (27%) patients and the remaining were exposed to different agents based on physician discretion. Post-diagnosis arterial or venous thrombosis occurred in 184 (12%) and 137 (9%) patients, respectively. Results III: Risk Factors for thrombosis Arterial and venous thrombosis-free survival, from time of diagnosis, were separately analyzed using the occurrence of thrombosis as the endpoint (uncensored variable) and last follow-up or death before thrombosis as the censored variable. In univariate analysis, the following were significantly associated with post-diagnosis arterial thrombosis: advanced age, leukocyte count, presence of a leukoerythroblastic smear (LES), history of hypertension and history of arterial thrombosis before or at diagnosis; multivariable analysis using all these five parameters identified arterial thrombosis history (RR 2.5, 95% CI 1.6–4.0; p<0.0001), LES (RR 2.3, 95% CI 1.3–4.2; p=0.005) and history of hypertension (RR 1.6, 95% CI 1.1–2.4; p=0.02) as independent predictors of post-diagnosis arterial thrombosis. Only two parameters predicted post-diagnosis venous thrombosis, in univariate analysis, and both remained significant during multivariable analysis: abnormal karyotype (RR 3.1, 95% CI 1.7–5.4; p=0.0001) and history of venous thrombosis (RR 2.4, 95% CI 1.2–4.9). Of note, the type of JAK2 mutation or presence of either subnormal Epo or EEC did not influence either arterial or venous thrombosis. Results IV: Risk Stratification for arterial and venous thrombosis The figures below illustrated arterial or venous thrombosis-free survival of patients stratified by the absence of all risk factors or presence of one or ≥2 risk factors. For arterial thrombosis, the presence of ≥2 risk factors clearly delineated a high risk group (RR 3.1, 95% CI 1.9–5.0) whereas the presence of one (RR 2.4, 95% CI 1.4–4.2) or two risk factors (RR 10.1, 95% CI 3.6–28.2) for venous thrombosis delineated an intermediate and high risk group, respectively. Conclusions: History of arterial thrombosis and venous thrombosis are key risk factors, respectively, for recurrent arterial and venous thrombosis in PV. In addition, abnormal karyotype is a strong independent risk factor for venous thrombosis and the presence of leukoerythroblastosis and hypertension, for arterial thrombosis. This information allows for a simple and practical risk stratification and raises interesting pathogenetic implications that require further clarification. Disclosures: Vannucchi: Novartis: Membership on an entity's Board of Directors or advisory committees. Gisslinger:Novartis: Consultancy, Research Funding, Speakers Bureau; Celgene: Consultancy, Research Funding, Speakers Bureau. Passamonti:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi-Aventis: Honoraria, Membership on an entity's Board of Directors or advisory committees.

Download Full-text

Multicenter Analysis of Treatment and Outcomes for Patient with TP53 Mutated AML in the Era of Novel Therapies; Significant Impact of Allogeneic Stem Cell Transplantation on Survival

Blood ◽

10.1182/blood-2021-147639 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 797-797

Author(s):

Talha Badar ◽

Mark R. Litzow ◽

Rory M. Shallis ◽

Jan Philipp Bewersdorf ◽

Antoine Saliba ◽

...

Keyword(s):

Stem Cell ◽

High Risk ◽

Stem Cell Transplantation ◽

Board Of Directors ◽

Research Funding ◽

Univariate Analysis ◽

Advisory Board ◽

Novel Therapies ◽

Advisory Committees ◽

Tp53 Mutations

Abstract Background: TP53 mutations occur in 10-20% of patients with AML, constitute high-risk disease as per ELN criteria, and confer poorer prognosis. Venetoclax combination therapies and CPX-351 were recently approved for AML treatment and lead to improved outcomes in subsets of high-risk AML, however the most effective approach for treatment of TP53-mutated (m) AML remains unclear. In this study we explored the clinical outcome of TP53m AML patients treated over the last 8 years as novel therapies have been introduced to our therapeutic armamentarium. Methods: We conducted a multicenter observational study in collaboration with 4 U.S. academic centers and analyzed clinical characteristics and outcome of 174 TP53m AML patients diagnosed between March 2013 and February 2021. Mutation analysis was performed on bone marrow specimens using 42, 49, 199, or 400 gene targeted next generation sequencing (NGS) panels. Patients with an initial diagnosis of AML were divided into 4 groups (GP) based on the progressive use of novel therapies in clinical trials and their approvals as AML induction therapy during different time periods: 2013-2017 (GP1, n= 37), 2018-2019 (GP2, n= 53), 2019-2020 (GP3, n= 48) and 2020-2021 (GP4, n= 36) to analyze difference in outcome. Results: Baseline characteristics were not significantly different across different GP, as shown in Table 1. Median age of patients was 68 (range [R], 18-83), 65 (R, 29-88), 69 (R, 37-90) and 70 (R, 51-97) years in GP1-4, respectively (p=0.40). The percentage of patients with de novo AML/secondary AML/therapy-related AML in GP1-4 was 40/40/20, 36/29/24, 37.5/37.5/25 and 28/52/20, respectively (p=0.82). The proportion of patients with complex cytogenetics (CG) was 92%, 89%, 96% and 94% in GP1-4, respectively (p=0.54). The median TP53m variant allele frequency (VAF) was 48% (range [R], 5-94), 42% (R, 5-91), 45% (R, 10-94) and 60% (R, 8-82) in GP1-4, respectively (p=0.38). Four (11%), 13 (24.5%), 10 (21%) and 9 (25%) patients had multiple TP53 mutations in GP1-4, respectively (p=0.33). The proportion of patients who received 3+7 (30%, 16%, 6% & 8%; p=0.01), HMA only (11%, 18%, 2% & 8%; p=0.06), venetoclax-based (2.5%, 12%, 48%, & 61%; p <0.01) and CPX-351 induction (16%, 40%, 28% & 5%; p<0.001) were varied in GP1-4, respectively. The rate of CR/CRi was 22%, 26%, 28% and 18% in GP1-4, respectively (p=0.63). Treatment related mortality during induction was observed in 3%, 7%, 10% and 17% of patients in GP1-4, respectively (p=0.18). Overall, 28 (16%) patients received allogeneic hematopoietic stem cell transplantation (alloHCT) after induction/consolidation: 22%, 15%, 17% and 11% in GP1-4, respectively (p=0.67). In subset analysis, there was no difference in the rate of CR/CRi with venetoclax-based regimens vs. others (39% vs 61%, p=0.18) or with CPX-351 vs. others (25% vs 75%, p=0.84). The median progression-free survival was 7.7, 7.0, 5.1 and 6.6 months in GP1-4, respectively (p=0.60, Fig 1A). The median overall survival (OS) was 9.4, 6.1, 4.0 and 8.0 months in GP1-4, respectively (p=0.29, Fig 1B). In univariate analysis for OS, achievement of CR/CRi (p<0.001) and alloHCT in CR1 (p<0.001) associated with favorable outcome, whereas complex CG (p=0.01) and primary refractory disease (p<0.001) associated with poor outcome. Multiple TP53 mutations (p=0.73), concurrent ASXL1m (p=0.86), extra-medullary disease (p=0.92), ≥ 3 non-TP53m mutations (p=0.72), TP53m VAF ≥ 40% vs. < 40% (p=0.25), induction with CPX-351 vs. others (p=0.59) or venetoclax-based regimen vs. others (p=0.14) did not show significance for favorable or poor OS in univariate analysis. In multivariable analysis, alloHCT in CR1 (hazard ratio [HR]=0.28, 95% CI: 0.15-0.53; p=0.001) retained an association with favorable OS and complex CG (HR 4.23, 95%CI: 1.79-10.0; p=0.001) retained an association with dismal OS. Conclusion: We present the largest experience with TP53m AML patients analyzed by NGS. Although outcomes were almost universally dismal, alloHCT appears to improve the long-term survival in a subset of these patients. Effective therapies are warranted to successfully bridge patients to alloHCT and to prolong survival for transplant ineligible patients. Figure 1 Figure 1. Disclosures Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Litzow: Omeros: Other: Advisory Board; Pluristem: Research Funding; Actinium: Research Funding; Amgen: Research Funding; Jazz: Other: Advisory Board; AbbVie: Research Funding; Astellas: Research Funding; Biosight: Other: Data monitoring committee. Shallis: Curis: Divested equity in a private or publicly-traded company in the past 24 months. Goldberg: Celularity: Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Aprea: Research Funding; Arog: Research Funding; DAVA Oncology: Honoraria; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Research Funding; Prelude Therapeutics: Research Funding; Aptose: Consultancy, Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Atallah: BMS: Honoraria, Speakers Bureau; Takeda: Consultancy, Research Funding; Amgen: Consultancy; Abbvie: Consultancy, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Research Funding. Foran: revolution medicine: Honoraria; gamida: Honoraria; bms: Honoraria; pfizer: Honoraria; novartis: Honoraria; takeda: Research Funding; kura: Research Funding; h3bioscience: Research Funding; OncLive: Honoraria; servier: Honoraria; aptose: Research Funding; actinium: Research Funding; abbvie: Research Funding; trillium: Research Funding; sanofi aventis: Honoraria; certara: Honoraria; syros: Honoraria; taiho: Honoraria; boehringer ingelheim: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding.

Download Full-text

Risk factors for a first thrombotic event in antiphospholipid antibody carriers: a prospective multicentre follow-up study

Annals of the Rheumatic Diseases ◽

10.1136/ard.2010.142042 ◽

2011 ◽

Vol 70 (6) ◽

pp. 1083-1086 ◽

Cited By ~ 104

Author(s):

Amelia Ruffatti ◽

Teresa Del Ross ◽

Manuela Ciprian ◽

Maria T Bertero ◽

Sciascia Salvatore ◽

...

Keyword(s):

Risk Factors ◽

High Risk ◽

Univariate Analysis ◽

Thrombotic Event ◽

Multivariate Logistic Regression Analysis ◽

Antiphospholipid Antibody ◽

History Of ◽

Ischaemic Attack ◽

Independent Risk Factors

ObjectivesTo assess risk factors for a first thrombotic event in confirmed antiphospholipid (aPL) antibody carriers and to evaluate the efficacy of prophylactic treatments.MethodsInclusion criteria were age 18–65 years, no history of thrombosis and two consecutive positive aPL results. Demographic, laboratory and clinical parameters were collected at enrolment, once a year during the follow-up and at the time of the thrombotic event, whenever that occurred.Results258 subjects were prospectively observed between October 2004 and October 2008. The mean±SD follow-up was 35.0±11.9 months (range 1–48). A first thrombotic event (9 venous, 4 arterial and 1 transient ischaemic attack) occurred in 14 subjects (5.4%, annual incidence rate 1.86%). Hypertension and lupus anticoagulant (LA) were significantly predictive of thrombosis (both at p<0.05) and thromboprophylaxis was significantly protective during high-risk periods (p<0.05) according to univariate analysis. Hypertension and LA were identified by multivariate logistic regression analysis as independent risk factors for thrombosis (HR 3.8, 95% CI 1.3 to 11.1, p<0.05, and HR 3.9, 95% CI 1.1 to 14, p<0.05, respectively).ConclusionsHypertension and LA are independent risk factors for thrombosis in aPL carriers. Thromboprophylaxis in these subjects should probably be limited to high-risk situations.

Download Full-text

Final Analysis of a Randomized Comparison of ABVD Chemotherapy with a Strategy That Includes Radiation Therapy (RT) in Patients with Limited-Stage Hodgkin Lymphoma (HL): NCIC CTG/ECOG HD.6

Blood ◽

10.1182/blood.v118.21.590.590 ◽

2011 ◽

Vol 118 (21) ◽

pp. 590-590 ◽

Cited By ~ 1

Author(s):

Ralph M. Meyer ◽

Mary Gospodarowicz ◽

Joseph M. Connors ◽

Robert G Pearcey ◽

Woodrow A Wells ◽

...

Keyword(s):

High Risk ◽

Disease Progression ◽

Board Of Directors ◽

Final Analysis ◽

Primary Analysis ◽

Advisory Committees ◽

Limited Stage ◽

Risk Patients ◽

Single Modality

Abstract Abstract 590FN2 Background: The NCIC CTG / ECOG HD.6 trial is based on the hypothesis that for patients with limited-stage HL, treatment with single-modality ABVD provides comparable disease control, is associated with a reduced incidence of deaths due to late treatment effects and thus might improve long-term survival in comparison with treatment that includes extended-field RT. In this randomized controlled phase III trial, our primary objective was to compare the 12-yr overall survivals (OS) of limited-stage HL patients treated with ABVD alone with those receiving therapy that includes RT. Secondary outcomes include freedom from disease progression (FFDP), in which those dying prior to disease progression are censored, and event-free survival (EFS), in which the first of disease progression or death is considered an event. In 2005, we published 5-yr outcomes (median follow-up 4.2 yrs [Meyer, J Clin Oncol]). We now report results of the final analysis. Methods: Eligible patients had non-bulky clinical stage I-IIA HL; patients with subdiaphragmatic disease were eligible if disease was confined to the iliac, inguinal and/or femoral regions. Prior to randomization, patients were stratified into low and high-risk categories; low-risk patients had all of lymphocyte predominant or nodular sclerosis histology, age < 40 yrs, ESR < 50, and involvement of 3 or fewer disease-site regions; all others were high-risk. Patients randomized to therapy that includes RT received single-modality subtotal nodal irradiation (STNI) if low-risk and combined-modality ABVD (2 cycles) plus STNI if high-risk. All patients randomized to the experimental arm received single-modality ABVD (4 cycles); those not demonstrating a complete remission with restaging after 2 cycles received 6 cycles. Between March 1994 and April 2002, 405 patients were entered; 399 were eligible and included in the primary analysis (modified intent–to-treat [ITT]). The clinical cut-off date for follow-up was 2010/DEC/31 and the database was locked on 2011/JUL/15. All P-values are 2-sided. Results: The median duration of follow-up is 11.3 yrs. The OS was superior in patients randomized to ABVD (P=.04; HR=0.5; 12-yr estimates 94% vs. 87%). In comparison with patients randomized to therapy that includes RT, FFDP trended to being inferior in patients randomized to ABVD (P=.07; HR=1.82; 12-yr estimates 88% vs. 92%); no differences in EFS were detected (P=.5; HR=0.87; 12-yr estimates 86% vs. 80%). Sensitivity analyses included a true ITT evaluating all randomized patients and adding data obtained between the clinical cut-off and data-lock dates; results were robust and yielded similar findings. Causes of death in ABVD vs. RT-arm patients (N = 12 vs. 24) included HL or early treatment complication (6 vs. 4), second cancers (4 vs. 9), and other (2 vs. 11). Analysis of high-risk patients allocated to ABVD (N=137) vs. ABVD+STNI (N=139) showed similar respective results to the primary analysis: in comparison with those randomized to RT, OS was superior in the ABVD arm (12-yr estimates 92% vs. 81%; HR=.47; P=.04), FFDP was inferior (12-yr estimates 87% vs. 94%; HR=3.03; P=.01) and no differences in EFS were detected (12-yr estimates 84% vs. 78%; HR=.87; P=.6). Late-effects trended to being less frequent in ABVD patients, including second cancers (6.1% vs. 10.8%) and cardiac events (9.7% vs. 14.8%). Conclusions: We conclude that in patients with limited-stage HL, ABVD improves OS as compared with treatment that includes STNI, including combined modality therapy, because it is associated with fewer deaths from causes other than HL. The HD.6 trial hypothesis was thus confirmed. With respect to modern RT approaches, the implications of our results are: i) at 12 years, 88% of patients are disease-free and more than 90% are alive when initially treated with ABVD alone; ii) limitations exist in using FFDP as a proxy measure for OS when late treatment effects may occur; and, iii) when treatment strategies have competing risks, long-term follow-up provides crucial insights into the interpretations of best therapy. Disclosures: Connors: Seattle Genetics: Consultancy, Research Funding. Horning:Genentech: Employment, Equity Ownership. Crump:Millennium Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Ortho Johnson & Johnson: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees.

Download Full-text

Risk Factors for Severe Form of COVID-19 after Allogeneic Hematopoietic Stem Cell Transplantation: A SFGM-TC Multicentre Cohort Study

Blood ◽

10.1182/blood-2020-138411 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 34-34

Author(s):

Alienor Xhaard ◽

Constance Xhaard ◽

Maud D'Aveni ◽

Hélène Salvator ◽

Marie-Laure Chabi-Charvillat ◽

...

Keyword(s):

Risk Factors ◽

Multivariate Analysis ◽

Intensive Care ◽

Platelet Count ◽

Board Of Directors ◽

Research Funding ◽

Univariate Analysis ◽

Immunosuppressive Treatment ◽

Severe Form ◽

Advisory Committees

COVID-19 greatly affected Europe between March and May 2020. Initial reports suggest cancer and haematological malignancies as risk factors for severity and mortality, but the role of allogeneic stem cell transplantation (alloHSCT) remains unclear. The Société Francophone de Greffe de Moelle et Thérapie Cellulaire conducted a multicentre retrospective study of alloHSCT recipients diagnosed with COVID-19. We described the COVID-19 disease characteristics in this population and examined risk factors for severity and mortality. Data were collected retrospectively from the patients' charts and the ProMISe database. Diagnosis was retained only if a reverse transcription polymerase chain reaction assay test from a nose swab was positive for SARS-CoV-2. Patients were classified as severe if they were transferred to an intensive care unit (ICU) due to COVID-19 or died of COVID-19, and non-severe in other cases. Comparisons of characteristics were performed using student's t-tests and Mann-Whitney U tests for normally and abnormally distributed data, respectively, for continuous variables and χ2 or Fisher's exact tests, when appropriate for categorical variables. Risk factors associated with a severe form of COVID-19 were assessed using both univariate and multivariate logistic regressions. All analyses were performed using SAS version 9.4.6 (SAS Institute Inc., Cary, NC, USA. A two-tailed significance level p<0.05 was used. Fifty-four patients were diagnosed, including 21 with severe forms (intensive care transfer and/or death). Haematological characteristics did not vary between patients with severe or non-severe forms of COVID-19. Patients with a severe form of COVID-19 were more likely to be diagnosed earlier after alloHSCT (0.78 vs. 2.1 years, p=0.01), to have comorbidities (80.9% vs. 54.5%, p=0.05) and to receive immunosuppressive treatment (81% vs. 51.5%, p=0.03). Severe COVID-19 patients were more likely to have symptoms at COVID-19 diagnosis (100% vs. 81.8%, p=0.04), especially pneumonia and symptoms other than respiratory or digestive (asthenia, neurological symptoms, myalgia, dysgeusia, skin lesions and arthralgia), and to experience co-infection during the course of the disease (52.4% vs. 21.2%, p= 0.001). At COVID-19 diagnosis, patients with a non-severe form were more likely to have a higher platelet count (226 G/L vs. 98 G/L, p= 0.01), while other biological characteristics did not vary between the two cohorts. In univariate analysis, shorter time from transplant to COVID-19 (before 211 days, p=0.01), pneumonia (OR 12.21 [95% CI 2.43 - 61.46], p=0.002), symptoms other than pulmonary or digestive (OR 1.21 [95% CI 1.02 - 11.16], p=0.04), immunosuppressive treatment (OR 5.97 [95% CI 0.75 - 47.42], p=0.03) , co-infection (OR 5.84 [95% CI 1.65-20.63], p=0.006) and comorbidity (OR 3.54 [95% CI 0.98-12.83], p=0.05) were associated with severe COVID-19. The only biological parameter associated with severity was a lower platelet count <71G/L (OR 28.00 [95% CI 2.07-379.25]), p=0.008. In multivariate analysis, pneumonia and other symptoms retained a significant association with severe COVID-19. Thirteen patients died of COVID-19: in univariate analysis, risk factors for death from COVID-19 were similar to the risk factors for severe COVID-19 (i.e. shorter time from alloHSCT, p=0.03; pneumonia, p=0.01; co-infection during the course of COVID-19, p<0.01, and lower platelet count, p<0.01). In multivariate analysis, none of the above mentioned factors remained significantly associated with death from COVID-19. As SARS-CoV-2 continues to spread internationally, given the lack of vaccine or treatment, alloHSCT recipients should maintain a high level of awareness to avoid contamination. Figure Disclosures Dalle: Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria; Bellicum: Consultancy, Honoraria; AbbVie Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Orchard: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; bluebird bio: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi-Genzyme: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Medac: Consultancy, Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Rubio:MSD: Honoraria; Novartis: Honoraria; Neovii: Research Funding; Medac: Consultancy; Gilead: Honoraria.

Download Full-text

Identifying Ultra-High Risk Smoldering Multiple Myeloma

Blood ◽

10.1182/blood-2018-99-109709 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 3192-3192 ◽

Cited By ~ 1

Author(s):

Theresia Akhlaghi ◽

Even H Rustad ◽

Venkata D Yellapantula ◽

Neha Korde ◽

Sham Mailankody ◽

...

Keyword(s):

Risk Factors ◽

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Advisory Committees ◽

Ultra High Risk ◽

Risk Of Progression ◽

Equity Ownership ◽

M Spike ◽

Risk Biomarkers

Abstract Introduction Smoldering multiple myeloma (SMM) is an asymptomatic precursor stage to active multiple myeloma (MM), comprised by a heterogenous group of patients with varying rates of progression. While the overall yearly progression rate is 10% the first 5 years, some patients progress at a considerably higher rate. A study from the Mayo Clinic showed that in a subset of 21 patients defined by ≥60% monoclonal bone marrow plasma cells (BMPC), 95% progressed within 2 years. It was subsequently concluded by the International Myeloma Working Group (IMWG) that patients with biomarkers predictive of a 2-year progression rate at 80%, and a median time to progression at 12 months were at ultra-high risk of progression and should be considered to have MM requiring treatment despite being asymptomatic. In 2014, ultra-high risk biomarkers were incorporated in the definition of MM, including BMPC ≥60%, free light chain (FLC) ratio ≥100 and ≥2 focal lesions on magnetic resonance imaging (MRI). While the updated myeloma definition changed the diagnosis of some patients with ultra-high risk SMM to MM, there remain patients classified as SMM progressing at a very high rate. In the present study, we aimed at further identifying ultra-high risk biomarkers predictive of a high rate of progression to active MM. Methods Patients with SMM presenting to Memorial Sloan Kettering Cancer Center between the years 2000 and 2017 were identified and included in the study. Diagnosis of SMM and progression to MM requiring therapy was defined according to the IMWG criteria at the time of diagnosis. Baseline patient and disease characteristics were collected at date of diagnosis with SMM, including pathology reports, laboratory results and imaging data. Time to progression (TTP) was assessed using the Kaplan-Meier method with log-rank test for comparisons. Optimal cut-off values for continuous variables were assessed with receiver operating characteristics (ROC) curve. Patients who had not progressed by the end of study or were lost to follow up were censored at the date of last visit. Univariate Cox regression was used to estimate risk factors for TTP with hazard ratios (HR) and 95% confidence intervals (CI). Significant univariate risk factors were selected for multivariate Cox regression. Results A total of 444 patients were included in the study. Median follow-up time was 78 months. During the study period, 215 (48%) patients progressed to active MM, with a median TTP of 72 months. Cut-off points for BMPC, M-spike, and FLC ratio were determined with ROC curves to be 20%, 2 g/dL, and 18, respectively, for predicting high risk of progression. The following factors were associated with significantly increased risk of progression to active MM: BMPC >20%, M-spike >2g/dL, FLC ratio >18, immunoparesis with depression of 1 and 2 uninvolved immunoglobulins respectively, elevated lactate dehydrogenase, elevated beta-2-microglobulin, and low albumin (Table 1). In the multivariate model, BMPC >20% (HR 2.5, 95% CI 1.6-3.9), M-spike >2g/dL (HR 3.2, CI 1.9-5.5), FLC ratio >18 (HR 1.8, CI 1.1-3.0), albumin <3.5 g/dL (HR 3.9, CI 1.5-10.0), and immunoparesis with 2 uninvolved immunoglobulins (HR 2.3, CI 1.2-4.3), predicted a decreased TTP (Table 1). A total of 12 patients had 4 or 5 of the risk factors from the multivariate model, 8 of these did not meet the 2014 IMWG criteria for MM. These patients had a significantly shorter TTP than patients with less than 4 risk factors (median TTP 11 vs 74 months, p<0.0001, Figure 1). At 16 months, 82% of these patients had progressed, and within 2 years, 91% of the patients progressed. Only one patient remained progression free after 2 years, progressing at 31 months. Of patients with less than 4 risk factors, 19% progressed within the first 2 years. Conclusion In addition to baseline BMPC >20%, M-spike >2g/dL, FLC-ratio >18, we found that albumin <3.5g/dL and immunoparesis of both uninvolved immunoglobulins at the time of diagnosis with SMM were highly predictive of a decreased TTP to MM requiring therapy. These biomarkers are readily available and routinely assessed in clinic. Patients with 4 or 5 of these risk factors represent a new ultra-high risk group that progress to active disease within 2 years, further expanding on the definition of ultra-high risk SMM. In accordance with the rationale on ultra-high risk biomarkers as criteria established by the IMWG in 2014, such patients should be considered to have MM requiring therapy. Disclosures Korde: Amgen: Research Funding. Mailankody:Janssen: Research Funding; Takeda: Research Funding; Juno: Research Funding; Physician Education Resource: Honoraria. Lesokhin:Squibb: Consultancy, Honoraria; Serametrix, inc.: Patents & Royalties: Royalties; Takeda: Consultancy, Honoraria; Genentech: Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Janssen: Research Funding. Hassoun:Oncopeptides AB: Research Funding. Smith:Celgene: Consultancy, Patents & Royalties: CAR T cell therapies for MM, Research Funding. Shah:Amgen: Research Funding; Janssen: Research Funding. Mezzi:Amgen: Employment, Equity Ownership. Khurana:Amgen: Employment, Equity Ownership. Braunlin:Amgen: Employment. Werther:Amgen: Employment, Equity Ownership. Landgren:Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Consultancy; Merck: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Research Funding; Pfizer: Consultancy; Celgene: Consultancy, Research Funding.

Download Full-text

Estimated Glomerular Filtration Rate Is an Independent Predictor of Outcome in High-Risk Myelodysplastic Syndrome (MDS) and Low Blast Count Acute Myeloid Leukaemia (AML) Patients Treated with Azacytidine (AZA). a Retrospective Study from the MDS Registry of the Hellenic MDS Study Group

Blood ◽

10.1182/blood-2019-125806 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 5423-5423

Author(s):

Sotirios Papageorgiou ◽

Vasileios Papadopoulos ◽

Papoutselis Menelaos ◽

Anthi Bouhla ◽

Argiris Symeonidis ◽

...

Keyword(s):

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Cox Regression ◽

Performance Status ◽

Univariate Analysis ◽

Advisory Committees ◽

Landmark Analysis ◽

Kaplan Meier ◽

Blast Count

Introduction. Myelodysplastic Syndrome (MDS) is a disease of the elderly. Apart from IPSS, IPSS-R and WPSS, several indexes incorporating patient comorbidities (such as the MDS CI index- Della Porta et al Haematologica 2011, the HCT-CI index - Sorror et al Blood 2005) and performance status (the GFM index- Itzykson et al Blood 2011) have been used to predict outcome in MDS patients treated with azacytidine (AZA). We sought to investigate the effect of comorbidities on the outcome after AZA in a large group of patients from the MDS registry of the Hellenic MDS Study Group. Methods. The present study has been conducted as a retrospective observational cohort one. It included high-risk MDS and low blast count AML patients treated with AZA from 26 centers in Greece from 2007 to 2018. T-test and ANOVA were used to compare scale variables between two or more groups respectively. Univariate analysis of nominal and scale survival data was performed using Kaplan-Meier survival curves and Cox regression respectively. All variables achieving p<0.05 at univariate analysis were considered eligible for multivariate analysis; the latter was based on Cox regression method. Results. We analyzed 536 consecutive patients. Patient characteristics are depicted in Table 1. The median follow-up period was 27.5±4.8 months. 371 patients received at least four cycles of AZA and 165 patients received less than 4 cycles of AZA. Patients who received ≥4 cycles of AZA did not differ from those who received <4 cycles regarding gender, age, estimated Glomerular Filtration Rate (eGFR), cardiovascular, renal, and tumor comorbidities. Significantly higher IPSS-R and GFM scores at baseline were found in the group of patients receiving < 4 cycles of AZA compared to patients who received ≥ 4 cycles of AZA (p=0.042 and 0.05 respectively), while transfusion dependence at baseline occurred more often in patients who received ≥ 4 cycles of AZA (p=0.039). To assess the prognostic significance of risk factors on leukemia free survival (LFS) and overall survival (OS), univariate and multivariate analysis for the whole population was performed, as well as a landmark analysis for patients who were treated with at least 4 cycles of AZA. ECOG performance status and the presence of peripheral blasts were independent prognostic factors for LFS and OS for the whole cohort analysis while response to AZA and the presence of peripheral blasts were independent prognosticators for LFS and OS in the landmark analysis. In addition, prior low dose cytarabine was an independent adverse prognostic factor for LFS in the landmark analysis. As regards comorbidities, neither of MDS-CI, HCT-CI and GFM systems independently predicted LFS or OS in either analysis, but eGFR with a cut-off of 45 ml/min was a strong and independent prognosticator for LFS and OS in both the standard and the landmark analysis. Kaplan-Meier survival curves regarding LFS and OS at AZA initiation and landmark analysis after 4th cycle of AZA in relation with eGFR are shown in Figure 1. Conclusion. This is the first study to demonstrate the importance of eGFR at baseline as a prognostic marker for LFS and OS in high-risk MDS and low-blast AML patients treated with AZA. The role of comorbidities and PS needs to be further evaluated in this patient group. Disclosures Symeonidis: Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: 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, Research Funding; MSD: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Research Funding; Tekeda: Membership on an entity's Board of Directors or advisory committees, Research Funding. Vassilakopoulos:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; WinMedica: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene / GenesisPharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Panayiotidis:Bayer: Other: Support of clinical trial. Pappa:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Research Funding; Gilead: Honoraria, Research Funding; Novartis: Honoraria, Research Funding, Speakers Bureau; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene / GenesisPharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Kotsianidis:Celgene: Research Funding.

Download Full-text

Risk Factors Associated with Survival Outcome in Patients with Chronic Myeloid Leukaemia in Accelerated Phase Treated with Tyrosine Kinase Inhibitors

Blood ◽

10.1182/blood.v128.22.1222.1222 ◽

2016 ◽

Vol 128 (22) ◽

pp. 1222-1222

Author(s):

Kee Yon, Lionel See ◽

Kok Chong Bernard Yap ◽

Dong-Wook Kim ◽

Hein Than ◽

Yeow-Tee Goh

Keyword(s):

Risk Factors ◽

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Chronic Phase ◽

Progression Free Survival ◽

P Value ◽

Survival Curves ◽

Advisory Committees ◽

Kaplan Meier

Abstract Chronic Myeloid Leukaemia (CML) is a triphasic disease which typically presents in chronic phase with risk of progression to more aggressive phases in a certain proportion of patients. Accelerated Phase (AP), as described in the pre-Tyrosine Kinase Inhibitor (TKI) era by Kantarjian et al in 1988, is an intermediate stage with a poor median overall survival (OS) of ≤18 months without haematopoietic stem cell transplantation (HSCT). Since TKI therapy has revolutionized CML treatment, a significantly improved OS has been seen in most CML patients, including those in AP. Not all CML-AP patients require HSCT upfront nowadays and many are able to achieve major molecular remission (MMR) and favourable OS on TKI therapy. However, updated classifications of CML-AP by the World Health Organization (WHO) and European LeukemiaNet (ELN) do not reflect these significant advances in the TKI era. There is a need to re-evaluate the CML-AP classification that will have an impact on treatment decisions for CML-AP patients. In this study, we explored the association between various haematological parameters at diagnosis and the probabilities of OS and progression-free survival (PFS) of CML-AP patients on TKI therapy. Overall Survival (OS) and Progression-Free Survival (PFS) trends of 75 newly diagnosed CML-AP patients treated with frontline TKIs between 2000 to 2013 from Singapore General Hospital and Seoul St. Mary's Hospital in South Korea were retrospectively analysed with regards to demographic and haematological parameters, such as cell counts from serum and bone marrow at diagnosis, using cox proportional hazards analysis. Survival was also compared using log-rank test with Bonferroni corrections between CML-AP patients and 227 CML Chronic Phase (CML-CP) high-risk Sokal and 34 Blast Crisis (CML-BC) patients on TKI-based therapy. OS was defined as duration from diagnosis of CML-AP to death from any reason. PFS was defined as duration from disease diagnosis to the first occurrence of progression or death due to CML. As a whole, CML-AP patients treated with frontline TKI had survival that paralleled CML-CP high-risk Sokal patients (p-value = 0.694 for OS, p-value = 0.258 for PFS). Most of the death and progression occurred less than 3 years of starting TKI therapy (69.2% for OS, 84.6% for PFS). Multivariable analysis in CML-AP patients showed that male gender, bone marrow (BM) blasts ≥10% and clonal chromosomal abnormalities (CCAs) at diagnosis were associated with poor OS (Hazard Ratio (HR) 18.53, p-value = 0.013; HR 1.16, p-value = 0.010; HR 5.05, p-value = 0.044, respectively) and poor PFS (HR 12.96, p-value = 0.021; HR 1.17, p-value = 0.007; HR 8.84.05, p-value = 0.008, respectively). CML-AP patients with all 3 of these risk factors experienced the worst OS compared to those with 1 or zero risk factors (p-value <0.001). Patients with all 3 risk factors also had the poorest PFS compared to those with 2, 1 and zero risk factors (p-value = 0.022, <0.001, <0.001 respectively; figure 1). CML-AP Patients with 2 risk factors or less, had OS and PFS probabilities comparable to CML-CP patients with high-risk Sokal score (p-value = 0.082 for OS, p-value= 0.813 for PFS, figure 2 and 3 respectively). However, CML-AP patients with all 3 risk factors showed inferior OS and PFS probabilities similar to CML-BC patients (p-value = 0.799 for OS, p-value = 0.624 for PFS; figure 2 and 3 respectively). Our findings suggested that CML-AP was a heterogeneous group with varying survival probabilities on TKI therapy. Male gender, BM blasts ≥10% and CCAs at diagnosis were risk factors shown to be predictive of survival probabilities, and identified a high-risk sub-group among CML-AP patients with inferior OS and PFS rates similar to CML-BC patients. Aggressive chemotherapeutic strategies including HSCT should be warranted in these patients. However, TKI therapy alone with close molecular surveillance may be a reasonable option for optimally responding low-risk CML-AP patients who are not eligible for HSCT. Figure 1. Kaplan-Meier survival curves for PFS according to stratification of the number of risk factors present in CML-AP patients. Figure 1. Kaplan-Meier survival curves for PFS according to stratification of the number of risk factors present in CML-AP patients. Figure 2. Kaplan-Meier survival curves for OS according to phases of CML with AP patients separated by number of risk factors present. Figure 2. Kaplan-Meier survival curves for OS according to phases of CML with AP patients separated by number of risk factors present. Figure 3. Kaplan-Meier survival curves for PFS according to phases of CML with AP patients separated by number of risk factors present. Figure 3. Kaplan-Meier survival curves for PFS according to phases of CML with AP patients separated by number of risk factors present. Disclosures Kim: BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; ILYANG: Consultancy, Honoraria, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Goh:BMS: Honoraria; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Honoraria; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria; Takeda: Honoraria; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees.

Download Full-text