Kooperativer Bibliotheksverbund

In: Biology of Blood and Marrow Transplantation, Elsevier BV, Vol. 25, No. 3 ( 2019-03), p. S110-S111

Type of Medium: Online Resource

ISSN: 1083-8791

URL: Article

DOI: 10.1016/j.bbmt.2018.12.386

Language: English

Publisher: Elsevier BV

Publication Date: 2019

detail.hit.zdb_id: 3056525-X

detail.hit.zdb_id: 2057605-5

In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 29 ( 2021-10-10), p. 3261-3272

Abstract: Standard cytotoxic induction chemotherapy for acute myeloid leukemia (AML) results in prolonged neutropenia and risk of infection. Romyelocel-L is a universal, allogeneic myeloid progenitor cell product being studied to reduce infection during induction chemotherapy. PATIENTS AND METHODS One hundred sixty-three patients with de novo AML (age ≥ 55 years) receiving induction chemotherapy were randomly assigned on day 0 (d0), of whom 120 were evaluable. Subjects received either romyelocel-L infusion on d9 with granulocyte colony-stimulating factor (G-CSF) starting daily d14 (treatment group) or G-CSF daily alone on d14 (control) until absolute neutrophil count recovery to 500/µL. End points included days in febrile episode, microbiologically defined infections, clinically diagnosed infection, and days in hospital. RESULTS Mean days in febrile episode was shorter in the treatment arm from d15 through d28 (2.36 v 3.90; P = .02). Similarly, a trend toward decreased microbiologically defined infections and clinically diagnosed infection in the treatment arm was observed from d9 to d28 (35.6% v 47.5%; P = .09), reaching a statistically significant difference from d15 to d28 (6.8% v 27.9%; P = .002). Because of this, antibacterial or antifungal use for treatment of an infection was significantly less in the treatment group (d9-d28: 44.1% v 63.9%; P = .01). Significantly fewer patients in the treatment arm received empiric antifungals from d9 tod28 (42.4% v 63.9%; P = .02) and d15-d28 (42.4% v 62.3%; P = .02). Patients in the treatment arm also had 3.2 fewer hospital days compared with control (25.5 v 28.7; P = .001). Remission rates and days to absolute neutrophil count recovery were similar in the two groups. No patients in the romyelocel-L plus G-CSF group died because of infection compared with two patients in the control arm. No graft-versus-host disease was observed. CONCLUSION Subjects receiving romyelocel-L showed a decreased incidence of infections, antimicrobial use, and hospitalization, suggesting that romyelocel-L may provide a new option to reduce infections in patients with AML undergoing induction therapy.

Type of Medium: Online Resource

ISSN: 0732-183X , 1527-7755

URL: Article

DOI: 10.1200/JCO.20.01739

Language: English

Publisher: American Society of Clinical Oncology (ASCO)

Publication Date: 2021

detail.hit.zdb_id: 2005181-5

In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 15_suppl ( 2018-05-20), p. 7043-7043

Type of Medium: Online Resource

ISSN: 0732-183X , 1527-7755

URL: Article

DOI: 10.1200/JCO.2018.36.15_suppl.7043

Language: English

Publisher: American Society of Clinical Oncology (ASCO)

Publication Date: 2018

detail.hit.zdb_id: 2005181-5

In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e13618-e13618

Abstract: e13618 Background: Previous investigations have demonstrated an inconclusive relationship between lipid biomarkers and mortality after cancer. Methods: We used data from 2,279 postmenopausal women diagnosed with 13 obesity-related cancers, who were part of the Women’s Health Initiative (WHI) lipid biomarkers cohort, to evaluate the relationship between lipid levels measured at study entry prior to cancer diagnosis, and mortality after cancer. Baseline lipid measurements consisted of HDL-Cholesterol, LDL-Cholesterol, and non-HDL-Cholesterol with ranges of measurement listed in the table. Obesity-related cancers included: meningioma, thyroid, adenocarcinoma of esophagus, breast, multiple myeloma, liver, kidney, gallbladder, stomach, uterus, pancreas, ovaries, and colorectal. The age adjusted relationship between baseline lipids and all-cause mortality as well as mortality due to cancer were estimated using Cox proportional hazards models and Fine-Gray models, respectively. Results: The majority of women in the cohort had either desirable or acceptable lipid levels (86% HDL-C, 30% LDL-C and 61% non-HDL-C. Low vs. desirable HDL-C levels were associated with higher risk of all-cause mortality (hazard ratio (HR) 1.54, 95% confidence interval [CI] [1.48, 1.60] , p 〈 .001) and higher cancer mortality (sub-distribution hazard ratio (SHR)1.9, 95% CI [1.51, 2.3], p 〈 .001). High non-HDL-C vs desirable, was associated with higher all-cause mortality (HR 1.13, 95% CI [1.06, 1.21], p = .001) however no significant impact on cancer mortality (SHR 1.06, 95% CI [0.87, 1.30] , p = 0.563). LDL-C levels demonstrated a more complex relationship with mortality, nevertheless, very high LDL-C levels were associated with higher risk of all-cause mortality (HR 1.63, 95% CI,1.21-2.2, p = ,0.001) and cancer-specific mortality (HR 1.78, 95% CI 1.22-2.63, p = 0.003). Conclusions: Elevated LDL-C and lower HDL-C may be associated with a lower risk of all-cause and cancer specific mortality in women diagnosed with obesity related cancers in the WHI. Results of multivariable adjustment for important predictors of mortality including race/ethnicity, medication use and other socio-demographic and clinical factors will be presented. [Table: see text]

Type of Medium: Online Resource

ISSN: 0732-183X , 1527-7755

URL: Article

DOI: 10.1200/JCO.2020.38.15_suppl.e13618

Language: English

Publisher: American Society of Clinical Oncology (ASCO)

Publication Date: 2020

detail.hit.zdb_id: 2005181-5

In: Leukemia & Lymphoma, Informa UK Limited, Vol. 62, No. 2 ( 2021-01-28), p. 498-500

Type of Medium: Online Resource

ISSN: 1042-8194 , 1029-2403

URL: Article

DOI: 10.1080/10428194.2020.1832674

Language: English

Publisher: Informa UK Limited

Publication Date: 2021

detail.hit.zdb_id: 2030637-4

In: Blood Advances, American Society of Hematology, Vol. 8, No. 5 ( 2024-03-12), p. 1075-1083

Abstract: Acute myeloid leukemia (AML) is a heterogeneous malignancy with outcomes largely predicted by genetic abnormalities. Mutations of NPM1 are common in AML, occurring in ∼30% of cases, and generally considered a favorable risk factor. Mutations highly specific for secondary AML (sMut) have been shown to confer poor prognosis, but the overall impact of these mutations in the setting of favorable-risk AML defined by mutant NPM1 remains unclear. In this multicenter study of patients with AML (n = 233) with NPM1 mutation at diagnosis, we observed that patients with sMut had worse overall survival (OS) than those without sMut (15.3 vs 43.7 months; P = .002). Importantly, this finding persisted in the European LeukemiaNet (ELN) 2017–defined favorable risk subset (14.7 months vs not reached; P  & lt; .0001). Among patients who achieved NPM1 measurable residual disease (MRD) negativity, longer OS was observed in the entire cohort (P = .015) as well as in both the sMut subset (MRD negative: median OS (mOS) 73.9 months vs MRD positive: 12.3 months; P = .0170) and sMut ELN 2017–favorable subset (MRD negative: mOS 27.3 vs MRD positive: 10.5 months; P = .009). Co-occurrence of sMut and mutant NPM1 confers a poor prognosis in AML.

Type of Medium: Online Resource

ISSN: 2473-9529 , 2473-9537

URL: Article

DOI: 10.1182/bloodadvances.2023011173

Language: English

Publisher: American Society of Hematology

Publication Date: 2024

detail.hit.zdb_id: 2876449-3

In: British Journal of Cancer, Springer Science and Business Media LLC, Vol. 116, No. 3 ( 2017-01-31), p. e2-e2

Type of Medium: Online Resource

ISSN: 0007-0920 , 1532-1827

URL: Article

DOI: 10.1038/bjc.2016.396

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2017

detail.hit.zdb_id: 2002452-6

detail.hit.zdb_id: 80075-2

In: Science Advances, American Association for the Advancement of Science (AAAS), Vol. 8, No. 14 ( 2022-04-08)

Abstract: Genetic analyses support opposing bidirectional causality for CHIP and LTL toward possible therapeutic intervention for CAD.

Type of Medium: Online Resource

ISSN: 2375-2548

URL: Article

DOI: 10.1126/sciadv.abl6579

Language: English

Publisher: American Association for the Advancement of Science (AAAS)

Publication Date: 2022

detail.hit.zdb_id: 2810933-8

In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 3453-3453

Abstract: Background: Measurable residual disease (MRD) is an important biomarker in acute myeloid leukemia (AML). Among patients who achieve remission after standard chemotherapy, detection of MRD (MRD+) after two cycles of intensive chemotherapy, at the end of consolidation and before allogeneic stem cell transplantation (alloHSCT) is a strong prognostic factor for relapse and shorter overall survival (OS) (Short NJ, JAMA Oncol. 2020). The optimal time-points to asses MRD, and MRD cut-offs as well as whether eliminating of MRD due to further chemotherapy improves an outcome still remain open questions. PALG-AML1/2016 study aims to compare the safety and efficacy of two commonly used induction and salvage regimens in AML (NCT03257241). This is also the first international randomized trial in AML induction to prospectively evaluate the impact of MRD on overall survival, using multi-modality testing (flow-cytometry, FC; next-generation sequencing, NGS) of serial samples. Study Design: In this study, 582 adult patients with newly-diagnosed AML will be randomized to DA-90 or DAC induction. Patients with complete remission (CR) or CR with incomplete hematologic recovery (CRi) receive further post-remission therapy adjusted to predefined risk group. The serial samples for multimodal MRD evaluation are collected at D14 (MRD-1), at time of CR/CRi after single or two induction cycles (MRD-2), and after each consolidation cycle (MRD-3, -4, -5). Material and Methods. The aim of this preliminary analysis was to evaluate the prognostic value of bone marrow assessment at D14 both cytological and by FC (MRD-1) as well as the kinetics of MRD during post-remission treatment. Multivariable logistic regression models were developed with significant variables from univariate analyses, including MRD and blast count. The predictive power of the MRD level and blasts percentage at D14 was evaluated by receiver operating characteristics (ROC) and area under the curve (AUC) analysis to determine the ability of the biomarkers to accurately predict response to the induction treatment. Results: The study group consisted of 284 patients (mean age: 47.1 ± 10.9) recruited until the end of May 2021. MRD-1 by FC was reported in 225 patients. CR and CRi either after single or double induction were achieved in 175 (61.6%) and 48 (16.9%) patients, respectively leading to an overall CR/CRi rate 78.5%. In univariate analyses, the factors significantly associated with achieving CR/CRi were: ELN high-risk group (OR 0.12, 95% CI: 0.05-0.33, p & lt;0.0001), percentage of blasts at D14 (OR 0.95, 95% CI: 0.93-0.97, p & lt;0.0001) and MRD-1 level (OR 0.94, 95% CI: 0.92-0.96, p & lt;0.0001). A ROC analysis showed that AUC for the blasts count (0.71, 95%CI: 0.61-0.80) was significantly lower (p=0.0028) than AUC for MRD-1 levels 0.81 (95%CI: 0.74-0.89). Furthermore, two multivariate models, including ELN high-risk group and blasts or MRD biomarker, were evaluated. The model with blast percentage had an AUC of 0.83 (95% CI: 0.76-0.91). The model with MRD-1 level yielded higher AUC (p=0.0039) of 0.90 (95% CI: 0.84-0.95) and had a lower Akaike information criterion (116.9 vs. 127.1), indicating a better-fit model. In the analyzed group MRD-2 & lt;0.1% did not have a predictive value for OS. MRD-3 at the end of consolidation 1 was reported in 182 patients: MRD+ in 99 (54.4%) and MRD- in 83 (45.6%) patients. Results of MRD-4 at the end of consolidation 2 were available in 114 patients with 49 (43.0%) being MRD+ and 65 (57.0%) MRD-. Fifty-eight patients (35 MRD-2+ and 23 MRD-2-) were evaluated for MRD kinetics from the end of induction until the end of consolidation 3. Conversion rate from MRD- to MRD+ was 13% (n=3) and from MRD+ to MRD- 34%(n=12), respectively (p=0.038). Conclusions: Our preliminary results suggest that flow cytometric bone marrow assessment on D14 has a predictive value for CR/CRi achievement and a potential prognostic utility for overall survival. The kinetics of MRD during consolidation requires further studies to better evaluate its prognostic significance. References Short NJ, JAMA Oncol. 2020; Zhou S, Fu C, et al. Association of Measurable Residual Disease with Survival Outcomes in Patients with Acute Myeloid Leukemia: A Systematic Review and Meta-analysis. 6(12):1890-1899. Disclosures Wierzbowska: Celgene/BMS: Consultancy; Jazz: Research Funding; Novartis: Consultancy; Abbvie: Consultancy; Astellas: Consultancy; Janssen: Consultancy. Libura: Novartis: Consultancy, Research Funding. Giebel: Pfizer: Consultancy, Honoraria, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau. Czemerska: Novartis: Honoraria; Takeda: Honoraria. Sobas: Novartis: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Wróbel: Takeda: Honoraria, Speakers Bureau; BMS: Honoraria; Novartis: Honoraria, Speakers Bureau; BeiGene: Honoraria; Janssen: Honoraria, Speakers Bureau; Roche: Honoraria, Research Funding, Speakers Bureau. Patkowska: Bristol-Myers Squibb: Other: Travel fees; Angelini Pharma: Honoraria, Other: Travel fees; Jazz Pharmaceuticals: Other: Travel fees; Pfizer: Other: Travel fees; Astellas Pharma, Inc.: Consultancy, Other: Travel fees; Servier: Honoraria, Other: Travel fees; KCR US, Inc.: Consultancy; Novartis: Honoraria, Other: Travel fees; AMGEN: Honoraria. Desai: Kura Oncology: Consultancy; Astex: Research Funding; Agios: Consultancy; Takeda: Consultancy; Bristol Myers Squibb: Consultancy; Janssen R & D: Research Funding. Lee: Innate: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pin Therapeutics: 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; AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees. Ritchie: Astellas: Consultancy, Research Funding; Novartis: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Incyte: Consultancy, Honoraria, Speakers Bureau; ARIAD Pharmaceuticals: Ended employment in the past 24 months, Speakers Bureau; Jazz: Consultancy, Research Funding; Takeda: Consultancy, Honoraria; Celgene/BMS: Consultancy, Other: travel support, Speakers Bureau; NS Pharma: Research Funding; Abbvie: Consultancy, Honoraria; Protaganist: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding. Guzman: SeqRx: Consultancy; BridgeMedicines: Consultancy; Cellectis: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees. Roboz: Actinium: Consultancy; Novartis: Consultancy; Astellas: Consultancy; Amgen: Consultancy; Otsuka: Consultancy; Jazz: Consultancy; Agios: Consultancy; Jasper Therapeutics: Consultancy; AbbVie: Consultancy; Astex: Consultancy; Helsinn: Consultancy; Glaxo SmithKline: Consultancy; Daiichi Sankyo: Consultancy; Celgene: Consultancy; Blueprint Medicines: Consultancy; Bayer: Consultancy; MEI Pharma - IDMC Chair: Consultancy; Mesoblast: Consultancy; AstraZeneca: Consultancy; Bristol Myers Squibb: Consultancy; Janssen: Consultancy; Janssen: Research Funding; Pfizer: Consultancy; Roche/Genentech: Consultancy. OffLabel Disclosure: cladribine in the induction chemotherapy

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2021-153520

Language: English

Publisher: American Society of Hematology

Publication Date: 2021

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 2158-2158

Abstract: Background: Clonal cytopenia of undetermined significance (CCUS) is defined as persistent unexplained cytopenia with evidence of clonality [myeloid-associated somatic mutations (MTs) or cytogenetic [CG] abnormalities] but without definitive evidence of myeloid neoplasms (MN). The outcomes in CCUS patients (pts) are not well understood. Methods: The CCUS International Study database includes pts from 17 institutions who meet the criteria of CCUS and do not have other causes of cytopenia. Pts with MDS defining CG abnormalities were excluded. We collected baseline clinical data, laboratory parameters, CGs, molecular genetics, treatment, and disease course. Diverse gene panels from different institutions were collated to include a total of 70 myeloid-related somatic genes (30 genes in common). 2018 IWG MDS response criteria were used to determine response rate (RR). Disease progression (DP) is defined by progression to MN. The relationship between independent variables and DP and death was assessed using Cox proportional hazards models. Progression-free survival (PFS) and overall survival (OS) were estimated using Kaplan-Meier method. All statistical analysis was performed using SAS. Results: A total of 258 pts were captured by July 2021. The median age was 71 (IQR 63-77) years, and 66% were male. Among 73 (28%) pts with known malignancy history, 27 (37%) pts received previous chemo- or radiation therapy. 27 (10%) pts had non-malignant hematology comorbidities. 91 (35%) had cardiovascular disease, and 33 (13%) had inflammatory disease. (Table 1) The red blood cell and platelet transfusion-dependent rates were 7.3% and 2.3%, respectively. The median number of MTs was 2 (IQR 1-3), with 221 (86%) pts had ≥1 MT, of which 116 (53%) had ≥ 2 MTs. The most common 5 MTs were TET2 (n=78, 30%), SRSF2 (n=50, 19%), DNMT3A (n=47, 18%), ASXL1 (n=40, 16%), and U2AF1 (n=22, 9%) (Figure 1). The median VAF (mVAF) was 28% (IQR: 9.2%, 43%) with VAF & lt; 10% in 47 (18%) and VAF ≥40% in 78 (30.2%) of the MTs. mVAF of the all genes are shown in Figure 2. Among pts with CG abnormalities (n=62, 24%), trisomy 8 and -Y are the most common karyotypes (n=15 for each, 24%) (Table 2). Eighty one (31%) patients received various treatments for CCUS with modest RR, including growth factors (n=47, 18.2%, RR: 25.5%), supportive care (n=23, 9%, RR: 26%), immunoglobulin/immunosuppressive therapy (n=15, 6%, RR: 40%), and DNMTi (n=8, 3%, RR=13%). The median length of follow-up was 15.6 (IQR 6.9-30.6) months. 24 pts progressed to MN, 14 (58.3%) of which were MDS, 8 (33.3%) CMML, and 2 (8.3%) AML. The 2-year PFS was 86.1% (95% CI: 80-93%) with a median PFS of 16.3 (IQR: 3.7, 21) months. In the multivariable model, positive MT of KRAS (HR: 8.4, 95% CI: 1.9-36.9, p=0.005) and CBL (HR: 16.5, 95% CI: 3.7-73.8, p=0.003) were significantly associated with DP. In the functional pathway analysis, having at least 1 splicing factor MT was significantly associated with DP (HR: 2.6, 95% CI:1.2-5.9, p=0.02). TP53 was not significantly associated with DP (HR: 1.2, 95% CI: 0.2-8.7, p=0.88). Having & gt;1 MT (HR: 3.57, 95% CI: 1.19-10.7, p=0.02) compared to a single MT was significantly associated with DP (Figure 3). Over the follow-up period, 35 pts died. The 2-year OS was 81% (95% CI: 74.9-87.9%). In the multivariable model, MT of KRAS (HR: 6.1, 95% CI: 1.8-20, p=0.003), CBL (HR: 7.3, 95% CI: 1.7-31, p=0.007), and FLT3 (HR: 19.9, 95% CI: 2.5-155, p=0.004) were significantly associated with inferior survival. In the functional pathway analysis, MTs in activated signaling pathway were significantly associated with death (HR: 4.1, 95% CI: 1.8-9, p & lt;0.001). None of the pts with TP53 MT died. Having & gt;1 MT was not statistically significantly associated with higher risk of death (HR: 1.5, 95% CI: 0.7-3.0, p=0.28) (Figure 4). After adjustment for co-MT status and comorbidities, baseline Hb & lt;10 g/dL (HR: 3.7, 95% CI: 1.8-7.9, p & lt;0.001) was significantly associated with greater mortality. Conclusion: This large retrospective study summarizes the CCUS pts' characteristics, with different MT patterns and VAF. We confirmed the impact of having & gt;1 MT on DP, but not OS. Genes involved in activated signaling had a significant impact on both DP and OS. TP53 MT was not associated with worse outcome. Findings may be due to limited cases in the particular genes and different gene panels from multiple institutions. A longer follow-up is planned to further describe the predictors for outcome in this ongoing study. Figure 1 Figure 1. Disclosures Komrokji: Jazz: Consultancy, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; BMSCelgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Acceleron: Consultancy; PharmaEssentia: Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy; Taiho Oncology: Membership on an entity's Board of Directors or advisory committees; Geron: Consultancy. Zeidan: BioCryst: Other: Clinical Trial Committees; Kura: Consultancy, Other: Clinical Trial Committees; Ionis: Consultancy; Geron: Other: Clinical Trial Committees; Incyte: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Boehringer Ingelheim: Consultancy, Research Funding; Novartis: Consultancy, Other: Clinical Trial Committees, Travel support, Research Funding; Janssen: Consultancy; Cardiff Oncology: Consultancy, Other: Travel support, Research Funding; Loxo Oncology: Consultancy, Other: Clinical Trial Committees; Aprea: Consultancy, Research Funding; AstraZeneca: Consultancy; Agios: Consultancy; BeyondSpring: Consultancy; Gilead: Consultancy, Other: Clinical Trial Committees; Daiichi Sankyo: Consultancy; Jazz: Consultancy; Astex: Research Funding; BMS: Consultancy, Other: Clinical Trial Committees, Research Funding; Acceleron: Consultancy, Research Funding; Pfizer: Other: Travel support, Research Funding; Genentech: Consultancy; Epizyme: Consultancy; Jasper: Consultancy; Astellas: Consultancy; ADC Therapeutics: Research Funding; AbbVie: Consultancy, Other: Clinical Trial Committees, Research Funding. Madanat: Blue Print Pharmaceutical: Honoraria; Stem line pharmaceutical: Honoraria; Onc Live: Honoraria; Geron Pharmaceutical: Consultancy. Coombs: LOXO: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria; AstraZeneca: Honoraria; AbbVie: Honoraria; Genentech: Honoraria; MEI Pharma: Honoraria. Griffiths: Celgene/Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Takeda Oncology: Consultancy, Honoraria; Taiho Oncology: Consultancy, Honoraria; Apellis Pharmaceuticals: Research Funding; Novartis: Honoraria; Alexion Pharmaceuticals: Consultancy, Research Funding; Boston Biomedical: Consultancy; Astex Pharmaceuticals: Honoraria, Research Funding; Genentech: Research Funding; Abbvie: Consultancy, Honoraria. Lai: Astellas: Speakers Bureau; Jazz Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Speakers Bureau; Macrogenics: 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. Foran: trillium: Research Funding; actinium: Research Funding; kura: Research Funding; boehringer ingelheim: Research Funding; takeda: Research Funding; abbvie: Research Funding; aptose: Research Funding; pfizer: Honoraria; novartis: Honoraria; servier: Honoraria; bms: Honoraria; revolution medicine: Honoraria; OncLive: Honoraria; gamida: Honoraria; certara: Honoraria; sanofi aventis: Honoraria; syros: Honoraria; taiho: Honoraria; h3bioscience: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding. Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Desai: Astex: Research Funding; Janssen R & D: Research Funding; Kura Oncology: Consultancy; Takeda: Consultancy; Bristol Myers Squibb: Consultancy; Agios: Consultancy. Ades: ABBVIE: Honoraria; CELGENE/BMS: Honoraria; NOVARTIS: Honoraria; TAKEDA: Honoraria; JAZZ: Honoraria, Research Funding; CELGENE: Research Funding. Brunner: Novartis, Celgene, Takeda, AstraZeneca: Research Funding; Celgene, Forty Seven Inc, Jazz: Other: Advisory Board. Carraway: Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Other: Independent review committee; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Other: Independent review committee; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astex: Other: Independent review committee; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Prebet: BMS: Research Funding; BMS, Curios, Daichi: Consultancy. Patnaik: Kura Oncology: Research Funding; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees. Savona: Karyopharm: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Geron: Consultancy, Membership on an entity's Board of Directors or advisory committees; CTI: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS-Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; NOVARTIS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Ryvu: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sierra Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Taiho: Consultancy, Membership on an entity's Board of Directors or advisory committees; TG Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; ALX Oncology: Research Funding; Astex: Research Funding; Incyte: Research Funding. Al-Kali: Novartis: Research Funding; Astex: Other: Research support to institution.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2021-146254

Language: English

Publisher: American Society of Hematology

Publication Date: 2021

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7