Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
  • 1
    In: The Lancet Haematology, Elsevier BV, Vol. 10, No. 7 ( 2023-07), p. e495-e509
    Materialart: Online-Ressource
    ISSN: 2352-3026
    Sprache: Englisch
    Verlag: Elsevier BV
    Publikationsdatum: 2023
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    In: New England Journal of Medicine, Massachusetts Medical Society, Vol. 374, No. 23 ( 2016-06-09), p. 2209-2221
    Materialart: Online-Ressource
    ISSN: 0028-4793 , 1533-4406
    RVK:
    Sprache: Englisch
    Verlag: Massachusetts Medical Society
    Publikationsdatum: 2016
    ZDB Id: 1468837-2
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 85-85
    Kurzfassung: Over the past years it has emerged that acute myeloid leukemia (AML) is a disease often driven by multiple co-occurring genomic lesions. It is a great challenge to understand the logic of these mutational patterns and how the particular constellation of genomic risk factors affects a patient's outcome in conjunction with common clinical variables such as blood counts. Here we present a novel prognostic framework based genomic sequencing data of 111 cancer genes matched with detailed diagnostic, treatment and survival data from 1,540 patients with AML enrolled in three different trials run by the German-Austrian AML Study Group (AML-HD 98A, AML-HD 98B, and AMLSG 07-04). A systematic evaluation of risk modeling strategies reveals that much of the risk determining overall survival is captured in our comprehensive panel of genomic and prognostic clinical variables. Cox proportional hazards models with random effects achieved the highest cross-validated prognostic accuracy (Harrel's concordance C=0.72), better than models with variable selection (C=0.70 for AIC and BIC), and clearly superior to the ELN risk classification (C=0.63). It emerges that patient risk is the aggregate of many small and few large factors, such as previously established mutations in NPM1, CEBPA-/-, FLT3ITD and TP53; fusion genes generated by t(15;17), inv(16), and inv(3) rearrangements; and complex karyotype, del(5q) and trisomy 21. Multiple risk factors act mostly additively, with the exception of gene-gene interaction terms, including NPM1:FLT3ITD:DNMT3A (n=93; HR=1.50; P 〈 0.03; Wald test, Benjamini-Yekutieli adjusted) that indicate the presence of epistatic effects on outcome. We found substantial heterogeneity in the presence of risk factors with almost unique constellations for each patient. We observed that approximately 2/3 of the predicted inter-patient risk variation was related to genomic factors (balanced rearrangements, copy number changes and point mutations), the remainder being mostly attributed to diagnostic blood counts, demographic data and treatment. Hence a large share, but not all, prognostic information seems to be determined by genomic factors. Using multistage models with random effects we have assessed differential effects of prognostic variables at different stages of therapy. These models yield detailed predictions about the probability of being alive in induction, first complete remission and after relapse, as well as the mortality during each of the three stages. Importantly, our model computes how these probabilities change depending on a patient's constellation of risk factors. The resulting personalized predictions provide a quantitative risk assessment and allow evaluating the effect of treatment decisions such as allogeneic stem cell transplant versus standard chemotherapy in first complete remission. Our analysis shows that detailed and accurate predictions can be made based on knowledge banks of genomic and clinical data. As a proof of principle we have implemented our prediction framework into a web portal to explore risk predictions. Our method is able to impute missing variables and quantify the uncertainty due to missingness and finite training data. Power calculations show that cohorts of 10,000 patients will be needed for precise clinical decision support. Disclosures McDermott: 14M Genomics: Other: co-founder, stock-holder and consultant. Stratton:14M Genomics: Other: co-founder, stock-holder and consultant. Schlenk:Janssen: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Arog: Honoraria, Research Funding; Teva: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Boehringer-Ingelheim: Honoraria. Campbell:14M genomics: Other: Co-founder and consultant.
    Materialart: Online-Ressource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Hematology
    Publikationsdatum: 2015
    ZDB Id: 1468538-3
    ZDB Id: 80069-7
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    In: Blood, American Society of Hematology, Vol. 122, No. 21 ( 2013-11-15), p. 830-830
    Kurzfassung: Background Cyto- and molecular-genetic abnormalities evaluated at initial diagnosis are the most powerful prognostic and in part also predictive markers in acute myeloid leukemia (AML) with regard to achievement of complete remission (CR) and survival. Nonetheless, after relapse the prognostic impact of clinical characteristics and genetic abnormalities assessed at initial diagnosis with respect to achievement of subsequent CR and survival are less clear. Aims To evaluate the probability of CR achievement and survival in relapsed AML patients in correlation to clinical characteristics and genetic abnormalities assessed at initial diagnosis as well as treatment strategy. Methods The study includes intensively treated adults with newly diagnosed AML enrolled in 5 prospective AMLSG treatment trials between 1993 and 2009. Patients with acute promyelocytic leukemia were excluded. All patients received intensive therapy, including allogeneic (allo) and autologous (auto) hematopoietic stem cell transplantation (HSCT) during first line therapy. Results A total of 3218 patients (median age, 54 years; range, 16-85 years) were enrolled in 5 AMLSG treatment trials. Of these, 1307 (41%) patients (16-60 years, n=958; ≥61 years, n=349) experienced relapse, n=194 after alloHSCT, n=75 after autoHSCT and 1038 after chemotherapy. Salvage strategies were as follows: (i) n=907, intensive chemotherapy (INT) followed in n=450 by HSCT (matched related donor [MRD], n=114; matched unrelated donor [MUD] , n=303; cord blood graft [CB], n=3; haplo-identical family donor [HID] , n=18; autoHSCT, n=12); (ii) n=100, direct alloHSCT (MRD, n=31; MUD, n=63; HID, n=4) or n=2 autoHSCT (TPL); (iii) n=29, donor lymphocyte infusions (DLI) in patients after alloHSCT in CR1; (iv) n=60, demethylating agents/low-dose cytarabine (NON-INT); (v) n=24, experimental treatment within phase I/II studies (EXP); (vi) all other patients (n=187) received best supportive care (BSC). After salvage therapy CR rate was 38% and after the different treatment approaches as follows: INT, 37%; TPL, 73%; DLI, 38%; NON-INT, 8%; EXP, 29%. After failure to respond to INT, n=159 additional patients achieved a CR2 after HSCT resulting in an overall CR2 rate of 50%. A logistic regression model revealed CEBPA double-mutant (dm) (OR, 6.42; p=0.0001), core-binding factor (CBF) AML (OR, 2.87; p=0.0002), a direct HSCT strategy (OR, 3.32; p=0.0002), and mutated NPM1 (OR, 1.59; p=0.02) as favorable (only if response after HSCT was included) and FLT3-ITD (OR, 0.66; p=0.04), age (difference of 10 years; OR, 0.82; p=0.003), NON-INT (OR, 0.08; p=0.0001) and in trend a previous alloHSCT in CR1 (OR, 0.65; p=0.08) as unfavorable independent parameters for achievement of CR2. Median follow-up for survival after relapse was 4.3 years and survival after 4 years was 22% (95%-CI, 19-25%). Patients proceeding to alloHSCT after first relapse (n=536; MRD, n=145; MUD, n=366; HID, n=22; CB, n=3) had a 4-year survival of 36% (95%-CI, 32-41%) and those not proceeding to alloHSCT of 8% (95%-CI, 6-11%). In univariable analyses the combined genotype mutated NPM1 in the absence of FLT3-ITD (p=0.66) was not associated with a favorable outcome. A multivariable regression model including alloHSCT as a time-dependent co-variable revealed alloHSCT performed after relapse (HR, 0.34; p 〈 0.0001), CEBPAdm (HR, 0.48; p=0.002), CBF- AML (HR, 0.50; p 〈 0.0003) and DLI in relapsed patients with a previous alloHSCT performed in CR1 (HR, 0.40; p=0.002) as significant favorable factors, whereas FLT3-ITD (HR, 1.35; p=0.005) and in trend NON-INT (OR, 1.40; p=0.06) were unfavorable factors. Due to collinearity of FLT3-ITD with duration of first remission (cut point at 1 yr), the latter was not included into the multivariable models. Of 561 patients achieving CR2, 252 experienced 2nd relapse (REL2) and 114 died in CR2. Most REL2 patients (n=117) received INT whereas n=54 received BSC only. Allo- and autoHSCT were performed in 55 and 3 REL2 patients, respectively. CR3 rate in patients who received treatment was overall 40% including response to HSCT of 58%. Conclusions Patients with relapsed AML have an overall probability of less than 50% to achieve a CR2 and CR3 after intensive salvage chemotherapy; the only exceptions are AML with CEBPAdm and CBF-AML. AlloHSCT either as direct treatment of relapse or as salvage therapy after failure of intensive chemotherapy may overcome chemo-resistance. Disclosures: Schlenk: Celgene: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Chugai: Research Funding; Amgen: Research Funding; Novartis: Research Funding; Ambit: Honoraria. Off Label Use: Pomalidomide in Myelofibrosis. Kindler:Novartis: Membership on an entity’s Board of Directors or advisory committees.
    Materialart: Online-Ressource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Hematology
    Publikationsdatum: 2013
    ZDB Id: 1468538-3
    ZDB Id: 80069-7
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    In: Nature Genetics, Springer Science and Business Media LLC, Vol. 49, No. 3 ( 2017-3), p. 332-340
    Materialart: Online-Ressource
    ISSN: 1061-4036 , 1546-1718
    RVK:
    Sprache: Englisch
    Verlag: Springer Science and Business Media LLC
    Publikationsdatum: 2017
    ZDB Id: 1494946-5
    SSG: 12
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 6
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 449-449
    Kurzfassung: Background: Internal tandem duplications (ITD) in the receptor tyrosine kinase FLT3 occur in roughly 25% of younger adult patients (pts) with acute myeloid leukemia (AML). The multi-targeted kinase inhibitor midostaurin combined with intensive chemotherapy has shown activity against AML with FLT3 mutations. However, toxicity and potential drug-drug interactions with strong CYP3A4 inhibitors such as posaconazole may necessitate dose reduction. Aims: To evaluate the impact of age and midostaurin dose-adaptation after intensive induction chemotherapy on response and outcome in AML with FLT3-ITD within the AMLSG 16-10 trial (NCT01477606). Methods: The study included adult pts (age 18-70 years (yrs)) with newly diagnosed FLT3-ITD positive AML enrolled in the ongoing single-arm phase-II AMLSG 16-10 trial. Pts with acute promyelocytic leukemia were not eligible. The presence of FLT3-ITD was analyzed within our diagnostic study AMLSG-BiO (NCT01252485) by Genescan-based DNA fragment-length analysis. Induction therapy consisted of daunorubicin (60 mg/m², d1-3) and cytarabine (200 mg/m², continuously, d1-7); midostaurin 50 mg bid was applied from day 8 until 48h before start of the next treatment cycle. A second cycle was allowed in case of partial remission (PR). For consolidation therapy, pts proceeded to allogeneic hematopoietic-cell transplantation (HCT) as first priority; if alloHCT was not feasible, pts received three cycles of age-adapted high-dose cytarabine (HDAC) in combination with midostaurin starting on day 6. In all pts one-year maintenance therapy with midostaurin was intended. The first patient entered the study in June 2012 and in April 2014, after recruitment of n=147 pts, the study was amended including a sample size increase to 284 pts and a dose reduction to 12.5% of the initial dose of midostaurin in case of co-medication with strong CYP3A4 inhibitors (e.g. posaconazole). This report focuses on age and the comparison between the first (n=147) and the second cohort (n=137) of the study in terms midostaurin dose-adaptation. Results: Patient characteristics were as follows: median age 54 yrs (range, 18-70; younger, 68% 〈 60 yrs; older, 32% ≥ 60 yrs); median white cell count 44.7G/l (range 1.1-1543 G/l); karyotype, n=161 normal, n=16 high-risk according to ELN recommendations; mutated NPM1 n=174 (59%). Data on response to first induction therapy were available in 277 pts; complete remission (CR) including CR with incomplete hematological recovery (CRi) 60%, PR 20%, refractory disease (RD) 15%, and death 5%. A second induction cycle was given in 54 pts. Overall response (CR/CRi) after induction therapy was 76% (76%, younger; 76%, older) and death 6% (4%, younger; 10% older). The dose of midostaurin during first induction therapy was reduced in 53% and 71% of patients in cohort-1 and cohort-2, respectively. Reasons for dose reduction were in 58% and 49% toxicity, and in 9% and 23% co-medication in cohort-1 and cohort-2, respectively. No difference in response to induction therapy was noted between cohorts (p=0.81). Median follow-up was 18 months. Overall 146 pts received an alloHCT, 128 in first CR (n=94 younger, n=34 older; n=92 from a matched unrelated and n=36 from a matched related donor). In pts receiving an alloHCT within the protocol in median two chemotherapy cycles were applied before transplant (range 1-4). The cumulative incidence of relapse (CIR) and death after transplant were 13% (SE 3.2%) and 16% (SE 3.5%) without differences (p=0.97, p=0.41, respectively) between younger and older patients. So far maintenance therapy was started in 86 pts, 61 pts after alloHCT and 25 pts after HDAC. Fifty-five adverse events 3°/4° were reported being attributed to midostaurin; cytopenias after alloHCT were the most frequent (29%). CIR in patients starting maintenance therapy was 20% one year after start of maintenance without difference between alloHCT and HiDAC (p=0.99). In addition, no difference in CIR was identified in patients after consolidation with alloHCT or HDAC according to dose reduction of midostaurin during first induction therapy (p=0.43, p=0.98, respectively). Median overall survival was 25 months (younger, 26 months; older 23 months; p=0.15). Conclusions: The addition of midostaurin to intensive induction therapy and as maintenance after alloHCT or HDAC is feasible and effective without an impact of age and dose adaptation on outcome. Disclosures Schlenk: Amgen: Research Funding; Pfizer: Honoraria, Research Funding. Fiedler:GSO: Other: Travel; Pfizer: Research Funding; Kolltan: Research Funding; Amgen: Consultancy, Other: Travel, Patents & Royalties, Research Funding; Gilead: Other: Travel; Ariad/Incyte: Consultancy; Novartis: Consultancy; Teva: Other: Travel. Lübbert:Celgene: Other: Travel Funding; Janssen-Cilag: Other: Travel Funding, Research Funding; Ratiopharm: Other: Study drug valproic acid. Greil:Janssen-Cilag: Honoraria; Genentech: Honoraria, Research Funding; Mundipharma: Honoraria, Research Funding; Merck: Honoraria; AstraZeneca: Honoraria; Boehringer-Ingelheim: Honoraria; GSK: Research Funding; Ratiopharm: Research Funding; Cephalon: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Novartis: Honoraria; Bristol-Myers-Squibb: Consultancy, Honoraria; Pfizer: Honoraria, Research Funding; Roche: Honoraria, Research Funding; Sanofi Aventis: Honoraria; Eisai: Honoraria; Amgen: Honoraria, Research Funding. Greiner:BMS: Research Funding. Paschka:ASTEX Pharmaceuticals: Consultancy; Novartis: Consultancy; Medupdate GmbH: Honoraria; Bristol-Myers Squibb: Honoraria; Pfizer Pharma GmbH: Honoraria; Celgene: Honoraria. Heuser:Bayer Pharma AG: Research Funding; Karyopharm Therapeutics Inc: Research Funding; Novartis: Consultancy, Research Funding; Celgene: Honoraria; Pfizer: Research Funding; BerGenBio: Research Funding; Tetralogic: Research Funding.
    Materialart: Online-Ressource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Hematology
    Publikationsdatum: 2016
    ZDB Id: 1468538-3
    ZDB Id: 80069-7
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 7
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 803-803
    Kurzfassung: For many years, clinical management of Acute Myeloid Leukemia (AML) has relied on patient classification into molecular groups, mostly defined by fusion genes. Recent insights of AML genomes have uncovered extended heterogeneity implicating 〉 100 recurrently mutated genes, many of which are infrequently mutated. In each patient, multiple mutations are present defining unique genetic and clonal constellations. This genetic diversity significantly complicates the translation of molecular findings into routine clinical practice. We present our full analysis on the genomic characterization of 1540 AML patients enrolled in clinical trials of the German-Austrian AML Study Group. Together with cytogenetic profiling we map 5234 pathogenic lesions across 77 genomic loci. Amongst these, we characterise a cluster of hotspot mutations in the MYC oncogene. Overall we find ≥1 driver mutation in 96% patients, and ≥2 in 85%. The earliest mutations in AML evolution implicate genes mutated in age-related clonal hematopoiesis (DNMT3A, ASXL1, TET2) or fusion genes, followed by ordered acquisition of mutations in transcription, chromatin or splicing regulators. RTK/RAS mutations frequently represent late events with evidence of parallel evolution in 14% of AML. We formally model genomic structure and find that AML is subdivided in at least 11 molecular and clinically distinct classes defined by t(15;17), t(8;21), inv(16)/t(16;16), t(6;9), inv(3)/t(3;3), AML defined by MLL- rearrangements, CEBPAbi-allelic, NPM1, TP53/complex karyotype, AML with chromatin/splicing factor mutations, and provisionally AML with 〈 3 aneuploidies. ~87% of patients with acquired mutations are molecularly classified. Each class is defined by a distinct subset of genetic lesions, with evidence of preferred order in mutation acquisition, thus guiding future development of minimal residual disease and combination therapy protocols. 19% (n=291) of patients were classified in the chromatin/spliceosome class. In this group, mutations in splicing factor genes and/or RUNX1 cluster with mutations in chromatin modifiers (ASXL1, EZH2, STAG2, MLLPTD). Patients in this group mostly represented Intermediate risk AML (ELN recommendations), were older, with lower WBC/blasts, inferior response rates to induction chemotherapy, poor long-term clinical outlook, higher rates of secondary AML and MDS-related morphology. Compared to classes defined by fusion genes, classes defined by genes are considerably more complex. We explore whether variability of clinical response (complete remission, relapse, relapse related mortality and overall survival) is at least in part accounted for by the extended genomic landscape. We find that the recurrent secondary and tertiary genotypes (often implicating rare genes/mutation-hotspots) markedly redefine clinical response and long-term curability beyond those predicted by single classifier lesions. To this effect, we apply global statistical models to calculate the contributions of genomic variables to overall risk whilst taking into account demographic, diagnostic and treatment factors. We find that gene-by-gene interactions are associated with additive as well as epistatic effects to patients risk, and contribute ~10% of relapse related mortality risk. We build prognostication models tailored to individual patients molecular, demographic and clinical variables at time of diagnosis and deliver more accurate risk predictions. For example, on the basis of the composite genomic and clinical profiles subsets of patients categorized as Favorable/Intermediate risk AML show risk estimates associated with adverse prognosis. Such patients are evaluated for therapeutic protocol selection tailored to higher risk groups (transplant at first CR instead of relapse), and ascertained for overall survival benefit. We apply same approaches for high-risk patients associated with favorable profiles and collectively deliver a paradigm of personally tailored risk assessment coupled with appropriate selection of therapeutic intervention. Taken together comprehensive genome profiling shows that genetic heterogeneity in AML is not random. Characterization of the extended genetic framework beyond single classifier lesions, informs future strategies for personalized prognostication, minimal residual disease monitoring and combination therapy protocols. Disclosures Schlenk: Janssen: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Research Funding; Boehringer-Ingelheim: Honoraria; Novartis: Honoraria, Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Arog: Honoraria, Research Funding; Teva: Honoraria, Research Funding. Campbell:14M genomics: Other: Co-founder and consultant.
    Materialart: Online-Ressource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Hematology
    Publikationsdatum: 2015
    ZDB Id: 1468538-3
    ZDB Id: 80069-7
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 8
    In: Blood, American Society of Hematology, Vol. 101, No. 1 ( 2003-01-01), p. 375-375
    Materialart: Online-Ressource
    ISSN: 1528-0020 , 0006-4971
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Hematology
    Publikationsdatum: 2003
    ZDB Id: 1468538-3
    ZDB Id: 80069-7
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 9
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 1254-1254
    Kurzfassung: Background:Despite recent advances in identifying novel molecular targets in AML patients, intensive chemotherapy followed by allogeneic hematopoietic stem cell transplantation (HSCT) still remains a cornerstone of AML therapy. However, outcome of HSCT depends on the availability of a donor and the donor type. Prior studies comparing HSCT from HLA-matched related donors (MRD) with matched unrelated donors (MUD), demonstrated conflicting results with regards to outcome. These conflicting results might be attributed to the genetic heterogeneity of AML. Aims:To analyze outcome with respect to donor type of 952 AML patients who received HSCT in first complete remission (CR) and were treated within prospective AMLSG trials. Methods:Within the AMLSG trials conducted between 1993 and 2013, of a total of 4991 patients (excluding acute promyelocytic leukemia), 3408 (2744 younger ( 〈 61 years old), 664 older (≥61 years old)) patients achieved a first CR after intensive double induction therapy. Of these, 867 (31%) younger and 85 (13%) older patients received HSCT in first CR. Distributions of donor types were 511 matched related donors (MRD), 435 matched unrelated donors (MUD) and 6 haplo-identical donors. The latter were grouped together with MUD. Results:Distributions of donor type over time are illustrated in table 1 indicating two clear trends with increasing numbers of MUD transplants and increasing median age in MUD- and MRD-transplants in recent years. There was no significant difference in overall survival, cumulative incidence of relapse (CIR) and death (CID) all estimated at 4 years according to the three time periods for MRD (p=0.56, p=0.15, p=0.10, respectively) and MUD (p=0.27, p=0.20, p=0.88, respectively). Table 1 Time period 1993-2002 2003-2007 2008-2013 Total no. 1036 1102 1270 MRD  No. 186 (18%) 182 (17%) 143 (11%)  Median age 42.7yrs 46.0yrs 51yrs  4-yr-OS (95%-CI) 59% (53-67) 66% (59-73) 61% (53-72)  4-yr-CIR (SE) 21% (3%) 25% (3%) 29% (4%)  4-yr-CID (SE) 25% (3%) 15% (3%) 18% (3%) MUD  No. 42 (4%) 131 (12%) 268 (21%)  Median age 41.1yrs 47.9yrs 50.6yrs  4-yr-OS (95%-CI) 52% (39-70) 46% (38-58) 54% (47-61)  4-yr-CIR (SE) 21% (3%) 25% (3%) 29% (4%)  4-yr-CID (SE) 25% (3%) 15% (3%) 18% (3%) Table 2 ELN risk category low inter-1 inter-2 high Total no. 867 711 433 318 MRD  No. 78 (9%) 122 (17%) 66 (15%) 57 (18%)  4-yr-OS (95%-CI) 84% (76-93) 50% (51-69) 53% (41-67) 57% (44-72)  4-yr-CIR (SE) 7% (3%) 24% (4%) 35% (6%) 49% (7%)  4-yr-CID (SE) 13% (4%) 23% (4%) 23% (6%) 12% (4%) MUD  No. 21 (2%) 139 (20%) 76 (18%) 109 (36%) 4-yr-OS (95%-CI) 69% (52-93) 58 (49-68) 52% (41 67) 35% (26-46)  4-yr-CIR (SE) 0% 28% (4%) 32% (6%) 44% (5%)  4-yr-CID (SE) 31% (11%) 20% (4%) 17% (5%) 28% (4%) There were no differences in stratified survival analyses for time period between MRD and MUD-transplants in the low, intermediate-1 and intermediate-2 risk groups with respect to OS (p=0.12, p=0.86, p=0.98), CIR (p=0.28, p=0.54, p=0.94) and CID (p=0.09, p=0.57, p=0.39). In the high risk group, OS was significantly superior after MRD-transplant compared to MUD-transplant (p=0.02), but without significant differences in CIR (p=0.74) and CID (p=0.08). Equivalent efficacy could also be shown in a subgroup analyses focusing on all FLT3-ITD positive patients (MRD, n=103, MRD, n=147) for OS (p=0.71), CIR (p=0.53) and CID (p=0.69). Conclusions: Our results based on prospective interventional studies support the perception that MUD-transplants are equal to MRD-transplants in patients with AML in first CR. Only within the ELN high risk group, patients with MRD-transplants showed superior OS but without differences in CIR and CID as compared to MUD-transplants. Disclosures Kobbe: Celgene: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Medac: Other; Astellas: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Neovii: Other. Götze:Celgene Corp, Novartis Pharma: Honoraria. Fiedler:TEVA: Travel reimbursement for meeting attendance Other. Petzer:Celgene: Honoraria, unrestricted grant Other. Lübbert:Cephalon / TEVA: Travel support Other. Greil:Bristol-Myers-Squibb: Consultancy, Honoraria; Cephalon: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Research Funding; Amgen: Honoraria, Research Funding; Eisai: Honoraria; Mundipharma: Honoraria, Research Funding; Merck: Honoraria; Janssen-Cilag: Honoraria; Genentech: Honoraria, Research Funding; Novartis: Honoraria; Astra-Zeneca: Honoraria; Boehringer-Ingelheim: Honoraria; Pfizer: Honoraria, Research Funding; Roche: Honoraria; Sanofi Aventis: Honoraria; GSK: Research Funding; Ratiopharm: Research Funding. Döhner:Novartis: Research Funding. Döhner:TEVA: Research Funding.
    Materialart: Online-Ressource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Hematology
    Publikationsdatum: 2014
    ZDB Id: 1468538-3
    ZDB Id: 80069-7
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 10
    In: Blood, American Society of Hematology, Vol. 122, No. 21 ( 2013-11-15), p. 1332-1332
    Kurzfassung: Based on their association with certain biological and clinical features as well as their prognostic significance, mutations in the CCAAT/enhancer-binding protein-alpha (CEBPA) gene have been included as a provisional entity into the 2008 World Health Organization (WHO) classification of myeloid neoplasms. CEBPA mutations (CEBPAmut) are mainly found in acute myeloid leukemia (AML) with normal cytogenetics, and approximately 60% of the mutated patients (pts) carry biallelic mutations. Several studies showed that in particular pts with double mutant CEBPA (CEBPAdm) have a favorable outcome compared to all others. Recently, mutations in the transcription factor GATA2 were identified as genetic lesions potentially cooperating with CEBPAdm. Both, CEBPA and GATA2 are involved in the control of proliferation and differentiation of myeloid progenitors, and mutations in both genes are discussed as pre-disposing events in myeloid leukemia. Based on functional studies there is an important interplay between the two genes, e.g. through the formation of direct protein complexes. Finally, preliminary data suggest that the genotype CEBPAdm/GATA2 mutated (GATA2mut) is associated with a favorable outcome in AML pts. Aims To evaluate the frequency and the clinical impact of GATA2mut within a large cohort of CEBPAmut AML pts and to further analyze the CEBPAmut/GATA2mutgenotype within the context of other genetic alterations. Methods In total 202 AML pts (age 18 to 78 years) with CEBPA single mutations (n=89) or CEBPAdm (n=113) were analyzed for the presence of GATA2mut. All pts were enrolled on one of 6 AMLSG treatment trials applying intensive therapy [AMLHD93 n=15; AMLHD98A (NCT00146120) n=53; AMLHD98B n=13; AMLSG 07-04 (NCT00151242) n=74; AMLSG 06-04 (NCT00151255) n=25 and AMLSG 12-09 (NCT01180322) n=22]. GATA2 mutation screening was performed using a DNA-based PCR-assay covering exons 2 to 6 followed by Sanger sequencing. Results GATA2 mut were restricted to the cytogenetic intermediate-risk group; in total we detected 42 GATA2mut in 40 of the 202 pts (20.7%); 36 pts had CEBPAdm (36/113, 31.8%), 4 were CEBPA single mutated (4/89, 4.4%). All mutations were heterozygous, with 2 pts having two mutations (in exon 4 and 5, respectively). 31 (73.8%) of the 42 mutations were located in zinc-finger 1 (ZF1, exon 4) and 11 (26.1%) in ZF2 (exon 5). GATA2 sequence alterations included 39 missense and 3 frameshift mutations. The median follow-up of the 202 pts was 64.2 months (95%-CI: 60.1 – 75.1). First, we evaluated the clinical impact of GATA2mut in the whole cohort. Here, we found no differences in overall (OS), event-free (EFS), and relapse-free (RFS) survival as well as for the cumulative incidence of relapse (CIR) between GATA2mut and GATA2 wildtype pts. Next, the effects of GATA2mut in CEBPAdm pts (n=113) were analyzed without seeing any differences for the clinical endpoints OS, EFS, RFS and CIR. The same was also true when we investigated the impact of GATA2mut with respect to their location in the ZF domains; there were no differences between pts with ZF1 (n=29) and ZF2 (n=9) mutations, respectively. Finally, we evaluated the possible relevance of GATA2mut in the subgroup of CEBPAdm pts 〈 60 years with intermediate-risk cytogenetics (n=94); but again GATA2mut did not impact the endpoints OS, EFS, RFS and CIR. In contrast to recently published data, we also detected GATA2mut in a small number of pts with CEBPA single mutations (n=4); however the low pt number did not allow a meaningful analysis. In addition, in our study GATA2mut occurred in rare cases with NPM1mut, FLT3-ITD or FLT3-TKD mutations. Conclusions In our study on a large cohort of CEBPA mutated AML pts we could confirm the high coincidence of GATA2 mutations, in particular in the subgroup of pts with CEBPA double mutations. However, GATA2 mutations had no impact on clinical outcome neither in the whole cohort nor in distinct pt subgroups. Disclosures: Schlegelberger: Celgene: Consultancy. Germing:Celgene: Honoraria, Research Funding. Kindler:Novartis: Membership on an entity’s Board of Directors or advisory committees. Schlenk:Novartis: Research Funding; Amgen: Research Funding; Chugai: Research Funding; Pfizer: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Ambit: Honoraria.
    Materialart: Online-Ressource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Hematology
    Publikationsdatum: 2013
    ZDB Id: 1468538-3
    ZDB Id: 80069-7
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie auf den KOBV Seiten zum Datenschutz