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  • 1
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 32, No. 5 ( 2014-02-10), p. 415-423
    Abstract: Deep molecular response (MR 4.5 ) defines a subgroup of patients with chronic myeloid leukemia (CML) who may stay in unmaintained remission after treatment discontinuation. It is unclear how many patients achieve MR 4.5 under different treatment modalities and whether MR 4.5 predicts survival. Patients and Methods Patients from the randomized CML-Study IV were analyzed for confirmed MR 4.5 which was defined as ≥ 4.5 log reduction of BCR-ABL on the international scale (IS) and determined by reverse transcriptase polymerase chain reaction in two consecutive analyses. Landmark analyses were performed to assess the impact of MR 4.5 on survival. Results Of 1,551 randomly assigned patients, 1,524 were assessable. After a median observation time of 67.5 months, 5-year overall survival (OS) was 90%, 5-year progression-free-survival was 87.5%, and 8-year OS was 86%. The cumulative incidence of MR 4.5 after 9 years was 70% (median, 4.9 years); confirmed MR 4.5 was 54%. MR 4.5 was reached more quickly with optimized high-dose imatinib than with imatinib 400 mg/day (P = .016). Independent of treatment approach, confirmed MR 4.5 at 4 years predicted significantly higher survival probabilities than 0.1% to 1% IS, which corresponds to complete cytogenetic remission (8-year OS, 92% v 83%; P = .047). High-dose imatinib and early major molecular remission predicted MR 4.5 . No patient with confirmed MR 4.5 has experienced progression. Conclusion MR 4.5 is a new molecular predictor of long-term outcome, is reached by a majority of patients treated with imatinib, and is achieved more quickly with optimized high-dose imatinib, which may provide an improved therapeutic basis for treatment discontinuation in CML.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2014
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  • 2
    Online Resource
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    Springer Science and Business Media LLC ; 2022
    In:  Leukemia Vol. 36, No. 10 ( 2022-10), p. 2544-2547
    In: Leukemia, Springer Science and Business Media LLC, Vol. 36, No. 10 ( 2022-10), p. 2544-2547
    Type of Medium: Online Resource
    ISSN: 0887-6924 , 1476-5551
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
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  • 3
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 2567-2567
    Abstract: Allogeneic HSCT has been established as the only curative treatment option for patients with chronic myeloid leukemia (CML). However, after the advent of tyrosine kinase inhibitors (TKI) the proportion of transplanted patients has decreased dramatically. After imatinib failure, most patients receive second or third line therapy with alternative TKIs. In an important minority of patients, SCT is performed too late as more patients are transplanted after disease progression to accelerated phase or blast crisis than in first chronic phase (CP, Saussele et al. BMT 2012). A possible reason is the uncertainty on long-term outcome after SC T in the imatinib-era as reports are scarce and accurate comparative data on the impact of salvage TKI therapy vs allogeneic transplantation are missing. We therefore investigated the outcome of transplanted patients within the CML study IV. Preliminary data were published (Saussele et al. BLOOD 2010). Here, we sought to re-evaluate the outcome of these patients with a longer follow-up. In July 2002, the German CML-Study Group activated a prospective randomized trial comparing different imatinib based strategies in CP CML. Elective early HSCT was considered for patients with EBMT score 0–1 for those with high disease risk, and after imatinib failure. By the end of March 2012, 1551 patients were randomized. In 2008, HSCT was documented in 84 patients. One patient was not evaluable any more due to withdrawal of consent. 52 patients were male (65%), 23 high risk patients (28%) according to the Euro CML score. Median age at diagnosis was 37 years (range, 16-62), median time to HSCT was 12.6 months (range, 3.5-54). EBMT score was 0-1 in 8 (10%), 2 in 10 (12%), 3-4 in 44 (55%), and 〉 =5 in 18 patients (23%), three patients were missing. Median follow-up after HSCT was 86.9 months (range, 0.3-122). Based on the indication for HSCT three groups are defined: 1) early HSCT, n= 19 (23%; low EBMT score (n=9), high risk patients (n=7), patient request (n=3); 2) HSCT after imatinib failure or intolerance in first CP (n=36 patients, 43%), and 3) HSCT in second CP or higher, accelerated phase or blast crisis (n=28 patients, 34%). 26 patients died, 13 deaths were transplant related, 9 CML related 4 either unrelated or unknown. Overall survival rate at 6 years after HSCT was 89% (95%-confidence interval (CI): 72-99%) for group 1, 80% (95%-CI: 66-91%) for group 2, and 49% (31-68%) for group 3. A matched pair analysis could be performed for 53 transplanted patients of group 1 and 2. To each of the transplanted patients two imatinib-treated patients could be matched with regard to age, sex, risk profile, disease phase, and interval to transplantation. Median follow up of this population was 87 months. Overall survival after 8 years was 83% (95%-CI: 71-92%) for transplanted and 89% (95%-CI: 82-94%) for imatinib treated patients without any statistical difference. Data from this update with a longer follow-up support the role of HSCT as an attractive and important salvage therapy for CML patients with imatinib failure or intolerance. In a matched pair comparison of transplanted and non-transplanted patients, we did not find significant differences. Disclosures Saussele: Novartis: Honoraria, Research Funding, Travel Other; Bristol-Myers Squibb: Honoraria, Research Funding, Travel, Travel Other; Pfizer: Honoraria, Travel, Travel Other. Müller:Novartis: Honoraria, Research Funding; Bristol Myers Squibb: Honoraria, Research Funding; ARIAD: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Schnittger:MLL Munich Leukemia Laboratory: Equity Ownership. Hanfstein:Novartis: Research Funding; Bristol-Myers Squibb: Honoraria. Hochhaus:Novartis: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria; ARIAD: Honoraria, Research Funding; Pfizer: Consultancy, Research Funding. Pfirrmann:Novartis: Consultancy; Bristol-Myers Squibb: Honoraria. Hehlmann:Bristol-Myers Squibb: Research Funding; Novartis: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
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  • 4
    In: Blood, American Society of Hematology, Vol. 122, No. 21 ( 2013-11-15), p. 3996-3996
    Abstract: Current evidence indicates that acquired genetic instability in chronic myeloid leukemia (CML) as a consequence of the balanced reciprocal translocation t(9;22)(q34;q11) or the variant translocation t(v;22) and the resulting BCR-ABL fusion causes the continuous acquisition of additional chromosomal aberrations (ACA) and mutations and thereby progression to accelerated phase and blast crisis (BC). At least 10% of patients in chronic phase (CP) CML show ACA already at diagnosis and more than 80% of patients acquire ACA during the transformation process into BC. Therefore, alterations at diagnosis as well as acquisition of chromosomal changes during treatment are considered as a poor prognostic factor. Differences in progression-free survival (PFS) and overall survival (OS) have been detected depending on the type of ACA. Patients with major route ACA (+8, i(17)(q10), +19, +der(22)t(9;22)(q34;q11)) and with other alterations like -X, del(1)(q21), del(5)(q11q14), +10, -21 at diagnosis resulting in an unbalanced karyotype have a worse outcome. Patients with minor route ACA (for example reciprocal translocations other than the t(9;22)(q34;q11) (e.g. t(1;21), t(2;16), t(3;12), t(4;6), t(5;8), t(15;20)) resulting in a balanced karyotype show no differences in OS and PFS compared to patients with the standard translocation, a variant translocation or the loss of the Y chromosome (Fabarius et al., Blood 2011). Here we compare the type of chromosomal changes (i.e. balanced vs. unbalanced karyotypes) during the course of the disease from CP to BC aiming to provide a valid parameter for future risk stratification. Patients and Methods Clinical and cytogenetic data available from 1,346 out of 1,524 patients at diagnosis (40% females vs. 60% males; median age 53 years (range, 16-88)) with Philadelphia and BCR-ABL positive CP CML included until March 2012 in the German CML-Study IV (a randomized 5-arm trial to optimize imatinib therapy) were investigated. ACA were comparatively analyzed in CP and in BC. Results At diagnosis 1,174/1,346 patients (87%) had the standard t(9;22)(q34;q11) only and 75 patients (6%) had a variant t(v;22). Ninety-seven patients (7%) had additional cytogenetic aberrations. Of these, 44 patients (3%) lacked the Y chromosome (-Y) and 53 patients (4%) had ACA. Regarding the patients with ACA thirty-six of the 53 patients (68%) had an unbalanced karyotype and 17/53 patients (32%) a balanced karyotype. During the course of the disease 73 patients (out of 1,524 patients) developed a BC during the observation time (5%). Cytogenetic data were available in 52 patients with BC (21 patients with BC had no cytogenetic analysis). Three patients had a normal male or female karyotype after stem cell transplantation. Nine patients showed the translocation t(9;22)(q34;q11) or a variant translocation t(v;22) (six and three patients, respectively) only and in 40 patients ACA could be observed in BC (40/49 (82%)). Out of these 40 patients with ACA, 90% showed an unbalanced karyotype whereas only 10% of patients had a balanced karyotype. No male patient in BC showed the loss of the Y chromosome pointing to a minor effect of this numerical alteration on disease progression. Conclusion We conclude that patients with CML and unbalanced karyotype at diagnosis are under higher risk to develop CML BC compared to patients with balanced karyotypes or compared to patients without ACA. In BC, 90% of CML patients showed unbalanced karyotypes (only 68% of CML patients at diagnosis have unbalanced karyotypes) supporting the hypothesis that the imbalance of chromosomal material is a hallmark of disease progression, representing the natural history of the disease from CP to BC and indicating therefore a strong prognostic impact. Consequently, different therapeutic options (such as intensive therapy or stem cell transplantation) should be considered for patients with unbalanced karyotypes in CP CML at diagnosis. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Hehlmann:BMS: Consultancy, Research Funding; Novartis: Research Funding. Hochhaus:Novartis: Consultancy, Honoraria, Research Funding, travel Other; BMS: Consultancy, Honoraria, Research Funding; Pfizer : Consultancy, Honoraria; Ariad : Consultancy, Honoraria. Müller:Ariad: Honoraria; BMS: Honoraria, Research Funding; Novartis: Honoraria, Research Funding, Speakers Bureau. Saussele:Pfizer: Honoraria; BMS: Honoraria, Research Funding, Travel, Travel Other; Novartis: Honoraria, Research Funding, Travel Other.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2013
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  • 5
    In: Blood, American Society of Hematology, Vol. 122, No. 21 ( 2013-11-15), p. 1447-1447
    Abstract: Data on benefit and toxicity by treatment intensification for AML are now available and allow rediscussing current dosing. Methods In a multicenter trial involving patients between 16 and 86 years of age, patients below 60 years received uniform double induction by the 1st course with standard dose araC/ daunorubicin (60mg/m²x3)/ thioguanine followed by the 2nd course with high-dose araC (3g/m²x6)/ mitoxantrone (10mg/m²x3), or randomly two high-dose courses. As age adaption patients of 60y or older received the 2nd course only in case of persistent blasts, and high-dose araC at 1 instead of 3g/m². Post remission treatment was consolidation and maintenance or randomly autologous stem cell transplantation in younger patients. Results 3369 patients entered the trial with 1843 patients 60y or older. A multivariate analysis identified age as continuous variable, favorable cytogenetics/ molecular genetics, unfavorable cytogenetics, white blood cell count and lactate dehydrogenase as categorical variables to be risk factors predicting complete remission, overall survival as well as relapse free survival. To separate the age effect from the treatment effect, two subgroups of similar age and baseline characteristics but different treatment were compared. Thus, the 239 patients aged 57-59 and the 336 patients aged 60-62 years shared not only similar age but also similar baseline characteristics, while their treatment by protocol and age adaption differed substantially. The difference as expressed by the cumulative araC dosis amounted to a factor of 3.6, which however did not translate into a different overall survival (equally 28%) or relapse rate (equally 70%) at 5 years. In contrast to different treatment, different age had a strong effect on outcome. Thus, the survival in patients aged 16-46y was 65% at 5 years versus 40% in those of 47-59y receiving the same treatment (p 〈 0.001). A corresponding age related difference was also found between the patients of 60-66y and those of 67-86y (p 〈 0.001) receiving the same age adapted treatment. As shown by others in patients of 18-60y doubling an intermediate cumulative dose of araC produced excessive toxicity without therapeutic benefit (Löwenberg B et al. NEJM 2011; 364: 1027-36), while high dose daunorubicin (90mg/m²) instead of standard dose (45mg/m²) improved the remission rate and survival in younger patients (Fernandez H et al. NEJM 2009; 361: 1249-59) and older patients of 60-65y (Löwenberg B et al. NEJM 2009; 361: 1235-48). No comparable data are available about daunorubicin 60mg/m² the standard in present study. Conclusion Age and disease biology rather than chemotherapy intensity are the main determinants of outcome in AML. Once a certain intensity and antileukemic effect has been achieved, a further escalation does not seem to overcome the age factor in AML. Present data require rediscussing current chemotherapy dosing and treatment alternatives. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2013
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  • 6
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 1581-1581
    Abstract: During the course of chronic myeloid leukemia (CML) progression to blast crisis (BC) is thought to be caused by genetic instability such as cytogenetic aberrations in addition to the translocation t(9;22)(q34;q11). We have shown previously that major route ACA indicate an unfavorable outcome (Fabarius et al., Blood 2011). We now investigate whether there is a correlation in time between appearance of major route ACA and increase in blast count. Methods: Cytogenetic data and blast count in the peripheral blood were available from 1,290 CML patients recruited to the German CML-studies III (621 patients) and IIIa (669 patients) from January 1995 to January 2004. Treatments were interferon-alpha-based or related allogeneic stem cell transplantation (HSCT). Presence of ACA and major route ACA was considered as a time-dependent covariate. Multivariate proportional hazards models were estimated taking Euro CML score, study III vs. IIIa and stem cell transplantability into account. Cumulative incidences of blast increases were calculated starting at the date of the first ACA or major route ACA, respectively, regarding death as a competing risk. Patients were censored at the date of HSCT with an unrelated donor. Results: 1,287 patients were evaluable with median observation times of 13 and 12 years and a 10-year survival of 48% and 61% in CML studies III and IIIa, respectively. 258 patients progressed to BC with a cumulative 10-year incidence of 20%. 195 patients displayed ACA during the course of disease. 45 patients (15.7%) showed ACA already at diagnosis. 44 patients showed unbalanced minor route, 29 balanced minor route aberrations, 23 -Y. 109 patients showed major route aberrations including 10 with other prior ACA. In a multivariate analysis on 1,257 patients, patients with ACA had a hazard ratio (HR) for a blast increase of between 2.0-2.2 (p 〈 0.001) for blast increases to ≥1%, ≥5%, ≥10%, ≥15%, ≥ 20% and ≥30% compared with patients without ACA (Table). When the same model was performed for major route ACA only at any time during disease, HRs of 2.2-2.7 (p 〈 0.001) were found. For ACA without major route ACA HRs were 1.6-2.1 (p 〈 0.001). In the multivariate analyses of major route ACA vs. no major route ACA a blast increase of 1-5% after diagnosis of major route ACA seems already indicative of progression. 5 years after the diagnosis of any ACA the cumulative incidence for a blast increase was 30% (95%- confidence interval (CI): 23-38%), of a major route ACA 40% (95%- CI: 28-49%). The 6-year probability of death without blast increase was 10%. 14 additional patients received an unrelated transplant of which 6 died. We conclude that ACA, particularly major route ACA, precede an increase of blasts. Major route ACA have to be considered as a prognostic indicator for disease progression at any time. Table 1. Blast increase to HR (univariate): ACA vs. no ACA HR(multivariate)*: ACA vs. no ACA HR (univariate): major route ACA vs. no major route ACA HR (multivariate)*: major route ACA vs. no major route ACA ≥30% 2.409 2.139 2.646 2.203 ≥20% 2.413 2.144 2.656 2.211 ≥15% 2.415 2.161 2.868 2.426 ≥10% 2.416 2.160 2.799 2.357 ≥5% 2.286 2.047 2.719 2.278 ≥1% 2.209 1.999 3.171 2.684 *adjusted to Euro-Score, study (III vs. IIIa) and transplantability Disclosures Saussele: ARIAD: Honoraria; BMS: Honoraria, Other: Travel grant, Research Funding; Pfizer: Honoraria, Other: Travel grant; Novartis Pharma: Honoraria, Other: Travel grant, Research Funding. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Scheid:Janssen-Cilag: 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. Baerlocher:Geron Corporation: Research Funding; Novartis: Research Funding. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Müller:BMS: Consultancy, Honoraria, Research Funding; Ariad: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding. Hochhaus:ARIAD: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Pfirrmann:BMS: Consultancy, Honoraria; Novartis Pharma: Consultancy, Honoraria. Baccarani:Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; NOVARTIS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; ARIAD Pharmaceuticals, Inc.: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; PFIZER: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Hehlmann:BMS: Consultancy; Novartis Pharma: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2015
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  • 7
    In: Annals of Hematology, Springer Science and Business Media LLC, Vol. 92, No. 1 ( 2013-1), p. 41-52
    Type of Medium: Online Resource
    ISSN: 0939-5555 , 1432-0584
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2013
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  • 8
    In: Blood, American Society of Hematology, Vol. 114, No. 22 ( 2009-11-20), p. 3281-3281
    Abstract: Abstract 3281 Poster Board III-1 Introduction: In the two consecutive German CML studies III and IIIA (recruitment periods from 1995 to 2001 and 1997 to 2004), eligible patients were assigned to early HSCT by genetic randomization according to availability of a matched related donor. After randomization, 113 patients of study III (84% of 135) and 144 of study IIIA (87% of 166) were eventually transplanted in first chronic phase (CP) using a related donor. Despite comparable transplantation protocols and most centers participating in both studies, survival probabilities in study IIIA were significantly better, even when adjusted for the established EBMT risk score (Gratwohl et al., Lancet 1998 [1]), p + 0.0097. For further explanation, the German Registry for Stem Cell Transplantation (DRST) and the Swiss Transplant Working Group for Blood and Marrow Transplantation (STABMT) were asked for data support. Patients and Methods: The main sample characteristics of the 257 transplanted CML study patients were also applied to the registry patients: diagnosis of CML between 1994 and 2004, first HSCT with a related donor performed in first CP between 1995 and 2004 at an age between 12 and 65 years, and blood or bone marrow as stem cell sources. Thus, additional data of 582 HSCT patients were retrieved from the two registries. Age, recipient sex, donor sex, time between diagnosis and HSCT, calendar year of HSCT, stem cell source, and HLA matching were investigated as potential predictive factors for survival. Then, a sample of patients with the same risk distribution as the 113 patients of study III was randomly drawn from the registry patients. By application of repeated resampling to this new patient group, bootstrap confidence intervals for survival probabilities at various times after HSCT were extractable. This provided the basis to judge whether the survival in study III could be seen as a typical random representation of a sample with an equivalent risk structure or not. The same method was applied to the 144 patients of study IIIA. Results: The 5-year survival probability of all 839 patients resulted in 73% (229 died). Median follow-up time of living patients was 6.7 years. Due to the characteristic plateau of post-transplant survival probabilities, the predictive influence was judged by the Kaplan-Meier method and the log rank statistic. Also consideration of age and time between diagnosis and HSCT as continuous variables seemed less appropriate than working with categorizations. Furthermore, the previously published cut-points “1 year” for time from diagnosis to HSCT ([1] ) and “44 years” for age at HSCT (Maywald et al., Leukemia 2006) were independently confirmed to be the best. Cox model and logistic regression with survival status after 3 years both indicated that age at HSCT, HLA matching, time between diagnosis and HSCT, and calendar year of HSCT had independent statistically significant predictive influence on survival (p 〈 0.05). The first two factors had the strongest effects. Calendar year was only influential when distinction was made between HSCT until and after 1999. All possible combinations of the 4 factors could be summarized in 4 risk groups with significantly different survival probabilities (at 5 years: 87%, 76%, 63%, and 24%). Matched for the risk group distribution of study III [study IIIA], a maximum of 290 [428] registry patients could be drawn. For the 290 [428] patients, 5-year survival was 69% [77%] with a 95% bootstrap confidence interval from 63% to 74% [72% to 81%]. Thus, as for all yearly intervals within the first 5 years, the 5-year survival probabilities of studies III: 65% and IIIA: 79% lied within the corresponding confidence intervals. Conclusions: Along with the registry patients, the study data enabled the identification of age at HSCT, HLA matching, time between diagnosis and HSCT, and calendar year of HSCT as factors with independent predictive impact on survival which led to 4 risk groups with statistically significantly different survival probabilities. More favorable-risk patients in study IIIA stood for a better transplantation strategy. In consideration of these different risks, the survival probabilities in both studies did not significantly vary from those of registry samples with matched risk structures. Accordingly, an improved transplantation strategy along with random variation could be considered as an explanation of the significantly different survival probabilities between the two studies. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Equity Ownership. Hochhaus:Novartis, Bristol-Myers Squibb: Research Funding. Hasford:Novartis: Research Funding. Gratwohl:AMGEN, Roche, Bristol-Myers Squibb, Novartis, Pfizer: Research Funding; Novartis: Consultancy. German CML Study Group:Kompetenznetz Leukämie, European Leukemia Net, Roche, Essex, AMGEN: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 9
    In: Blood, American Society of Hematology, Vol. 112, No. 11 ( 2008-11-16), p. 448-448
    Abstract: Allogeneic HSCT remains an important option for patients with chronic myeloid leukemia (CML) who failed imatinib. Focus has been on second line tyrosine kinase inhibitors (TKI). Little is known on the outcome of HSCT for such patients. In July 2002, the German CML-Study Group activated a prospective randomized trial comparing different imatinib based strategies in chronic phase CML (CP). Elective early HSCT was considered for patients (pts) with EBMT score 0–1 for those with high disease risk, and after imatinib failure. By the end of July 2008, 1197 pts were randomized. In 80 (6,5 %) pts HSCT was documented. 52 pts were male (65%), 23 were high risk pts (28%) according to the Euro score. Median age at diagnosis was 37 years (yrs) (range 16–62), median time to HSCT was 12.6 months (mo, range 3.5–54 mo). EBMT score was 0–1 in 8 (10%), 2 in 10 (12%), 3–4 in 44 (55%) and 5 in 18 pts (23%). Median follow-up after HSCT was 19 mo (range 0–59). Cumulative response rates prior to HSCT were 68% for complete hematologic response, 23% for complete cytogenetic responses, and 9% for major molecular responses. Based on the indication for HSCT three groups were defined: early HSCT (n= 19, 23%; low EBMT score (n=9), high risk pts (n=7), patient request (n=3); HSCT after imatinib failure or intolerance in first CP (n=34, 43%) and HSCT in second CP or higher, accelerated phase or blast crisis (n=27, 34%). 14 pts died, 10 deaths were transplantation related, 4 CML related. Two pts with a molecular relapse were successfully treated with donor lymphocyte infusion in combination with TKI. Overall survival rate at two yrs for group one was 87.8%, for group two 93.8%, and for group three 49.5%. By EBMT score, survival rates were 100% for risk score 0–2, 82.2% for risk score 3–4, and 43.5% for risk score 5. Data from this prospective controlled cohort study clearly show that HSCT remains an attractive and important rescue therapy for CML patients with imatinib failure or intolerance, particularly for those with a low EBMT risk score. HSCT in 1st CP early HSCT HSCT for failure and intolerance in 1st CP Total HSCT in advanced phases N 19 34 53 27 Euro score high 6 8 14 9 intermediate 3 12 15 7 low 10 14 24 11 % male 63 56 60 78 Median age (range) 35 (16–56) 38 (21–56) 37 (16–56) 37 (18–62) Median time to HSCT (Range) (months) 8.5 (4.8–23.6) 17,5 (5.0– 53.7) 12.6 (4.8 53.7) 12.0 (3.5–54.1) EBMT score 0–1 5 3 8 0 2 5 4 9 1 3–4 9 26 35 9 & gt;=5 0 1 1 17 Best response CHR 11/18 28/34 39/52 14/26 CCyR 3/17 10/33 13/50 4/22 MMR 2/17 3/31 5/48 2/19 Response at HSCT BC 0 0 0 24 AP 0 0 0 3 CP 19 34 53 0 HR 11 19 30 0 Ccyr 2 2 4 0 MMR 0 0 0 0 Transplant source Sibling 10 10 20 9 Unrelated 9 24 33 18 Conditioning therapy standard 14 21 35 17 reduced 3 6 9 4 other 2 7 9 6 Source PB 13 26 39 22 BM 6 8 14 5 Dead 2 2 4 10 TRM 2 2 4 6 CML 0 0 0 4 Probability of survival at 2 years after HSCT 87.8% 93.8% 91.4% 49.5%
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2008
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  • 10
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 666-666
    Abstract: Background. The end phase or metamorphosis is one of the remaining challenges of chronic myeloid leukemia (CML) management. Blast crisis (BC) is a late marker. Earlier diagnosis may improve outcome. The detection of additional chromosomal abnormalities (ACA) at low blast levels might allow earlier treatment when outcome is better. Methods. We made use of 1536 Ph+CML-patients in chronic phase followed in the randomized CML study IV (Hehlmann et al, Leukemia 2017) for a median of 8.6 years. 1510 cytogenetically evaluable patients were analyzed for ACA and blast increase (Flow chart). According to impact on survival ACA were grouped into high-risk (+ 8; +Ph; i(17q); +17; +19 +21; 3q26; 11q23; -7; complex) and low-risk (all other). Prognosis with +8 alone was clearly better than with +8 accompanied by further abnormalities, but still worse than with low-risk ACA. +8 alone was therefore included in the high-risk group. The presence of high- and low-risk ACA was linked to 6 thresholds of blast increase (1%, 5%, 10%, 15%, 20%, and 30%) in a Cox proportional hazards model. Results. 139 patients (9.2%) displayed ACA at any time before BC diagnosis, 88 (5.8%) had high-risk and 51 (3.4%) low-risk ACA. ACA emerged after a median of 17 (0-133) months. 79 patients developed BC. 43 (61%) of 71 cytogenetically evaluable patients with BC had high-risk ACA. 3-year survival after emergence of high-risk ACA was 48%, after emergence of low-risk ACA 92%. At low blast levels (1-15%), high-risk ACA showed an increased hazard to die (ratios: 3.66 in blood; 6.84 in marrow) compared to no ACA in contrast to low-risk ACA. This effect was not observed anymore at blast increases to 20-30% (Figure). 38 patients with high-risk ACA died, 36 with known causes of death which were almost exclusively BC (n=26, 72%) and progression-related transplantation (n=8, 22%). Only 2 patients died of CML-unrelated causes. Conclusions. High-risk ACA herald death by BC already at low blast levels and may help to define CML end phase in a subgroup of patients at an earlier time than is possible with current blast thresholds. Cytogenetic monitoring is indicated when signs of progression surface and response to therapy is unsatisfactory. More intensive therapy may be indicated at emergence of high-risk ACA. Disclosures Hehlmann: Novartis: Research Funding. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Fabarius:Novartis: Research Funding. Krause:Siemens: Research Funding; Takeda: Honoraria; MSD: Honoraria; Gilead: Other: travel; Celgene Corporation: Other: Travel. Baerlocher:Novartis: Research Funding. Burchert:Novartis: Research Funding. Brümmendorf:Novartis: Consultancy, Research Funding; Janssen: Consultancy; Merck: Consultancy; Ariad: Consultancy; Pfizer: Consultancy, Research Funding; University Hospital of the RWTH Aachen: Employment. Hochhaus:Pfizer: Research Funding; Novartis: Research Funding; BMS: Research Funding; Incyte: Research Funding; MSD: Research Funding. Saussele:BMS: Honoraria, Research Funding; Incyte: Honoraria, Research Funding; Pfizer: Honoraria; Novartis: Honoraria, Research Funding. Baccarani:Novartis: Consultancy, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; Takeda: Consultancy.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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