Literature DB >> 24162333

Younger patients with chronic myeloid leukemia do well in spite of poor prognostic indicators: results from the randomized CML study IV.

Lida Kalmanti1, Susanne Saussele, Michael Lauseker, Ulrike Proetel, Martin C Müller, Benjamin Hanfstein, Annette Schreiber, Alice Fabarius, Markus Pfirrmann, Susanne Schnittger, Jolanta Dengler, Christiane Falge, Lothar Kanz, Andreas Neubauer, Frank Stegelmann, Michael Pfreundschuh, Cornelius F Waller, Karsten Spiekermann, Stefan W Krause, Dominik Heim, Christoph Nerl, Dieter K Hossfeld, Hans-Jochem Kolb, Andreas Hochhaus, Joerg Hasford, Rüdiger Hehlmann.   

Abstract

Since the advent of tyrosine kinase inhibitors, the impact of age on outcome of chronic myeloid leukemia (CML) patients has changed. We therefore analyzed patients from the randomized CML study IV to investigate disease manifestations and outcome in different age groups. One thousand five hundred twenty-four patients with BCR-ABL-positive chronic phase CML were divided into four age groups: (1) 16-29 years, n = 120; (2) 30-44 years, n = 383; (3) 45-59 years, n = 495; and (4) ≥60 years, n = 526. Group 1 (adolescents and young adults (AYAs)) presented with more aggressive disease features (larger spleen size, more frequent symptoms of organomegaly, higher white blood count, higher percentage of peripheral blasts and lower hemoglobin levels) than the other age groups. In addition, a higher rate of patients with BCR-ABL transcript levels >10 % on the international scale (IS) at 3 months was observed. After a median observation time of 67.5 months, no inferior survival and no differences in cytogenetic and molecular remissions or progression rates were observed. We conclude that AYAs show more aggressive features and poor prognostic indicators possibly indicating differences in disease biology. This, however, does not affect outcome.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24162333      PMCID: PMC3889634          DOI: 10.1007/s00277-013-1937-4

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


Introduction

Chronic myeloid leukemia (CML) appears in all age groups. The incidence increases with age. In western countries, median age at diagnosis is 64 years [1, 2] and around 54 years [3] in clinical studies. Before the introduction of imatinib, older age was a negative prognostic factor, as reflected by the risk stratification scores, Sokal and Euro [4, 5]. After the introduction of imatinib, the outcome of patients with CML has improved, and older age seems to have lost its negative impact [6, 7]. A recent analysis that compares patients less than 65 years with patients older than 65 years treated with frontline imatinib reports no difference in an outcome between these two age groups [8]. Another analysis that compares 15–29-year-old adolescents and young adults (AYAs) with patients older than 29 years with newly diagnosed chronic phase (CP) CML treated with first-line tyrosine kinase inhibitors (TKIs) reports inferior response rates in the younger group [9]. AYAs have been of particular interest in oncology because differences compared to older age have been observed in various neoplasias: In acute lymphoblastic leukemia, different disease features and a better outcome are reported in AYAs in comparison to older patients [10, 11]. A worse prognosis has been reported in breast cancer [12, 13], colorectal cancer [14], and soft tissue sarcomas [15], pointing to different biological features of these cancers in younger age [16]. Few data exist on presentation and outcome of AYAs with CML possibly due to the low incidence of CML in this age group. The aim of this study was to analyze the impact of age on outcome of CML using patients from the German CML study IV with particular attention to the group of patients younger than 29 years.

Patients and methods

The German CML study IV is a five-arm randomized study which compares 400 mg imatinib, 800 mg imatinib, 400 mg imatinib in combination with interferon alpha (IFN-α), 400 mg imatinib in combination with low-dose cytarabine, and 400 mg imatinib after failure to IFN-α [17]. Newly diagnosed BCR-ABL-positive CP-CML patients diagnosed in participating centers were included. There was no upper age limit. Patients with comorbidities that would preclude study participation or study drug treatment were excluded as well as pregnant or nursing women and patients with secondary malignancy causing reduced life expectancy or requiring therapy. Patients, 16 years and older, were included. Twenty-nine years was defined as upper cutoff age for AYAs [9, 18–21]. For older patients, the lower cut off at age 60 years was chosen [6, 22]. Age groups, 30–59, were evenly divided into two groups (30–44 and 45–59). Gender, performance status, risk scores, clinical manifestations, blood count, type of transcripts, and presence of additional chromosomal aberrations (ACAs) [23] were analyzed at the time of diagnosis. Cytogenetic and molecular responses, rates of progression to accelerated phase (AP) and blast crisis (BC), and overall survival (OS) were analyzed throughout the observation time of the study. Patients were analyzed for achieving complete cytogenetic remission (CCR), major molecular remission (MMR), and molecular remission ≤0.01 % on the international scale (MR4), if at least one sample of sufficient quality was available. For follow-up analyses of CCR, at least 20 marrow cell metaphases were evaluated. Measurements of BCR-ABL and total ABL transcripts were determined by quantitative reverse transcriptase polymerase chain reactions from peripheral blood samples [24-26] and were performed in standardized laboratories [27]. The analysis of molecular endpoints was restricted to patients expressing b2a2 and/or b3a2 transcripts only. Response definitions, AP, and BC were defined according to ELN criteria and the recent standardized definitions of molecular response [28-30]. All living patients were censored at the time of their last visit. In estimating the cumulative incidences of molecular or cytogenetic remissions, patients were censored at the time they received a second-generation TKI or were transplanted. OS was calculated from date of diagnosis to death from any cause (whether on or off TKI) or to the latest follow-up date. Baseline characteristics and hematological parameters were compared with the chi-squared or the Kruskal–Wallis tests. Cumulative incidences were calculated under consideration of competing risks [31, 32] defined by AP, BC, and death. Probabilities of OS were calculated by the Kaplan–Meier method and compared by log-rank test. Comparisons between cumulative incidences were performed by the Gray test [33]. Relative overall survival was calculated dividing the observed survival probabilities by the expected survival probability of the general German population matching age and sex. Level of significance was 0.05. Due to the exploratory character of this work, no adjustment of p values was done. All calculations were performed with the SAS software Version 9.1.3. The protocol followed the Declaration of Helsinki and was approved by the ethics committee of the Medizinische Fakultät Mannheim der Universität Heidelberg and by local ethics committees of participating centers. Written informed consent was obtained from all patients before they entered the study.

Results

One thousand five hundred fifty-one patients with newly diagnosed BCR-ABL-positive CML in CP were randomized from July 2002 through March 2012. Data entry was closed on May 24, 2012. One thousand five hundred twenty-four patients at the age of 16 years and older were evaluable for follow-up (Fig. 1). The median age at diagnosis was 52 years. The median observation time was 67.5 (0.1–123.8) months.
Fig. 1

Overview of evaluable patients according to age groups. n Number of patients, CML chronic myeloid leukemia, CP chronic phase, OS overall survival, CCR complete cytogenetic remission, MMR major molecular remission, MR molecular remission ≤0.01 % on the international scale

Overview of evaluable patients according to age groups. n Number of patients, CML chronic myeloid leukemia, CP chronic phase, OS overall survival, CCR complete cytogenetic remission, MMR major molecular remission, MR molecular remission ≤0.01 % on the international scale Patients were divided into four age groups according to age at diagnosis: group 1, 16–29 years (n = 120, 8 %); group 2, 30–44 years (n = 383, 25 %); group 3, 45–59 years (n = 495, 32 %); and group 4, ≥60 years (n = 526, 35 %). All patients received imatinib as first or second-line treatment in the study except for ten patients who only received IFN. Recruitment to this arm was terminated in 2005 [17]. More patients in group 1 were transplanted (19 %) compared to 12, 7, and 1 % in groups 2, 3, and 4, respectively. The number of patients according to age groups and therapy arm are shown in Table 1.
Table 1

Patients and treatment arms

Age groups, years16–2930–4445–59At least 60
All patients, n 120383495526
 Imatinib (400 mg), n (%)25 (21)93 (24)131 (26)147 (28)
 Imatinib (400 mg + IFN-α), n (%)39 (32)102 (27)139 (28)145 (27)
 Imatinib (400 mg + cytarabine), n (%)13 (11)39 (10)53 (11)53 (10)
 Imatinib (400 mg after IFN-α failure), n (%)8 (7)35 (9)37 (7)48 (9)
 Imatinib (800 mg), n (%)35 (29)114 (29)135 (27)133 (25)

N number of patients, IFN-α interferon

Patients and treatment arms N number of patients, IFN-α interferon There was a predominance of male gender in all age groups, but group 1 showed a significantly higher percentage of male patients in comparison to group 4 (67 % for groups 1 and 2 each, 61 % for group 3, and 54 % for group 4, p = 0.011). Most patients had a Karnofsky index >80 %, but 12 % of patients in group 1 had a Karnofsky index between 50–80 % compared to 9 % in groups 2 and 3 and 16 % in group 4 (Table 2).
Table 2

Patient's characteristics

Age groups, years16–2930–4445–59At least 60
Number of patients, n (%)120 (8)383 (25)495 (32)526 (35)
 Male80 (67)255 (67)301 (61)283 (54)
 Female40 (33)128 (33)194 (39)243 (46)
p 0.011a
Karnofsky index, n (%)
 50–8013 (12)31 (9)42 (9)74 (16)
 >80–<10032 (29)86 (25)144 (32)166 (35)
 10065 (59)226 (66)271 (59)234 (49)
p <0.001a <0.001a <0.001a
 Missing10403852
EUTOS score, n (%)
 Low97 (82)320 (84)436 (89)473 (92)
 High22 (18)63 (16)54 (11)41 (8)
p 0.031a 0.002a
 Missing10512
Sokal score b, n (%)
 Low64 (54)190 (50)226 (46)90 (17)
 Intermediate23 (19)100 (26)155 (32)300 (58)
 High31 (26)92 (24)110 (22)125 (24)
p 0.035a <0.001a
 Missing21411
Euro score b, n (%)
 Low70 (59)267 (70)144 (29)69 (13)
 Intermediate29 (24)84 (22)286 (58)391 (75)
 High20 (17)31 (8)65 (13)61 (12)
p 0.013a <0.001a <0.001a
 Missing1105
Presence of organomegaly-related symptoms, n (%)33 (29)86 (24)84 (18)37 (7)
p 0.009a <0.001a
 Missing5191823
Spleen size, below costal margin
 Median (range), cm5 (0–38)3 (0–28)1 (0–25)0 (0–23)
p 0.014a <0.001a <0.001a
 Missing, n 1026
Blasts in blood
 Median (range), %2 (0–19)c 1 (0–17)c 1 (0–30)c 0 (0–15)
p 0.010a <0.001a
 Missing, n 1146
WBC
 Median (range), 109/L144 (9–571)106 (3–539)74 (3–630)57 (3–582)
p 0.044a <0.001a <0.001a
 Missing, n 1223
Hemoglobin
 Median (range), g/dL11.1 (6.9–16.2)11.8 (5.2–17.5)12.6 (4.9–19.1)12.5 (4.7–17.6)
p 0.041a <0.001a <0.001a
 Missing, n 2335
Eosinophils
 Median (range), (%)2.5 (0–12)2 (0–13)2 (0–14)2 (0–28)
 Missing, n 0243
Basophils
 Median (range), (%)3 (0–19)3 (0–22)4 (0–26)3 (0–66)
 Missing, n 0256
Platelets
 Median (range), × 109/L430 (59–2,590)369 (39–2,799)364 (49–3,020)381 (34–2,716)
 Missing, n 0112
BCR-ABL transcript type, n (%)
 b2a255 (48)146 (39)200 (42)186 (38)
 b3a242 (36)166 (45)210 (44)233 (47)
 Either18 (16)61 (16)65 (14)72 (15)
 Missing5102035
ACAs, n (%)
 Yes6 (6)13( 4)22(5)12(3)
 No98 (94)321 (96)421 (95)452 (97)
 Missing16495262
>10 % BCR-ABL IS at 3 months
n, (%)25(42)74(42)60 (26)53 (25)
p 0.026a 0.018a
 Missing, n 60204263313
>10 % BCR-ABL IS at 6 months
n, (%)6 (13)30(19)28(13)29(15)
 Missing, n 72224272320

BCR-ABL IS BCR-ABL transcript levels on international scale ACAs: additional cytogenetic aberrations except −Y

a p value refers to test between group 1 and the respective groups. Values not shown were above 0.05

bIn Sokal and Euro score age is included for risk stratification

cEight patients with blasts in blood > 15 % were included as chronic phase patients after judged so by the treating physicians. All had bone marrow blasts ≤10 %

Patient's characteristics BCR-ABL IS BCR-ABL transcript levels on international scale ACAs: additional cytogenetic aberrations except −Y a p value refers to test between group 1 and the respective groups. Values not shown were above 0.05 bIn Sokal and Euro score age is included for risk stratification cEight patients with blasts in blood > 15 % were included as chronic phase patients after judged so by the treating physicians. All had bone marrow blasts ≤10 % Patients in group 1 had the highest proportion of high-risk patients according to Euro and EUTOS scores. By EUTOS score, 18 % of patients in group 1 were high risk in comparison to 16 % (ns), 11 % (p = 0.031), and 8 % (p < 0.002) in groups 2, 3, and 4, respectively. Group 1 presented with a larger spleen size (median length of 5 cm below the costal margin), more often with symptoms of organomegaly, higher white blood cell counts (WBC), a higher percentage of blasts in the peripheral blood (median of 144 × 109/L), and lower hemoglobin levels (median of 11.1 g/dL). There were no differences in fatigue, weight loss, fever, or other symptoms, in the percentage of eosinophils, basophils, platelets, bone marrow blasts, ACAs, and type of BCR-ABL transcripts at diagnosis between the four groups (Table 2). No significant differences in cumulative incidences of CCR, MMR, and MR4 were found between group 1 and the other 3 groups (Fig. 2a–c).
Fig. 2

a–c Cumulative incidences of a CCR, b MMR, and c MR4 according to the four age groups determined under consideration of competing risks. n Number of patients, CCR complete cytogenetic, remission, MMR major molecular remission, MR molecular remission ≤0.01 % on the international scale. p refers to level of significance between AYAs and the other three age groups

a–c Cumulative incidences of a CCR, b MMR, and c MR4 according to the four age groups determined under consideration of competing risks. n Number of patients, CCR complete cytogenetic, remission, MMR major molecular remission, MR molecular remission ≤0.01 % on the international scale. p refers to level of significance between AYAs and the other three age groups The 5-year OS probability of group 1 was 96.7 %, 93.8 % for group 2, 92.5 % for group 3, and 82.9 % for group 4. OS was lower only in group 4 in comparison to the other three age groups (p < 0.001) as observed in the general population [34]. The relative survival (RS) when the general German population was taken into account was 96.9 % in group 1, 94.5, 95.1, and 93.1 % in groups 2–4, respectively [34]. Regarding progression during the observation time, no differences were observed between the age groups. The cumulative incidences of progression at 5 years were 8.7, 7.3, 5.3, and 6.1 % for groups 1 to 4, respectively (Fig. 3).
Fig. 3

Rates of progression to AP and BC according to age group. No statistical difference was observed between the four age groups. n Number of patients, AP accelerated phase, BC blast crisis, CI cumulative incidence. p refers to level of significance between AYAs and the other three age groups

Rates of progression to AP and BC according to age group. No statistical difference was observed between the four age groups. n Number of patients, AP accelerated phase, BC blast crisis, CI cumulative incidence. p refers to level of significance between AYAs and the other three age groups More patients in group 1 had BCR-ABL IS ≥10 % at 3 months (42 %) than patients above 44 years (26 % for group 3, p = 0.026 and 25 % for group 4, p = 0.018). There was no difference to group 2 (Table 2). A correlation between a specific cause of death age group and therapy arm was not observed. Causes of death in each group are shown in Table 3.
Table 3

Causes of death

Age groups, years16–2930–4445–59At least 60
All patients, n 120383495526
Total deaths4233887
Progression to AP, BC171322
SCT related2681
Infection in CP0228
Secondary malignancy00221
Bleeding0210
Cardiopulmonary10214
Renal insufficiency0003
Thromboembolic/ischemic (not cardiac)0122
Suicide0002
Others0124
Unknown04610

Multiple causes are possible. Autopsy performed only in few cases

n number of patients, AP accelerated phase, BC blast crisis, CP chronic phase, SCT stem cell transplantation

Causes of death Multiple causes are possible. Autopsy performed only in few cases n number of patients, AP accelerated phase, BC blast crisis, CP chronic phase, SCT stem cell transplantation

Discussion

The median age of the 1,524 CML patients of the CML study IV was 52 years with a male preponderance. AYAs represented 8 % of the study population in agreement with reports of CML incidence in AYAs [9, 35]. AYAs in our study presented features of a more aggressive disease, with higher levels of WBC and blasts in the peripheral blood, lower hemoglobin, larger spleen size, and more frequent organomegaly-related symptoms. The larger spleen size is reflected in the EUTOS score in which age is not included as a parameter and is in line with a study of Pemmaraju et al. who report a higher frequency of splenomegaly at diagnosis in 61 AYAs than in 407 older patients [9], and a study of Cortes et al. who report that splenomegaly was more frequent in patients below 60 years than above 60 years [6]. Similar observations have been made in children with CML (increased rates of splenomegaly and leucocytosis) [36-38], supporting our findings that aggressive disease features become less apparent as age increases. Although a worse outcome was expected in our group of 120 AYAs [9], no differences in cumulative incidence of CCR, MMR, and MR4 were observed in comparison to the other three groups. This is different from the results of Pemmaraju et al. [9] who report significantly lower cytogenetic and molecular responses in AYAs. The two studies however did not find difference in OS. No inferior survival after a median observation time of 5.6 years was observed in our study either. We have observed, however, a greater percentage of younger patients with BCR-ABL transcript levels above 10 % at 3 months in comparison to patients 44 years and older. Transcript levels above 10 % are correlated with an unfavorable prognosis [39, 40] and identify patients that require more frequent monitoring [41]. These findings could suggest different disease biology of CML in younger patients. The identification of distinct age-related genetic and biologic features has been found in various neoplasms: in colon cancer chromosomal instability and a greater tumor invasion is observed in younger patients [42]. In papillary thyroid cancer, different gene expression and advanced disease presentation in AYAs were correlated with better prognosis [43]. In breast cancer, younger women show unique genetic pathways recognized as negative prognostic markers [13]. In acute lymphoblastic leukemia (ALL), distinct biological findings are reported in AYAs, which are generally correlated with poor prognosis: increased incidence of Philadelphia chromosome and intrachromosomal amplification of chromosome 21, increased promoter methylation, and more frequent T cell immunophenotype as well as presence of a mediastinal mass. Due to treatment optimization, ALL outcome is better in AYAs than in adults [10, 11, 44]. In our analysis, we did not detect obvious biological differences. We did not observe differences in transcript type or ACAs nor did others: no differences in transcript type in relation to age were found in 146 pediatric CML patients, including 30 AYAs [36]. Differences in stem cell biology, bone marrow microenvironment, or signaling pathways could exist since many biologic pathways are triggered by BCR-ABL and are successfully inhibited by TKI therapy [45-47] but data to support this in AYAs are still lacking. Another possible interpretation of the more aggressive features at diagnosis of CML in AYAs could be that younger patients are less frequently transferred to the physician than older ones and only when symptoms are apparent as a consequence of better health and less frequent comorbidities than in older people. As there are no data to support this hypothesis, this remains speculative. Since the introduction of imatinib, response rates have improved and progression of the disease rarely occurs [48]. Treatment with imatinib explains the high 5-year OS of AYAs in our study (97 %) in comparison to a recently published population-based study in the Netherlands, which started in the pre-imatinib era (1989–2009), in which the 5-year relative survival of AYAs with CML is reported to be 68 % in males and 76 % in females [49]. We conclude that AYAs with CML show features of a more aggressive disease indicating possible biological differences of younger patients that need to be investigated. Also, the higher transcript level at 3 months suggests a worse prognosis of AYAs. Nevertheless, younger patients do well in spite of poorer prognostic indicators. Below is the link to the electronic supplementary material. (DOCX 33 kb)
  44 in total

1.  Impact of age on the outcome of patients with chronic myeloid leukemia in late chronic phase: results of a phase II study of the GIMEMA CML Working Party.

Authors:  Gianantonio Rosti; Ilaria Iacobucci; Simona Bassi; Fausto Castagnetti; Marilina Amabile; Daniela Cilloni; Angela Poerio; Simona Soverini; Francesca Palandri; Giovanna Rege Cambrin; Franco Iuliano; Giuliana Alimena; Roberto Latagliata; Nicoletta Testoni; Fabrizio Pane; Giuseppe Saglio; Michele Baccarani; Giovanni Martinelli
Journal:  Haematologica       Date:  2007-01       Impact factor: 9.941

2.  Clinical and biological features at diagnosis in 40 children with chronic myeloid leukemia.

Authors:  Frédéric Millot; Philippe Traore; Joelle Guilhot; Brigitte Nelken; Thierry Leblanc; Guy Leverger; Dominique Plantaz; Yves Bertrand; Pierre Bordigoni; François Guilhot
Journal:  Pediatrics       Date:  2005-07       Impact factor: 7.124

Review 3.  Gastrointestinal stromal tumors in children and young adults: a clinicopathologic, molecular, and genomic study of 15 cases and review of the literature.

Authors:  Sonam Prakash; Lisa Sarran; Nicholas Socci; Ronald P DeMatteo; Jonathan Eisenstat; Alba M Greco; Robert G Maki; Leonard H Wexler; Michael P LaQuaglia; Peter Besmer; Cristina R Antonescu
Journal:  J Pediatr Hematol Oncol       Date:  2005-04       Impact factor: 1.289

4.  Elderly patients with Ph+ chronic myelogenous leukemia (CML): results of imatinib mesylate treatment.

Authors:  Roberto Latagliata; Latagliata Roberto; Massimo Breccia; Breccia Massimo; Ida Carmosino; Carmosino Ida; Chiara Sarlo; Sarlo Chiara; Enrico Montefusco; Montefusco Enrico; Marco Mancini; Mancini Marco; Fiammetta Natalino; Natalino Fiammetta; Antonio Chistolini; Chistolini Antonio; Rosa De Cuia; De Cuia Rosa; Eleonora Russo; Russo Eleonora; Giacomo Salvatore Morano; Morano Salvatore Giacomo; Francesca Biondo; Biondo Francesca; Antonio Spadea; Spadea Antonio; Franco Mandelli; Mandelli Franco; Giuliana Alimena; Alimena Giuliana
Journal:  Leuk Res       Date:  2005-03       Impact factor: 3.156

Review 5.  Evolving concepts in the management of chronic myeloid leukemia: recommendations from an expert panel on behalf of the European LeukemiaNet.

Authors:  Michele Baccarani; Giuseppe Saglio; John Goldman; Andreas Hochhaus; Bengt Simonsson; Frederick Appelbaum; Jane Apperley; Francisco Cervantes; Jorge Cortes; Michael Deininger; Alois Gratwohl; François Guilhot; Mary Horowitz; Timothy Hughes; Hagop Kantarjian; Richard Larson; Dietger Niederwieser; Richard Silver; Rudiger Hehlmann
Journal:  Blood       Date:  2006-05-18       Impact factor: 22.113

6.  Five-year follow-up of patients receiving imatinib for chronic myeloid leukemia.

Authors:  Brian J Druker; François Guilhot; Stephen G O'Brien; Insa Gathmann; Hagop Kantarjian; Norbert Gattermann; Michael W N Deininger; Richard T Silver; John M Goldman; Richard M Stone; Francisco Cervantes; Andreas Hochhaus; Bayard L Powell; Janice L Gabrilove; Philippe Rousselot; Josy Reiffers; Jan J Cornelissen; Timothy Hughes; Hermine Agis; Thomas Fischer; Gregor Verhoef; John Shepherd; Giuseppe Saglio; Alois Gratwohl; Johan L Nielsen; Jerald P Radich; Bengt Simonsson; Kerry Taylor; Michele Baccarani; Charlene So; Laurie Letvak; Richard A Larson
Journal:  N Engl J Med       Date:  2006-12-07       Impact factor: 91.245

7.  A new prognostic score for survival of patients with chronic myeloid leukemia treated with interferon alfa. Writing Committee for the Collaborative CML Prognostic Factors Project Group.

Authors:  J Hasford; M Pfirrmann; R Hehlmann; N C Allan; M Baccarani; J C Kluin-Nelemans; G Alimena; J L Steegmann; H Ansari
Journal:  J Natl Cancer Inst       Date:  1998-06-03       Impact factor: 13.506

8.  Prognostic discrimination in "good-risk" chronic granulocytic leukemia.

Authors:  J E Sokal; E B Cox; M Baccarani; S Tura; G A Gomez; J E Robertson; C Y Tso; T J Braun; B D Clarkson; F Cervantes
Journal:  Blood       Date:  1984-04       Impact factor: 22.113

Review 9.  Monitoring CML patients responding to treatment with tyrosine kinase inhibitors: review and recommendations for harmonizing current methodology for detecting BCR-ABL transcripts and kinase domain mutations and for expressing results.

Authors:  Timothy Hughes; Michael Deininger; Andreas Hochhaus; Susan Branford; Jerald Radich; Jaspal Kaeda; Michele Baccarani; Jorge Cortes; Nicholas C P Cross; Brian J Druker; Jean Gabert; David Grimwade; Rüdiger Hehlmann; Suzanne Kamel-Reid; Jeffrey H Lipton; Janina Longtine; Giovanni Martinelli; Giuseppe Saglio; Simona Soverini; Wendy Stock; John M Goldman
Journal:  Blood       Date:  2006-03-07       Impact factor: 22.113

10.  Imatinib and nilotinib induce apoptosis of chronic myeloid leukemia cells through a Bim-dependant pathway modulated by cytokines.

Authors:  Francis Belloc; François Moreau-Gaudry; Maialen Uhalde; Laurie Cazalis; Marie Jeanneteau; Francis Lacombe; Vincent Praloran; François-Xavier Mahon
Journal:  Cancer Biol Ther       Date:  2007-03-05       Impact factor: 4.742

View more
  16 in total

Review 1.  The argument for using imatinib in CML.

Authors:  Simone Claudiani; Jane F Apperley
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

2.  Response dynamics of pediatric patients with chronic myeloid leukemia on imatinib therapy.

Authors:  Rick Proschmann; Christoph Baldow; Tino Rothe; Meinolf Suttorp; Christian Thiede; Josephine T Tauer; Martin C Müller; Andreas Hochhaus; Ingo Roeder; Ingmar Glauche
Journal:  Haematologica       Date:  2016-11-17       Impact factor: 9.941

3.  Pediatric chronic myeloid leukemia is a unique disease that requires a different approach.

Authors:  Nobuko Hijiya; Kirk R Schultz; Markus Metzler; Frederic Millot; Meinolf Suttorp
Journal:  Blood       Date:  2015-10-28       Impact factor: 22.113

4.  Unfavorable outcome of chronic myelogenous leukemia in adolescent and young adults treated with tyrosine kinase inhibitors.

Authors:  Masatoshi Sakurai; Takehiko Mori; Daiki Karigane; Keiichi Tozawa; Eri Matsuki; Takayuki Shimizu; Kenji Yokoyama; Hideaki Nakajima; Yoshinobu Kanda; Shinichiro Okamoto
Journal:  Int J Hematol       Date:  2015-07-18       Impact factor: 2.490

5.  Dasatinib in Pediatric Patients With Chronic Myeloid Leukemia in Chronic Phase: Results From a Phase II Trial.

Authors:  Lia Gore; Pamela R Kearns; Maria Lucia de Martino; Carmino Antonio De Souza; Yves Bertrand; Nobuko Hijiya; Linda C Stork; Nack-Gyun Chung; Rocio Cardenas Cardos; Tapan Saikia; Franca Fagioli; Jong Jin Seo; Judith Landman-Parker; Donna Lancaster; Andrew E Place; Karen R Rabin; Mariana Sacchi; Rene Swanink; C Michel Zwaan
Journal:  J Clin Oncol       Date:  2018-03-02       Impact factor: 44.544

6.  Outcomes of Allogeneic Hematopoietic Cell Transplantation in Children and Young Adults with Chronic Myeloid Leukemia: A CIBMTR Cohort Analysis.

Authors:  Sonali Chaudhury; Rodney Sparapani; Zhen-Huan Hu; Taiga Nishihori; Hisham Abdel-Azim; Adriana Malone; Richard Olsson; Mehdi Hamadani; Andrew Daly; Ulrike Bacher; Baldeep M Wirk; Rammurti T Kamble; Robert P Gale; William A Wood; Gregory Hale; Peter H Wiernik; Shahrukh K Hashmi; David Marks; Celalettin Ustun; Reinhold Munker; Bipin N Savani; Edwin Alyea; Uday Popat; Ronald Sobecks; Matt Kalaycio; Richard Maziarz; Nobuko Hijiya; Wael Saber
Journal:  Biol Blood Marrow Transplant       Date:  2016-03-08       Impact factor: 5.742

7.  Increased megakaryocytic proliferation, pro-platelet deposition and expression of fibrosis-associated factors in children with chronic myeloid leukaemia with bone marrow fibrosis.

Authors:  K Hussein; A Stucki-Koch; G Göhring; H Kreipe; M Suttorp
Journal:  Leukemia       Date:  2017-02-27       Impact factor: 11.528

8.  Impact of comorbidities on overall survival in patients with chronic myeloid leukemia: results of the randomized CML study IV.

Authors:  Susanne Saussele; Marie-Paloma Krauss; Rüdiger Hehlmann; Michael Lauseker; Ulrike Proetel; Lida Kalmanti; Benjamin Hanfstein; Alice Fabarius; Doris Kraemer; Wolfgang E Berdel; Martin Bentz; Peter Staib; Maike de Wit; Martin Wernli; Florian Zettl; Holger F Hebart; Markus Hahn; Jochen Heymanns; Ingo Schmidt-Wolf; Norbert Schmitz; Michael J Eckart; Winfried Gassmann; Andrea Bartholomäus; Antonio Pezzutto; Elisabeth Oppliger Leibundgut; Dominik Heim; Stefan W Krause; Andreas Burchert; Wolf-Karsten Hofmann; Joerg Hasford; Andreas Hochhaus; Markus Pfirrmann; Martin C Müller
Journal:  Blood       Date:  2015-04-27       Impact factor: 22.113

9.  Prognosis of long-term survival considering disease-specific death in patients with chronic myeloid leukemia.

Authors:  M Pfirrmann; M Baccarani; S Saussele; J Guilhot; F Cervantes; G Ossenkoppele; V S Hoffmann; F Castagnetti; J Hasford; R Hehlmann; B Simonsson
Journal:  Leukemia       Date:  2015-09-29       Impact factor: 11.528

10.  Physiologically based pharmacokinetic model predictions of natural product-drug interactions between goldenseal, berberine, imatinib and bosutinib.

Authors:  Jeffry Adiwidjaja; Alan V Boddy; Andrew J McLachlan
Journal:  Eur J Clin Pharmacol       Date:  2022-01-20       Impact factor: 2.953

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.