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  • 1
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    The Cytogenetic Profile In Lymphoid and Myeloid CML Blast Crisis
    American Society of Hematology ; 2013
    In:  Blood Vol. 122, No. 21 ( 2013-11-15), p. 1487-1487
    Details
    In: Blood, American Society of Hematology, Vol. 122, No. 21 ( 2013-11-15), p. 1487-1487
    Abstract: In acute leukemias, specific cytogenetic aberrations frequently correlate with myeloid or lymphoid phenotype of blasts and influence risk stratification. In chronic myeloid leukemia (CML) blast crisis (BC) it is not clear whether myeloid or lymphoid phenotype of blasts could be distinguished by specific chromosomal aberrations and have prognostic value. At diagnosis of CML, major route additional cytogenetic aberrations (ACA) like +8, i(17)(q10), +19, +der(22)t(9;22)(q34;q11) and minor route ACA like -X, del(1)(q21), del(5)(q11q14), +10,-21, resulting in an unbalanced karyotype have been described to adversely affect 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 did not show differences in overall survival and progression free survival compared to patients with the standard translocation, a variant translocation or the loss of the Y chromosome. Aim of this study was to analyze the impact of the phenotype (myeloid or lymphoid) on time to BC and on cytogenetic pattern. Methods 73 out of 1524 evaluable patients (4.8%) randomized until March 2012 to the German CML-Study IV (a 5-arm trial to optimize imatinib therapy) progressed to BC. Cytogenetic data of 23 out of 32 patients with myeloid BC and 14 out of 21 patients with lymphoid BC were available. In 15 patients, cytogenetic analysis were missing whereas 2 and 3 patients had megakaryoblastic and mixed phenotype, respectively and were not considered in this analysis. Karyotypes of lymphoid and myeloid BC were divided in major route and minor route ACA and balanced and unbalanced karyotypes. Categorical covariates were compared with Fisher’s exact test, while continuous covariates were compared with the Mann-Whitney-Wilcoxon test. Survival probabilities after BC were compared using the log-rank test. Results Out of 23 patients with myeloid BC, 14 (61%) had major route unbalanced ACA (n=10) or minor route unbalanced ACA (n=4), 4 had minor route balanced ACA and 5 patients had the translocation t(9;22)(q34;q11) or a variant translocation t(v;22) without ACA.13 out of 14 (93%) patients with lymphoid BC had major route unbalanced (n=10) or minor route unbalanced ACA (n=3) and 1 had the standard translocation t(9;22)(q34;q11) only. Between myeloid and lymphoid BC, the difference in the distribution of unbalanced ACA was apparent, but not statistically significant (p=0.06). The most frequently observed major route ACA was trisomy 8 in both groups (7 vs. 6), +der (22)t(9;22)(q34;q11) was more frequently found in myeloid than lymphoid BC (6 vs. 2), +19 was found in both phenotypes (3 vs. 3) whereas an isochromosome i(17)(q10) and an isoderivative chromosome ider(22)t(9;22)(q34;q11) were less frequent and found only in myeloid BC (1 for each vs 0 for each aberration). In lymphoid BC, 5 of 14 patients (36%) had ACA which involved chromosome 7 (del(7)(q22) and -7) whereas in myeloid BC only 2 patients (9%) had -7 (p=0.08). The balanced karyotype with a translocation t(3;21)(q26;q22) and the translocation t(9;11)(p22;q23) described in acute myeloid leukemia was observed in 3 patients with myeloid CML (2 and 1, respectively) and in none with lymphoid phenotype. No differences were observed in time to BC for patients with lymphoid vs. myeloid BC (p=0.31, median time: 409 vs. 453 days) and survival after onset of BC (p=0.9, median time: 544 vs. 284 days). Conclusions The proportion of unbalanced karyotypes was higher in lymphoid than in myeloid BC. In lymphoid BC alterations of chromosome 7 were more often present whereas +der(22)t(9;22)(q34;q11) was observed more frequently in myeloid BC. The reciprocal translocations t(3;21)(q26;q22) and t(9;11)(p22;q23) described in acute myeloid leukemias were only observed in myeloid BC. However these cytogenetic differences do not seem to alter the course of BC. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Hehlmann:Novartis: Research Funding; BMS: Consultancy, Research Funding. Hochhaus:Ariad: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding, Travel Other. Müller:Novartis: Honoraria, Research Funding, Speakers Bureau; BMS: Honoraria, Research Funding; Ariad: Honoraria. 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
    URL: Article
    DOI: 10.1182/blood.V122.21.1487.1487
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2013
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  • 2
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    Second Line Therapy with Second Generation TKI After Intolerance to Imatinib Based Treatments Showed High Overall Survival in Contrast to Second Line Therapy After Resistance; Results of the Randomized CML Study IV
    American Society of Hematology ; 2011
    In:  Blood Vol. 118, No. 21 ( 2011-11-18), p. 781-781
    Details
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 781-781
    Abstract: Abstract 781FN2 Introduction: Data on second line therapy with second generation tyrosine kinase inhibitors (TKI) in CML treatment were generated mainly from phase II/III industry initiated trials (Review Hehlmann Exp Op. 2011). 24-month overall survival (OS) varies between 88% and 94% after intolerance and/or resistance to imatinib for chronic phase (CP) and between 67% and 72% for accelerated phase (AP) or blast crisis (BC). Intention to treat analyses including outcome of patients after discontinuation of first line therapies have not been available as yet. We thought to evaluate overall and progression-free survival (OS and PFS) of imatinib intolerant vs. resistant patients under second line TKI with long-term follow-up within an investigator initiated trial. Methods: We analyzed data of the German CML study IV, a randomized 5-arm trial to optimize imatinib therapy on an intention to treat basis. According to protocol, follow-up of patients on and after second generation TKI after imatinib intolerance and/or resistance was continued for OS and PFS. Analysis of PFS was only relevant, if intolerance and resistance to imatinib therapy occurred while a patient was still in chronic phase (CP). Patients were censored at the time of allogeneic stem cell transplantation (allo-SCT). Results: From July 2002 to December 2010, 1,502 patients with Philadelphia chromosome and /or BCR-ABL positive CML in CP were randomized. 129 patients of the “imatinib after interferon arm” and 36 other patients had to be excluded (14 due to incorrect randomization or withdrawal of consent, 22 with missing baseline information). 1337 were randomized to primary imatinib treatment (imatinib 400 mg vs. imatinib 800 mg vs. imatinib in combination with either interferon alpha or araC). Of these, 234 (17%) discontinued imatinib therapy. 156 patients were treated with 2nd generation TKI, 61 were directly referred to allo-SCT, 17 patients received other regimens (including interferon alpha only or hydroxyurea). 120 of 156 patients started second generation TKI therapy (nilotinib, n=41, dasatinib, n=75, bosutinib, n=2, nilotinib and dasatinib, n=2) within 3 months after stopping imatinib, received treatment for at least one week and were evaluable for PFS and OS. 36 patients received second TKI later (median 10 months, range 3.5–61.4). Median age was 50 years (range 16–78), 42.5% were female. 48 patients were intolerant, 48 failed imatinib within CP and 24 after loss of CP (accelerated phase, n=10, blast crisis, n=14). Median time to second generation TKI was 17 months (range 1.4–97 months) and median follow-up after start of second-line TKI 31 months (range 0.2–71 months). Risk stratification according to the EUTOS Score was high in 20 patients (17%) and low in 94 patients (78%) and unknown in 6 patients (5%). OS for all 120 patients 3 years after start of second generation TKI was 73%, 96% for intolerant and 80% for resistant patients in CP and 19% for resistant patients in advanced disease (s. Fig. 1). According to EUTOS score, 3-year OS was 78% for low and 56% for high risk patients. Probability of PFS of the 96 patients in 1st CP after 3 years was 96% for intolerant and 76% for resistant patients. After 2nd generation TKI, 18 patients received an allo-SCT: all were in CP, 2 patients after imatinib intolerance, 16 patients after imatinib resistance. Conclusion: Survival on second generation TKI is high for imatinib intolerant patients in first CP but much lower for resistant patients in first CP or for patients with advanced disease phases. Alternative treatment strategies are warranted for these patient groups. Disclosures: Krause: Micromet: Research Funding. Kneba:Hoffmann La Roche: Honoraria. Hochhaus:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Ariad: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. German CML Study Group:Deutsche Krebshilfe: Research Funding; Novartis: Research Funding; BMBF: Research Funding; EU: Research Funding; Roche: Research Funding; Essex: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V118.21.781.781
    RVK:
    XA 33000
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    XA 10000
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
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  • 3
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    Front Line Treatment of Elderly Patients with Acute Promyelocytic Leukemia: Long-Term Results of the German AML Cooperative Group
    American Society of Hematology ; 2011
    In:  Blood Vol. 118, No. 21 ( 2011-11-18), p. 425-425
    Details
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 425-425
    Abstract: Abstract 425 The introduction of all-trans-retinoic acid (ATRA) in front line therapy of acute promyelocytic leukemia (APL) has improved the outcome of all age groups. In the elderly patients (pts), multi-morbidity and higher vulnerability to chemotherapy-related toxicity are the main problems reducing the chance of cure. This has led to recommendations to reduce the intensity of therapy in elderly APL pts. We report on the long-term outcome of pts with newly diagnosed APL registered in two prospective studies of the German AML Cooperative Group (AMLCG) from December 1994 until June 2011. The therapy consisted of ATRA and anthracycline/ara-C-based induction and consolidation therapy (TAD/HAM–TAD) followed by maintenance therapy as reported previously in younger APL pts (Lengfelder et al. Leukemia 2009;23:2248–2258). In pts ≥60 years (y), the administration of the second induction cycle (HAM with an age adapted cumulative ara-C dose of 6g/sqm) was at the discretion of the treating physician. After December 2005, the pts were included in the ongoing APL protocol and randomized between the AMLCG strategy and the protocols of the Spanish PETHEMA. Among 295 adult pts with newly diagnosed APL, 83 pts (28%) were ≥60y of age. Seventeen elderly pts (20%) were not enrolled in the study, due to death before start of therapy, contraindications against chemotherapy or concomitant other malignancy. Eleven pts randomized in the PETHEMA arm were excluded from the present analysis to cover homogeneity of therapy. In 53 of 55 pts treated according to the AMLCG protocol, results are available. Median age was 67 y (range 60 to 83); 58% were male, 42% female; 68% had low/intermediate and 32% high risk according to Sanz score. Morphology was FAB M3 in 62%, M3v in 38%. Cytogenetics showed t(15;17) alone in 52%, and combination with other abnormalities in 48% of pts. The bcr1/bcr2 transcript of PML/RARA was found in 41% and the bcr3 transcript in 59% of pts. Forty-four pts (83%) achieved complete remission (CR). Early death (ED) occurred in 9 pts (17%). Median time to ED was 12 days (range 2 to 19) after start of therapy. Causes of ED were bleeding, multi-organ failure and sepsis. Manifest APL differentiation syndrome occurred in 25% of pts and WHO grade '3 bleeding, fever/infection or cardiac failure in 8%, 43% and 17% of pts, respectively. After consolidation therapy, 96% of pts were in molecular remission. After a median follow up of 5.3 y (1 day to 12.8 y), the 6-year overall (OS), event free (EFS) and relapse free survival (RFS) and the cumulative incidence of relapse (CIR) were 45%, 41%, 50% and 26%, respectively. The outcome was further analyzed according to risk group, number of induction cycles, and age ≥60y to 69y and ≥70y. Pts with pretreatment white blood cell (WBC) count 〈 10 × 109/L (low/intermediate risk; n=36) had a significantly superior outcome compared to pts with high WBC counts (high risk; n=17) resulting in a CR rate of 92% vs. 65% and ED rate of 8% vs. 35%, respectively (p=0.02). The 6-year OS, EFS, RFS and CIR of the low/intermediate risk pts was 56%, 53%, 60% and 14%, respectively, compared to 25%, 15%, 23% and 58% in high risk pts (p=0.006, p=0.0004; p=0.008; p 〈 0.01). All 12 pts, who had received two induction cycles achieved CR, and no relapse occurred so far resulting in a significantly superior outcome compared to patients, who had received only one induction cycle (OS: p=0.007; EFS: p=0.0002; RFS: p=0.01). In the pts '70y (n=17), 71% entered CR and 29% died from ED. Separated according to low and high WBC counts, the CR rate of this group was 83% vs. 40% and the ED rate 17% vs. 60% (p=0.07), respectively, resulting in an inferior OS (p=0.08) of the pts with high WBC count. Conclusions: Among our elderly pts, we found a high proportion of pts with high risk profile and a high rate of exclusion from the study due to death before the start of therapy or poor condition. In patients included in our study, high WBC count and advanced age are associated with a high risk of ED. The inferior outcome in pts, who received only one induction cycle, suggests that intensification of chemotherapy should be considered in elderly APL pts, if possible. The incorporation of arsenic trioxide might be an alternative, which could be investigated in future trials. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V118.21.425.425
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    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
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  • 4
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    Impact of Balanced or Unbalanced Karyotype At Diagnosis On Prognosis of CML: Long-Term Observation From 1346 Patients of the Randomized CML Study IV
    American Society of Hematology ; 2012
    In:  Blood Vol. 120, No. 21 ( 2012-11-16), p. 913-913
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    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 913-913
    Abstract: Abstract 913 Introduction: Acquired genetic instability in chronic myeloid leukemia (CML) as a consequence of the translocation t(9;22)(q34;q11) and the resulting BCR-ABL fusion causes the continuous acquisition of additional chromosomal aberrations and mutations and thereby progression to accelerated phase (AP) and blast crisis (BC). At least 10% of patients in chronic phase (CP) CML show additional alterations at diagnosis. This proportion rises during the course of the disease up to 80% in BC. Acquisition of chromosomal changes during treatment is considered as a poor prognostic indicator, whereas the impact of chromosomal aberrations at diagnosis depends on their type. Patients with major route additional chromosomal alterations (major ACA: +8, i(17)(q10), +19, +der(22)t(9;22)(q34;q11) have a worse outcome whereas patients with minor route ACA show no difference in overall survival (OS) and progression-free survival (PFS) compared to patients with the standard translocation, a variant translocation or the loss of the Y chromosome (Fabarius et al., Blood 2011). However, the impact of balanced vs. unbalanced (gains or losses of chromosomes or chromosomal material) karyotypes at diagnosis on prognosis of CML is not clear yet. Patients and methods: Clinical and cytogenetic data of 1346 evaluable out of 1544 patients with Philadelphia and BCR-ABL positive CP CML randomized until December 2011 to the German CML-Study IV, a randomized 5-arm trial to optimize imatinib therapy by combination, or dose escalation and stem cell transplantation were investigated. There were 540 females (40%) and 806 males (60%). Median age was 53 years (range, 16–88). The impact of additional cytogenetic aberrations in combination with an unbalanced or balanced karyotype at diagnosis on time to complete cytogenetic and major molecular remission (CCR, MMR), PFS and OS was investigated. Results: At diagnosis 1174/1346 patients (87%) had the standard t(9;22)(q34;q11) only and 75 patients (6%) had a variant t(v;22). In 64 of 75 patients with t(v;22), only one further chromosome was involved in the translocation; In 8 patients two, in 2 patients three, and in one patient four further chromosomes were involved. Ninety seven patients (7%) had additional cytogenetic aberrations. Of these, 44 patients (3%) lacked the Y chromosome (-Y) and 53 patients (4%) had major or minor ACA. Thirty six of the 53 patients (2.7%) had an unbalanced karyotype (including all patients with major route ACA and patients with other unbalanced alterations like -X, del(1)(q21), del(5)(q11q14), +10, t(15;17)(p10;p10), -21), and 17 (1.3%) a balanced karyotype with reciprocal translocations [e.g. t(1;21); t(2;16); t(3;12); t(4;6); t(5;8); t(15;20)]. After a median observation time of 5.6 years for patients with t(9;22), t(v;22), -Y, balanced and unbalanced karyotype with ACA median times to CCR were 1.05, 1.05, 1.03, 2.58 and 1.51 years, to MMR 1.31, 1.51, 1.65, 2.97 and 2.07 years. Time to CCR and MMR was longer in patients with balanced karyotypes (data statistically not significant). 5-year PFS was 89%, 78%, 87%, 94% and 69% and 5-year OS 91%, 87%, 89%, 100% and 73%, respectively. In CML patients with unbalanced karyotype PFS (p 〈 0.001) and OS (p 〈 0.001) were shorter than in patients with standard translocation (or balanced karyotype; p 〈 0.04 and p 〈 0.07, respectively). Conclusion: We conclude that the prognostic impact of additional cytogenetic alterations at diagnosis of CML is heterogeneous and consideration of their types may be important. Not only patients with major route ACA at diagnosis of CML but also patients with unbalanced karyotypes identify a group of patients with shorter PFS and OS as compared to all other patients. Therefore, different therapeutic options such as intensive therapy with the most potent tyrosine kinase inhibitors or stem cell transplantation are required. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Equity Ownership. Hochhaus:Novartis, BMS, MSD, Ariad, Pfizer: Consultancy Other, Honoraria, Research Funding. Müller:Novartis, BMS: Consultancy, Honoraria, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V120.21.913.913
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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  • 5
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    Secondary Malignancies in CML Patients – Data From the German CML Study IV
    American Society of Hematology ; 2012
    In:  Blood Vol. 120, No. 21 ( 2012-11-16), p. 3746-3746
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    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 3746-3746
    Abstract: Abstract 3746 Introduction: The increase of overall survival in chronic myeloid leukemia (CML) requires closer long-term observation in the face of a potential carcinogenicity of tyrosine kinase inhibitors (TKIs). Preclinical studies with imatinib in rats showed neoplastic changes in kidneys, urinary bladder, urethra, preputial and clitoral glands, small intestine, parathyroid glands, adrenal glands, and nonglandular stomach. Two epidemiologic studies on patients with chronic myeloproliferative neoplasms (CMPN) and CML (Frederiksen H et al., Blood 2011; Rebora P et al., Am J Epidemiol 2010) found an increased risk of secondary malignancies compared with the general population independent of treatment. In contrast, in a recent analysis of patients with CML and CMPN treated with TKI (Verma D et al., Blood 2011) a decreased risk of secondary malignancies was reported. Aims: To further elucidate the risk of TKI treated CML patients for the development of secondary malignancies we analysed data of the CML study IV, a randomized 5-arm trial (imatinib 400 mg vs. imatinib 800 mg vs. imatinib 400 mg in combination with interferon alpha vs. imatinib 400 mg in combination with AraC vs. imatinib 400 mg after interferon failure). Patients and methods: From February 2002 to April 2012, 1551 CML patients in chronic phase were randomized, 1525 were evaluable. Inclusion criteria allowed the history of primary cancer if the disease was in stable remission. Forty-nine malignancies were reported in 43 patients before the diagnosis of CML. If relapses occurred within 5 years after diagnosis of primary cancer they were not considered for further analysis. Median follow-up was 67.5 months. Age-standardized incidence rates were calculated from the age-specific rates using the European standard population (1976). Results: In total, 67 secondary malignancies in 64 patients were found in CML patients treated with TKI (n=61) and interferon alpha only (n=3). Twelve of these patients developed neoplasms after diagnosis of a primary cancer before diagnosis of CML, 5 patients with metastases or recurrence of the first malignancy (range of diagnosis 5–19 years after primary cancer). Median time to secondary malignancy was 2.5 years (range 0.1–8.3 years). The types of neoplasms were: prostate (n=9), colorectal (n=6), lung (n=6), non Hodgkin's lymphoma (NHL; n=7), malignant melanoma (n=5), skin tumors (basalioma n=4 and squamous cell carcinoma n=1), breast (n=5), pancreas (n=4), kidney (n=4), chronic lymphocytic leukemia (n=3), head and neck (n=2), biliary (n=2), sarcoma (n=2), and esophagus, stomach, liver, vulva, uterus, brain, cancer of unknown origin (each n=1). With these numbers the age-standardized incidence rates of secondary malignancies in CML patients were calculated: 534 cases per 100,000 for men (confidence interval [350;718]), and 582 for women (confidence interval [349;817] ). The incidence rates of the general population in Germany were 450 and 350 cases, respectively (“Krebs in Deutschland 2007/2008”, 8th ed., Robert Koch Institute, 2012). The incidence rate of NHLs was higher for CML patients than for the general population but this is not significant. Conclusions: In our cohort, the incidence rate of secondary neoplasms in CML patients was slightly increased compared to the general population. The most common secondary malignancies in CML patients under treatment were cancers of the skin, prostate, colon, lung and NHL. Since the occurrence of secondary neoplasia increases over time, long-term follow-up of CML patients is warranted. Disclosures: Müller: Novartis, BMS: Consultancy, Honoraria, Research Funding. Hochhaus:Novartis, BMS, MSD, Ariad, Pfizer: Consultancy Other, Honoraria, Research Funding. Hehlmann:Novartis: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V120.21.3746.3746
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    XA 33000
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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  • 6
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    Comparing the Prognostic Significance of Early Predictors of Survival in Chronic Myeloid Leukemia (CML) Treated with Imatinib - an Analysis of the Randomized CML-Study IV
    American Society of Hematology ; 2014
    In:  Blood Vol. 124, No. 21 ( 2014-12-06), p. 156-156
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    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 156-156
    Abstract: Introduction: Early prediction of outcome using response-related predictive landmarks has become a major paradigm in the clinical management of chronic myeloid leukemia (CML). Several studies have shown the predictive impact of 10% BCR-ABLIS at 3 and 6 months for different tyrosine kinase inhibitors. The question, which landmark should define treatment failure and determine treatment intervention has been discussed vividly. However, an objective analysis of quality criteria for different early prognostic landmarks is lacking up to now. Here we compare sensitivity, specificity and the proportion of later disease progressions predicted by 3-month and 6-month landmarks in imatinib-treated patients of the CML-study IV. Methods: A total of 1,303 newly diagnosed patients were assigned to an imatinib-based treatment arm of CML-Study IV by April 2010. Median follow-up was 7.1 years. The number of molecular assessments was as follows: n=789 (at 6 months), n=692 (at 3 months) and n=301 (at 3 months and at diagnosis, without pretreatment). Gene expression levels were determined by quantitative RT-PCR. At 3 and 6 months, a BCR-ABL ratio was calculated using ABL as reference gene and standardized according to the international scale (BCR-ABLIS). In addition, at 3 months and at diagnosis a BCR-ABL ratio was calculated using beta-glucuronidase (GUS) as reference gene in order to ensure linearity of measurement at diagnosis. The log reduction at 3 months was calculated from the BCR-ABL ratio at 3 months and at diagnosis. Due to the time-dependent nature of censored survival data, the sensitivity and specificity at eight years were calculated using the method by Heagerty et al. (Biometrics 2000). Overall survival (OS) is defined by the absence of death from any reason, progression-free survival (PFS) is defined as survival in the absence of progression to accelerated or blastic phase. Landmark analyses were performed to compare survival outcomes according to Kaplan-Meier. Results:Comparing the 10% BCR-ABLIS landmark at 3 and 6 months, 8-year OS and PFS rates are equal or comparable (table). In contrast, sensitivity and specificity differ substantially with an advantage in favor of sensitivity for the 3-month landmark and in favor of specificity for the 6-month landmark. This difference is paralleled by a smaller proportion of high-risk patients and less progressions identified by the 6-month landmark. From a clinical point of view the 6-month landmark is not only less than half as sensitive, moreover a treatment intervention at 6 months might also prevent less progressions due to the delay of 3 months. The half-log reduction landmark at 3 months is as sensitive as 10% BCR-ABLIS at the same time. However, it shows improved specificity and defines the smallest proportion of high-risk patients. Conclusion: The 10% BCR-ABLIS landmark, which is currently defining treatment failure at 6 months according to European LeukemiaNet (ELN) criteria, fails to detect the majority of patients with later disease progression. Less than a half-log reduction of individual baseline BCR-ABL transcript levels at 3 months on treatment identifies patients with later progressions as sensitive but with higher specificity as compared to 10% BCR-ABLIS. Abstract 156. Table Prognostic landmark 8-year OS (%) 8-year PFS (%) P-value for PFS Sensitivity to predict progression (%) Specificity to predict progression (%) High-risk patients Disease progressions classified as high-risk / total 3 months (n=692) 10% BCR-ABLIS 88 vs. 96 82 vs. 90 0.001 41.1 74.6 191 (28%) 32/74 (43%) 6 months (n=789) 10% BCR-ABLIS 88 vs. 96 84 vs. 95 0.001 18.2 93.8 95 (12%) 17/74 (23%) 1% BCR-ABLIS 90 vs. 97 89 vs. 97 〈 0.001 39.6 68.6 291 (37%) 46/74 (62%) 3 months (n=301) 0.5-log reduction 81 vs. 95 75 vs. 94 〈 0.001 42.6 86.9 48 (16%) 10/24 (42%) Disclosures Hanfstein: Novartis: Research Funding; Bristol-Myers Squibb: Honoraria. Hehlmann:Novartis: Research Funding; Bristol-Myers Squibb: Research Funding. Saussele:Novartis: Honoraria, Research Funding, Travel Other; Bristol-Myers Squibb: Honoraria, Research Funding, Travel, Travel Other; Pfizer: Honoraria, Travel, Travel Other. Schnittger:MLL Munich Leukemia Laboratory: Equity Ownership. Neubauer:MedUpdate: Honoraria, Speakers Bureau. Kneba:Novartis: Consultancy, Equity Ownership, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Pfirrmann:Novartis: Consultancy; Bristol-Myers Squibb: Honoraria. Hochhaus:Novartis: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria; ARIAD: Honoraria, Research Funding; Pfizer: Consultancy, Research Funding. Müller:Novartis: Honoraria, Research Funding; Bristol Myers Squibb: Honoraria, Research Funding; ARIAD: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V124.21.156.156
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
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  • 7
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    Impact of additional cytogenetic aberrations at diagnosis on prognosis of CML: long-term observation of 1151 patients from the randomized CML Study IV
    American Society of Hematology ; 2011
    In:  Blood Vol. 118, No. 26 ( 2011-12-22), p. 6760-6768
    Details
    In: Blood, American Society of Hematology, Vol. 118, No. 26 ( 2011-12-22), p. 6760-6768
    Abstract: The prognostic relevance of additional cytogenetic findings at diagnosis of chronic myeloid leukemia (CML) is unclear. The impact of additional cytogenetic findings at diagnosis on time to complete cytogenetic (CCR) and major molecular remission (MMR) and progression-free (PFS) and overall survival (OS) was analyzed using data from 1151 Philadelphia chromosome–positive (Ph+) CML patients randomized to the German CML Study IV. At diagnosis, 1003 of 1151 patients (87%) had standard t(9;22)(q34;q11) only, 69 patients (6.0%) had variant t(v;22), and 79 (6.9%) additional cytogenetic aberrations (ACAs). Of these, 38 patients (3.3%) lacked the Y chromosome (−Y) and 41 patients (3.6%) had ACAs except −Y; 16 of these (1.4%) were major route (second Philadelphia [Ph] chromosome, trisomy 8, isochromosome 17q, or trisomy 19) and 25 minor route (all other) ACAs. After a median observation time of 5.3 years for patients with t(9;22), t(v;22), −Y, minor- and major-route ACAs, the 5-year PFS was 90%, 81%, 88%, 96%, and 50%, and the 5-year OS was 92%, 87%, 91%, 96%, and 53%, respectively. In patients with major-route ACAs, the times to CCR and MMR were longer and PFS and OS were shorter (P 〈 .001) than in patients with standard t(9;22). We conclude that major-route ACAs at diagnosis are associated with a negative impact on survival and signify progression to the accelerated phase and blast crisis.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood-2011-08-373902
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
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  • 8
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    An Optimized Risk Stratification Model in Acute Promyelocytic Leukemia Identifies Patients with an Exceptionally Good Prognosis Regarding the Incidence of Relapse
    American Society of Hematology ; 2014
    In:  Blood Vol. 124, No. 21 ( 2014-12-06), p. 72-72
    Details
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 72-72
    Abstract: Introduction: Risk stratification in acute promyelocytic leukemia (APL) is based on the easily accessible Sanz-Score, which combines leukocyte and platelet counts at initial diagnosis. This score showed significant differences in relapse-free survival (RFS) of APL patients in various studies and is currently used to determine whether a patient can be treated with ATRA and ATO alone or needs additional chemotherapy. However, to make therapeutic decisions based on a risk stratification system derived from the endpoint RFS bears the drawback that relapses are rare in APL and most events are deaths in complete remission (CR), which can be therapy related (e.g. toxicity). The cumulative incidence of relapse (CIR) therefore seems to be a better parameter for decision making with regard to therapy intensity. In this study, we optimized a risk score combining data on gene expression of BAALC (brain and acute leukemia, cytoplasmic), ERG (ets’ related gene) and WT1 (Wilms’ tumor 1) to retrospectively predict the CIR of APL patients. Methods: Data on BAALC, ERG and WT1 expression levels of 79 patients with newly diagnosed APL were obtained from bone marrow mononuclear cells using quantitative real-time RT-PCR in preceding studies. The following gene expression levels were identified as negative risk factors: BAALC expression ≥25th percentile (BAALChigh), ERG expression 〉 75th percentile (ERGhigh) and WT1 expression ≤25th percentile or ≥75th percentile (WT1low or high). As ERGhigh was the only independent predictor for relapse in multivariate analysis with a hazard ratio (HR) of 11.6, its predictive weight was regarded superior, respectively . Cut-off analyses were performed to determine the optimal ERG expression level cut-off for risk of relapse. Accordingly, the new cut-off for high ERG expression was set at ≥62nd percentile (optimized ERGhigh: optERGhigh; Sensitivity: 1.0, Specificity: 0.71). A combined risk score was developed as follows: For the presence of one of the mentioned risk factors, one scoring point was assigned to a respective patient, i.e. a maximum of 3 points (one point for BAALChigh, optERGhigh and WT1low or high, respectively) and a minimum of 0 points (i.e. presenting with none of the aforementioned risk factors) could be allocated to one patient. Accordingly, patients were divided into two risk groups: 34 patients scored 0-1 points and 45 patients scored 2-3 points. CIR, overall survival (OS) and RFS were calculated using the Kaplan-Meier method and a log-rank test was used to compare differences between the two risk groups (p 〈 0.05). Results: Patients with 2-3 points had a CIR of 18% at 10 years of follow-up whereas none of the patients with 0-1 points suffered a relapse (CIR: 0%; p=0.02; Fig. 1). All relapses occurred between 8.4 months and 3.5 years after first CR. Moreover, OS and RFS also differed significantly between the two risk groups: OS was 53% for patients with 2-3 points vs. 85% for patients with 0-1 points (p=0.004); RFS was 49% vs. 93%, respectively (p 〈 0.0001). In multivariate analysis the optimized combined risk score was the strongest independent risk factor for every endpoint. Conclusion: The combination of expression levels of BAALC, ERG and WT1 into a risk score identified a group of patients at high risk for relapse which could benefit from close monitoring resulting possibly in an early intervention when molecular relapse is detected. On the other hand, it identified a low risk group with very good outcome and no APL-related events after patients had achieved first CR. A molecular risk score focusing on relapse risk might be a promising approach to guide therapeutic decisions in the future. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V124.21.72.72
    RVK:
    XA 33000
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
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  • 9
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    Different Impact of Expression Levels of IGFBP2 and IGFBP7 on Survival and Relapse Rate in Acute Promyelocytic Leukemia
    American Society of Hematology ; 2015
    In:  Blood Vol. 126, No. 23 ( 2015-12-03), p. 1382-1382
    Details
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 1382-1382
    Abstract: Introduction: Insulin-like growth factor binding proteins (IGFBP) are carriers of insulin-like growth factors (IGFs). They prolong their half-life and modulate their availability and activity. The IGF-signaling system has been shown to have an important role in various solid cancers and hematologic malignancies. High levels of IGFBP2 and IGFBP7 have been associated with chemoresistance, relapse and inferior survival in different leukemias. Acute promyelocytic leukemia (APL) is a distinct subtype of acute myeloid leukemia (AML), which has been reported to have increased expression of IGFBP2. However, there is no data on its impact on prognosis. In addition, no data exist on IGFBP7 in APL. The aim of this study was to elucidate the influence on prognosis of both candidate genes in APL patients. Methods: Expression levels of IGFBP2 und IGFBP7 were retrospectively analysed in bone marrow (BM) samples at the time of initial diagnosis from 69 APL patients (42 female, 27 male) after informed consent. Median age of patients was 46 years (range 19 to 82 years). All patients were diagnosed and treated in the German AML Cooperative Group (AMLCG) studies. Treatment consisted of simultaneous ATRA and double induction chemotherapy including high dose ara-C, one cycle of consolidation chemotherapy and 3 years monthly maintenance chemotherapy. In patients older than 60 years, the second induction cycle was at the discretion of the treating physician. Three patients (4%) received an induction of ATRA and an anthracycline without ara-C. BM samples of 22 healthy volunteers served as a control group. Multiplex reverse transcriptase quantitative real-time PCR (qRT-PCR) was performed on a LightCycler® 480 (Roche, Mannheim, Germany) PCR system. Glucose-6-phosphat isomerase was used as a housekeeping gene. For quantification of relative expression values a modified delta-delta CT calculation model according to Pfaffl was used after determination of PCR efficiencies. cDNA from the cell line K562 served as a calibrator in each run. All reactions were performed in triplicates. IGFBP2 expression groups were defined as follows: Patients with IGFBP2 expression below or equal the 25th percentile (IGFBP2low) were compared to patients with higher IGFBP2 expression (IGFBP2high). Overall survival (OS), relapse free survival (RFS) and the cumulative incidence of relapse (CIR) were calculated using the Kaplan-Meier method and a log-rank test was used to compare differences between the groups (p 〈 0.05). Results: Expression levels of IGFBP2 did not differ between APL patients and healthy controls. However, there was a significantly higher relapse rate in APL patients with low IGFBP2 expression (CIR: 25% in the IGFBP2low group vs. 5% in the IGFBP2high group; p=0.04). Accordingly, RFS of patients in the IGFBP2low group was also inferior (41% vs. 81% in the IGFBP2high group; p=0.0002; Fig. 1). The OS of patients who had responded to induction therapy was also influenced by IGFBP2 expression (OS of responders: 61% for IGFBP2low vs. 83% for IGFBP2high; p=0.02). However, there was no significant difference in the analysis of OS of all patients including patients who suffered early death. In contrast to these findings, IGFBP7 was expressed significantly lower in APL patients compared to healthy controls (p 〈 0.0001) but there was no association with outcome of APL patients. Conclusion: Of the two analysed IGFBP family members only IGFBP2 showed impact on the prognosis of APL patients. Remarkably, IGFBP2 was not overexpressed compared to healthy controls in our patient cohort. The reason might be that whole BM samples of healthy controls were used instead of subpopulations. Still, among the APL patients cohort its expression showed a strong influence on prognosis especially on relapse rate and RFS. To find low expression as a negative prognostic marker is surprising as for leukemias only high expression has been reported as a negative factor. However, IGFBP2 has been proposed to suppress tumor development through binding IGFs and preventing IGF-receptor driven tumorigenesis. This is supported by the fact that the IGFBP2 promotor is hypermethylated in various types of cancer. In summary, we identified low IGFBP2 expression as a novel prognostic marker for APL. Further investigations are warranted to clarify its possible role in leukemia. Figure 1. Figure 1. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V126.23.1382.1382
    RVK:
    XA 33000
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2015
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  • 10
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    A Risk Score Integrating BAALC, ERG and WT1 Expression Can Be Used To Improve Risk Stratification In Acute Promyelocytic Leukemia
    American Society of Hematology ; 2013
    In:  Blood Vol. 122, No. 21 ( 2013-11-15), p. 1323-1323
    Details
    In: Blood, American Society of Hematology, Vol. 122, No. 21 ( 2013-11-15), p. 1323-1323
    Abstract: With current therapy regimens over 75% of patients with de novo acute promyelocytic leukemia (APL) can be cured. Approaches to further improve patient outcome by stratifying patients at the time of initial diagnosis according to their individual risk and to adjust therapy accordingly have been based on clinical features only. Molecular markers have not been established for risk stratification as yet. Recently, we have shown that high expression levels of the genes brain and acute leukemia, cytoplasmic (BAALC) and ets related gene (ERG) are associated with inferior outcome in APL patients. In addition, data indicate that aberrant expression of the gene Wilms’ tumor 1 (WT1) is a negative prognostic factor with regard to overall survival (OS) after complete remission (CR) and relapse free survival (RFS) in APL. In this study we evaluated the prognostic relevance of a combined score integrating the expression levels of the above mentioned genes to further improve risk stratification in APL patients. Methods Expression levels of BAALC, ERG and WT1 of 62 patients with newly diagnosed APL were retrospectively analyzed in bone marrow mononuclear cells using multiplex reverse transcriptase quantitative real-time PCR (qRT-PCR). Median age of patients was 47 years (range: 19 to 82y). All patients gave informed consent. Patients were diagnosed and treated in the German AML Cooperative Group (AMLCG) study with a treatment of simultaneous ATRA and double induction chemotherapy including high-dose ara-C, consolidation and maintenance chemotherapy. The following gene expression levels were identified as negative risk factors in preceding studies: BAALC expression ≥25th percentile (BAALChigh), ERG expression 〉 75th percentile (ERGhigh) and WT1 expression ≤25th percentile or ≥75th percentile (WT1low/high). A risk score was developed as follows: for the presence of one of the mentioned risk factors one scoring point was assigned to a respective patient, i.e. a maximum of 3 points (one point for BAALChigh, ERGhigh and WT1low/high, respectively) and a minimum of 0 points (i.e. presenting with none of the aforementioned risk factors) could be allocated to one patient. Accordingly, patients were divided into four risk groups: 7 patients scored 0 points (= low risk), 27 patients scored 1 point (= intermediate 1 risk), 19 patients scored 2 points (= intermediate 2 risk) and 9 patients scored 3 points (= high risk). Subsequently, OS, RFS and relapse free interval (RFI) were calculated using the Kaplan-Meier method and a log-rank test was used to compare differences between the four risk groups (p 〈 0.05). Results The integrative risk score divided patients into four groups with significantly different outcome. The low risk group showed a RFS of 100% at 10 years of follow-up compared to the intermediate 1 risk group with 81%, the intermediate 2 risk group with 58% and the high risk group with a RFS of 42% only (median survival: 4.6y) (p=0.02). In accordance, the RFI differed significantly between the four groups: low risk 100%, intermediate 1 risk 100%, intermediate 2 risk 89% and high risk 71% (p=0.049). There was no statistically significant difference between the 4 groups with regard to OS in the entire patient cohort. However, there was a clear trend towards a difference in OS in patients who achieved a CR after induction therapy: low risk 100%, intermediate 1 risk 81%, intermediate 2 risk 68% and high risk 53% survival at 10 years of follow-up (p=0.09). Conclusion Integration of expression levels of the genes BAALC, ERG and WT1 into a scoring system identifies 4 risk groups with significantly different outcome with regard to RFS and RFI. It might be a promising approach to guide therapeutic decisions in patients with APL. However, multivariate analyses and validation of these data in an independent patient cohort is warranted. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V122.21.1323.1323
    RVK:
    XA 33000
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2013
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