Prognostic Value of “Monosomal Karyotype” in Comparison to “Complex Aberrant Karyotype” in AML: A Study on 824 Cases with Aberrant Karyotype

Abstract Abstract 418 Background: Several classifications based on cytogenetics have been proposed in AML. Typically 3 major categories for prognostication are defined: favorable, intermediate and unfavorable. The assignment to the unfavorable group shows minor differences between the different cytogenetic classifications currently used, however certain cytogenetic subgroups are assigned to the unfavorable subgroup concordantly: −5/5q−, 7q−/−7, −17/abn17p, inv(3)(q21q26)/t(3;3)(q21;q26) and complex karyotype (CK). With respect to CK 3 definitions are used: ≥3, ≥4 or ≥5 unrelated abnormalities. Recently, a so-called “monosomal karyotype” (MSK) defined as a karyotype showing “two or more distinct autosomal chromosome monosomies or one single autosomal monosomy in the presence of structural abnormalities” was introduced (Breems et al. JCO 2008). It was suggested that patients with MSK have a poor outcome being even inferior to CK. Aim: We here evaluated the prognostic power of differently defined cytogenetic subsets in order to identify the best definition for the prognostically most unfavorable subgroup. Patients: From our initial cohort of newly diagnosed AML (n=1,959) patients with t(15;17), t(8;21) or inv(16) (n=170) and AML with normal karyotype (n=965) were excluded. Thus, 824 patients with cytogenetic abnormalities remained for further investigation. Results: 428/824 (51.9%) patients showed an intermediate risk karyotype according to revised MRC criteria (MRC-I) (Grimwade et al. Blood 2010), while the remaining 396/824 (48.1%) cases belonged to the unfavorable MRC group (MRC-U). 162/824 cases (19.7%) fulfilled the criteria of MSK. According to MRC, 4 of these 162 cases with MSK were classified MRC-I while 158 were classified MRC-U. The overlap in classification between CK and MRC-U differed depending on the number of aberrations used to define CK. As such, the number of cases with CK was 272 (33.0%; MRC-I: 17, MRC-U: 255) using ≥3 clonal aberrations, and decreased to 222 (26.9%; all MRC-U) patients using ≥4 clonal aberrations or 196 (23.8%; all MRC-U) cases when applying the criterion of ≥5 clonal aberrations, respectively. Univariate Cox regression analysis revealed that unfavorable cytogenetics as defined by MRC-U, MSK, CK defined as ≥3, ≥4 or ≥5 unrelated abnormalities were all significantly associated with inferior OS as compared to the respective remaining intermediate group (for all p<0.001). Hazard ratios were 1.61, 1.93, 1.68, 1.94, and 1.92, respectively. Median OS in the respective categories was 8.5, 5.7, 6.3, 5.7, and 5.7 months, respectively. We then performed further analyses within the unfavorable risk group defined according to MRC and tested the impact of the 4 definitions for unfavorable subsets. In each comparison the median OS was significantly shorter for the subset with MSK, or CK defined as ≥3, '4 or ≥5 unrelated abnormalities as compared to the remaining MRC-U cases (5.7 vs 11.7 mo p=0.005; 6.3 vs 10.6 mo, p=0.031; 5.7 vs 11.0 mo, p=0.003; 5.7 vs 10.9 mo, p=0.006). Furthermore OS of patients within MRC-U excluding cases with MSK, or CK with ≥3, ≥4 or ≥5 unrelated abnormalities did not differ from patients with cytogenetic abnormalities assigned to MRC-I (median OS 11.7, 10.6, 11.0 and 10.9 mo, respectively vs 21.1 mo, p=0.072, p=0.16, p=0.28, and p=0.11, respectively). Within the MRC-U cohort only 124 cases fulfilled both criteria: MSK and CK≥4 (median OS 5.3 mo), 97 were CK≥4 only (median OS 6.3 mo) and 35 MSK only (median OS 6.7 mo). OS did not differ between these 3 subgroups but was significantly shorter for all comparisons to patients included in none of these subgroups (p<0.001, p=0.009, p=0.012, respectively). On the other hand OS of the 33 cases with 3 unrelated abnormalities did not differ from MRC-U cases with 1 or 2 abnormalities (18.9 vs 10.6, p=0.48). Conclusions: All definitions of very poor risk AML patients allow to identify a subset within MRC-U that shows significantly shorter OS than the remaining MRC-U cases. However, “complex karyotype defined as ≥4 unrelated abnormalities” is the best parameter as it identifies the largest proportion of very poor risk patients. Even more important, the application of the monosomal karyotype for prognostication and clinical guidance in AML misses 24.5% of the very poor risk patients identified based on CK ≥4. This may lead to suboptimal treatment decisions in this clinically proven very high risk patients. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Alpermann:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Download Full-text

Azacitidine (AZA) Prolongs Overall Survival in Older Patients with Acute Myeloid Leukemia (AML) with Poor Prognostic Karyotypes Compared with Conventional Care Regimens (CCR)

Blood ◽

10.1182/blood.v128.22.1638.1638 ◽

2016 ◽

Vol 128 (22) ◽

pp. 1638-1638 ◽

Cited By ~ 2

Author(s):

Hartmut Döhner ◽

Paresh Vyas ◽

John F. Seymour ◽

Valeria Santini ◽

Richard M. Stone ◽

...

Keyword(s):

Overall Survival ◽

Board Of Directors ◽

Older Patients ◽

Research Funding ◽

Complex Karyotype ◽

Employment Equity ◽

Advisory Committees ◽

Cytogenetic Abnormalities ◽

Poor Risk ◽

Equity Ownership

Abstract Background: Karyotype is the strongest independent prognostic factor for survival in AML. The randomized phase 3 AZA-AML-001 study of older patients with AML showed AZA prolonged overall survival (OS) compared with CCR (10.4 vs 6.5 months, respectively; P=0.101) (Dombret et al, Blood, 2015). In a prospective subanalysis of the study, AZA was shown to meaningfully prolong OS by 3.2 months compared with CCR (P=0.0185) in the subgroup of patients with NCCN-defined poor-risk cytogenetics (Döhner et al, Blood, 2014: Abstract 621). Aim: This analysis evaluates treatment effects of AZA vs CCR on OS in subgroups of patients with specific cytogenetic abnormalities as well as in patient subgroups defined by cytogenetic risk per modified European LeukemiaNet (ELN) recommendations (not considering molecular markers) (Döhner et al, Blood, 2010). Methods: Patients aged ≥65 years with newly diagnosed AML (>30% bone marrow [BM] blasts), ECOG performance status score ≤2, intermediate- or poor-risk cytogenetics per NCCN 2009 criteria, and WBC count ≤15x109/L were randomized to receive AZA (75 mg/m2/day [d] x7d/28d) or CCR: intensive chemotherapy (cytarabine 100-200mg/m2IV x7d + anthracycline IV x3d induction), low-dose ara-C (20mg SC BID x10d/28d), or best supportive care only. Karyotypes obtained from BM were reviewed centrally by an independent cytogeneticist. OS was evaluated in subgroups of patients with frequent specific abnormalities, including -5/del(5q), -7, -7/del(7q), abnormal (17p) or complex karyotype (based on specific abnormalities, patients may have been evaluated in more than one category). OS was also assessed for patients in ELN-defined karyotype risk subgroups: Intermediate (Int)-I (normal karyotype), Int-II (all abnormalities not classified as Favorable or Adverse), and Adverse karyotype. OS was assessed using Kaplan-Meier methods and compared using a weighted log-rank test. Results: Centrally reviewed cytogenetic data were available for 485/488 patients (99.4%). In all, 220 patients (45.4%; AZA n=114, CCR n=106) had Int-I karyotype, 111 patients (22.9%; AZA n=53, CCR n=58) had Int-II karyotype, and 154 patients (31.8%, AZA n=73, CCR n=81) had Adverse karyotype (Figure 1). OS was comparable between AZA and CCR in patients with Int-I karyotype (14.1 vs 10.1 months, respectively; hazard ratio [HR] 0.83, 95%CI 0.60, 1.1; P=0.44) and patients with Int-II karyotype (8.9 vs 9.6 months; HR 1.19, 95%CI 0.79, 1.8; P=0.78). There was a significant 2.4-month median OS difference in favor of AZA in patients with Adverse karyotype (5.3 vs 2.9 months with CCR; HR 0.71, 95%CI 0.51, 0.99; P=0.046; Figure 2), with 1-year survival rates of 29.1% vs 14.7% for AZA and CCR, respectively. AZA was associated with longer median OS and higher 1-year survival compared with CCR for all subgroups of patients with the specific cytogenetic abnormalities under study: -5/del(5q), -7, -7/del(7q), abnormal (17p), and complex karyotype, with HRs ranging from 0.54 to 0.69(Table). Median OS in the CCR arm was less than 3 months for each of these subgroups. Similar to what has been reported in MDS (Ravandi et al, Cancer, 2009), AML patients with chromosome 7 abnormalities responded particularly well to AZA, with an improvement in median OS of 4.1 months over CCR. Patients with complex karyotypes also had meaningful improvements in OS, with ~15% more AZA-treated patients alive at 1 year than CCR patients. Conclusions: Prognosis is dismal for older AML patients with adverse karyotypes, and is especially poor for patients with complex karyotypes. Median OS and 1-year survival in patients with ELN-defined Adverse karyotype treated with AZA were almost double those of patients treated with CCR. AZA-treated patients with the specific cytogenetic abnormalities and/or complex karyotype in this analysis had a 31-46% reduction in risk of death vs CCR, and proportions of patients alive at 1 year were 11-22% greater with AZA. These data suggest AZA should be the preferred treatment for older patients with AML and adverse karyotypes. Disclosures Seymour: Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Speakers Bureau; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding, Speakers Bureau; Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Santini:Astex: Consultancy; Amgen: Consultancy; Onconova: Consultancy; Novartis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding. Stone:Celator: Consultancy; Novartis: Consultancy; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Xenetic Biosciences: Consultancy; Agios: Consultancy; Amgen: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy; Jansen: Consultancy; Pfizer: Consultancy; ONO: Consultancy; Juno Therapeutics: Consultancy; Merck: Consultancy; Roche: Consultancy; Seattle Genetics: Consultancy; Sunesis Pharmaceuticals: Consultancy. Al-Ali:Celgene: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding. Morrill:Celgene: Employment, Equity Ownership. Songer:Celgene: Employment, Equity Ownership. Weaver:Celgene Corporation: Employment, Equity Ownership. Skikne:Celgene: Employment, Equity Ownership. Beach:Celgene Corporation: Employment, Equity Ownership. Dombret:Agios: Honoraria; Ambit (Daiichi Sankyo): Honoraria; Menarini: Honoraria; Menarini: Honoraria; Servier: Honoraria; Sunesis: Honoraria; Karyopharm: Honoraria; Kite Pharma.: Honoraria, Research Funding; Astellas: Honoraria; Janssen: Honoraria; Seattle Genetics: Honoraria; Roche/Genentech: Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Pfizer: Honoraria; Ariad: Honoraria, Research Funding; Novartis: Honoraria; Celgene: Consultancy, Honoraria; Jazz Pharma: Honoraria, Research Funding.

Download Full-text

In Chronic Lymphocytic Leukemia the Gain of the Short Arm of Chromosome 2 Is Highly Associated with an Unmutated IGHV status, 11q/ATM Deletion, SF3B1 Mutation and a Complex Karyotype

Blood ◽

10.1182/blood.v128.22.4379.4379 ◽

2016 ◽

Vol 128 (22) ◽

pp. 4379-4379

Author(s):

Claudia Haferlach ◽

Sabine Jeromin ◽

Anna Stengel ◽

Manja Meggendorfer ◽

Melanie Zenger ◽

...

Keyword(s):

Multivariate Analysis ◽

Cox Regression ◽

Prognostic Impact ◽

Chromosome 2 ◽

Complex Karyotype ◽

Employment Equity ◽

Cox Regression Analysis ◽

Tp53 Mutations ◽

Equity Ownership

Abstract Background: CLL is characterized by a distinct pattern of translocations, genomic gains and losses and molecular mutations. The most frequent abnormalities such as trisomy 12 and deletions of 6q, 11q, 13q and 17p have been intensively studied. However, data on less frequent recurrent abnormalities such as the partial gain of the short arm of chromosome 2 is lacking. Aims: a) Determine the frequency of 2p gain in CLL, b) Characterize the size and the commonly gained region, c) Analyze the spectrum of additional cytogenetic abnormalities and molecular mutations, and d) Evaluate the prognostic impact. Patients and Methods: Chromosome banding analysis (CBA) revealed a gain of 2p in 113 out of 5564 (2%) CLL cases. In 72 cases with sufficient material genomic array analysis (SurePrint G3 ISCA CGH+SNP Microarray, Agilent, Waldbronn, Germany) and determination of the mutation status of TP53, SF3B1 and IGHV were performed. Results:76% of patients with gain of 2p were male. The median WBC count was 33,700/µL (range: 5,900 - 228,000). Median age was 66 years (range: 29 - 87). The gain of 2p always encompassed the 2p telomere (2pter) while the centromeric border of the 2p gain varied between 2p21 and the centromere of chromosome 2 (2p10) (genomic positions 45,859,076 to 92,297,003). The gain of 2p was the sole chromosomal abnormality in only 8/72 cases (11%) and was accompanied by one, two or more than two additional aberrations in 10, 20, and 34 cases. In total 209 chromosome abnormalities were observed in addition to the 2p gain (median per patient: 2, range: 0-16). Of these only 21 were balanced while 188 were unbalanced abnormalities leading to gain or loss of chromosomal material. Gain of 2p was most frequently accompanied by deletions in 13q (total: 74%, homozygous: 11%), 11q (56%), 18p (18%), and 6q (13%) and gains of 8q (11%). 17p deletions were present in 6% of cases. In 49 cases (68%) the gain of 2p was present in the main clone while it was present in a subclone only in 23 cases (32%). The gain of 2p material was due to a duplication in the short arm of chromosome 2 in 10 cases, while a gain of an isochromosome 2p was present in 3 cases. In the remaining cases material of the short arm of chromosome 2p was attached to a variety of different partner chromosomes. The most frequent acceptor chromosome was chromosome 18 (n=13; 18%). In two cases (2%) 2 IGH rearrangements were observed of which one was mutated and the other unmutated. The IGHV status was unmutated (IGHV-U) in 66 (92%) and mutated in only 4 cases (6%). Three of these 4 cases with mutated IGHV showed only a low mutation rate (sequence homology to germline 97-97.9%). Stereotyped B-cell receptors were present in 14 cases (19%). SF3B1 mutations were observed in 21 cases (29%) with a median mutation load (ML) of 39% (range: 10-51%). TP53 mutations were detected in 8 (11%) cases (median ML: 60%, range: 13-100%). In 2 patients with a TP53 mutation a TP53 deletion was present and in 3 cases a copy neutral loss of heterozygosity (CN-LOH) of 17p was detected leading to TP53 wild-type loss in these 5 cases. TP53 mutations were less frequent in cases harboring the gain of 2p as the sole abnormality (3% vs 21%, p=0.02) The prognostic impact of 2p gain was evaluated in an unselected cohort of 1381 CLL cases with available follow up data (median follow up: 5.1 years) including 22 cases with 2p gain. The frequency of IGHV-Ustatus, SF3B1 mutations and 11q/ATM deletions was significantly higher in CLL with 2p gain compared to cases without (for all p<0.05). In univariate Cox regression analysis gain of 2p was significantly associated with shorter overall survival (OS) (relative risk (RR): 2.1; p=0.05). 5 year OS was 69% in CLL with 2p gain compared to 85% in cases without 2p gain (p=0.05). However, in multivariate analysis only IGHV-U, mutations in SF3B1 and TP53 and TP53/17p deletion were independently associated with shorter OS, while gain of 2p and 11q/ATM deletion were not. 2p gain was associated with shorter time to treatment (TTT) (RR: 2.0; p=0.02). In multivariate analysis only IGHV-U, SF3B1 mutation and 11q/ATM and TP53/17p deletion were independently associated with shorter TTT, while gain of 2p and TP53 mutations were not. Conclusions:CLL with gain of 2p is highly associated with an unmutated IGHV status (92%), a high frequency of 11q/ATM deletion (56%), 13q deletion (74%), SF3B1 mutation (29%) and a complex karyotype (47%). Data suggest that gain of 2p is a later event in CLL pathogenesis and might be a marker of progression. Disclosures Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Jeromin:MLL Munich Leukemia Laboratory: Employment. Stengel:MLL Munich Leukemia Laboratory: Employment. Meggendorfer:MLL Munich Leukemia Laboratory: Employment. Zenger:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Download Full-text

TP53 Mutations Are the Most Unfavorable Genetic Alteration in AML

Blood ◽

10.1182/blood.v120.21.660.660 ◽

2012 ◽

Vol 120 (21) ◽

pp. 660-660 ◽

Cited By ~ 1

Author(s):

Claudia Haferlach ◽

Vera Grossmann ◽

Christiane Eder ◽

Alexander Kohlmann ◽

Wolfgang Kern ◽

...

Keyword(s):

Cox Regression ◽

Close Association ◽

Tp53 Gene ◽

Dominant Negative ◽

Dominant Negative Effect ◽

Complex Karyotype ◽

Cox Regression Analysis ◽

Tp53 Mutations ◽

Equity Ownership ◽

The Impact

Abstract Abstract 660 Background: TP53 is the most frequently mutated gene in cancer. An association of TP53 mutations and adverse prognosis was shown in multiple malignancies. In AML, a high frequency of TP53 alterations has been reported in cases with complex karyotype. However, thus far, a comprehensive study analyzing the impact of TP53 alterations has been lacking. Aims: 1. Determine the frequency of TP53 mutations (TP53mut) and TP53 deletions (TP53del) in a large cohort of AML. 2. Analyze the relation of TP53mut and TP53del with cytogenetics and other molecular mutations. 3. Evaluate the impact of TP53 alterations on outcome. Patients and methods: In 1,000 AML patients (median age 66.8 yrs) the TP53 gene (exons 4–11) was analyzed to detect mutations by either DHPLC with subsequent direct Sanger sequencing (n=190) or a next-generation amplicon deep-sequencing assay (n=810) (454 Life Sciences, Branford, CT). All cases with available material (n=858) were analyzed by interphase FISH for TP53del. In all cases the karyotype was available and categorized according to the refined MRC classification (Grimwade et al., Blood 2010). Cases were also screened for mutations in NPM1 (n=966), CEPBA (n=997), RUNX1 (n=907), ASXL1 (n=937) as well as for FLT3-ITD (n=999) and MLL-PTD (n=952). Clinical follow-up data was available in 841 patients. Results: Frequency of TP53 mutations and deletions: In 115 patients (11.5%) a total of 131 TP53mut were detected. 99 patients showed one and 16 cases two TP53 mutations. Heterozygous deletions of the TP53 gene were detected by FISH in 55/858 (6.4%) patients. In 97/115 cases with TP53mut also the TP53del status was available: 41/97 (42.3%) cases harbored both a TP53mut and a TP53del. 32 of the 56 (57.1%) TP53mut cases without TP53del showed heterozygous and 24 (42.8%) homozygous TP53mut. 13/32 (40.6%) cases with heterozygous mutations harbored two distinct TP53mut, whereas only 19/32 (59.3%) were affected by one mutation suggesting a dominant negative effect of these mutations. In patients with homozygous mutations and no TP53del a copy neutral loss of heterozygosity (CN-LOH) can be assumed. In 2 of these patients SNP microarray data was available revealing in both cases a CN-LOH spanning from 17p11.2 to 17p13.3. Association with cytogenetics and other molecular markers: TP53mut were observed in 1/106 cases with favorable, 12/688 with intermediate (1.7%), and 17/90 (18.9%) with adverse cytogenetics. In cases with complex karyotype TP53mut frequency was 73.3% (85/116). TP53mut were mutually exclusive of CEPBA and NPM1 mutations. In patients harboring TP53mut FLT3-ITD, MLL-PTD, RUNX1 and ASXL1 mutations were detected at low frequencies (2.6%, 4.3%, 7.8% and 4.3%, respectively). TP53del were observed in 2/88 (2.3%) patients with favorable, in 6/601 (1.0%) with intermediate, and in 47/169 (27.8%) cases with adverse cytogenetics. 39/47 (83.0%) patients with adverse cytogenetics and TP53del harbored a complex karyotype. 41/55 (74.5%) cases with TP53del also harbored a TP53mut. Clinical impact: Median OS in patients with TP53mut (n=80) vs TP53 wild-type (wt) cases (n=761) was 4.6 vs 35.6 months (mo) (P<0.001), median EFS was 3.1 vs 13.3 mo (P<0.001); OS and EFS at 3 yrs was 0% vs 49.6% and 0% vs 33.8%. Within the complex karyotype cohort, patients with TP53mut (n=56/80) showed an inferior outcome compared to TP53wt cases (n=24/80) (OS and EFS at 3 yrs: 0% vs 27.9%, P=0.002, 0% vs 25.7%, P=0.002). In univariable Cox regression analyses TP53mut and TP53del were significantly associated with shorter OS (hazard ratio (HR) 3.49; P<0.001 and 2.33; P<0.001). Additionally, in multivariable Cox regression analysis the following parameters were included (which were also significantly associated with OS in univariable analysis): favorable and adverse cytogenetics, complex karyotype, monosomal karyotype, CEPBA double-mutations, NPM1mut/FLT3-ITD-, MLL-PTD, RUNX1, and ASXL1 mutations. Independent prognostic factors were: complex karyotype (HR 1.64, P=0.05), CEPBA double-mutations (HR 0.30; P=0.002), NPM1mut/FLT3-ITD- status (HR 0.62; P=0.004), ASXL1mut (HR 1.46; P=0.016), and TP53mut (HR 2.17; P<0.001). Conclusions: 1. TP53mut occurred in 11.5% and TP53del in 6.4% of AML patients and both showed a close association with adverse karyotype, especially complex karyotype. 2. TP53mut was the parameter with highest risk for adverse outcome compared to any other known genetic risk marker in AML thus far. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Equity Ownership. Grossmann:MLL Munich Leukemia Laboratory: Employment. Eder:MLL Munich Leukemia Laboratory: Employment. Kohlmann:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Equity Ownership. Schnittger:MLL Munich Leukemia Laboratory: Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Equity Ownership.

Download Full-text

Impact of Amotosalen/UVA Pathogen Inactivated Platelet Components on Outcomes after Allogeneic Hematopoetic Stem Cell Transplantation: A Single Center Analysis

Blood ◽

10.1182/blood-2019-122330 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1167-1167

Author(s):

Andreas S. Buser ◽

Laura Infanti ◽

Andreas Holbro ◽

Joerg Halter ◽

Sabine Gerull ◽

...

Keyword(s):

Stem Cell ◽

Cox Regression ◽

Univariate Analysis ◽

Conditioning Regimen ◽

Disease Status ◽

Risk Scores ◽

Employment Equity ◽

Stem Cell Source ◽

Equity Ownership ◽

The Impact

Background: Platelet component (PC) transfusion is required for allogeneic hematopoietic stem cell transplantation (HCT) recipients. Contamination with infectious pathogens (bacteria, viruses, or protozoa) and T-cells is a risk factor for transfusion-transmitted infection (TTI) and transfusion associated graft-versus-host disease (TA-GVHD). Pathogen inactivation (PI) treatment of PC with amotosalen-UVA (PI-PC, INTERCEPT Blood System, Cerus Corp) in platelet additive solution (PAS) without bacterial screening, gamma irradiation, CMV serology, and with 7-day storage has been the standard of care in Switzerland since 2011 to manage risk of TTI and TA-GVHD. PI-PC have replaced conventional PC (C-PC) prepared in PAS with gamma irradiation and 5 day storage. We previously reported platelet usage in two consecutive five year periods at the University Hospital of Basel. Mean PI-PC dose was higher (3.0 vs. 2.8 x 1011, p=0.001) and mean storage duration longer (4.2 vs. 3.4 days: p=0.001) than with C-PC. PC expiration wastage was reduced with 7-day PI-PC storage vs. 5-day storage (1.5% vs. 8.7%). For HCT recipients, days of PC support; PC use per patient; and RBC use per patient were similar, despite 24.3% lower corrected count increments (CCI) with PI-PC. Now, we report the impact of these observations on treatment related mortality (TRM) and overall survival (OS) 100 days after HCT. Patients and Methods: A two-period retrospective cohort study was conducted to evaluate PI-PC impact on outcomes of consecutive first allogeneic HCT recipients from January 2006 to December 2010 (Period 1, P1), when gamma-irradiated apheresis C-PC were used, and Period 2 (P2) from January 2011 to December 2017, when apheresis and whole blood-derived PI-PC were used. The review utilized 100-day OS and 100-day TRM to determine the impact of PI-PC on HCT outcomes. Descriptive statistics were used for continuous variables and log-rank analysis for survival outcomes. Univariate analysis was performed using Pearson χ2 statistics. Multivariate Cox regression modelling analyses included: PC period (P1, P2), donor match (HLA identical/twin, matched related, matched unrelated), disease state (early, intermediate, late), and conditioning regimen (reduced intensity, myeloablative) with TRM as the outcome. This was an IRB approved single-center analysis. Results: In P1 and P2, 256 and 557 consecutive first-time allogeneic HCT recipients were included, respectively. By univariate analysis, the distribution of European Group for Bone Marrow Transplantation (EBMT) risk scores (grouped 0-2, 3-4, 5-7) and mean patient age were higher during P2 (p = 0.001 and p <0.001, respectively). Primary disease status (p = 0.039); stem cell source (p <0.001); GVHD prophylaxis with ATG (p <0.001); total body irradiation (p <0.001); and conditioning regimen (p <0.001) were different between P1 and P2. Donor match (p=0.084) and disease status (p = 0.628) were similar in P1 and P2. TRM at day 100 post HCT was significantly less (31/557, 5.5%) for PI-PC recipients in P2 vs. C-PC recipients in P1 (37/256, 14.5%, p<0.001). Overall proportion of survivors at day 100 post HCT was significantly greater for PI-PC recipients (507/557, 91.0 %) compared to C-PC recipients (209/256, 81.6%, p <0.001). By multivariate Cox regression analysis, P2 with PI-PC component support was associated with improved TRM (p = 0.001; adjusted hazard ratio 0.433; 95% confidence interval: 0.262, 0.716). Donor match (p = 0.019), disease state (p = 0.022), and myeloablative conditioning (p = 0.034) were associated with significantly poorer TRM (Table). Stem cell source was not significant (p=0.157) in the model. Hemorrhage was reported as cause of death in 1/50 (2.0%) patients during P2 with PI-PC and 4/47 (8.5%) patients during P1 with C-PCs. Conclusions: Universal implementation of PI-PC in routine with extended storage to 7 days in P2 was associated with reduced TRM and better overall survival 100 days post HCT, despite transplantation of older patients with higher EBMT risk scores. Multivariate analysis revealed an adjusted hazard ratio of 0.433 (95% C.I. 0.262, 0.716) for TRM by 100 days, suggesting better outcomes in P2. This retrospective analysis at a single site indicated that PI-PC treated with amotosalen /UVA stored up to 7 days did not have a negative impact on TRM and OS in HCT recipients, and was an integral part of improving clinical outcomes at our institution. . Table. Disclosures Heim: Novartis: Research Funding. Irsch:Cerus Corporation: Employment, Equity Ownership. Lin:Cerus Corporation: Employment, Equity Ownership. Benjamin:Cerus Corporation: Employment, Equity Ownership. Corash:Cerus Corporation: Employment, Equity Ownership.

Download Full-text

Translocations Involving the IGH@locus Occur In 3.7% of Chronic Lymphocytic Leukemia and Are Associated with Unmutated IGHV Status and a Shorter Time to Treatment: A Study on 2,135 Cases

Blood ◽

10.1182/blood.v116.21.3596.3596 ◽

2010 ◽

Vol 116 (21) ◽

pp. 3596-3596

Author(s):

Claudia Haferlach ◽

Frank Dicker ◽

Susanne Schnittger ◽

Wolfgang Kern ◽

Torsten Haferlach

Keyword(s):

Multivariate Analysis ◽

Regression Analysis ◽

Chronic Lymphocytic Leukemia ◽

Cox Regression ◽

Lymphocytic Leukemia ◽

Employment Equity ◽

Mutation Status ◽

Cox Regression Analysis ◽

Igh Locus ◽

Equity Ownership

Abstract Abstract 3596 Introduction: Chronic lymphocytic leukemia (CLL) is a heterogeneous disease with a variable clinical course and a large spectrum of treatment options. Based on FISH data, a prognostic classification system has been established with 13q deletions as sole abnormality associated with a favorable prognosis and 17p and 11q deletions correlating with an unfavorable outcome. Recently, the combined evaluation of FISH data, IGHV mutation status and chromosome banding analysis (CBA) revealed that the impact of distinct genetic parameters differs with respect to overall survival (OS) and time to treatment (TTT). Thus far only few data is available on less frequent genetic abnormalities such as 14q deletions and translocations involving the IGH@ locus (tIGH). Therefore, we analyzed CLL with tIGH in detail with respect to frequency, partner genes and impact on prognosis. Methods/Patients: 78 CLL cases with tIGH were identified from 2,135 CLL sent to our laboratory for diagnostic work-up. All cases had been evaluated by immunphentotyping, FISH and CBA. Result: The most frequent tIGH was t(14;19)(q32;q13) (BCL3, n=21) followed by t(14;18)(q32;q21) (BCL2, n=19), t(8;14)(q24;q32) (CMYC, n=7) and t(11;14)(q13;q32) (CCND1, n=6). In the remaining 25 cases 5 recurrent translocations (t(2;14)(p13;q32), n=3; t(4;14)(p16;q32), FGFR3, n=2; t(11;14)(p15;q32), n=2; t(14;17)(q32;q25), n=2; and t(7;14)(q21;q32), n=2) were observed while the remaining 14 translocations were identified in single cases only. In 9/78 cases (11.5%) the tIGH was the sole abnormality. Recurrent additional chromosome abnormalities were +12 (n=7), del(13q) (n=9), del(11q) (n=3). A 17p deletion was observed in 1 case. In two cases tIGH was present only in a subclone and was a secondary abnormality occurring in addition to an del(11q) and a +12, respectively. CLL with tIGH were compared to 401 CLL without tIGH comprising all other genetic subgroups (subdivided according to Döhner et al.: del(17p) n=26, del(11q) n=42, +12 n=42, “normal” n=88, del(13q) sole n=177 and del(14q) n=26). An unmutated IGHV status was more frequent in CLL with tIGH as compared to all others (26/46 (54.3%) vs 128/353 (36.3%); p=0.023). For 53 cases with tIGH and all cases of the non-tIGH cohort clinical follow-up data was available. Median OS was 143.8 months (mo) in CLL with tIGH and 72.9 mo in patients with del(17p) while it was not reached in all other subgroups. In Cox regression analysis only del(17p) and mutated IGHV status were significantly associated with OS (p<0.0001, relative risk (RR)=7.0; p=0.014, RR=0.38). Median TTT was as follows: total cohort: 60.9 mo; tIGH: 27.8 mo; del(17p): 58.9 mo; del(11q): 19.7 mo; +12: n.r.; “normal” 63.9 mo; del(13q) sole: 83.0 mo and del(14q): 21.0 mo. In univariate Cox regression analysis the following parameters were significantly associated with shorter TTT: tIGH (p=0.004, RR=1.82), del(11q) (p<0.0001, RR=2.55), and del(14q) (p=0.007, RR=2.1), while del(13q) sole and mutated IGHV status were associated with longer TTT (p<0.0001, RR=0.40; p<0.0001, RR=0.23). In multivariate analysis including tIGH, del(11q), del(14q) and del(13q) sole all parameters retained their impact on TTT. However, if IGHV mutation status was included in the model only the mutated IGHV mutation status retained an impact on TTT (p<0.0001, RR=0.26). Next, patients with tIGH were subdivided according to their partner genes. Median OS was not reached in all subgroups, while median TTT was as follows: t(11;14): 101.2 mo, t(14;18): 47.9 mo, t(14;19): 11.0 mo, t(8;14): 18.5 mo and other partner genes: 27.8 mo. In univariate Cox regression analysis only t(14;19) was significantly associated with shorter TTT (p<0.001, RR=3.1). Including t(14;19) into multivariate analysis revealed a significant impact of both mutated IGHV mutation status and t(14;19) on TTT (p<0.0001, RR=0.286; p=0.004, RR=3.60). Conclusion: Translocations involving the IGH@ locus occur at low frequency in CLL. They are associated with unmutated IGHV status and a shorter TTT. TTT is especially short in cases with t(14;19). The prognostic impact of t(14;19) is independent of IGHV mutation status. In contrast CLL with t(11;14) and t(14;18) are neither associated with shorter OS nor shorter TTT. This data supports the application of CBA in CLL in order to identify all clinically relevant chromosomal aberrations, including those not detected by routine FISH analysis. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Dicker:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Download Full-text

Impact of Expression of BAALC, CDKN1B, ERG, EVI1, and MN1 on Prognosis and Their Association with Karyotype, FLT3-ITD, NPM1 and MLL-PTD Status In Adult AML: A Comprehensive Study on 286 Cases

Blood ◽

10.1182/blood.v116.21.953.953 ◽

2010 ◽

Vol 116 (21) ◽

pp. 953-953

Author(s):

Claudia Haferlach ◽

Alexander Kohlmann ◽

Sonja Schindela ◽

Tamara Alpermann ◽

Wolfgang Kern ◽

...

Keyword(s):

Molecular Genetic ◽

Normal Karyotype ◽

Genetic Alterations ◽

Complex Karyotype ◽

Employment Equity ◽

Aberrant Expression ◽

Cox Regression Analysis ◽

Total Cohort ◽

Equity Ownership ◽

Low Expression

Abstract Abstract 953 Introduction: The WHO classification in 2008 listed for the first time aberrant expression of genes as molecular genetic alterations affecting outcome in AML. High expression of BAALC, ERG and MN1 were shown thus far to be associated with unfavorable outcome in normal karyotype AML (AML-NK). In addition high EVI1 expression was suggested to predict poor outcome. Recently, our group identified low expression of CDKN1B as a favorable prognostic marker. The aim of this study was to evaluate the expression of BAALC, CDKN1B, ERG, EVI1 and MN1 in AML comprising all cytogenetic risk groups with respect to their association with distinct cytogenetic and known molecular genetic subgroups and their impact on prognosis. Patients/Methods:: Expression levels of BAALC, CDKN1B, ERG, EVI1 and MN1 were determined by oligonucleotide microarrays (HG-U133 Plus 2.0, Affymetrix) in 286 AML (t(15;17) n=15; t(8;21) n=16; inv(16) n=7; normal karyotype n=99; 11q23/MLL-rearrangements n=10; complex karyotype n=51; other abnormalities n=88). Patients were further analyzed for mutations in NPM1, FLT3-ITD, CEPBA and MLL-PTD. Results: Expression of BAALC, CDKN1B, ERG, EVI1 and MN1 varied significantly between genetic subgroups: While t(15;17), t(8;21) and 11q23/MLL-rearrangements were associated with low CDKN1B expression, AML-NK and NPM+ cases showed a higher CDKN1B expression. Lower BAALC expression was observed in AML with t(15;17), 11q23/MLL-rearrangement and AML-NK as well as in FLT3-ITD+ AML and in NPM1+ AML, while in AML with other abnormalities a higher BAALC expression was observed. ERG expression was lower in AML with 11q23/MLL-rearrangement and normal karyotype, while it was higher in AML with complex karyotype. Low EVI1 expression was observed in AML with t(15;17), t(8;21), inv(16) and AML-NK, while it was higher in AML with 11q23/MLL-rearrangements. Low MN1 expression was associated with t(15;17), t(8;21) and AML-NK, while it was increased in cases with inv(16) or other abnormalities. Next, Cox regression analysis was performed with respect to overall survival (OS) and event free survival (EFS). In the total cohort high BAALC and ERG expression as continuous variables were associated with shorter OS and EFS while CDKN1B, EVI1 and MN1 had no impact. Furthermore the cohort was subdivided into quartiles of expression for each gene. After inspection of the survival curves the cut-off for high vs low expression was set as follows: BAALC: 75th percentile, CDKN1B: 25th percentile, ERG and MN1: 50th percentile. For EVI1 expression pts were separated into expressers (n=44) and non-expressers (n=242). Low CDKN1B expression was associated with longer OS and EFS in the total cohort (p=0.005, not reached (n.r.) vs 14.9 months (mo); p=0.013, 31 vs 9.7 mo). High BAALC expression had no impact on OS, but was associated with shorter EFS in the total cohort as well as in AML with intermediate cytogenetics and AML with other abnormalities (p=0.032, 6.2 vs 13.0 mo; p=0.027, 5.1 vs 11.3 mo; p=0.006, 2.3 vs 14.8 mo). High ERG expression was significantly associated with shorter OS and EFS in the total cohort (p=0.002, 12.5 mo vs n.r.; p=0.001, 8.1 vs 15.7 mo) as well as in AML-NK (p=0.001, 11.3 mo vs n.r.; p=0.010, 7.2 vs 22.1 mo). OS was also shorter in AML with unfavorable karyotype (p=0.048, median OS 9.3 mo vs n. r.). With respect to MN1 high expressers had a significantly shorter OS and EFS in the total cohort (p=0.004, 12.3 mo vs. n.r.; p=0.001, 8.1 vs 16.7 mo) as well as in AML-NK (p=0.001, 9.7 mo vs n.r.; p=0.001, 5.1 vs 22.1 mo). In a multivariate analysis including CDKN1B, ERG and MN1 all parameters retained their impact on OS as well as on EFS, while BAALC lost its impact on EFS. Adding MLL-PTD, NPM1+/FLT3-ITD-, favorable and unfavorable karyotype into the model demonstrated an independent significant adverse impact on OS for MLL-PTD (p=0.027, relative risk (RR): 2.38) and ERG expression (p=0.044, RR: 1.59) only. In the respective analysis for EFS only favorable karyotype showed an independent association (p=0.002, RR: 0.261). Conclusion: 1) Expression of BAALC, CDKN1B, ERG, EVI1 and MN1 varies significantly between cytogenetic subgroups. 2) BAALC as a continuous variable and CDKN1B, ERG and MN1 as dichotomized variables are independently predictive for OS and EFS in AML. 3) ERG expression even retains its independent prediction of shorter OS if cytogenetic and other molecular genetic markers are taken into account. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kohlmann:MLL Munich Leukemia Laboratory: Employment. Schindela:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Schnittger:MLL Munich Leukemia laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Download Full-text

Cytogenetic Clonal Evolution in MDS Is Associated with Shifts towards Unfavorable Karyotypes According to IPSS and Shorter Overall Survival: A Study on 988 MDS Patients Studied Sequentially by Chromosome Banding Analysis

Blood ◽

10.1182/blood.v118.21.968.968 ◽

2011 ◽

Vol 118 (21) ◽

pp. 968-968 ◽

Cited By ~ 1

Author(s):

Claudia Haferlach ◽

Melanie Zenger ◽

Tamara Alpermann ◽

Susanne Schnittger ◽

Wolfgang Kern ◽

...

Keyword(s):

Overall Survival ◽

Chromosome Banding ◽

Cox Regression ◽

Clonal Evolution ◽

Employment Equity ◽

Cox Regression Analysis ◽

Banding Analysis ◽

Chromosome Banding Analysis ◽

Equity Ownership ◽

Acquired Abnormalities

Abstract Abstract 968 Background and Aim: The karyotype is one of the most important prognostic factors in MDS with respect to survival and evolution to AML and may change during the course of the disease. The aim of this study was to evaluate 1. the frequency of acquisition of additional chromosome abnormalities during the course of the disease (clonal evolution), 2. the pattern of acquired genetic abnormalities, 3. the association of karyotype at diagnosis and clonal evolution and 4. the impact of clonal evolution on transformation to AML and overall survival (OS). Patients and Methods: 988 MDS patients were evaluated by chromosome banding analysis (CBA) during the course of their disease. According to IPSS 729 (73.8%) cases showed a favorable karyotype, 146 (14.8%) patients an intermediate karyotype and 113 (11.4%) cases an unfavorable karyotype at first investigation. Progression to AML occurred in 180 of 988 patients during follow-up. Results: 2,454 chromosome banding analyses were performed in 988 cases (mean: 2.48 per case, range: 2–9). The median time between the first and the last evaluation was 12.5 months (range 1–60.6 months). Overall, in 171 of 988 patients (17.3%) clonal evolution was observed. Clonal evolution was detected between 1 and 56 months (median 14.3 months) after first evaluation and occurred later in patients with favorable than in patients with intermediate or unfavorable karyotype (mean 19.8 mo vs 15.5 mo vs 10.5 mo, favorable vs intermediate p=0.07, intermediate vs unfavorable p=0.05 and favorable vs unfavorable p<0.001). The abnormalities most frequently acquired during the course of the disease were +8, 7q−/−7, and gain of 21q detected in 29 cases each, followed by loss of 12p (n=22), 5q (n=14), 17p (n=19), and 20q (n=12). Other recurrently acquired abnormalities were +13 (n=12), +1q (n=12), +3q (n=12), −3q (n=10). Clonal evolution was strongly associated with cytogenetic IPSS category: Clonal evolution occurred in 100/729 cases with upfront favorable cytogenetics (13.7%), in 32/146 patients (21.9%) with upfront intermediate cytogenetics, but in 39/113 cases (34.5%) with upfront unfavorable cytogenetics (p<0.001). In 100 patients with favorable cytogenetics and clonal evolution karyotype was intermediate at second evaluation in 43 cases (43%), unfavorable in 25 cases (25%) and stayed favorable in the remaining 32 patients (32%). In 32 patients with intermediate cytogenetics and clonal evolution karyotype shifted to unfavorable at second evaluation in 11 cases (34.4%) and stayed intermediate in 21 patients (65.6%). Progression to AML was more frequent in patients with clonal evolution as compared to patients without (52/171 (30.4%) vs 128/817 (15.7%); p<0.001). In Cox regression analysis the IPSS karyotype at first evaluation, the IPSS karyotype at second evaluation, clonal evolution and progression to AML were associated with OS (relative risk: 2.12, 2.15, 1.87, and 6.6; p<0.001, p<0.001, p=0.011, p<0.001, respectively). In multivariate Cox regression analysis the IPSS karyotype at second evaluation and progression to AML were independently associated with shorter OS (relative risk: 2.0, and 6.1; p=0.013, p<0.001, respectively). Clonal evolution was associated with shorter OS (median 130.4 months vs not reached, OS at 5 years 72.3%vs 82.9%, p=0.01). Also in the subset of patients without transformation to AML outcome was inferior in patients with clonal evolution as compared to those without clonal evolution (OS at 5 years 78.2% vs 83.0%, p=0.05). Conclusions: 1. Clonal evolution was observed in 17.3% of patients with MDS. 2. The pattern of acquired abnormalities resembles the pattern observed in MDS at primary evaluation. 3. A higher frequency of clonal evolution and a shorter time to clonal evolution is observed in higher cytogenetic IPSS scores determined at first evaluation. 4. Clonal evolution is significantly associated with transformation to AML and shorter OS. 5. Sequential cytogenetic analyses allow the identification of subsets of MDS patients with a higher risk for transformation to AML and thus might guide treatment decisions in future. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Zenger:MLL Munich Leukemia Laboratory: Employment. Alpermann:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Download Full-text

Mutations In SETBP1 Occur In 3.1% Of De Novo AML and Show a Distinct Genetic Pattern That Highly Resembles Atypical CML

Blood ◽

10.1182/blood.v122.21.2560.2560 ◽

2013 ◽

Vol 122 (21) ◽

pp. 2560-2560

Author(s):

Manja Meggendorfer ◽

Tamara Alpermann ◽

Elisabeth Sirch ◽

Claudia Haferlach ◽

Wolfgang Kern ◽

...

Keyword(s):

Sanger Sequencing ◽

De Novo ◽

Complex Karyotype ◽

Employment Equity ◽

Cytogenetic Abnormalities ◽

Myeloid Malignancies ◽

Genetic Pattern ◽

Equity Ownership ◽

De Novo Aml ◽

Atypical Cml

Abstract Introduction Recently, mutations in SETBP1 (SETBP1mut) have been identified in different myeloid malignancies. We previously determined mutation frequencies in the range of 5-10% in MPN and MDS/MPN overlap, while we found SETBP1 more frequently mutated in atypical CML (32%). SETBP1mut has been shown to associate with CBL and ASXL1 mutations, as well as the cytogenetic abnormalities -7 and i(17)(q10). While SETBP1 mutations have been detected in 3% of s-AML cases, so far no mutations of SETBP1 in de novo AML have been described. Aim To analyze the mutation frequency of SETBP1 mutations in de novo AML with corresponding cytogenetic abnormalities and their respective correlation to clinical data and other gene mutations. Patients and Methods We investigated 422 adult de novo AML patients, diagnosed by cytomorphology, immunophenotyping and genetic studies following WHO classification. SETBP1 was analyzed by Sanger sequencing of the coding region for amino acids 800 to 935. The cohort comprised 229 males and 193 females, the median age was 65.8 years (range: 19.3 – 89.0). Cytogenetics was available in all 422 cases. Based on the previously described association of SETBP1mut with -7 and i(17)(q10) in other myeloid malignancies there was a selection bias to these karyotypes. Cases were grouped according to cytogenetic abnormalities: normal karyotype (n=88) and aberrant karyotype (n=334), i.e. i(17)(q10) (n=15), +14 (n=20), -7 (n=100), other abnormalities (n=129), and complex karyotype (n=114; 44 contained i(17)(q10), +14 or -7). Within the SETBP1mut cases the following molecular markers were analyzed: ASXL1, CBL, CEBPA, FLT3-ITD, FLT3-TKD, IDH1/2, KRAS, NRAS, NPM1, MLL-PTD, RUNX1, SRSF2, TP53 and WT1 by Sanger sequencing, next generation sequencing, gene scan or melting curve analyses. These data were also available in sub-cohorts of SETBP1 negative cases. Results In the total cohort mutations in SETBP1 were detected in 3.1% (13/422) of all cases. SETBP1mut patients were older (median age: 73.5 vs. 65.7 years; p=0.05) and showed a slightly higher white blood cell count (14.5 vs. 13.8x109/L; p<0.001). There was no correlation to gender, hemoglobin level and platelet count. However, analyzing the cytogenetic groups SETBP1mut showed, like in other myeloid malignancies, a strong co-occurrence with -7 and i(17)(q10), since 4/13 SETBP1 positive cases carried a monosomy 7, and 7/13 an i(17)(q10). The two remaining cases showed a trisomy 14 or a complex karyotype that also contained a i(17)(q10). No SETBP1mut was found in any other cytogenetic subgroup. Therefore, SETBP1mut correlated significantly with i(17)(q10) (8/15 i(17)(q10) were SETBP1mut vs. 5/407 in all other karyotypes; p<0.001). Further, we analyzed the association of SETBP1 mutations with other molecular markers. SETBP1mut correlated with ASXL1mut, 9/33 (27%) ASXL1mut patients showed a mutation in SETBP1, while only 2 (1%) showed a SETBP1 mutation in 229 ASXL1 wild type (wt) patients (p<0.001). This was also true for CBLmut, where 4/8 (50%) CBLmut cases were SETBP1mut, while only 8/158 (5%) were SETBP1mut in the group of CBLwt (p=0.001). This was even more prominent in SRSF2mut patients, where all 9 SRSF2mut were also SETBP1mut, while only 4/8 (50%) patients carried a SETBP1 mutation within the SRSF2wt group (p=0.029). In contrast, SETBP1mut were mutually exclusive of mutations in TP53 (0/67 in TP53mut vs. 12/194 in TP53wt; p=0.04), possibly reflecting the exclusiveness of TP53mut in i(17)(q10) patients. There was no correlation to any other analyzed gene mutation. Remarkably, while there was a high coincidence of SETBP1mut, SRSF2mut (9/13) and ASXL1mut (9/11), none of these patients showed mutations in the typical AML markers NPM1, FLT3-ITD, CEBPA, MLL-PTD, or WT1. Comparing the mutational loads of SETBP1, ASXL1 and SRSF2 resulted in SRSF2 having in most cases the highest mutational loads (range: 30-70%) while ASXL1 and SETBP1 showed equal or lower mutational loads (15-50% and 10-50%, respectively), possibly indicating that SRSF2 mutation is a former event followed by ASXL1 and SETBP1 mutation. Conclusions 1) For the first time we describe, that SETBP1 mutations occur in de novo AML. 2) SETBP1 mutations are correlated with a distinct genetic pattern with high association to i(17)(q10), ASXL1 and SRSF2 mutations and are mutually exclusive of TP53mut. 3) Thus, the genetic pattern of SETBP1 mutated AML highly resembles that of atypical CML. Disclosures: Meggendorfer: MLL Munich Leukemia Laboratory: Employment. Alpermann:MLL Munich Leukemia Laboratory: Employment. Sirch:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Download Full-text

TP53 Alterations In CLL - Parameters Influencing The Prognostic Impact: A Study On 3,988 Patients

Blood ◽

10.1182/blood.v122.21.865.865 ◽

2013 ◽

Vol 122 (21) ◽

pp. 865-865

Author(s):

Claudia Haferlach ◽

Frank Dicker ◽

Sabine Jeromin ◽

Sandra Weissmann ◽

Andreas Roller ◽

...

Keyword(s):

Cox Regression ◽

Small Subset ◽

Mutation Load ◽

Employment Equity ◽

Mutation Status ◽

Cox Regression Analysis ◽

Tp53 Mutations ◽

Entire Cohort ◽

Impact On Survival ◽

Equity Ownership

Abstract Background In CLL, the TP53 gene may be inactivated by deletion and/or mutations. Most cases with 17p deletion also carry TP53 mutations on the second allele. However, in a subset of cases only one allele seems to be disrupted by either mutation or deletion. It is still a matter of debate whether monoallelic TP53 abnormalities have the same poor prognostic effect as biallelic alterations. Further, a small subset of patients with TP53 deletions harboring mutated IGHV genes were described to exhibit a slowly progressive disease without treatment indication for years. Aims In this study, we addressed the following questions: 1. Frequency of TP53 alterations: mutation and deletion. 2. Characterization of the TP53 altered subsets with respect to IGHV mutation status, other molecular mutations and cytogenetics. 3. Impact on survival. Patients and Methods 3,988 CLL patients were analyzed by DNA sequencing for TP53 mutations and by FISH for TP53 deletion status as well as for del(13q), del(11q) and +12. IGHV mutation status was determined in 3,505 patients. Further, SF3B1 (n=1,245), MYD88 (n=1,026), XPO1 (n=1,025), NOTCH1 (n=973), and FBXW7 (n=962) were analyzed by DNA sequencing. Results 488/3,988 (12.2%) harbored a TP53 mutation (TP53mut) and 308/3,988 (7.7%) patients showed a TP53 deletion (TP53del) by FISH. 268 cases (6.7%) showed both a TP53del and a TP53mut, while 220 cases (5.5%) harbored a TP53mut only and 40 (1.0%) a TP53del only. 20.5% of TP53mut cases harbored more than one TP53mut. The frequency of TP53mut and TP53del increased significantly with age (≤40 yrs: 2.4%/2.4%; 41-50 yrs: 7.5%/4.0%; 51-60 yrs: 12.4%/6.8%; 61-70 yrs: 12.1%/8.1%; 71-80 yrs: 13.4%/9.1%; >80 yrs: 16.0%/9.9%; p=0.006 and p=0.013, respectively). In the entire cohort, 1,428/3,505 (40.7%) cases showed an unmutated and 2,077/3,505 (59.3%) a mutated IGHV status. The lowest frequency of IGHV unmutated was observed in cases without TP53 alteration (1,148/3,094; 37.1%) and the highest in patients with both TP53mut and TP53del (156/201; 77.6%). The frequency was in between in patients with TP53mut sole (106/176; 60.2%) and TP53del sole (18/34; 52.9%). Patients with both TP53mut and TP53del as well as patients with TP53del sole had a significantly shorter overall survival (OS) compared to patients with TP53mut sole or patients without TP53 alteration (OS at 5 yrs: 40.2% vs. 36.4% vs. 68.8% vs 85.4%; p<0.001; TP53mut sole vs TP53wt: p=0.003). Next, we evaluated the impact of the TP53 mutation load on survival. Therefore, we divided patients into 10 subgroups according to their mutation load (increments of 10%). The OS of patients with a mutation load <20% (n=150) did not differ from patients with TP53wt, while a mutation load ≥20% was significantly associated with shorter OS (HR: 4.9, p<0.001). An unmutated IGHV status was associated with shorter OS in the total cohort (HR: 2.3, p<0.001). In the subset of patients with TP53wt an unmutated IGHV status was also an adverse prognostic factor (OS at 5 yrs: IGHV unmutated vs mutated: 80.3% vs 88.6%, p=0.007). This was true also in cases with TP53del sole (median OS: 12 months vs not reached, p=0.001). In contrast, in patients with either TP53mut sole or both TP53mut and TP53del the IGHV status had no impact on OS. In the entire cohort univariate Cox regression analysis revealed the following parameters to be significantly associated with OS: TP53mut (HR: 4.0), TP53mut ≥20% (HR: 4.9), TP53del (HR: 7.1), IGHV unmutated (HR: 2.3), age >60 yrs (HR: 3.3), del(11q) (HR: 2.1), del(13q) sole (HR: 0.6), SF3B1mut (HR: 2.5) (for all p<0.001), and NOTCH1mut (HR: 1.6, p=0.025). Multivariate Cox regression analysis including parameters significantly associated with OS in univariate analyses revealed the following factors to be independently associated with shorter OS: TP53del (HR: 4.2, p<0.001), TP53mut ≥20% (HR: 2.4, p=0.008), age >60 yrs (HR: 2.6, p<0.001), SF3B1mut (HR: 2.4, p<0.001), and del(11q) (HR: 2.2, p=0.002). Conclusions 1. TP53 alterations were observed in 13.2% of CLL patients, 6.7% showed both a deletion and a mutation, while 1% showed a deletion only and 5.5% a mutation only. 2. Both TP53 mutations and TP53 deletions are associated with an unmutated IGHV status. 3. TP53 deletions had the most adverse impact on survival, TP53 mutations had a significant impact on OS only if the mutation load was ≥20%. A small subset of patients with TP53 deletion sole and a mutated IGHV status seems to have a favorable outcome. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Dicker:MLL Munich Leukemia Laboratory: Employment. Jeromin:MLL Munich Leukemia Laboratory: Employment. Weissmann:MLL Munich Leukemia Laboratory: Employment. Roller:MLL Munich Leukemia Laboratory: Employment. Worseg:MLL Munich Leukemia Laboratory: Employment. Alpermann:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kohlmann:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Download Full-text

Prevalence and Impact on Outcomes of Additional Karyotypic Abnormalities in Patients (Pts) with Myelodysplastic Syndromes (MDS) and Del(5q) from the MDS-003 and MDS-004 Studies

Blood ◽

10.1182/blood.v126.23.1680.1680 ◽

2015 ◽

Vol 126 (23) ◽

pp. 1680-1680

Author(s):

Aristoteles Giagounidis ◽

Alan F. List ◽

Eva Hellström-Lindberg ◽

Ghulam J. Mufti ◽

Brigitte Schlegelberger ◽

...

Keyword(s):

Research Funding ◽

Employment Equity ◽

Multicenter Studies ◽

Free Survival ◽

Cytogenetic Abnormalities ◽

Poor Risk ◽

Increased Risk ◽

Equity Ownership ◽

Good Risk ◽

Rbc Transfusion

Abstract Introduction: Approximately 50% of pts with de novoMDS present with cytogenetic abnormalities at diagnosis (Haase D, et al. Ann Hematol. 1995;70:171); deletion (del)5q occurs in ~15% of pts (Haase D, et al. Blood. 2007;110:4385). Cytogenetic abnormalities in addition to del(5q) may be associated with shorter overall survival (OS) and increased risk of progression to acute myeloid leukemia (AML) versus del(5q) alone (Mallo M, et al. Leukemia. 2011;25:110). In 2 large multicenter studies (MDS-003 and MDS-004), lenalidomide (LEN) was evaluated in red blood cell (RBC) transfusion-dependent pts with IPSS Low- or Intermediate-1-risk MDS and del(5q) (List A, et al. N Engl J Med. 2006;355:1456; Fenaux P, et al. Blood. 2011;118:3765). Here, we examine specific cytogenetic abnormalities and outcomes in pts with MDS and del(5q) plus ≥ 2 additional cytogenetic abnormalities from MDS-003 and MDS-004. Methods: Of 353 pts enrolled, 281 had available cytogenetic data with ≥ 12 evaluable metaphases, and were included. Pts received either LEN 10 mg on days 1-21 of each 28-day cycle, LEN 5 mg or 10 mg continuously, or placebo (PBO). In MDS-004, at week (wk) 16, PBO pts could cross over to LEN 5 mg. Centrally reviewed cytogenetic studies were performed at baseline, and wks 24 and 48 (MDS-003); and at baseline, wks 12 and 24, and every 24 wks thereafter (MDS-004). RBC transfusion independence (TI) ≥ 26 wks, cytogenetic response (CyR), AML progression, OS, and AML-free survival were assessed by baseline cytogenetic complexity in LEN-treated pts with del(5q) plus ≥ 2 additional abnormalities. These patients did not fulfill IPSS lower-risk classification after central pathologic/cytogenetic evaluation. Results: Of 281 pts, 25 (8.9%) had del(5q) plus ≥ 2 additional abnormalities at baseline. In these pts, the most common additional abnormalities at baseline were -7 (20.0%), del(13q) (20.0%), +21 (16.0%), and del(11q) (16.0%). Baseline characteristics were comparable across the 24 LEN-treated pts with 2 (n = 9), 3 (n = 8), or ≥ 4 (n = 7) additional abnormalities. Rates of RBC-TI ≥ 26 wks were 44.4%, 50.0%, and 28.6% in pts with 2, 3, or ≥ 4 additional abnormalities (P = 0.77), respectively. In pts evaluable for CyR (n = 21), rates of CyR were 33.3%, 28.6%, and 20.0% (P = 1.00), respectively; all cytogenetic responders achieved RBC-TI ≥ 26 wks. The other pts who achieved RBC-TI ≥ 26 wks but did not meet the criteria for CyR showed reductions in the del(5q) clone. No PBO pts achieved CyR; however, 1 pt had a partial response (PR) after crossover to LEN 5 mg. Of the pts randomized to LEN, 4 achieved a complete response (CR) (5 mg, n = 1; 10 mg, n = 3) and 2 achieved a PR (5 mg and 10 mg). Median duration of CyR was 282 days (range 168-957). The median number of additional cytogenetic abnormalities in the subset of pts with poor-risk abnormalities (i.e. 17p, 3q, and monosomal abnormalities; n = 7) was 3 versus 2 in pts with good-risk abnormalities (i.e. all other abnormalities; n = 14). Rates of RBC-TI ≥ 26 wks were 28.6% versus 57.1% for the poor-risk versus good-risk groups, respectively. Rates of CyR were 14.3% versus 35.7%, respectively (all CR). In pts with 2, 3, or ≥ 4 additional abnormalities, the 2-year AML progression rates were 56.3% (95% confidence interval [CI] 25.8-89.9), 40.0% (95% CI 14.8-80.5), and 33.3% (95% CI 5.5-94.6), respectively. Median time to AML was 1.8 years (95% CI 0.6-not reached [NR]), 3.1 years (95% CI 0.4-4.8), and NR (95% CI 1.6-NR) (P = 0.75), respectively (Figure 1A). Of 10 pts who developed AML, 6 had involvement of chromosome 7 [del(7q) or -7] at baseline, but presence of -7 did not necessarily portend a poor response in all. Median OS was 1.8 years (95% CI 0.6-3.7), 3.6 years (95% CI 0.5-NR), and 1.6 years (95% CI 0.2-3.3) (P = 0.17) in pts with 2, 3, or ≥ 4 additional abnormalities (Figure 1B). Median AML-free survival was 1.5 years (95% CI 0.6-3.7), 2.5 years (95% CI 0.4-4.8), and 1.6 years (95% CI 0.2-3.3) (P = 0.36), respectively (Figure 1C). Conclusions: Although RBC-TI and CyR with LEN do occur in pts with del(5q) plus ≥ 2 additional abnormalities, the prognosis is generally dismal and less favorable versus isolated del(5q) and del(5q) plus 1 additional abnormality (Giagounidis A, et al. Blood. 2014;124:abstract 3270). Pts with del(5q) and complex karyotypes are generally associated with IPSS Intermediate-2- or High-risk MDS, which require more intensive treatment approaches, including azacitidine and stem cell transplantation, if feasible. Figure 2. Figure 2. Figure 3. Figure 3. Disclosures Giagounidis: Celgene Corporation: Honoraria. List:Celgene Corporation: Honoraria, Research Funding. Hellström-Lindberg:Celgene Corporation: Research Funding. Mufti:Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Morrill:Celgene Corporation: Employment, Equity Ownership. Wu:Celgene Corporation: Employment, Equity Ownership. Skikne:Celgene Corporation: Employment, Equity Ownership. Fenaux:Janssen: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Celgene Corporation: Honoraria, Research Funding.

Download Full-text