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  • American Society of Hematology  (3)
  • Bohlander, Stefan K  (3)
  • Metzeler, Klaus H.  (3)
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  • American Society of Hematology  (3)
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  • 1
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 2385-2385
    Abstract: Mutations in the CCAAT/enhancer binding protein alpha (CEBPA) are detected in about 10% of patients with cytogenetically normal acute myeloid leukemia (CN-AML). CEBPA mutation can either affect both CEBPA alleles (biallelic, biCEBPA) or only one allele (monoallelic, moCEBPA). We and others have shown that only patients with biCEBPA mutations have favorable outcomes when compared to other CN-AML patients (Dufour et al, JCO 2009; Green et al, JCO, 2010). Interestingly, biCEBPA mutations are rarely associated with other known prognostic mutations (e.g. FLT3-ITD, NPM1). In this study we aimed to characterize the mutational spectrum of CN-AML patients with mo- and biCEBPA mutations using a targeted amplicon sequencing approach. We analyzed 45 biCEBPA patients and 35 moCEBPA patients. 55 of these patients (26 biCEBPA and 29 moCEBPA) were enrolled in a multicenter trial of the German AML Cooperative Group (AMLCG-1999). Our amplicon resequencing panel included 42 genes which are known to be frequently mutated in AML (Haloplex, target region 62 kilobases). Out of these 42 genes we identified 23 different mutated genes in the biCEBPA subgroup and a total of 28 different mutated genes in the moCEBPA cohort. The mean number of mutated genes per moCEBPA patient was significantly larger (4.37±1.6) than in biCEBPA patients (2.96±1.22) (P 〈 0.05). The two groups also differed remarkably with regard to the genes that were mutated. In the moCEBPA group FLT3 (46%), NPM1 (46%), TET2 (37%) and DNMT3A (26%) were the most frequently mutated genes, whereas the biCEBPA group showed frequent mutations in TET2 (40%), GATA2 (36%) and FLT3 (18%). Thus there was a strong association of NPM1 (P 〈 0.0001), FLT3 (P=0.01) and IDH2 (P=0.04) mutations with the moCEBPA group. GATA2 mutations were significantly associated with biCEBPA mutations (P=0.0003). NPM1 and biCEBPA mutations were mutually exclusive. In this large and well characterized CEBPA-mutated patient cohort we identified distinct mutational landscapes in patients with moCEBPA and biCEBPA mutated CN-AML. The lower number of mutated genes within the biCEBPA group suggests that biallelic CEBPA mutations may act as a strong driver. In almost all cases, patients with biallelic mutations of CEBPA have a C-terminal mutation in one allele of CEBPA and an N-terminal mutation in the other allele. These date provide further insight into the genetic background of CEBPA mutated CN-AML. We are currently analyzing the prognostic impact of the associated mutations. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Location Call Number Limitation Availability
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  • 2
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 697-697
    Abstract: Background: Recurrent mutations in 〉 100 different genes have been described in AML, but the clinical relevance of most of these alterations has not been defined. Moreover, high-throughput sequencing techniques revealed that AML patients (pts) may harbor multiple, genetically related disease subclones. It is unclear whether clonal heterogeneity at diagnosis also associates with clinical characteristics or outcomes. To address these questions, we set out to characterize a relatively large, uniformly treated patient cohort for mutations in known and putative AML driver genes. Patients and Methods: We studied pretreatment blood or bone marrow specimens from adult AML pts who received high-dose cytarabine-based induction chemotherapy within the German multicenter AMLCG-2008 trial. Sequence variants (single nucleotide variants and insertions/deletions up to approx. 150bp) in 70 genes known to be mutated in AML or other hematologic neoplasms were analyzed by multiplexed amplicon resequencing (Agilent Haloplex; target region, 321 kilobases). Sequencing was performed on an Illumina MiSeq instrument using 2x250bp paired-end reads. A variant allele frequency (VAF) threshold of 2% was set for mutation detection, corresponding to heterozygous mutations present in 4% of cells in a specimen. Variants were classified as known/putative driver mutations, variants of unknown significance, or known germline polymorphisms based on published data (including dbSNP, the Catalogue Of Somatic Mutations In Cancer [COSMIC] and The Cancer Genome Atlas [TCGA]). In patients with more than one single nucleotide variant, the chi square test was used assess if the observed VAFs, adjusted for ploidy, were compatible with the presence of a single clone. Results: Material for genetic analyses was available for 280 of the 396 participants (71%) enrolled on the AMLC-2008 trial. To date, analyses have been completed for 248 pts (130 male, 118 female; median age, 54y; range 19-81y). Updated results for the entire cohort will be presented at the meeting. Mean coverage of target regions was 〉 600-fold, and on average, 98.2% of target bases were covered 〉 30-fold. We detected a total of 914 mutations in 46 genes, including 37 genes mutated in 〉 1 patient (Fig. A). Nine genes (NPM1, FLT3, DNMT3A, NRAS, WT1, IDH2, RUNX1, TET2 and ASXL1) were mutated in 〉 10% of patients (red dashed line in Fig. A). We found a median of 4 mutations per patient (range: 0-10). Of note, only 1 patient had no detectable mutation and no abnormality on cytogenetic analysis. Patients with Intermediate-risk cytogenetics according to the MRC classification harbored a higher number of driver gene mutations (median, 4) compared to patients with MRC Favorable (median, 2 mutations) or Unfavorable (median, 3 mutations) cytogenetics (P 〈 .001). When analyzing patterns of co-occurring and mutually exclusive mutations, we confirmed well-known associations (e.g., between CEBPA and GATA2 mutations) and identified novel pairs of mutations that frequently occur in combination and, to our knowledge, have not yet been reported in AML (e.g., ASXL1/STAG2, SRSF2/STAG2). These findings may guide functional studies on the molecular mechanisms of leukemogenesis. We found evidence for clonal heterogeneity in 129 (52%) of 248 pts, based on the presence of mutations with significantly (P 〈 .001) different VAFs within the same sample. Our analyses reveal differences in allele frequencies between different AML driver genes. Mutations can be grouped into "early" events that often are present in the founding clone, and "late" events which frequently appear to be restricted to subclones (Fig. B). Conclusion: Targeted sequencing allowed detection of mutations affecting a panel of known and putative AML driver genes in clinical specimens with high sensitivity. Our data from the AMLCG-2008 patient cohort reveal novel patterns of cooperating gene mutations, and show that the presence of subclonal driver mutations is a frequent event in AML pts. Differentiating between "founding clone" mutations, and subclonal mutations that typically occur later in the disease has implications for choosing targeted therapies aimed at disease eradication. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Location Call Number Limitation Availability
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  • 3
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 17-17
    Abstract: The evolution of acute myeloid leukemia (AML) has been previously described either in studies of large patient cohorts with focus on only a restricted number of AML-associated genes or in smaller series of relapsed patients studied by genome-wide techniques. We set out to comprehensively characterize the genetic evolution in a large AML cohort in order to understand molecular mechanisms of relapse and therapy-resistance. We performed exome-sequencing of matched bone marrow or peripheral blood samples taken at diagnosis, complete remission and relapse from 47 patients with cytogenetically normal AML (CN-AML). Samples were collected within the German Cancer Consortium (DKTK) at the partner sites in Berlin and Munich. The median age at diagnosis was 65y (range: 21-89y). FLT3 internal tandem duplication (ITD) and NPM1 mutation status at diagnosis was available for all but one patient (FLT3-ITD-/NPM1-, n=5; FLT3-ITD+/NPM1-, n=9; FLT3-ITD-/NPM1+, n=16; FLT3-ITD+/NPM1+, n=16). On average, 96% of the target sequence was covered at least 10-fold (minimum coverage defined for variant calling). The following criteria were applied for identification of somatic mutations: Variant allele frequency (VAF) ³20% either at diagnosis or at relapse and VAF 〈 5% at remission. We filtered for mutations with translational consequences, excluded known error-prone genes and dismissed common germline polymorphisms (dbSNP 138; MAF³1%). Thereby, we identified a total of 777 genes to be somatically mutated, of which 104 were recurrently affected. Mutation frequencies of 18 genes found mutated both in our cohort and in 86 CN-AML patients reported by The Cancer Genome Atlas (TCGA, NEJM 2013) are shown in Figure 1 A. Seven genes were recurrently altered only at diagnosis (e.g. CBL) and 16 genes were recurrently altered only at relapse in our cohort (e.g. KDM6A, SF3B1 and SRSF2). At diagnosis, the number of somatic mutations per patient varied between 5 and 34 (median: 17). At relapse, the number of mutations ranged from 2 to 57 (median: 17). Mutations in several AML-associated genes (e.g. DNMT3A, RUNX1, IDH1 and IDH2) showed similar VAFs at diagnosis and relapse in the vast majority of cases. In contrast, WT1 mutations were gained at relapse in 4/6 (67%) patients and FLT3 point mutations were below 5% VAF at relapse in 7/12 (58%) patients initially positive for these variants. In total, 92 mutations present at diagnosis were lost at relapse (VAF 〈 5%) while 116 mutations were acquired during disease progression. Based on cytogenetics and copy number alteration (CNA) analysis of exome data, we detected partial or complete gain/loss of chromosomes. Five patients (11%) acquired chromosomal alterations during disease progression. Trisomy 8 was the only recurrent chromosomal abnormality gained in 3 patients (6%) at relapse. To detect pre-leukemic lesions, we evaluated our exome data for the persistence of mutations in 40 AML-associated driver genes during remission. We limited our analysis to mutations previously reported as confirmed somatic (COSMIC annotation) to avoid confounding with private germline variants. Strikingly, 25/47 (53%) of patients carried non-silent mutations in these genes with VAF 〉 5% (median: 31%, range: 9-75%) at remission (30 mutations in total). In contrast, other mutations (e.g. in FLT3 or NRAS) found in these patients could not be detected at remission, consistent with therapy response. Based on VAF, 23/30 (77%) persistent mutations showed a dynamic pattern over the course of disease with a relative change of 〉 20%, likely due to partial eradication/expansion of leukemic or pre-leukemic clones. Persistent mutations in DNMT3A, TET2, RUNX1 and IDH2 were observed in 28%, 11%, 6% and 4% of patients in our cohort, respectively (Figure 1 B). Among patients with DNMT3A mutation at diagnosis, those with persistent mutations tended to relapse earlier (n=13; median time to relapse 270 days; range: 81-586) than patients without detectable DNMT3A mutations at remission (n=7; median time to relapse 508 days; range: 235-1697; p=0.111). Our findings provide insights into the genetic evolution during the course of disease in a large cohort of relapsed CN-AML. Information about the dynamics of genetic lesions (e.g. persistent or relapse-specific mutations) may have prognostic significance and allow for tailored approaches to treat or to prevent relapse of AML. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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