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  • American Society of Hematology  (3)
  • Bohlander, Stefan K.  (3)
  • Graf, Alexander  (3)
  • Mansmann, Ulrich  (3)
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  • American Society of Hematology  (3)
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  • 1
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 3859-3859
    Abstract: Exome sequencing is widely used and established to detect tumor-specific sequence variants such as point mutations and small insertions/deletions. Beyond single nucleotide resolution, sequencing data can also be used to identify changes in sequence coverage between samples enabling the detection of copy number alterations (CNAs). Somatic CNAs represent gain or loss of genomic material in tumor cells like aneuploidies (e.g. monosomies and trisomies), duplications, or deletions. In order to test the feasibility of somatic CNA detection from exome data, we analyzed 13 acute myeloid leukemia (AML) patients with known cytogenetic alterations detected at diagnosis (n=8) and/or at relapse (n=11). Corresponding remission exomes from all patients were available as germline controls resulting in 19 comparisons of paired leukemia and remission exome data sets. Exome sequencing was performed on a HiSeq 2500 instrument (Illumina) with mean target coverage of 〉 100x. Exons with divergent coverage were detected using a linear regression model on mean exon coverage, and CNAs were called by an exact segmentation algorithm (Rigaill et al. 2012, Bioinformatics). For all samples, cytogenetic information was available either form routine chromosomal analysis or fluorescent in situ hybridization (FISH). Blast count were known for all but one AML sample (n=19). Copy number-neutral cytogenetic alterations such as balanced translocations were excluded from the comparative analysis. By CNA-analysis of exomes we were able to detect chromosomal aberrations consistent with routine cytogenetics in 18 out of 19 (95%) AML samples. In particular, we confirmed 2 out of 2 monosomies (both -7), and 9 out of 10 trisomies (+4, n=1; +8, n=8; +21, n=1), e.g. trisomy 8 in figure 1A. Partial amplifications or deletions of chromosomes were confirmed in 10 out of 10 AML samples (dup(1q), n=3; dup(8q), n=1; del(5q), n=3; del(17p), n=1; del(20q), n=2), e.g. del(5q) in figure 1B. In the one case with inconsistent findings of chromosomal aberrations between exome and cytogenetic data there was a small subclone harboring the alteration described in only 4 out of 21 metaphases (19%). To assess the specificity of our CNA approach, we analyzed the exomes of 44 cytogenetically normal (CN) AML samples. Here we did not detect any CNAs larger than 5 Mb in the vast majority of these samples (43/44, 98%), only one large CNA was detected indicating a trisomy 8. Estimates of the clone size were highly correlated between CNA-analysis of exomes and the parameters from cytogenetics and cytomorphology (p=0.0076, Fisher's exact test, Figure 1C). In CNA-analysis of exomes, we defined the clone size based on the coverage ratio: . Clone size estimation by cytogenetics and cytomorphology was performed by calculating the mean of blast count and abnormal metaphase/interphase count. Of note, clones estimated by CNA-analysis of exomes tended to be slightly larger. This may result from purification by Ficoll gradient centrifugation prior to DNA extraction for sequencing and/or the fact that the fraction of cells analyzed by cytogenetics does not represent the true size of the malignant clone accurately because of differences in the mitotic index between normal and malignant cells. Overall, there was a high correlation between our CNA analysis of exome sequencing data and routine cytogenetics including limitations in the detection of small subclones. Our results confirm that high throughput sequencing is a versatile, valuable, and robust method to detect chromosomal changes resulting in copy number alterations in AML with high specificity and sensitivity (98% and 95%, respectively). Figure 1. (A) Detection of trisomy 8 with an estimated clone size of 100% (B) Detection of deletion on chromosome 5q with an estimated clone size of 90% (C) Correlation of clone size estimation by routine diagnostics and exome sequencing (p=0.0076) Figure 1. (A) Detection of trisomy 8 with an estimated clone size of 100%. / (B) Detection of deletion on chromosome 5q with an estimated clone size of 90%. / (C) Correlation of clone size estimation by routine diagnostics and exome sequencing (p=0.0076) 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: 2015
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 2
    In: Blood, American Society of Hematology, Vol. 122, No. 21 ( 2013-11-15), p. 608-608
    Abstract: Acute myeloid leukemia (AML) with isolated trisomy 13 (AML+13) is rare and frequently associated with FAB M0 morphology. The clinical course is not well characterized but according to the ELN classification of intermediate prognosis. Eighty to one-hundred percent of patients (pts) with AML+13 carry mutations in the RUNX1 gene. Over-expression of FLT3 (located on chromosome 13 [chr 13]) due to the additional gene copy on the third chr 13 was proposed as a mechanism of leukemogenesis in AML+13 (gene dosage hypothesis). We set out to characterize the clinical course of AML+13 pts and elucidate their molecular background using whole exome sequencing, targeted resequencing and gene expression profiling. We identified 23 pts with AML+13 enrolled in a multicenter trial of the German AML Cooperative Group (AMLCG-1999) and compared this group to 386 pts without +13 who were classified in the ELN Intermediate-II genetic category. All pts received intensive induction chemotherapy. There was no significant difference in age, white blood cell or platelet count between the two groups. However, LDH levels were significantly (p=.01) lower in the AML+13 group while bone marrow blast percentage was significantly higher (p=.04). Twelve AML+13 pts (52%) reached complete remission, but all relapsed. Relapse-free and overall survival were inferior in the AML+13 group compared to other ELN Intermediate-II pts (median RFS, 9 vs 15 months, p=.01; median OS, 7 vs. 13 months, p=.03). Remission samples from two AML+13 pts were available as normal control for exome sequencing. Using SureSelect human all exon target enrichment (Agilent) followed by 80bp paired-end sequencing on an Illumina GAIIx platform, we were able to identify non-synonymous leukemia-specific mutations affecting, among others, RUNX1, ASXL1, PTPN11 and CEBPZ. Genes identified by exome sequencing and a panel of genes recurringly mutated in AML were studied by targeted amplicon resequencing in all AML+13 pts with available material (16/23; Figure). As described before, a high incidence of RUNX1 mutations (75%) was identified. In addition, we detected mutations in spliceosome components in 14/16 (88%) of AML+13 pts, including SRSF2 codon 95 mutations in 13/16 pts (81%). One patient without SRSF2 mutation showed a mutation in SF3B1. Moreover, recurring mutations were found in ASXL1 (44%) and BCOR (25%), and were associated with RUNX1 and SRSF2 mutations. Interestingly, both pts without mutations in the splicing machinery had mutations in DNMT3A, which were also mutually exclusive with mutations in RUNX1 or ASXL1. Two pts carried mutations in CEBPZ suggesting that CEBPZ is a novel recurringly mutated gene in AML.FigureMutation frequencies in 16 patients with AML+13Figure. Mutation frequencies in 16 patients with AML+13 To further characterize this genetically homogenous subgroup, we compared gene expression profiles of 9 pts with AML+13 with 509 AML pts without +13. We identified 678 (up-regulated 492; down-regulated 186) probe sets as significantly deregulated. Only 59 (8.7%) of these probe sets were localized on chr 13, but of those, 55 were up-regulated and only 4 were down-regulated. Up-regulated probe sets on chr 13 included FOXO1, FLT3 and RB1. The strongest down-regulated probe set on chr 13 belonged to the tumor suppressor gene SPRY2, which is a negative regulator of receptor tyrosine kinases. Gene set enrichment analysis showed significant deregulation of gene sets associated with regulation of transcription and nuclear transport. In summary, our study is the first to show that AML+13 is significantly associated with inferior OS and RFS compared to other intermediate-risk cytogenetic abnormalities in a homogeneously treated cohort. Furthermore, we present evidence that AML+13 leukemias are a genetically quite homogenous subgroup. AML+13 is not only associated with a high rate of RUNX1 mutations but also with mutations in SRFS2, ASXL1 and BCOR. The incidence of mutations in SRSF2 in AML+13 is the highest of any AML subgroup reported so far. In addition, our gene expression data show a homogenous expression profile associated with AML+13. The striking association of a few recurring mutations in AML+13 suggests a biological relationship with synergistic lesions during leukemogenesis. While mutations in RUNX1, ASXL1 and up-regulation of FLT3 were previously reported as markers of poor prognosis in AML, the combination of these lesions might be responsible for the extremely poor outcome of AML+13. Disclosures: Krebs: Illumina: Honoraria. Greif:Illumina: Honoraria.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2013
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 3
    In: Blood, American Society of Hematology, Vol. 124, No. 8 ( 2014-08-21), p. 1304-1311
    Abstract: AML patients with isolated trisomy 13 have a very poor clinical outcome Isolated trisomy 13 in AML is associated with a high frequency of mutations in SRSF2 (81%) and RUNX1 (75%)
    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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