Author
Frederik Damm
Other affiliations: Hannover Medical School, German Cancer Research Center, Institut Gustave Roussy ...read more
Bio: Frederik Damm is an academic researcher from Humboldt University of Berlin. The author has contributed to research in topics: Leukemia & Myeloid. The author has an hindex of 30, co-authored 70 publications receiving 3717 citations. Previous affiliations of Frederik Damm include Hannover Medical School & German Cancer Research Center.
Topics: Leukemia, Myeloid, Mutation, Myelodysplastic syndromes, Myeloid leukemia
Papers
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TL;DR: DNMT3A mutations are frequent in younger patients with AML and are associated with an unfavorable prognosis, which has an unfavorable effect on OS, RFS, and CR rate in NPM1/FLT3-ITD high-risk but not in low-risk patients.
Abstract: Purpose To study the incidence and prognostic impact of mutations in DNA methyltransferase 3A (DNMT3A) in patients with acute myeloid leukemia. Patients and Methods A total of 489 patients with AML were examined for mutations in DNMT3A by direct sequencing. The prognostic impact of DNMT3A mutations was evaluated in the context of other clinical prognostic markers and genetic risk factors (cytogenetic risk group; mutations in NPM1, FLT3, CEBPA, IDH1, IDH2, MLL1, NRAS, WT1, and WT1 SNPrs16754; expression levels of BAALC, ERG, EVI1, MLL5, MN1, and WT1). Results DNMT3A mutations were found in 87 (17.8%) of 489 patients with AML who were younger than 60 years of age. Patients with DNMT3A mutations were older, had higher WBC and platelet counts, more often had a normal karyotype and mutations in NPM1, FLT3, and IDH1 genes, and had higher MLL5 expression levels as compared with patients with wild-type DNMT3A. Mutations in DNMT3A independently predicted a shorter overall survival (OS; hazard ratio [HR], 1.59; 95%...
347 citations
TL;DR: It is proposed that CEBPA(dm) should be clearly defined from CEbPA(sm) AML and considered as a separate entity in the classification of AML.
342 citations
TL;DR: It is suggested that ASXL1 mutations are frequent molecular aberrations in MDS that predict an adverse prognostic outcome and Screening of patients for AS XL1 mutations might be useful for clinical risk stratification and treatment decisions in the future.
Abstract: Purpose To study the incidence and prognostic impact of mutations in Additional sex comb-like 1 (ASXL1) in a large cohort of patients with myelodysplastic syndrome (MDS). Patients, Materials, and Methods Overall, 193 patients with MDS and 65 healthy volunteers were examined for ASXL1 mutations by direct sequencing and for expression levels of ASXL1. The prognostic impact of ASXL1 mutation and expression levels was evaluated in the context of other clinical and molecular prognostic markers. Results Mutations in ASXL1 occurred with a frequency of 20.7% in MDS (n = 40 of 193) with 70% (n = 28) of mutations being frameshift mutations and 30% (n = 12) being heterozygous point mutations leading to translational changes. ASXL1 mutations were correlated with an intermediate-risk karyotype (P = .002) but not with other clinical parameters. The presence of ASXL1 mutations was associated with a shorter overall survival for frameshift and point mutations combined (hazard ratio [HR], 1.744; 95% CI, 1.08 to 2.82; P = ....
262 citations
TL;DR: IDH1 SNP rs11554137 but not IDH1 R132 mutations are associated with an inferior outcome in CN-AML, and the impact was most pronounced in the NPM1/FLT3 high-risk patients.
Abstract: Purpose We assessed the prognostic impact of IDH1 R132 mutations and a known single nucleotide polymorphism (SNP) located in the same exon of the IDH1 gene in patients with cytogenetically normal acute myeloid leukemia (CN-AML) in the context of other prognostic markers. Patients and Methods IDH1 exon four was directly sequenced in 275 CN-AML patients from two subsequent AML multicenter treatment trials and 120 healthy volunteers. Moreover, mutations in NPM1, FLT3, CEBPA, and WT1 were analyzed, and mRNA expression of IDH1 was quantified. Results IDH1 R132 mutations were found in 10.9% of CN-AML patients. IDH1 SNP rs11554137 was found in 12% of CN-AML patients and 11.7% of healthy volunteers. IDH1 R132 mutations had no impact on prognosis. In contrast, IDH1 SNP rs11554137 was an adverse prognostic factor for overall survival in univariate and multivariate analysis. Other significant factors were age, NPM1/FLT3 mutational status, WT1 SNP rs16754, and platelet count. The impact of IDH1 SNP rs11554137 was mos...
240 citations
TL;DR: It is demonstrated that splice gene mutations are among the most frequent molecular aberrations in myelodysplastic syndrome, define distinct clinical phenotypes, and show preferential associations with mutations targeting transcriptional regulation.
217 citations
Cited by
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University of Ulm1, Fred Hutchinson Cancer Research Center2, King's College London3, University of Rome Tor Vergata4, University of Münster5, Brigham and Women's Hospital6, University of Chicago7, Memorial Sloan Kettering Cancer Center8, Leipzig University9, VU University Amsterdam10, University of Valencia11, National Taiwan University12, Monash University13, Alfred Hospital14, Erasmus University Medical Center15, Ohio State University16
TL;DR: An international panel to provide updated evidence- and expert opinion-based recommendations for diagnosis and management of acute myeloid leukemia in adults includes a revised version of the ELN genetic categories, a proposal for a response category based on MRD status, and criteria for progressive disease.
4,066 citations
TL;DR: Clonal hematopoiesis with somatic mutations is readily detected by means of DNA sequencing, is increasingly common as people age, and is associated with increased risks of hematologic cancer and death.
Abstract: Cancers arise from multiple acquired mutations, which presumably occur over many years. Early stages in cancer development might be present years before cancers become clinically apparent. Methods We analyzed data from whole-exome sequencing of DNA in peripheral-blood cells from 12,380 persons, unselected for cancer or hematologic phenotypes. We identified somatic mutations on the basis of unusual allelic fractions. We used data from Swedish national patient registers to follow health outcomes for 2 to 7 years after DNA sampling. Results Clonal hematopoiesis with somatic mutations was observed in 10% of persons older than 65 years of age but in only 1% of those younger than 50 years of age. Detectable clonal expansions most frequently involved somatic mutations in three genes (DNMT3A, ASXL1, and TET2) that have previously been implicated in hematologic cancers. Clonal hematopoiesis was a strong risk factor for subsequent hematologic cancer (hazard ratio, 12.9; 95% confidence interval, 5.8 to 28.7). Approximately 42% of hematologic cancers in this cohort arose in persons who had clonality at the time of DNA sampling, more than 6 months before a first diagnosis of cancer. Analysis of bone marrow–biopsy specimens obtained from two patients at the time of diagnosis of acute myeloid leukemia revealed that their cancers arose from the earlier clones. Conclusions Clonal hematopoiesis with somatic mutations is readily detected by means of DNA sequencing, is increasingly common as people age, and is associated with increased risks of hematologic cancer and death. A subset of the genes that are mutated in patients with myeloid cancers is frequently mutated in apparently healthy persons; these mutations may represent characteristic early events in the development of hematologic cancers. (Funded by the National Human Genome Research Institute and others.)
2,497 citations
TL;DR: Mutational and epigenetic profiling of a large acute myeloid leukemia (AML) patient cohort revealed that IDH1/2-mutant AMLs display global DNA hypermethylation and a specificHypermethylation signature, suggesting a shared proleukemogenic effect.
2,372 citations
01 Jan 2011
TL;DR: The sheer volume and scope of data posed by this flood of data pose a significant challenge to the development of efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data.
Abstract: Rapid improvements in sequencing and array-based platforms are resulting in a flood of diverse genome-wide data, including data from exome and whole-genome sequencing, epigenetic surveys, expression profiling of coding and noncoding RNAs, single nucleotide polymorphism (SNP) and copy number profiling, and functional assays. Analysis of these large, diverse data sets holds the promise of a more comprehensive understanding of the genome and its relation to human disease. Experienced and knowledgeable human review is an essential component of this process, complementing computational approaches. This calls for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data. However, the sheer volume and scope of data pose a significant challenge to the development of such tools.
2,187 citations
TL;DR: Analysis of oncogenic mutations in large, well-characterized cohorts of patients illustrates the interconnections between the cancer genome and disease biology, with considerable potential for clinical application.
1,485 citations