Characterization of t(15;21) translocations in myeloid disorders
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE71551 | GEO | 2016/07/29
SECONDARY ACCESSION(S): PRJNA291497
REPOSITORIES: GEO
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Project description:We report on two novel t(15;21) alterations [t(15;21)(q24;q22) and t(15;21)(q21;q22)], which led to concurrent disruption of RUNX1 and two translocation partner genes encoding for transcription factors (SIN3A, TCF12) Examination of four different patients with myeloid disorders. 2 out of 4 have been analyzed by means RNAseq
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Project description:In acute myeloid leukemia (AML) non-random clonal chromosome aberrations are detectable in ~55% of adults with AML. Translocation t(8;21)(q22;q22) resulting in the 5'RUNX1/3'RUNX1T1 fusion gene occurs in ~8% of acute myeloid leukemia (AML) cases. Also, insertions ins(8;21) and ins(21;8) have been described that show a broad heterogeneity at the molecular level with inserted fragment sizes ranging from 2.4 to 44 Mb. Microarray-based comparative genomic hybridization (arrayCGH) in 49 intermediate-risk AML and RT-PCR-based screening in 532 AML cases allowed the detection of ins(21;8)/ins(8;21) in three cases; arrayCGH and subsequent RT-PCR revealed an ~0.5 Mb sized inserted fragment generating the 5'RUNX1/3'RUNX1T1 fusion gene in one case with a submicroscopic ins(21;8)(q22;q22q22) whereas the other two cases were identified by banding analysis and RT-PCR, respectively. Gene expression profiling (GEP) and a detailed review of the literature highlighted similar biological features of AML cases with ins(21;8)/ins(8;21) and t(8;21)(q22;q22). Our study demonstrates the potential of high-resolution array-based analysis and GEP and provides further evidence that AML with insertions generating the 5'RUNX1/3'RUNX1T1 fusion not only biologically resemble the t(8;21)(q22;q22) AML subgroup, but might also share their prognostically favorable clinical behavior. Thus, similar treatment options should be considered in these patients. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract.
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Project description:In acute myeloid leukemia (AML) non-random clonal chromosome aberrations are detectable in ~55% of adults with AML. Translocation t(8;21)(q22;q22) resulting in the 5'RUNX1/3'RUNX1T1 fusion gene occurs in ~8% of acute myeloid leukemia (AML) cases. Also, insertions ins(8;21) and ins(21;8) have been described that show a broad heterogeneity at the molecular level with inserted fragment sizes ranging from 2.4 to 44 Mb. Microarray-based comparative genomic hybridization (arrayCGH) in 49 intermediate-risk AML and RT-PCR-based screening in 532 AML cases allowed the detection of ins(21;8)/ins(8;21) in three cases; arrayCGH and subsequent RT-PCR revealed an ~0.5 Mb sized inserted fragment generating the 5'RUNX1/3'RUNX1T1 fusion gene in one case with a submicroscopic ins(21;8)(q22;q22q22) whereas the other two cases were identified by banding analysis and RT-PCR, respectively. Gene expression profiling (GEP) and a detailed review of the literature highlighted similar biological features of AML cases with ins(21;8)/ins(8;21) and t(8;21)(q22;q22). Our study demonstrates the potential of high-resolution array-based analysis and GEP and provides further evidence that AML with insertions generating the 5'RUNX1/3'RUNX1T1 fusion not only biologically resemble the t(8;21)(q22;q22) AML subgroup, but might also share their prognostically favorable clinical behavior. Thus, similar treatment options should be considered in these patients.
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Project description:Acute myeloid leukaemia (AML) is caused by mutations in transcriptional and epigenetic regulator genes impairing myeloid differentiation. The t(8;21)(q22;q22) translocation generates the leukemogenic RUNX1-ETO fusion protein which interferes with the hematopoietic master regulator RUNX1. We previously showed that maintenance of t(8;21) AML is dependent on RUNX1-ETO as its depletion causes extensive changes in transcription factor binding and gene expression as well as myeloid differentiation. How changes in gene expression and binding events are connected within a transcriptional network is unclear. To this end, we assigned cis-regulatory elements to each other using promoter-capture chromosomal conformation assays in the presence and absence of RUNX1-ETO. From these data we constructed a RUNX1-ETO dependent dynamic transcriptional network maintaining AML. Integration of these data with gene expression and transcription factor binding data shows that RUNX1-ETO participates in interactions and that differential cis-element interactions are driven by alterations in the binding of RUNX1-ETO regulated transcription factors.
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Project description:Acute myeloid leukaemia (AML) is caused by mutations in transcriptional and epigenetic regulator genes impairing myeloid differentiation. The t(8;21)(q22;q22) translocation generates the leukemogenic RUNX1-ETO fusion protein which interferes with the hematopoietic master regulator RUNX1. We previously showed that maintenance of t(8;21) AML is dependent on RUNX1-ETO as its depletion causes extensive changes in transcription factor binding and gene expression as well as myeloid differentiation. How changes in gene expression and binding events are connected within a transcriptional network is unclear. To this end, we assigned cis-regulatory elements to each other using promoter-capture chromosomal conformation assays in the presence and absence of RUNX1-ETO. From these data we constructed a RUNX1-ETO dependent dynamic transcriptional network maintaining AML. Integration of these data with gene expression and transcription factor binding data shows that RUNX1-ETO participates in interactions and that differential cis-element interactions are driven by alterations in the binding of RUNX1-ETO regulated transcription factors.
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Project description:Acute myeloid leukemia (AML) is a deadly blood cancer character by an overproduction of immature myeloid cells. AML has a high degree of genetic diversity, and the presence or absence of particular genetic alterations can greatly impact prognosis. In AML, patients with CSF3R mutations exhibit high relapse rates and poor overall survival. A recent study found that 90.5% of patients with CSF3R mutations had cooccurring RUNX1-ETO (8;21), CBFB-MYH11, or CEBPA mutations7. The RUNX1-ETO and CBFB-MYH11 translocations disrupt the core binding factor complex, an important transcriptional regulator in myeloid development. In this study, we evaluated how RUNX1-ETO modifies CSF3RT618I-driven transcriptional changes to promote the production of myeloblasts in AML. We find that RUNX1-ETO accelerates CSF3R-driven oncogenesis both in vitro and in vivo. Furthermore, RUNX1-ETO impairs the ability of CSF3R to drive myeloid differentiation associated transcriptional programs resulting in the production of immature myeloblasts which characterize this disease.
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Project description:Pediatric acute myeloid leukemia (AML) is a heterogeneous disease with respect to biology as well as outcome. In this study, we investigated whether known biological subgroups of pediatric AML are reflected by a common microRNA (miRNA) expression pattern. We assayed 665 miRNAs in 165 pediatric AML samples. First, unsupervised clustering was performed to identify patient clusters with common miRNA expression profiles. Our analysis unraveled 14 clusters, seven of which had a known (cyto-)genetic denominator. Finally, a robust classifier was constructed to discriminate six known molecular aberration groups: 11q23-rearrangements, t(8;21)(q22;q22), inv(16)(p13q22), t(15;17)(q21;q22), NPM1 and CEBPA mutations. The classifier achieved accuracies of 89%, 95%, 95%, 98%, 91% and 96%, respectively. Although lower sensitivities were obtained for the NPM1 and CEBPA (32% and 66%), relatively high sensitivities (84%-94%) were attained for the rest. Specificity was high in all groups (87%-100%). Due to a robust double-loop cross validation procedure we employed, the classifier only used expression of 47 miRNAs to generate the aforementioned accuracies. To validate the 47 miRNA signatures, we applied them to a publicly available adult AML dataset. Despite partial overlap of miRNA platforms and known molecular differences between pediatric and adult AML, the signatures performed reasonably well. This corroborates our claim that the reported miRNA signatures are not dominated by sample size bias in the pediatric AML dataset. We conclude that cytogenetic subtypes of pediatric AML have distinct miRNA expression patterns. Note that, reproducibility of the miRNA signatures in adult dataset suggests that the respective aberrations have a similar biology both in pediatric and adult AML
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