ALL Translocations
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE3884 | GEO | 2005/12/21
SECONDARY ACCESSION(S): PRJNA104861
REPOSITORIES: GEO
Similar Datasets
Project description:Cell lines and pediatric acute lymphoblastic leukemia samples with either BCR/ABL, TEL/AML1 or MLL abnormalities Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Using regression correlation
2005-12-20 | E-GEOD-3884 | biostudies-arrayexpress
Project description:Abstract: We obtained a global view of gene expression in both cell lines and pediatric acute lymphoblastic leukemia (ALL) samples that harbor one of several selected chromosomal abnormalities. When the cell lines were studied alone, we found that these chromosomal abnormalities were associated with the predominant variation in transcriptional programs across the set of cell lines studied. When cell lines and clinical samples were studied together, we found that each chromosomal abnormality (TEL/AML1, BCR/ABL, or MLL abnormalities) was associated with a characteristic gene expression signature that was shared by both cell lines and clinical samples. However, BCR/ABL was associated with a much more heterogeneous pattern of expression than were TEL/AML1 and MLL abnormalities. This observation has important implications for the study of BCR/ABL ALL. In addition, we systematically identified genes whose expression was associated with TEL/AML1, BCR/ABL, or MLL abnormalities in both clinical samples and cell lines. Although some of these genes have previously been described, many have not previously been reported to be associated with one of these chromosomal abnormalities. Notably, we found that the erythropoietin receptor (EPOR) is consistently highly expressed in TEL/AML1 ALL compared with BCR/ABL or MLL. This SuperSeries is composed of the SubSeries listed below.
2006-03-08 | GSE4384 | GEO
Project description:A set of 37 BCR-ABL positive (21 and 16 of which expressed p185 and p210, respectively) and 17 BCR-ABL negative adult ALL specimens from the ECOG/MRC intergroup study E2993. Gene expression profiling was performed using the 3DNA Array 900 Expression Array Detection Kit (Genisphere, Hatfield, PA), according to the manufacturer's instructions. Universal Human Reference RNA (Stratagene, La Jolla, CA) was used as a reference RNA. The results provide insights into molecular mechanisms and pathways associated with BCR-ABL oncogenesis. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set Computed
2007-07-14 | E-GEOD-5314 | biostudies-arrayexpress
Project description:A set of 37 BCR-ABL positive (21 and 16 of which expressed p185 and p210, respectively) and 17 BCR-ABL negative adult ALL specimens from the ECOG/MRC intergroup study E2993. Gene expression profiling was performed using the 3DNA Array 900 Expression Array Detection Kit (Genisphere, Hatfield, PA), according to the manufacturer's instructions. Universal Human Reference RNA (Stratagene, La Jolla, CA) was used as a reference RNA. The results provide insights into molecular mechanisms and pathways associated with BCR-ABL oncogenesis. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
2007-07-14 | GSE5314 | GEO
Project description:Background; The t(12;21)(p13;q22) translocation is found in 20 to 25% of cases of childhood B-lineage acute lymphoblastic leukemia (B-ALL). This rearrangement results in the fusion of ETV6 (TEL) and RUNX1 (AML1) genes and defines a relatively uniform category, although only some patients suffer very late relapse. TEL/AML1-positive patients are thus an interesting subgroup to study, and such studies should elucidate the biological processes underlying TEL/AML1 pathogenesis. We report an analysis of gene expression in 60 children with B-lineage ALL using Agilent whole genome oligo-chips (44K-G4112A) and/or real time RT-PCR. Results; We compared the leukemia cell gene expression profiles of 16 TEL/AML1-positive ALL patients to those of 44 TEL/AML1-negative patients, whose blast cells did not contain any additional recurrent translocation. Microarray analyses of 26 samples allowed the identification of genes differentially expressed between the TEL/AML1-positive and negative ALL groups. Gene enrichment analysis defined five enriched GO categories: cell differentiation, cell proliferation, apoptosis, cell motility and response to wounding, associated with 14 genes â??RUNX1, TCFL5, TNFRSF7, CBFA2T3, CD9, SCARB1, TP53INP1, ACVR1C, PIK3C3, EGFL7, SEMA6A, CTGF, LSP1, TFPIâ?? highlighting the biology of the TEL/AML1 sub-group. These results were first confirmed by the analysis of an additional microarray data-set (7 patient samples) and second by real-time RT-PCR quantification and clustering using an independent set (27 patient samples). Over-expression of RUNX1 (AML1) was further investigated and in one third of the patients correlated with cytogenetic findings. Conclusions; Gene expression analyses of leukemia cells from 60 children with TEL/AML1-positive and -negative B-lineage ALL led to the identification of five biological processes, associated with 14 validated genes characterizing and highlighting the biology of the TEL/AML1-positive ALL sub-group. Experiment Overall Design: We carried out a prospective multicentric study on childhood B-ALL leukemia to elucidate the molecular processes involved in TEL/AML1-positive leukemia. All the patients included in this study received treatment according to the French FRALLE 2000 trial. We used Agilent whole-genome oligo-chips (44K-G4112A) to compare the gene expression signatures of TEL/AML1-positive patients to those of TEL/AML1-negative patients with no recurrent chimeric products irrespective of their clinical risk category. Previous microarray gene expression studies had revealed the effect of chromosomal alteration on transcription profiles, so we excluded from our cohort those patients with other recurrent chromosomal translocations or fusion transcripts (BCR/ABL, E2A/PBX1, MLL rearrangements). We then searched for the biological pathways associated with genes differentially expressed in TEL/AML1-positive leukemia (ETV6/RUNX1).
2008-06-16 | E-GEOD-9170 | biostudies-arrayexpress
Project description:Childhood acute lymphoblastic leukemia (ALL) comprises a large group of genetic subtypes with a favorable prognosis characterized by a TEL-AML1-fusion, hyperdiploidy (>50 chromosomes) or E2A-PBX1 fusion and a smaller group with unfavorable outcome characterized by either a BCR-ABL-fusion, MLL-rearrangement or T-ALL. About 25% of precursor B-ALL are currently genetically unclassified and have an intermediate prognosis. The present study used genome-wide strategies to reveal new biological insights and advance the prognostic classification of childhood ALL. A double-loop cross validation was used to construct a classifier based on gene expression in ALL cells from 190 newly diagnosed cases (COALL cohort, GEO GSE13425) with a prediction accuracy of 90%. T-ALL, TEL-AML1-positive, hyperdiploid and E2A-rearranged cases were identified with 100% sensitivity and ≥94% specificity. The classifier accuracy was confirmed in an independent cohort of 107 cases (87.9%, DCOG cohort, GEO GSE13351). Keywords: gene expression study for classification of ALL subtypes
2009-01-26 | GSE13425 | GEO
Project description:Childhood acute lymphoblastic leukemia (ALL) comprises a large group of genetic subtypes with a favorable prognosis characterized by a TEL-AML1-fusion, hyperdiploidy (>50 chromosomes) or E2A-PBX1 fusion and a smaller group with unfavorable outcome characterized by either a BCR-ABL-fusion, MLL-rearrangement or T-ALL. About 25% of precursor B-ALL are currently genetically unclassified and have an intermediate prognosis. The present study used genome-wide strategies to reveal new biological insights and advance the prognostic classification of childhood ALL. A double-loop cross validation was used to construct a classifier based on gene expression in ALL cells from 190 newly diagnosed cases (COALL cohort, GEO GSE13425) with a prediction accuracy of 90%. T-ALL, TEL-AML1-positive, hyperdiploid and E2A-rearranged cases were identified with 100% sensitivity and ≥94% specificity. The classifier accuracy was confirmed in an independent cohort of 107 cases (87.9%, DCOG cohort, GEO GSE13351). Keywords: gene expression study for classification of ALL subtypes
2009-01-26 | GSE13351 | GEO
Project description:Childhood acute lymphoblastic leukemia (ALL) comprises a large group of genetic subtypes with a favorable prognosis characterized by a TEL-AML1-fusion, hyperdiploidy (>50 chromosomes) or E2A-PBX1 fusion and a smaller group with unfavorable outcome characterized by either a BCR-ABL-fusion, MLL-rearrangement or T-ALL. About 25% of precursor B-ALL are currently genetically unclassified and have an intermediate prognosis. The present study used genome-wide strategies to reveal new biological insights and advance the prognostic classification of childhood ALL. A double-loop cross validation was used to construct a classifier based on gene expression in ALL cells from 190 newly diagnosed cases (COALL cohort, GEO GSE13425) with a prediction accuracy of 90%. T-ALL, TEL-AML1-positive, hyperdiploid and E2A-rearranged cases were identified with 100% sensitivity and â?¥94% specificity. The classifier accuracy was confirmed in an independent cohort of 107 cases (87.9%, DCOG cohort, GEO GSE13351). Experiment Overall Design: Bone marrow and peripheral blood samples were collected at diagnosis and frozen. After thawing, RNA was extracted, labelled and hybridized to Affymetrix U133 Plus 2.0 arrays.
2009-02-01 | E-GEOD-13351 | biostudies-arrayexpress
Project description:Childhood acute lymphoblastic leukemia (ALL) comprises a large group of genetic subtypes with a favorable prognosis characterized by a TEL-AML1-fusion, hyperdiploidy (>50 chromosomes) or E2A-PBX1 fusion and a smaller group with unfavorable outcome characterized by either a BCR-ABL-fusion, MLL-rearrangement or T-ALL. About 25% of precursor B-ALL are currently genetically unclassified and have an intermediate prognosis. The present study used genome-wide strategies to reveal new biological insights and advance the prognostic classification of childhood ALL. A double-loop cross validation was used to construct a classifier based on gene expression in ALL cells from 190 newly diagnosed cases (COALL cohort, GEO GSE13425) with a prediction accuracy of 90%. T-ALL, TEL-AML1-positive, hyperdiploid and E2A-rearranged cases were identified with 100% sensitivity and â¥94% specificity. The classifier accuracy was confirmed in an independent cohort of 107 cases (87.9%, DCOG cohort, GEO GSE13351). Experiment Overall Design: 190 bone marrow and peripheral blood samples were collected at diagnosis and frozen. They were later thawed and hybridized to Affymetrix U133A arrays.
2009-01-31 | E-GEOD-13425 | biostudies-arrayexpress
Project description:Oncogenic tyrosine kinases, such as BCR-ABL, TEL-ABL, TEL-PDGF-beta-R and FLT3-ITD, play a major role in the development of hematopoietic malignancy. They activate many of the same signal transduction pathways. To identify the critical target genes required for transformation in hematopoietic cells, we used a comparative gene expression strategy in which selective small molecules were applied to 32Dcl3 cells that had been transformed to factor-independent growth by these respective oncogenic alleles. Experiment Overall Design: In our microarray study, we have total 22 samples from four different cell lines expressing BCR-ABL, TEL-ABL, FLT3-ITD or TEL-PDGF-betaR. Each cell line was treated with specific small molecule inhibitors for 4 hours, then RNA was extracted and cRNA was hybridized to Affymetrix U74 oligonucleotide arrays. Untreated cells or cells treated with unrelated inhibitors were used as controls or references. We have three replicates and six references obtained from three independent experiments for cells expressing BCR-ABL or FLT3-ITD. We have one treated and one untreated sample for each cell line expressing TEL-ABL or TEL-PDGF-beta-R.
2008-10-21 | E-GEOD-11794 | biostudies-arrayexpress