Expression data from ALL diagnosis and relapse pediatric acute lymphoblastic leukemia cases
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE28460 | GEO | 2011/09/23
SECONDARY ACCESSION(S): PRJNA143229
REPOSITORIES: GEO
Similar Datasets
Project description:There is a distinct signature of differentially expressed probes from diagnosis to relapse Gene expression profiles of pediatric patients with B-precursor ALL were compared to at 2 time points, diagnosis and relapse. The overall design was a comparison of gene expression at diagnosis and relapse within individual patients. A subset analysis (comparing diagnosis to relapse expression within individuals), was done for early relapse (less than 36 months) cases only and late relapse (greater than 36 months) cases only.
2011-09-23 | E-GEOD-28460 | biostudies-arrayexpress
Project description:Relapse samples have high methylation level than dianosis samples Promoter mehtylation level was measured and compared between relapse and diagnosis samples
2011-09-22 | E-GEOD-28461 | biostudies-arrayexpress
Project description:Relapse samples have high methylation level than dianosis samples
2011-09-23 | GSE28461 | GEO
Project description:Despite high survival rates in pediatric acute lymphoblastic leukemia (ALL), relapse remains a leading cause of cancer-related death in children. Many patients suffer from adverse drug effects during treatment and other complications later in life, and would benefit from improved relapse prediction at diagnosis. We performed whole genome sequencing of samples collected at diagnosis, relapse(s) and remission from 29 Nordic patients with pediatric ALL. Somatic mutations were called using individually matched remission samples as controls, and allelic expression of the mutations in the ALL cells was assessed using RNA-sequencing. These analyses identified 29 previously known ALL driver genes, of which nine genes carried recurrent protein-coding mutations in our sample set, and 20 mutated driver genes occurred in individual samples. We detected putative non-coding mutations in regulatory regions of seven additional genes that have not been described previously in ALL. We observed an increased burden of somatic mutations at relapse. Cluster analysis of hundreds of somatic mutations per sample revealed three distinct evolutionary trajectories during ALL progression. In an “ancestral clone trajectory”, the major cell clone at relapse originated from a founder clone that was not detectable at diagnosis. In a “rising diagnostic clone trajectory”, a minor cell clone at diagnosis expanded to form the major cell clone at relapse. In a “persistent diagnostic clone trajectory”, the major cell clone at diagnosis persisted during treatment until relapse. The evolutionary trajectories provide insight into the mutational mechanisms leading relapse in ALL and could offer biomarkers for improved risk prediction in individual patients.
2021-08-11 | GSE163634 | GEO
Project description:Mutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemia
| PRJNA686976 | ENA
Project description:Background In childhood acute lymphoblastic leukemia (ALL), central nervous system (CNS) involvement is rare at diagnosis (1-4%), but more frequent at relapse (~30%). Minimal residual disease diagnostics predict most bone marrow (BM) relapses, but likely cannot predict isolated CNS relapses. Consequently, CNS relapses may become relatively more important. Because of the significant late sequelae of CNS treatment, early identification of patients at risk of CNS relapse is crucial. Methods Gene expression profiles of ALL cells from cerebrospinal fluid (CSF) and ALL cells from BM were compared and differences were confirmed by real-time quantitative PCR. For a selected set of overexpressed genes, protein expression levels of ALL cells in CSF at relapse and of ALL cells in diagnostic BM samples were evaluated by 8-color flow cytometry. Results CSF-derived ALL cells showed a clearly different gene expression profile than BM-derived ALL cells, with differentially-expressed genes (including SCD and OPN) involved in survival and apoptosis pathways and linked to the JAK-STAT pathway. Flowcytometric analysis showed that a subpopulation of ALL cells (>1%) with a â??CNS signatureâ?? (SCD positivity and increased OPN expression) was already present in BM at diagnosis in ALL patients who later developed a CNS relapse, but was <1% or absent in virtually all other patients. Conclusions The presence of a subpopulation of ALL cells with a â??CNS signatureâ?? at diagnosis may predict isolated CNS relapse. Such information can be used to design new diagnostic and treatment strategies that aim at prevention of CNS relapse with reduced toxicity. We compared gene expression profiles of ALL cells obtained from cerebrospinal fluid (n=8) with profiles of ALL cells obtained from bone marrow at diagnosis (n=22) or at relapse (n=20)
2015-12-31 | E-GEOD-60926 | biostudies-arrayexpress
Project description:We surveyed the DNA methylation levels of 435,941 CpG sites in samples from 764 children at diagnosis of ALL and from 27 children at relapse. This survey uncovered four characteristic methylation signatures. First, compared with control blood cells, the methylomes of ALL cells shared 9,406 predominantly hypermethylated CpG sites, independent of cytogenetic background. Second, each cytogenetic subtype of ALL displayed a unique set of hyper- and hypomethylated CpG sites. The CpG sites that constituted these two signatures differed in their functional genomic enrichment to regions with marks of active or repressed chromatin. Third, we identified subtype-specific differential methylation in promoter and enhancer regions that were strongly correlated with gene expression. Fourth, a set of 6,612 CpG sites was predominantly hypermethylated in ALL cells at relapse, compared with matched samples at diagnosis. Analysis of relapse-free survival identified CpG sites with subtype-specific differential methylation that divided the patients into different risk groups, depending on their methylation status. The DNA methylation levels of primary pediatric ALL samples taken at diagnosis (n= 764), remission(n=86), first relapse (n=27), second relapse (n=5), fractionated blood cells from healthy blood donors (n=51), and methylation +/- controls (n=11) were analyzed with the Illumina Infinium HumanMethylation 450k BeadChips. One ALL sample was run in duplicate (technical replicate).
2013-09-18 | E-GEOD-49031 | biostudies-arrayexpress
Project description:Background In childhood acute lymphoblastic leukemia (ALL), central nervous system (CNS) involvement is rare at diagnosis (1-4%), but more frequent at relapse (~30%). Minimal residual disease diagnostics predict most bone marrow (BM) relapses, but likely cannot predict isolated CNS relapses. Consequently, CNS relapses may become relatively more important. Because of the significant late sequelae of CNS treatment, early identification of patients at risk of CNS relapse is crucial. Methods Gene expression profiles of ALL cells from cerebrospinal fluid (CSF) and ALL cells from BM were compared and differences were confirmed by real-time quantitative PCR. For a selected set of overexpressed genes, protein expression levels of ALL cells in CSF at relapse and of ALL cells in diagnostic BM samples were evaluated by 8-color flow cytometry. Results CSF-derived ALL cells showed a clearly different gene expression profile than BM-derived ALL cells, with differentially-expressed genes (including SCD and OPN) involved in survival and apoptosis pathways and linked to the JAK-STAT pathway. Flowcytometric analysis showed that a subpopulation of ALL cells (>1%) with a “CNS signature” (SCD positivity and increased OPN expression) was already present in BM at diagnosis in ALL patients who later developed a CNS relapse, but was <1% or absent in virtually all other patients. Conclusions The presence of a subpopulation of ALL cells with a “CNS signature” at diagnosis may predict isolated CNS relapse. Such information can be used to design new diagnostic and treatment strategies that aim at prevention of CNS relapse with reduced toxicity.
2015-12-31 | GSE60926 | GEO
Project description:The mechanisms driving clonal heterogeneity and evolution in relapsed pediatric acute lymphoblastic leukemia (ALL) are not fully understood. We performed whole genome sequencing of samples collected at diagnosis, relapse(s) and remission from 29 Nordic patients. Somatic point mutations and large-scale structural variants were called using individually matched remission samples as controls, and allelic expression of the mutations was assessed in ALL cells using RNA-sequencing. We observed an increased burden of somatic mutations at relapse, compared to diagnosis, and at second relapse compared to first relapse. In addition to 29 known ALL driver genes, of which nine genes carried recurrent protein-coding mutations in our sample set, we identified putative non-protein coding mutations in regulatory regions of seven additional genes that have not previously been described in ALL. Cluster analysis of hundreds of somatic mutations per sample revealed three distinct evolutionary trajectories during ALL progression from diagnosis to relapse. The evolutionary trajectories provide insight into the mutational mechanisms leading relapse in ALL and could offer biomarkers for improved risk prediction in individual patients.
| S-EPMC8346595 | biostudies-literature
Project description:35 paired samples from initial diagnosis and first marrow relapse. Genes and pathways differentiating diagnosis and relapse were identified. Potential therapeutic targets were also identified. Keywords: paired
2006-03-20 | GSE3910 | GEO