Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA397377 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5904940_1.fastq.gz | Fastqsanger.gz | |||
| SRR5904940_2.fastq.gz | Fastqsanger.gz | |||
| SRR5904941.fastq.gz | Fastqsanger.gz | |||
| SRR5904941_1.fastq.gz | Fastqsanger.gz | |||
| SRR5904941_2.fastq.gz | Fastqsanger.gz |
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Project description:This SuperSeries is composed of the following subset Series: GSE28460: Expression data from ALL diagnosis and relapse pediatric acute lymphoblastic leukemia cases GSE28461: Promoter methylation data from ALL diagnosis and relapse pediatric acute lymphoblastic leukemia cases Refer to individual Series
2011-09-22 | E-GEOD-28462 | biostudies-arrayexpress
Project description:Background: The clonal basis of relapse in acute lymphoblastic leukemia (ALL) is complex and not fully understood. Methods: Next-generation sequencing (NGS), array comparative genomic hybridization (aCGH), and multiplex-ligation-dependent probe amplification (MLPA) were carried out in matched diagnosis-relapse samples from 13 B-cell precursor acute lymphoblastic leukemia (BCP-ALL) patients to identify patterns of genetic evolution that could account for the phenotypic changes associated with disease relapse. Findings: The integrative genomic analysis of aCGH, MLPA and NGS revealed that 100% of BCP-ALL patients showed at least one genetic alteration at diagnosis and relapse. In addition, there was a significant increase in the frequency of chromosomal lesions at the time of relapse (median, 6 alterations per sample) relative to that at diagnosis (median, 47 alterations) (p = 0.019). The combination of MLPA and aCGH techniques showed that IKZF1 was the most frequently deleted gene. Notably, TP53 was the most frequently mutated gene at relapse (31%). Two TP53 mutations were detected only at relapse, whereas the three others showed an increase of their mutational burden at relapse. Interpretation: Clonal evolution patterns were heterogeneous, involving acquisition, loss and maintenance of lesions at relapse. Therefore, this study confirmed that BCP-ALL is a genetically dynamic disease with distinct genetic profiles at diagnosis and relapse. The combination of the NGS, aCGH, and MLPA approaches enables better molecular characterization of the genetic profile in ALL patients during the evolution from diagnosis to relapse.
2020-08-12 | GSE128031 | GEO
Project description:A comparison of RNA expression profiles from leukemic cells of 8 single B-ALL patients at diagnosis and relapse. For all patients, clonality of the blast cells at diagnosis and relapse was demonstrated to be the same (Germano, G., del Giudice, L., Palatron, S., Giarin, E., Cazzaniga, G., Biondi, A., Basso, G., Clonality profile in relapsed precursor-B-ALL children by GeneScan and sequencing analyses. Consequences on minimal residual disease monitoring. Leukemia, 2003). The study protocol was approved by the Research committee of the AIEOP and written informed consent was obtained from all participants before samples were taken. RNA extracted from BM samples was used for microarray analysis. The blast cell infiltration both at diagnosis and relapse was 75% and mononuclear cell were isolated using a Lymphoprep density gradient (1.077 g/ml, Nycomed Pharma, Oslo, Norway). RNA was extracted from blast cells at diagnosis and relapse and both samples were hybridized on an MWG 30K Human Array A (MWG, München) after direct labeling using two different fluorochromes (Cy3 and Cy5) for the respective samples. Keywords = Homo sapiens, B-lymphoblastic leukemia, diagnosis, relapse
2003-06-13 | GSE416 | GEO
Project description:Almost a quarter of pediatric patients with Acute Lymphoblastic Leukemia (ALL) suffer from relapses. The biological mechanisms underlying therapy response and development of relapses have remained unclear. In an attempt to better understand this phenomenon, we have analyzed 41 matched diagnosis relapse pairs of ALL patients using genomeâ??wide expression arrays (82 arrays) on purified leukemic cells. In roughly half of the patients very few differences between diagnosis and relapse samples were found (â??stable groupâ??), suggesting that mostly extra-leukemic factors (e.g., drug distribution, drug metabolism, compliance) contributed to the relapse. Therefore, we focused our further analysis on 20 samples with clear differences in gene expression (â??skewed groupâ??), reasoning that these would allow us to better study the biological mechanisms underlying relapsed ALL. After finding the differences between diagnosis and relapse pairs in this group, we identified four major gene clusters corresponding to several pathways associated with changes in cell cycle, DNA replication, recombination and repair, as well as B cell developmental genes. We also identified cancer genes commonly associated with colon carcinomas and ubiquitination to be upregulated in relapsed ALL. Thus, about half of relapses are due to selection or emergence of a clone with deregulated expression of a genes involved in pathways that regulate B cell signaling, development, cell cycle, cellular division and replication. The study contains 41 pairs of samples taken from patients at diagnosis and relapse (a total of 82 arrays).
2010-03-23 | E-GEOD-18497 | biostudies-arrayexpress
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.
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Project description:Expression data for diagnosis acute lymphoblastic leukemia samples
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Project description:Array comparative genomic hybridization data for 372 diagnosis pediatric acute lymphoblastic leukemia samples.
2023-03-13 | GSE184692 | GEO
Project description:Relapse of acute myeloid leukemia (AML) is highly aggressive and often treatment refractory. We analyzed previously published AML relapse cohorts and found that 40% of relapses occur without changes in driver mutations, suggesting that non-genetic mechanisms drive relapse in a large proportion of cases. We therefore characterized epigenetic patterns of AML relapse using 26 matched diagnosis-relapse samples with ATAC-seq. This analysis identified a relapse-specific chromatin accessibility signature for mutationally stable AML, suggesting that AML undergoes epigenetic evolution at relapse independent of mutational changes. Analysis of leukemia stem cell (LSC) chromatin changes at relapse indicated that this leukemic compartment underwent significantly less epigenetic evolution than non-LSCs, while epigenetic changes in non-LSCs reflected overall evolution of the bulk leukemia. Finally, we used single-cell ATAC-seq paired with mitochondrial sequencing (mtscATAC) to map clones from diagnosis into relapse along with their epigenetic features. We found that distinct mitochondrially-defined clones exhibit more similar chromatin accessibility at relapse relative to diagnosis, demonstrating convergent epigenetic evolution in relapsed AML. These results demonstrate that epigenetic evolution is a feature of relapsed AML and that convergent epigenetic evolution can occur following treatment with induction chemotherapy.
2024-04-17 | GSE256495 | GEO
Project description:Almost a quarter of pediatric patients with Acute Lymphoblastic Leukemia (ALL) suffer from relapses. The biological mechanisms underlying therapy response and development of relapses have remained unclear. In an attempt to better understand this phenomenon, we have analyzed 41 matched diagnosis relapse pairs of ALL patients using genome–wide expression arrays (82 arrays) on purified leukemic cells. In roughly half of the patients very few differences between diagnosis and relapse samples were found (“stable group”), suggesting that mostly extra-leukemic factors (e.g., drug distribution, drug metabolism, compliance) contributed to the relapse. Therefore, we focused our further analysis on 20 samples with clear differences in gene expression (“skewed group”), reasoning that these would allow us to better study the biological mechanisms underlying relapsed ALL. After finding the differences between diagnosis and relapse pairs in this group, we identified four major gene clusters corresponding to several pathways associated with changes in cell cycle, DNA replication, recombination and repair, as well as B cell developmental genes. We also identified cancer genes commonly associated with colon carcinomas and ubiquitination to be upregulated in relapsed ALL. Thus, about half of relapses are due to selection or emergence of a clone with deregulated expression of a genes involved in pathways that regulate B cell signaling, development, cell cycle, cellular division and replication.
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Project description:Expression data from ALL diagnosis and relapse pediatric acute lymphoblastic leukemia cases
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