Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

35 patients at diagnosis and relapse

ABSTRACT: 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

ORGANISM(S): Homo sapiens

PROVIDER: GSE3910 | GEO | 2006/03/20

SECONDARY ACCESSION(S): PRJNA94333

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Transcription profiling of human ALL - 35 patients at diagnosis and relapse

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. Experiment Overall Design: 35 patients with samples from initial diagnosis and first marrow relapse.

2008-06-12 | E-GEOD-3910 | biostudies-arrayexpress

7 paired AML Diagnosis vs Relapse patient samples

Project description:MS-based proteomics and phosphoproteomics study based on 7 paired diagnosis-first relapse AML patient samples

2020-06-12 | PXD018359 | Pride

Diagnosis-relapse in ALL

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

Transcription profiling of human ALL patients, first bone marrow relapse with or without initial diagnosis

Project description:This SuperSeries comprises the following subset Series:; GSE3910: 35 patients at diagnosis and relapse; GSE3911: 60 samples obtained at relapse Experiment Overall Design: Refer to individual Series

2008-06-12 | E-GEOD-3912 | biostudies-arrayexpress

Diagnosis-relapse in ALL

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.

2010-03-10 | GSE18497 | GEO

Comparative genomic hybridization by array of human intracranial childhood ependymomas at diagnosis and relapse

Project description:Goal of the experiment : Recurrence is a frequent phenomenon in intracranial childhood ependymomas. To understand this process, we investigated whether the gene expression profiling of matched ependymomas at diagnosis and at relapse could reveal key molecular events involved in tumor progression. To gain new insight in this process and identify mechanisms associated with recurrence, we compared the CGH profiles of local recurrences with the corresponding initial tumors. Brief description We analyzed 17 tumor samples at diagnosis and a total of 27 paired recurrences. Recurrences analyzed occurred after surgery only in 12 cases, surgery plus chemotherapy only in 9 cases and any treatment plus radiotherapy in 6 cases. We compared the level of CGH profile for each tumor at diagnosis and recurrence relative to normal commercial DNA using Agilent 4x44K Human CGH microarrays.

2011-06-20 | E-TABM-1023 | biostudies-arrayexpress

RNA sequencing of paired AML samples at diagnosis and relapse

Project description:RNA sequencing of paired AML samples at diagnosis and relapse

| PRJNA820018 | ENA

Expression data from ALL diagnosis and relapse pediatric acute lymphoblastic leukemia cases

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

Transcriptome analysis of AML samples at diagnosis and relapse after Hematopoietic Stem Cell Transplantation (HSCT)

Project description:Transcriptome profiling of Acute Myeloid Leukemia samples. This dataset includes patients with diagnosis of de novo or secondary AML who experienced non-HLA loss disease relapse after allo-HCT, and for whom paired pre- and post-transplant viable leukemic samples were available.

2019-01-29 | E-MTAB-7456 | biostudies-arrayexpress

Transcriptome analysis of AML samples at diagnosis and relapse after Hematopoietic Stem Cell Transplantation (HSCT)

2019-01-31 | E-MTAB-7628 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data