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accession-icon GSE3912
First bone marrow relapse with or without initial diagnosis
  • organism-icon Homo sapiens
  • sample-icon 113 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Biologic pathways associated with relapse in childhood acute lymphoblastic leukemia: a Children's Oncology Group study.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE3910
35 patients at diagnosis and relapse
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

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.

Publication Title

Biologic pathways associated with relapse in childhood acute lymphoblastic leukemia: a Children's Oncology Group study.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE17195
Germline genomic variations associated with childhood acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We identified germline single nucleotide polymorphisms (SNPs) associated with childhood acute lymphoblastic leukemia (ALL) and its subtypes. Using the Affymetrix 500K Mapping array and publicly available genotypes, we identified 18 SNPs whose allele frequency differed (P<1x10-5) between a pediatric ALL population (n=317) and non-ALL controls (n=17,958). Six of these SNPs differed (P0.05) in allele frequency among four ALL subtypes. Two SNPs in ARID5B not only differed between ALL and non-ALL groups (rs10821936, P=1.4x10-15, odds ratio[OR]=1.91; rs10994982, P=5.7x10-9, OR=1.62) but also distinguished B-hyperdiploid ALL from other subtypes (rs10821936, P=1.62 x10-5, OR=2.17; rs10994982, P=0.003, OR 1.72). These ARID5B SNPs also distinguished B-hyperdiploid ALL from other subtypes in an independent validation cohort (n=124 children with ALL) (P=0.003 and P=0.0008, OR 2.45 and 2.86, respectively) and were associated with methotrexate accumulation and gene expression pattern in leukemic lymphoblasts. We conclude that germline genomic variations affect susceptibility to and characteristics of specific ALL subtypes.

Publication Title

Germline genomic variants associated with childhood acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE28462
Integrated Genomic Analysis of Relapsed Childhood Acute Lymphoblastic Leukemia reveals therapeutic strategies
  • organism-icon Homo sapiens
  • sample-icon 98 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrated genomic analysis of relapsed childhood acute lymphoblastic leukemia reveals therapeutic strategies.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE28460
Expression data from ALL diagnosis and relapse pediatric acute lymphoblastic leukemia cases
  • organism-icon Homo sapiens
  • sample-icon 98 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

There is a distinct signature of differentially expressed probes from diagnosis to relapse

Publication Title

Integrated genomic analysis of relapsed childhood acute lymphoblastic leukemia reveals therapeutic strategies.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon SRP009840
Outgrowth of Clones Carrying Mutations in Cytosolic 5’-Nucleotidase II in Childhood Relapsed Acute Lymphoblastic Leukemia
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We profiled the transcriptome of matched diagnosis and relapse samples from 10 pediatric B precursor Acute Lymphoblastic Leukemia (ALL) patients using massively parallel sequencing (RNA-Seq) technology to identify novel mutations specific at disease recurrence.

Publication Title

Relapse-specific mutations in NT5C2 in childhood acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20910
Expression data from Down syndrome and non-Down syndrome pediatric acute lymphoblastic leukemia cases
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling (GEP) can reveal characteristic signatures associated with distinct biologic subtypes of acute lymphoblastic leukemia (ALL).

Publication Title

Genomic profiling in Down syndrome acute lymphoblastic leukemia identifies histone gene deletions associated with altered methylation profiles.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE58290
Expression data for childhood BCP-ALL xenografts
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Primary xenografts were made from a variety of different high-risk childhood BCP-ALL leukemia samples.

Publication Title

Evaluation of the in vitro and in vivo efficacy of the JAK inhibitor AZD1480 against JAK-mutated acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE21094
Genomic profiling in Down syndrome pediatric acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon

Description

Patients with Down syndrome (DS) and acute lymphoblastic leukemia (ALL) have distinct clinical and biological features. Whereas most DS-ALL cases lack the sentinel cytogenetic lesions that guide risk assignment in childhood ALL, JAK2 mutations and CRLF2 overexpression are highly enriched. To further characterize the unique biology of DS-ALL, we performed genome-wide profiling of 58 DS-ALL and 35 non-Down syndrome (NDS) ALL cases by DNA copy number, loss of heterozygosity, gene expression, and methylation analyses. We report novel deletions within the 6p22 histone gene cluster as significantly more frequent in DS-ALL, occurring in 12 DS (24%) and only a single NDS case (3%) (Fishers exact p = 0.013). Homozygous deletions yielded significantly lower histone expression levels, and were associated with higher methylation levels, distinct spatial localization of methylated promoters, and enrichment of highly methylated genes for specific pathways and transcription factor binding motifs. Gene expression profiling identified CRLF2 overexpression in nearly half DS-ALL cases, and supervised analysis identified an associated 39-gene signature. However, no expression signature was identified for DS-ALL overall, nor for histone status, suggesting that DS-ALL constitutes several, heterogeneous molecular entities. Characterization of pathways associated with histone deletions and high CRLF2 expression may identify opportunities for novel targeted interventions.

Publication Title

Genomic profiling in Down syndrome acute lymphoblastic leukemia identifies histone gene deletions associated with altered methylation profiles.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE68735
caArray_willm-00140: TARGET-ALL Expression: Children's Oncology Group Study 9906 for High-Risk Pediatric ALL
  • organism-icon Homo sapiens
  • sample-icon 204 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene Expression Classifiers for Minimal Residual Disease and Relapse Free Survival Improve Outcome Prediction and Risk Classification in Children with High Risk Acute Lymphoblastic Leukemia: A Children's Oncology Group Study

Publication Title

Gene expression classifiers for relapse-free survival and minimal residual disease improve risk classification and outcome prediction in pediatric B-precursor acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
...

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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