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accession-icon GSE42765
MLLT10 gene recombinations in pediatric T-Acute Lymphoblastic Leukemia
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MLLT10, a 24 exons gene at 10p12, is known in leukemogenesis as partner of MLL or PICALM and recently NAP1L1. We identified HNRNPH1 and DDX3X, genes involved in RNA processing, as new MLLT10 partners in 2 cases of pediatric NOTCH1 positive T-ALL. HNRNPH1/5q35 encodes for a member of the ubiquitously expressed heterogeneous nuclear ribonucleoprotein (hnRNP) subfamily of RNA binding protein. DDX3X/Xp11.3, belongs to the big family of RNA helicases with a DEAD box domain.

Publication Title

New MLLT10 gene recombinations in pediatric T-acute lymphoblastic leukemia.

Sample Metadata Fields

Disease

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accession-icon GSE10792
Genome wide genotyping and gene expression data of childhood B-cell precursor ALL without known genetic aberrations
  • organism-icon Homo sapiens
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute lymphoblastic pediatric leukemia specimens without known genetic hallmarks are examined for hidden genomic aberrancies and related gene expression profiles

Publication Title

Integration of genomic and gene expression data of childhood ALL without known aberrations identifies subgroups with specific genetic hallmarks.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE77416
Deciphering KRAS and NRAS mutated clones dynamics in MLL-AF4 pediatric leukemia by ultra deep sequencing analysis
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We studied the KRAS and NRAS mutational status in pediatric MLL-AF4+ leukemia patients by means of ultra deep amplicon sequencing. The gene expression profiles of RAS wild type and RAS mutated patients were investigated by gene expression analysis. We showed that mutated patients were characterized by a RAS related expression signature.

Publication Title

Deciphering KRAS and NRAS mutated clone dynamics in MLL-AF4 paediatric leukaemia by ultra deep sequencing analysis.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE87865
AKR1C enzymes sustain therapy resistance in pediatric T-ALL
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Although intensification of chemotherapy approaches considerably increased the outcome of pediatric T-cell Acute Lymphoblastic Leukemia (T-ALL) patients, a subgroup of them still experience treatment failure and relapse. In this context, we hypothesized that the Nrf2 signalling and its downstream effectors could be involved in sustain therapy resistance in T-ALL, as previously reported in other cancers. Indeed, in this study we identified the Aldo-Keto Reductase (AKR) enzymes AKR1C1-3, as over-expressed in T-ALL samples from therapy-resistant patients, demonstrating their fundamental role in the control of the response to vincristine (VCR) treatment. In particular, we evidence that the modulation of AKR1C1-3 gene expression and activity is sufficient to strongly affect the sensitivity of T-ALL cell lines and primary cells to VCR treatment, but not to daunorubicin, cytarabine or L-asparaginase. Moreover, we found a correlation between the degree of VCR response and the amount of AKR1Cs expression in patient-derived T-ALL xenografts. Interestingly, we show that daunorubicin and cytarabine are able to induce the over-activation of AKR1C enzymes, thus establishing a potential resistance loop generated by the combination of these drugs during T-ALL treatment.

Publication Title

AKR1C enzymes sustain therapy resistance in paediatric T-ALL.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE79547
Specific expression of microRNAs and snoRNAs characterize ERG-related B cell precursor acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 163 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

High expression of miR-125b-2 and SNORD116 noncoding RNA clusters characterize ERG-related B cell precursor acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE79545
Specific expression of microRNAs and snoRNAs characterize ERG-related B cell precursor acute lymphoblastic leukemia [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 139 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

ERG-related B cell precursor acute lymphoblastic leukemia (BCP ALL) is a recently described childhood ALL subtype characterized by aberrant ERG protein expression and highly recurrent ERG intragenic deletions. Several studies reported a remarkably favourable outcome for ERG-related BCP-ALL despite a high incidence of apparently inauspicious IKZF1 aberrations. In this study we investigated by integrative genomic analysis the main features of the ERG-related group in a cohort of B-others BCP ALL patients enrolled in the AIEOP ALL 2000 therapeutic protocol. We report a specific microRNA and snoRNA signature that characterizes ERG-related patients with up-regulation of the miR-125b-2 cluster on chromosome 21 and several snoRNAs in the Prader-Willi locus at 15q11.2, including the orphan SNORD116 cluster. Given the current lack of parameters for a comprehensive classification we suggest toexploit the noncoding RNAs signature for differential diagnosis of ERG-related patients.

Publication Title

High expression of miR-125b-2 and SNORD116 noncoding RNA clusters characterize ERG-related B cell precursor acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE39816
Linking genomic lesions with minimal residual disease improves prognostic stratification in children with T-cell acute lymphoblastic leukaemia
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

GEP class prediction in association with CI-FISH (42 candidate genes) and patient MRD stratification

Publication Title

Linking genomic lesions with minimal residual disease improves prognostic stratification in children with T-cell acute lymphoblastic leukaemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE77270
The histone deacetylase inhibitor givinostat (ITF2357) exhibits potent anti-tumor activity against CRLF2-rearranged BCP-ALL.
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We studied the in vitro and in vivo efficacy of the HDAC inhibitor Givinostat/ITF2357 in BCP-ALL with CRLF2 rearrangements. We used BCP-ALL CRLF2- rearranged MHH-CALL4 and MUTZ5 cell lines as well as blasts from CRLF2 rearranged BCP-ALL patients and patients derived xenograft samples. We conclude that Givinostat may represent a novel and effective tool, in combination with current chemotherapy, to treat this subsets of ALL with poor prognosis and chemotherapy-related toxicity.

Publication Title

The histone deacetylase inhibitor givinostat (ITF2357) exhibits potent anti-tumor activity against CRLF2-rearranged BCP-ALL.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE74183
Clinical and biological characterization of children with FLT3-ITD-mutated acute myeloid leukemia
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We examined if the minimal residual disease (MRD) and the Allelic Ratio (AR) of FLT3 internal tandem duplication (ITD) mutated patients may be prognostic factors. We correlated these parameters both with event free survival (EFS), with incidence of relapse and with gene expression profile (GEP). GEP showed that patients with high-ITD-AR or persistent MRD had different expression profiles. Results indicated that the ITD-AR levels and the MRD after I induction course are associated with transcriptional oncogenic profiles, which highlight differences in epigenetic control that may explain the variability in outcome among FLT3-ITD patients

Publication Title

Characterization of children with FLT3-ITD acute myeloid leukemia: a report from the AIEOP AML-2002 study group.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE79057
Antileukemic Efficacy of BET Inhibitor in a Preclinical Mouse Model of MLL-AF4+ Infant ALL
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We investigated the anti-leukemic effects of the Bromodomain and Extra Terminal inhibitor I-BET151 on primary MLL-AF4 patient samples, using a xenotransplantation mouse model of MLL+ infant ALL in vivo. We reported that I-BET151 treatment impairs the engraftment and the disease burden of primary MLL+ infant ALL samples transplanted into immunedeficient mice. I-BET151 is able to arrest the growth of leukemic cells by blocking cell division and rapidly inducing apoptosis, through the deregulation of crucial target genes of the BRD4 and HOXA9/HOXA7 network. Moreover I-BET151 sensitizes glucocorticoid-resistant MLL+ cells to Prednisolone. Finally we observed that I-BET151 treatment is even more efficient when used in combination with HDAC inhibitor.

Publication Title

Antileukemic Efficacy of BET Inhibitor in a Preclinical Mouse Model of MLL-AF4<sup>+</sup> Infant ALL.

Sample Metadata Fields

Treatment, Subject

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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)

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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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