Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Gene Expression Profile of 53 human T-ALL samples collected in human clinical trial E2993 (Marks et al., 2009)


ABSTRACT: To analyze the prognostic relevance of transcriptional profiling in adult T-ALL, we analyzed a clinical series of 53 primary leukemia samples uniformly treated according to the ECOG E2993 protocol using gene expression oligonucleotide microarrays. Unsupervised analysis and consensus clustering of microarray gene expression data in this series revealed the presence of 2 stable gene expression clusters corresponding to early immature (n = 28) and cortical/mature (n = 25) adult T-ALLs respectively. Early immature T-ALLs show a gene expression signature related to hematopoietic stem cells and myeloid progenitors that was recently linked to a group of childhood T-ALLs with poor prognosis. Notably, univariate analysis in our patient series confirmed that early immature adult T-ALL is associated with poor prognosis and reduced overall survival compared with cortical/mature adult T-ALL (P = 0.0197) 53 adult T-ALL samples were analyzed

ORGANISM(S): Homo sapiens

SUBMITTER: Alberto Ambesi-Impiombato 

PROVIDER: E-GEOD-42328 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications


Adult T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic tumor associated with poor outcome. In this study, we analyzed the prognostic relevance of genetic alterations, immunophenotypic markers, and microarray gene expression signatures in a panel of 53 adult T-ALL patients treated in the Eastern Cooperative Oncology Group E2993 clinical trial. An early immature gene expression signature, the absence of bi-allelic TCRG deletion, CD13 surface expression, heterozygous deletio  ...[more]

Similar Datasets

2013-08-02 | GSE42328 | GEO
2011-11-05 | E-GEOD-33469 | biostudies-arrayexpress
2013-06-18 | GSE48046 | GEO
2013-06-18 | E-GEOD-48046 | biostudies-arrayexpress
2011-11-24 | GSE33820 | GEO
2019-12-09 | GSE131184 | GEO
2011-11-24 | E-GEOD-33820 | biostudies-arrayexpress
2014-10-14 | E-GEOD-62156 | biostudies-arrayexpress
2012-11-07 | GSE39141 | GEO
2014-10-14 | GSE62156 | GEO