Transcriptomics

Dataset Information

10

Transcription profiling by array for molecular classification of human AIDS-related lymphomas


ABSTRACT: Gene expression profiling (GEP) of ARL patient samples was done to determine whether gene expression signatures derived from HIV- lymphomas retained their ability to molecularly classify HIV+ lymphomas. The GEP-based predictors robustly classified ARL tumors, distinguishing molecular Burkitt lymphoma (BL) and diffuse large B-cell lymphoma (DLBCL), as well as activated B-cell-like (ABC) and germinal center B-cell-like (GCB) molecular subtypes of DLBCL. Gene expression profiles were used to identify coordinately regulated gene sets and pathways that differ between HIV+ and HIV- lymphomas of corresponding molecular subtype. Frozen tumor biopsies were obtained from 20 HIV-positive patients with an AIDS-defining lymphoma. Cases were ascertained at the University of Nebraska Medical Center and through the NCI AIDS and Cancer Specimen Resource tumor bank. Sufficient RNA for hybridization to Affymetrix U133 plus 2 arrays was obtained on 17 ARL cases. Details of all 20 HIV-positive patients can be found in the supplementary file linked below.

ORGANISM(S): Homo sapiens  

SUBMITTER: Wing C Chan   Karen Deffenbacher  Karen E Deffenbacher 

PROVIDER: E-GEOD-17189 | ArrayExpress | 2010-03-07

SECONDARY ACCESSION(S): GSE17189PRJNA119689

REPOSITORIES: GEO, ArrayExpress

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Publications

Recurrent chromosomal alterations in molecularly classified AIDS-related lymphomas: an integrated analysis of DNA copy number and gene expression.

Deffenbacher Karen E KE   Iqbal Javeed J   Liu Zhongfeng Z   Fu Kai K   Chan Wing C WC  

Journal of acquired immune deficiency syndromes (1999) 20100501 1


HIV-infected individuals have a significantly increased risk of developing an aggressive B-cell Non-Hodgkin Lymphoma relative to HIV(-) persons. Due to their aggressive nature, AIDS-related lymphomas (ARL) can also be more difficult to classify. Genetic abnormalities are known to play a significant role in HIV(-) lymphomagenesis. To aid in case classification and identify key pathogenetic events in ARL, we analyzed gene expression data and somatic DNA copy number changes by high-resolution array  ...[more]

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