Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of Burkitt lymphoma cases

ABSTRACT: Burkitt lymphoma is the commonest cancer in children in Africa. We compared the gene expression profiles of African Burkitt lymphoma patients with those of cases presented in Western countries in both immunocompetent (sporadic Burkitt lymphoma) and HIV-infected patients (immunodeficiency associated Burkitt lymphoma). We used microarrays to detail the global programme of gene expression in different subtypes of Burkitt lymphoma. Lymph-node biopsies were collected at diagnosis. Gene expression profiles were generated with the Affymetrix HG U133 2.0 plus microarray

ORGANISM(S): Homo sapiens

SUBMITTER: Pier Piccaluga

PROVIDER: E-GEOD-26673 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene expression analysis uncovers similarity and differences among Burkitt lymphoma subtypes.

Piccaluga Pier Paolo PP De Falco Giulia G Kustagi Manjunath M Gazzola Anna A Agostinelli Claudio C Tripodo Claudio C Leucci Eleonora E Onnis Anna A Astolfi Annalisa A Sapienza Maria Rosaria MR Bellan Cristiana C Lazzi Stefano S Tumwine Lynnette L Mawanda Michael M Ogwang Martin M Calbi Valeria V Formica Serena S Califano Andrea A Pileri Stefano A SA Leoncini Lorenzo L

Blood 20110118 13

Burkitt lymphoma (BL) is classified into 3 clinical subsets: endemic, sporadic, and immunodeficiency-associated BL. So far, possible differences in their gene expression profiles (GEPs) have not been investigated. We studied GEPs of BL subtypes, other B-cell lymphomas, and B lymphocytes; first, we found that BL is a unique molecular entity, distinct from other B-cell malignancies. Indeed, by unsupervised analysis all BLs clearly clustered apart of other lymphomas. Second, we found that BL subtyp ...[more]

PMID: 21245480

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Project description:Sporadic Burkitt lymphoma (sBL) can be delineated from diffuse large B-cell lymphoma (DLBCL) by a very homogeneous mRNA expression signature. However, it remained unclear whether all three BL variants – sBL, endemic BL (eBL) and immunodeficiency-associated BL (HIV-BL) – represent a uniform biological entity despite their differences in geographical occurrence, association with immunodeficiency and/or incidence of EBV infection. To address this issue, we generated micro RNA (miRNA) profiles from 18 eBL, 31 sBL and 15 HIV-BL cases. In addition, we analyzed the miRNA expression of 86 DLBCL to determine whether miRNA profiles recapitulate the molecular differences between BL and DLBCL evidenced by mRNA profiling. A signature of 38 miRNAs enriched in MYC regulated and NF-kB pathway associated miRNAs was obtained that differentiated BL from DLBCL. The miRNA profiles of sBL and eBL displayed only 6 differentially expressed miRNAs, whereas HIV and EBV infection had no impact on the miRNA profile of BL. In conclusion, miRNA profiling confirms that BL and DLBCL represent distinct lymphoma categories and demonstrates that the three BL variants are representatives of the same biological entity with only marginal miRNA expression differences between eBL and sBL. Archival tumor specimens of 86 diffuse large B-cell lymphoma (DLBCL) and 64 Burkitt lymphoma (BL) patients were obtained. The DLBCL samples have previously been reviewed by a panel of expert hematopathologists and their clinical data were published as part of the RiCOVER-60 trial. The diagnosis of all BL cases was confirmed by histopathology review according to the criteria of the WHO classification. Based on their geographical origin, 31 BL samples were designated as sporadic BL (sBL) and 18 samples as endemic BL (eBL). Fifteen BL cases were diagnosed as immunodeficiency-associated BL (HIV-BL). Of the 18 eBL 14 cases were EBV+ (87.5%), 2 samples were EBV- (12.5%) and for 2 eBL cases the EBV status was unknown. Of the sBL samples 26 were EBV- (86.7%), 4 cases were EBV+ (13.3%) and for 1 case the EBV status was not evaluable. Among the HIV-BL 5 (33.3%) were EBV+, whereas 10 (66.7%) were EBV-.

Dataset Information

Transcription profiling of Burkitt lymphoma cases

Publications

Gene expression analysis uncovers similarity and differences among Burkitt lymphoma subtypes.

Similar Datasets

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