Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA172565 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description: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.
2010-03-07 | E-GEOD-17189 | biostudies-arrayexpress
Project description: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.
2012-07-18 | GSE17372 | GEO
Project description: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.
2010-03-01 | GSE17189 | GEO
Project description: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 below. Third party array data from HIV- lymphomas of corresponding molecular subtype were used for the comparison and molecular classification of the HIV+ cases in this study. The third party HIV- lymphoma samples include the following. [1] HIV- lymphoma, BL cases: 84 samples profiled on the Affymetrix HG U133 Plus 2 array. The data are publicly available on the website companion to Dave et al. NEJM 2006; Volume 354:13-24 (http://llmpp.nih.gov/BL/) and were used 'as is' (ie, not reanalyzed). [2] HIV- lymphoma, DLBCL cases: 200 of the 414 cases in Series GSE10846 (listed in the supplementary file below). These included all R-CHOP treated cases of either ABC or GCB subtype. These data were also used as is. These data were published in Lenz et al. NEJM 2008; Volume 359: 2313-2323.
2012-07-17 | E-GEOD-17372 | biostudies-arrayexpress
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-.
2011-07-17 | E-GEOD-22420 | biostudies-arrayexpress
Project description:CGCI: HIV+ Tumor Molecular Characterization Project (HTMCP) – Lung Cancer (LC)
| PRJNA172566 | ENA
Project description:CGCI: HIV+ Tumor Molecular Characterization Project (HTMCP) – Cervical Cancer (CC)
| PRJNA172569 | ENA
Project description:Follicular lymphoma (FL) is one of the most common types of indolent B-cell lymphoma in Western countries. FL commonly transforms to more aggressive diffuse large B-cell lymphoma (DLBCL) at reported frequencies between 15 - 60%. We have used microarray comparative genomic hybridisation (aCGH) at 1 Mb resolution to study copy number changes in paired tumor samples (primary FL and a subsequent tDLBCL) as well as de novo DLBCL cases to outline genetic mechanisms of transformation from follicular lymphoma to diffuse large B-cell lymphoma. Single hybridization per case. 21 FL, 31 transformed DLBCL, 29 de novo DLBCL (10 GC and 19 non-GC DLBCL). Tumor labelled with Cy5 and reference with Cy3. Mixture of 20 normal male or female genomic DNA was used in sex-mismatched hybridization.
2014-04-18 | E-GEOD-56884 | biostudies-arrayexpress
Project description:Transcriptomics and genetic characterization of Diffuse large B-cell lymphoma (DLBCL) have increased the understanding of the pathogenesis of the disease and provided potential novel therapeutic targets. This dataset collects transcriptomic and methylation assays for 168 DLBCL tissue samples.
2021-01-21 | GSE145043 | GEO
Project description:Transcriptional and genomic profiling study of HIV positive and HIV negative Diffuse Large B-Cell Lymphoma (DLBCL). Tumors were subtyped using the Lymph2Cx assay. Only GCB (germinal center like B-cell) subtypes were then subjected to digitial gene expression profiling and array comparative genomic hybridization (aCGH). The study used DNA extracted from FFPE DLBCL tumors derived from HIV(+) and HIV(-) patients to assess copy number variation differences between the HIV(+) and HIV(-) cohorts. aCGH data was correlated with gene expression & IHC data.
2019-06-03 | GSE119536 | GEO