Transferring genomics to the clinic: distinguishing Burkitt and Diffuse large B-cell lymphoma
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA284405 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transferring genomics to the clinic: distinguishing Burkitt and Diffuse large B-cell lymphoma (v4)
| PRJNA284407 | ENA
Project description:Transferring genomics to the clinic: distinguishing Burkitt and Diffuse large B-cell lymphoma (v3)
| PRJNA284408 | ENA
Project description:This SuperSeries is composed of the SubSeries listed below.
2015-09-30 | GSE69053 | GEO
Project description:Classifiers based on molecular criteria such as gene expression signatures have been developed to distinguish Burkitt lymphoma and diffuse large B cell lymphoma, which help to explore the intermediate cases where traditional diagnosis is difficult. Transfer of these research classifiers into a clinical setting is challenging because there are competing classifiers in the literature based on different methodology and gene sets with no clear best choice; classifiers based on one expression measurement platform may not transfer effectively to another; and, classifiers developed using fresh frozen samples may not work effectively with the commonly used and more convenient formalin fixed paraffin-embedded samples used in routine diagnosis.Here we thoroughly compared two published high profile classifiers developed on data from different Affymetrix array platforms and fresh-frozen tissue, examining their transferability and concordance. Based on this analysis, a new Burkitt and diffuse large B cell lymphoma classifier (BDC) was developed and employed on Illumina DASL data from our own paraffin-embedded samples, allowing comparison with the diagnosis made in a central haematopathology laboratory and evaluation of clinical relevance.We show that both previous classifiers can be recapitulated using very much smaller gene sets than originally employed, and that the classification result is closely dependent on the Burkitt lymphoma criteria applied in the training set. The BDC classification on our data exhibits high agreement (~95 %) with the original diagnosis. A simple outcome comparison in the patients presenting intermediate features on conventional criteria suggests that the cases classified as Burkitt lymphoma by BDC have worse response to standard diffuse large B cell lymphoma treatment than those classified as diffuse large B cell lymphoma.In this study, we comprehensively investigate two previous Burkitt lymphoma molecular classifiers, and implement a new gene expression classifier, BDC, that works effectively on paraffin-embedded samples and provides useful information for treatment decisions. The classifier is available as a free software package under the GNU public licence within the R statistical software environment through the link http://www.bioinformatics.leeds.ac.uk/labpages/softwares/ or on github https://github.com/Sharlene/BDC.
| S-EPMC4512160 | biostudies-literature
Project description:Gene expression profiling was carried out for RNA extracted from Formalin-fixed, paraffin embedded (FFPE) biopsies of 156 new patients using the Illumina DASL version 4 platform, plus 71 replicate samples from version 3 platform and 12 replicates from GSE32918. Then the patients were classified into BL and DLBCL by moleclar classifier proposed in the article.
2015-09-30 | GSE69051 | GEO
Project description:Gene expression profiling was carried out for RNA extracted from Formalin-fixed, paraffin embedded (FFPE) biopsies for 76 patients using the Illumina DASL version 3 platform. The patients were then classified into BL and DLBCL by moleclar classifier proposed in the article.
2015-09-30 | GSE69049 | GEO
Project description:Burkitt Lymphoma patient samples using gene expression to create a molecular definition of the disease. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated genes during this process. Keywords: clinical history design Samples were obtained from patients with Burkitt lymphoma and gene expression profiling was used to create a molecular definition of the disease. The molecular definition was then used to predict the disease in an independent set of patients with atypical Burkitt lymphoma and diffuse large B cell lymphoma.
2006-07-04 | E-GEOD-4732 | 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:Burkitt lymphoma is characterized by deregulation of MYC, but the contribution of other genetic mutations to the disease is largely unknown. Here, we describe the first completely sequenced genome from a Burkitt lymphoma tumor and germline DNA from the same affected individual. We further sequenced the exomes of 59 Burkitt lymphoma tumors and compared them to sequenced exomes from 94 diffuse large B-cell lymphoma (DLBCL) tumors. We identified 70 genes that were recurrently mutated in Burkitt lymphomas, including ID3, GNA13, RET, PIK3R1 and the SWI/SNF genes ARID1A and SMARCA4. Our data implicate a number of genes in cancer for the first time, including CCT6B, SALL3, FTCD and PC. ID3 mutations occurred in 34% of Burkitt lymphomas and not in DLBCLs. We show experimentally that ID3 mutations promote cell cycle progression and proliferation. Our work thus elucidates commonly occurring gene-coding mutations in Burkitt lymphoma and implicates ID3 as a new tumor suppressor gene.
2013-07-01 | GSE48435 | GEO
Project description:Burkitt lymphoma is characterized by deregulation of MYC, but the contribution of other genetic mutations to the disease is largely unknown. Here, we describe the first completely sequenced genome from a Burkitt lymphoma tumor and germline DNA from the same affected individual. We further sequenced the exomes of 59 Burkitt lymphoma tumors and compared them to sequenced exomes from 94 diffuse large B-cell lymphoma (DLBCL) tumors. We identified 70 genes that were recurrently mutated in Burkitt lymphomas, including ID3, GNA13, RET, PIK3R1 and the SWI/SNF genes ARID1A and SMARCA4. Our data implicate a number of genes in cancer for the first time, including CCT6B, SALL3, FTCD and PC. ID3 mutations occurred in 34% of Burkitt lymphomas and not in DLBCLs. We show experimentally that ID3 mutations promote cell cycle progression and proliferation. Our work thus elucidates commonly occurring gene-coding mutations in Burkitt lymphoma and implicates ID3 as a new tumor suppressor gene. Gene expression profiling on 21 Burkitt lymphomas was performed using standard Affymetrix protocols as described previously. Briefly, 1 μg of total RNA was reverse transcribed, using oligo(dT) primer to synthesize cDNA. T7 primer was used for in vitro transcription, resulting in labeled cRNA, which was fragmented and hybridized to Affymetrix Whole-Genome Gene 1.0 ST microarrays. Microarrays were washed and scanned, and the data were normalized as described previously.
2013-07-01 | E-GEOD-48435 | biostudies-arrayexpress