Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Expression Data from Burkitt Lymphoma Patients

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Sandeep Dave 

PROVIDER: E-GEOD-4732 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Molecular diagnosis of Burkitt's lymphoma.

Dave Sandeep S SS   Fu Kai K   Wright George W GW   Lam Lloyd T LT   Kluin Philip P   Boerma Evert-Jan EJ   Greiner Timothy C TC   Weisenburger Dennis D DD   Rosenwald Andreas A   Ott German G   Müller-Hermelink Hans-Konrad HK   Gascoyne Randy D RD   Delabie Jan J   Rimsza Lisa M LM   Braziel Rita M RM   Grogan Thomas M TM   Campo Elias E   Jaffe Elaine S ES   Dave Bhavana J BJ   Sanger Warren W   Bast Martin M   Vose Julie M JM   Armitage James O JO   Connors Joseph M JM   Smeland Erlend B EB   Kvaloy Stein S   Holte Harald H   Fisher Richard I RI   Miller Thomas P TP   Montserrat Emilio E   Wilson Wyndham H WH   Bahl Manisha M   Zhao Hong H   Yang Liming L   Powell John J   Simon Richard R   Chan Wing C WC   Staudt Louis M LM  

The New England journal of medicine 20060601 23

<h4>Background</h4>The distinction between Burkitt's lymphoma and diffuse large-B-cell lymphoma is crucial because these two types of lymphoma require different treatments. We examined whether gene-expression profiling could reliably distinguish Burkitt's lymphoma from diffuse large-B-cell lymphoma.<h4>Methods</h4>Tumor-biopsy specimens from 303 patients with aggressive lymphomas were profiled for gene expression and were also classified according to morphology, immunohistochemistry, and detecti  ...[more]

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