Document Detail


mRNA microarray analysis in lymphoma and leukemia.
MedLine Citation:
PMID:  15217204     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We have reviewed the ability of gene expression microarrays to characterize subgroups of lymphoma and leukemia, identify expression profiles that correlate with known cytogenetic abnormalities, demonstrate that expression profiles can predict prognosis, new proteins identified for diagnosis and followup, and provided new therapeutic targets for chemotherapy. We can expect that new prognostic models will be designed and tested, incorporating the pathologic diagnosis based on morphology, the molecular gene expression profile, and the clinical assessment (e.g. International prognostic index). In addition, the gene expression profiles will be used to generate correlative and ultimately predictive data for response to particular chemotherapeutic regimens. Translation for clinical usage is likely in a diagnostic fashion in both lymphoma and leukemia.
Authors:
Timothy C Greiner
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Cancer treatment and research     Volume:  121     ISSN:  0927-3042     ISO Abbreviation:  Cancer Treat. Res.     Publication Date:  2004  
Date Detail:
Created Date:  2004-06-25     Completed Date:  2004-07-16     Revised Date:  2005-11-16    
Medline Journal Info:
Nlm Unique ID:  8008541     Medline TA:  Cancer Treat Res     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  1-12     Citation Subset:  IM    
Affiliation:
Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, Nebraska, USA.
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MeSH Terms
Descriptor/Qualifier:
Animals
Gene Expression Profiling
Gene Expression Regulation, Neoplastic*
Humans
Leukemia / genetics*
Lymphoma / genetics*
Oligonucleotide Array Sequence Analysis*
RNA, Messenger / analysis*
Chemical
Reg. No./Substance:
0/RNA, Messenger

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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