PMID: 15217204Jun 26, 2004Paper

mRNA microarray analysis in lymphoma and leukemia

Cancer Treatment and Research
Timothy C Greiner

Abstract

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.

Citations

May 10, 2005·Blood·Torsten HaferlachClaudia Schoch
Oct 29, 2008·Evidence-based Complementary and Alternative Medicine : ECAM·Chin-Fu Chen, Chun-Huai Cheng
Oct 1, 2008·Circulation. Cardiovascular Genetics·Kahraman Tanriverdi, Jane E Freedman
Jan 7, 2005·The FEBS Journal·Julio E CelisPavel Gromov
Sep 7, 2007·ANZ Journal of Surgery·Meagan Brennan, Andrew Spillane
Oct 20, 2010·Annals of the New York Academy of Sciences·Jane E FreedmanKahraman Tanriverdi
Sep 13, 2008·Cardiovascular Therapeutics·Jane E Freedman

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