15 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalCancer treatment and research
Volume121
StatePublished - Jan 1 2004

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Microarray Analysis
Transcriptome
Lymphoma
Leukemia
Messenger RNA
Chromosome Aberrations
Gene Expression
Drug Therapy
Proteins
Therapeutics

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

mRNA microarray analysis in lymphoma and leukemia. / Greiner, Timothy Charles.

In: Cancer treatment and research, Vol. 121, 01.01.2004, p. 1-12.

Research output: Contribution to journalReview article

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