Abstract
Molecular analysis of human tumors could facilitate the earlier detection of cancers, as well as the subtyping of cancers on the basis of prognosis or treatment modalities. DNA microarrays enable the relative levels of mRNAs of thousands of genes to be measured simultaneously from any given sample. mRNA expression profiling of large subsets of genes by microarray-based studies has already been successfully employed to subclassify diffuse large B-cell lymphomas and acute leukemias. To translate microarray data into routine clinical use, it is necessary to identify a small set of genes whose expression levels can be used as markers for cancer diagnosis and outcome prediction. This can be achieved by evaluating the most promising markers from microarray analysis individually to assess their clinical relevance.
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