Abstract
Javed Khan et al. report for the first time in Nature Medicine (June issue) the use of gene expression microarrays and an analysis of the data using an artificial neural network (ANN) to differentiate between several closely-related types of childhood cancer. The four types of childhood tumours used in this study have a similar appearance under the microscope, which can lead to misdiagnosis and improper treatment. The study began by simultaneously analysing >6000 known genes present in all cells. Among those, the researchers identified 41 genes expressed in the tumours that had not been previously associated with these diseases. Some of these gene products might be good targets for new drug treatments. DM
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