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Previous Volume 351:197-198 July 8, 2004 Number 2 Next

	Since this article has no abstract, we have provided an extract of the first 100 words of the full text and any section headings.

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To the Editor: In a recent article in the Journal, Tian et al. showed the power of microarray data mining in finding new links between single genes (e.g., dickkopf1 [DKK1]) and clinical features of a disease (in the case of DKK1, bone lesions in multiple myeloma).¹ We recently divided multiple myeloma into five molecular subtypes (called translocation and cyclin D [TC] types) on the basis of cyclin D1 messenger RNA expression (without an 11q13 translocation) and the presence of translocations in the immunoglobulin heavy-chain gene, from chromosome 14 to 11q13 or 6p21, to 4p16, and to . . . [Full Text of this Article]

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