We have created a molecular resource of genes expressed in primary malignant plasma cells using a combination of cDNA library construction, 5 end single-pass sequencing, bioinformatics, and microarray analysis. In total, we identified 9732 nonredundant expressed genes. This dataset is available as the Myeloma Gene Index (www.uhnres.utoronto.ca/akstewart_lab). Predictably, the sequenced profile of myeloma cDNAs mirrored the known function of immunoglobulin-producing, highrespiratory rate, low-cycling, terminally differentiated plasma cells. Nevertheless, approximately 10% of myeloma-expressed sequences matched only entries in the database of Expressed Sequence Tags (dbEST) or the high-throughput genomic sequence (htgs) database. Numerous novel genes of potential biologic significance were identified. We therefore spotted 4300 sequenced cDNAs on glass slides creating a myeloma-enriched microarray. Several of the most highly expressed genes identified by sequencing, such as a novel putative disulfide isomerase (MGC3178), tumor rejection antigen TRA1, heat shock 70-kDa protein 5, and annexin A2, were also differentially expressed between myeloma and B lymphoma cell lines using this myelomaenriched microarray. Furthermore, a defined subset of 34 up-regulated and 18 down-regulated genes on the array were able to differentiate myeloma from nonmyeloma cell lines. These not only include genes involved in B-cell biology such as syndecan, BCMA, PIM2, MUM1/IRF4, and XBP1, but also novel uncharacterized genes matching sequences only in the public databases. In summary, our expressed gene catalog and myelomaenriched microarray contains numerous genes of unknown function and may complement other commercially available arrays in defining the molecular portrait of this hematopoietic malignancy.

The G870A polymorphism in the CCND1 gene may influence cancer risk. However, data from published studies with individual low statistical power have been controversial. To evaluate whether combined evidence shows an association between this polymorphism and cancer, we considered all available studies in a meta-analysis. Sixty studies were combined representing data for 18,411 cases and 22,209 controls. In our meta-analysis, we investigated overall sample and two ethnic populations (Caucasians and Asians) as well as nine cancer subtypes. Individuals who are homozygous for A allele (AA) were found to be associated with significantly increased cancer risk in overall sample [odds ratio (OR), 1.23; 95% confidence interval (95% CI), 1.13-1.33; P V 0.0001], Caucasians (OR, 1.16; 95% CI, 1.07-1.26; P = 0.0002), and Asians (OR, 1.26; 95% CI, 1.14-1.39; P V 0.001). Among the nine cancer subtypes investigated, modestly significant risk (ORs, 1.08 to 1.51; P = 0.02 to 0.04) was detected in breast, colorectal, head and neck, and other cancers. Highly significant and increased risk was found to be associated with genitourinary (OR, 1.51; 95% CI, 1.20-1.89; P = 0.0004) and blood-related cancers (OR, 1.62; 95% CI, 1.28-2.