Gene expression profiling detects gene amplification and differentiates tumor types in breast cancer.

Global gene expression analysis using microarrays has been used to characterize the molecular profile of tumors. Gene expression variability at the mRNA level can be caused by a number of different events, including novel signaling, downstream activation of transcription enhancers or silencers, somatic mutation, and genetic amplification or deletion. Genomic amplifications are commonly observed in cancer and often include known oncogenes. The tyrosine kinase-type cell surface receptor, ERBB2, is an oncogene located on chromosome 17q21.1 that is amplified in 10-40% of breast tumors. We report for the first time that phenylethanolamine N-methyltransferase (PNMT), proteasome subunit, beta type 3 (PSMB3), ribosomal protein L19 (RPL19), and nuclear receptor subfamily 1, group D, member 1 (NR1D1) are coexpressed with ERBB2 in 34 breast cancer biopsies and also mapped within the same chromosomal location as the ERBB2 gene. Consistent with previous reports, we also observed that the steroidogenic acute regulatory protein-related gene, MLN64, and growth factor receptor bound protein 7 were coexpressed with ERBB2. Coexpression and colocalization of PNMT and MLN64 with ERBB2 suggested that the amplification of ERBB2 includes the chromosomal region harboring these genes. This hypothesis was validated in a subset of 12 biopsies. Gene amplification of ERBB2, PNMT, and MLN64 significantly correlated with increased mRNA gene expression (P < 0.05). These results suggest that gene expression profiling of breast biopsies may become a valuable method for adequately characterizing and choosing treatment modality for patients with breast cancer.

Correlation of major cytogenetic response with a pharmacogenetic marker in chronic myeloid leukemia patients treated with imatinib (STI571).

PURPOSE: Imatinib, an inhibitor of the Bcr-Abl tyrosine kinase, is indicated for the treatment of patients with Philadelphia chromosome-positive chronic myeloid leukemia. We examined genotypes from patients enrolled in the International Randomized Study of IFN-alpha versus STI571 in an attempt to identify factors that associate with cytogenetic response. EXPERIMENTAL DESIGN: Sixty-eight polymorphic loci in 26 genes were examined in a subset of 187 patients (imatinib-treated patients, n = 113; IFN + 1-beta-D-arabinofuranosylcytosine-treated patients, n = 74). Correlations between genotype and major cytogenetic response (MCyR) were examined by Fisher's exact tests. Multivariate and survival analyses were also performed. RESULTS: A significant association between MCyR and the rs2290573 polymorphism mapped to 15q22.33 was observed in imatinib-treated patients (P = 0.00037, Bonferroni corrected P = 0.025). Individuals with a CC genotype at this locus had a MCyR rate of 52% compared with individuals with a CT or TT genotype that had a MCyR rate of 89% (odds ratio, 6.72; 95% confidence interval, 1.51-29.91). In a multivariate analysis, the rs2290573 polymorphism was significant, whereas Sokal score was not. Time to progression analysis illustrated a significant difference based on genotype for the rs2290573 polymorphism. CONCLUSIONS: A significant association was identified between the genetic polymorphism rs2290573 and MCyR in imatinib-treated patients. This polymorphism is located in the intronic sequence of a putative gene with a tyrosine kinase domain. Multivariate analysis suggests that an individual's genotype for rs2290573 has more predictive value for MCyR than prognostic variables such as Sokal score. The clinical relevance of these results requires validation in future clinical trials.