Publications (2)7.12 Total impact
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Article: Population frequencies of single nucleotide polymorphisms (SNPs) in immuno-modulatory genes.
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ABSTRACT: Inherited polymorphisms in immuno-modulatory genes may contribute to variations in immune function and genetic susceptibility for complex diseases, including cancer. We report results from a comprehensive study to discover novel single nucleotide polymorphisms (SNPs) and to estimate allelic frequency for both novel and known coding and regulatory region SNPs in genes encoding proteins that have been implicated in the immune response to tumors. We identified 12 novel nucleotide substitution variants and one deletion variant in 17 genes analyzed (TGFBETA;R, BETA;2M, IFNGAMMA;, TNFALPHA;, TNFALPHA;R, LTALPHA;, IL-6, IL-12, IL-2, IL-1ALPHA;, IL-1BETA;, IL-1RN, IL-10, CTLA4, CD40L, FAS and FASL). We determined the frequency of these novel polymorphisms, as well as 17 previously identified polymorphisms, in a control sample of 158 individuals, approximately half of which were Caucasian (n = 74) and half of which were African American (n = 84). Significant differences in allele frequencies were observed between the two racial groups for 13/17 genes tested. These allelic variations maybe associated with alterations in immune function and thus susceptibility to a number of complex disease states such as cancer.Human Heredity 02/2003; 55(4):171-8. · 1.79 Impact Factor -
Article: Characterization of adjacent breast tumors using oligonucleotide microarrays.
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ABSTRACT: Current methodology often cannot distinguish second primary breast cancers from multifocal disease, a potentially important distinction for clinical management. In the present study we evaluated the use of oligonucleotide-based microarray analysis in determining the clonality of tumors by comparing gene expression profiles. Total RNA was extracted from two tumors with no apparent physical connection that were located in the right breast of an 87-year-old woman diagnosed with invasive ductal carcinoma (IDC). The RNA was hybridized to the Affymetrix Human Genome U95A Gene Chip (12,500 known human genes) and analyzed using the Gene Chip Analysis Suite 3.3 (Affymetrix, Inc, Santa Clara, CA, USA) and JMPIN 3.2.6 (SAS Institute, Inc, Cary, NC, USA). Gene expression profiles of tumors from five additional patients were compared in order to evaluate the heterogeneity in gene expression between tumors with similar clinical characteristics. The adjacent breast tumors had a pairwise correlation coefficient of 0.987, and were essentially indistinguishable by microarray analysis. Analysis of gene expression profiles from different individuals, however, generated a pairwise correlation coefficient of 0.710. Transcriptional profiling may be a useful diagnostic tool for determining tumor clonality and heterogeneity, and may ultimately impact on therapeutic decision making.Breast Cancer Research 02/2001; 3(5):336-41. · 5.33 Impact Factor
