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Comparison and Identification of Estrogen-Receptor Related Gene Expression Profiles in Breast Cancer of Different Ethnic Origins
Author(s) -
HsiaoWei Chen,
HsuanCheng Huang,
Yi-Shing Lin,
KingJen Chang,
WenHung Kuo,
HsiaoLin Hwa,
FonJou Hsieh,
HsuehFen Juan
Publication year - 2008
Publication title -
breast cancer basic and clinical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.741
H-Index - 23
ISSN - 1178-2234
DOI - 10.4137/bcbcr.s626
Subject(s) - breast cancer , single nucleotide polymorphism , estrogen receptor , cancer , snp , oncology , estrogen receptor alpha , population , genotype , medicine , genetics , biology , bioinformatics , gene , environmental health
The interactions between genetic variants in estrogen receptor (ER) have been identified to be associated with an increased risk of breast cancer. Available evidence indicates that genetic variance within a population plays a crucial role in the occurrence of breast cancer. Thus, the comparison and identification of ER-related gene expression profiles in breast cancer of different ethnic origins could be useful for the development of genetic variant cancer therapy. In this study, we performed microarray experiment to measure the gene expression profiles of 59 Taiwanese breast cancer patients; and through comparative bioinformatics analysis against published U.K. datasets, we revealed estrogen-receptor (ER) related gene expression between Taiwanese and British patients. In addition, SNP databases and statistical analysis were used to elucidate the SNPs associated with ER status. Our microarray results indicate that the expression pattern of the 65 genes in ER+ patients was dissimilar from that of the ER- patients. Seventeen mutually exclusive genes in ER-related breast cancer of the two populations with more than one statistically significant SNP in genotype and allele frequency were identified. These 17 genes and their related SNPs may be important in population-specific ER regulation of breast cancer. This study provides a global and feasible approach to study population-unique SNPs in breast cancer of different ethnic origins.

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