Expression data from human breast tumors and their paired normal tissues

Microarray is widely used to monitor gene expression changes in breast cancer. The transcriptomic changes in breast cancer is commonly occured during the transition of normal cells to cancerous cells. This is the first study on gene expression profiling of multi ethnic of Malaysian breast cancer patients (Malays, Chinese and Indian). We aim to identify differentially expressed genes between tumors and normal tissues. We have identified a set of 33 significant differentially expressed genes in the tumor vs. normal group at p<0.001. We study the gene expression patterns of 43 breast tumors and their paired normal control by using Affymetrix genechip U133A. We have identified a set of 33 significant differentially expressed genes in the tumor vs. normal group at p<0.001. Total RNAs were extracted from breast cancer and normal tissues. Samples were processed and hybridized on the chip for 16 hours. At the end of the study, we obtained a total of 86 set of gene expression data, which were from 43 tumors and 43 normal tissues. The gene expression were then compared between the tumor and normal groups.

微阵列（Microarray）技术被广泛应用于乳腺癌基因表达变化的监测。乳腺癌的转录组变化通常发生在正常细胞向癌细胞转化的过程中。本研究为首个针对马来西亚多族裔（马来人、华人与印度人）乳腺癌患者的基因表达谱分析研究，旨在鉴定肿瘤组织与正常对照组织间的差异表达基因。研究团队在p<0.001的显著性水平下，于肿瘤组与正常对照组中鉴定出33个显著差异表达基因。本研究采用Affymetrix GeneChip U133A基因芯片，检测了43例乳腺癌组织及其配对正常对照组织的基因表达模式。本次研究再次在p<0.001的显著性水平下，于肿瘤组与正常对照组中鉴定出33个显著差异表达基因。研究人员从乳腺癌组织与正常组织中提取总RNA，对样本进行处理后将其与芯片进行16小时的杂交反应。本研究最终共获得86组基因表达数据，其中43组来自肿瘤组织，43组来自正常对照组织。随后对肿瘤组与正常对照组的基因表达数据进行了对比分析。