RESUMO
ABSTRACT Background: Her-2 and ESR1 genes, that interact in the cell signaling pathway, are the most important molecular markers of breast cancer, which have been amplified or overexpressed in 30% and 70%, respectively. This study was performed to evaluate the gene expression levels of Her-2 and ESR1 genes in tumor cells and its adjacent normal tissue of breast cancer patients and compared them whit clinical-pathological features. Methods: In total, 80 tissue specimens from 40 patients, with an average age of 48.47 years, were examined by Real-time PCR technique, and ultimately evaluated the expression level of Her-2 and ESR1genes. The data were analyzed by REST 2009 V2.0.13 statistical software. Results: HER2 and ESR1 overexpression was identified in 19 (48%) and 12 (30%) of 40 patients respectively, which was higher and lower than that recorded in international statistics, respectively. ESR1 overexpression was associated with Stage 3A and lymph node involvement 2 (N2) (P = 0.04 and P = 0.047, respectively). No significant correlation was observed between the expression of HER2 and ESR1 and other clinical-pathological features, however, the relative differences were identified in the expression levels of genes between main group and groups that were classified according to the clinical-pathological features and age. Conclusions: Overexpression of Her-2 and ESR1 genes in the patients of our study are higher and lower than international statistics, respectively, indicating the differences in genetic, environmental and ethnic factors that involved in the developing of breast cancer.
RESUMO
ABSTRACT Background: Her-2 and ESR1 genes, that interact in the cell signaling pathway, are the most important molecular markers of breast cancer, which have been amplified or overexpressed in 30% and 70%, respectively. This study was performed to evaluate the gene expression levels of Her-2 and ESR1 genes in tumor cells and its adjacent normal tissue of breast cancer patients and compared them whit clinical-pathological features. Methods: In total, 80 tissue specimens from 40 patients, with an average age of 48.47 years, were examined by Real-time PCR technique, and ultimately evaluated the expression level of Her-2 and ESR1genes. The data were analyzed by REST 2009 V2.0.13 statistical software. Results: HER2 and ESR1 overexpression was identified in 19 (48%) and 12 (30%) of 40 patients respectively, which was higher and lower than that recorded in international statistics, respectively. ESR1 overexpression was associated with Stage 3A and lymph node involvement 2 (N2) (P = 0.04 and P = 0.047, respectively). No significant correlation was observed between the expression of HER2 and ESR1 and other clinical-pathological features, however, the relative differences were identified in the expression levels of genes between main group and groups that were classified according to the clinical-pathological features and age. Conclusions: Overexpression of Her-2 and ESR1 genes in the patients of our study are higher and lower than international statistics, respectively, indicating the differences in genetic, environmental and ethnic factors that involved in the developing of breast cancer.
RESUMO
Many cancer researchers use gene expression analysis for differentiation between tumor and normal cells for diagnostic, prognostic and therapeutic purposes. Most of studies compare either tumor cell lines by normal cell lines or tumor tissue of affected individuals by normal healthy control tissue. But expression of each special gene is unique in different individuals and also in different tissue of same individual. For this reason, here we compare the gene expression levels of SMAD7 and KLF10 in tumor cells and its adjacent normal tissue of breast cancer patients and compared them. For this purpose, a total of 40 tumor and matched tumor-free margin samples were obtained during surgery. The SMAD7 and KLF10 mRNA expression levels in tumor and marginal samples were examined by real-time quantitative PCR. Results are not concordant with previous studies and comparison of only SMAD7 or KLF10 is not useful for differentiating between tumor and margin cells, but ratio analysis of these two genes, SMAD7/ KLF10, can be indicative than study of one gene alone. We concluded that gene expression analysis of tumor cells with adjacent normal tissue are essential for precise identification and interpretation of cancer alterations and have important implications for the diagnostic and therapeutic management of cancer patients.