Breast cancer is one of the most common cancers through the world that ranked second with respect to its mortality rate. If malignant cancer detected and cured in its initial stages, lifespan in more than 90 percent of patients can be increased. Because of scientific and ethical limitations of conducting researches on human diseases, it is necessary to establish suitable animal models for these purposes. The dog is an appropriate model for studying breast cancer. The main goal of current study was to optimize SYBR Green based quantitative Real-time PCR (qRT-PCR) approach to measure relative expression levels of p53 and VEGF-C genes in normal and cancerous specimens. Eight normal mammary glands and 11 mammary gland tumors (including 7 benign and 4 malignant mammary tumors) were used in this study. Total RNA was extracted and p53, VEGF-C and B-Actin genes fragments were reverse transcribed. Real-time PCR assay were used for quantification of mRNA expression levels. Results were statistically analyzed using Student t-test. Findings showed that all of these three genes were expressed in both normal and cancerous samples but VEGF-C expression in the malignant mammary tumors was much higher than in the benign mammary tumors or normal mammary tissue (P<0.001). In contrast to the normal samples, 9%, 18% and 73% of malignant samples had shown higher, equal and lower of p53 gene expression, respectively.

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