Genetic variations, molecular and histopathological features, age and stage predict the recurrence risk of breast cancer patients. Gene polymorphisms encoding the enzymes involved in transport and metabolism of drugs, DNA repair or drug pharmacodynamics may predict the treatment response or chemotherapy resistence. In this context, we aimed to investigate the association of single nucleotide polymoprhisms in NQO1, CYP3A4, ERCC1, ERCC2, FGFR4, TP53, ERBB2, ABCB1 and 5-years reccurent rate.
Operated breast cancer patients followed in Gaziantep University Oncology Hospital between June 2004 and June 2011 were analyzed retrospectively. Clinicopathologic variables and administered treatment schemes were noted. Blood samples were taken and genomic DNA was extracted. ' Genotyping the Fluidigm Digital Array' was performed and 'genomic DNA a 96.96 dynamic array on the BioMark HD system' was used for evaluation. Relations of these parameters with 5-year recurrence risk were analyzed with univariate and multivariate regression models.
286 patients were included in this study. According to tumor size, recurrence rates of T1/T2/T3 and T4 patients were 17.1%/17.2%/34.5% and 18.2% respectively (p = 0.045). According to lymph node status, recurrence rates of N0/N1/N2 and N3 patients were 12%/13.4%/32.6% and 51.4% respectively (p
ERCC1 and p53 genes can predict the 5-year recurrence risk of lymph node positive breast cancer patients.
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All authors have declared no conflicts of interest.